Renewable Energy最新文献_第4页

Effects of clouds on thermal performance of the receiver in the concentrated solar power tower system 云对聚光太阳能发电塔式系统接收机热性能的影响

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2026-04-15 Epub Date: 2026-02-06 DOI: 10.1016/j.renene.2026.125396

Zhenjie Wan , Jikang Su , Youda Li , Lin Huang , Yabin Jin , Jinjia Wei

{"title":"Effects of clouds on thermal performance of the receiver in the concentrated solar power tower system","authors":"Zhenjie Wan , Jikang Su , Youda Li , Lin Huang , Yabin Jin , Jinjia Wei","doi":"10.1016/j.renene.2026.125396","DOIUrl":"10.1016/j.renene.2026.125396","url":null,"abstract":"<div><div>For the concentrated solar power tower system, the cloud cover blocks the heliostats, and the concentrated heat flux fluctuates, resulting in thermal stress and thermal fatigue failure of the receiver. To mitigate the effects of the clouds, a method that could project cloud shadows onto a heliostat field was proposed. Then, we investigated the effects of the cloud shadows on the heliostat field and thermal performance of the receiver. The results indicated that the cloud features had a huge impact on the performance. The concentrated heat flux fluctuated when the cloud shadows varied, bringing challenges to the safe operation of the receiver. With the same shadow ratio, the heliostats blocked might be different, so that the concentrated heat flux distribution varied. The shadow ratio could be used to predict energy production of the receiver under cloudy conditions, but it was not reasonable for evaluating the safe operation of the receiver. The moving cloud cover resulted in fluctuation of the concentrated heat flux, brought risk of thermal fatigue for the tubes. For a shadow ratio reduction of 22.51%, the maximum concentrated heat flux could increase by 343.89%, and the tubes might suffer from severe thermal shock loads. If the transmittance was lower than 0.6, the concentrated heat flux distribution was significantly affected. For the safe operation of the receiver, it is necessary to monitor the cloud features, and an advanced cloud detection method should be developed.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"262 ","pages":"Article 125396"},"PeriodicalIF":9.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186360","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

Evaluating net-zero energy buildings and their grid interaction: A comprehensive framework for operational phase and a Nordic case study 评估净零能耗建筑及其电网相互作用：运营阶段的综合框架和北欧案例研究

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2026-04-15 Epub Date: 2026-02-12 DOI: 10.1016/j.renene.2026.125435

Matti Aro , Terttu Vainio , Paula Ala-Kotila , Anu Purhonen , Kari Mäki , Pertti Järventausta

{"title":"Evaluating net-zero energy buildings and their grid interaction: A comprehensive framework for operational phase and a Nordic case study","authors":"Matti Aro , Terttu Vainio , Paula Ala-Kotila , Anu Purhonen , Kari Mäki , Pertti Järventausta","doi":"10.1016/j.renene.2026.125435","DOIUrl":"10.1016/j.renene.2026.125435","url":null,"abstract":"<div><div>This paper presents a synthesized evaluation framework for assessing Net-Zero Energy Buildings (NZEBs) during their operational phase, with a specific focus on grid interaction under real market conditions. The framework integrates four established Key Performance Indicators (KPIs): Load/Generation Balance, Self-Consumption Rate, Emission Reduction Rate and Cost Reduction Rate – using high-resolution operational data, hourly grid emission factors, and spot prices. Demonstrated through a case study of a large Finnish residential NZEB equipped with a ground-source heat pump and off-site solar PV, the analysis reveals both the potential and limitations of PV-based solutions in cold climates. While the system achieved an 89% annual load/generation balance, hourly analysis showed a 31% self-consumption rate, with most PV production exported during periods of low prices and low emissions. Operational emissions and electricity costs were reduced by 56% and 41%, respectively, compared to a baseline without PV. However, sensitivity analysis indicates that economic outcomes are highly dependent on prevailing market conditions, highlighting the importance of multi-year evaluation. The framework's parallel KPIs, when used collectively, enable stakeholders to assess trade-offs and guide practical decisions regarding demand-side management, energy storage, and operational strategies. The economic analysis focuses on market exposure, including O&M costs for PV, but excluding investment costs. The framework is flexible and can be applied to NZEBs with various configurations, supporting robust, data-driven decision-making for improved cost-effectiveness and decarbonization.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"262 ","pages":"Article 125435"},"PeriodicalIF":9.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186416","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

Two-stage scenario generation of hydro-wind-solar complementary system based on improved variational autoencoder and generative adversarial networks model 基于改进变分自编码器和生成对抗网络模型的水风光互补系统两阶段情景生成

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2026-04-15 Epub Date: 2026-02-02 DOI: 10.1016/j.renene.2026.125358

Zhong-kai Feng , Xin Wang , Wen-jing Niu , Jian-bing Li , Jun Zhang , Tao Bai

{"title":"Two-stage scenario generation of hydro-wind-solar complementary system based on improved variational autoencoder and generative adversarial networks model","authors":"Zhong-kai Feng , Xin Wang , Wen-jing Niu , Jian-bing Li , Jun Zhang , Tao Bai","doi":"10.1016/j.renene.2026.125358","DOIUrl":"10.1016/j.renene.2026.125358","url":null,"abstract":"<div><div>With the rapid development of new energy technologies, quantifying the spatial-temporal correlation between runoff and wind power and solar power generation capacity and generating representative high-dimensional coupled scenario sets have become urgent issues. As existing methods struggle to generate high-dimensional, long-term reliable scenarios under small sample conditions, this paper proposes a two-stage long-term scenario generation method for runoff-wind-solar integration. In the first stage, it couples generative adversarial network with variational autoencoder, and improves the model by introducing Wasserstein distance and loss weight coefficients to ensure training stability, scenario quality and diversity, and enable initial learning of distribution characteristics from small sample annual data. In the second stage, it incorporates Cholesky decomposition and quantile mapping to enhance the spatial-temporal correlation of scenario sets, thus obtaining highly reliable scenario sets that retain the spatial-temporal features of original data. Validation against scenarios from single-stage VAE-GAN, GAN, VAE and Copula proves the proposed method's effectiveness: in the three-element scenarios, the average absolute error of Kendall correlation coefficient reaches 0.03, 0.02 and 0.04 respectively. This method can provide key technical support for the long-term planning and dispatching of runoff-wind-solar complementary systems.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"262 ","pages":"Article 125358"},"PeriodicalIF":9.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186255","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

Experimental study on space heating performance of PVT-air dual heat source direct expansion heat pump system based on micro heat pipe arrays 基于微热管阵列的pvt -空气双热源直扩热泵系统空间采暖性能实验研究

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2026-04-15 Epub Date: 2026-02-02 DOI: 10.1016/j.renene.2026.125383

Ze Bai , Yaohua Zhao , Zhenhua Quan , Haibo Ren , Chenyang Du

{"title":"Experimental study on space heating performance of PVT-air dual heat source direct expansion heat pump system based on micro heat pipe arrays","authors":"Ze Bai , Yaohua Zhao , Zhenhua Quan , Haibo Ren , Chenyang Du","doi":"10.1016/j.renene.2026.125383","DOIUrl":"10.1016/j.renene.2026.125383","url":null,"abstract":"<div><div>To address the growing demand for efficient and renewable heating, a novel dual source direct expansion PVT-air heat pump system integrating a PVT-air evaporator based on micro heat pipe arrays is proposed. This design overcomes limitations of conventional flat-plate PVT evaporators, such as high-pressure loss, low solar energy utilization and unstable system energy supply. The system was experimentally evaluated under winter space heating conditions. Results showed a maximum thermal efficiency of 35%, power generation efficiency of 17%, <em>COP</em> of 3.52, and exergy efficiency of 21% under average solar irradiance of 654 W/m<sup>2</sup>, ambient temperature of 5.1 °C, and wind speed of 2.6 m/s. <em>COP</em> increased by up to 12.5% and exergy efficiency by 43.4% per 100 W/m<sup>2</sup> rise in solar irradiance, while a 5 K rise in load water temperature reduced <em>COP</em> by 8.4% and exergy efficiency by 4.7%. The system demonstrated stable switching between solar and air heat sources. Compared to the conventional tube-and-sheet PVT direct expansion heat pump, the proposed system achieved 4.5%, 33.5%, and 20% improvements in <em>COP</em>, power generation efficiency, and <em>COP</em><sub><em>PVT</em></sub>, respectively. The dimensionless pressure loss of the PVT-air evaporator based on micro heat pipe arrays was also 87% lower than that of the fin-tube heat exchanger. These results confirm the system's excellent performance, reliability, and potential for practical heating applications.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"262 ","pages":"Article 125383"},"PeriodicalIF":9.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186262","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

Two-stage distributionally robust optimization-based configuration for a wind-PV- storage energy system incorporating seasonal hydrogen storage 结合季节性储氢的风电光伏储能系统的两阶段分布鲁棒优化配置

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2026-04-15 Epub Date: 2026-02-05 DOI: 10.1016/j.renene.2026.125379

Lei Wen, Yanzi Zhang

{"title":"Two-stage distributionally robust optimization-based configuration for a wind-PV- storage energy system incorporating seasonal hydrogen storage","authors":"Lei Wen, Yanzi Zhang","doi":"10.1016/j.renene.2026.125379","DOIUrl":"10.1016/j.renene.2026.125379","url":null,"abstract":"<div><div>Under the backdrop of global energy transition, the high-penetration wind and solar integration is facing the dual challenges of output uncertainty and seasonal fluctuation. Against this backdrop, this study presents a wind-PV-storage energy system incorporating seasonal hydrogen storage to facilitate large-scale cross-seasonal renewable energy utilization. To handle multiple uncertainties in wind-PV output and electricity load, an uncertainty set based on composite norms is constructed. A two-stage distributionally robust optimization model based on probability distribution is designed. The first-stage minimizes the system's average annual investment cost to optimize equipment capacities. The second-stage minimizes operation and maintenance costs considering power curtailment penalty in the worst scenario probability distribution of uncertain parameters, to optimize equipment output and the start-stop states of energy storage devices. The resolution of the model is achieved efficiently via the column and constraint generation algorithm. Case studies demonstrate that the system with seasonal hydrogen storage significantly enhances wind-solar complementarity utilization and ensures a stable power supply across seasons compared to non-hydrogen configurations, bringing the system curtailment rate down from 37.68% to 5.00% more cost-effectively. Comparative analysis confirms that the two-stage distributionally robust optimization model based on composite norms achieves a more optimal balance between robustness and economic efficiency.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"262 ","pages":"Article 125379"},"PeriodicalIF":9.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186369","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

Influence of nano-enhanced phase change material on the charging performance for multi-tube non isothermal horizontal latent heat thermal energy storage exchanger 纳米增强相变材料对多管非等温卧式潜热蓄热换热器充能性能的影响

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2026-04-15 Epub Date: 2026-02-05 DOI: 10.1016/j.renene.2026.125355

Shaobin Zhou , Chuang Guan , Shengjie Wang , Jiaqi Sun , Suoying He , Ming Gao

{"title":"Influence of nano-enhanced phase change material on the charging performance for multi-tube non isothermal horizontal latent heat thermal energy storage exchanger","authors":"Shaobin Zhou , Chuang Guan , Shengjie Wang , Jiaqi Sun , Suoying He , Ming Gao","doi":"10.1016/j.renene.2026.125355","DOIUrl":"10.1016/j.renene.2026.125355","url":null,"abstract":"<div><div>In order to improve the performance of horizontal latent heat thermal energy storage exchanger, this paper proposes a new partition structure of Nano-Enhanced Phase Change Material Non Isothermal Multi-Tube Horizontal Latent Heat Thermal Energy Storage exchanger (NE-MN-LHTES). The influence of Nano-Enhanced Phase Change Material (NEPCM) composition and inner tube position on the charging performance is studied by simulation. The results indicate that placing NEPCM with high, medium and low nanoparticle concentrations in the upper, lower and middle zones of heat exchanger, respectively, which can maximize natural convection and heat conduction effects, the charging performance is superior to that of using NEPCM with one nanoparticle concentration in different zones. Under this NEPCM composition, the response surface method is used to optimize the inner tube position. The better charging performance is achieved when the distances between the top, middle and low inner tubes and outer shell are 19.86 mm, 8.95 mm and 6.24 mm. Compared with the absence of nanoparticle, the local melting time decreases by 20.9%, the charging rate increases by 16%, average temperature and liquid fraction non-uniformity coefficients are 5.57 K and 0.096. The results provide ideas for optimization of single heat exchanger for multi heat sources waste heat recovery.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"262 ","pages":"Article 125355"},"PeriodicalIF":9.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186371","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

Hydrogen production through renewable energy and storage systems: Economic viability and market expansion 通过可再生能源和储存系统制氢：经济可行性和市场扩张

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2026-04-15 Epub Date: 2026-01-28 DOI: 10.1016/j.renene.2026.125338

Xuwen Cao , Miao Li , Yangcui Weng , Pu Xie

{"title":"Hydrogen production through renewable energy and storage systems: Economic viability and market expansion","authors":"Xuwen Cao , Miao Li , Yangcui Weng , Pu Xie","doi":"10.1016/j.renene.2026.125338","DOIUrl":"10.1016/j.renene.2026.125338","url":null,"abstract":"<div><div>This study proposes the best way to produce green hydrogen by combining a solar-wind renewable energy system with hydro-pumped energy storage and grid connection. The goal is to ensure the electrolyzer operates reliably over the long term while enhancing overall economic performance amid changing conditions in the renewable energy and power markets. We created a mixed-integer nonlinear optimization framework to coordinate the scheduling of hydrogen production, renewable energy generation, energy storage dispatch, and grid interaction. The results show that the integrated renewable energy–hydro-pumped storage–electrolyzer system can operate effectively by strategically importing electricity when prices are low and exporting excess energy when prices are high. Combining storage and market involvement makes the system more flexible and more profitable, enabling stable hydrogen production even when renewable energy sources are not always available. The economic role of hydro-pumped energy storage is strengthened by more variable electricity prices and more renewable energy sources. This results in much greater storage utilization and better system performance. The proposed operational strategy emphasizes the importance of market-responsive energy management and hydrogen production enabled by storage for the economical and reliable deployment of green hydrogen. The framework provides useful guidance on integrating large-scale renewable energy, energy storage, and hydrogen systems in real-world settings, helping drive the shift to low-carbon energy systems and lower emissions.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"262 ","pages":"Article 125338"},"PeriodicalIF":9.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186376","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

City-scale estimation of actual available rooftop areas for solar photovoltaic using a two-stage SegFormer based model 使用基于两阶段SegFormer模型的太阳能光伏屋顶实际可用面积的城市尺度估计

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2026-04-15 Epub Date: 2026-01-28 DOI: 10.1016/j.renene.2026.125342

Lingshuang Dong , Jinfeng Xie , Yi Zhang

{"title":"City-scale estimation of actual available rooftop areas for solar photovoltaic using a two-stage SegFormer based model","authors":"Lingshuang Dong , Jinfeng Xie , Yi Zhang","doi":"10.1016/j.renene.2026.125342","DOIUrl":"10.1016/j.renene.2026.125342","url":null,"abstract":"<div><div>Development of rooftop photovoltaic (RPV) systems in the urban area plays a crucial role in sustainable energy transformation. However, few studies have accurately assessed RPV potential with the consideration of various superstructures that prevent installation. To address this gap, this study presents a Two-Stage Available RPV Area Extraction (TS-ARPVAE) model based on SegFormer to precisely identify areas suitable for RPV installation in complex urban environments. The proposed model comprises two stages: RoofSeg for extracting roof boundaries and AvailSeg for identifying available areas by excluding rooftop superstructures. To support model development, we established the first comprehensive dataset focusing on available RPV areas in urban contexts, featuring diverse rooftop categories and standardized annotation protocols. The model achieves 93.28 % accuracy, outperforming traditional single-stage approaches. Applied to Shenzhen, China, our analysis reveals that 110.5 km<sup>2</sup> (64 %) of the total 170.9 km<sup>2</sup> rooftop area is suitable for RPV installation, with industrial and warehousing buildings showing the highest installation potential. Buildings with larger roof areas exhibit higher percentages of available RPV area. Across Shenzhen's nine districts, the availability percentages range from 56.24 % to 76.82 %. Shenzhen's estimated rooftop solar capacity could reach 22.1 GW, with potential generation of 19,028.8 GWh in 2024.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"262 ","pages":"Article 125342"},"PeriodicalIF":9.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186317","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 global component-level operation optimization method for distributed energy systems with solid oxide fuel cell 固体氧化物燃料电池分布式能源系统整体组件级运行优化方法

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2026-04-15 Epub Date: 2026-02-04 DOI: 10.1016/j.renene.2026.125391

Xiuxia Hao , Keqi Chen , Wenjie Gang , Zhengkai Tu

{"title":"A global component-level operation optimization method for distributed energy systems with solid oxide fuel cell","authors":"Xiuxia Hao , Keqi Chen , Wenjie Gang , Zhengkai Tu","doi":"10.1016/j.renene.2026.125391","DOIUrl":"10.1016/j.renene.2026.125391","url":null,"abstract":"<div><div>Distributed energy system integrated with solid oxide fuel cell (DES&SOFC) can be an efficient alternative to hydrogen utilization in buildings. Energy storage systems can help improve the system's reliability and efficiency. Appropriate control plays an important role in improving the performance of DES&SOFCs. In this study, a global component-level operation optimization method is proposed for the DES&SOFC with energy storage by decoupling the integration of the thermal and electrical energy systems. The optimal operation of primary components (i.e. states, loads, temperature, fan speed, power change/discharge, etc.) is obtained considering the low-carbon interaction with the grid. The method is verified in a DES&SOFC system serving an office building. Results demonstrate that the proposed method can effectively improve the energy efficiency of the DES&SOFC system and 9.4% less electricity is consumed to meet the thermal demands compared with the traditional method. The flexibility of the DES&SOFC system is enhanced which can always respond to the grid with lower emissions. The total carbon dioxide emissions can be reduced by 19.7% and 29.9% on the two typical days. This study would provide very practical and effective technical support to promote the application of SOFC and hydrogen in commercial buildings and communities.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"262 ","pages":"Article 125391"},"PeriodicalIF":9.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186328","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

Hybrid GA-PSO-optimized neural network for biogas production: Comparative evaluation of metaheuristic algorithms 混合ga - pso优化的沼气生产神经网络：元启发式算法的比较评价

IF 9.1 1区工程技术

Renewable Energy Pub Date : 2026-04-15 Epub Date: 2026-02-12 DOI: 10.1016/j.renene.2026.125432

Arezoo Ghadiri , Maryam Pazoki , Saeed Erfani

{"title":"Hybrid GA-PSO-optimized neural network for biogas production: Comparative evaluation of metaheuristic algorithms","authors":"Arezoo Ghadiri , Maryam Pazoki , Saeed Erfani","doi":"10.1016/j.renene.2026.125432","DOIUrl":"10.1016/j.renene.2026.125432","url":null,"abstract":"<div><div>Biogas derived from biomass is increasingly being recognized among researchers as a key component in clean and sustainable energy systems. To predict biogas production under various operating conditions, this study develops an artificial neural network (ANN) model that is separately optimized with four metaheuristic techniques—genetic algorithm (GA), particle swarm optimization (PSO), imperialist competitive algorithm (ICA), and a hybrid GA-PSO approach. In this model, three process factors, including NaOH concentration, temperature, and reaction time, are used to predict four outputs: methane production, methane concentration, methane efficiency, and volatile solids removal. For methane concentration, the hybrid GA-PSO method regularly produced the best results: R ≈ 0.93 and RMSE ≈0.22; for volatile solids removal, R ≈ 0.96 and RMSE ≈0.15; other outputs showed R ≈ 0.89–0.90 with RMSE ≈0.28. Sensitivity analysis revealed that temperature and NaOH concentration are the main drivers of methane yield. These results demonstrate the effectiveness of hybrid optimization in improving ANN-based biogas models and provide practical recommendations on how to improve anaerobic digestion performance.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"262 ","pages":"Article 125432"},"PeriodicalIF":9.1,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146186415","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