Energy Conversion and Management最新文献

{"title":"High-efficiency ammonia-fueled hybrid power generation system combining ammonia decomposition, proton exchange membrane fuel cell and micro gas turbine: A thermodynamic model and performance optimization","authors":"Li Lin, Mingwei Sun, Yifan Wu, Wenshi Huang, Zeyun Wu, Dabiao Wang, Huihuang Fang, Chongqi Chen, Yu Luo, Qing Zhang, Lilong Jiang","doi":"10.1016/j.enconman.2024.119358","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119358","url":null,"abstract":"As a carbon-free hydrogen (H<ce:inf loc=\"post\">2</ce:inf>) carrier with the advantage of liquefaction storage and transportation, ammonia (NH<ce:inf loc=\"post\">3</ce:inf>) is regarded as a competitive clean energy carrier for H<ce:inf loc=\"post\">2</ce:inf> production and power generation. This work designs a novel NH<ce:inf loc=\"post\">3</ce:inf>-fueled hybrid power generation system, which combines ammonia decomposition reactor (ADR), proton exchange membrane fuel cell (PEMFC) and micro gas turbine (MGT) together with thermochemical recuperation for ADR. A system-level thermodynamic model has been developed to evaluate system performance with different optimization strategies. The model calculation reveals that the NH<ce:inf loc=\"post\">3</ce:inf> decomposition temperature drop from 500 °C to 350 °C can increase the energy efficiency from 33.5 % to 43.2 %, and two improved integration strategies have therefore been proposed. Mixing a part of NH<ce:inf loc=\"post\">3</ce:inf> with the exhaust gas from PEMFC anode to fuel MGT can reduce the NH<ce:inf loc=\"post\">3</ce:inf> decomposition demand and makes better use of waste heat from MGT. Integrating ADR with MGT combustor can lower the exhaust gas temperature and the efficiency loss when using high temperature NH<ce:inf loc=\"post\">3</ce:inf> decomposition catalyst. Both strategies can improve the system energy efficiency, to about 40 % and 44 % when NH<ce:inf loc=\"post\">3</ce:inf> decomposition temperature is 500 °C and 350 °C, respectively, and demonstrate better flexibility in adapting to changes in NH<ce:inf loc=\"post\">3</ce:inf> decomposition temperature.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"84 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Driver abnormal behavior detection enabled self-powered magnetic suspension hybrid wristband and AI for smart transportation","authors":"Jiaoyi Wu, Hexiang Zhang, Enzan Xiao, Tianshuang Liang, Xiaolong Zou, Jiantong Sun, Chengliang Fan, Zutao Zhang","doi":"10.1016/j.enconman.2025.119485","DOIUrl":"https://doi.org/10.1016/j.enconman.2025.119485","url":null,"abstract":"With the development of intelligent transportation, a green, light, and comfortable behavior detection method that can protect driver privacy needs to be developed. This paper presents a self-powered behavior detection system based on a magnetic suspension hybrid wristband (MS-HW) and multi-scale convolutional channel attention residual network. The system consists of three modules: magnetic suspension electromagnetic generator module (MS-EMG), magnetic suspension triboelectric nanogenerator module (MS-TENG), and algorithm module (MCRnet). The whole wristband is a magnetic suspension double-layer tubular structure. Magnets and PTFE discs are attached as a moving stack, copper rings are evenly arranged on the outside of the inner tube, and coil groups are wound around the outer tube. During the reciprocating movement of the inner tube, the magnetic flux change of the coil generates electrical energy, and the charge transfer of the copper ring generates the triboelectric signal. Comsol simulation is carried out to optimize the configuration of the system. Then, we simulated a driving environment and collected the activity signals of 15 people. According to the characteristics of different action durations, many signal sampling points, and few channels, we propose a multi-scale convolutional channel attention residual network. Res Multiscale blocks in the network have multiple scaled convolutional kernels to collect signal features, satisfying different action durations. In the network, feature points continue to decrease, and the number of channels continues to increase. The efficient channel attention module (ECAblock) redistributes the weight of channels to further strengthen feature extraction. The stability of the whole network is guaranteed by the residual structure. Finally, the vibration table and network performance experiments are carried out to evaluate the power generation and sensing performance of the system. The output power reaches 0.39 mW, and the recognition rate of the network can reach 97.53 % on the test set.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"1 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermodynamic analysis of a novel semi-closed loop gas turbine conventional hybrid cycle: 4E-S approach (energy, exergy, economics, emissions, and sustainability)","authors":"Abhinav Anand Sinha, Kriti Srivastava, Tushar Choudhary, S.P. Pandey, Sanjay, Aman Singh Rajpoot","doi":"10.1016/j.enconman.2025.119489","DOIUrl":"https://doi.org/10.1016/j.enconman.2025.119489","url":null,"abstract":"In rural areas, which often have limited access to reliable electricity, gas-turbine hybrid cycles can provide a more stable and consistent source of power. India is a developing country, and its energy demands are increasing day by day. The economy of a country depends on energy consumption. To bridge the demand–supply gap and enhance the economy, a hybrid power generation system is proposed. A high-temperature fuel-cell is integrated with the conventional gas-turbine to improve its efficiency by more than 50%. A MATLAB-based simulation fuel-cell model is validated and then integrated with the gas turbine cycle. Performance can be assessed both quantitatively and qualitatively using the first and second laws of thermodynamics, respectively. The impact of pressure ratio and turbine inlet temperature on various operating parameters is discussed. The network output increases as the pressure ratio increases due to the greater expansion of combusted gas in the gas turbine. Solid oxide fuel cell work can increase energy efficiency by 41.27%. The hybrid system maximizes energy (63.78%) and exergy (60.17%) efficiency at pressure ratio 6. The combustion chamber achieved the highest rate of exergy destruction, at 56.8% in the semi-closed loop gas turbine and 61.7% in the semi-closed loop hybrid gas turbine. At the end of this work, an economic and emissions (CO and NOx) comparison between the two proposed configuration is presented. Also, a unique performance and emissions map are discussed.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"204 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving the off-design modeling of a commercial absorption chiller","authors":"Juan Manuel González, Alvaro Antonio Villa Ochoa, José M. Cardemil, Felipe Godoy, Mónica Zamora Zapata","doi":"10.1016/j.enconman.2024.119470","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119470","url":null,"abstract":"Modeling a commercial absorption chiller accurately is essential for better integrating and optimizing their operation, especially in off-design conditions. Hence, in this work, a novel model based on the principles of mass and energy conservation was developed, incorporating three improvements for a single-effect LiBr–H<ce:inf loc=\"post\">2</ce:inf>O absorption chiller, corresponding to (i) heat loss to the environment, (ii) heat transfer coefficient dependence on flow rate, and (iii) a falling film evaporator model. As a study case, the improved model was applied to simulate the off-design behavior of the Yazaki WFC-SC10 absorption chiller, using available manufacturer data. The effect of hot and chilled water temperature and hot water flow rate on performance were analyzed. Improvement (i) corrects the design point cooling capacity and heat input predictions to 0.03% and 0.04% error, respectively, far lower than the basic model (3.7% and 8.8%), while adding (ii) proves enough to enhance the off-design performance computation to excellent precision within 40%–100% of the rated hot water flow rate. Lastly, improvement (iii) allows the model to exhibit the performance-degrading partial wetting and overflow operating regimes at the evaporator, maintaining more realistic model predictions in off-design operation. The total model error in capacity and heat input with respect to manufacturer data (MAPE) decreased by 68% and 54% respectively, with respect to the hot water temperature, and by 94% and 82% with respect to its associated flow rate. Overall, this work sets a benchmark in commercial absorption chiller modeling accuracy, and particularly to the atypical behavior of the WFC-SC10.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"67 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142939704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A techno-economic assessment of pyrolysis processes for carbon capture, hydrogen and syngas production from variable methane sources: Comparison with steam reforming, water electrolysis, and coal gasification","authors":"Ahmet Çelik, Iadh Ben Othman, Yannik Neudeck, Olaf Deutschmann, Patrick Lott","doi":"10.1016/j.enconman.2024.119414","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119414","url":null,"abstract":"The economic and ecologic feasibility of thermal pyrolysis processes with the feedstocks natural gas (H<ce:inf loc=\"post\">2</ce:inf> and carbon as products) or biogas (syngas and carbon as products) are studied for different locations – China, USA, Germany, Saudi Arabia, and Türkiye – and compared with state-of-the-art steam reforming and water electrolysis. At all considered locations, the current power generation still causes significant CO<ce:inf loc=\"post\">2</ce:inf> emissions between 0.36 and 0.70 kg CO<ce:inf loc=\"post\">2</ce:inf>e/kWh, leading to CO<ce:inf loc=\"post\">2</ce:inf> emissions of H<ce:inf loc=\"post\">2</ce:inf> production <ce:italic>via</ce:italic> water electrolysis of more than 18 kg CO<ce:inf loc=\"post\">2</ce:inf>e/kg H<ce:inf loc=\"post\">2</ce:inf>. In contrast, due to a lower energy demand, the thermal pyrolysis of natural gas allows for H<ce:inf loc=\"post\">2</ce:inf> production with considerably less CO<ce:inf loc=\"post\">2</ce:inf> emissions between 6 and 12 kg CO<ce:inf loc=\"post\">2</ce:inf>e/kg H<ce:inf loc=\"post\">2</ce:inf>. With a hypothetical power generation relying exclusively on renewable sources, thermal pyrolysis can produce H<ce:inf loc=\"post\">2</ce:inf> with approx. 2 kg CO<ce:inf loc=\"post\">2</ce:inf>e/kg H<ce:inf loc=\"post\">2</ce:inf> (originating from natural gas production), which is ecologically more favorable than steam reforming with carbon capture and storage. Furthermore, the H<ce:inf loc=\"post\">2</ce:inf> production costs from thermal pyrolysis of natural gas are lower than from electrolysis and steam reforming for locations with low natural gas and electricity costs. For instance, in the USA and Saudi Arabia, H<ce:inf loc=\"post\">2</ce:inf> can be produced for less than 1 €/kg H<ce:inf loc=\"post\">2</ce:inf>. Using biogas as feed for a thermal pyrolysis process even leads to negative CO<ce:inf loc=\"post\">2</ce:inf> emissions of up to −1.28 kg CO<ce:inf loc=\"post\">2</ce:inf>e/kg syngas if the electricity supply is provided from renewable sources, which transforms the process to an active CO<ce:inf loc=\"post\">2</ce:inf> sink. However, a potential biogas-to-syngas process cannot compete with state-of-the-art steam reforming in terms of production costs, mainly due to high biogas prices and significantly lower production capacities. In summary, natural gas pyrolysis can be an economically and ecologically feasible alternative to large-scale steam reforming and water electrolysis, especially if prices for the produced carbon exceed 500–1000 €/t. Moreover, a decentralized framework of biogas pyrolysis plants can serve as a feasible CO<ce:inf loc=\"post\">2</ce:inf> sink when valuable, sustainable syngas and carbon are produced.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"37 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142929281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data center sustainability: The role of flexible fuel CCHP in mitigating grid emissions and power constraints","authors":"Taylor Stoll, Derek Young, Todd Bandhauer","doi":"10.1016/j.enconman.2024.119455","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119455","url":null,"abstract":"Concerns surrounding climate change and growing global energy demands are driving data centers to seek solutions to reduce energy requirements and greenhouse gas (GHG) emissions. Combined cooling, heating, and power (CCHP) systems provide a grid alternative pathway for data centers to address arising grid challenges and provide data centers control over their rate of decarbonization. Engine-based CCHP systems can provide decarbonized utilities by using low-carbon, zero-carbon fuels, or fuel blends, along with enhancing reliability by using widely available carbon-based fuels. Fuel flexibility can alleviate risks associated with unknown changes in fuel markets as renewable fuels like green hydrogen (gH<ce:inf loc=\"post\">2</ce:inf>) continue to gain traction. This study quantified the emissions reduction potential and viability of flexible fuel CCHP systems as a solution to meet data center decarbonization and energy needs, as well as the impact of locational factors such as ambient weather conditions, utility pricing, and time-dependent grid GHG emissions. A model was constructed to simulate the performance and operating cost of decarbonization of a flexible fuel CCHP system under three different fueling scenarios, including 100% natural gas (NG), 20% gH<ce:inf loc=\"post\">2</ce:inf>/80% NG blending, and 100% gH<ce:inf loc=\"post\">2</ce:inf> fuel using emissions peak shaving on an hourly resolution over an entire year of operation in seven cities across the United States. In Salt Lake City, Utah, using 100% NG had an operating cost of decarbonization of $33 per tonneCO<ce:inf loc=\"post\">2</ce:inf> removed and reduced GHG emissions by 37%. In Los Angeles, California, using 20% gH<ce:inf loc=\"post\">2</ce:inf> blending led to an emissions reduction of 9.6% and an operating savings of $380 per tonneCO<ce:inf loc=\"post\">2</ce:inf> removed at $2 per kg gH<ce:inf loc=\"post\">2</ce:inf> fuel prices. In Silicon Valley, California, using 100% gH<ce:inf loc=\"post\">2</ce:inf> led to an emissions reduction of 5.3% at an operating savings of $118 per tonneCO<ce:inf loc=\"post\">2</ce:inf> removed at $2 per kg gH<ce:inf loc=\"post\">2</ce:inf>. The ability of fuel flexibility to adjust with environmental and economic factors that can vary significantly across geographic locations exemplified its resiliency and advantage as a sustainability pathway for data centers.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"20 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142929308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization and assessment method to approach industrial site decarbonization: A case study of a light industry","authors":"Gaia Tomaiuolo, Laura Carnieletto, Matteo Pecchini, Alberto Benato, Anna Stoppato, Michele De Carli","doi":"10.1016/j.enconman.2024.119460","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119460","url":null,"abstract":"The industrial sector includes a wide range of industries and processes for which a single approach or universal strategies for decarbonization can hardly be identified. In general, the most efficient way to decarbonize building sites consists of two phases: (i) reduce the energy demand and (ii) replace the fossil-based power generation units with renewable energy sources, possibly working on the management of HVAC systems to reduce the required peak power. Literature provides general rules and schemes, but no specific works on the energy retrofit of industrial buildings have been found in literature so far. The present study investigates an existing industrial district, using dynamic energy models of buildings tuned with the current conditions and compared with seven decarbonization scenarios. A neutral water loop exchanging heat with the ground has been studied, representing a widely replicable solution due to the higher heat exchange efficiency and the modular installation, which can be expanded within the site. The significant energy savings (28%) and CO<ce:inf loc=\"post\">2</ce:inf> emission reduction (up to 70%) obtained are representative of the potential achievable for many industrial sites in mild European climates, where decarbonization should achieve optimal cost-benefit results while minimizing the impact on the production through modular approaches.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"19 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142929271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel integrated carbon-wood electrode with photothermal, heat storage, and electrochemical properties for solar-driven thermochemical cells","authors":"Jun Zhang, Xiaotian Li, Jili Zheng, Yanan Zou, Xuanshi Jia, Zhiwei Hu, Wei Yang, Shiwei Zhang","doi":"10.1016/j.enconman.2025.119481","DOIUrl":"https://doi.org/10.1016/j.enconman.2025.119481","url":null,"abstract":"Thermochemical cells present a sustainable and eco-friendly solution for solar energy utilization, but their performance is often limited by fluctuations in solar radiation. Traditional methods involve incorporating thermal storage systems into thermochemical cells, though these are limited by low heat transfer rates and the small electrochemically active surface area of conventional electrodes. This study introduces, innovatively, a carbon-wood electrode design that integrates enhanced photothermal, heat storage, and electrochemical properties for continuous electricity generation in solar-powered thermochemical cells. The carbon-wood structure increases photothermal conversion efficiency by 67 %, electrochemically active surface area by 28 %, and heat release time up to 16.67 min/cm<ce:sup loc=\"post\">3</ce:sup> compared to traditional graphite electrodes. Thermochemical cells with these electrodes achieve stable power output under fluctuating solar conditions, boosting maximum current density by 250 % to 0.9 A/m<ce:sup loc=\"post\">2</ce:sup>. These findings highlight the great potential of carbon-wood electrodes to stabilize and improve the efficiency of thermochemical cells, especially under intermittent lighting conditions. In addition, the integrated electrode design provides a low-cost, easy-to-manufacture solution, offering a novel approach for the sustainable development of affordable and efficient solar thermochemical cells technology.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"26 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142929272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermo-kinetic analysis of reductant-driven isothermal solar thermochemical cycles for H2 production","authors":"Tong Liu, Ji Li, Jiateng Zhang, Hui Kong","doi":"10.1016/j.enconman.2024.119451","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119451","url":null,"abstract":"Producing green hydrogen through solar thermochemical cycles represents a clean and promising avenue for future energy generation. However, several challenges, notably the requirement for elevated reaction temperatures and substantial deoxygenation losses, currently impede the advancement of this technology. Here, we propose a high-efficiency solar thermochemical cycling system assisted by reducing gas for hydrogen production and establish a thermo-kinetic model for isothermal pressure-swing cycles. Carbon monoxide is introduced into the reduction reaction as the reducing gas, chemically facilitating a decrease in Gibbs free energy associated with oxygen vacancies formed by metal oxygen carriers. This process serves to diminish the reduction temperature while concurrently consuming oxygen, thereby establishing an environment characterized by an extremely low oxygen partial pressure. Furthermore, the utilization of industrial waste gas as the source of carbon monoxide input into the cycles is proposed, which represents a potential pathway for the effective utilization of industrial waste gas, concurrently enhancing the efficiency of the thermochemical cycles for hydrogen production. This system mitigates the issue of significant energy expenditures associated with conventional deoxygenation methods, such as the utilization of inert sweeping gases and vacuum pumps, while concurrently achieving a synergistic effect in reducing both the reaction temperature and the oxygen partial pressure. The theoretical solar energy-to-fuel conversion efficiency of this system under isothermal cycles at 1300 ℃ can reach 18.91% and 23.17% with only water heat recovery when CeO<ce:inf loc=\"post\">2-</ce:inf><ce:italic><ce:inf loc=\"post\">δ</ce:inf></ce:italic> and Ce<ce:inf loc=\"post\">0.80</ce:inf>Zr<ce:inf loc=\"post\">0.20</ce:inf>O<ce:inf loc=\"post\">2-</ce:inf><ce:italic><ce:inf loc=\"post\">δ</ce:inf></ce:italic> are used as oxygen carriers, respectively. This work contributes a fresh idea to address the problems of high reaction temperatures and large deoxygenation energy consumption during the solar thermochemical cycles.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"15 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142929273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differential evolution algorithm featuring novel mutation combined with Newton-Raphson method for enhanced photovoltaic parameter extraction","authors":"Charaf Chermite, Moulay Rachid Douiri","doi":"10.1016/j.enconman.2024.119468","DOIUrl":"https://doi.org/10.1016/j.enconman.2024.119468","url":null,"abstract":"Accurate parameter extraction in photovoltaic (PV) cells and modules is crucial for optimizing performance, modeling, and predicting behavior under varying environmental conditions. In this context, we propose a novel hybrid algorithm, Mean Differential Evolution with Newton-Raphson (MDE-NR), which combines the strengths of Mean Differential Evolution (MDE) and the Newton-Raphson (NR) method to enhance the precision of parameter extraction. MDE, recognized for its ability to balance exploration and exploitation, employs an innovative mean-based mutation strategy that reduces the risk of premature convergence. However, while MDE effectively performs a global search, achieving the lowest possible error often requires further refinement. This is where the NR method comes into play, offering fast local convergence by using the optimal parameters generated by MDE as initial guesses. The combination of these two methods in MDE-NR significantly reduces the Root Mean Square Error (RMSE) in the final estimation. The effectiveness of the MDE-NR algorithm is validated through comprehensive comparisons with well-known metaheuristic algorithms across Single Diode Model (SDM), Double Diode Model (DDM), and Photovoltaic Module Model (PMM), achieving minimal RMSE values with standard deviations as low as 10E-19 to 10E-21 over 30 runs, far superior to those of 10 other metaheuristic algorithms. The algorithm demonstrates rapid convergence and outperforms its counterparts in computational efficiency. Moreover, MDE-NR effectively handles varying environmental conditions, such as constant irradiation with variable temperature and vice versa, achieving highly accurate results across different PV technologies. This hybrid approach establishes MDE-NR as a highly effective and reliable tool for the precise extraction of PV parameters, providing significant improvements in both accuracy and computational efficiency.","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"73 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}