Energy最新文献

{"title":"Multi-objective design optimization of cryo-polygeneration systems for urban microgrids: Balancing cost-effectiveness and sustainability","authors":"Alessio Tafone ,&nbsp;Sundar Raj Thangavelu ,&nbsp;Shigenori Morita ,&nbsp;Alessandro Romagnoli","doi":"10.1016/j.energy.2025.136550","DOIUrl":"10.1016/j.energy.2025.136550","url":null,"abstract":"<div><div>Small- and medium-scale polygeneration systems provide multiple energy services to urban districts, including business parks, universities, and hospitals, offering significant energy, economic, and environmental benefits. These systems enhance energy efficiency, reduce cost, and lower emissions, especially in tropical urban areas with year-round cooling demand. This paper presents a multi-objective design methodology for polygeneration systems in tropical climates, integrating distributed energy technologies such as medium-scale gas turbines, solar photovoltaic, chillers, and energy storage. The proposed methodology adopts optimization approach to determine the optimal configuration and capacities of distributed energy systems to achieve various business goals, such as economic and sustainability objectives. The multi-objective design methodology employs a three-level optimization approach: simulation using the Transient System Simulation Tool, Pareto-based search conducted in Matrix Laboratory software, and an interface connecting the simulation tool with the optimization platform. This process generates a Pareto front of design solutions, balancing economic and environmental objectives. The proposed design methodology was applied to a case study of a polygeneration system at the Nanyang Technological University campus in Singapore, optimized across four superstructure configurations. Results show significant reductions in energy costs and CO2 emissions compared to the baseline, with a comparative analysis of various scenarios. The findings provide a comprehensive view of design options, allowing energy experts to balance economic and sustainability objectives for optimal system performance.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"328 ","pages":"Article 136550"},"PeriodicalIF":9.0,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072605","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":"Extraction and application of intrinsic predictable component in day-ahead power prediction for wind farm cluster","authors":"Mao Yang ,&nbsp;Renxian Jiang ,&nbsp;Xinnan Yu ,&nbsp;Bo Wang ,&nbsp;Xin Su ,&nbsp;Chenglian Ma","doi":"10.1016/j.energy.2025.136530","DOIUrl":"10.1016/j.energy.2025.136530","url":null,"abstract":"<div><div>With the continuous updating and iteration of artificial intelligence algorithms, prediction models emerge one after another, but the research and utilization of the predictability of wind power is still less. Therefore, this paper proposed a day-ahead power prediction method for Wind Farm Cluster (WFC) based on intrinsic predictable component extraction. Firstly, based on the difference of power distribution between wind farm and WFC, a method of Wind Power Curve (WPC) modeling for WFC is proposed, which provides the basis for establishing the Final Set of Wind Power Curve (FSWPC). Secondly, the Intrinsic Predictable Component (IPC) of wind power is extracted based on the FSWPC, and the Interference Component (IC) of wind power is separated to eliminate the influence of IC on IPC in the process of prediction. Thirdly, the historical similarity matching method with large threshold is used to predict the IC to make up for the numerical deficiency of the IPC. Finally, the proposed method was applied to a WFC in China to verify its effectiveness. Compared with the traditional prediction strategy, the NRMSE, NMAE and MAPE are reduced by 1.59 %, 1.15 % and 6.42 %, respectively.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"328 ","pages":"Article 136530"},"PeriodicalIF":9.0,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947884","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":"Integrated optimization of storage node location and multi-commodities flow routes in multimodal transport networks with carbon emissions consideration","authors":"Ziqiang Hu,&nbsp;Yuguang Wei,&nbsp;Qi Li,&nbsp;Chen Li","doi":"10.1016/j.energy.2025.136567","DOIUrl":"10.1016/j.energy.2025.136567","url":null,"abstract":"<div><div>Multimodal transportation offers significant advantages in reducing energy consumption and carbon emissions for long-distance freight. The location of cargo storage nodes significantly impacts total costs and carbon emissions, as different site selections lead to variations in transportation distance and storage prices. Therefore, the integrated storage location and multi-commodity flow routing problem (ISLRP) within multimodal transport networks is crucial for minimizing total costs, including transportation, transshipment, storage, and carbon emissions costs. ISLRP is a variant of the routing and flow allocation problem faced by multimodal transport operators (MTOs). Operators must consider the storage locations, storage durations, and transportation routes for all customer shipments to minimize total costs while effectively meeting shipping demands within specified deadlines. The multimodal transport network under consideration involves various transportation modes, such as road, railway, and waterway transport. By topologically reconstructing the multimodal transport network, ISLRP directly incorporates storage processes both before dispatch and after arrival, enabling integrated optimization of storage and transportation for multi-commodities. This study evaluates the effectiveness of the ISLRP model through a case study of a multimodal transport network in China, providing MTOs more flexible solutions for ISLRP while meeting customer demands. To further assess the policy relevance and model sensitivity, we investigate the effects of varying carbon pricing scenarios. When the carbon price increases from US$50 to US$100 per ton, carbon emissions decrease by 2.72 %–12.09 % compared to the baseline at US$27.35 per ton, indicating that carbon pricing policies have a significant impact on ISLRP result.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"328 ","pages":"Article 136567"},"PeriodicalIF":9.0,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947883","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":"Accurate photovoltaic power prediction via temperature correction with physics-informed neural networks","authors":"Keqi Wang ,&nbsp;Lijie Wang ,&nbsp;Qiang Meng ,&nbsp;Chao Yang ,&nbsp;Yangshu Lin ,&nbsp;Junye Zhu ,&nbsp;Zhongyang Zhao ,&nbsp;Can Zhou ,&nbsp;Chenghang Zheng ,&nbsp;Xiang Gao","doi":"10.1016/j.energy.2025.136546","DOIUrl":"10.1016/j.energy.2025.136546","url":null,"abstract":"<div><div>Photovoltaic (PV) power generation, an essential part of renewable energy, is affected by both irradiance and module temperature. Accurately predicting PV module temperature and power output is essential for optimizing system operations and management. This paper proposes a PV module temperature prediction model based on physics-informed neural networks (PINN). The model uses an ordinary differential equation (ODE) to simulate the energy exchange between the PV module and its environment, accurately predicting the module's temperature. The temperature features generated by the PINN are then integrated with a long-short term cross attention mechanism (LSCAM) as part of the input for PV power prediction. This fusion of mechanism data-driven features enables precise forecasting of PV power generation. Experimental validation on a test set from a PV site in Zhejiang Province, China, demonstrates high R-squared values for both temperature prediction (0.9808, 0.9602, 0.9806, 0.9811) and power prediction (0.9880, 0.9720, 0.9829, 0.9872) across different seasons. The results show that the model significantly improves the prediction accuracy and enhances generalization, offering strong support for the future intelligent control and optimization of PV systems.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"328 ","pages":"Article 136546"},"PeriodicalIF":9.0,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068712","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 deep learning approach for regional high-resolution spatio-temporal wind speed forecasting for energy applications","authors":"Sofien Resifi,&nbsp;Elissar Al Aawar,&nbsp;Hari Prasad Dasari,&nbsp;Hatem Jebari,&nbsp;Ibrahim Hoteit","doi":"10.1016/j.energy.2025.136356","DOIUrl":"10.1016/j.energy.2025.136356","url":null,"abstract":"<div><div>Accurate spatio-temporal wind speed forecasting is crucial for optimizing wind energy production. Traditional forecasting relies on numerical weather prediction (NWP) models, which are computationally intensive, especially when implemented on large high-resolution grids. Recently, Deep Learning (DL) has emerged as an efficient alternative, utilizing historical data to learn patterns and predict future conditions. This work develops a regional DL-based forecasting system that reduces the computational burden of physical models, by using a long-term reanalysis dataset for the Arabian Peninsula (AP). The system forecasts hourly wind speed at 5 km spatial resolution up to 48 h ahead. We focus on vertical levels, corresponding to the hub heights of wind turbines for energy production. We explore two approaches: recursive forecasting, which advances the system’s state at a fine scale over time, and downscaling, which refines coarse-resolution forecasts into high-resolution counterparts. Furthermore, we propose merging both approaches by combining the propagation of spatio-temporal dynamics at fine-scale with coarse-scale predictions. The performance of the frameworks was evaluated qualitatively and quantitatively. Results show that the recursive approach accumulates errors over time steps, whereas the downscaling approach effectively generates high-resolution forecasts. Combining both approaches resulted in a more robust framework, demonstrating notably improved performance and stabilized error evolution.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"328 ","pages":"Article 136356"},"PeriodicalIF":9.0,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068788","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":"Combustion and emission characteristics of an ammonia-hydrogen engine using hydrogen-nitrogen jet ignition","authors":"Qiyang Sun ,&nbsp;Yunliang Qi ,&nbsp;Zhelong Lin ,&nbsp;Yi Liu ,&nbsp;Wuzhe Zhu ,&nbsp;Zhi Wang","doi":"10.1016/j.energy.2025.136544","DOIUrl":"10.1016/j.energy.2025.136544","url":null,"abstract":"<div><div>Ammonia is a promising carbon-free fuel for internal combustion engines, but its low reactivity poses significant ignition challenges. Hydrogen jet ignition has emerged as a potential solution. While using ammonia decomposition as a hydrogen source is safer and more practical than hydrogen cylinders, the ignition performance of its decomposition gas (a hydrogen-nitrogen mixture with a molar ratio of 3:1) remains poorly studied. This study investigated the performance of an ammonia-hydrogen engine using a hydrogen-nitrogen mixture with a molar ratio of 3:1 as the ignition gas for active jet ignition under two categories of injection strategy: varying injection times and durations. The results showed that, compared to pure hydrogen, the hydrogen-nitrogen mixture increases the density inside the jet chamber, resulting in an increase in jet flame penetration length and flame ignition area. Moderately reducing the hydrogen energy ratio (<span><math><mrow><msub><mi>α</mi><msub><mi>H</mi><mn>2</mn></msub></msub></mrow></math></span>) could reduce heat loss and improve indicated thermal efficiency (ITE). Additionally, slightly lean combustion could achieve better thermal efficiency. The maximum ITE of 44.2 % was obtained with an excess air ratio (<em>λ</em>) at 1.18 and <span><math><mrow><msub><mi>α</mi><msub><mi>H</mi><mn>2</mn></msub></msub></mrow></math></span> = 1.1 %. Slightly lean burn improved ITE but too lean mixture led to unstable combustion. As <em>λ</em> increased, NO_x emissions first increased and then decreased at the maximum ITE operating condition under the same injection strategy and <span><math><mrow><msub><mi>α</mi><msub><mi>H</mi><mn>2</mn></msub></msub></mrow></math></span>. Under <span><math><mrow><msub><mi>α</mi><msub><mi>H</mi><mn>2</mn></msub></msub></mrow></math></span> = 3.5 % and <em>λ</em> = 1.0, the minimum NO_x was measured at 2796 ppm. This study validates the ignition capability of ammonia decomposition products and proposes optimized combustion strategies for improving efficiency and reducing emissions.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"328 ","pages":"Article 136544"},"PeriodicalIF":9.0,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072599","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":"Analysis of hydraulic stability of a Francis turbine under partial load conditions based on Liutex method and entropy production theory","authors":"Lihui Xu ,&nbsp;Tao Guo","doi":"10.1016/j.energy.2025.136528","DOIUrl":"10.1016/j.energy.2025.136528","url":null,"abstract":"<div><div>Hydropower turbines, as crucial components for grid regulation, must operate under frequently changing partial load conditions to accommodate the integrated generation of wind, solar, and hydro power in new hybrid grids. Ensuring their safety and stability is of paramount importance. This study focuses on the HLA551-LJ-43 turbine, using the Liutex method and entropy production theory to comprehensively analyze the influence of vortex structures on cavitation, pressure pulsations, and hydraulic losses under five representative operating conditions, with validation against experimental efficiency. The conclusions are as follows: (1) Increasing the rotational speed enhances the helical nature of the draft tube vortex, whereas reducing the speed effectively eliminates this helicity, favoring the stability of the unit. (2) There is no direct correlation between the occurrence of cavitation and vortex structures; however, increasing the head can induce extensive cavitation phenomena. (3) Due to the propagation of pressure waves, the frequency of the draft tube vortex generated at the most downstream point appears in the spiral casing domain, significantly impacting the hydraulic stability of the entire unit. (4) A comparative analysis of vortex structures and entropy production reveals that, in the runner region, blade passage vortices and blade tip leakage vortices are the main sources of hydraulic losses. This pattern holds true under high head, low-speed, and high-speed conditions. This research provides robust numerical analysis for optimizing new hybrid grid generation and offers effective engineering guidance.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"328 ","pages":"Article 136528"},"PeriodicalIF":9.0,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947881","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":"Experimental study on a thermochemical energy storage system for water heating with microchannel flat tube heat exchangers","authors":"Yong Zhang ,&nbsp;Ziwei Chen ,&nbsp;Jianbin Chen ,&nbsp;Michele Bottarelli ,&nbsp;Yuehong Su ,&nbsp;Saffa Riffat","doi":"10.1016/j.energy.2025.136539","DOIUrl":"10.1016/j.energy.2025.136539","url":null,"abstract":"<div><div>Integrating open thermochemical energy storage (TCES) with domestic central heating system remains challenging due to differences in heat transfer media. To overcome these, two distinct TCES system configurations for water heating were previously developed: one incorporating a detached finned microchannel heat exchanger (DFHEX-TCES) and another utilizing an internal bare microchannel heat exchanger (IBHEX-TCES), both validated through simulation. In this study, a versatile TCES experimental platform was developed to evaluate and compare these configurations under various operating conditions. Results demonstrated that while both single-layer configurations achieved comparable peak water temperature lifts, the DFHEX-TCES significantly outperformed the IBHEX-TCES by maintaining temperature lifts for approximately 1.5 times longer. At a low airflow rate (17 m³ h⁻¹), both reactors reached peak temperature lifts around 5.7 °C, but DFHEX-TCES maintained lifts above 5 °C nearly twice as long. Increasing airflow to 34 m³ h⁻¹ enhanced the DFHEX-TCES peak temperature lift to approximately 9 °C, and extended the duration to nearly 90 min, roughly triple that of IBHEX-TCES under identical conditions. Furthermore, adopting a multilayer DFHEX-TCES extended this duration by more than twofold. This study demonstrates the practical feasibility of DFHEX-TCES for domestic water heating and highlights the advantages of the multilayer modular design in enhancing thermal performance.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"328 ","pages":"Article 136539"},"PeriodicalIF":9.0,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068786","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 copper-based chemical looping combustion system with integrated energy storage for combined cooling, heating, and power","authors":"Yadong Du ,&nbsp;Ce Yang ,&nbsp;Haimei Wang ,&nbsp;Hanzhi Zhang ,&nbsp;Ben Zhao ,&nbsp;Weidong Chen ,&nbsp;Kian Jon Ernest Chua","doi":"10.1016/j.energy.2025.136540","DOIUrl":"10.1016/j.energy.2025.136540","url":null,"abstract":"<div><div>In this study, a novel combined cooling, heating, and power (CCHP) system integrating a copper-based chemical looping combustion-driven Brayton cycle, a liquid natural gas (LNG) regasification unit, and a compressed carbon dioxide energy storage (CCES) is introduced. Through the development of a thermodynamic model, the system's performance benefits and exergy flow distribution are explained, followed by a detailed parametric analysis. The results indicate that the proposed system's round-trip efficiency, energy storage density, and discharge time surpass those of the standalone CCES unit by factors of 1.59, 17.63, and 3.25, respectively. The system achieves a thermal efficiency of 72.34 % and an exergy efficiency of 40.54 %, accompanied by concurrent changes in the cooling and heating power with the electrical output. Exergy analysis identifies the reactors as the primary contributor to exergy loss, followed by the heat exchanger1 during charge and the condenser during discharge. The parameter analysis reveals that all the considered parameters during discharge rationally regulate the heating and cooling power while modulating the electric power, whereas the compressor inlet parameters during charge can realize a reasonable power regulation only in a collaborative way. Meanwhile, each collaborative parameter demonstrates a maximum threshold value, characterized by a well-fitted dimensionless equation.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"328 ","pages":"Article 136540"},"PeriodicalIF":9.0,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068791","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":"Multi-objective optimization of the TPMS-Fin three-fluid heat exchanger for vehicles using RSM-NSGA-III","authors":"Xiaofei Wei ,&nbsp;Yejian Qian ,&nbsp;Yao Li ,&nbsp;Mingyao Yao ,&nbsp;Duode Qian ,&nbsp;Zhen Gong","doi":"10.1016/j.energy.2025.136462","DOIUrl":"10.1016/j.energy.2025.136462","url":null,"abstract":"<div><div>A novel TPMS-Fin three-fluid heat exchanger was developed by integrating TPMS with fins. The TPMS enables three isolated flow paths for simultaneous heat exchange between air and two liquid streams, while fins enhance air-side performance. The heat exchanger was fabricated using 3D printing and experimentally tested. A validated CFD model was established, and response surface methodology (RSM) combined with Non-dominated Sorting Genetic Algorithm III (NSGA-III) was employed for multi-objective optimization. Five design variables—hydraulic diameter (<em>d</em>), volume fraction (<em>V</em>), fin area percentage (<em>Fs</em>), fin pitch ratio (<em>w</em>) and inlet velocity (<em>u</em>)—were investigated with respect to unit length pressure drop (<em>ΔP/L</em>), volumetric heat transfer rate (<em>Qv</em>) and <em>j/f</em>. The manufacturing and testing parameters were established, including scanning speed of 1400 mm/s and fill area offset of 0.13 mm. The design variables exhibit nonlinear and strongly coupled spatial synergistic effects on the flow and heat transfer performance. Based on NSGA-III and TOPSIS, the optimal design achieved <em>ΔP/L</em> = 2.038 kPa/m, <em>Qv</em> = 2271 kW/m³ and <em>j/f</em> = 0.1032, corresponding to <em>d</em> = 6.11 mm, <em>V</em> = 11.16 %, <em>Fs</em> = 51.06 %, <em>w</em> = 0.16 and <em>u</em> = 4.04 m/s. Compared to the orginal design, <em>Qv</em> and <em>j/f</em> increased by 7.4 % and 6 %, respectively. The results offer insights into variable interactions and support future development of multi-fluid heat exchangers.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"328 ","pages":"Article 136462"},"PeriodicalIF":9.0,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072600","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}