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A cluster-based appliance-level-of-use demand response program design Appl. Energy (IF 11.2) Pub Date : 2024-03-13 Jiaman Wu, Chenbei Lu, Chenye Wu, Jian Shi, Marta C. Gonzalez, Dan Wang, Zhu Han
The ever-intensifying threat of climate change renders the electric power system undergoing a profound transition toward net-zero emissions. Energy efficiency measures, such as demand response, facilitate the transformation to jointly relieve consumers’ financial burden and improve the operability of the electric power grid, in a carbon-free way. In this paper, we design a cluster-based appliance-level-of-use
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Design optimization on solidification performance of a rotating latent heat thermal energy storage system subject to fluctuating heat source Appl. Energy (IF 11.2) Pub Date : 2024-03-13 Xinyu Huang, Fangfei Li, Junfei Guo, Yuanji Li, Rui Du, Xiaohu Yang, Ya-Ling He
The combination of latent heat storage (LHS) technology with the Organic Rankine Cycle represents a widely recognized solar thermoelectric conversion means. However, this technology is hindered by the instability of solar energy and the poor thermal conductivity of thermal storage materials. This study addresses the challenges posed by solar energy fluctuations by implementing a sinusoidal heat source
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The carbon-energy-water nexus of the carbon capture, utilization, and storage technology deployment schemes: A case study in China's cement industry Appl. Energy (IF 11.2) Pub Date : 2024-03-13 Yihan Wang, Zongguo Wen, Mao Xu, Vorada Kosajan
Carbon capture, utilization, and storage (CCUS) technology plays a crucial role in the transition towards low-carbon emissions in the cement industry. However, it also results in numerous energy and water consumption. To formulate proper CCUS deployment strategies, it is essential to optimize spatial CCUS layouts and examine the carbon-energy-water nexus of the technology. This study combines China's
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Are digital economy and financial structure driving renewable energy technology innovations: A major eight countries perspective Appl. Energy (IF 11.2) Pub Date : 2024-03-13 Chuanwang Sun, Anwar Khan, Juntao Xue, Xiaoyong Huang
This ground-breaking research used simultaneous quantile regression (SQR) to explore the role of the digital economy and financial structure indexes proposed by principal component analysis on renewable energy technology innovations (RETI) for major eight (M-8) countries. Further, the research strengthened analysis by involving the moderating effects of governance and financial structure to seek the
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Optimizing performance for cooling electronic components using innovative heterogeneous materials Appl. Energy (IF 11.2) Pub Date : 2024-03-13 F. Salmon, H. Benisi Ghadim, A. Godin, D. Haillot, A. Veillere, D. Lacanette, M. Duquesne
The relentless advancement of electronic devices has led to increased power densities, resulting in thermal challenges that threaten device reliability. This study aims to address this issue through the development of innovative heterogeneous materials for cooling electronic components. We focus on phase change materials (PCMs) impregnated within architected porous structures fabricated using additive
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Redesign for flexibility through electrification: Multi-objective optimization of the operation of a multi-energy industrial steam network Appl. Energy (IF 11.2) Pub Date : 2024-03-13 Roman Cantu Rodriguez, Emilio J. Palacios-Garcia, Geert Deconinck
Steam networks are attractive for contributing to the decarbonization of energy systems. The partial or complete electrification of steam generators is expected to reduce direct carbon emissions by replacing fossil fuels. Still, this solution poses challenges in the operation of industrial sites. Most studies on the optimization of steam networks focus on single-period problems that disregard the dynamic
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Vision transformer models to measure solar irradiance using sky images in temperate climates Appl. Energy (IF 11.2) Pub Date : 2024-03-13 Thomas M. Mercier, Amin Sabet, Tasmiat Rahman
Solar Irradiance measurements are critical for a broad range of energy systems, including evaluating performance ratios of photovoltaic systems, as well as forecasting power generation. Using sky images to evaluate solar irradiance, allows for a low-cost, low-maintenance, and easy integration into Internet-of-things network, with minimal data loss. This work demonstrates that a vision transformer-based
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Optimal planning for electricity-hydrogen integrated energy system considering multiple timescale operations and representative time-period selection Appl. Energy (IF 11.2) Pub Date : 2024-03-13 Zichen Li, Yanghong Xia, Yaolong Bo, Wei Wei
As the integration of renewable energy sources (RES) progresses and energy technologies advance, integrated energy systems (IES) have emerged as a practical solution for leveraging RES and balancing local demand–supply dynamics. This paper investigates the planning and optimization of operations for an electricity-hydrogen integrated energy system (EH-IES), considering degradation and multi-timescale
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Flat-tube solid oxide stack with high performance for power generation and hydrogen production Appl. Energy (IF 11.2) Pub Date : 2024-03-12 Zhao Liu, Chengtian Wang, Beibei Han, Yafei Tang, Junkang Sang, Jianxin Wang, Jun Yang, Wanbing Guan
This study presents the design, fabrication, and evaluation of a high-performance flat-tube solid oxide cell (FT-SOC) stack, which demonstrates exceptional power generation and hydrogen production capabilities. Comprising three large-sized FT-SOCs, each with an active area of 60 cm, the stack was tested at 750 °C. It achieved a peak power density of 1.222 W/cm in fuel cell (FC) mode and an electrolysis
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Preparation and crystallization behavior of sensitive thermochromic microencapsulated phase change materials Appl. Energy (IF 11.2) Pub Date : 2024-03-12 Wenhui Zhang, Hang Zhang, Shuhui Liu, Xingxiang Zhang, Wei Li
A novel sensitive thermo-chromic microcapsules with inorganic/organic nanoparticles-embedded composite shell was designed and synthesized, and the thermal properties, thermo-chromic performance, crystallization behavior of ethyl myristate (EM) in confined spaces were studied in this paper. As the reaction proceeded, the aminated silica (NH-SiO) nanoparticles modified outer shell in the aqueous phase
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Economic benefits of PHS and Li-ion storage. Study cases: Austria and Bosnia and Herzegovina Appl. Energy (IF 11.2) Pub Date : 2024-03-12 Zejneba Topalović, Reinhard Haas, Marlene Sayer
The operation of energy systems has changed significantly with the increase of intermittent renewable energy sources. New market players that produce, consume, and store electricity- prosumages, along with the different global factors, influence price spreads in the electricity market. This paper gives a comprehensive analysis of the economic viability of two of the currently most cost-effective electricity
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Conduction mechanism analysis and modeling of different gas diffusion layers for PEMFC to improve their bulk conductivities via microstructure design Appl. Energy (IF 11.2) Pub Date : 2024-03-12 Lingfeng Ye, Diankai Qiu, Linfa Peng, Xinmin Lai
Increasing the conductivity of gas diffusion layers (GDLs) is an important way to improve the output performance of polymer electrolyte membrane fuel cells (PEMFCs). However, the complex porous fiber structures of GDLs significantly enhances the difficulty of quantitatively altering their conductivity which is determined by the carbon fibers and the conduction characteristics between fibers. In addition
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A machine learning-based two-stage approach for the location of undesirable facilities in the biomass-to-bioenergy supply chain Appl. Energy (IF 11.2) Pub Date : 2024-03-12 Pinar Yunusoglu, Fehmi Burcin Ozsoydan, Bilge Bilgen
Biomass-to-bioenergy supply chain management is an integral part of the sustainable industrialization of energy conversion through biomass to bioenergy by managing economic, environmental, and social challenges encountered in each supply chain stage. Motivated by a real-world biomass-to-bioenergy supply chain network design (BSCND) problem, this study addresses the location of undesirable facilities
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Multi-sourced data modelling of spatially heterogenous life-cycle carbon mitigation from installed rooftop photovoltaics: A case study in Singapore Appl. Energy (IF 11.2) Pub Date : 2024-03-12 Rui Zhu, Wing Sze Lau, Linlin You, Jinyue Yan, Carlo Ratti, Min Chen, Man Sing Wong, Zheng Qin
Accurately quantifying carbon mitigation of operational photovoltaics (PVs) influenced by dynamic geo-environment is crucial for developing suitable initiatives on renewable energy transition. However, previous studies made strong assumptions to avoid modelling spatial heterogeneity of carbon footprints or ignore weather and shadowing effects on PV electricity generation, making the estimated results
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Network partition and distributed voltage coordination control strategy of active distribution network system considering photovoltaic uncertainty Appl. Energy (IF 11.2) Pub Date : 2024-03-12 Lingzhuochao Meng, Xiyun Yang, Jiang Zhu, Xinzhe Wang, Xin Meng
Aiming at the voltage exceeding problem caused by the introduction of Photovoltaic (PV) in Active distribution network (ADN), a comprehensive electrical distance index was established considering active and reactive voltage sensitivity, and the uncertainty of traditional PV probability density function (PDF) was optimized by random simulation method. The electrical distance expectation matrix between
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Multiple energy price distortions and improvement of potential energy consumption structure in the energy transition Appl. Energy (IF 11.2) Pub Date : 2024-03-11 Liangpeng Wu, Chengzhen Xu, Qingyuan Zhu, Dequn Zhou
Price distortion correction is considered an effective way to improve the energy consumption structure (ECS) in the era of carbon neutrality. However, the quantitative relationship between multiple energy price distortions and ECS has not been verified from the sector's perspective. Taking China's heavy industry as the research sample, we first estimate multiple energy price distortions (including
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Techno-economic assessment of future vanadium flow batteries based on real device/market parameters Appl. Energy (IF 11.2) Pub Date : 2024-03-11 Nicola Poli, Cinzia Bonaldo, Michele Moretto, Massimo Guarnieri
This paper presents a techno-economic model based on experimental and market data able to evaluate the profitability of vanadium flow batteries, which are emerging as a promising technology for specific stationary energy services. Models like this are very informative on the present and perspective competitivity of industrial flow batteries in operating specific services, but they have not yet been
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A bioaugmentation strategy to recover methane production under sulfate-stressed conditions: Highlights on targeted sulfate-reducing bacteria and DIET-related species Appl. Energy (IF 11.2) Pub Date : 2024-03-11 Ginevra Giangeri, Panagiotis Tsapekos, Maria Gaspari, Parisa Ghofrani-Isfahani, Laura Treu, Panagiotis Kougias, Stefano Campanaro, Irini Angelidaki
Bioaugmentation has been recognized as a key strategy to improve the anaerobic digestion efficiency in organic waste treatment. possesses direct interspecies electron transfer capability, a characteristic that allows it to outcompete other unwanted species such as sulfate-reducing bacteria. This study investigated the effects of bioaugmentation with DSM800 on two continuous-stirred tank reactors fed
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The role of outward foreign direct investment as a filter for high energy intensity economies in the European Union Appl. Energy (IF 11.2) Pub Date : 2024-03-11 Gonzalo Hernández Soto
This study examines the effects of outward foreign direct investment (FDI) on energy intensity among the member countries of the European Union between 2000 and 2021. This relationship is deemed important in elucidating whether there is a process of filtering out energy-intensive companies where the use of FDI is employed to lead out production and improve energy intensity in the source country of
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Levelized cost of driving for medium and heavy-duty battery electric trucks Appl. Energy (IF 11.2) Pub Date : 2024-03-10 Mehdi Jahangir Samet, Heikki Liimatainen, Mikko Pihlatie, Oscar Patrick René van Vliet
The total cost of ownership (TCO) of trucks is known as one of the main decision-making factors by logistics operators for adopting alternative powertrains such as battery electric trucks (BETs). In this study, we develop a very detailed levelized cost of driving (LCOD) model to analyse the TCO of BETs and conventional trucks (CTs) in medium and heavy-duty truck weight classes. The model has methodological
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Synergistic interactions between cellulose and plastics (PET, HDPE, and PS) during CO2 gasification-catalytic reforming on Ni/CeO2 nanorod catalyst Appl. Energy (IF 11.2) Pub Date : 2024-03-10 Shiyu Zhang, Xuan Bie, Zheng Qian, Mengna Wu, Kaile Li, Qinghai Li, Yanguo Zhang, Hui Zhou
CO gasification-reforming is a promising approach for the transformation of carbonaceous materials into CO-rich syngas. Within municipal solid waste and agricultural waste streams, plastics are commonly found intermixed with biomass waste. This study delves into the CO gasification-reforming of biomass (cellulose) and various plastics (PET, HDPE, and PS) using a self-built online weighing fixed bed
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A self-adaptive joint optimization framework for marine hybrid energy storage system design considering load fluctuation characteristics Appl. Energy (IF 11.2) Pub Date : 2024-03-10 Jiangfan Huang, Qing An, Mingyu Zhou, Ruoli Tang, Zhengcheng Dong, Jingang Lai, Xin Li, Xiangguo Yang
Recently, with the development of new energy technologies, all-electric ships (AESs) with hybrid energy storage system (HESS) are becoming a promising solution to reduce fuel consumption and emissions. However, the high maneuverability of ships during the actual navigation places higher performance requirements on the HESS, which presents a nonlinear and multi-objective challenge for the HESS design
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Assessing fluctuating wind to hydrogen production via long-term testing of solid oxide electrolysis stacks Appl. Energy (IF 11.2) Pub Date : 2024-03-10 Hua Liu, Jens Høgh, Peter Blennow, Xiufu Sun, Yi Zong, Ming Chen
The Danish government plans two energy islands to collect offshore wind power for power distribution and green fuel production. Wind power is often criticized for lacking stability, which challenges downstream fuel synthesis processes. Solid oxide electrolysis cells (SOEC) are promising for green hydrogen production on a commercial scale, but the impact of fluctuating power on SOEC remains uncertain
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Adapting carbon neutrality: Tailoring advanced emission strategies for developing countries Appl. Energy (IF 11.2) Pub Date : 2024-03-10 Fu Chen, Wanyue Zhang, Run Chen, Feifei Jiang, Jing Ma, Xinhua Zhu
As global concern shifts from developed countries—many of which have made significant strides towards carbon neutrality—to developing nations, an urgent need arises: how can the latter effectively borrow and adapt strategies that have proven successful in the former? This review thoroughly explores the successes and challenges encountered by developed countries in terms of emission accounting, mitigation
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The local lithium plating caused by anode crack defect in Li-ion battery Appl. Energy (IF 11.2) Pub Date : 2024-03-09 Yuebo Yuan, Hewu Wang, Xuebing Han, Yue Pan, Yukun Sun, Xiangdong Kong, Languang Lu, Minggao Ouyang
Anode cracks are typical defects in Li-ion batteries, which lead to local lithium plating in the defect region. To avoid lithium plating, it is necessary to study the evolution mechanism, lithium plating condition, parameter sensitivity, and safety boundaries of defects. In this study, an artificial defect was implanted on the anode surface, and the appearance characteristic of dead lithium was observed
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Synthesis and characterization of two-faced brush-like MXene anchored NiCo-LDH electrode for high-performance supercapacitors Appl. Energy (IF 11.2) Pub Date : 2024-03-09 Miao Sun, Yanan Wang, Jaka Sunarso, Xiuxia Meng, Weimin Zhang, Jun Cao, Naitao Yang
Layered nickel‑cobalt double hydroxide (NiCo-LDH) with a high theoretical charge storage capacity has great potential to be used as a supercapacitor (SC) electrode. However, its low electronic conductivity, low stability, and aggregation tendency has been recognized as the main drawbacks. Herein, solvent-induced interfacial-confined process was used to synthesize an unusual brush-like heterostructure
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Experimental performance comparison of 0.72 eV-GaSb and 0.59 eV-InGaAs thermophotovoltaic cells under different radiation temperatures Appl. Energy (IF 11.2) Pub Date : 2024-03-08 Yonghui Liu, Liangliang Tang, Jianxiong Shao, Yili Tang, Jiapeng Li, Xiaoyu Lv, Yuan Yuan
The field of Thermophotovoltaic (TPV) has recently exhibited highly promising characteristics. The performance of thermophotovoltaic (TPV) cells with 0.72 eV-GaSb and 0.59 eV-InGaAs varies at different radiation temperatures, as demonstrated in this experimental study. The research evaluates and compares the TPV cell performance under radiation temperatures ranging from 800 to 1200 °C, and analyses
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Numerical and experimental study on mass transfer and performance of proton exchange membrane fuel cell with a gradient 3D flow field Appl. Energy (IF 11.2) Pub Date : 2024-03-07 Yonghua Cai, Xiaomu Liu, Fan Wei, Zixian Luo, Ben Chen
The design of the fuel cell cathode flow field affects its internal heat and mass transfer, thus influencing the fuel cell performance. Building on previous research on 3D flow fields, this study analyzes the impact of the ratio of the main and sub channels width, the ratio of the main/sub channel length to the transition region width on mass transfer and performance. The study proposes a 3D flow field
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Weakly-semi supervised extraction of rooftop photovoltaics from high-resolution images based on segment anything model and class activation map Appl. Energy (IF 11.2) Pub Date : 2024-03-07 Ruiqing Yang, Guojin He, Ranyu Yin, Guizhou Wang, Zhaoming Zhang, Tengfei Long, Yan Peng
Accurate extraction of rooftop photovoltaic from high-resolution remote sensing imagery is pivotal for propelling green energy planning and development. Conventional deep learning techniques often require labor-intensive pixel-level annotations, presenting substantial limitations. To overcome this hurdle, we introduce an innovative weakly-semi supervised segmentation framework that strategically employs
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A high-performance intermediate temperature reversible solid oxide cell with a new barrier layer free oxygen electrode Appl. Energy (IF 11.2) Pub Date : 2024-03-07 Kai Zhao, Jiaxin Lu, Long Le, Chris Coyle, Olga A. Marina, Kevin Huang
The best solution to address the critical durability issue of solid oxide electrolytic cells (SOECs) for high-efficiency and high-rate H production is to lower the operating temperature without sacrificing the performance. Developing high performance oxygen electrodes (OEs) is a key to capitalizing this solution. Here we report on a highly active OE for intermediate temperature ZrO-based SOECs without
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Methodology for the estimation of cultivable space in photovoltaic installations with dual-axis trackers for their reconversion to agrivoltaic plants Appl. Energy (IF 11.2) Pub Date : 2024-03-07 M. Varo-Martínez, L.M. Fernández-Ahumada, J.C. Ramírez-Faz, R. Ruiz-Jiménez, R. López-Luque
Agrivoltaics or dual use of land for agricultural production systems and photovoltaic energy is experiencing a significant boom since it favours the sustainability and efficiency of both systems, while helping to alleviate the conflict over land use and protecting rural economies. In this context, it is essential to study possible combinations between photovoltaic installations and agricultural operations
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Optimal battery based electrical reconfiguration technique for partial shaded PV system Appl. Energy (IF 11.2) Pub Date : 2024-03-07 Aravind P, Prince Winston D, Sugumar S, Pravin M
In tackling the challenges associated with partial shading scenarios in solar photovoltaic (PV) arrays, this study introduces a groundbreaking approach to dynamic reconfiguration: the Optimal Battery-based Electrical Reconfiguration (OBER). Unlike conventional methods like the Couple Matching (CM) algorithm, OBER directly addresses the impact of shading on PV performance. By strategically connecting
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SHAPE: A temporal optimization model for residential buildings retrofit to discuss policy objectives Appl. Energy (IF 11.2) Pub Date : 2024-03-07 Rit Martin, Thomas Arthur, Villot Jonathan, Thorel Mathieu, Garreau Enora, Girard Robin
In a context of massive renovation of residential buildings, stakeholders need decision-support models based on knowledge of the current building stock and accurate simulation of energy demand. This paper presents a new strategy for reducing energy consumption in the building sector, a key factor in combating climate change and promoting sustainability. We introduce an approach to (1) plan retrofits
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Decarbonization of heat pump dual fuel systems using a practical model predictive control: Field demonstration in a small commercial building Appl. Energy (IF 11.2) Pub Date : 2024-03-07 Sang woo Ham, Lazlo Paul, Donghun Kim, Marco Pritoni, Richard Brown, Jingjuan(Dove) Feng
In the transition from fossil fuel to electrified heating, a concerning trend is emerging in certain regions of the US. Owners of buildings with gas-based systems leave them in place after adding heat pumps (HPs). Existing control solutions for these hybrid (dual fuel) systems are rudimentary and fall short of realizing the full carbon reduction potential of these systems. Model predictive control
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A decentralized approach for time-of-use network utilization pricing in peer-to-peer energy markets Appl. Energy (IF 11.2) Pub Date : 2024-03-07 Yun Liu, Yunqiang Gao, Alberto Borghetti, Yuanzheng Li, Hoay Beng Gooi, Chao Sun, Ting Wu, Jizhong Zhu
In an established peer-to-peer (P2P) energy market, network utilization fees should be charged by the distribution network service provider (DNSP) to sustain the operation and maintenance of active distribution networks. However, the understanding on how to rationally determine appropriate network utilization prices (NUPs) that are sufficient for the development of the power distribution infrastructure
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An optimal solutions-guided deep reinforcement learning approach for online energy storage control Appl. Energy (IF 11.2) Pub Date : 2024-03-07 Gaoyuan Xu, Jian Shi, Jiaman Wu, Chenbei Lu, Chenye Wu, Dan Wang, Zhu Han
As renewable energy becomes more prevalent in the power grid, energy storage systems (ESSs) are playing an ever-increasingly crucial role in mitigating short-term supply–demand imbalances. However, the operation and control of ESS are not straightforward, given the ever-changing electricity prices in the market environment and the stochastic and intermittent nature of renewable energy generations,
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Rethinking electric vehicle smart charging and greenhouse gas emissions: Renewable energy growth, fuel switching, and efficiency improvement Appl. Energy (IF 11.2) Pub Date : 2024-03-07 Zewei Zhong, Wuyang Hu, Xiaoli Zhao
Global climate change and transportation electrification have propelled research on electric vehicles (EVs) and their impact on greenhouse gas (GHG) emissions. However, the effect of switching from uncontrolled to smart charging on EVs' GHG emissions has been a controversial topic in previous studies because several opposing effects of smart charging on emissions exist. We construct a stylized model
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PiezoTensorNet: Crystallography informed multi-scale hierarchical machine learning model for rapid piezoelectric performance finetuning Appl. Energy (IF 11.2) Pub Date : 2024-03-07 Sachin Poudel, Rubi Thapa, Rabin Basnet, Anna Timofiejczuk, Anil Kunwar
Piezoelectric devices offer numerous opportunities for sustainable harvesting of wasted mechanical energy, leading to a significant interest in data-driven research on these materials. This study presents the design of PiezoTensorNet, a comprehensive framework that encompasses a hierarchical classification neural network for crystal point group determination and modular ensembles of regression-based
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Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data Appl. Energy (IF 11.2) Pub Date : 2024-03-06 Maneesha Perera, Julian De Hoog, Kasun Bandara, Damith Senanayake, Saman Halgamuge
Regional solar power forecasting, which involves predicting the total power generation from all rooftop photovoltaic (PV) systems in a region holds significant importance for various stakeholders in the energy sector to ensure a stable electricity supply. However, the vast amount of solar power generation and weather time series from geographically dispersed locations that need to be considered in
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A machine learning-based framework for clustering residential electricity load profiles to enhance demand response programs Appl. Energy (IF 11.2) Pub Date : 2024-03-06 Vasilis Michalakopoulos, Elissaios Sarmas, Ioannis Papias, Panagiotis Skaloumpakas, Vangelis Marinakis, Haris Doukas
Load shapes derived from smart meter data are frequently employed to analyze daily energy consumption patterns, particularly in the context of applications like Demand Response (DR). Nevertheless, one of the most important challenges to this endeavor lies in identifying the most suitable consumer clusters with similar consumption behaviors. In this paper, we present a novel machine learning based framework
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Optimization of the natural gas hydrate hot water injection production method: Insights from numerical and phase equilibrium analysis Appl. Energy (IF 11.2) Pub Date : 2024-03-06 Zhaobin Zhang, Yuxuan Li, Shouding Li, Jianming He, Xiao Li, Tao Xu, Cheng Lu, Xuwen Qin
The heat injection during depressurization is a crucial technique for sustaining the long-term gas production rate of natural gas hydrate. To analyze the production patterns and mechanisms of hydrate dissociation under various heat injection conditions and to further optimize heat injection strategies, this study establishes a reservoir-scale three-dimensional heterogeneous computational model using
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Analysis on a single-stage direct-coupled thermoacoustic refrigerator driven by low/medium-grade heat Appl. Energy (IF 11.2) Pub Date : 2024-03-06 Yiwei Hu, Jingyuan Xu, Dan Zhao, Rui Yang, Jianying Hu, Ercang Luo
Cooling for domestic applications using low/medium-grade heat sources is essential to reduce CO emissions and promote environmental friendliness. Thermoacoustic technology is quite promising to meet such demand. This paper proposes a compact and highly efficient single-stage thermoacoustic refrigerator for utilizing low/medium-grade heat source. It is different from conventional design by containing
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A novel approach of energy and reserve scheduling for hybrid power systems: Frequency security constraints Appl. Energy (IF 11.2) Pub Date : 2024-03-06 Tengxi Zhang, Li Xin, Shunjiang Wang, Ren Guo, Wentao Wang, Jia Cui, Peng Wang
The increasing incorporation of solar and wind energy sources into the power system results in a diminishing power system inertia, which compromises the security of power system operation. This paper introduces a new scheduling method for hybrid power systems (HyPS), focusing on frequency security. It considers the time-varying characteristics related to frequency security requirements and the interdependence
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Equilibrium configuration strategy of vehicle-to-grid-based electric vehicle charging stations in low-carbon resilient distribution networks Appl. Energy (IF 11.2) Pub Date : 2024-03-06 Zhaoqi Wang, Lu Zhang, Wei Tang, Ziyao Ma, Jiajin Huang
Distribution networks (DNs) are under severe requirements of security and ecology, such as maintaining continuous power supply for critical loads under extreme disasters and contributing to the carbon neutrality by 2060. However, the investment of infrastructures in DNs, such as electric vehicle charging stations (EVCSs), are hardly balanced as a result of the coupled relationship between the resilience
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IOT based energy management in smart grid under price based demand response based on hybrid FHO-RERNN approach Appl. Energy (IF 11.2) Pub Date : 2024-03-05 C. Balasubramanian, R. Lal Raja Singh
This manuscript presents a hybrid technique for IOT Based Energy Management (EM) in smart grid (SG) under-price based demand response (DR). The proposed method integrates the fire hawk optimizer (FHO) and Recalling Enhanced Recurrent Neural Network (RERNN), commonly called the FHO-RERNN method. The major goal of this research is to continuously monitor data from IoT-based communication architecture
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Techno-economic and environmental analyses of hybrid renewable energy systems for a remote location employing machine learning models Appl. Energy (IF 11.2) Pub Date : 2024-03-05 Dibyendu Roy, Shunmin Zhu, Ruiqi Wang, Pradip Mondal, Janie Ling-Chin, Anthony Paul Roskilly
This article offers a detailed investigation into the technical, economic along with environmental performance of four configurations of hybrid renewable energy systems (HRESs), aiming at supplying renewable electricity to a remote location, Henry Island in India. The study explores combinations involving photovoltaic (PV) panels, wind turbines, biogas generators, batteries, and converters, while evaluating
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A compact time horizon compression method for planning community integrated energy systems with long-term energy storage Appl. Energy (IF 11.2) Pub Date : 2024-03-05 Zijian Lei, Hao Yu, Peng Li, Haoran Ji, Jinyue Yan, Guanyu Song, Chengshan Wang
Long-term energy storage (LTES), such as hydrogen storage, has attracted significant attention due to its outstanding performance in storing energy over extended durations and seasonal balancing of power generation and consumption. However, planning for LTES usually necessitates the comprehensive coverage of its whole operation cycle, spanning from days to months, making the issue complex and intractable
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Digital inclusion and environmental taxes: A dynamic duo for energy transition in green economies Appl. Energy (IF 11.2) Pub Date : 2024-03-04 Sami Ullah, Ben Niu, Muhammad Saeed Meo
Transitioning to sustainable energy is a global imperative for countries to develop policies to achieve Sustainable Development Goals (SDGs), particularly SDG 7 and 13. Given the possible association between digital inclusion (DIGI) and the energy transition (EGTN), we examined the impact of DIGI on the EGTN while controlling for environmental taxes (ENTX) in the top-5 greenest economies in the world
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Factors influencing the willingness to use agrivoltaics: A quantitative study among German farmers Appl. Energy (IF 11.2) Pub Date : 2024-03-04 Johanna Wagner, Charlotte Bühner, Sebastian Gölz, Max Trommsdorff, Kristin Jürkenbeck
As a combination of agricultural production and solar energy generation, agrivoltaics helps to mitigate land use conflicts. However, this requires the willingness of farmers to adopt the technology, as without them the dissemination of agrivoltaics is not possible. Therefore, the aim of this research was to investigate farmers' willingness to use agrivoltaics. An online survey among German farmers
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A framework for prosumer-centric peer-to-peer energy trading using network-secure export–import limits Appl. Energy (IF 11.2) Pub Date : 2024-03-04 Md Murshadul Hoque, Mohsen Khorasany, M. Imran Azim, Reza Razzaghi, Mahdi Jalili
This paper presents a new prosumer-centric peer-to-peer (P2P) energy trading framework incorporating the network-secure export–import limits, known as dynamic operating envelope (DOE), for prosumers considering their preferences to trade in the local market. In the proposed framework, a DOE-integrated energy management algorithm is developed for prosumers considering electric vehicles (EVs) charge–discharge
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Automated detection and diagnosis of leak fault considering volatility by graph deep probability learning Appl. Energy (IF 11.2) Pub Date : 2024-03-03 Jihao Shi, Xinqi Zhang, Haoran Zhang, Qiliang Wang, Jinyue Yan, Linda Xiao
Leak fault significantly affects the reliable and sustainable green hydrogen energy supply by renewable Power-to-Hydrogen (P2H2) system. Deep learning has been widely applied to automated leak fault detection and diagnosis of hydrogen systems. However, due to the intermittency of wind/solar-power-generation, existing approaches developed by monitored signals have the bad generalization to leak scenario
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Optimized controllers for stabilizing the frequency changes in hybrid wind-photovoltaic-wave energy-based maritime microgrid systems Appl. Energy (IF 11.2) Pub Date : 2024-03-03 K. Peddakapu, M.R. Mohamed, P. Srinivasarao, J. Licari
Reducing the dependence on traditional energy sources and shifting towards the utilization of renewable energy sources (RES) of energy in the maritime sector is imperative for reducing greenhouse gas emissions. Inherently, RES sources like solar and wind are intermittent and variable, resulting in inconsistent power availability and hence leading to energy supply fluctuations and potential shortages
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Dynamic partitioning method for independent energy storage zones participating in peak modulation and frequency modulation under the auxiliary service market Appl. Energy (IF 11.2) Pub Date : 2024-03-02 Junhui Li, Jingxiang Zhang, Gang Mu, Cuiping Li, Gangui Yan, Xingxu Zhu, Chen Jia
With the increasing installed capacity of energy storage and the rapid accelerating process of electricity marketization, grid-side independent energy storage are beginning to generate profit by participating in the ancillary service market and reducing the strain on the grid. Although energy storage are currently involved in only one auxiliary service, their low utilization and low revenue can make
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Analysis of large-scale energy retrofit of residential buildings and their impact on the electricity grid using a validated UBEM Appl. Energy (IF 11.2) Pub Date : 2024-03-02 F. Johari, O. Lindberg, U.H. Ramadhani, F. Shadram, J. Munkhammar, J. Widén
To evaluate the effects of different energy retrofit scenarios on the residential building sector, in this study, an urban building energy model (UBEM) was developed from open data, calibrated using energy performance certificates (EPCs), and validated against hourly electricity use measurement data. The calibrated and validated UBEM was used for implementing energy retrofit scenarios and improving
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Near-infrared photoelectrochromic device with graphene quantum dot modified WO3 thin film toward fast-response thermal management for self-powered Agrivoltaics Appl. Energy (IF 11.2) Pub Date : 2024-03-02 Ling-Yu Chang, Ching-Cheng Chang, Mia Rinawati, Yu-Hsin Chang, Yao-Sheng Cheng, Kuo-Chuan Ho, Chia-Chin Chen, Chia-Her Lin, Chia-Hsin Wang, Min-Hsin Yeh
Agrivoltaic system is the use of land for both photovoltaic energy production through the installation of solar panels and for pastoral and crop cultivation. This work has proposed an idea of introducing a near-infrared photoelectrochromic device (NIR-PECD) into the agrivoltaic system for realizing the self-powered thermal management, revealing the temperature control for a greenhouse without external
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CO2 utilization and sequestration in organic-rich shale from the nanoscale perspective Appl. Energy (IF 11.2) Pub Date : 2024-03-01 Siwei Meng, Chen Liu, Yueliang Liu, Zhenhua Rui, He Liu, Xu Jin, Jiaping Tao
As the main components of shale gas, the adsorption behavior of CH and n-CH in organic matter is of great significance to the recovery of shale gas. In this work, organic matter is selected as the object, and different types and scales of kerogen slit nanopore models are constructed based on the improved diamond-filling method. Moreover, the adsorption behaviors of CH/CO and n-CH/CO mixture with organic
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Exploring the interdependence of climate, finance, energy, and geopolitics: A conceptual framework for systemic risks amidst multiple crises Appl. Energy (IF 11.2) Pub Date : 2024-03-01 Franziska M. Hoffart, Paola D'Orazio, Franziska Holz, Claudia Kemfert
Navigating the transition toward a zero-emission and just future amidst multiple crises requires a nuanced understanding of potential hindrances to investments and energy transitions. As current approaches hardly consider the big picture of interacting crises, this study offers a framework to analyze the dynamics and risk channels between 1) the climate crisis, 2) financial (in)stability, 3) the geopolitical
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Adaptive hybrid cooling strategy to mitigate battery thermal runaway considering natural convection in phase change material Appl. Energy (IF 11.2) Pub Date : 2024-03-01 Pan Luo, Kai Gao, Lin Hu, Bin Chen, Yuanjian Zhang
The use of a hybrid cooling system, which combines phase change material (PCM) and liquid channels, has been extensively researched to mitigate the risk of battery thermal runaway. However, the existing studies on hybrid cooling systems have overlooked the impact of buoyancy-driven natural convection in PCM. This results in a uniform flow rate allocation among liquid channels, leading to inadequate
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Life-extending optimal charging for lithium-ion batteries based on a multi-physics model and model predictive control Appl. Energy (IF 11.2) Pub Date : 2024-03-01 Boru Zhou, Guodong Fan, Yansong Wang, Yisheng Liu, Shun Chen, Ziqiang Sun, Chengwen Meng, Jufeng Yang, Xi Zhang
Recently, battery fast charging strategies have gained increasing interest as range anxiety and long charging time have been the main obstacles to the wider application of electric vehicles. While simply increasing the current can reduce charging time, it might also tend to accelerate the irreversible capacity degradation and power fade. To solve the dilemma between charging speed and battery lifetime