Energy Conversion and Management最新文献_第3页

Advanced power curve modeling for wind turbines: A multivariable approach with SGBRT and grey wolf optimization

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-20 DOI: 10.1016/j.enconman.2025.119680

Wenliang Yin , Mengqian Jia , Lin Liu , Ming Li , Youguang Guo , Gang Lei , Jian Guo Zhu

{"title":"Advanced power curve modeling for wind turbines: A multivariable approach with SGBRT and grey wolf optimization","authors":"Wenliang Yin , Mengqian Jia , Lin Liu , Ming Li , Youguang Guo , Gang Lei , Jian Guo Zhu","doi":"10.1016/j.enconman.2025.119680","DOIUrl":"10.1016/j.enconman.2025.119680","url":null,"abstract":"<div><div>Accurate power curve modeling is crucial for improving the operational efficiency and performance of grid-connected wind turbines (WTs). To enhance the modeling quality and eliminate input variable interactions, this paper proposes a novel multivariable power curve prediction approach that integrates advanced machine learning techniques, namely stochastic gradient boosting regression tree (SGBRT) and grey wolf optimization (GWO), with innovative data preprocessing and feature selection methods. The specific works and novelties are as follows. 1) The raw data is cleaned in a two-dimensional Copula space, using wind wheel speed as an auxiliary criterion and a probabilistic description, to handle data uncertainties and nonlinear dependencies. 2) A partial mutual information (PMI) method is presented for data characteristics analysis, based on which eight significant parameters are selected as modeling input variables, reducing computational complexity while enhancing prediction accuracy. 3) A power curve prediction model considering multiple input variables is established using SGBRT, and its hyperparameters are optimized through a GWO algorithm, guided by a fitness function combining the indicators of root mean square error (RMSE), mean absolute error (MAE) and R squared (R<sup>2</sup>). 4) Validated with real SCADA data from WTs in service, the proposed model achieves superior performance, with the smallest standardized residuals (6.56 %), RMSE (around 27 kW), MAE (19.27 kW), and superior average R<sup>2</sup> (98.61 %) for all speed regions. Comparative studies indicate that the proposed approach outperforms existing methods, offering significant improvements in accuracy, efficiency, robustness and adaptability for WT power curve modeling.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119680"},"PeriodicalIF":9.9,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681935","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}

引用次数: 0

Selection of oxygen carrier for chemical looping combustion of natural gas and syngas fuels – A machine learning approach

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-19 DOI: 10.1016/j.enconman.2025.119745

Bilal Ahmed , Atta Ullah , Rehan Zubair Khalid , Muhammad Shahid , Liang Zeng , Xubin Zhang , Muhammad Zaman

{"title":"Selection of oxygen carrier for chemical looping combustion of natural gas and syngas fuels – A machine learning approach","authors":"Bilal Ahmed , Atta Ullah , Rehan Zubair Khalid , Muhammad Shahid , Liang Zeng , Xubin Zhang , Muhammad Zaman","doi":"10.1016/j.enconman.2025.119745","DOIUrl":"10.1016/j.enconman.2025.119745","url":null,"abstract":"<div><div>This research focuses on selecting suitable oxygen carriers (OCs) using data driven modeling in order to prevent operational issues such as agglomeration, attrition, and sintering, which are challenges in chemical looping combustion (CLC) operations. The complexity of choosing effective OCs arises from the diverse compositions of natural ores and synthetic compounds used in the process. In this work, eight machine learning techniques were employed to predict the performance of oxygen carriers using a parameter known as gas yield under different operating temperatures for gaseous fuels primarily natural gas and syngas. A comprehensive dataset including experimental data from the literature for various carriers were used to train multiple machine learning models. The models predicted gas yield with knowledge of reactor operating temperature, fuel composition, and the elemental makeup of oxygen carriers. Cross-validation and bootstrap techniques were employed to ensure model robustness and minimize prediction error. The results demonstrate that the GBR and CatBoost have been the best-performing model achieving a high coefficient of determination 0.820 and 0.822 value respectively and same low mean error value of 0.015. It was observed that Fe and Mn based mixed oxide performed as good OCs with their reactivity increasing with Fe to Mn ratio. This study highlights the potential of machine learning in optimizing oxygen carrier performance and accelerating advancements in CLC technology.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119745"},"PeriodicalIF":9.9,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681936","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}

引用次数: 0

Improving energy efficiency through forecast-driven control in hybrid heat pumps

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-18 DOI: 10.1016/j.enconman.2025.119737

Marco Bizzarri, Paolo Conti, Eva Schito, Daniele Testi

{"title":"Improving energy efficiency through forecast-driven control in hybrid heat pumps","authors":"Marco Bizzarri, Paolo Conti, Eva Schito, Daniele Testi","doi":"10.1016/j.enconman.2025.119737","DOIUrl":"10.1016/j.enconman.2025.119737","url":null,"abstract":"<div><div>Hybrid heat pumps (HHPs) are increasingly used for residential space heating, especially where stand-alone heat pumps (HPs) are inefficient. Typically, HHPs and HVAC systems controls rely on simple rule-based approaches. Smart controllers that employ building-system modeling can improve energy efficiency by determining which heat generation unit to activate and setting the supply water temperature according to actual building heat demand. Data-driven models are particularly suitable for widespread use, as they can self-learn building thermal characteristics and optimize system operation. In this study, we employed an autoregressive model to forecast short-term hourly energy demand and the corresponding water supply temperature to the heat emitters. These predictions helped to estimate generators performance and select the optimal unit to minimize energy costs while meeting heat demand. The predictive control procedure was tested on various case studies, both simulated and field-monitored, representative of the Italian housing stock. Results showed that in non-renovated buildings with radiators, the predictive control strategy can reduce operating costs by up to 20% compared to current commercial HHP controls. This improvement was mainly due to better supply temperature set-point evaluation and increased HP use. Similar benefits were observed in environmental and primary energy metrics. Conversely, in newer, well-insulated houses with low-temperature emitters, current controls are already efficient. Finally, we showed that the proposed control strategy deviates less than 3% from an ideal prediction and control in realistic on-field monitored test cases, representing a valuable trade-off between achievable benefits, data requirements, computational efforts, and implementation feasibility in real industrial HHP devices.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119737"},"PeriodicalIF":9.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643348","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}

引用次数: 0

Toward a green steel production powered by a hybrid renewable energy system: Techno-economic and environmental assessment

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-18 DOI: 10.1016/j.enconman.2025.119716

Pouriya Nasseriyan , Saeed Jafari , Hossein Khajehpour , Saeed Edalati

{"title":"Toward a green steel production powered by a hybrid renewable energy system: Techno-economic and environmental assessment","authors":"Pouriya Nasseriyan , Saeed Jafari , Hossein Khajehpour , Saeed Edalati","doi":"10.1016/j.enconman.2025.119716","DOIUrl":"10.1016/j.enconman.2025.119716","url":null,"abstract":"<div><div>The steel supply chain consists of several stages, with the most energy-demanding phase being the direct reduction iron process. Syngas, used in this stage, is typically produced from fossil fuels like natural gas, which leads to substantial greenhouse gas emissions. In this study, the direct reduction iron production stage was replaced with a proposed process aimed at reducing both energy consumption and emissions while maintaining economic viability. The proposed process (Solid Oxide Electrolyzer − Direct Reduction Iron) was introduced as a potential solution and was compared technically, environmentally, and economically with the conventional (Steam Methane Reforming − Direct Reduction Iron) process. In the proposed process, solid oxide electrolysis cells are used to produce syngas, with the required electrical and thermal energy supplied from renewable sources, solar power and biogas. The results were validated after modeling the process and performing an economic analysis. The comparison between key performance indicators of the two processes highlighted three main findings: first, energy consumption per unit of production decreased by 17 %, from 3.06 MWh/ton<sub>DRI</sub> to 2.53 MWh/ton<sub>DRI</sub>, while energy efficiency improved by 33 %, rising from 52 % to 85 %. Second, the proposed process resulted in near-zero emissions (Green Steel) production due to the use of renewable energy sources. Third, from an economic perspective, considering the carbon emission penalty, the levelized cost of production for the conventional process was 245 $/ton<sub>DRI</sub>, making it comparable to the 249 $/ton<sub>DRI</sub> cost for the proposed process.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119716"},"PeriodicalIF":9.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643349","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}

引用次数: 0

Exergo-environmental cost optimization of a wind-solar integrated tri-generation system through heterogeneous energy storage and carbon trading mechanisms

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-18 DOI: 10.1016/j.enconman.2025.119741

Yuzhu Chen , Kaifeng Yang , Weimin Guo , Na Du , Kun Yang , Tianhu Zhang , Liying Qi , Peter D. Lund

{"title":"Exergo-environmental cost optimization of a wind-solar integrated tri-generation system through heterogeneous energy storage and carbon trading mechanisms","authors":"Yuzhu Chen , Kaifeng Yang , Weimin Guo , Na Du , Kun Yang , Tianhu Zhang , Liying Qi , Peter D. Lund","doi":"10.1016/j.enconman.2025.119741","DOIUrl":"10.1016/j.enconman.2025.119741","url":null,"abstract":"<div><div>Global energy consumption is increasing due to rising living standards and industrial growth, leading to an escalating demand for clean energy sources. However, the inherent volatility of renewable energy coupled with fluctuating demand presents substantial challenges to system stability. To achieve energy balance between the system and users while enhancing the integration of wind and solar resources, a solar-wind-gas coupling tri-generation system is constructed that incorporates diverse energy storage solutions, including thermal, gas, electrical, and hydrogen storages. To identify optimal dispatch schedules for these devices, an exergo-environmental cost approach is employed aiming to minimize operational costs of energy products while factoring in ladder carbon trading. Results indicate that the scenario integrating wind turbines and photovoltaic/thermal units yields the best performance, with a carbon cost of $124.6, zero power cost, and the lowest specific cost per kWh at $0.029. Sensitivity analysis indicates that higher carbon pricing encourages the use of lower carbon-intensive energy sources, which leads to reduced natural gas costs but an increase in specific exergo-environmental costs. This study underscores the potential of combining renewable technologies with heterogeneous energy storage systems to optimize exergo-environmental cost performance.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119741"},"PeriodicalIF":9.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642900","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}

引用次数: 0

Comparative study of different engine knock metrics for bracketing the octane number of fuels

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-18 DOI: 10.1016/j.enconman.2025.119744

Xinyang Wang , Kalim Uddeen , Tawfik Badawy , Mebin Samuel Panithasan , Jie Hu , Arjun B. Narayanamurthy , James W.G. Turner

{"title":"Comparative study of different engine knock metrics for bracketing the octane number of fuels","authors":"Xinyang Wang , Kalim Uddeen , Tawfik Badawy , Mebin Samuel Panithasan , Jie Hu , Arjun B. Narayanamurthy , James W.G. Turner","doi":"10.1016/j.enconman.2025.119744","DOIUrl":"10.1016/j.enconman.2025.119744","url":null,"abstract":"<div><div>This study presents a comparative analysis of different engine knock metrics used to evaluate the octane number (ON) of fuels in a Cooperative Fuel Research (CFR) engine. The knock metrics examined include knock intensity 20 (KI20), the maximum amplitude of pressure oscillations (MAPO), the maximum pressure rise rate (MPRR), the cumulative knock intensity (CKI), and the wavelet decomposition energy (WDE). Modified versions of standard CFR engine tests were conducted using both liquid and gaseous fuels, covering a range of research octane number (RON) from 60 to 100. The knock data were collected using both a detonation meter and an in-cylinder pressure transducer to compare traditional and pressure-based knock measurement methods. Results indicate that of the metrics investigated, MPRR is the most effective for bracketing octane numbers, showing higher validity and a closer resemblance to knockmeter readings compared to the others analyzed. Furthermore, the study explores the knock resistance of hydrogen, revealing discrepancies with standard RON evaluations. The findings of this work indicates that hydrogen’s RON, evaluated based on MPRR, falls within the range of 98–100. The results provide valuable insights for improving knock measurement accuracy, especially when evaluating fuels with high knock resistance, and for optimizing modern engine designs to meet emerging fuel standards.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119744"},"PeriodicalIF":9.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642999","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}

引用次数: 0

Modelling of biomass gasification for fluidized bed in Aspen Plus: Using machine learning for fast pyrolysis prediction

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-18 DOI: 10.1016/j.enconman.2025.119695

Hao Shi, Yaji Huang, Yizhuo Qiu, Jun Zhang, Zhiyuan Li, Huikang Song, Tianhang Tang, Yixuan Xiao, Hao Liu

{"title":"Modelling of biomass gasification for fluidized bed in Aspen Plus: Using machine learning for fast pyrolysis prediction","authors":"Hao Shi, Yaji Huang, Yizhuo Qiu, Jun Zhang, Zhiyuan Li, Huikang Song, Tianhang Tang, Yixuan Xiao, Hao Liu","doi":"10.1016/j.enconman.2025.119695","DOIUrl":"10.1016/j.enconman.2025.119695","url":null,"abstract":"<div><div>The potential offered by biomass to upgrade into more valuable products via gasification is now being widely recognized globally. Due to difference of pyrolysis conditions, conventional Aspen modelling is challenged for bubbling fluidized bed(BFB) biomass gasification. In this work, a novel approach is developed for Aspen biomass gasification in BFB, combined with machine learning. Machine learning is utilized for biomass fast pyrolysis char and gas prediction. A sub-model for pyrolysis products evolution lumping equilibrium is then established via element balance calculation for predicted fast pyrolysis products compositions. Subsequent gasification in gasifier is controlled kinetically. Evaluation and discussion have been carried out on the method feasibility and precision of gasification products prediction in current model. Comparative analysis with six sets of experimental data reveals that most relative errors of syngas composition are controlled within ± 20 %, with half of them falling within ± 10 %. New model demonstrates satisfying accuracy and adaptability for different feedstock, attributed to application of machine learning in fast pyrolysis products prediction. Sensitivity analysis confirms current model’s capability to simulate trends of syngas compositions under varying gasification conditions correctly. Modules contribution analysis indicates that further promotion of accuracy can be achieved by refining tar cracking prediction and element equilibrium. Through present method, modelling for feedstock whose pyrolysis kinetics are unknown is not limited to thermodynamic equilibrium and can obtain higher accuracy and feedstock scalability. It provides original insight for more reasonable Aspen modelling and comprehensive usage of Aspen-machine learning combination.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119695"},"PeriodicalIF":9.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643397","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}

引用次数: 0

Floating solar wireless power transfer system for electric ships: Design and laboratory tests

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-17 DOI: 10.1016/j.enconman.2025.119738

Khalifa Aliyu Ibrahim , Timothé Le Maréchal , Patrick Luk , Qing Qin , Luofeng Huang , Ying Xie , Patrick Verdin , Zhenhua Luo

{"title":"Floating solar wireless power transfer system for electric ships: Design and laboratory tests","authors":"Khalifa Aliyu Ibrahim , Timothé Le Maréchal , Patrick Luk , Qing Qin , Luofeng Huang , Ying Xie , Patrick Verdin , Zhenhua Luo","doi":"10.1016/j.enconman.2025.119738","DOIUrl":"10.1016/j.enconman.2025.119738","url":null,"abstract":"<div><div>The maritime industry is under increasing pressure to decarbonise, presenting an important pathway of transforming the power systems from conventional marine fuels to electric-based. This study proposes an innovative solution to support maritime decarbonisation through the integration of a floating solar clean energy harnessing and wireless power transfer (WPT) technology for electric vessels. The paper presents the design and experimental tests of the integrated system specifically, based on a model of an electric yacht. This study provides an in-depth analysis of application of floating solar to provides an off-grid wireless power transfer system that can scale for larger vessels such as ferries. The off-grid modularity proposed enables scalable, flexible, and sustainable energy delivery for maritime applications and decarbonisation with specific attention to challenges in WPT alignment and environmental condition. Simulations using ANSYS Maxwell were performed to model the magnetic field interactions and ascertain the optimal power transfer efficiency. Subsequently, a reduced-scale prototype system was designed, built and tested in a wave tank. The experimental results demonstrated efficient wireless charging with an average efficiency of 82 %, and the docking system proved effective in maintaining alignment even when the ship has wave-induced motions. The findings support the feasibility of using floating solar WPT systems for maritime vessels and pave the way to larger-scale studies.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119738"},"PeriodicalIF":9.9,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel, fast, physics-based, and efficient design method for radial turbine rotors

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-17 DOI: 10.1016/j.enconman.2025.119664

Ali Nasseri Pour Yazdi, Ali Hajilouy Benisi, Mehrdad T. Manzari

{"title":"A novel, fast, physics-based, and efficient design method for radial turbine rotors","authors":"Ali Nasseri Pour Yazdi, Ali Hajilouy Benisi, Mehrdad T. Manzari","doi":"10.1016/j.enconman.2025.119664","DOIUrl":"10.1016/j.enconman.2025.119664","url":null,"abstract":"<div><div>Wide range of radial turbine applications with often severe constrained working conditions necessitates an efficient design tool. With a novel method of this research, radial turbine rotor is designed based on relating multi-directional flow accelerations and rotor geometrical features. In rotor meridian plane, flow accelerations in streamwise and spanwise directions are determined by variations of the passage width and hub and shroud radii of curvatures, respectively. Three functions of these geometrical features are defined and a weighted summation of them is selected to obtain exact coordinates of two 2D curves for meridian passage hub and shroud. Next, circumferential coordinates are specified for meridian passage 2D contours which gives blade hub and shroud 3D curves. The ratio of circumferential deviation to radius change is adjusted for controlling two different work transfer mechanisms of the blade. By this simple and fast design method, flow acceleration and work transfer mechanisms of the rotor are governed by only four design parameters. The design procedure is employed for upgrading performance of GT-4082 turbocharger turbine rotor. The best case, within ten new design iterations, shows 1.5 % improvement of total to static efficiency at design point and all off-design conditions with U/C<sub>s</sub> < 0.7. The detailed flow field investigations show mildly accelerating flow throughout the rotor passage at design point which reduces entropy generation of boundary layer and tip leakage, by 26.8 %, 8.5 %, respectively; along with 11.9 % lower exit kinetic energy. The same trend of blade loading and entropy generation is observed at off-design conditions. These achievements are considerable and valuable.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119664"},"PeriodicalIF":9.9,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637429","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}

引用次数: 0

A novel process design methodology for power cycle: From ideal heat matching to actual structures 用于功率循环的新型工艺设计方法：从理想热匹配到实际结构

IF 9.9 1区工程技术

Energy Conversion and Management Pub Date : 2025-03-17 DOI: 10.1016/j.enconman.2025.119732

Jingyu Wang , Yiwei Yin , Ligeng Li , Xuanang Zhang , Hua Tian , Gequn Shu

{"title":"A novel process design methodology for power cycle: From ideal heat matching to actual structures","authors":"Jingyu Wang , Yiwei Yin , Ligeng Li , Xuanang Zhang , Hua Tian , Gequn Shu","doi":"10.1016/j.enconman.2025.119732","DOIUrl":"10.1016/j.enconman.2025.119732","url":null,"abstract":"<div><div>The power cycle is one of the most essential thermal-to-power systems and involves various working fluids and heat sources. This work proposes a novel three-stage process design methodology for the power cycle, encompassing performance optimization, operating condition optimization, and structural design. The first and second stages optimize the performance and operating conditions without structural constraints, representing an ideal cycle design. The third stage performs the structural design based on the optimal operating conditions determined in the previous stages. This stage employs a white-box model with a well-defined thermodynamic process. In this work, the method is applied to the case studies of single-pressure cycles and complex dual-pressure cycles. The net power output of the carbon dioxide transcritical power cycle was further improved by 5.07 % using this method. The single- and dual-pressure ammonia power cycles further increase the net power output by 51.51 % and 61.01 %, respectively, under the same heat source. The proposed method can optimize the operating conditions for the power cycle and design the optimal cycle structure under various operating conditions, providing a novel approach for the research and development of control strategies for variable cycle structures. Additionally, this method is highly generalized, allowing for easy modification of heat sources and working fluids without additional codes. This methodology avoids empirical selection, repetitive cycle structure modeling, and performance limitations with fixed cycle structures. Consequently, this work provides a rapid solution for customizing power cycles.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"332 ","pages":"Article 119732"},"PeriodicalIF":9.9,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637430","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}

引用次数: 0