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Michela Costa^1,*, Adolfo Palombo², Andrea Ricci², Ugo Sorge³
Energy Engineering, Vol.122, No.5, pp. 1629-1643, 2025, DOI:10.32604/ee.2025.062613 - 25 April 2025
（This article belongs to the Special Issue: Selected Papers from the SDEWES 2024 Conference on Sustainable Development of Energy, Water and Environment Systems)
Abstract Effective thermal management is paramount for successfully deploying lithium-ion batteries in residential settings as storage systems for the exploitation of renewable sources. Uncontrolled temperature increases within battery packs can lead to critical issues such as cell overheating, potentially culminating in thermal runaway events and, in extreme cases, leading to fire or explosions. This work presents a comprehensive numerical thermal model of a battery pack made of prototype pouch cells based on lithium ferrophosphate (LFP) chemistry. The multi-physical model is specifically developed to investigate real-world operating scenarios and to assess safety considerations. The considered energy storage… More >

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Xingxu Zhu¹, Guiqing Zhao¹, Gangui Yan¹, Junhui Li^1,*, Hongda Dong², Chenggang Li²
Energy Engineering, Vol.122, No.5, pp. 1645-1668, 2025, DOI:10.32604/ee.2025.063192 - 25 April 2025
Abstract The participation of wind farms in the former energy market faces challenges such as power fluctuations and energy storage construction costs. To this end, this paper proposes a joint energy storage operation scheme for multiple wind farms based on a leasing model, which assists wind farms in bidding for participation in the former energy market through leasing services, thereby enhancing energy storage efficiency and maximizing economic benefits. In this paper, based on the Weibull probability distribution to portray the uncertainty of wind power, and considering the lifetime capacity loss caused by charging and discharging of… More >

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Danijel Pavković^*, Pietro Kristović, Mihael Cipek, Dragutin Lisjak
Energy Engineering, Vol.122, No.5, pp. 1669-1696, 2025, DOI:10.32604/ee.2025.061916 - 25 April 2025
（This article belongs to the Special Issue: Selected Papers from the SDEWES 2024 Conference on Sustainable Development of Energy, Water and Environment Systems)
Abstract In deep drilling applications, such as those for geothermal energy, there are many challenges, such as those related to efficient operation of the drilling fluid (mud) pumping system. Legacy drilling rigs often use paired, parallel-connected independent-excitation direct-current (DC) motors for mud pumps, that are supplied by a single power converter. This configuration results in electrical power imbalance, thus reducing its efficiency. This paper investigates this power imbalance issue in such legacy DC mud pump drive systems and offers an innovative solution in the form of a closed-loop control system for electrical load balancing. The paper… More >

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Wei Yang¹, Weicong Tan¹, Zhijian Zeng¹, Ren Li¹, Jie Qin¹, Yuting Xie¹, Yongjun Zhang², Runting Cheng², Dongliang Xiao^2,*
Energy Engineering, Vol.122, No.5, pp. 1697-1713, 2025, DOI:10.32604/ee.2025.060571 - 25 April 2025
Abstract The rapid development of electricity retail market has prompted an increasing number of electricity consumers to sign green electricity contracts with retail electricity companies, which poses greater challenges for the market service for green energy consumers. This study proposed a two-stage feature extraction approach for green energy consumers leveraging clustering and term frequency-inverse document frequency (TF–IDF) algorithms within a knowledge graph framework to provide an information basis that supports the green development of the retail electricity market. First, the multi-source heterogeneous data of green energy consumers under an actual market environment is systematically introduced and… More >

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Antonio Sassone^1,*, Shoaib Ahmed¹, Alessandro Ciocia², Gabriele Malgaroli², Antonio D’Angola^1,*
Energy Engineering, Vol.122, No.5, pp. 1715-1733, 2025, DOI:10.32604/ee.2025.058781 - 25 April 2025
Abstract The expansion of renewable energy sources (RESs) in European Union countries has given rise to the development of Renewable Energy Communities (RECs), which are made up of locally generated energy by these RESs controlled by individuals, businesses, enterprises, and public administrations. There are several advantages for creating these RECs and participating in them, which include social, environmental, and financial. Nonetheless, according to the Renewable Energy Directive (RED II), the idea of RECs has given opportunities for researchers to investigate the behavior from all aspects. These RECs are characterized by energy fluxes corresponding to self-consumption, energy… More >

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Yongfu Liu¹, Haitao Zhao¹, Xingliang Deng¹, Baozhu Guan¹, Jing Li^2,*, Chengqiang Yang², Guipeng Huang²
Energy Engineering, Vol.122, No.5, pp. 1735-1754, 2025, DOI:10.32604/ee.2025.063706 - 25 April 2025
（This article belongs to the Special Issue: Selected Papers from the SDEWES 2024 Conference on Sustainable Development of Energy, Water and Environment Systems)
Abstract The seepage characteristics of shale reservoirs are influenced not only by multi-field coupling effects such as stress field, temperature field, and seepage field but also exhibit evident creep characteristics during oil and gas exploitation. The complex fluid flow in such reservoirs is analyzed using a combination of theoretical modeling and numerical simulation. This study develops a comprehensive mathematical model that integrates the impact of creep on the seepage process, with consideration of factors including stress, strain, and time-dependent deformation. The model is validated through a series of numerical experiments, which demonstrate the significant influence of… More >

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Steffen Schedler^1,*, Michael Bareev-Rudy¹, Stefanie Meilinger², Tanja Clees^1,3
Energy Engineering, Vol.122, No.5, pp. 1755-1770, 2025, DOI:10.32604/ee.2025.061962 - 25 April 2025
（This article belongs to the Special Issue: Selected Papers from the SDEWES 2024 Conference on Sustainable Development of Energy, Water and Environment Systems)
Abstract Germany aims to achieve a national climate-neutral energy system by 2045. The residential sector still accounts for 29% of end energy consumption, with 74% attributed to the direct use of fossil fuels for heating and hot water. In order to reduce fossil energy use in the household sector, great efforts are being made to design new energy concepts that expand the use of renewable energies to supply electricity and heat. One possibility is to convert parts of the natural gas grid to a hydrogen-based gas grid to deliver and store energy for urban quarters of… More >

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Linlan Chang¹, Win-Jet Luo^1,2, Indra Permana², Bowo Yuli Prasetyo³, Alya Penta Agharid¹, Fujen Wang^2,*
Energy Engineering, Vol.122, No.5, pp. 1771-1787, 2025, DOI:10.32604/ee.2025.062209 - 25 April 2025
Abstract Heating, Ventilation, and Air Conditioning (HVAC) systems are critical for maintaining thermal comfort in office environments which also crucial for occupant well-being and productivity. This study investigates the impact of integrating ceiling fans with higher air conditioning setpoints on thermal comfort and energy efficiency in office environments. Field measurements and questionnaire surveys were conducted to evaluate thermal comfort and energy-saving potential under varying conditions. Results show that increasing the AC setpoint from 25°C to 27°C, combined with ceiling fan operation, reduced power consumption by 10%, achieving significant energy savings. Survey data confirmed that 85% of… More >

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103

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Perry Yang Tchie Hunn¹, Hadi Nabipour Afrouzi^2,*
Energy Engineering, Vol.122, No.5, pp. 1789-1804, 2025, DOI:10.32604/ee.2025.060124 - 25 April 2025
Abstract With growing interest in its potential applications across both stationary and transportation sectors, hydrogen has emerged as a promising alternative for environmentally responsible power generation. By replacing traditional fuels, hydrogen can significantly reduce greenhouse gas emissions in the transportation sector. This study focuses on the design and downsizing of a green hydrogen fuel cell car, aiming to scale the concept for larger vehicles. Key components, including fuel cells, electrolysers, and solar panels, were evaluated through extensive laboratory testing. The findings reveal that variations in sunlight impact the solar panel’s hydrogen production rate, with differences of… More >

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Chenyang Fu^*, Xinghua Wang, Zilv Li, Xixian Liu, Xiongfei Zhang, Zhuoli Zhao
Energy Engineering, Vol.122, No.5, pp. 1805-1821, 2025, DOI:10.32604/ee.2025.061172 - 25 April 2025
Abstract With the large-scale promotion of distributed photovoltaics, new challenges have emerged in the photovoltaic consumption within distribution networks. Traditional photovoltaic consumption schemes have primarily focused on static analysis. However, as the scale of photovoltaic power generation devices grows and the methods of integration diversify, a single consumption scheme is no longer sufficient to meet the actual needs of current distribution networks. Therefore, this paper proposes an optimal evaluation method for photovoltaic consumption schemes based on BASS model predictions of installed capacity, aiming to provide an effective tool for generating and evaluating photovoltaic consumption schemes in… More >

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Yining Zhou¹, Yufeng Li², Chen Zhang², Tao Wu¹, Jingru Zhang², Bowen Yun², Rui Tan², Wei Yan^2,*
Energy Engineering, Vol.122, No.5, pp. 1823-1837, 2025, DOI:10.32604/ee.2025.062199 - 25 April 2025
Abstract This study investigated the micro-sliding frictional behavior of shale in fracturing fluids under varying operational conditions using Chang 7 shale oil reservoir core samples. Through systematic micro-sliding friction experiments, the characteristics and governing mechanisms of shale friction were elucidated. Complementary analyses were conducted to characterize the mineral composition, petrophysical properties, and micromorphology of the shale samples, providing insights into the relationship between microscopic structure and frictional response. In this paper, the characteristics and variation law of shale micro-sliding friction under different types of graphite materials as additives in LGF-80 (Low-damage Guar Fluid) oil flooding recoverable… More >

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Jacob Manyuon Deng^1,*, Cyrus Wabuge Wekesa², Khan Jean De Dieu Hakizimana¹, Joseph Nzabahimana³
Energy Engineering, Vol.122, No.5, pp. 1839-1862, 2025, DOI:10.32604/ee.2025.063398 - 25 April 2025
Abstract Energy access remains a critical challenge in rural South Sudan, with communities heavily relying on expensive and unfriendly environmental energy sources such as diesel generators and biomass. This study addresses the predicament by evaluating the feasibility of renewable energy-based decentralized electrification in the selected village of Doleib Hill, Upper Nile, South Sudan. Using a demand assessment and the Multi-Tier Framework (MTF) approach, it categorizes households, public facilities, private sector, Non-Governmental Organizations (NGOs) and business energy needs and designs an optimized hybrid energy system incorporating solar Photovoltaic (PV), wind turbines, batteries, and a generator. The proposed… More >

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Yong Sun¹, Haifeng Zhang^1,2, Xiaozhe Song¹, Yifu Zhang^1,2, Song Gao^1,2, Jiayang Zhang^3,*
Energy Engineering, Vol.122, No.5, pp. 1863-1885, 2025, DOI:10.32604/ee.2025.061940 - 25 April 2025
（This article belongs to the Special Issue: AI-application in Wind Energy Development and Utilization)
Abstract Aiming at the problems of large fluctuation of output active power and poor control performance in the process of frequency support of an energy-storage-type static-var-generator (ESVG), the adaptive adjustment control method for its active-loop parameters is used to realize the wind-farm frequency support, which has become the current research hotspot. Taking the ESVG with a supercapacitor on the DC side as the research object, the influence trend of the change of virtual rotation inertia and virtual damping coefficient on its virtual angular velocity and power angle is analyzed. Then, the constraint relationship between the equivalent… More >

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Arpita Johri^1,2,*, Varnita Verma³, Mainak Basu^1,*
Energy Engineering, Vol.122, No.5, pp. 1887-1918, 2025, DOI:10.32604/ee.2025.062355 - 25 April 2025
（This article belongs to the Special Issue: Innovative Approaches in Clean Energy Systems: Integration, Sustainability, and Policy Impact of Renewable Energy)
Abstract The globe faces an urgent need to close the energy demand-supply gap. Addressing this difficulty requires constructing a Hybrid Renewable Energy System (HRES), which has proven to be the most appropriate solution. HRES allows for integrating two or more renewable energy resources, successfully addressing the issue of intermittent availability of non-conventional energy resources. Optimization is critical for improving the HRES’s performance parameters during implementation. This study focuses on HRES using solar and biomass as renewable energy supplies and appropriate energy storage technologies. However, energy fluctuations present a problem with the power quality of HRES. To… More >

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Zhiyuan Zhang¹, Yongjun Wu¹, Xiqin Li¹, Minghui Song¹, Guangwu Zhang², Ziren Wang^3,*, Wei Li³
Energy Engineering, Vol.122, No.5, pp. 1919-1948, 2025, DOI:10.32604/ee.2025.063178 - 25 April 2025
Abstract The park-level integrated energy system (PIES) is essential for achieving carbon neutrality by managing multi-energy supply and demand while enhancing renewable energy integration. However, current carbon trading mechanisms lack sufficient incentives for emission reductions, and traditional optimization algorithms often face challenges with convergence and local optima in complex PIES scheduling. To address these issues, this paper introduces a low-carbon dispatch strategy that combines a reward-penalty tiered carbon trading model with P2G-CCS integration, hydrogen utilization, and the Secretary Bird Optimization Algorithm (SBOA). Key innovations include: (1) A dynamic reward-penalty carbon trading mechanism with coefficients (μ = 0.2,… More >

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Huang Tan¹, Haibo Yu¹, Tianyang Chen¹, Hanjun Deng², Yetong Hu^3,*
Energy Engineering, Vol.122, No.5, pp. 1949-1973, 2025, DOI:10.32604/ee.2025.062574 - 25 April 2025
Abstract With the increasing integration of emerging source-load types such as distributed photovoltaics, electric vehicles, and energy storage into distribution networks, the operational characteristics of these networks have evolved from traditional single-load centers to complex multi-source, multi-load systems. This transition not only increases the difficulty of effectively classifying distribution networks due to their heightened complexity but also renders traditional energy management approaches—primarily focused on economic objectives—insufficient to meet the growing demands for flexible scheduling and dynamic response. To address these challenges, this paper proposes an adaptive multi-objective energy management strategy that accounts for the distinct operational… More >

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Feng Guo, Chen Yang^*, Dezhong Xia, Jingxiang Xu
Energy Engineering, Vol.122, No.5, pp. 1975-1999, 2025, DOI:10.32604/ee.2025.062035 - 25 April 2025
（This article belongs to the Special Issue: Modelling, Optimisation and Forecasting of Photovoltaic and Photovoltaic thermal System Energy Production)
Abstract Short-term photovoltaic (PV) power forecasting plays a crucial role in enhancing the stability and reliability of power grid scheduling. To address the challenges posed by complex environmental variables and difficulties in modeling temporal features in PV power prediction, a short-term PV power forecasting method based on an improved CNN-LSTM and cascade learning strategy is proposed. First, Pearson correlation coefficients and mutual information are used to select representative features, reducing the impact of redundant features on model performance. Then, the CNN-LSTM network is designed to extract local features using CNN and learn temporal dependencies through LSTM,… More >

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Bin Jiang¹, Houbin Wang^2,*
Energy Engineering, Vol.122, No.5, pp. 2001-2057, 2025, DOI:10.32604/ee.2025.062765 - 25 April 2025
Abstract Considering the special features of dynamic environment economic dispatch of power systems with high dimensionality, strong coupling, nonlinearity, and non-convexity, a GA-DE multi-objective optimization algorithm based on dual-population pseudo-parallel genetic algorithm-differential evolution is proposed in this paper. The algorithm is based on external elite archive and Pareto dominance, and it adopts the cooperative co-evolution mechanism of differential evolution and genetic algorithm. Average entropy and cubic chaotic mapping initialization strategies are proposed to increase population diversity. In the proposed method, we analyze the distribution of neighboring solutions and apply a new Pareto solution set pruning approach.… More >

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Ameer H. Hamzah¹, Abdulrazzak Akroot¹, Hasanain A. Abdul Wahhab^2,*
Energy Engineering, Vol.122, No.5, pp. 2059-2075, 2025, DOI:10.32604/ee.2025.061592 - 25 April 2025
（This article belongs to the Special Issue: Advancements in Energy Resources, Processes, Systems, and Materials-(ICSSD2024))
Abstract The current work includes a numerical investigation of the effect of biodiesel blends with different aluminum oxide nanoparticle concentrations on the combustion process in the cylinder of a diesel engine. IC Engine Fluent, a specialist computational tool in the ANSYS software, was used to simulate internal combustion engine dynamics and combustion processes. Numerical analysis was carried out using biodiesel blends with three Al₂O₃ nanoparticles in 50, 100, and 150 ppm concentrations. The tested samples are called D100, B20, B20A50, B20A100, and B20A150 accordingly. The modeling runs were carried out at various engine loads of 0, 100,… More >

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Cong Zhang^1,2, Chutong Zhang², Lei Shen¹, Renwei Guo², Wan Chen¹, Hui Huang², Jie Ji^2,*
Energy Engineering, Vol.122, No.5, pp. 2077-2097, 2025, DOI:10.32604/ee.2025.064175 - 25 April 2025
（This article belongs to the Special Issue: Revolution in Energy Systems: Hydrogen and Beyond)
Abstract This paper presents a solution for energy storage system capacity configuration and renewable energy integration in smart grids using a multi-disciplinary optimization method. The solution involves a hybrid prediction framework based on an improved grey regression neural network (IGRNN), which combines grey prediction, an improved BP neural network, and multiple linear regression with a dynamic weight allocation mechanism to enhance prediction accuracy. Additionally, an improved cuckoo search (ICS) algorithm is designed to empower the neural network model, incorporating a gamma distribution disturbance factor and adaptive inertia weight to balance global exploration and local exploitation, achieving… More >

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Malik A. Faisal^*, Alireza Saraei
Energy Engineering, Vol.122, No.5, pp. 2099-2117, 2025, DOI:10.32604/ee.2025.061569 - 25 April 2025
（This article belongs to the Special Issue: Advancements in Energy Resources, Processes, Systems, and Materials-(ICSSD2024))
Abstract Performance enhancement of flat plate solar collectors is an endless research direction as it represents the most used solar technology. The enhancement could be achieved via design alteration, absorber-installed protrusions, and integration with thermal energy storage. The objective of the current research is to evaluate a compacted solar collector integrated with octadecane organic paraffin PCM (phase change materials) as a thermal energy storage medium. The investigations have been performed numerically utilizing ANSYS software. Thermal storage contains the PCM securely encased behind the absorbent plate of the collector in four packing containers. The investigations have been… More >

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Daixuan Zhou¹, Zhichao Wang¹, Kaile Xi², Chong Zuo³, Yan Jia^2,*
Energy Engineering, Vol.122, No.5, pp. 2119-2153, 2025, DOI:10.32604/ee.2025.061712 - 25 April 2025
Abstract HOMER (Hybrid Optimization Model for Electric Renewables) is an effective simulation and optimization platform for hybrid renewable energy. By inputting specific users’ energy resource data (such as wind speed, solar radiation, etc.) and load data, and by determining the types and models of components selected by the user, HOMER calculates and simulates the operational status of each component at every time step. Ultimately, it computes the energy balance of the system within specified constraints to simulate the overall system operation. This approach enables the reasonable determination of system component capacities, the evaluation of system feasibility,… More >

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