Renewable EnergyPub Date : 2025-03-27DOI: 10.1016/j.renene.2025.122994
Afam Uzorka , Moses Wonyanya
{"title":"Design and performance evaluation of small-scale biogas digesters using locally available materials in rural Uganda","authors":"Afam Uzorka , Moses Wonyanya","doi":"10.1016/j.renene.2025.122994","DOIUrl":"10.1016/j.renene.2025.122994","url":null,"abstract":"<div><div>This research explores the design, fabrication, and performance evaluation of small-scale biogas digesters constructed from locally available materials in rural Uganda. The study evaluates the impact of different operational conditions, specifically temperature and hydraulic retention time (HRT), on the efficiency of biogas production. A series of digesters were constructed and tested under varying temperatures (35 °C, 45 °C, and 55 °C) and HRTs (5, 10, 15, 20, and 25 days). Performance metrics, including daily and cumulative biogas yields, were recorded and analyzed. Results indicated that digesters operating at 45 °C with a 25-day HRT yielded the highest cumulative biogas production, highlighting this combination as optimal for the local context. In contrast, higher temperatures (55 °C) resulted in decreased efficiency due to thermal stress, while lower temperatures (35 °C) produced lower yields. The study also examined the durability and maintenance requirements of digesters made from locally sourced materials, highlighting cost reductions as key advantages. A cost-benefit analysis revealed that the initial investment cost of the digester is recoverable in less than one year, depending on fuel savings and maintenance expenses. However, scaling up biogas technology in rural settings faces challenges, including initial costs, durability concerns, and limited community awareness.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122994"},"PeriodicalIF":9.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725443","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}
Renewable EnergyPub Date : 2025-03-27DOI: 10.1016/j.renene.2025.122966
Aman Meena , Anubha Jaiswal , Ravi P. Jaiswal
{"title":"Design optimization of microfluidic channels for enhanced internal cooling in air-breathing silicon photovoltaic modules","authors":"Aman Meena , Anubha Jaiswal , Ravi P. Jaiswal","doi":"10.1016/j.renene.2025.122966","DOIUrl":"10.1016/j.renene.2025.122966","url":null,"abstract":"<div><div>Silicon photovoltaic (Si-PV) modules experience a substantial reduction in light conversion efficiency (<em>LCE</em>) due to solar heating. This study utilized our previously developed ‘internal’ cooling architecture, which incorporates microfluidic channels embedded in the rear EVA layer of Si-PV modules to bypass the thermal resistance of Tedlar backsheet, termed “air-breathing” Si-PV, (patent application no. 202211050095). However, the literature lacks guidelines for optimizing the internal cooling geometrical parameters to further improve their performance. This study focuses on optimizing geometrical parameters (dimensions and number density) of two channel geometries, rectangular and cylindrical, using a COMSOL model. Si-PV modules, air-cooled through internal channels of varied volume fractions (VFs), exhibited a temperature rise of only 12–15 °C, significantly lower than the 25 °C rise observed in conventional PV modules. Rectangular channels offered superior cooling relative to cylindrical channels, with additional temperature reductions of 1.93 °C, 1.36 °C, and 1.40 °C at VFs of 40 %, 50 %, and 60 %, respectively. This cooling advantage reduced the <em>LCE</em> loss from 16.75 % in conventional PV modules to 9.63 % and 8.34 % for cylindrical and rectangular channels, respectively, based modified air-breathing Si-PV modules (at a VF of 40 %), with rectangular channels achieving an additional 1.3 % improvement in <em>LCE</em> over cylindrical ones.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"247 ","pages":"Article 122966"},"PeriodicalIF":9.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739399","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}
Renewable EnergyPub Date : 2025-03-27DOI: 10.1016/j.renene.2025.123003
Qiang Zhang , Ziqian Tian , Kaijun Jiang , Xiaoze Du , Qinghua Wang , Yuguang Niu
{"title":"A molten salt bypass flow steam temperature control strategy for steam generation system: system design, simulation modelling and validation","authors":"Qiang Zhang , Ziqian Tian , Kaijun Jiang , Xiaoze Du , Qinghua Wang , Yuguang Niu","doi":"10.1016/j.renene.2025.123003","DOIUrl":"10.1016/j.renene.2025.123003","url":null,"abstract":"<div><div>The steam generation system (SGS) is a critical thermal energy storage system, as it is responsible for converting stored thermal energy into useable steam, thereby enhancing the energy conversion efficiency and stability of the system. To address the challenge of steam temperature deviations during variable load conditions and to maximize the peaking potential of solar tower power plant, this study proposes an innovative steam temperature control strategy for SGS engaged in rapid peaking operations. A mathematical model of SGS and steam turbine assembly is established using the lump parameter method. Systematic step disturbance experiments are implemented on four variables, encompassing the salt side, water side, and the unit itself. The proposed control strategy is validated, demonstrating precise control of steam temperature and improving the subcooling degree of feed water at the preheater outlet by 1–2 °C. The strategy effectively maintained steam temperature within the target range of 540 ± 1 °C, showing superior stability compared to units without this control strategy, which exhibited main steam temperature deviations of 6.71 °C and reheat steam temperature deviations of 11.04 °C. This control strategy successfully decouples load and steam temperature, regulates the distribution of heat load in different heat exchangers, and ensures the safe and stable operation of the unit during rapid load changes.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"247 ","pages":"Article 123003"},"PeriodicalIF":9.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143768914","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}
Renewable EnergyPub Date : 2025-03-27DOI: 10.1016/j.renene.2025.122929
Zhengkun Feng , Jun Shen , Qingguo Zhou , Xingchen Hu , Binbin Yong
{"title":"Hierarchical gated pooling and progressive feature fusion for short-term PV power forecasting","authors":"Zhengkun Feng , Jun Shen , Qingguo Zhou , Xingchen Hu , Binbin Yong","doi":"10.1016/j.renene.2025.122929","DOIUrl":"10.1016/j.renene.2025.122929","url":null,"abstract":"<div><div>In this paper, we propose a hierarchical gated pooling and progressive feature fusion model (HGP-PFF) for short-term photovoltaic (PV) power forecasting. HGP-PFF effectively overcomes the limitations of existing methods in multi-scale feature extraction and fusion by introducing a hierarchical gated pooling (HGP) module and a progressive feature fusion (PFF) module. This model replaces traditional convolution operations with a pooling gate mechanism for feature extraction, efficiently capturing features across different time scales. HGP-PFF also employs a PFF module to ensure the completeness and consistency of the fused feature information. The proposed HGP-PFF model is applied to three different PV power datasets collected from the Alice Springs PV power station. Compared to previous state-of-the-art (SOTA) models the proposed HGP-PFF model reduces the PV power forecasting error by more than 19.57%, 22.27% and 13.67% on these three PV power datasets.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"247 ","pages":"Article 122929"},"PeriodicalIF":9.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143746955","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}
Renewable EnergyPub Date : 2025-03-27DOI: 10.1016/j.renene.2025.122989
Xiaohui Yu, Yuran Pang, Sensen Jiang, Bin Yang
{"title":"Thermodynamic investigation of the photovoltaic direct-drive direct-expansion embedded microchannel refrigeration system for electronic device cooling","authors":"Xiaohui Yu, Yuran Pang, Sensen Jiang, Bin Yang","doi":"10.1016/j.renene.2025.122989","DOIUrl":"10.1016/j.renene.2025.122989","url":null,"abstract":"<div><div>The vapor compression refrigeration system is one of the crucial solutions to cooling electronic devices with high heat flux. This paper proposes a novel photovoltaic direct-drive direct-expansion embedded microchannel refrigeration system for cooling electronic devices with high heat flux. This system combines photovoltaic direct-drive technology, microchannel direct cooling technology and vapor compression refrigeration technology. An experimental bench was set up and tested under different running conditions. The energy and exergy analysis was used to evaluate the system performance and provide optimization and improvement directions for the electronic device cooling method. The results show that the highest system COP is 3.67 with a continuous operation time of 6.1 h when the average solar radiation intensity is 935.5 W/m<sup>2</sup> and the cooling capacity is 550 W. At that time, the daily average exergy efficiency of the proposed system is 18.5 %. As the ambient temperature increases from 29.0 °C to 36.1 °C, the power consumption of the compressor grows from 148.2 W to 181.3 W, rising by 22.3 %. The COP decreases by 20.0 % from 3.54 to 2.83 at the cooling capacity of 500 W. The PV cells exhibit the maximum exergy loss, which accounts for 91.18 %. Followed by the compressor, which accounts for 85.64 % of the VCR subsystem at an ambient temperature of 36.1 °C.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"247 ","pages":"Article 122989"},"PeriodicalIF":9.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143746765","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}
Renewable EnergyPub Date : 2025-03-27DOI: 10.1016/j.renene.2025.123000
Jawad Hussain , Yang Han , Qi Huang , Congling Wang , Fazal Hussain , Syed Adrees Ahmed
{"title":"A fully decentralized prosumer-centric peer-to-peer energy trading of photovoltaic and battery energy for social welfare maximization considering system voltage constraints","authors":"Jawad Hussain , Yang Han , Qi Huang , Congling Wang , Fazal Hussain , Syed Adrees Ahmed","doi":"10.1016/j.renene.2025.123000","DOIUrl":"10.1016/j.renene.2025.123000","url":null,"abstract":"<div><div>A novel decentralized peer-to-peer (P2P) energy trading approach is proposed for photovoltaic and battery energy trading considering network voltage constraints between sellers and buyers to maximize social welfare (SW). The prioritized prosumer Node Coloring Based Distributed Alternating Direction Method of Multipliers (NCBD-ADMM) is a fully decentralized approach proposed to select seller and buyer prosumers according to their utility and pricing function to maximize SW and improve prosumers’ privacy in a P2P network. Additionally, it is a communication-efficient approach that reduces the number of communications between prosumers and iterations required to converge. A novel two-stage limit trading strategy is also proposed to maintain system voltage within safe operating ranges and increase the benefits received by prosumers from P2P trading. This approach is tested on an IEEE-14 bus system and compared with five different strategies in four real-world scenarios. The numerical and simulation results demonstrate that the proposed approach can enhance overall social welfare by up to 7.55 % compared to other state-of-the-art methods, without compromising voltage stability. Furthermore, the proposed approach is compared with other existing state-of-the-art approaches across five different performance metrics. All the metrics demonstrate approximately 100 % across all scenarios for the proposed approach, compared to other state-of-the-art approaches.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"247 ","pages":"Article 123000"},"PeriodicalIF":9.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143746957","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}
Renewable EnergyPub Date : 2025-03-26DOI: 10.1016/j.renene.2025.122983
Fuxiang Dong , Shiyu Ju , Jinfu Liu , Daren Yu , Hong Li
{"title":"An ultra-short-term wind power robust prediction method considering the periodic impact of wind direction","authors":"Fuxiang Dong , Shiyu Ju , Jinfu Liu , Daren Yu , Hong Li","doi":"10.1016/j.renene.2025.122983","DOIUrl":"10.1016/j.renene.2025.122983","url":null,"abstract":"<div><div>The increasing magnitude of wind power integration into the grid amplifies its influence on grid stability. The optimal scheduling of the power grid needs precise power forecasting of wind farms. When employing wind power prediction results for scheduling, it is generally important to cautiously estimate the power output to prevent significant power deficits. This study introduces a novel wind power prediction approach incorporating adjustable robustness. The approach modifies the correlation between the predicted and the actual value using an asymmetric loss function. This adjustment enhances the ratio that the predicted value is lower than the actual value while minimizing the effect on the accuracy. Furthermore, given the periodic nature of the wind direction, a decoding method is used. This approach can enhance the understanding of the periodic features of wind direction. The results demonstrate that the proposed asymmetric loss function enhances the probability of the predicted wind power being lower than the actual value by 20.91 % when the asymmetric coefficient of the loss function is 0.3. Furthermore, the wind decoding method decreases the <em>MAE</em> (mean absolute error) by 3.82 %. In two additional datasets, the model exhibits the same effect, demonstrating the generalization capability of the developed approach.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"247 ","pages":"Article 122983"},"PeriodicalIF":9.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739401","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}
Renewable EnergyPub Date : 2025-03-26DOI: 10.1016/j.renene.2025.122982
Fei Xu, Xianhua Wu, Ruihua Zhang
{"title":"Study of wind speed and direction at Yangshan Port","authors":"Fei Xu, Xianhua Wu, Ruihua Zhang","doi":"10.1016/j.renene.2025.122982","DOIUrl":"10.1016/j.renene.2025.122982","url":null,"abstract":"<div><div>This study focuses on Yangshan Port as a case study, employing a two-parameter Weibull model to simulate wind speed and a mixed von Mises model to characterize wind direction. The findings demonstrate that the sixth-order mixed von Mises model provides an accurate representation of the wind direction distribution in the region. Furthermore, the bivariate joint probability density function of wind speed and direction is successfully derived using the Gumbel Copula function. Additionally, the wind energy density at Yangshan Port is evaluated under the dependency structures of three distinct Copula functions, with the results consistently falling within the range of [244.049 W/m<sup>2</sup>, 244.541 W/m<sup>2</sup>]. These outcomes offer a comprehensive understanding of the wind energy potential and distribution patterns at the study site.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"247 ","pages":"Article 122982"},"PeriodicalIF":9.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739405","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":"Optimizing novel device configurations for perovskite solar cells: Enhancing stability and efficiency through machine learning on a large dataset","authors":"Frendy Jaya Kusuma , Eri Widianto , Wahyono , Iman Santoso , Sholihun , Moh. Adhib Ulil Absor , Setyawan Purnomo Sakti , Kuwat Triyana","doi":"10.1016/j.renene.2025.122947","DOIUrl":"10.1016/j.renene.2025.122947","url":null,"abstract":"<div><div>Perovskite solar cells (PSCs) have emerged as promising, cost-effective, and efficient alternatives to silicon-based solar cells, yet achieving both high stability and efficiency remains challenging. To address these challenges, we developed Random Forest and Extreme Gradient Boosting models to optimize the stability and power conversion efficiency (PCE) of PSCs, using a large dataset from the Perovskite Database. Our models demonstrated strong predictive performance, achieving an accuracy of 0.848 in stability classification and an R<sup>2</sup> of 0.751 for PCE prediction on the test set. Stability prediction used a classification approach, labeling devices as stable if they retained at least 80 % of their initial PCE after 1,000 h, a threshold that allows the inclusion of both T<sub>80</sub> and E<sub>1000h</sub> data. Using the trained models, we do high-throughput screening of 29,016 new device configurations with varied cell architectures, electron transport layers, hole transport layers, and perovskite ion compositions. Among these, we identified 100 top-performing, predicted stable lead-based PSCs configurations with potential PCEs reaching up to 26.06 %, surpassing the highest stable device in the Perovskite Database, which has a PCE of 22.3 %. This study demonstrates that machine learning-driven approaches can effectively guide PSCs optimization, surpassing the performance of previously reported configurations.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"247 ","pages":"Article 122947"},"PeriodicalIF":9.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759266","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":"Calibrating underwater photovoltaic performance: Demonstration using monocrystalline and polycrystalline silicon solar cells","authors":"Nilofar Naaz , Shubhrajit Dutta , Sanket Goel , Kannan Ramaswamy","doi":"10.1016/j.renene.2025.122993","DOIUrl":"10.1016/j.renene.2025.122993","url":null,"abstract":"<div><div>The present investigations discuss methodologies to report the photovoltaic efficiency of solar cells in submerged conditions measured using simulated AM 1.5G using Xenon and LED lamps. These protocols have been arrived at from the photovoltaic measurements in encapsulated monocrystalline and polycrystalline silicon solar cells immersed in water up to a depth of 20 cm. Three equations are proposed to judge the efficiency of the solar cells in underwater conditions based on the input irradiance that is incident on the cells. It is suggested that the helpful efficiency metric is the one in which a corrected irradiance falls on the cells. The correction factors for the irradiance are based on the properties of the light source used in the solar simulator and the spectral response limitations of the pyranometer used for the experimental irradiance measurements underwater. Experimental data from monocrystalline and polycrystalline silicon solar cells show efficiency reductions of 43 % and 56 % at a depth of 20 cm compared to the efficiencies at the water surface due to reduced irradiance underwater. The present investigations indicate that solar cell efficiencies are overestimated by 59 % and 64 % for monocrystalline silicon solar cells and polycrystalline silicon solar cells underwater at 20 cm if the corrections are not considered. The efficiency calibration procedures applied to a commercially available solar panel predict a decrease in the photovoltaic efficiency of 45 % at 20 cm depth underwater. Furthermore, the suitability of different materials for applications at various depths is also discussed based on the absorption efficiency calculations of a solar cell material in submerged conditions. The experimental measurements of illuminations underwater could be improved by using a submersible pyranometer with a spectral response that matches the AM 1.5 G radiation.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"247 ","pages":"Article 122993"},"PeriodicalIF":9.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739400","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}