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1. A baseline of atmospheric greenhouse gases for prospective UK shale gas sites

Author:
Shaw, Jacob T.; Allen, Grant; Pitt, Joseph; Mead, Mohammed I.; Purvis, Ruth M.; Dunmore, Rachel; Wilde, Shona; Shah, Adil; Barker, Patrick; Bateson, Prudence; Bacak, Asan; Lewis, Alastair C.; Lowry, David; Fisher, Rebecca; Lanoisellé, Mathias; Ward, Robert S.
Source:
The Science of the total environment 2019 v.684 pp. 1-13
ISSN:
0048-9697
Subject:
algorithms,   etc   ; atmospheric chemistry; carbon dioxide; case studies; climatology; data collection; energy; environmental factors; greenhouse gases; hydraulic fracturing; industrial sites; issues and policy; meteorological parameters; methane; methane production; mixing; mixing ratio; models; monitoring; public health; shale gas; stakeholders; England;     Show all 23 Subjects
Abstract:
... We report a 24-month statistical baseline climatology for continuously-measured atmospheric carbon dioxide (CO2) and methane (CH4) mixing ratios linked to surface meteorology as part of a wider environmental baselining project tasked with understanding pre-existing local environmental conditions prior to shale gas exploration in the United Kingdom.The baseline was designed to statistically charact ...
DOI:
10.1016/j.scitotenv.2019.05.266

2. A biased load manager home energy management system for low-cost residential building low-income occupants

Author:
Monyei, Chukwuka G.; Adewumi, Aderemi O.; Akinyele, Daniel; Babatunde, Olubayo M.; Obolo, Michael O.; Onunwor, Joshua C.
Source:
Energy 2018 v.150 pp. 822-838
ISSN:
0360-5442
Subject:
algorithms,   etc   ; batteries; carbon; computer software; developing countries; electricity costs; emissions; energy; income; prioritization; residential housing; solar collectors; solar radiation;     Show all 13 Subjects
Abstract:
... This research paper presents the development of a biased load manager home energy management system for low-cost residential building occupants. As a smart grid framework, the proposed load manager coordinates the operation of the inverter system of a low cost residential apartment consisting of rooftop solar photovoltaic panels, converter and battery, and provides a platform for discriminating re ...
DOI:
10.1016/j.energy.2018.03.016

3. Ab Initio Investigation of Atomistic Insights into the Nanoflake Formation of Transition-Metal Dichalcogenides: The Examples of MoS₂, MoSe₂, and MoTe₂

Author:
Caturello, Naidel A. M. S.; Besse, Rafael; Da Silva, Augusto C. H.; Guedes-Sobrinho, Diego; Lima, Matheus P.; Da Silva, Juarez L. F.
Source:
Journal of physical chemistry 2018 v.122 no.47 pp. 27059-27069
ISSN:
1932-7455
Subject:
algorithms,   etc   ; density functional theory; energy; molybdenum disulfide; physical chemistry; physicochemical properties; selenium; sulfur; tellurium; tree growth;     Show all 10 Subjects
Abstract:
... An atom-level understanding of the evolution of the physical and chemical properties of transition-metal dichalcogenide (TMD) nanoflakes is a key step to improve our knowledge of two-dimensional (2D) TMD materials, which can help in the designing of new 2D materials. Here, we report a density functional theory (DFT) study of the evolution of the structural, energetic, and electronic properties of ...
DOI:
10.1021/acs.jpcc.8b07127

4. A Branch-and-Bound Algorithm for Optimal Pump Scheduling in Water Distribution Networks

Author:
Costa, Luis Henrique Magalhães; de Athayde Prata, Bruno; Ramos, Helena M.; de Castro, Marco Aurélio Holanda
Source:
Water resources management 2016 v.30 no.3 pp. 1037-1052
ISSN:
0920-4741
Subject:
algorithms,   etc   ; energy; energy conservation; water distribution;     Show all 4 Subjects
Abstract:
... Nowadays water distribution operation systems are accomplished with the aid of qualified professionals who use their experience in order to achieve a satisfactory performance of the several hydromechanical devices, which are part of the system, such as boosters and valves. In general, these operational rules are empirical and the main goal is to assure the availability of water for the population, ...
DOI:
10.1007/s11269-015-1209-2

5. A case study of the sizing and optimisation of an energy pile foundation (Rosborg, Denmark)

Author:
Alberdi-Pagola, Maria; Poulsen, Søren Erbs; Jensen, Rasmus Lund; Madsen, Søren
Source:
Renewable energy 2018
ISSN:
0960-1481
Subject:
algorithms,   etc   ; case studies; energy; models; renewable energy sources; temperature; thermal conductivity; Denmark;     Show all 8 Subjects
Abstract:
... This paper applies previously validated multiple pile g-functions, for estimating operational average fluid temperatures in an actual energy pile foundation in Rosborg, Denmark. We find that the multiple pile g-functions yield fluid temperatures similar to what is observed, at minimal computational cost. The temperature model is then utilised in an optimisation algorithm that yields the minimum nu ...
DOI:
10.1016/j.renene.2018.07.100

6. Acceleration curve optimization for electric vehicle based on energy consumption and battery life

Author:
Li, Lifu; Liu, Qin
Source:
Energy 2019 v.169 pp. 1039-1053
ISSN:
0360-5442
Subject:
algorithms,   etc   ; batteries; electric vehicles; energy; energy conservation; system optimization;     Show all 6 Subjects
Abstract:
... The existing research of electric vehicle acceleration curves optimization mainly focuses on minimum energy consumption, without considering the battery life. This paper focuses on solving a multi-objective optimization problem with two conflicting objectives: minimization of energy consumption per kilometer and minimization of percentage of battery capacity loss per kilometer during acceleration ...
DOI:
10.1016/j.energy.2018.12.065

7. AccessFold: predicting RNA–RNA interactions with consideration for competing self-structure

Author:
DiChiacchio, Laura; Sloma, Michael F.; Mathews, David H.
Source:
Bioinformatics 2016 v.32 no.7 pp. 1033-1039
ISSN:
1460-2059
Subject:
algorithms,   etc   ; Gibbs free energy; binding sites; bioinformatics; energy; energy density; nucleotides; prediction; small nuclear RNA; translation (genetics);     Show all 10 Subjects
Abstract:
... Motivation: There are numerous examples of RNA–RNA complexes, including microRNA–mRNA and small RNA–mRNA duplexes for regulation of translation, guide RNA interactions with target RNA for post-transcriptional modification and small nuclear RNA duplexes for splicing. Predicting the base pairs formed between two interacting sequences remains difficult, at least in part because of the competition bet ...
DOI:
10.1093/bioinformatics/btv682

8. Accurate prediction of secondary structure of tRNAs

Author:
Jiang, Guosong; Chen, Ke; Sun, Jie
Source:
Biochemical and biophysical research communications 2019 v.509 no.1 pp. 64-68
ISSN:
0006-291X
Subject:
algorithms,   etc   ; Gibbs free energy; case studies; data collection; dynamic programming; energy; models; prediction; transfer RNA;     Show all 9 Subjects
Abstract:
... RNA structure plays a key role in understanding its biological function. Currently, the most successful de novo methods for RNA secondary structure prediction are based on free energy minimization. Existing free energy minimization methods focus more on building energy calculation models and optimizing energy parameters while paying less effort on developing structure space search algorithm. This ...
DOI:
10.1016/j.bbrc.2018.12.042

9. Accurate SHAPE-directed RNA secondary structure modeling, including pseudoknots

Author:
Hajdin, Christine E.; Bellaousov, Stanislav; Huggins, Wayne; Leonard, Christopher W.; Mathews, David H.; Weeks, Kevin M.
Source:
Proceedings of the National Academy of Sciences of the United States of America 2013 v.110 no.14 pp. 5498-5503
ISSN:
0027-8424
Subject:
algorithms,   etc   ; RNA; acylation; dynamic programming; energy; models; nucleotides; prediction; regulatory sequences; thermodynamics; viruses;     Show all 11 Subjects
Abstract:
... A pseudoknot forms in an RNA when nucleotides in a loop pair with a region outside the helices that close the loop. Pseudoknots occur relatively rarely in RNA but are highly overrepresented in functionally critical motifs in large catalytic RNAs, in riboswitches, and in regulatory elements of viruses. Pseudoknots are usually excluded from RNA structure prediction algorithms. When included, these p ...
DOI:
10.1073/pnas.1219988110
PubMed:
23503844
PubMed Central:
PMC3619282

10. A climate control methodology based on wireless sensor networks in greenhouses

Author:
Ferentinos, K. P.; Katsoulas, N.; Tzounis, A.; Kittas, C.; Bartzanas, T.
Source:
Acta horticulturae 2015 no.1107 pp. 75-82
ISSN:
0567-7572
Subject:
algorithms,   etc   ; climate; control methods; decision making; electromagnetic field; energy; greenhouses; horticulture; monitoring; packaging; remote sensing;     Show all 11 Subjects
Abstract:
... This work proposes the design and operation methodologies of a wireless sensor network (WSN) in the greenhouse environment that can lead to the development of an advanced, distributed monitoring and control system. The combined use of conventional sensors with remote sensing technology embedded in a WSN, together with processing algorithms that provide the synthesized information (e.g., performanc ...
DOI:
10.17660/ActaHortic.2015.1107.9

11. A clustering based grouping method of nearly zero energy buildings for performance improvements

Author:
Huang, Pei; Sun, Yongjun
Source:
Applied energy 2019 v.235 pp. 43-55
ISSN:
0306-2619
Subject:
algorithms,   etc   ; buildings; decision making; economic costs; energy; planning; renewable energy sources;     Show all 7 Subjects
Abstract:
... Collaborations among nearly zero energy buildings (nZEBs) (e.g. renewable energy sharing) can improve nZEBs’ performance at the community level. To enable such collaborations, the nZEBs need to be properly grouped. Grouping nZEBs with similar energy characteristics merely brings limited benefits due to limited collaboration existed, while grouping nZEBs with diverse energy characteristics can brin ...
DOI:
10.1016/j.apenergy.2018.10.116

12. A Combination of Genetic Algorithm and Particle Swarm Optimization for Optimal Distributed Generation Location and Sizing in Distribution Systems with Fuzzy Optimal Theory

Author:
Moradi, M. H.; Abedini, M.
Source:
International journal of green energy 2012 v.9 no.7 pp. 641-660
ISSN:
1543-5083
Subject:
algorithms,   etc   ; electric power; energy; system optimization;     Show all 4 Subjects
Abstract:
... Distributed generation (DG) sources are becoming more prominent in distribution systems due to the incremental demands for electrical energy. Locations and capacities of DG sources have profoundly impacted on the system losses in a distribution network. In this paper, a novel combined genetic algorithm (GA)/particle swarm optimization (PSO) is presented for optimal location and sizing of DG on dis ...
DOI:
10.1080/15435075.2011.625590

13. A combined resource allocation framework for PEVs charging stations, renewable energy resources and distributed energy storage systems

Author:
Kandil, S.M.; Farag, Hany E.Z.; Shaaban, Mostafa F.; El-Sharafy, M. Zaki
Source:
Energy 2017
ISSN:
0360-5442
Subject:
algorithms,   etc   ; Markov chain; case studies; energy; renewable energy sources; resource allocation; simulation models; uncertainty; vehicles (equipment);     Show all 9 Subjects
Abstract:
... The massive deployment of plug-in electric vehicles (PEVs), renewable energy resources (RES), and distributed energy storage systems (DESS) has gained significant interest under the smart grid vision. However, their special features and operational characteristics have created a paradigm shift in distribution network resource allocation studies. This paper presents a combined model formulation for ...
DOI:
10.1016/j.energy.2017.11.005

14. A comparative analysis of meta-heuristic methods for power management of a dual energy storage system for electric vehicles

Author:
Trovão, João P.; Antunes, Carlos Henggeler
Source:
Energy conversion and management 2015 v.95 pp. 281-296
ISSN:
0196-8904
Subject:
algorithms,   etc   ; batteries; electric vehicles; energy;     Show all 4 Subjects
Abstract:
... This work is focused on the performance evaluation of two meta-heuristic approaches, simulated annealing and particle swarm optimization, to deal with power management of a dual energy storage system for electric vehicles. The proposed strategy is based on a global energy management system with two layers: long-term (energy) and short-term (power) management. A rule-based system deals with the lon ...
DOI:
10.1016/j.enconman.2015.02.030

15. A comparative study and validation of state estimation algorithms for Li-ion batteries in battery management systems

Author:
Klee Barillas, Joaquín; Li, Jiahao; Günther, Clemens; Danzer, Michael A.
Source:
Applied energy 2015 v.155 pp. 455-462
ISSN:
0306-2619
Subject:
algorithms,   etc   ; energy; lithium batteries; management systems;     Show all 4 Subjects
Abstract:
... To increase lifetime, safety, and energy usage battery management systems (BMS) for Li-ion batteries have to be capable of estimating the state of charge (SOC) of the battery cells with a very low estimation error. The accurate SOC estimation and the real time reliability are critical issues for a BMS. In general an increasing complexity of the estimation methods leads to higher accuracy. On the o ...
DOI:
10.1016/j.apenergy.2015.05.102

16. A comparative study of extremum seeking methods applied to online energy management strategy of fuel cell hybrid electric vehicles

Author:
Zhou, Daming; Ravey, Alexandre; Al-Durra, Ahmed; Gao, Fei
Source:
Energy conversion and management 2017 v.151 pp. 778-790
ISSN:
0196-8904
Subject:
algorithms,   etc   ; controllers; durability; dynamic programming; energy; fuel cells; hydrogen; lithium batteries; vehicles (equipment);     Show all 9 Subjects
Abstract:
... As an online adaptive optimization algorithm, the extremum seeking method (ESM) can be effectively employed to find an optimal operating point of a static nonlinear system in real-time. This paper presents a comparative study of different ESM schemes for online energy management strategy of fuel cell hybrid electric vehicles (FCHEVs). By applying the extremum seeking controller, the fuel cell syst ...
DOI:
10.1016/j.enconman.2017.08.079

17. A comparison between two statistical and a physically-based model in snow water equivalent mapping

Author:
Bavera, D.; Bavay, M.; Jonas, T.; Lehning, M.; De Michele, C.
Source:
Advances in water resources 2014 v.63 pp. 167-178
ISSN:
0309-1708
Subject:
algorithms,   etc   ; energy; equations; snow; snowpack; statistical models; water resources; winter; Switzerland;     Show all 9 Subjects
Abstract:
... Snow water equivalent (SWE) estimates at the end of the winter season have been compared for the 2002–2006 period in a 200km2 mountainous area in Switzerland, using three different models. The first model, ALPINE3D, is a physically based process-oriented model, which solves the snowpack energy and mass balance equations. The other two models, SWE-SEM and HS-SWE, are statistical algorithms interpol ...
DOI:
10.1016/j.advwatres.2013.11.011

18. A comprehensive approach for wind turbine generation allocation with accurate analysis of load curtailment using nested programming

Author:
Jam, Alireza; Ardehali, Morteza Mohammadi; Hosseinian, Seyed Hossein
Source:
Energy 2017 v.133 pp. 1063-1078
ISSN:
0360-5442
Subject:
algorithms,   etc   ; case studies; electric power; energy; renewable energy sources; system optimization; wind turbines;     Show all 7 Subjects
Abstract:
... Utilization of renewable energy based distributed generation such as wind turbine generation (WTG) provides proper opportunity for enhancement of the electric power distribution networks. However, appropriate integration of WTG in distribution networks is crucial for ensuring quality and reliability of power supply. This paper presents a novel and comprehensive solution methodology for optimum all ...
DOI:
10.1016/j.energy.2017.05.169

19. A comprehensive benchmark of RNA–RNA interaction prediction tools for all domains of life

Author:
Umu, Sinan Uğur; Gardner, Paul P.
Source:
Bioinformatics 2017 v.33 no.7 pp. 988-996
ISSN:
1460-2059
Subject:
algorithms,   etc   ; Gibbs free energy; RNA; bioinformatics; data collection; energy; models; prediction;     Show all 8 Subjects
Abstract:
... Motivation: The aim of this study is to assess the performance of RNA–RNA interaction prediction tools for all domains of life. Results: Minimum free energy (MFE) and alignment methods constitute most of the current RNA interaction prediction algorithms. The MFE tools that include accessibility (i.e. RNAup, IntaRNA and RNAplex) to the final predicted binding energy have better true positive rates ...
DOI:
10.1093/bioinformatics/btw728

20. A comprehensive economic analysis method for selecting the PV array structure in grid–connected photovoltaic systems

Author:
Bakhshi, Reza; Sadeh, Javad
Source:
Renewable energy 2016 v.94 pp. 524-536
ISSN:
0960-1481
Subject:
algorithms,   etc   ; capital; economic analysis; electric power; energy; models; renewable energy sources; solar collectors;     Show all 8 Subjects
Abstract:
... In grid–connected photovoltaic (GCPV) systems, applying a solar tracker results in a higher energy production level. However, this does not necessarily mean a greater profit due to the excess of generation selling, since the capital and maintenance costs increase as well. In this paper, a comprehensive economic analysis method for selecting the PV array structure type has been proposed. To this en ...
DOI:
10.1016/j.renene.2016.03.091

21. A comprehensive evaluation model of regional atmospheric environment carrying capacity: Model development and a case study in China

Author:
Guo, Qian; Wang, Jiayang; Yin, Hongling; Zhang, Gang
Source:
Ecological indicators 2018 v.91 pp. 259-267
ISSN:
1470-160X
Subject:
algorithms,   etc   ; air quality; automobiles; carrying capacity; case studies; dust emissions; energy; environmental indicators; industrialization; models; pollutants; pollution; population growth; smoke; urbanization; wind speed; China;     Show all 17 Subjects
Abstract:
... Atmospheric environment is a complex system affected by economy, society, population and other factors. Based on DPSIRM framework, scientific relationships among those factors were reflected and inherent mechanism of the complex system was studied. 20 indicators were selected to construct an evaluation index system. Optimizing Projection Pursuit by Simulated Annealing algorithm, the Coupling Simul ...
DOI:
10.1016/j.ecolind.2018.03.059

22. A comprehensive fatigue load set reduction study for offshore wind turbines with jacket substructures

Author:
Häfele, Jan; Hübler, Clemens; Gebhardt, Cristian Guillermo; Rolfes, Raimund
Source:
Renewable energy 2018 v.118 pp. 99-112
ISSN:
0960-1481
Subject:
algorithms,   etc   ; energy; renewable energy sources; wind; wind turbines;     Show all 5 Subjects
Abstract:
... Designing jacket substructures for offshore wind turbines demands numerous time domain simulations to face different combinations of wind, wave, and current states. Regarding sophisticated design methods incorporating structural optimization algorithms, a load set reduction is highly desirable. To obtain knowledge about the required size of the design load set, a study on fatigue limit state load ...
DOI:
10.1016/j.renene.2017.10.097

23. A comprehensive study of battery-supercapacitor hybrid energy storage system for standalone PV power system in rural electrification

Author:
Jing, Wenlong; Lai, Chean Hung; Wong, Wallace S.H.; Wong, M.L. Dennis
Source:
Applied energy 2018 v.224 pp. 340-356
ISSN:
0306-2619
Subject:
algorithms,   etc   ; batteries; computer software; durability; electricity; energy; operating costs; rural electrification; simulation models; solar collectors; solar energy; topology;     Show all 12 Subjects
Abstract:
... The standalone photovoltaic power system is one of the promising solutions in rural electrification which has been widely implemented to supply electricity for basic household needs. Standalone photovoltaic power systems normally integrate energy storage devices, mainly Lead-acid battery, to compensate the supply–demand mismatch due to the nature of solar energy. However, the short cycle life of L ...
DOI:
10.1016/j.apenergy.2018.04.106

24. A comprehensive tool for efficient design and operation of polygeneration-based energy μgrids serving a cluster of buildings. Part I: Description of the method

Author:
Piacentino, Antonio; Barbaro, Chiara; Cardona, Fabio; Gallea, Roberto; Cardona, Ennio
Source:
Applied energy 2013 v.111 pp. 1204-1221
ISSN:
0306-2619
Subject:
algorithms,   etc   ; buildings; case studies; cooling; electricity; emissions; energy; energy conservation; heat; linear programming; profitability; tariffs;     Show all 12 Subjects
Abstract:
... Polygeneration systems with thermal energy storage represent promising solutions to achieve energy saving and emissions reduction in the civil sector. The definition of customer-oriented design and operation strategies represents a most challenging task, in order to maximize the profitability and make the investment attractive. A large potential is often recognized for the installation of centrali ...
DOI:
10.1016/j.apenergy.2012.11.078

25. A conditional depreciation balancing strategy for the equitable operation of extended hybrid energy storage systems

Author:
Fan, Feilong; Huang, Wentao; Tai, Nengling; Zheng, Xiaodong; Hu, Yan; Ma, Zhoujun
Source:
Applied energy 2018 v.228 pp. 1937-1952
ISSN:
0306-2619
Subject:
algorithms,   etc   ; batteries; energy; energy density; heating systems; models; China;     Show all 7 Subjects
Abstract:
... Various history life depreciations and energy characteristics of the facilities in the hybrid energy supply system challenge the conventional balancing strategies, which mostly aim to address the state-of-charge imbalance issues. This paper proposes a conditional depreciation balancing strategy to cope with the stated challenge. The conditional depreciation balancing strategy is based on extended ...
DOI:
10.1016/j.apenergy.2018.07.049

26. A contextual-based segmentation of compact PolSAR images using Markov Random Field (MRF) model

Author:
Nazarinezhad, Jamil; Dehghani, Maryam
Source:
International journal of remote sensing 2019 v.40 no.3 pp. 985-1010
ISSN:
1366-5901
Subject:
algorithms,   etc   ; energy; image analysis; polarimetry; preserves; probabilistic models; probability distribution; remote sensing; spatial data; synthetic aperture radar;     Show all 10 Subjects
Abstract:
... As the first major step in each object-oriented feature extraction approach, segmentation plays an essential role as a preliminary step towards further and higher levels of image processing. The primary objective of this paper is to illustrate the potential of Polarimetric Synthetic Aperture Radar (PolSAR) features extracted from Compact Polarimetry (CP) SAR data for image segmentation using Marko ...
DOI:
10.1080/01431161.2018.1523584

27. A convex mathematical program for pump scheduling in a class of branched water networks

Author:
Bonvin, Gratien; Demassey, Sophie; Le Pape, Claude; Maïzi, Nadia; Mazauric, Vincent; Samperio, Alfredo
Source:
Applied energy 2017 v.185 pp. 1702-1711
ISSN:
0306-2619
Subject:
algorithms,   etc   ; drinking water; empirical research; energy; prices; tanks; water distribution; water supply;     Show all 8 Subjects
Abstract:
... We address the day-ahead pump scheduling problem for a class of branched water networks with one pumping station raising water to tanks at different places and levels. This common class is representative of rural drinking water distribution networks, though not exclusively so. Many sophisticated heuristic algorithms have been designed to tackle the challenging general problem. By focusing on a cla ...
DOI:
10.1016/j.apenergy.2015.12.090

28. A copula-based method to consider uncertainties for multi-objective energy management of microgrid in presence of demand response

Author:
Shahryari, E.; Shayeghi, H.; Mohammadi-ivatloo, B.; Moradzadeh, M.
Source:
Energy 2019 v.175 pp. 879-890
ISSN:
0360-5442
Subject:
algorithms,   etc   ; energy; fuel cells; markets; operating costs; pollution; prices; solar energy; uncertainty; wind; wind power; wind turbines;     Show all 12 Subjects
Abstract:
... Utilization of renewable energy sources (RESs) has been increased due to economic-environmental aspects. However, uncertain nature of wind, solar power, market clearing price (MCP), and load complicates the energy management (EM) process of microgrids. This paper studies the EM problem of a grid-connected microgrid from the generating side's perspective. Firstly, the mathematical formulation of mi ...
DOI:
10.1016/j.energy.2019.03.129

29. A cost-energy based methodology for small-scale linear Fresnel reflectors on flat roofs of urban buildings

Author:
Bayón-Cueli, C.; Barbón, A.; Bayón, L.; Barbón, N.
Source:
Renewable energy 2020 v.146 pp. 944-959
ISSN:
0960-1481
Subject:
algorithms,   etc   ; buildings; energy; energy costs; renewable energy sources; urban areas;     Show all 6 Subjects
Abstract:
... This paper proposes a new methodology for determining the geometrical parameters and the optimal distribution of small-scale linear Fresnel reflectors on flat roofs of urban buildings. This engineering problem is highly complex as it involves 21 variables; in contrast to present-day studies available in the literature, our method provides a global solution. The algorithm involves several stages, i ...
DOI:
10.1016/j.renene.2019.07.005

30. Acoustic impact testing and waveform analysis for damage detection in glued laminated timber

Author:
Xu, Feng; Wang, Xiping; Teder, Marko; Liu, Yunfei
Source:
Holzforschung 2017 v.71 no.10 pp. 801-811
ISSN:
1437-434X
Subject:
algorithms,   etc   ; acoustics; buildings; delamination; energy; glulam; wavelet;     Show all 7 Subjects
Abstract:
... Delamination and decay are common structural defects in old glued laminated timber (glulam) buildings, which, if left undetected, could cause severe structural damage. This paper presents a new damage detection method for glulam inspection based on moment analysis and wavelet transform (WT) of impact acoustic signals. Acoustic signals were collected from a glulam arch section removed from service ...
DOI:
10.1515/hf-2016-0237

31. Active free cooling optimization with thermal energy storage in Stockholm

Author:
Chiu, Justin N.W.; Gravoille, Pauline; Martin, Viktoria
Source:
Applied energy 2013 v.109 pp. 523-529
ISSN:
0306-2619
Subject:
algorithms,   etc   ; air conditioning; buildings; climate; cold; cooling; cooling systems; economic sustainability; electricity; energy; energy costs; heat; phase transition; summer; system optimization; winter; Sweden;     Show all 17 Subjects
Abstract:
... Latent heat thermal energy storage (LHTES) integrated active free cooling stores night time cold and serves as heat sink for cooling when demand rises. Passive buildings, albeit their advantages in limiting heat loss during winter time, are often paired with excessive internal overheating in summer, as shown in the first part of this study. Under the climate condition in Stockholm, LHTES systems m ...
DOI:
10.1016/j.apenergy.2013.01.076

32. Active vibration control of circular saw blades

Author:
Gospodarič, B.; Bučar, B.; Fajdiga, G.
Source:
European journal of wood and wood products 2015 v.73 no.2 pp. 151-158
ISSN:
0018-3768
Subject:
algorithms,   etc   ; circular saws; deformation; energy; models; vibration; wood;     Show all 7 Subjects
Abstract:
... Specific conditions are very frequently established in mechanical systems that contain rotating thin disk-shaped tools, causing undesirable transverse deflections or even vibrations. The excitation mode of rotating tools is mechanical, external loads change with time and in certain cases even self-excitation can occur. The problem can be eliminated by a more rigid design of a disk tool, but becaus ...
DOI:
10.1007/s00107-014-0874-9

33. Activity Patterns of Snowy Egrets (Egretta thula) and Great Egrets (Ardea alba): A Seasonal Comparison

Author:
Brzorad, John n.; Maccarone, Alan D.
Source:
Waterbirds 2013 v.36 no.1 pp. 11-19
ISSN:
1524-4695
Subject:
algorithms,   etc   ; Ardea alba; Egretta thula; breeding; breeding season; ecosystems; energy; energy requirements; foraging; rivers; weirs; Florida; Kansas;     Show all 13 Subjects
Abstract:
... Studies must be performed throughout the year to determine how the seasonal energy requirements of Snowy Egrets (Egretta thula) and Great Egrets (Ardea alba) change. Foraging behavior was quantified during the breeding season in Kansas and during the non-breeding season in Florida using energetic algorithms and scan sampling. Fifty-eight percent (n = 287) of breeding Snowy Egrets were observed amb ...
DOI:
10.1675/063.036.0104

34. Actual evapotranspiration in drylands derived from in-situ and satellite data: Assessing biophysical constraints

Author:
García, Monica; Sandholt, Inge; Ceccato, Pietro; Ridler, Marc; Mougin, Eric; Kergoat, Laurent; Morillas, Laura; Timouk, Franck; Fensholt, Rasmus; Domingo, Francisco
Source:
Remote sensing of environment 2013 v.131 pp. 103-118
ISSN:
0034-4257
Subject:
algorithms,   etc   ; Sahel; air temperature; arid lands; ecosystems; eddy covariance; energy; evapotranspiration; grasslands; leaf area index; models; moderate resolution imaging spectroradiometer; remote sensing; savannas; soil water; soil water content; surface temperature; water vapor; Mali; Spain;     Show all 20 Subjects
Abstract:
... Improving regional estimates of actual evapotranspiration (λΕ) in water-limited regions located at climatic transition zones is critical. This study assesses an λΕ model (PT-JPL model) based on downscaling potential evapotranspiration according to multiple stresses at daily time-scale in two of these regions using MSG–SEVIRI (surface temperature and albedo) and MODIS products (NDVI, LAI and fPAR). ...
DOI:
10.1016/j.rse.2012.12.016

35. A cyber-physical-social system with parallel learning for distributed energy management of a microgrid

Author:
Zhang, Xiaoshun; Yu, Tao; Xu, Zhao; Fan, Zhun
Source:
Energy 2018 v.165 pp. 205-221
ISSN:
0360-5442
Subject:
algorithms,   etc   ; case studies; decision making; energy; learning; probability;     Show all 6 Subjects
Abstract:
... A novel cyber-physical-social system (CPSS) with parallel learning is presented for distributed energy management (DEM) of a microgrid. CPSS is developed by extending the conventional cyber-physical system to the social space with human participation and interaction. Each energy supplier or each energy demander is regarded as a human in the social space, who is able to learn the knowledge, co-oper ...
DOI:
10.1016/j.energy.2018.09.069

36. Adapting Multireservoir Operation to Shifting Patterns of Water Supply and Demand : A Case Study for the Xinanjiang-Fuchunjiang Reservoir Cascade

Author:
Vonk, E.; Xu, Y. P.; Booij, M. J.; Zhang, X.; M. Augustijn, D. C.
Source:
Water resources management 2014 v.28 no.3 pp. 625-643
ISSN:
0920-4741
Subject:
algorithms,   etc   ; case studies; climate change; energy; models; socioeconomic development; supply balance; water allocation; water stress; water supply; China;     Show all 11 Subjects
Abstract:
... The aim of this study is to determine whether dam reoperation (the adjustment of reservoir operating rules) is an effective adaptation strategy to reduce the potential impacts of climate change and regional socio-economic developments. The Xinanjiang-Fuchunjiang reservoir cascade, located in Hangzhou Region (China), is selected as case study. We use a scenario-based approach to explore the effects ...
DOI:
10.1007/s11269-013-0499-5

37. Adaptive Curtailment Plan with Energy Storage for AC/DC Combined Distribution Systems

Author:
Jung, Seungmin; Yoon, Yong-Tae; Jang, Gilsoo
Source:
Sustainability 2016 v.8 no.8
ISSN:
2071-1050
Subject:
algorithms,   etc   ; case studies; electrical equipment; energy; solar collectors; water waves; wind power;     Show all 7 Subjects
Abstract:
... For developing a large-scale combined system with a number of distributed resources, an appropriate compensation strategy based on the system components and changeable condition must be configured to handle the characteristics of the internal systems. Since renewable sources generate various fluctuations, the compensation plans for the storage device connected along with the sources should be supp ...
DOI:
10.3390/su8080818

38. Adaptive energy management strategy and optimal sizing applied on a battery-supercapacitor based tramway

Author:
Herrera, Victor; Milo, Aitor; Gaztañaga, Haizea; Etxeberria-Otadui, Ion; Villarreal, Igor; Camblong, Haritza
Source:
Applied energy 2016 v.169 pp. 831-845
ISSN:
0306-2619
Subject:
algorithms,   etc   ; batteries; case studies; cost effectiveness; energy; fuzzy logic; operating costs;     Show all 7 Subjects
Abstract:
... In this paper an adaptive energy management strategy (EMS) based on fuzzy logic and the optimal sizing for a tramway with a hybrid energy storage system (ESS) combining batteries (BT) and supercapacitors (SC) are presented. The EMS applies a sliding window to estimate the forward energy consumption and adapt the instantaneous power target for BT and SC. The hybrid ESS sizing is obtained by an opti ...
DOI:
10.1016/j.apenergy.2016.02.079

39. Adaptive estimation of the electromotive force of the lithium-ion battery after current interruption for an accurate state-of-charge and capacity determination

Author:
Waag, Wladislaw; Sauer, Dirk Uwe
Source:
Applied energy 2013 v.111 pp. 416-427
ISSN:
0306-2619
Subject:
algorithms,   etc   ; batteries; energy; models; vehicles (equipment);     Show all 5 Subjects
Abstract:
... The online estimation of battery states and parameters is one of the challenging tasks when battery is used as a part of the pure electric or hybrid energy system. For the determination of the available energy stored in the battery, the knowledge of the present state-of-charge (SOC) and capacity of the battery is required. For SOC and capacity determination often the estimation of the battery elec ...
DOI:
10.1016/j.apenergy.2013.05.001

40. Adaptive fuzzy multivariable controller design based on genetic algorithm for an air handling unit

Author:
Khan, Muhammad Waqas; Choudhry, Mohammad Ahmad; Zeeshan, Muhammad; Ali, Ahsan
Source:
Energy 2015 v.81 pp. 477-488
ISSN:
0360-5442
Subject:
algorithms,   etc   ; air; air conditioning; buildings; controllers; energy; fuzzy logic; heat; humidity; methodology; steam; temperature;     Show all 12 Subjects
Abstract:
... In HVAC (Heating, Ventilation and Air Conditioning systems, effective thermal management is required because energy and operation costs of buildings are directly influenced by how well an air-conditioning system performs. HVAC systems are typically nonlinear time varying with disturbances, where conventional PID controllers may trade-off between stability and rise time. To overcome this limitation ...
DOI:
10.1016/j.energy.2014.12.061

41. Adaptive intelligent energy management system of plug-in hybrid electric vehicle

Author:
Khayyam, Hamid; Bab-Hadiashar, Alireza
Source:
Energy 2014 v.69 pp. 319-335
ISSN:
0360-5442
Subject:
algorithms,   etc   ; air conditioning; controllers; data collection; emissions; energy; energy use and consumption; environmental factors; fuzzy logic; vehicles (equipment); wind;     Show all 11 Subjects
Abstract:
... Efficient energy management in hybrid vehicles is the key for reducing fuel consumption and emissions. To capitalize on the benefits of using PHEVs (Plug-in Hybrid Electric Vehicles), an intelligent energy management system is developed and evaluated in this paper. Models of vehicle engine, air conditioning, powertrain, and hybrid electric drive system are first developed. The effect of road param ...
DOI:
10.1016/j.energy.2014.03.020

42. Adaptive Kalman Filter Based on Adjustable Sampling Interval in Burst Detection for Water Distribution System

Author:
Choi, Doo Yong; Kim, Seong-Won; Choi, Min-Ah; Geem, Zong Woo
Source:
Water 2016 v.8 no.4
ISSN:
2073-4441
Subject:
algorithms,   etc   ; data collection; economic costs; energy; monitoring; pipes; prediction; rapid methods; sampling; water distribution; water supply; water utilities; South Korea;     Show all 13 Subjects
Abstract:
... Rapid detection of bursts and leaks in water distribution systems (WDSs) can reduce the social and economic costs incurred through direct loss of water into the ground, additional energy demand for water supply, and service interruptions. Many real-time burst detection models have been developed in accordance with the use of supervisory control and data acquisition (SCADA) systems and the establis ...
DOI:
10.3390/w8040142

43. Adaptive path planning for wire-feed additive manufacturing using medial axis transformation

Author:
Ding, Donghong; Pan, Zengxi; Cuiuri, Dominic; Li, Huijun; Larkin, Nathan
Source:
Journal of cleaner production 2016 v.133 pp. 942-952
ISSN:
0959-6526
Subject:
algorithms,   etc   ; energy; geometry; manufacturing; planning; wastes;     Show all 6 Subjects
Abstract:
... Wire-feed additive manufacturing technologies have made it possible to significantly reduce material waste and energy consumption for fabricating large aerospace metal components that feature high buy-to-fly ratios. This paper presents an innovative path planning strategy using medial axis transformation for the wire-feed additive manufacturing process. The proposed path planning strategy is able ...
DOI:
10.1016/j.jclepro.2016.06.036

44. Adaptive pitch control of wind turbine for load mitigation under structural uncertainties

Author:
Yuan, Yuan; Tang, J.
Source:
Renewable energy 2017 v.105 pp. 483-494
ISSN:
0960-1481
Subject:
algorithms,   etc   ; controllers; energy; renewable energy sources; uncertainty; wind speed; wind turbines;     Show all 7 Subjects
Abstract:
... In this research, a new adaptive control strategy is formulated for the pitch control of wind turbine that may suffer from reduced life owing to extreme loads and fatigue when operated under high wind speed and internal structural uncertainties. Specifically, we aim at making a trade-off between the maximum energy captured and the load induced. The adaptive controller is designed to both regulate ...
DOI:
10.1016/j.renene.2016.12.068

45. Adaptive Pontryagin’s Minimum Principle supervisory controller design for the plug-in hybrid GM Chevrolet Volt

Author:
Onori, Simona; Tribioli, Laura
Source:
Applied energy 2015 v.147 pp. 224-234
ISSN:
0306-2619
Subject:
algorithms,   etc   ; batteries; energy; energy use and consumption; fuels; models; vehicles (equipment);     Show all 7 Subjects
Abstract:
... This paper presents an adaptive supervisory controller, based on Pontryagin’s Minimum Principle (PMP), for on-line energy management optimization of a plug-in hybrid electric vehicle. Using minimum driving information, such as the total trip length and the average cycle speed, the proposed algorithm relies on adaptation of the control parameter from state of charge feedback. The proposed strategy ...
DOI:
10.1016/j.apenergy.2015.01.021

46. Adaptive real-time optimal energy management strategy based on equivalent factors optimization for plug-in hybrid electric vehicle

Author:
Yang, Chao; Du, Siyu; Li, Liang; You, Sixong; Yang, Yiyong; Zhao, Yue
Source:
Applied energy 2017 v.203 pp. 883-896
ISSN:
0306-2619
Subject:
algorithms,   etc   ; air pollution; energy; fuels; vehicles (equipment);     Show all 5 Subjects
Abstract:
... Plug-in hybrid electric vehicle (PHEV) is one of the most promising products to solve the problem about air pollution and energy crisis. Considering the characteristics of urban bus route, maybe a fixed-control-parameter control strategy for PHEV cannot perfectly match the complicated variation of driving conditions, and as a result the ideal vehicle fuel economy would not be obtained. Therefore, ...
DOI:
10.1016/j.apenergy.2017.06.106

47. Adaptive sun tracking algorithm for incident energy maximization and efficiency improvement of PV panels

Author:
Ranganathan, Raghuram; Mikhael, Wasfy; Kutkut, Nasser; Batarseh, Issa
Source:
Renewable energy 2011 v.36 no.10 pp. 2623-2626
ISSN:
0960-1481
Subject:
algorithms,   etc   ; energy; renewable energy sources; solar collectors; solar radiation;     Show all 5 Subjects
Abstract:
... In recent times, sun tracking systems are being increasingly employed to enhance the efficiency of photovoltaic panels by constantly tracking the elevation and azimuth angles of the sun. In this paper, a novel adaptive digital signal processing and control algorithm is presented that optimizes the overall PV system output power by adjusting the position angles of the solar panel on both the elevat ...
DOI:
10.1016/j.renene.2010.06.011

48. A data-driven approach for multi-objective unit commitment under hybrid uncertainties

Author:
Zhou, Min; Wang, Bo; Li, Tiantian; Watada, Junzo
Source:
Energy 2018 v.164 pp. 722-733
ISSN:
0360-5442
Subject:
algorithms,   etc   ; Monte Carlo method; artificial intelligence; energy; nonlinear models; uncertainty; wind power;     Show all 7 Subjects
Abstract:
... Recent years, renewable energy has taken growing penetration in power systems due to the energy shortage and environmental concerns. As a result, system operators encounter increasing difficulties in solving unit commitment optimization. In this paper, a data-driven unit commitment model is proposed to handle the hybrid uncertainties of wind power and future load. First, a non-parameter kernel den ...
DOI:
10.1016/j.energy.2018.09.008

49. A data-driven approach to identify households with plug-in electrical vehicles (PEVs)

Author:
Verma, Anoop; Asadi, Ali; Yang, Kai; Tyagi, Satish
Source:
Applied energy 2015 v.160 pp. 71-79
ISSN:
0306-2619
Subject:
algorithms,   etc   ; consumers (people); data analysis; energy; energy use and consumption; households; vehicles (equipment);     Show all 7 Subjects
Abstract:
... In recent years popularity of plug-in electric (PEV) vehicles has grown significantly. Charging of such vehicles is typically done at home from a standard outlet or at corporate car locations and thus adds extra load on the distribution grid. Due to high power consumption of PEV charging, the utility industries face enormous challenges to provide this extra demand. The identification of charging p ...
DOI:
10.1016/j.apenergy.2015.09.013

50. A data-driven feed-forward decision framework for building clusters operation under uncertainty

Author:
Hu, Mengqi
Source:
Applied energy 2015 v.141 pp. 229-237
ISSN:
0306-2619
Subject:
algorithms,   etc   ; buildings; calibration; carbon dioxide; cost effectiveness; energy; models; uncertainty; United States;     Show all 9 Subjects
Abstract:
... Building plays a significant role for energy consumption and carbon dioxide emission in the United States. Extensive researches are conducted to develop effective operation strategy for the building system. However, less study is to investigate the energy sharing among a cluster of multiple buildings (aka building clusters) under uncertainty. In this research, we propose to develop a data-driven f ...
DOI:
10.1016/j.apenergy.2014.12.047

51. A data-driven machine learning approach to predicting stacking faulting energy in austenitic steels

Author:
Chaudhary, N.; Abu-Odeh, A.; Karaman, I.; Arróyave, R.
Source:
Journal of materials science 2017 v.52 no.18 pp. 11048-11076
ISSN:
0022-2461
Subject:
algorithms,   etc   ; artificial intelligence; chemical composition; energy; plastic deformation; prediction; steel; temperature;     Show all 8 Subjects
Abstract:
... Stacking fault energy (SFE) is an intrinsic material property whose value is crucial in determining different secondary deformation mechanisms in austenitic (face-centered cubic, fcc) steels. Considerable experimental and computational work suggests that the SFE itself is highly dependent—in a complex manner—on chemical composition and temperature. Over the past decades, there have been a large nu ...
DOI:
10.1007/s10853-017-1252-x

52. A data fusion algorithm based on the Kalman filter to estimate leaf area index evolution in durum wheat by using field measurements and MODIS surface reflectance data

Author:
Novelli, Antonio; Tarantino, Eufemia; Fratino, Umberto; Iacobellis, Vito; Romano, Giovanni; Gentile, Francesco
Source:
Remote sensing letters 2016 v.7 no.5 pp. 476-484
ISSN:
2150-7058
Subject:
algorithms,   etc   ; durum wheat; ecosystems; energy; equations; field experimentation; leaf area index; models; moderate resolution imaging spectroradiometer; reflectance; remote sensing; uncertainty; vegetation; Italy;     Show all 14 Subjects
Abstract:
... The use of leaf area index (LAI) is essential in ecosystem and agronomic studies since it measures energy and gas exchanges between vegetation and atmosphere. In the last decades, LAI values have widely been estimated from passive remotely sensed data although estimated results were often affected by noise and measurement uncertainties. In this article, we propose a Kalman filter algorithm in orde ...
DOI:
10.1080/2150704X.2016.1154219

53. A decentralized trading algorithm for an electricity market with generation uncertainty

Author:
Bahrami, Shahab; Amini, M. Hadi
Source:
Applied energy 2018 v.218 pp. 520-532
ISSN:
0306-2619
Subject:
algorithms,   etc   ; electricity; electricity costs; energy; generators (equipment); markets; renewable resources; risk; uncertainty;     Show all 9 Subjects
Abstract:
... The uncertainties in renewable power generators and the proliferation of price-responsive load aggregators make it a challenge for independent system operators (ISOs) to manage the energy trading in the power markets. Hence, a centralized framework for the energy trading market may not be remained practical for the ISOs mainly due to violating the privacy of different entities, i.e., load aggregat ...
DOI:
10.1016/j.apenergy.2018.02.157

54. A decision support model for improving a multi-family housing complex based on CO₂ emission from electricity consumption

Author:
Hong, Taehoon; Koo, Choongwan; Kim, Hyunjoong
Source:
Journal of environmental management 2012 v.112 pp. 67-78
ISSN:
0301-4797
Subject:
algorithms,   etc   ; carbon dioxide; decision support systems; electricity; energy; neural networks; prediction; regression analysis; South Korea;     Show all 9 Subjects
Abstract:
... The number of deteriorated multi-family housing complexes in South Korea continues to rise, and consequently their electricity consumption is also increasing. This needs to be addressed as part of the nation’s efforts to reduce energy consumption. The objective of this research was to develop a decision support model for determining the need to improve multi-family housing complexes. In this resea ...
DOI:
10.1016/j.jenvman.2012.06.046

55. A decision support model for reducing electric energy consumption in elementary school facilities

Author:
Hong, Taehoon; Koo, Choongwan; Jeong, Kwangbok
Source:
Applied energy 2012 v.95 pp. 253-266
ISSN:
0306-2619
Subject:
algorithms,   etc   ; cities; decision support systems; elementary schools; energy; energy conservation; neural networks; prediction; regression analysis; South Korea;     Show all 10 Subjects
Abstract:
... The South Korean government has been actively promoting an educational-facility improvement program as part of its energy-saving efforts. This research seeks to develop a decision support model for selecting the facility expected to be effective in generating energy savings and making the facility improvement program more effective. In this research, project characteristics and electric-energy con ...
DOI:
10.1016/j.apenergy.2012.02.052

56. A decision support tool to enhance agricultural growth in the Mékrou river basin (West Africa)

Author:
Udias, Angel; Pastori, Marco; Dondeynaz, Céline; Carmona Moreno, Cesar; Ali, Abdou; Cattaneo, Luigi; Cano, Javier
Source:
Computers and electronics in agriculture 2018 v.154 pp. 467-481
ISSN:
0168-1699
Subject:
algorithms,   etc   ; basins; computer software; crop production; cropland; decision making; decision support systems; energy; farming systems; fertilizers; food crops; income; irrigation; linear programming; livestock; models; nutrients; primary sector; user interface; watersheds; Benin; Burkina Faso; Niger;     Show all 23 Subjects
Abstract:
... We describe in this paper the implementation of E-Water, an open software Decision Support System (DSS), designed to help local managers assess the Water Energy Food Environment (WEFE) nexus. E-Water aims at providing optimal management solutions to enhance food crop production at river basin level. The DSS was applied in the transboundary Mékrou river basin, shared among Benin, Burkina Faso and N ...
DOI:
10.1016/j.compag.2018.09.037

57. A design methodology for wind farm layout considering cable routing and economic benefit based on genetic algorithm and GeoSteiner

Author:
Wu, Yan; Zhang, Shuai; Wang, Ruiqi; Wang, Yufei; Feng, Xiao
Source:
Renewable energy 2020 v.146 pp. 687-698
ISSN:
0960-1481
Subject:
algorithms,   etc   ; case studies; energy; energy costs; farm size; financial economics; power generation; wind; wind farms; wind power; wind turbines;     Show all 11 Subjects
Abstract:
... Wind farm designing is a crucial stage to realize the application of wind energy. This work studies the problem of wind farm layout optimization (WFLO). A new method based on power production, wind distribution, wake loss is proposed to optimize the layout of wind farm. Genetic algorithm (GA) is utilized to optimize the locations of wind turbine in the wind farm. GeoSteiner algorithm is used to op ...
DOI:
10.1016/j.renene.2019.07.002

58. A diagnostic assessment of evolutionary algorithms for multi-objective surface water reservoir control

Author:
Zatarain Salazar, Jazmin; Reed, Patrick M.; Herman, Jonathan D.; Giuliani, Matteo; Castelletti, Andrea
Source:
Advances in water resources 2016 v.92 pp. 172-185
ISSN:
0309-1708
Subject:
algorithms,   etc   ; climate change; energy; issues and policy; population growth; surface water; water reservoirs; watersheds; Pennsylvania;     Show all 9 Subjects
Abstract:
... Globally, the pressures of expanding populations, climate change, and increased energy demands are motivating significant investments in re-operationalizing existing reservoirs or designing operating policies for new ones. These challenges require an understanding of the tradeoffs that emerge across the complex suite of multi-sector demands in river basin systems. This study benchmarks our current ...
DOI:
10.1016/j.advwatres.2016.04.006

59. A distributed energy management strategy for resilient shipboard power system

Author:
Lai, Kexing; Illindala, Mahesh S.
Source:
Applied energy 2018 v.228 pp. 821-832
ISSN:
0306-2619
Subject:
algorithms,   etc   ; cost effectiveness; energy; multipliers; system optimization;     Show all 5 Subjects
Abstract:
... The shipboard power system of an all-electric ship can be characterized as an isolated microgrid system. To achieve resilient, cost-effective and privacy-preserved operation of the shipboard power system, a novel energy management strategy is proposed in this paper. Currently, a master controller is required for energy management. However, such a centralized energy management strategy suffers from ...
DOI:
10.1016/j.apenergy.2018.06.111

60. A Distributed Parameter Model Predictive Control Method for Forced Air Ventilation through Stored Grain

Author:
Zhou, Huiling; Liu, Jingyun; Jayas, Digvir S.; Wu, Zidan; Zhou, Xiaoguang
Source:
Applied engineering in agriculture 2014 v.30 no.4 pp. 593-600
ISSN:
0883-8542
Subject:
algorithms,   etc   ; air; energy; grain storage facilities; heat; mass transfer; models; stored grain; temperature; water content; whole grain foods;     Show all 11 Subjects
Abstract:
... The grain temperature and moisture are non-uniformly distributed in grain stores. This article proposed a distributed parameter model predictive control (DP-MPC) method for the forced air ventilation process through stored grain. The goal of DP-MPC was to control the grain temperature and moisture and to save energy. The grain bulk was divided into different control units to consider the distribut ...
DOI:
10.13031/aea.30.10574

61. Adsorption of CO on Low-Energy, Low-Symmetry Pt Nanoparticles: Energy Decomposition Analysis and Prediction via Machine-Learning Models

Author:
Gasper, Raymond; Shi, Hongbo; Ramasubramaniam, Ashwin
Source:
The Journal of Physical Chemistry C 2017 v.121 no.10 pp. 5612-5619
ISSN:
1932-7455
Subject:
algorithms,   etc   ; adsorption; artificial intelligence; binding sites; catalysts; energy; models; nanoparticles; prediction;     Show all 9 Subjects
Abstract:
... We present a systematic analysis of CO adsorption on Pt nanoclusters in the 0.2–1.5 nm size range with the aim of unraveling size-dependent trends and developing predictive models for site-specific adsorption behavior. Using an empirical-potential-based genetic algorithm and density functional theory (DFT) modeling, we show that there exists a size window (40–70 atoms) over which Pt nanoclusters b ...
DOI:
10.1021/acs.jpcc.6b12800

62. Advanced control strategy on battery storage system for energy management and bidirectional power control in electrical networks

Author:
Hemmati, Reza; Azizi, Neda
Source:
Energy 2017 v.138 pp. 520-528
ISSN:
0360-5442
Subject:
algorithms,   etc   ; batteries; controllers; energy; stabilizers;     Show all 5 Subjects
Abstract:
... This paper introduces an advanced control strategy on battery energy storage systems (BESS) for bidirectional power control and stability improvement. The proposed control strategy efficiently controls the charging-discharging states of BESS as well as provides bidirectional control on both active and reactive powers. The introduced control scheme is equipped with supplementary stabilizers to damp ...
DOI:
10.1016/j.energy.2017.07.071

63. Advanced three-stage pseudo-inspired weight-improved crazy particle swarm optimization for unit commitment problem

Author:
Shukla, Anup; Singh, S.N.
Source:
Energy 2016 v.96 pp. 23-36
ISSN:
0360-5442
Subject:
algorithms,   etc   ; electricity; energy; operating costs;     Show all 4 Subjects
Abstract:
... This paper proposes an advanced three-stage approach to solve the unit commitment problem. The proposed approach utilizes three different stages to get the optimum solution. In the first stage, a primitive structure of all units is obtained on the basis of predefined priority. In the second stage, a weight-improved crazy particle swarm optimization considering a pseudo-inspired algorithm has been ...
DOI:
10.1016/j.energy.2015.12.046

64. A dynamic model-based estimate of the value of a vanadium redox flow battery for frequency regulation in Texas

Author:
Fares, Robert L.; Meyers, Jeremy P.; Webber, Michael E.
Source:
Applied energy 2014 v.113 pp. 189-198
ISSN:
0306-2619
Subject:
algorithms,   etc   ; batteries; computer software; electric power; electricity; energy; market prices; markets; models; storage technology; system optimization; vanadium; Texas;     Show all 13 Subjects
Abstract:
... Building on past work seeking to value emerging energy storage technologies in grid-based applications, this paper introduces a dynamic model-based framework to value a vanadium redox flow battery (VRFB) participating in Texas’ organized electricity market. Our model describes the dynamic behavior of a VRFB system’s voltage and state of charge based on the instantaneous charging or discharging pow ...
DOI:
10.1016/j.apenergy.2013.07.025

65. A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach

Author:
Lu, Renzhi; Hong, Seung Ho; Zhang, Xiongfeng
Source:
Applied energy 2018 v.220 pp. 220-230
ISSN:
0306-2619
Subject:
algorithms,   etc   ; artificial intelligence; communications technology; consumers (people); decision making; electric power; electrical equipment; electricity; electricity costs; energy; learning; markets; prices; profitability; supply balance; uncertainty;     Show all 16 Subjects
Abstract:
... With the modern advanced information and communication technologies in smart grid systems, demand response (DR) has become an effective method for improving grid reliability and reducing energy costs due to the ability to react quickly to supply-demand mismatches by adjusting flexible loads on the demand side. This paper proposes a dynamic pricing DR algorithm for energy management in a hierarchic ...
DOI:
10.1016/j.apenergy.2018.03.072

66. Aerodynamic performance and wind-induced effect of large-scale wind turbine system under yaw and wind-rain combination action

Author:
Ke, Shitang; Yu, Wenlin; Wang, Tongguang; Ge, Yaojun
Source:
Renewable energy 2019 v.136 pp. 235-253
ISSN:
0960-1481
Subject:
algorithms,   etc   ; energy; finite element analysis; mathematical models; rain; renewable energy sources; turbulent flow; wind; wind turbines;     Show all 9 Subjects
Abstract:
... Blade yaw will change aerodynamic performance of large-scale wind turbine structure, especially under rainstorm conditions. Structural responses and stability of large-scale wind turbine system during rainstorm are more complicated due to the impact force of rainstorm on the structural surface and its influences on the incoming turbulence. In this study, the 5 MW wind turbine tower-blade system wh ...
DOI:
10.1016/j.renene.2018.12.123

67. Aerodynamic shape optimization of non-straight small wind turbine blades

Author:
Shen, Xin; Yang, Hong; Chen, Jinge; Zhu, Xiaocheng; Du, Zhaohui
Source:
Energy conversion and management 2016 v.119 pp. 266-278
ISSN:
0196-8904
Subject:
algorithms,   etc   ; blades; energy; geometry; models; momentum; wind; wind turbines;     Show all 8 Subjects
Abstract:
... Small wind turbines usually operate in sub-optimal wind conditions in order to satisfy the demand where it is needed. The aerodynamic performance of small horizontal axis wind turbines highly depends on the geometry. In the present study, the geometry of wind turbine blades are optimized not only in terms of the distribution of the chord and twist angle but also with 3-dimensional stacking line. A ...
DOI:
10.1016/j.enconman.2016.04.008

68. Aerosol Filtration by Fibrous Filters: A Statistical Mechanics Approach

Author:
Zhong, Wen; Pan, Ning
Source:
Textile research journal 2007 v.77 no.5 pp. 284-289
ISSN:
0040-5175
Subject:
algorithms,   etc   ; Monte Carlo method; aerosols; energy; fabrics; filters; filtration; isotropy; mechanical models; mechanics; statistical models; textile fibers;     Show all 12 Subjects
Abstract:
... A statistical mechanics approach, namely the Ising model combined with Monte Carlo simulation, was employed in studying the process of aerosol filtration through fibrous filters. This process was modeled as consisting of numerous cells' state exchanges driven by the difference of the system energy after and before a particle moved from one cell to the other and/or deposited on a fiber cell. With t ...
DOI:
10.1177/0040517507078041

69. A fast and effective local search algorithm for optimizing the placement of wind turbines

Author:
Wagner, Markus; Day, Jareth; Neumann, Frank
Source:
Renewable energy 2013 v.51 pp. 64-70
ISSN:
0960-1481
Subject:
algorithms,   etc   ; energy; renewable energy sources; system optimization; wind turbines;     Show all 5 Subjects
Abstract:
... The placement of wind turbines on a given area of land such that the wind farm produces a maximum amount of energy is a challenging optimization problem. In this article, we tackle this problem, taking into account wake effects that are produced by the different turbines on the wind farm. We significantly improve upon existing results for the minimization of wake effects by developing a new proble ...
DOI:
10.1016/j.renene.2012.09.008

70. A fault feature characterization based method for remanufacturing process planning optimization

Author:
Wang, Han; Jiang, Zhigang; Zhang, Xugang; Wang, Yanan; Wang, Yan
Source:
Journal of cleaner production 2017 v.161 pp. 708-719
ISSN:
0959-6526
Subject:
algorithms,   etc   ; energy; fault tree analysis; neural networks; planning; raw materials; system optimization; uncertainty;     Show all 8 Subjects
Abstract:
... Remanufacturing process planning plays a key role in implementing remanufacturing because it directly affects the remanufacturing cost as well as energy consumption and quality. Due to the uncertainty of the quality of returned used components, which are the raw materials for remanufacturing, remanufacturing process planning is far more complex than that for mass production of virgin products. In ...
DOI:
10.1016/j.jclepro.2017.05.178

71. A flexible and efficient multi-agent gas turbine power plant energy management system with economic and environmental constraints

Author:
Roche, Robin; Idoumghar, Lhassane; Suryanarayanan, Siddharth; Daggag, Mounir; Solacolu, Christian-Anghel; Miraoui, Abdellatif
Source:
Applied energy 2013 v.101 pp. 644-654
ISSN:
0306-2619
Subject:
algorithms,   etc   ; economic systems; emissions; energy; nitrogen oxides; operating costs; power plants;     Show all 7 Subjects
Abstract:
... Gas turbine power plants have characteristics that make them well-suited for applications where fast dynamics and high outputs are required, for example to accommodate variable load profiles and intermittent energy sources. However, this flexibility comes at a cost: these plants are much more expensive to operate than other types of power plants. This article proposes a new energy management syste ...
DOI:
10.1016/j.apenergy.2012.07.011

72. A Fuzzy Inference System (FIS) and Dimensional Analysis for Predicting Energy Consumption and Mean Residence Time in a Twin‐Screw Extruder

Author:
Kumar, Ajay; Jones, David D.; Meyer, George E.; Hanna, Milford A.
Source:
Journal of food process engineering 2015 v.38 no.2 pp. 125-134
ISSN:
0145-8876
Subject:
algorithms,   etc   ; corn starch; correlation; data collection; dogs; energy; experimental design; extrusion; foods; heat; humans; linear models; polymers; prediction; regression analysis; temperature; torque; water content;     Show all 18 Subjects
Abstract:
... Modeling the extrusion process is complex because of the many confounding variables and the dynamic properties of the materials subjected to heat, shear and pressure. Efforts have been made to predict various system and product properties using a flow‐modeling phenomenological approach. However, because of the many assumptions and the complexities involved, these models become often impractical fo ...
DOI:
10.1111/jfpe.12137

73. A fuzzy logic energy management system for polygeneration microgrids

Author:
Kyriakarakos, George; Dounis, Anastasios I.; Arvanitis, Konstantinos G.; Papadakis, George
Source:
Renewable energy 2012 v.41 pp. 315-327
ISSN:
0960-1481
Subject:
algorithms,   etc   ; batteries; desalination; drinking water; electricity; energy; energy recovery; fuel cells; fuels; fuzzy logic; hydrides; hydrogen; renewable energy sources; reverse osmosis; transportation; wind turbines;     Show all 16 Subjects
Abstract:
... This paper presents the design and testing through simulation of a Fuzzy Logic Energy Management System (FLEMS) for an autonomous polygeneration microgrid. In this microgrid the energy is produced by photovoltaics and a wind turbine and the rest of the components include a battery bank, a Proton Exhange Membrane (PEM) fuel cell, a PEM electrolyzer, a metal hydride tank and a reverse osmosis desali ...
DOI:
10.1016/j.renene.2011.11.019

74. A game-theoretic economic operation of residential distribution system with high participation of distributed electricity prosumers

Author:
Zhang, Ni; Yan, Yu; Su, Wencong
Source:
Applied energy 2015 v.154 pp. 471-479
ISSN:
0306-2619
Subject:
algorithms,   etc   ; case studies; electricity; energy; infrastructure; market prices; markets; renewable energy sources;     Show all 8 Subjects
Abstract:
... This paper proposes a game-theoretic framework for economic operations of future residential distribution systems with high participation of distributed electricity prosumers. Recently, the large-scale grid integration of distributed renewable energy is becoming a promising solution to restructuring the current power grid infrastructure and ensuring the reliability of energy supply. The wide adopt ...
DOI:
10.1016/j.apenergy.2015.05.011

75. AGC of PV-thermal and hydro-thermal power systems using CES and a new multi-stage FPIDF-(1+PI) controller

Author:
Arya, Yogendra
Source:
Renewable energy 2019 v.134 pp. 796-806
ISSN:
0960-1481
Subject:
algorithms,   etc   ; control methods; electric power; energy; linear models; renewable energy sources;     Show all 6 Subjects
Abstract:
... The interconnected power system with renewable energy sources is an intricate nonlinear system, which frequently brings to light the serious problem of the system frequency and tie-line power fluctuations due to deficient damping under severe and dynamically changing loading conditions. Primarily, the power system generation-demand equilibrium point amendments following a contingency and in this c ...
DOI:
10.1016/j.renene.2018.11.071

76. AGC performance enrichment of multi-source hydrothermal gas power systems using new optimized FOFPID controller and redox flow batteries

Author:
Arya, Yogendra
Source:
Energy 2017 v.127 pp. 704-715
ISSN:
0360-5442
Subject:
algorithms,   etc   ; batteries; controllers; energy;     Show all 4 Subjects
Abstract:
... Redox flow batteries (RFB) showcase extremely long charge-discharge life cycle and outstanding quick response to alleviate the oscillations under sudden disturbances in power system. The assimilation of energy storage units in power system can curtail the oscillations energetically by contributing fast active power compensation. Hence, in this paper, RFB are tried to integrate into multi-source po ...
DOI:
10.1016/j.energy.2017.03.129

77. A general model for energy hub economic dispatch

Author:
Beigvand, Soheil Derafshi; Abdi, Hamdi; La Scala, Massimo
Source:
Applied energy 2017 v.190 pp. 1090-1111
ISSN:
0306-2619
Subject:
algorithms,   etc   ; air; economic dispatch; electricity; energy; energy costs; heat; models;     Show all 8 Subjects
Abstract:
... This paper proposes a new optimization algorithm, namely Self-Adoptive Learning with Time Varying Acceleration Coefficient-Gravitational Search Algorithm (SAL-TVAC-GSA), to solve highly nonlinear, non-convex, non-smooth, non-differential, and high-dimension single- and multi-objective Energy Hub Economic Dispatch (EHED) problems. The presented algorithm is based on GSA considering three fundamenta ...
DOI:
10.1016/j.apenergy.2016.12.126

78. A genetic algorithm for minimizing energy consumption in warehouses

Author:
Ene, Seval; Küçükoğlu, İlker; Aksoy, Aslı; Öztürk, Nursel
Source:
Energy 2016 v.114 pp. 973-980
ISSN:
0360-5442
Subject:
algorithms,   etc   ; energy; environmental impact; issues and policy; manufacturing; supply chain; warehouses;     Show all 7 Subjects
Abstract:
... Green supply chain management is generally defined as integration of green thinking and environmental issues into the whole supply chain operations like product design, manufacturing process, warehousing, distribution etc. Within this context green principles should be adopted in warehouse management to minimize negative impact on the environment. In warehouse operations, picking must be analyzed ...
DOI:
10.1016/j.energy.2016.08.045

79. A genetic optimization of a hybrid organic Rankine plant for solar and low-grade energy sources

Author:
Scardigno, Domenico; Fanelli, Emanuele; Viggiano, Annarita; Braccio, Giacobbe; Magi, Vinicio
Source:
Energy 2015 v.91 pp. 807-815
ISSN:
0360-5442
Subject:
algorithms,   etc   ; energy; energy costs; evaporation; heat exchangers; mass flow; temperature profiles;     Show all 7 Subjects
Abstract:
... This paper provides a multi-objective optimization of a hybrid organic Rankine plant for solar and low-grade energy sources. In this plant, water, with a mass flow rate of 1 kg/s at a temperature of 90 °C, preheats the working fluid. The objective of this work is to search for solutions with the highest first and second law efficiencies of the plant and the lowest LEC (levelized energy cost). The ...
DOI:
10.1016/j.energy.2015.08.066

80. A Geographical-Based Multi-Criteria Approach for Marine Energy Farm Planning

Author:
Maslov, Nicolas; Brosset, David; Claramunt, Christophe; Charpentier, Jean-Frédéric
Source:
ISPRS international journal of geo-information 2014 v.3 no.2 pp. 781-799
ISSN:
2220-9964
Subject:
algorithms,   etc   ; anthropogenic activities; case studies; energy; energy costs; farm planning; farms; geographic information systems; tides; water power; France;     Show all 11 Subjects
Abstract:
... The objective of this paper is to devise a strategy for developing a flexible tool to efficiently install a marine energy farm in a suitable area. The current methodology is applied to marine tidal current, although it can be extended to other energy contexts with some adaptations. We introduce a three-step approach that searches for marine farm sites and technological solutions. The methodology a ...
DOI:
10.3390/ijgi3020781

81. A GIS (geographical information system)-based spatial data mining approach for optimal location and capacity planning of distributed biomass power generation facilities: A case study of Tumkur district, India

Author:
Kaundinya, Deepak Paramashivan; Balachandra, P.; Ravindranath, N.H.; Ashok, Veilumuthu
Source:
Energy 2013 v.52 pp. 77-88
ISSN:
0360-5442
Subject:
algorithms,   etc   ; biomass; case studies; electricity; energy; geographic information systems; power generation; rural areas; rural planning; spatial data; supply balance; transportation; villages; India;     Show all 14 Subjects
Abstract:
... This paper primarily intends to develop a GIS (geographical information system)-based data mining approach for optimally selecting the locations and determining installed capacities for setting up distributed biomass power generation systems in the context of decentralized energy planning for rural regions. The optimal locations within a cluster of villages are obtained by matching the installed c ...
DOI:
10.1016/j.energy.2013.02.011

82. A global optimized operation strategy for energy savings in liquid desiccant air conditioning using self-adaptive differential evolutionary algorithm

Author:
Wang, Xinli; Cai, Wenjian; Yin, Xiaohong
Source:
Applied energy 2017 v.187 pp. 410-423
ISSN:
0306-2619
Subject:
algorithms,   etc   ; air conditioning; air quality; desiccants; energy; energy conservation; heat exchangers; heat transfer; liquids; models; pumps; system optimization;     Show all 12 Subjects
Abstract:
... This study proposes a global optimized operation strategy to reduce energy consumption of a liquid desiccant air conditioning (LDAC) driven by chiller and electric heater. Energy models of chiller, electric heater, pumps and fans are developed to predict their energy consumptions under different operating conditions with different control settings. Heat transfer models of cooling heat exchanger, h ...
DOI:
10.1016/j.apenergy.2016.11.073

83. A GPU deep learning metaheuristic based model for time series forecasting

Author:
Coelho, Igor M.; Coelho, Vitor N.; Luz, Eduardo J. da S.; Ochi, Luiz S.; Guimarães, Frederico G.; Rios, Eyder
Source:
Applied energy 2017 v.201 pp. 412-418
ISSN:
0306-2619
Subject:
algorithms,   etc   ; cities; electricity; energy; learning; models; time series analysis; Maldives;     Show all 8 Subjects
Abstract:
... As the new generation of smart sensors is evolving towards high sampling acquisitions systems, the amount of information to be handled by learning algorithms has been increasing. The Graphics Processing Unit (GPU) architecture provides a greener alternative with low energy consumption for mining big data, bringing the power of thousands of processing cores into a single chip, thus opening a wide r ...
DOI:
10.1016/j.apenergy.2017.01.003

84. A green scheduling algorithm for flexible job shop with energy-saving measures

Author:
Wu, Xiuli; Sun, Yangjun
Source:
Journal of cleaner production 2018 v.172 pp. 3249-3264
ISSN:
0959-6526
Subject:
algorithms,   etc   ; energy; energy conservation; equipment; models;     Show all 5 Subjects
Abstract:
... We study how to save energy from the viewpoint of operation management. When to turn-on/off machines and which speed level to choose are two measures we employ to save energy. We focus on the flexible job shop scheduling problem. To begin with, a model is formulated for the flexible job shop scheduling problem when the two energy-saving measures are under consideration. An energy consumption model ...
DOI:
10.1016/j.jclepro.2017.10.342

85. A high-definition spatially explicit modelling approach for national greenhouse gas emissions from industrial processes: reducing the errors and uncertainties in global emission modelling

Author:
Charkovska, Nadiia; Halushchak, Mariia; Bun, Rostyslav; Nahorski, Zbigniew; Oda, Tomohiro; Jonas, Matthias; Topylko, Petro
Source:
Mitigation and adaptation strategies for global change 2019 v.24 no.6 pp. 907-939
ISSN:
1381-2386
Subject:
algorithms,   etc   ; cadasters; chemical industry; climate; databases; energy; fuel combustion; geographical coordinates; global change; greenhouse gas emissions; greenhouse gases; humans; inventories; issues and policy; land cover; manufacturing; models; quantitative analysis; spatial data; uncertainty; uncertainty analysis; Poland;     Show all 22 Subjects
Abstract:
... Industrial processes cause significant emissions of greenhouse gases (GHGs) to the atmosphere and, therefore, have high mitigation and adaptation potential for global change. Spatially explicit (gridded) emission inventories (EIs) should allow us to analyse sectoral emission patterns to estimate the potential impacts of emission policies and support decisions on reducing emissions. However, such E ...
DOI:
10.1007/s11027-018-9836-6

86. A high-resolution hydro power time-series model for energy systems analysis: Validated with Chinese hydro reservoirs

Author:
Liu, Hailiang; Andresen, Gorm Bruun; Brown, Tom; Greiner, Martin
Source:
MethodsX 2019 v.6 pp. 1370-1378
ISSN:
2215-0161
Subject:
algorithms,   etc   ; basins; data collection; energy; hydroelectric power; investment planning; models; power generation; runoff; solar energy; sustainable technology; systems analysis; time series analysis; wind; wind power;     Show all 15 Subjects
Abstract:
... We expand the renewable technology model palette and present a validated high resolution hydro power time series model for energy systems analysis. Among the weather-based renewables, hydroelectricity shows unique storage-like flexibility, which is particularly important given the high variability of wind and solar power. Often limited by data availability or computational performance, a high reso ...
DOI:
10.1016/j.mex.2019.05.024

87. A holarchic approach for multi-scale distributed energy system optimisation

Author:
Marquant, Julien F.; Evins, Ralph; Bollinger, L. Andrew; Carmeliet, Jan
Source:
Applied energy 2017 v.208 pp. 935-953
ISSN:
0306-2619
Subject:
algorithms,   etc   ; energy; linear programming; models;     Show all 4 Subjects
Abstract:
... The benefits of decentralised energy systems can be realised through the optimal siting of distributed energy systems and the design of highly interlinked district heating networks within existing electrical and gas networks. The problem is often formulated as a Mixed Integer Linear Programming (MILP) problem. MILP formulations are efficient and reliable, however the computational burden increases ...
DOI:
10.1016/j.apenergy.2017.09.057

88. A hybrid algorithm based optimization on modeling of grid independent biodiesel-based hybrid solar/wind systems

Author:
Guangqian, Du; Bekhrad, Kaveh; Azarikhah, Pouria; Maleki, Akbar
Source:
Renewable energy 2018 v.122 pp. 551-560
ISSN:
0960-1481
Subject:
algorithms,   etc   ; annealing; batteries; biodiesel; energy; energy use and consumption; life cycle costing; models; system optimization; wind; wind power; wind turbines; Iran;     Show all 13 Subjects
Abstract:
... The main contribution of this research is formulating the size optimization of grid-independent hybrid wind/photovoltaic/biodiesel/battery systems and proposing a hybrid algorithm on this optimization problem. There are many investigations based on hybrid wind and PV power systems but the investigation on the hybrid wind/photovoltaic/biodiesel/battery system is rarely found. Here, the optimal desi ...
DOI:
10.1016/j.renene.2018.02.021

89. A hybrid BAG-SA optimal approach to estimate energy demand of China

Author:
Wu, Qunli; Peng, Chenyang
Source:
Energy 2017 v.120 pp. 985-995
ISSN:
0360-5442
Subject:
algorithms,   etc   ; energy; equations; models; system optimization; China;     Show all 6 Subjects
Abstract:
... To improve projection efficiency of future energy demand, this paper proposes a hybrid optimization method, which is Bat Algorithm, Gaussian Perturbations and Simulated Annealing Energy Demand Estimation (BAG-SA EDE) model. The proposed BAG-SA algorithm not only inherits the simplicity and efficiency of the standard BA with a capability of searching for global optimality, but also enhances local s ...
DOI:
10.1016/j.energy.2016.12.002

90. A hybrid computational approach for detailed scheduling of products in a pipeline with multiple pump stations

Author:
Zhang, Haoran; Liang, Yongtu; Liao, Qi; Wu, Mengyu; Yan, Xiaohan
Source:
Energy 2017 v.119 pp. 612-628
ISSN:
0360-5442
Subject:
algorithms,   etc   ; electricity costs; energy; models; pipelines; supply chain; system optimization; transportation;     Show all 8 Subjects
Abstract:
... Multi-product pipeline is the most effective mode for refined products transportation and is of vital importance in the energy supply chain. The essential task in actual pipeline operation is scheduling delivery and injection of numerous kinds of products. Despite much research was done on products pipeline scheduling issue, little of them focused on multiple pump stations which are significant fo ...
DOI:
10.1016/j.energy.2016.11.027

91. A hybrid DEM-SPH model for deformable landslide and its generated surge waves

Author:
Tan, Hai; Chen, Shenghong
Source:
Advances in water resources 2017 v.108 pp. 256-276
ISSN:
0309-1708
Subject:
algorithms,   etc   ; energy; friction; hydraulic structures; hydrodynamics; landslides; models; water resources;     Show all 8 Subjects
Abstract:
... Reservoir bank landslide and its generated surge waves are catastrophic hazards which may give rise to additional sedimentation, destroy hydraulic structures, and even cause fatalities. Since this process is very complex involving landslide impact, wave generation and propagation, it cannot be well captured with traditional numerical approaches. In this paper, a hybrid DEM-SPH model is presented t ...
DOI:
10.1016/j.advwatres.2017.07.023

92. A hybrid energy management and battery size optimization for standalone microgrids: A case study for Flinders Island, Australia

Author:
El-Bidairi, Kutaiba S.; Duc Nguyen, Hung; Jayasinghe, S.D.G.; Mahmoud, Thair S.; Penesis, Irene
Source:
Energy conversion and management 2018 v.175 pp. 192-212
ISSN:
0196-8904
Subject:
algorithms,   etc   ; batteries; carbon dioxide; case studies; climate; electricity; energy; fossil fuels; fuzzy logic; greenhouse gas emissions; renewable energy sources; weather; wolves; Australia;     Show all 14 Subjects
Abstract:
... Microgrids are increasingly being used as a platform to integrate distributed generation such as renewable energy sources and (RESs) conventional sources in both grid-connected and isolated power systems. Due to the inherent intermittent nature of RESs, energy storage systems (ESSs) that can absorb fluctuations have become inevitable. Nevertheless, large capacities of ESSs increase the initial cos ...
DOI:
10.1016/j.enconman.2018.08.076

93. A hybrid forecasting model with parameter optimization for short-term load forecasting of micro-grids

Author:
Liu, Nian; Tang, Qingfeng; Zhang, Jianhua; Fan, Wei; Liu, Jie
Source:
Applied energy 2014 v.129 pp. 336-345
ISSN:
0306-2619
Subject:
algorithms,   etc   ; energy; time series analysis; weather research and forecasting model;     Show all 4 Subjects
Abstract:
... Short-term load forecasting is an important part in the energy management of micro-grid. The forecasting errors directly affect the economic efficiency of operation. Compared to larger-scale power grid, micro-grid is more difficult to realize the short-term load forecasting for its smaller capacity and higher randomness. A hybrid load forecasting model with parameter optimization is proposed for s ...
DOI:
10.1016/j.apenergy.2014.05.023

94. A hybrid harmony search algorithm with differential evolution for day-ahead scheduling problem of a microgrid with consideration of power flow constraints

Author:
Zhang, Jingrui; Wu, Yihong; Guo, Yiran; Wang, Bo; Wang, Hengyue; Liu, Houde
Source:
Applied energy 2016 v.183 pp. 791-804
ISSN:
0306-2619
Subject:
algorithms,   etc   ; batteries; energy; generators (equipment); models; mutation; photovoltaic cells; solar collectors; system optimization; wind turbines;     Show all 10 Subjects
Abstract:
... With constructions of demonstrative microgrids, the realistic optimal economic dispatch and energy management system are required eagerly. However, most current works usually give some simplifications on the modeling of microgrids. This paper presents an optimal day-ahead scheduling model for a microgrid system with photovoltaic cells, wind turbine units, diesel generators and battery storage syst ...
DOI:
10.1016/j.apenergy.2016.09.035

95. A hybrid measure-correlate-predict method for long-term wind condition assessment

Author:
Zhang, Jie; Chowdhury, Souma; Messac, Achille; Hodge, Bri-Mathias
Source:
Energy conversion and management 2014 v.87 pp. 697-710
ISSN:
0196-8904
Subject:
algorithms,   etc   ; Weibull statistics; energy; neural networks; prediction; regression analysis; variance; wind direction; wind farms; wind speed; Minnesota;     Show all 11 Subjects
Abstract:
... This paper develops a hybrid measure-correlate-predict (MCP) strategy to assess long-term wind resource variations at a farm site. The hybrid MCP method uses recorded data from multiple reference stations to estimate long-term wind conditions at a target wind plant site with greater accuracy than is possible with data from a single reference station. The weight of each reference station in the hyb ...
DOI:
10.1016/j.enconman.2014.07.057

96. A hybrid method based on neural network and improved environmental adaptation method using Controlled Gaussian Mutation with real parameter for short-term load forecasting

Author:
Singh, Priyanka; Dwivedi, Pragya; Kant, Vibhor
Source:
Energy 2019 v.174 pp. 460-477
ISSN:
0360-5442
Subject:
algorithms,   etc   ; energy; markets; mutation; neural networks; planning; New England region; New South Wales;     Show all 8 Subjects
Abstract:
... Load forecasting is a challenging task in power markets that require attention in generating accurate and stable load to deal with planning and management strategies. In past few years, several intelligence-based models have been introduced for precise load forecast. Among them, artificial neural network (ANN) seems more effective and capable to handle the non-linear behavior of load and generates ...
DOI:
10.1016/j.energy.2019.02.141

97. A hybrid method for simultaneous optimization of DG capacity and operational strategy in microgrids considering uncertainty in electricity price forecasting

Author:
Moradi, Mohammad H.; Eskandari, Mohsen
Source:
Renewable energy 2014 v.68 pp. 697-714
ISSN:
0960-1481
Subject:
algorithms,   etc   ; credit; economic indicators; electric power; electricity; electricity costs; energy; income; mathematical theory; operating costs; pollution; prices; quadratic programming; renewable energy sources; sales; uncertainty;     Show all 16 Subjects
Abstract:
... Recently, microgrids have attracted considerable attention as a high-quality and reliable source of electricity. In this work energy management in microgrids is addressed in light of economic and environmental restrictions through (a) development of an operational strategy for energy management in microgrids and (b) determination of type and capacity of distributed generation (DG) sources as well ...
DOI:
10.1016/j.renene.2014.03.001

98. A hybrid method for synthesis of integrated water and regeneration networks with variable removal ratios

Author:
Mabitla, Sebatane Sharon; Majozi, Thokozani
Source:
Journal of environmental management 2019 v.231 pp. 666-678
ISSN:
0301-4797
Subject:
algorithms,   etc   ; energy; freshwater; mathematical models; reverse osmosis; wastewater;     Show all 6 Subjects
Abstract:
... This work presents a systematic optimization framework that integrates graphical insights with mathematical modelling to reduce both model complexity and computational time. The graphical technique adopted in this work is Composite Table Algorithm (CTA), which is improved to determine an optimal regenerator removal ratio (RR) that simultaneously minimizes the freshwater requirement and wastewater ...
DOI:
10.1016/j.jenvman.2018.08.076

99. A hybrid model for the optimum integration of renewable technologies in power generation systems

Author:
Poullikkas, Andreas; Kourtis, George; Hadjipaschalis, Ioannis
Source:
Energy policy 2011 v.39 no.2 pp. 926-935
ISSN:
0301-4215
Subject:
algorithms,   etc   ; European Union; carbon dioxide; electricity; emissions; energy; fuels; funding; models; operating costs; power generation; prices; renewable energy sources;     Show all 13 Subjects
Abstract:
... The main purpose of this work is to assess the unavoidable increase in the cost of electricity of a generation system by the integration of the necessary renewable energy sources for power generation (RES-E) technologies in order for the European Union Member States to achieve their national RES energy target. The optimization model developed uses a genetic algorithm (GA) technique for the calcula ...
DOI:
10.1016/j.enpol.2010.11.018

100. A Hybrid Multi-Step Rolling Forecasting Model Based on SSA and Simulated Annealing—Adaptive Particle Swarm Optimization for Wind Speed

Author:
Du, Pei; Jin, Yu; Zhang, Kequan
Source:
Sustainability 2016 v.8 no.8
ISSN:
2071-1050
Subject:
algorithms,   etc   ; case studies; energy; models; prediction; rolling; wind farms; wind power; wind speed; China;     Show all 10 Subjects
Abstract:
... With the limitations of conventional energy becoming increasing distinct, wind energy is emerging as a promising renewable energy source that plays a critical role in the modern electric and economic fields. However, how to select optimization algorithms to forecast wind speed series and improve prediction performance is still a highly challenging problem. Traditional single algorithms are widely ...
DOI:
10.3390/su8080754