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You searched for: Journal name Applied energy Remove constraint Journal name: Applied energy
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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 Mission-Driven Two-Step Virtual Machine Commitment for Energy Saving of Modern Data Centers through UPS and Server Coordinated Optimizations

Author:
Guisen Ye; Feng Gao; Jingyang Fang
Source:
Applied energy 2022 pp. 119467
ISSN:
0306-2619
Subject:
algorithms; energy; energy use and consumption; models; system optimization
Abstract:
... Recent years witness a rapid increasing of data center energy consumption, among which the power losses of uninterruptible power supply (UPS) and server dominate. This paper proposes a mission-driven two-step virtual machine (VM) commitment by considering the characteristics of UPS power losses in virtual machine allocation. To formulate the optimization problem, a power model of data center is bu ...
DOI:
10.1016/j.apenergy.2022.119467

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 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 v.320 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

8. 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

9. A data-driven method for multi-step-ahead prediction and long-term prognostics of proton exchange membrane fuel cell

Author:
Khaled Benaggoune; Meiling Yue; Samir Jemei; Noureddine Zerhouni
Source:
Applied energy 2022 v.313 pp. 118835
ISSN:
0306-2619
Subject:
commercialization; durability; energy; fuel cells; markets; neural networks; prediction; uncertainty
Abstract:
... Fuel cell technology has been rapidly developed in the last decade owing to its clean characteristic and high efficiency. Proton exchange membrane fuel cells (PEMFCs) are increasingly used in transportation applications and small stationary applications; however, the cost and the unsatisfying durability of the PEMFC stack have limited their successful commercialization and market penetration. In r ...
DOI:
10.1016/j.apenergy.2022.118835

10. 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

11. A data-driven probabilistic harmonic power flow approach in power distribution systems with PV generations

Author:
Xiangmin Xie; Fei Peng; Yan Zhang
Source:
Applied energy 2022 v.321 pp. 119331
ISSN:
0306-2619
Subject:
carbon; energy; lighting; mathematical theory; models; renewable energy sources; temperature
Abstract:
... Large-scale electrification in the end-user and renewable energy fields is one of the key pathways to achieving carbon neutrality by 2050. Meanwhile, a large number of power electronic devices are used in residential, commercial, and office loads and photovoltaic (PV), which leads to the power quality harmonics in the power distribution system (PDS) becoming more prominent than ever before. Due to ...
DOI:
10.1016/j.apenergy.2022.119331

12. 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

13. 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

14. 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

15. A filter less improved control scheme for active/reactive energy management in fuel cell integrated grid system with harmonic reduction ability

Author:
Sheikh Tanzim Meraj; Nor Zaihar Yahaya; Kamrul Hasan; M.S. Hossain Lipu; Rajvikram Madurai Elavarasan; Aini Hussain; M.A. Hannan; Kashem M. Muttaqi
Source:
Applied energy 2022 v.312 pp. 118784
ISSN:
0306-2619
Subject:
electricity; energy efficiency; fuel cells
Abstract:
... Fuel-cell integrated electrical grid systems are considered the future of energy generation since it is highly energy-efficient and environmentally friendly. However, they are still in the initial phase of implementation and hold some drawbacks that need to be addressed. In fuel cell integrated grid systems, electrical loads usually produce active/reactive power which hampers the nominal operation ...
DOI:
10.1016/j.apenergy.2022.118784

16. A half-wave electromagnetic energy-harvesting tie towards safe and intelligent rail transportation

Author:
Yu Pan; Lei Zuo; Mehdi Ahmadian
Source:
Applied energy 2022 v.313 pp. 118844
ISSN:
0306-2619
Subject:
electric power; electricity; electronics; kinetic energy; nonlinear models; prototypes; rail transportation; railroads; safety equipment; vandalism
Abstract:
... This paper presents the design, modeling, and experimental testing of a novel railroad energy harvesting tie for improving rail safety and connectivity and bringing intelligence to the railroad. The system is intended for applications that require trackside power in remote locations and tunnels, where electrical power for wayside safety equipment, wireless communication systems, and health monitor ...
DOI:
10.1016/j.apenergy.2022.118844

17. 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

18. A high-performance wearable thermoelectric generator with comprehensive optimization of thermal resistance and voltage boosting conversion

Author:
Jin-Ran Lv; Jin-Lei Ma; Lu Dai; Tao Yin; Zhi-Zhu He
Source:
Applied energy 2022 v.312 pp. 118696
ISSN:
0306-2619
Subject:
air; ambient temperature; blood; body temperature; cold; electric potential difference; heart rate; heat; heat tolerance; humidity; oxygen; thermoelectric generators; wind speed; wireless technology
Abstract:
... This paper develops a superhigh-performance wearable thermoelectric generator (WTEG) for harvesting body heat, achieving an output power density of 15.8 μW/cm² in windless and moveless conditions, and 97.6 μW/cm² for walking of 0.8 m/s. A novel WTEG configuration integrated with the porous sandwich substrate and direct-soldering Cu-foam heat sink is designed to significantly improve its flexibilit ...
DOI:
10.1016/j.apenergy.2022.118696

19. A hybrid architecture for volt-var control in active distribution grids

Author:
Rabab Haider; Anuradha M. Annaswamy
Source:
Applied energy 2022 v.312 pp. 118735
ISSN:
0306-2619
Subject:
Hawaii; algorithms; electric potential difference; models; topology
Abstract:
... Modern active distribution grids are characterized by the increasing penetration of distributed energy resources (DERs). The proper coordination and scheduling of a large numbers of these small-scale and spatially distributed DERs is necessary, and warrants the use of novel distributed approaches. In this paper, we propose a hybrid volt-var control architecture for the distribution grid, which lev ...
DOI:
10.1016/j.apenergy.2022.118735

20. A low-carbon planning method for joint regional-district multi-energy systems: From the perspective of privacy protection

Author:
Wei Gan; Mingyu Yan; Jianfeng Wen; Wei Yao; Jing Zhang
Source:
Applied energy 2022 v.311 pp. 118595
ISSN:
0306-2619
Subject:
carbon; energy; financial economics; models
Abstract:
... The construction of the multi-energy system (MES) is regarded as one of the silver bullets that help construct a low-carbon and high-efficiency energy system. In addition to the synergy of multiple energy systems, the coordination of regional and district energy systems can further improve flexibility. However, current studies rarely focus on the joint planning of regional-district MES. Additional ...
DOI:
10.1016/j.apenergy.2022.118595

21. 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

22. A modified rule-based energy management scheme for optimal operation of a hybrid PV-wind-Stirling engine integrated multi-carrier energy system

Author:
Godfrey T. Udeh; Stavros Michailos; Derek Ingham; Kevin J. Hughes; Lin Ma; Mohamed Pourkashanian
Source:
Applied energy 2022 v.312 pp. 118763
ISSN:
0306-2619
Subject:
batteries; energy; energy costs; operating costs
Abstract:
... In this study, rule-based energy management strategies (EMS) based on the modifications of the traditional load following (LF) and circuit charging (CC) have been proposed and developed to effectively coordinate the operation of an integrated multi-carrier hybrid energy system. The proposed EMS aim to overcome some of the challenges of the traditional rule-based EMS and broaden their application t ...
DOI:
10.1016/j.apenergy.2022.118763

23. 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

24. 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

25. A multi-objective maintenance strategy optimization framework for offshore wind farms considering uncertainty

Author:
Mingxin Li; Xiaoli Jiang; James Carroll; Rudy R. Negenborn
Source:
Applied energy 2022 v.321 pp. 119284
ISSN:
0306-2619
Subject:
Monte Carlo method; decision making; decision support systems; energy; models; system optimization; uncertainty; wind; wind farms; wind power; North Sea
Abstract:
... While offshore wind energy is showing enormous potential, effective approaches to enhance its economics are being sought at the same time. The design of maintenance strategy is a type of strategic decision-making for offshore wind farms, aiming to improve energy production and reduce maintenance expenses. As a complicated and challenging task, the maintenance decision-making is confronted with var ...
DOI:
10.1016/j.apenergy.2022.119284

26. 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

27. A new deregulated demand response scheme for load over-shifting city in regulated power market

Author:
Fangyuan Xu; Weidong Zhu; Yi Fei Wang; Chun Sing Lai; Haoliang Yuan; Yujia Zhao; Siming Guo; Zhengxin Fu
Source:
Applied energy 2022 v.311 pp. 118337
ISSN:
0306-2619
Subject:
algorithms; electric energy consumption; energy; markets; risk; system optimization; tariffs
Abstract:
... Time-based demand response (DR) is an effective way to improve the reliability of power grid and reduce energy costs. Time-Of-Use tariff (TOU) has been adopted by many countries and achieved good performance. However, in cities with a large proportion of industrial consumers, load over-shifting phenomenon leads to new peak electricity consumption and reduces the effect of TOU. This paper proposes ...
DOI:
10.1016/j.apenergy.2021.118337

28. 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

29. 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

30. 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

31. 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

32. A novel dual time-scale voltage sensor fault detection and isolation method for series-connected lithium-ion battery pack

Author:
ZHANG Shuzhi; JIANG Shiyong; WANG Hongxia; ZHANG Xiongwen
Source:
Applied energy 2022 pp. 119541
ISSN:
0306-2619
Subject:
electric potential difference; isolation techniques; lithium batteries; variance
Abstract:
... Considering the limitations in existing correlation coefficient-based, entropy-based and big data analysis-based voltage sensor fault diagnosis methods, we develop a novel dual time-scale voltage sensor fault detection and isolation method for series-connected lithium-ion battery pack in this paper. Firstly, a “ohmic resistance”-based selection method is periodically performed to artificially divi ...
DOI:
10.1016/j.apenergy.2022.119541

33. 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

34. 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

35. 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

36. 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

37. A novel vibration energy harvesting system integrated with an inertial pendulum for zero-energy sensor applications in freight trains

Author:
Zheng Fang; Xing Tan; Genshuo Liu; Zijie Zhou; Yajia Pan; Ammar Ahmed; Zutao Zhang
Source:
Applied energy 2022 v.318 pp. 119197
ISSN:
0306-2619
Subject:
capacitors; computer software; dynamic models; electric power; electricity; energy conversion; freight; rail transportation; vibration
Abstract:
... With the development of the global economy, the demand for freight trains continues to rise, and the safety and maintenance of freight trains are essential. Therefore, sensors used for onboard monitoring of freight trains are vital components. However, the lack of onboard energy sources on freight trains makes the self-powering of sensors an urgent problem. In this paper, a novel renewable vibrati ...
DOI:
10.1016/j.apenergy.2022.119197

38. A numerical-experimental dynamic analysis of high-efficiency and broadband bistable energy harvester with self-decreasing potential barrier effect

Author:
Lin Chen; Xin Liao; Beibei Sun; Ning Zhang; Jianwei Wu
Source:
Applied energy 2022 v.317 pp. 119161
ISSN:
0306-2619
Subject:
magnetism; mathematical models; potential energy; power generation; theoretical models; vibration
Abstract:
... It is difficult for a conventional bistable energy harvester (CBEH) to form inter-well motion under a weak excitation, resulting in a narrow output bandwidth. In this paper, a bistable energy harvester with a self-decreasing potential barrier effect (BEH-DB) is proposed. It adopts a spring-magnetic oscillator to rectify the cantilever beam bi-directionally causing the potential barrier to be dynam ...
DOI:
10.1016/j.apenergy.2022.119161

39. 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

40. 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

41. 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

42. A review of dew-point evaporative cooling: Recent advances and future development

Author:
Guangya Zhu; Tao Wen; Qunwei Wang; Xiaoyu Xu
Source:
Applied energy 2022 v.312 pp. 118785
ISSN:
0306-2619
Subject:
air; cooling; energy; energy conservation; heat; mass transfer; renewable energy sources; temperature
Abstract:
... Dew-point evaporative cooling (DPEC) is a high-efficiency heat and mass transfer technique and has been widely used in various industries. The suitable and efficient application of this technology is helpful for energy conservation and can bring great benefits for the fulfillment of carbon–neutral development. In this paper, a comprehensive review of DPEC techniques was conducted through the intro ...
DOI:
10.1016/j.apenergy.2022.118785

43. 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

44. 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

45. 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

46. A short-term wind speed prediction method utilizing novel hybrid deep learning algorithms to correct numerical weather forecasting

Author:
Yan Han; Lihua Mi; Lian Shen; C.S. Cai; Yuchen Liu; Kai Li; Guoji Xu
Source:
Applied energy 2022 v.312 pp. 118777
ISSN:
0306-2619
Subject:
algorithms; case studies; energy; neural networks; prediction; wind power; wind speed
Abstract:
... The accuracy of the wind speed prediction is of crucial significance for the operation and dispatch of the power grid system reasonably. However, wind speed is so random and intermittent that the accuracy of wind speed prediction always remains unsatisfactory. Moreover, the coupling relationship between other meteorological variables and wind speed in the time and frequency domains has rarely been ...
DOI:
10.1016/j.apenergy.2022.118777

47. A simplified improved transactive control of air-conditioning demand response for determining room set-point temperature: Experimental studies

Author:
Chengyan Xiong; Zhe Sun; Qinglong Meng; Zeyang Li; Yingan Wei; Fan Zhao; Le Jiang
Source:
Applied energy 2022 pp. 119521
ISSN:
0306-2619
Subject:
air; ambient temperature; control methods; electricity costs; energy; prices; summer; winter
Abstract:
... At present, transactive control (TC) represents a novel demand response control method. As traditional TC strategies are incapable of determining the market-clearing price, the room set-point temperature cannot be calculated. Therefore, this study proposes a simplified improved transactive control (ITC) method for the demand response (DR) needs of air-conditioning systems. The relationship between ...
DOI:
10.1016/j.apenergy.2022.119521

48. 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

49. 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

50. 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

51. 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

52. A thermoacoustic refrigerator with multiple-bypass expansion cooling configuration for natural gas liquefaction

Author:
Xin Wang; Jingyuan Xu; Zhanghua Wu; Ercang Luo
Source:
Applied energy 2022 v.313 pp. 118780
ISSN:
0306-2619
Subject:
energy efficiency; heat; heat exchangers; latent heat; liquefaction; natural gas; refrigeration; refrigerators; temperature
Abstract:
... A small-scale, energy-efficient and reliable refrigeration system is required for on-site liquefaction of natural gas in distributed stations. The thermoacoustic refrigerator is regarded as one of the most promising options to meet this demand. However, existing work on thermoacoustic refrigerators to date has been limited to a single cooling temperature only at the liquefaction temperature, witho ...
DOI:
10.1016/j.apenergy.2022.118780

53. 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

54. 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

55. 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

56. 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

57. Active distribution system resilience quantification and enhancement through multi-microgrid and mobile energy storage

Author:
Dillip Kumar Mishra; Mojtaba Jabbari Ghadi; Li Li; Jiangfeng Zhang; M.J. Hossain
Source:
Applied energy 2022 v.311 pp. 118665
ISSN:
0306-2619
Subject:
energy; objectives; storage; weather; weathering
Abstract:
... The functional capability of the active distribution network is continually challenged by extreme weather and unforeseen events. A complete resilience quantification framework is required to assess the resilience of a distribution system. With this objective, a framework for demonstrating resilience enhancement through the utilization of multi-microgrids (MMGs) and mobile energy storage in extreme ...
DOI:
10.1016/j.apenergy.2022.118665

58. 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

59. 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

60. 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

61. An efficient DLN2-CRSO approach based dynamic stability enhancement in micro-grid system

Author:
V. Anantha Krishnan; P. Balamurugan
Source:
Applied energy 2022 v.322 pp. 119432
ISSN:
0306-2619
Subject:
algorithms; electric potential difference; rats; standard deviation
Abstract:
... An efficient regulation of the frequency and voltage of operation of the microgrid in island mode is essential; otherwise, the voltage and frequency deviations in the microgrid will increase the energy imbalance by going beyond the tolerance range. In this manuscript, an efficient hybrid approach to improve the dynamic stability of the micro grid (MG) is proposed. The proposed hybrid approach is t ...
DOI:
10.1016/j.apenergy.2022.119432

62. 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

63. An evolutionary robust solar radiation prediction model based on WT-CEEMDAN and IASO-optimized outlier robust extreme learning machine

Author:
Chu Zhang; Lei Hua; Chunlei Ji; Muhammad Shahzad Nazir; Tian Peng
Source:
Applied energy 2022 pp. 119518
ISSN:
0306-2619
Subject:
Markov chain; algorithms; clean energy; energy; models; prediction; solar energy; solar radiation; time series analysis; wavelet
Abstract:
... As a kind of clean energy, solar energy occupies a pivotal position in energy applications. Accurate and reliable solar radiation prediction is critical to the application of solar energy. In particular, a novel solar radiation prediction based on wavelet transform (WT), complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), improved atom search optimization (IASO) and outli ...
DOI:
10.1016/j.apenergy.2022.119518

64. An integrated analysis of China’s iron and steel industry towards carbon neutrality

Author:
Xiaoyang Wang; Biying Yu; Runying An; Feihu Sun
Source:
Applied energy 2022 pp. 119453
ISSN:
0306-2619
Subject:
carbon; carbon dioxide; clean energy; climate change; energy; energy conservation; industry; iron; models; raw materials; steel; technology; China
Abstract:
... The iron and steel industry is a critical sector for achieving China’s carbon neutrality goal. However, existing studies lack considering the multiple constraints including limited resources, technology diffusion and carbon emissions reduction on design of carbon neutral pathway for iron and steel industry. A broader analysis that can integrate resources-technologies-emissions in to a united frame ...
DOI:
10.1016/j.apenergy.2022.119453

65. 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

66. An occupant-centric control framework for balancing comfort, energy use and hygiene in hot water systems: A model-free reinforcement learning approach

Author:
Amirreza Heidari; François Maréchal; Dolaana Khovalyg
Source:
Applied energy 2022 v.312 pp. 118833
ISSN:
0306-2619
Subject:
COVID-19 infection; data collection; energy; hygiene; models; supply balance; uncertainty; weather; Switzerland
Abstract:
... Occupants’ behavior is a major source of uncertainty for the optimal operation of building energy systems. The highly stochastic hot water use behavior of occupants has led to conservative operational strategies for hot water systems, that try to ensure occupants’ comfort by following energy-intensive operational approaches. Intending to integrate the occupants’ behavior into hot water systems con ...
DOI:
10.1016/j.apenergy.2022.118833

67. 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

68. 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

69. An unsupervised hourly weather status pattern recognition and blending fitting model for PV system fault detection

Author:
Jiaqi Qu; Zheng Qian; Yan Pei; Lu Wei; Hamidreza Zareipour; Qiang Sun
Source:
Applied energy 2022 v.319 pp. 119271
ISSN:
0306-2619
Subject:
energy; models; solar collectors; weather; Australia
Abstract:
... Detecting PV system faults in a timely fashion is important to ensure the safe operation of equipment and reduce their impact on the economy of the PV systems. It is necessary to further improve the time-sensitive performance evaluation of the system. However, the hourly weather scenario segmentations are seldom considered during the hour-level online monitoring process. Therefore, a hybrid method ...
DOI:
10.1016/j.apenergy.2022.119271

70. Analysis of the level of energy security in the three seas initiative countries

Author:
Magdalena Tutak; Jarosław Brodny
Source:
Applied energy 2022 v.311 pp. 118649
ISSN:
0306-2619
Subject:
climate; descriptive statistics; economic policy; energy; energy policy; entropy; standard deviation; Austria; Bulgaria; Poland
Abstract:
... Ensuring energy security is one of the main objectives of the economic policy of the European Union (EU) and individual member states. This particularly concerns the new EU members, which, apart from Austria, form the Three Seas Initiative. One of the primary goals of this Initiative is to achieve energy independence while achieving climate neutrality. In order to diagnose the state of energy secu ...
DOI:
10.1016/j.apenergy.2022.118649

71. 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

72. 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

73. 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

74. 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

75. Assessing the effects of emissions trading systems on energy consumption and energy mix

Author:
Xiujie Tan; Qian Sun; Meiji Wang; Tsun Se Cheong; Wai Yan Shum; Jinpeng Huang
Source:
Applied energy 2022 v.310 pp. 118583
ISSN:
0306-2619
Subject:
carbon; coal; data collection; economic development; electric energy consumption; electricity; energy; China
Abstract:
... The carbon emissions trading system (ETS) is expected to achieve energy transition and carbon-neutrality goals by theoretically reducing energy consumption and adjusting the energy mix. This study aims to provide firm-level evidence on these effects by adopting the distribution dynamics approach, which could reveal historical transition probabilities and predict long-term evolutions. By using the ...
DOI:
10.1016/j.apenergy.2022.118583

76. 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

77. Assessment of concentrated solar power generation potential in China based on Geographic Information System (GIS)

Author:
Fuying Chen; Qing Yang; Niting Zheng; Yuxuan Wang; Junling Huang; Lu Xing; Jianlan Li; Shuanglei Feng; Guoqian Chen; Jan Kleissl
Source:
Applied energy 2022 v.315 pp. 119045
ISSN:
0306-2619
Subject:
carbon; carbon dioxide; energy; geographic information systems; issues and policy; land use; power generation; solar energy; solar radiation; China
Abstract:
... Concentrated solar power (CSP) technology can not only match peak demand in power systems but also play an important role in the carbon neutrality pathway worldwide. Actions in China is decisive. Few previous studies have estimated CSP technology’s power generation and CO₂ emission reduction potentials in China. To address this knowledge gap, the geographical, technical, and CO₂ emission reduction ...
DOI:
10.1016/j.apenergy.2022.119045

78. Assessment of two optimisation methods for renewable energy capacity expansion planning

Author:
Felix Keck; Silke Jütte; Manfred Lenzen; Mengyu Li
Source:
Applied energy 2022 v.306 pp. 117988
ISSN:
0306-2619
Subject:
electricity; energy; energy policy; renewable energy sources; Australia
Abstract:
... When deciding on a country’s future energy policy, it is essential to accurately estimate the future generation mix and technology costs, as well as future generation site locations in electricity power grids. This estimate needs to allow for changing levels of demand and increasing levels of renewable energy supply, with both having high fluctuations geographically and temporally. This objective ...
DOI:
10.1016/j.apenergy.2021.117988

79. Asymmetric phenomenon of flow and heat transfer in charging process of thermal energy storage based on an entire domain model

Author:
Xuchen Ying; Weijia Huang; Wenhua Liu; Guiliang Liu; Jun Li; Mo Yang
Source:
Applied energy 2022 v.316 pp. 119122
ISSN:
0306-2619
Subject:
asymmetry; carbon; convection; geometry; liquids; nonlinear models; paraffin wax; temperature; thermal energy
Abstract:
... Phase change energy storage is getting increasing attention as a representative technology to achieve carbon neutrality. The phase change process exists typical phenomenon of asymmetry that affects the energy storage performance. However, the mechanism of asymmetry is currently lack of elaboration because the half domain model is always used to simplify the numerical simulation and avoid the appea ...
DOI:
10.1016/j.apenergy.2022.119122

80. Automatic dimensioning of energy system components for building cluster simulation

Author:
Verena Weiler; Daniel Lust; Marcus Brennenstuhl; Kai-Holger Brassel; Eric Duminil; Ursula Eicker
Source:
Applied energy 2022 v.313 pp. 118651
ISSN:
0306-2619
Subject:
algorithms; case studies; economic sustainability; electricity; energy; fuel cells; heat; heat pumps; hydrogen; tariffs; Germany
Abstract:
... In this paper, we present an approach on automatic energy system modeling and simulation. We develop two different methods to dimension the components of energy systems: one approach is an easy-to-use and to-adapt rule-based method, where the size of components is based e.g. on the heat demand of the buildings. The second approach is to dimension components with a genetic algorithm with a target f ...
DOI:
10.1016/j.apenergy.2022.118651

81. Automatic identification of utilizable rooftop areas in digital surface models for photovoltaics potential assessment

Author:
Mohammad Aslani; Stefan Seipel
Source:
Applied energy 2022 v.306 pp. 118033
ISSN:
0306-2619
Subject:
energy; face; infrastructure; solar energy; spatial data; vegetation
Abstract:
... The considerable potential of rooftop photovoltaics (RPVs) for alleviating the high energy demand of cities has made them a proven technology in local energy networks. Identification of rooftop areas suitable for installing RPVs is of importance for energy planning. Having these suitable areas referred to as utilizable areas greatly assists in a reliable estimate of RPVs energy production. Within ...
DOI:
10.1016/j.apenergy.2021.118033

82. Automatic soiling and partial shading assessment on PV modules through RGB images analysis

Author:
Robinson Cavieres; Rodrigo Barraza; Danilo Estay; José Bilbao; Patricio Valdivia-Lefort
Source:
Applied energy 2022 v.306 pp. 117964
ISSN:
0306-2619
Subject:
algorithms; computer vision; energy; neural networks
Abstract:
... This article presents an artificial neural network tool able to quantify the power loss due to soiling and partial shading effects of solar photovoltaic modules in the field, which may play a key factor on an optimal operation and maintenance of PV systems. The proposed approach uses visible spectrum RGB images of multiple solar panels and environmental data to predict each module’s performance in ...
DOI:
10.1016/j.apenergy.2021.117964

83. Available transfer capability evaluation in electricity-dominated integrated hybrid energy systems with uncertain wind power: An interval optimization solution

Author:
Tao Jiang; Xue Li; Xiao Kou; Rufeng Zhang; Guoda Tian; Fangxing Li
Source:
Applied energy 2022 v.314 pp. 119001
ISSN:
0306-2619
Subject:
electricity; energy; markets; models; natural gas; probability distribution; quantitative analysis; uncertainty; wind power
Abstract:
... Available transfer capability (ATC) is widely used in the deregulated electricity market to ensure secure and reliable power trading among market participants. However, most conventional ATC calculation methods do not fully consider the impacts of renewable energy integration and the close interdependency among electricity, natural gas, and district heating networks. To overcome these challenges, ...
DOI:
10.1016/j.apenergy.2022.119001

84. Balancing GHG mitigation and land-use conflicts: Alternative Northern European energy system scenarios

Author:
Yi-kuang Chen; Jon Gustav Kirkerud; Torjus Folsland Bolkesjø
Source:
Applied energy 2022 v.310 pp. 118557
ISSN:
0306-2619
Subject:
climate; energy; infrastructure; land use; markets; models; nuclear power; pollution control; system optimization; wind
Abstract:
... Long-term power market outlooks suggest a rapid increase in renewable energy deployment as a main solution to greenhouse gas mitigation in the Northern European energy system. However, the consequential area requirement is a non-techno-economic aspect that currently is omitted by many energy system optimization models. This study applies modeling to generate alternatives (MGA) technique to the Bal ...
DOI:
10.1016/j.apenergy.2022.118557

85. Best options for large-scale production of liquid biofuels by value chain modelling: A New Zealand case study

Author:
Ian D Suckling; Ferran de Miguel Mercader; Juan J Monge; Steve J Wakelin; Peter W Hall; Paul J Bennett; Barbara Hock; Nouri J. Samsatli; Sheila Samsatli; Muthasim Fahmy
Source:
Applied energy 2022 pp. 119534
ISSN:
0306-2619
Subject:
biodiesel; bioenergy industry; biomass production; canola; capital; case studies; coproducts; energy; feedstocks; fossil fuels; fuel production; gasoline; infrastructure; land use; lignocellulose; liquids; models; pollution control; pyrolysis; supply chain; New Zealand
Abstract:
... Biofuels are a promising low-carbon replacement for fossil fuels in the transport sector. However, how should a country without an existing biofuel industry, such as New Zealand, go about implementing large-scale production and use of biofuels? We used value chain modelling and optimisation to identify lowest-cost options to replace existing liquid fossil fuels used in New Zealand, and how to make ...
DOI:
10.1016/j.apenergy.2022.119534

86. Black swan event small-sample transfer learning (BEST-L) and its case study on electrical power prediction in COVID-19

Author:
Chenxi Hu; Jun Zhang; Hongxia Yuan; Tianlu Gao; Huaiguang Jiang; Jing Yan; David Wenzhong Gao; Fei-Yue Wang
Source:
Applied energy 2022 v.309 pp. 118458
ISSN:
0306-2619
Subject:
COVID-19 infection; case studies; electric energy consumption; electric power; energy; models; neurons; prediction
Abstract:
... The black swan event will usually cause a great impact on the normal operation of society. The scarcity of such events leads to a lack of relevant data and challenges in dealing with related problems. Different situations also make the traditional methods invalid. In this paper, a transfer learning framework and a convolutional neuron network are proposed to deal with the black swan small-sample e ...
DOI:
10.1016/j.apenergy.2021.118458

87. Blockchain based energy trading scheme for vehicle-to-vehicle using decentralized identifiers

Author:
Myeonghyun Kim; Joonyoung Lee; Jihyeon Oh; Kisung Park; Youngho Park; Kilhoum Park
Source:
Applied energy 2022 v.322 pp. 119445
ISSN:
0306-2619
Subject:
blockchain; electrical equipment; energy; infrastructure
Abstract:
... A blockchain-based energy trading system is a new paradigm of grid infrastructure, which allows that energy purchaser and seller can efficiently exchange the energy through two-way communication. However, because energy trading services are provided through public networks, these systems are vulnerable to potential security breaches. This paper proposed a privacy-preserving blockchain-based energy ...
DOI:
10.1016/j.apenergy.2022.119445

88. Building stock energy modeling considering building system composition and long-term change for climate change mitigation of commercial building stocks

Author:
Yohei Yamaguchi; Bumjoon Kim; Takuya Kitamura; Kotone Akizawa; Hemiao Chen; Yoshiyuki Shimoda
Source:
Applied energy 2022 v.306 pp. 117907
ISSN:
0306-2619
Subject:
carbon dioxide; climate change; electricity; energy conservation; energy efficiency; heat; insulating materials
Abstract:
... A significant improvement in the building stock energy efficiency is imperative to mitigate climate change. Building stock energy models (BSEMs) that employ reference building models are useful for mitigation analysis. However, most existing BSEMs developed for commercial building stock focus on limited building systems and energy conservation measures, and technology deployments are suggested bas ...
DOI:
10.1016/j.apenergy.2021.117907

89. CFD assessment of wind energy potential for generic high-rise buildings in close proximity: Impact of building arrangement and height

Author:
Yu-Hsuan Juan; Abdolrahim Rezaeiha; Hamid Montazeri; Bert Blocken; Chih-Yung Wen; An-Shik Yang
Source:
Applied energy 2022 v.321 pp. 119328
ISSN:
0306-2619
Subject:
energy; models; turbulent flow; urban development; wind power; wind speed; wind turbines
Abstract:
... High-rise building complexes are of great importance for enabling sustainable urban development in large parts of the world. Earlier studies have indicated that high wind speed regions can be present along the passage between two high-rise buildings as well as above the roofs. At such locations, urban wind energy could be harvested by installing wind turbines between and/or above the roof of the b ...
DOI:
10.1016/j.apenergy.2022.119328

90. CO2-negative biomass conversion: An economic route with co-production of green hydrogen and highly porous carbon

Author:
Li Liu; Peng Jiang; Hongliang Qian; Liwen Mu; Xiaohua Lu; Jiahua Zhu
Source:
Applied energy 2022 v.311 pp. 118685
ISSN:
0306-2619
Subject:
activated carbon; biomass; carbon dioxide; energy; flue gas; hydrogen; neutralization; prices; pyrolysis; value added
Abstract:
... The global consensus of carbon neutralization calls for new ideas of CO₂ capture, conversion and utilization, especially CO₂-negative technologies. In this work, a CO₂-negative process was developed to convert three different types of biomass species into valuable products, green hydrogen and activated carbon (AC). Four reaction modules including pyrolysis, activation, flue gas reforming, and chem ...
DOI:
10.1016/j.apenergy.2022.118685

91. Chance-constrained robust co-design optimization for fuel cell hybrid electric trucks

Author:
Qian Xun; Nikolce Murgovski; Yujing Liu
Source:
Applied energy 2022 v.320 pp. 119252
ISSN:
0306-2619
Subject:
batteries; case studies; energy; fuel cells; manufacturing
Abstract:
... The co-design optimization that simultaneously couples embodiment design and control design is widely applied in fuel cell hybrid electric vehicles. However, due to imperfect manufacture process, modeling simplification and uncertain parameters during vehicle operation, the optimal results obtained from a deterministic co-design optimization might not be robust to variations of parameters and opti ...
DOI:
10.1016/j.apenergy.2022.119252

92. Change point detection-based simulation of nonstationary sub-hourly wind time series

Author:
Sakitha Ariyarathne; Harsha Gangammanavar; Raanju R. Sundararajan
Source:
Applied energy 2022 v.310 pp. 118501
ISSN:
0306-2619
Subject:
covariance; economic dispatch; energy; time series analysis; weather forecasting; wind speed
Abstract:
... In this paper, we present a wind speed simulation method by detecting change points in multivariate nonstationary wind speed time series data. The change point detection method identifies changes in the covariance structure and decomposes the nonstationary multivariate time series into stationary segments. Parametric and nonparametric techniques are also provided to model and simulate new time ser ...
DOI:
10.1016/j.apenergy.2021.118501

93. China’s pathways to peak carbon emissions: New insights from various industrial sectors

Author:
Kai Fang; Chenglin Li; Yiqi Tang; Jianjian He; Junnian Song
Source:
Applied energy 2022 v.306 pp. 118039
ISSN:
0306-2619
Subject:
Monte Carlo method; United Nations Framework Convention on Climate Change; carbon; economic development; electricity; energy; environmental Kuznets curve; inventories; regression analysis; transportation; China
Abstract:
... To maintain global warming below 2 °C, as per the Paris Agreement, China should stop its energy-related carbon emissions from increasing by 2030. Given the dominating role of industrial-specific emissions in the national emissions inventory, exploring the potential peaking pathways of emissions in China’s diverse industrial sectors is necessary. By accounting for the emissions from China’s eight s ...
DOI:
10.1016/j.apenergy.2021.118039

94. Combined effects of nanoparticles and ultrasonic field on thermal energy storage performance of phase change materials with metal foam

Author:
Wei Cui; Xiangxuan Li; Xinyi Li; Lin Lu; Ting Ma; Qiuwang Wang
Source:
Applied energy 2022 v.309 pp. 118465
ISSN:
0306-2619
Subject:
acoustics; convection; foams; phase transition; thermal energy; ultrasonics
Abstract:
... To further improve the performance of thermal energy storage (TES) system with phase change materials (PCMs), this paper proposed a novel method, i.e. combining the additions of TiO₂ nanoparticles, metal foam and the provision of ultrasonic field, investigated its synergetic effects in enhancing conduction and convection heat transfer. The thermal characteristics, including the TES time distributi ...
DOI:
10.1016/j.apenergy.2021.118465

95. Combined heat and power economic dispatch using an adaptive cuckoo search with differential evolution mutation

Author:
Qiangda Yang; Peng Liu; Jie Zhang; Ning Dong
Source:
Applied energy 2022 v.307 pp. 118057
ISSN:
0306-2619
Subject:
algorithms; blindness; economic dispatch; energy; heat; mutation; system optimization
Abstract:
... In power system operation, the combined heat and power economic dispatch (CHPED) is an attractive and momentous optimization problem where the major objective is to find an optimal generation schedule of heat and power to meet the heat and power demands with the minimum cost, while satisfying various practical operation constraints. This paper puts forward an adaptive cuckoo search with differenti ...
DOI:
10.1016/j.apenergy.2021.118057

96. Combined heating and cooling networks with part-load efficiency curves: Optimization based on energy hub concept

Author:
Hossein Ahmadisedigh; Louis Gosselin
Source:
Applied energy 2022 v.307 pp. 118245
ISSN:
0306-2619
Subject:
energy; heat; models; natural gas
Abstract:
... The equipment part-load efficiency needs to be considered in the design and control of heating and cooling networks as it strongly affects the overall performance. However, optimization models such as energy hubs usually consider constant efficiencies for their energy convertors, causing potentially erroneous predictions. Even though nonlinear programming and mixed integer linear programming formu ...
DOI:
10.1016/j.apenergy.2021.118245

97. Combining electrochemical and imaging analyses to understand the effect of electrode microstructure and electrolyte properties on redox flow batteries

Author:
Benedict A. Simon; Andrea Gayon-Lombardo; Catalina A. Pino-Muñoz; Charles E. Wood; Kevin M. Tenny; Katharine V. Greco; Samuel J. Cooper; Antoni Forner-Cuenca; Fikile R. Brushett; Anthony R. Kucernak; Nigel P. Brandon
Source:
Applied energy 2022 v.306 pp. 117678
ISSN:
0306-2619
Subject:
X-radiation; acetonitrile; carbon; carbonates; electrochemistry; electrolytes; energy; mass transfer; microstructure; models; permeability; propylene
Abstract:
... Reducing the cost of redox flow batteries (RFBs) is critical to achieving broad commercial deployment of large-scale energy storage systems. This can be addressed in a variety of ways, such as reducing component costs or improving electrode design. The aim of this work is to better understand the relationship between electrode microstructure and performance. Four different commercially available c ...
DOI:
10.1016/j.apenergy.2021.117678

98. Comparative study of alkaline water electrolysis, proton exchange membrane water electrolysis and solid oxide electrolysis through multiphysics modeling

Author:
Kewei Hu; Jiakun Fang; Xiaomeng Ai; Danji Huang; Zhiyao Zhong; Xiaobo Yang; Lei Wang
Source:
Applied energy 2022 v.312 pp. 118788
ISSN:
0306-2619
Subject:
comparative study; electrolysis; energy; mass transfer; models; temperature; thermodynamics
Abstract:
... This paper provides a comparative study of alkaline water electrolysis (AE), proton exchange membrane water electrolysis (PEM) and solid oxide electrolysis cells (SOEC) through multiphysics modeling. A unified multiphysics model for the three types of electrolyzers, considering current density distribution, single-phase and diphasic flow, mass transfer and temperature dependence in the electrolyze ...
DOI:
10.1016/j.apenergy.2022.118788

99. Comparison of net-metering with peer-to-peer models using the grid and electric vehicles for the electricity exchange

Author:
Esteban A. Soto; Lisa B. Bosman; Ebisa Wollega; Walter D. Leon-Salas
Source:
Applied energy 2022 v.310 pp. 118562
ISSN:
0306-2619
Subject:
electricity; energy; models; renewable energy sources
Abstract:
... Along with the exponential growth of distributed energy sources in the last decade, net-metering programs have expanded to encourage investment in renewable energy. However, several countries and some states in the United States are ending these programs. Therefore, it is needed to explore alternatives to net-metering programs to continue encouraging the adoption of renewable energies. In this pap ...
DOI:
10.1016/j.apenergy.2022.118562

100. Comprehensive assessment of energy conservation and CO2 emission reduction in future aluminum supply chain

Author:
Shuoshuo Tian; Yuezhong Di; Min Dai; Weiqiang Chen; Qi Zhang
Source:
Applied energy 2022 v.305 pp. 117796
ISSN:
0306-2619
Subject:
aluminum; carbon dioxide; circular economy; energy conservation; industry; issues and policy; material flow analysis; potential energy; supply chain; China
Abstract:
... Over the past decade, the global aluminum industry has undergone profound changes, particularly as a result of China emerging as a powerhouse production base, accounting for approximately 60% of global smelting capacity by the end of 2018. To explore the potential energy conservation and CO₂ emission reduction of China's aluminum industry during 2010–2050, we developed a comprehensive assessment f ...
DOI:
10.1016/j.apenergy.2021.117796