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1. 3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D

Author:
Kevin Mayer; Benjamin Rausch; Marie-Louise Arlt; Gunther Gust; Zhecheng Wang; Dirk Neumann; Ram Rajagopal
Source:
Applied energy 2022 v.310 pp. 118469
ISSN:
0306-2619
Subject:
automation; data collection; energy; image analysis; solar collectors; spatial data
Abstract:
... While photovoltaic (PV) systems are being installed at an unprecedented rate, it is challenging to keep track of them due to their decentralized character and large number. In this paper, we present the 3D-PV-Locator for large-scale detection of roof-mounted PV systems in three dimensions (3D). The 3D-PV-Locator combines information extracted from aerial images and 3D building data by means of dee ...
DOI:
10.1016/j.apenergy.2021.118469

2. A Comprehensive and Modular Set of Appliance Operation MILP Models for Demand Response Optimization

Author:
Carlos Henggeler Antunes; Maria João Alves; Inês Soares
Source:
Applied energy 2022 pp. 119142
ISSN:
0306-2619
Subject:
batteries; case studies; electric vehicles; electricity; energy; management systems; power generation; renewable energy sources; tariffs; wholesale marketing
Abstract:
... Demand response programs are essential to enable accommodating larger shares of variable power generation based on renewable sources, the deployment of which is imperative for decarbonizing the economy and mitigating global warming. Consumers/prosumers are increasingly exposed to and may benefit from time-differentiated energy prices aimed to induce changes in regular consumption patterns. These c ...
DOI:
10.1016/j.apenergy.2022.119142

3. A Stackelberg game approach for energy sharing management of a microgrid providing flexibility to entities

Author:
Özge Erol; Ümmühan Başaran Filik
Source:
Applied energy 2022 v.316 pp. 118944
ISSN:
0306-2619
Subject:
decision making; electric vehicles; energy; game theory; wind turbines
Abstract:
... This paper focuses on the energy sharing management of a microgrid including photovoltaic - wind turbine prosumers with energy storage systems, and plug-in electric vehicle charging stations. Motivated by a single-leader multi-follower Stackelberg game approach, the microgrid operator (MGO) is taken as a leader, and prosumers and charging stations act as followers. In similar approaches, buyer and ...
DOI:
10.1016/j.apenergy.2022.118944

4. A carbon flow tracing and carbon accounting method for exploring CO2 emissions of the iron and steel industry: An integrated material–energy–carbon hub

Author:
Hanxin Zhang; Wenqiang Sun; Weidong Li; Guangyu Ma
Source:
Applied energy 2022 v.309 pp. 118485
ISSN:
0306-2619
Subject:
carbon; carbon dioxide; case studies; energy flow; industry; iron; pulverized coal; steel
Abstract:
... In the context of carbon neutrality, accurate carbon accounting is urgently needed for energy-intensive industries, such as the iron and steel industry. However, methods based on black-box models are rather rough and the impact of changes in a certain material and energy flow on the carbon flows of the complex production process is unclear, making it impossible to find carbon emission reduction po ...
DOI:
10.1016/j.apenergy.2021.118485

5. A combined deep learning load forecasting model of single household resident user considering multi-time scale electricity consumption behavior

Author:
Wangwang Yang; Jing Shi; Shujian Li; Zhaofang Song; Zitong Zhang; Zexu Chen
Source:
Applied energy 2022 v.307 pp. 118197
ISSN:
0306-2619
Subject:
electric energy consumption; energy; neural networks; pecans; principal component analysis; weather
Abstract:
... With the growth of residential load and the popularity of intelligent devices, resident users have become important target customers for demand response (DR). However, due to the strong volatility of individual household load and the large difference in user’s behavior, the accuracy of residential load forecasting is generally low and the forecasting effect is unstable, which is not conductive to ...
DOI:
10.1016/j.apenergy.2021.118197

6. A compositive architecture coupling outlier correction, EWT, nonlinear Volterra multi-model fusion with multi-objective optimization for short-term wind speed forecasting

Author:
Ping Fang; Wenlong Fu; Kai Wang; Dongzhen Xiong; Kai Zhang
Source:
Applied energy 2022 v.307 pp. 118191
ISSN:
0306-2619
Subject:
algorithms; data collection; energy; models; mutation; prediction; standard deviation; wavelet; wind power; wind speed
Abstract:
... Short-term wind speed forecasting with high accuracy puts forward a positive influence on implementation of power system dispatch and wind energy utilization. Accordingly, to further promote the prediction accuracy and maintain the prediction stability, an innovation compositive architecture is developed incorporating three modules: data preprocessing, several individual predictors and Volterra mu ...
DOI:
10.1016/j.apenergy.2021.118191

7. A data-driven knowledge-based system with reasoning under uncertain evidence for regional long-term hourly load forecasting

Author:
M. Rostam Niakan Kalhori; I. Taheri Emami; F. Fallahi; M. Tabarzadi
Source:
Applied energy 2022 v.314 pp. 118975
ISSN:
0306-2619
Subject:
data collection; decision making; electricity; energy; fuzzy logic; markets; temperature; Iran; New England region
Abstract:
... Reliable long-term hourly load forecasting is imperative for electricity utilities and planners' decision-making, especially in generation-transmission expansion planning. This paper develops a data-driven knowledge-based system for regional hourly load forecasting in the long-term horizon with contributions in both knowledge base and inference engine. In this regard, in the knowledge base, two ty ...
DOI:
10.1016/j.apenergy.2022.118975

8. A data-driven method of traffic emissions mapping with land use random forest models

Author:
Yifan Wen; Ruoxi Wu; Zihang Zhou; Shaojun Zhang; Shengge Yang; Timothy J. Wallington; Wei Shen; Qinwen Tan; Ye Deng; Ye Wu
Source:
Applied energy 2022 v.305 pp. 117916
ISSN:
0306-2619
Subject:
air; carbon dioxide; carbon footprint; energy; land use; models; particulate emissions; population density; roads; spatial variation; traffic; China
Abstract:
... The development of intelligent approaches to quantify and mitigate on-road emissions is essential for urban and transportation sustainability for global megacities. Here, we utilize high-density traffic monitoring data and land use data to train random forest models capable of accurately predicting dynamic, link-level vehicle emissions. A total of 272 predicting indicators, including road features ...
DOI:
10.1016/j.apenergy.2021.117916

9. A digital business model for accelerating distributed renewable energy expansion in rural China

Author:
Bo Hu; P. Zhou; L.P. Zhang
Source:
Applied energy 2022 v.316 pp. 119084
ISSN:
0306-2619
Subject:
aquaculture; econometric models; economic development; energy; fisheries; income; issues and policy; markets; power generation; rural economics; solar energy; solar farms; China
Abstract:
... A business model that combines solar photovoltaic and fishery plays a role to expand distributed renewable energy and improve rural economy development. However, the business model of solar photovoltaic fishery is encountering growing difficulties with revenues decreasing due to changes of policy such as withdrawal of photovoltaic subsidies and land control. The spreading of digitization in photov ...
DOI:
10.1016/j.apenergy.2022.119084

10. A distributed real-time power management scheme for shipboard zonal multi-microgrid system

Author:
Peilin Xie; Sen Tan; Najmeh Bazmohammadi; Josep. M. Guerrero; Juan. C. Vasquez; Jose Matas Alcala; Jorge El Mariachet Carreño
Source:
Applied energy 2022 v.317 pp. 119072
ISSN:
0306-2619
Subject:
energy; energy use and consumption; sea transportation
Abstract:
... The increasing demands of reducing fuel consumption for marine transportation have motivated the use of high fuel efficiency power plants and the development of power management systems (PMS). Current studies on shipboard PMS are mostly categorized as centralized, which are easy to be implemented and able to converge to the global optimum solutions. However, centralized techniques may suffer from ...
DOI:
10.1016/j.apenergy.2022.119072

11. A dynamic performance diagnostic method applied to hydrogen powered aero engines operating under transient conditions

Author:
Yu-Zhi Chen; Elias Tsoutsanis; Heng-Chao Xiang; Yi-Guang Li; Jun-Jie Zhao
Source:
Applied energy 2022 v.317 pp. 119148
ISSN:
0306-2619
Subject:
aircraft; diagnostic techniques; economic impact; energy; energy costs; heat; hydrogen; income; prediction
Abstract:
... At present, aero engine fault diagnosis is mainly based on the steady-state condition at the cruise phase, and the gas path parameters in the entire flight process are not effectively used. At the same time, high quality steady-state monitoring measurements are not always available and as a result the accuracy of diagnosis might be affected. There is a recognized need for real-time performance dia ...
DOI:
10.1016/j.apenergy.2022.119148

12. A hierarchical object oriented Bayesian network-based fault diagnosis method for building energy systems

Author:
Tingting Li; Yangze Zhou; Yang Zhao; Chaobo Zhang; Xuejun Zhang
Source:
Applied energy 2022 v.306 pp. 118088
ISSN:
0306-2619
Subject:
Bayesian theory; algorithms; energy
Abstract:
... Bayesian network is a powerful algorithm to diagnose the faults in building energy systems based on incomplete and uncertain diagnostic information. In practice, it is very challenging to construct Bayesian networks for large-scale and complex systems. Inspired by the object oriented programming technology, a hierarchical object oriented Bayesian network-based method is proposed in this study. Its ...
DOI:
10.1016/j.apenergy.2021.118088

13. A market feedback framework for improved estimates of the arbitrage value of energy storage using price-taker models

Author:
Michael Ikechi Emmanuel; Paul Denholm
Source:
Applied energy 2022 v.310 pp. 118250
ISSN:
0306-2619
Subject:
economic valuation; electricity costs; energy; income; markets; simulation models; California
Abstract:
... Price-taker (PT) models are often used to assess the potential value or revenue of energy arbitrage opportunities for energy storage in wholesale markets. But as greater amounts of energy storage are deployed on the grid, current PT models fail to predict the effects that energy storage itself can have on market prices. This can lead to an overestimation of the economic value of storage and an ina ...
DOI:
10.1016/j.apenergy.2021.118250

14. A mosquito-inspired self-adaptive energy harvester for multi-directional vibrations

Author:
Minglei Han; Xu Yang; Dong F. Wang; Lei Jiang; Wei Song; Takahito Ono
Source:
Applied energy 2022 v.315 pp. 119040
ISSN:
0306-2619
Subject:
Culicidae; electric potential difference; prototypes; vibration
Abstract:
... In this paper, a new concept of direction self-adaptive energy harvesting is put forward for multi-directional vibrations, and a novel direction self-adaptive piezoelectric energy harvester (DSPEH) is explored by introducing a self-adaptive rotation mechanism into the cantilever beam inspired by mosquito wings to validate the new concept. Different from the conventional piezoelectric energy harves ...
DOI:
10.1016/j.apenergy.2022.119040

15. A multi-objective framework for distributed energy resources planning and storage management

Author:
Bahman Ahmadi; Oguzhan Ceylan; Aydogan Ozdemir; Mahmoud Fotuhi-Firuzabad
Source:
Applied energy 2022 v.314 pp. 118887
ISSN:
0306-2619
Subject:
algorithms; energy; system optimization
Abstract:
... The use of energy storage systems (ESS) and distributed generators (DGs) to improve reliability is one of the solutions that has received much attention from researchers today. In this study, we utilize a multi-objective optimization method for optimal planning of distributed generators in electric distribution networks from the perspective of multi-objective optimization. The objective is to impr ...
DOI:
10.1016/j.apenergy.2022.118887

16. A multivariate statistical input–output model for analyzing water-carbon nexus system from multiple perspectives - Jing-Jin-Ji region

Author:
P.P. Wang; Y.P. Li; G.H. Huang; S.G. Wang
Source:
Applied energy 2022 v.310 pp. 118560
ISSN:
0306-2619
Subject:
carbon dioxide; electricity; energy; fabrics; heat; input output analysis; issues and policy; models; multivariate analysis; supply chain; trade; water shortages; China
Abstract:
... Water scarcity and carbon dioxide (CO₂) emission continue to be challenges faced by decision makers in urban and regional scales. In this study, a multivariate statistical input–output (MSIO) model is developed for analyzing water-carbon nexus system, through incorporating techniques of input–output analysis (IOA) and multivariate statistical analysis (MSA) into a general framework. MSIO is able t ...
DOI:
10.1016/j.apenergy.2022.118560

17. A new energy storage sharing framework with regard to both storage capacity and power capacity

Author:
Jiang-Wen Xiao; Yan-Bing Yang; Shichang Cui; Xiao-Kang Liu
Source:
Applied energy 2022 v.307 pp. 118171
ISSN:
0306-2619
Subject:
algorithms; electricity; electricity costs; energy efficiency; multipliers
Abstract:
... Energy storage systems have received widespread attention due to their advantages on rapid response, smooth fluctuations, and the reduction of temporal and spatial imbalance. At present, most researchers mainly consider the allocation of energy storage capacity while using an average allocation of the power capacity, which may lead to conflicts among users when executing the energy sharing strateg ...
DOI:
10.1016/j.apenergy.2021.118171

18. A novel adaptive intelligent MPC scheme for frequency stabilization of a microgrid considering SoC control of EVs

Author:
Bhuvnesh Khokhar; K. P. Singh Parmar
Source:
Applied energy 2022 v.309 pp. 118423
ISSN:
0306-2619
Subject:
algorithms; batteries; energy; models; storage technology
Abstract:
... In the recent years, the vehicle-to-grid (V2G) technology has been successfully implemented to stabilize the frequency deviations in a microgrid (MG) whereby charging/discharging of battery of electric vehicles (EVs) is utilized depending upon their state-of-charge (SoC). Compared to the conventional battery energy storage technology, lower degradation tendency and lesser cost of an EV battery are ...
DOI:
10.1016/j.apenergy.2021.118423

19. A novel approach based on integration of convolutional neural networks and deep feature selection for short-term solar radiation forecasting

Author:
Hakan Acikgoz
Source:
Applied energy 2022 v.305 pp. 117912
ISSN:
0306-2619
Subject:
energy; neural networks; solar radiation; wavelet
Abstract:
... In this study, a novel deep solar forecasting approach is proposed based on the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), continuous wavelet transform (CWT), feature extraction networks, RReliefF feature selection, and extreme learning machine (ELM). The global solar radiation is decomposed into mode functions with the CEEMDAN method. The CWT reconstructs one-di ...
DOI:
10.1016/j.apenergy.2021.117912

20. A novel deep-learning based surrogate modeling of stochastic electric vehicle traffic user equilibrium in low-carbon electricity–transportation nexus

Author:
Quan Yuan; Yujian Ye; Yi Tang; Yuanchang Liu; Goran Strbac
Source:
Applied energy 2022 v.315 pp. 118961
ISSN:
0306-2619
Subject:
electric vehicles; energy; models; traffic
Abstract:
... The increasing penetration of electric vehicles (EV) and fast charging stations (FCS) is tightly coupling the operation of power and transportation systems. In this context, the characterization of the EV flows and charging demand in response to varying traffic conditions and coordinated optimization strategies play a vital role. Previous work on the computation of stochastic traffic user equilibr ...
DOI:
10.1016/j.apenergy.2022.118961

21. A novel dynamic simulation approach for Gas-Heat-Electric coupled system

Author:
Aobo Guan; Suyang Zhou; Wei Gu; Zhong Liu; Hengmen Liu
Source:
Applied energy 2022 v.315 pp. 118999
ISSN:
0306-2619
Subject:
energy; equipment; heat transfer; sequence analysis
Abstract:
... Dynamic simulation of Gas-Heat-Electric Coupled System (GHECS) can accurately describe the operation state of networks and equipment of the system, which can support the analysis of the stability and safety of GHECS. However, differences among simulation time-step of subsystems, computational complexities and lengthy simulation time make it difficult to precisely simulate the coupled system. To so ...
DOI:
10.1016/j.apenergy.2022.118999

22. A novel electrochemical refrigeration system based on the combined proton exchange membrane fuel cell-electrolyzer

Author:
Armin Abdollahipour; Hoseyn Sayyaadi
Source:
Applied energy 2022 v.316 pp. 119058
ISSN:
0306-2619
Subject:
electrochemistry; energy; fuel cells; models; refrigeration; refrigerators; temperature
Abstract:
... This study presents an electrochemical cooling system consisting of a proton exchange membrane fuel cell (PEMFC) and a proton exchange membrane electrolyzer cell (PEMEC) based on a continuous thermally regenerative electrochemical refrigerator (TRER) cycle. The three-dimensional model of the PEMFC and PEMEC are numerically simulated. The cooling system performance was investigated in terms of coef ...
DOI:
10.1016/j.apenergy.2022.119058

23. A novel impoundment framework for a mega reservoir system in the upper Yangtze River basin

Author:
Shaokun He; Shenglian Guo; Jiabo Yin; Zhen Liao; He Li; Zhangjun Liu
Source:
Applied energy 2022 v.305 pp. 117792
ISSN:
0306-2619
Subject:
algorithms; carbon dioxide; energy; flood control; issues and policy; models; risk; water power; watersheds; Yangtze River
Abstract:
... The joint and optimal impoundment operation of cascade reservoirs can dramatically boost the efficiency of water resource utilization. However, most existing techniques fail to conquer the curse of dimensionality in mega multi-objective reservoir system. To overcome this obstacle, this study proposes a novel framework that integrates aggregation-decomposition (AGDP), parameterization simulation op ...
DOI:
10.1016/j.apenergy.2021.117792

24. A novel quantitative forecasting framework in energy with applications in designing energy-intelligent tax policies

Author:
Stefanos G. Baratsas; Alexander M. Niziolek; Onur Onel; Logan R. Matthews; Christodoulos A. Floudas; Detlef R. Hallermann; Sorin M. Sorescu; Efstratios N. Pistikopoulos
Source:
Applied energy 2022 v.305 pp. 117790
ISSN:
0306-2619
Subject:
COVID-19 infection; carbon markets; energy; energy costs; gasoline; income; pandemic; prices; transportation industry
Abstract:
... Energy, monetary and fiscal policies are going to play a crucial role towards the broad transformation of global energy. The design and optimization of these policies as well as the efficacy in achieving the desirable results require quantitative approaches. In this study, we extend the methodology of our novel quantitative framework, the Energy Price Index (EPIC) that represents the average price ...
DOI:
10.1016/j.apenergy.2021.117790

25. A partially underground rock bed thermal energy storage with a novel air flow configuration

Author:
Kai Knobloch; Yousif Muhammad; Marta Soler Costa; Fabrizio Mayta Moscoso; Christian Bahl; Ole Alm; Kurt Engelbrecht
Source:
Applied energy 2022 v.315 pp. 118931
ISSN:
0306-2619
Subject:
air flow; electricity; renewable energy sources; thermal energy; Northern European region
Abstract:
... Low-cost, grid-level energy storage is key to maximizing the utilization of renewable energy production and decarbonizing the electricity sector. The design and testing of a high-temperature thermal energy storage based on rocks is presented. Important design features are the three electric heaters mounted on top of the storage and the inner pipe inside the rock bed, allowing for the first time a ...
DOI:
10.1016/j.apenergy.2022.118931

26. A peer-to-peer energy trading market embedded with residential shared energy storage units

Author:
Boshen Zheng; Wei Wei; Yue Chen; Qiuwei Wu; Shengwei Mei
Source:
Applied energy 2022 v.308 pp. 118400
ISSN:
0306-2619
Subject:
econometric models; energy; linear programming; markets; mathematical models; prices; renewable energy sources; supply balance
Abstract:
... The high penetration of distributed energy resources with local renewable energy consumption facilitates the emergence of peer-to-peer (P2P) energy trading, where a peer can share excessive energy with local peers. P2P energy trading is expected to be a promising business model in the future transactive energy market. Influenced by the sharing economy principle, shared energy storage(SES) is inves ...
DOI:
10.1016/j.apenergy.2021.118400

27. A resilience-oriented centralised-to-decentralised framework for networked microgrids management

Author:
Pudong Ge; Fei Teng; Charalambos Konstantinou; Shiyan Hu
Source:
Applied energy 2022 v.308 pp. 118234
ISSN:
0306-2619
Subject:
algorithms; electric power; energy; wireless technology
Abstract:
... This paper proposes a cyber–physical cooperative mitigation framework to enhance power systems resilience against power outages caused by extreme events, e.g., earthquakes and hurricanes. Extreme events can simultaneously damage the physical-layer electric power infrastructure and the cyber-layer communication facilities. Microgrid (MG) has been widely recognised as an effective physical-layer res ...
DOI:
10.1016/j.apenergy.2021.118234

28. A review of nickel-rich layered oxide cathodes: synthetic strategies, structural characteristics, failure mechanism, improvement approaches and prospects

Author:
Yao Lv; Shifei Huang; Yufeng Zhao; Swagata Roy; Xionggang Lu; Yanglong Hou; Jiujun Zhang
Source:
Applied energy 2022 v.305 pp. 117849
ISSN:
0306-2619
Subject:
cathodes; electrochemistry; energy; energy density; nickel; thermal stability
Abstract:
... Nickel-rich layered oxide cathode materials have high specific capacity and are environmentally-benign, hence they are considered as the most relevant next-generation positive-electrode materials for lithium-ion batteries, particularly for powering plug-in hybrid electric vehicles and battery electric vehicles. The rich nickel content in layered oxides is highly beneficial in improving the energy ...
DOI:
10.1016/j.apenergy.2021.117849

29. A review on proton exchange membrane multi-stack fuel cell systems: architecture, performance, and power management

Author:
Su Zhou; Lei Fan; Gang Zhang; Jianhua Gao; Yanda Lu; Peng Zhao; Chaokai Wen; Lin Shi; Zhe Hu
Source:
Applied energy 2022 v.310 pp. 118555
ISSN:
0306-2619
Subject:
carbon; combustion; energy; fuel cells; hydrogen
Abstract:
... To achieve carbon emission reduction and energy structure upgrading, the proton exchange membrane (PEM) multi-stack fuel cell system (MFCS) is an option to meet high-power demands in application scenarios. However, several barriers of the PEM MFCS have not been solved. This paper is aimed to summarize existing information and propose future R&D potentials. Firstly, detailed R&D activities and adva ...
DOI:
10.1016/j.apenergy.2022.118555

30. A robust hybrid generator for harvesting vehicle suspension vibration energy from random road excitation

Author:
Yanqiang Hu; Xiaoli Wang; Yechen Qin; Zhihao Li; Chenfei Wang; Heng Wu
Source:
Applied energy 2022 v.309 pp. 118506
ISSN:
0306-2619
Subject:
accelerometers; capacitors; durability; electric generators; electric potential difference; texture; vibration
Abstract:
... Existing energy harvesters are mostly designed into the electromagnetic shock absorbers to replace the original dampers in automotive suspension systems, possibly deteriorating sprung mass acceleration when the energy harvesters are in trouble. Therefore, this study proposed a hybrid generator based on the sliding-mode triboelectric nanogenerator (S-TENG) and electromagnetic generator (EMG) to har ...
DOI:
10.1016/j.apenergy.2021.118506

31. A simulation-based bottom-up approach for analysing the evolution of residential buildings’ material stocks and environmental impacts – A case study of Inner Melbourne

Author:
Shengping Li; Behzad Rismanchi; Lu Aye
Source:
Applied energy 2022 v.314 pp. 118941
ISSN:
0306-2619
Subject:
case studies; data collection; decision making; embodied energy; energy conservation; evolution; greenhouse gases
Abstract:
... The building sector is material-intensive and responsible for embodied energy and greenhouse gas (GHG) emissions. Comprehensively analysing the evolution of material stocks (MSs) and associated environmental impacts in the building sector can support better decision-making on material management and energy conservation. However, there is a gap in the literature to evaluate the spatial patterns and ...
DOI:
10.1016/j.apenergy.2022.118941

32. A social cost benefit analysis for the procurement of reactive power: The case of Power Potential

Author:
Karim L. Anaya; Michael G. Pollitt
Source:
Applied energy 2022 v.312 pp. 118512
ISSN:
0306-2619
Subject:
assets; case studies; cost benefit analysis; electricity; energy; Great Britain
Abstract:
... This paper quantifies the benefits of introducing reactive power markets that promote the participation of distributed energy resources (DER) in a coordinated way, between the electricity system operator and the electricity distribution utilities. The contribution that DER could make by displacing conventional network assets in supplying reactive power support is evaluated in the context of a case ...
DOI:
10.1016/j.apenergy.2022.118512

33. A spatial optimization approach to increase the accuracy of rooftop solar energy assessments

Author:
Qing Zhong; Jake R. Nelson; Daoqin Tong; Tony H. Grubesic
Source:
Applied energy 2022 v.316 pp. 119128
ISSN:
0306-2619
Subject:
energy; models; solar collectors; solar energy; solar radiation
Abstract:
... Recent years have seen a substantial increase in energy produced by renewable sources. The International Energy Agency (IEA) expects a large portion of future growth in renewable energy to come from solar, especially rooftop photovoltaic (PV) systems. Studies focused on estimating rooftop solar energy potential generally use the total area available for PV installation as determined by solar irrad ...
DOI:
10.1016/j.apenergy.2022.119128

34. A stepwise methodology for the design and evaluation of protection strategies in LVDC microgrids

Author:
L. Hallemans; S. Ravyts; G. Govaerts; S. Fekriasl; P. Van Tichelen; J. Driesen
Source:
Applied energy 2022 v.310 pp. 118420
ISSN:
0306-2619
Subject:
algorithms; case studies; electric potential difference
Abstract:
... Over the past years, there has been an increasing scientific interest in Low Voltage DC grids as an alternative to traditional Low Voltage AC grids, driven by the energy transition. However, fault detection and protection of LVDC microgrids still poses an important challenge for their breakthrough on a large scale. Due to the required speed and reliability of LVDC microgrid protection, an increasi ...
DOI:
10.1016/j.apenergy.2021.118420

35. Accurate and reliable state of charge estimation of lithium ion batteries using time-delayed recurrent neural networks through the identification of overexcited neurons

Author:
Zhimin Xi; Rui Wang; Yuhong Fu; Chris Mi
Source:
Applied energy 2022 v.305 pp. 117962
ISSN:
0306-2619
Subject:
energy; lithium; lithium batteries; magnesium; neurons; phosphates
Abstract:
... Various neural network models have been adopted for lithium ion battery state of charge (SOC) estimation with good accuracy. However, problems for battery states estimation from neural networks were usually not reported, which is mainly due to the lack of effective solutions other than a trial and error training process. This paper firstly proposes time-delayed recurrent neural network for lithium ...
DOI:
10.1016/j.apenergy.2021.117962

36. Accurate identification of influential building parameters through an integration of global sensitivity and feature selection techniques

Author:
John Neale; Mohammad Haris Shamsi; Eleni Mangina; Donal Finn; James O’Donnell
Source:
Applied energy 2022 v.315 pp. 118956
ISSN:
0306-2619
Subject:
Bayesian theory; data collection; energy; guidelines; literacy; prediction
Abstract:
... The development of building energy performance simulation models often requires significant time and effort to achieve an acceptable degree of prediction accuracy. As such, energy modelers introduce various simplifications and assumptions that require a high degree of modeling literacy to avoid any errors in energy predictions. Previous studies relate these simplifications to the identification of ...
DOI:
10.1016/j.apenergy.2022.118956

37. Accurate residual capacity estimation of retired LiFePO4 batteries based on mechanism and data-driven model

Author:
Yulong Ni; Jianing Xu; Chunbo Zhu; Lei Pei
Source:
Applied energy 2022 v.305 pp. 117922
ISSN:
0306-2619
Subject:
Markov chain; algorithms; energy; models; regression analysis
Abstract:
... Accurate residual capacity estimation of retired LiFePO₄ batteries is critically important for second-use applications but is challenging with multiple aging pathways and nonlinear degradation mechanisms. In this study, a fast and accurate residual capacity estimation method based on the mechanism and data-driven model is developed with two main contributions. First, as the basis of the residual c ...
DOI:
10.1016/j.apenergy.2021.117922

38. Accurate thermal prediction model for building-integrated photovoltaics systems using guided artificial intelligence algorithms

Author:
L. Serrano-Luján; C. Toledo; J.M. Colmenar; J. Abad; A. Urbina
Source:
Applied energy 2022 v.315 pp. 119015
ISSN:
0306-2619
Subject:
ambient temperature; artificial intelligence; data collection; economic feasibility; energy; insulating materials; models; relative humidity; silicon; solar collectors; solar energy; solar radiation; thermal properties; wind speed
Abstract:
... Progress in development of building-integrated photovoltaic systems is still hindered by the complexity of the physics and materials properties of the photovoltaic (PV) modules and its effect on the thermal behavior of the building. This affects not only the energy generation, as its active function and linked to economic feasibility, but also the thermal insulation of the building as part of the ...
DOI:
10.1016/j.apenergy.2022.119015

39. Adaptable scheduling of smart building communities with thermal mapping and demand flexibility

Author:
Farhad Angizeh; Ali Ghofrani; Esmat Zaidan; Mohsen A. Jafari
Source:
Applied energy 2022 v.310 pp. 118445
ISSN:
0306-2619
Subject:
air; electric vehicles; electricity; energy; heat; humans; operating costs; simulation models; temperature; Qatar
Abstract:
... This paper proposes a novel hierarchical optimization framework that couples the balancing problem of a community network with building energy management (BEM) to form an integrated model capable of capturing potential joint-flexibilities of connected buildings while co-optimizing the operation schedules of community-operated assets. The proposed framework comprises a community-level power flow-ba ...
DOI:
10.1016/j.apenergy.2021.118445

40. Advanced parametric model for analysis of the influence of channel cross section dimensions and clamping pressure on current density distribution in PEMFC

Author:
Nico Keller; Thomas von Unwerth
Source:
Applied energy 2022 v.307 pp. 118132
ISSN:
0306-2619
Subject:
early development; energy; fuel cells; models
Abstract:
... The design of the flow field and the channel cross section of a bipolar plate as well as the intrusion effect of gas diffusion layers due to clamping pressure can significantly influence the performance of a fuel cell. The land and channel areas at a channel cross section can have different boundary conditions due to compression, intrusion of gas diffusion layers and transport phenomena. Todayappl ...
DOI:
10.1016/j.apenergy.2021.118132

41. An Edge Computing-oriented Net Power Forecasting for PV-assisted Charging Station: Model Complexity and Forecasting Accuracy Trade-off

Author:
Jiaqi Shi; Nian Liu; Yujing Huang; Liya Ma
Source:
Applied energy 2022 v.310 pp. 118456
ISSN:
0306-2619
Subject:
electric vehicles; energy; models; prediction; prices; raspberries; renewable energy sources
Abstract:
... The PV-assisted charging station (PVCS) aggregates the two key resources of electric vehicle (EV) charging load and photovoltaic (PV) system to maximize operation profit. In order to quantify the PVCS impact to grid and the renewable energy utilization by EV charging load, it is crucial to predict the PVCS net power and capture the most correlated factors for power variation. Given that the PVCS i ...
DOI:
10.1016/j.apenergy.2021.118456

42. An electrical resistivity-based method for measuring semi-clathrate hydrate formation kinetics: Application for cold storage and transport

Author:
Hyunho Kim; Junjie Zheng; Zhenyuan Yin; Sreekala Kumar; Jackson Tee; Yutaek Seo; Praveen Linga
Source:
Applied energy 2022 v.308 pp. 118397
ISSN:
0306-2619
Subject:
cold; cold storage; electrical resistance; energy; latent heat; phase transition; slurries; temperature; tryptophan
Abstract:
... Tetra-n-butylammonium bromide (TBAB) semi-clathrate hydrate has a large latent heat and suitable phase transition temperatures to be used as a phase change material for cold energy storage and transport. The mass fraction of hydrates in the semi-clathrate hydrate slurry is a key parameter determining the cold carrying capacity and flow properties. We developed a new experimental methodology based ...
DOI:
10.1016/j.apenergy.2021.118397

43. An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting

Author:
Georgios Mitrentsis; Hendrik Lens
Source:
Applied energy 2022 v.309 pp. 118473
ISSN:
0306-2619
Subject:
energy; humans; normal distribution; prediction; probabilistic models; solar energy; Germany
Abstract:
... PV power forecasting models are predominantly based on machine learning algorithms which do not provide any insight into or explanation about their predictions (black boxes). Therefore, their direct implementation in environments where transparency is required, and the trust associated with their predictions may be questioned. To this end, we propose a two stage probabilistic forecasting framework ...
DOI:
10.1016/j.apenergy.2021.118473

44. An online parameter identification and real-time optimization platform for thermal systems and its application

Author:
Xi Chen; Tian Zhao; Qun Chen
Source:
Applied energy 2022 v.307 pp. 118199
ISSN:
0306-2619
Subject:
algorithms; coal; data collection; databases; energy; energy conservation; heat; neural networks; power plants; system optimization
Abstract:
... Real-time performance optimization of thermal systems is crucial for energy conservation but also challenging because of the high system complexity and time sensitivity. Herein, an online parameter identification and real-time optimization platform for thermal systems is developed, and a gas-steam combined cycle cogeneration system is used to demonstrate its capability. The platform integrates dat ...
DOI:
10.1016/j.apenergy.2021.118199

45. An optimisation model to determine the capacity of a distributed energy resource to contract with a balancing services aggregator

Author:
Ussama Rai; Gbemi Oluleye; Adam Hawkes
Source:
Applied energy 2022 v.306 pp. 117984
ISSN:
0306-2619
Subject:
electricity; electricity generation; income; models
Abstract:
... Electricity systems require a real-time balance between generation and demand for electricity. In the past, changing the output of larger generators has been the primary means of achieving this balance, but more recently, smaller distributed energy resources (DERs) are becoming a contributor. As electricity generation becomes more intermittent due to the uptake of renewables, the task of balancing ...
DOI:
10.1016/j.apenergy.2021.117984

46. Application of Industrial Symbiosis principles to the management of utility networks

Author:
Aldwin-Lois Galvan-Cara; Moisès Graells; Antonio Espuña
Source:
Applied energy 2022 v.305 pp. 117734
ISSN:
0306-2619
Subject:
decision making; energy; financial economics; game theory; industrial symbiosis; models; symbiosis
Abstract:
... Utility exchanges between different plants have shown to produce large energy savings, extending the potential advantages of Energy/Process Integration through Industrial Symbiosis principles. Systematic approaches to determine such exchanges in industrial networks have been already proposed, although some of them are only applicable to specific situations and some others introduce the figure of a ...
DOI:
10.1016/j.apenergy.2021.117734

47. Application of a novel heat pump model for estimating economic viability and barriers of heat pumps in dairy applications in the United States

Author:
Jordan Cox; Scott Belding; Travis Lowder
Source:
Applied energy 2022 v.310 pp. 118499
ISSN:
0306-2619
Subject:
capital; carbon; dairy industry; economic sustainability; electricity; electricity costs; energy; fluid milk; heat; heat pumps; models; natural gas; pasteurization; prices; streams; temperature; variance
Abstract:
... Heat pumps represent an important opportunity for energy savings and decarbonization. This work investigates the techno-economic performance of high-temperature heat pumps (HTHPs) for use in the U.S. dairy industry. The studied heat pump performs a 50 °C temperature lift on a waste heat stream of cleaning water and applies the upgraded heat stream to a fluid milk pasteurization process. This work ...
DOI:
10.1016/j.apenergy.2021.118499

48. Application of geographical information system and agent-based modeling to estimate particle-gaseous pollutant emissions and transportation cost of woody biomass supply chain

Author:
Seyed Mojib Zahraee; Nirajan Shiwakoti; Peter Stasinopoulos
Source:
Applied energy 2022 v.309 pp. 118482
ISSN:
0306-2619
Subject:
bioenergy industry; biofuels; case studies; climate change; energy conversion; freight; geographic information systems; pollutants; rail transportation; supply chain; waste wood; wood; woody biomass
Abstract:
... Wood based bioenergy industry is growing rapidly due to climate change, challenging environmental and economic conditions, progress in energy conversion, and development of renewable energy policies. In this regard, an important challenge is employing woody biomass effectively and considering the lower environmental emissions, transportation, and emissions cost of the supply chain and activities n ...
DOI:
10.1016/j.apenergy.2021.118482

49. Artificial neural network enabled accurate geometrical design and optimisation of thermoelectric generator

Author:
Yuxiao Zhu; Daniel W. Newbrook; Peng Dai; C.H. Kees de Groot; Ruomeng Huang
Source:
Applied energy 2022 v.305 pp. 117800
ISSN:
0306-2619
Subject:
algorithms; carbon dioxide; cost effectiveness; data collection; electrical resistance; energy; finite element analysis; heat transfer; neural networks; power generation; prediction; renewable energy sources; temperature; thermoelectric generators
Abstract:
... The ever-increasing demand for renewable energy and zero carbon dioxide emission have been the driving force for the development of thermoelectric generators with better power generation performance. Alongside with the effort to discover thermoelectric materials with higher figure-of-merit, the geometrical and structural optimisation of thermoelectric generators are also essential for maximized po ...
DOI:
10.1016/j.apenergy.2021.117800

50. Assessing the role of fluctuating renewables in energy transition: Methodologies and tools

Author:
Ettore Bompard; Alessandro Ciocia; Daniele Grosso; Tao Huang; Filippo Spertino; Mehdi Jafari; Audun Botterud
Source:
Applied energy 2022 v.314 pp. 118968
ISSN:
0306-2619
Subject:
Internet; case studies; electricity; electricity generation; uncertainty; wind; Egypt
Abstract:
... Due to the environmental impacts brought by current energy schemes, the energy transition, a new paradigm shift from fossil fuels to renewable energy, has been widely accepted and is being realized through collective international, regional, and local efforts. Electricity, as the most direct and effective use of renewable energy sources (RES), plays a key role in the energy transition. In this pap ...
DOI:
10.1016/j.apenergy.2022.118968