Energy Storage and Saving最新文献_第3页

Improvement in energy conservation and thermal stability of a refrigerator through integration of phase change materials: a CFD analysis 相变材料集成对制冷机节能和热稳定性的改善：CFD分析

Energy Storage and Saving Pub Date : 2026-03-01 Epub Date: 2025-09-04 DOI: 10.1016/j.enss.2025.04.004

Mahbubul Muttakin, Farzana Akter, Salim Subah, Md Nurul Momen Chowdhury, Mohammad Rejaul Haque

{"title":"Improvement in energy conservation and thermal stability of a refrigerator through integration of phase change materials: a CFD analysis","authors":"Mahbubul Muttakin, Farzana Akter, Salim Subah, Md Nurul Momen Chowdhury, Mohammad Rejaul Haque","doi":"10.1016/j.enss.2025.04.004","DOIUrl":"10.1016/j.enss.2025.04.004","url":null,"abstract":"<div><div>Reducing the energy consumption of domestic refrigeration appliances has been a key research focus over the past decade. This study presents an innovative approach that integrates phase change materials (PCMs) in household refrigerators to enhance energy efficiency while optimizing storage space utilization. Unlike prior studies, this study comprehensively analyzes the combined effects of PCM placement, five types of PCM, and distribution, filling a critical gap in the literature. A combined vertical and horizontal PCM configuration was implemented, and its impact on the temperature distribution inside the compartments was analyzed using computational fluid dynamics (CFD) simulations in ANSYS Fluent. This study evaluated multiple PCM materials, including water, eutectic solutions and commercial PCMs such as caproic acid, E3, and puretemp-2, to identify the most effective materials for thermal stability. This study further explored the impact of various PCMs, revealing diverse cooling patterns and identifying caproic acid and E3 as superior choices for stabilizing temperatures within compartments. E3 displayed a slightly better result than caproic acid. Conversely, water as a PCM performed poorly. A constant PCM volume was considered for each case, taking only 6.6% of the compartment’s volume. Notably, the results demonstrate a maximum temperature reduction of 8.1% in the top compartment and 5.1% in the bottom compartment during compressor off-cycles, resulting in a 42% reduction in refrigeration load. These findings highlight the potential of PCM integration as a viable approach for enhancing refrigerator energy efficiency while maintaining optimal cooling performance.</div></div>","PeriodicalId":100472,"journal":{"name":"Energy Storage and Saving","volume":"5 1","pages":"Pages 57-71"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147749625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of OMEx e-fuels for CO2 emissions abatement in light-duty commercial vehicles OMEx电子燃料对轻型商用车二氧化碳减排的影响

Energy Storage and Saving Pub Date : 2026-03-01 Epub Date: 2025-08-05 DOI: 10.1016/j.enss.2025.06.001

Antonio Foglia , Pierpaolo Polverino , Ivan Arsie , Cesare Pianese

{"title":"Impact of OMEx e-fuels for CO2 emissions abatement in light-duty commercial vehicles","authors":"Antonio Foglia , Pierpaolo Polverino , Ivan Arsie , Cesare Pianese","doi":"10.1016/j.enss.2025.06.001","DOIUrl":"10.1016/j.enss.2025.06.001","url":null,"abstract":"<div><div>E-fuels, such as oxymethylene dimethyl ethers (OME<sub>x</sub>), represent a promising alternative to conventional fuels to reduce engine emissions and extend their durability. They are highly oxygenated fuels that allow emissions reduction because of smoke-free combustion. Recent studies have highlighted that adopting scaled injection systems can overcome their lower energy content. The aim of this work is to provide a preliminary well-to-wheel analysis by merging the most recent literature findings concerning well-to-tank with a detailed tank-to-wheel assessment. The analysis considers different OME<sub>x</sub> types and diesel/OME<sub>x</sub> blends to compute energy demand, fuel consumption, and carbon dioxide emissions of a delivery van subject to a given driving cycle. From literature evidence, the average improvement in engine efficiency attained by using pure OME<sub>x</sub> fuels has been estimated to be approximately 4.5% compared to pure diesel, with greater values for short-chain OME<sub>x</sub> (e.g., up to 10%). From the obtained results, a reduction in tank energy requirement was observed, with a minimum of −10% for pure OME<sub>2</sub>. However, fuel consumption increases because of OME<sub>x</sub> lower energy content, showing a growth ranging from 74% to 140% in mass and from 65% to 86% in volume with increasing chain length of pure OME<sub>x</sub>. The variation in CO<sub>2</sub> emissions is not univocal, since a reduction of almost −4% for pure OME<sub>1</sub> and an increase above 20% for pure OME<sub>4</sub> were achieved. The obtained results highlight how OME<sub>x</sub> with shorter chains can lead to greater efficiencies compared to pure diesel, with a slight reduction in CO<sub>2</sub> emissions.</div></div>","PeriodicalId":100472,"journal":{"name":"Energy Storage and Saving","volume":"5 1","pages":"Pages 72-83"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147750802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Monetization of life-cycle based environmental impacts: a case study on external environmental costs of steel-based wear parts for biogas plants 基于生命周期的环境影响货币化：沼气厂钢基易损件外部环境成本案例研究

Energy Storage and Saving Pub Date : 2026-03-01 Epub Date: 2025-08-08 DOI: 10.1016/j.enss.2025.05.003

Gerald Feichtinger, Wolfgang Posch

{"title":"Monetization of life-cycle based environmental impacts: a case study on external environmental costs of steel-based wear parts for biogas plants","authors":"Gerald Feichtinger, Wolfgang Posch","doi":"10.1016/j.enss.2025.05.003","DOIUrl":"10.1016/j.enss.2025.05.003","url":null,"abstract":"<div><div>This study investigates the external environmental costs (EEC) of steel-based wear-parts used in biogas plants by monetizing the life-cycle-based environmental impacts caused throughout the entire life cycle. A simplified cradle-to-grave based environmental life cycle assessment was conducted using the commonly applied ReCiPe assessment method. Two monetization approaches were used to comparatively calculate the EEC: recently published TruePrice factors and traditional ReCiPe-based factors. The analysis revealed that EEC account for 8% to 14% of total production costs, indicating significant additional expenses. These costs are primarily driven by the steel used in the components. Sensitivity analysis identified climate change, fossil depletion, and fine particulate matter formation as the most influential impact categories. A 5% increase in the monetization factors resulted in a 1.6% rise in overall EEC. The findings demonstrate that the choice of monetization method significantly influences the estimated EEC. Furthermore, the use of more sustainable steel offers the greatest potential for reducing both environmental and economic impacts associated with steel-based wear parts.</div></div>","PeriodicalId":100472,"journal":{"name":"Energy Storage and Saving","volume":"5 1","pages":"Pages 39-48"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147750804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Battery sizing and performance evaluation of battery electric vehicles 纯电动汽车电池尺寸及性能评价

Energy Storage and Saving Pub Date : 2026-03-01 Epub Date: 2025-10-17 DOI: 10.1016/j.enss.2025.05.008

Hari Maghfiroh , Oyas Wahyunggoro , Adha Imam Cahyadi

{"title":"Battery sizing and performance evaluation of battery electric vehicles","authors":"Hari Maghfiroh , Oyas Wahyunggoro , Adha Imam Cahyadi","doi":"10.1016/j.enss.2025.05.008","DOIUrl":"10.1016/j.enss.2025.05.008","url":null,"abstract":"<div><div>The adoption of electric vehicles (EVs) is a promising solution to reduce air pollution. Batteries serve as the primary energy storage system (ESS) in EVs, and their sizing significantly affects their overall performance. A straightforward method to determine the battery energy size is to integrate the power requirements over a given drive cycle. However, a key challenge arises because of the interdependence between battery energy size and battery mass, which requires an optimization approach. To address this issue, this study proposes an optimized battery sizing method using particle swarm optimization (PSO), selected for its simplicity and computational efficiency. A key novelty lies in the incorporation of traction motor dynamics via a transfer function model, which enables realistic performance estimation during optimization. The proposed method is validated against a conventional iterative sizing approach using both the worldwide harmonized light vehicle test cycle (WLTC) and a real driving cycle (RDC). The results show that PSO reduces the battery size by 4.67%, battery mass by 4.76%, and total cost by 4.75%. While the iterative method achieves a higher driving performance owing to a larger battery, the PSO-sized battery still achieves 224.5 km of autonomy and 10.37 years of estimated battery life under WLTC conditions. In RDC testing, the PSO method yields 270.2 km of autonomy and a 22.38-year battery life. These results demonstrate that PSO enables lightweight and cost-effective battery sizing while maintaining acceptable EVs performance. Future work will focus on multi-objective optimization to better balance costs, energy, and endurance.</div></div>","PeriodicalId":100472,"journal":{"name":"Energy Storage and Saving","volume":"5 1","pages":"Pages 49-56"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147750803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Smart grid cybersecurity: anomaly detection in solar power systems using deep learning 智能电网网络安全：利用深度学习的太阳能系统异常检测

Energy Storage and Saving Pub Date : 2026-03-01 Epub Date: 2025-07-26 DOI: 10.1016/j.enss.2025.04.001

Jagbir Singh , Owais Ahmad Shah , Sujata Arora

{"title":"Smart grid cybersecurity: anomaly detection in solar power systems using deep learning","authors":"Jagbir Singh , Owais Ahmad Shah , Sujata Arora","doi":"10.1016/j.enss.2025.04.001","DOIUrl":"10.1016/j.enss.2025.04.001","url":null,"abstract":"<div><div>This study explores the application of deep learning techniques, specifically long short-term memory (LSTM) networks, to detect anomalies in solar power production within a smart grid framework. Given the increasing integration of renewable energy sources such as solar power into electrical grids, ensuring cybersecurity and operational stability has become a critical challenge. The LSTM model was developed to capture the temporal dependencies in energy production data, demonstrating its ability to accurately predict production values and identify significant deviations. The model achieved a mean squared error (MSE) of 0.846 with a precision of 79%, although it showed a relatively lower recall of 33%, indicating the need for further optimization to enhance sensitivity. In a comparative analysis, the LSTM model was evaluated against a feedforward neural network (FFNN) and traditional isolation forest model. The FFNN outperformed the LSTM in key metrics, including accuracy, precision, recall, F1-score, and area under the curve (AUC)-receiver operating characteristic (ROC), highlighting its robustness in anomaly detection tasks. Conversely, the isolation forest model demonstrated a limited effectiveness. Despite the potential of the LSTM model, these results suggest that FFNNs currently provide a more reliable solution for detecting anomalies in solar power systems. The study also emphasized the importance of real-time anomaly detection and its implications for grid stability and reliability. By integrating advanced deep learning models into monitoring systems, operators can proactively manage and mitigate the impact of anomalies, thereby ensuring a stable power supply.</div></div>","PeriodicalId":100472,"journal":{"name":"Energy Storage and Saving","volume":"5 1","pages":"Pages 16-26"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147658248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Energy storage and saving technologies: a review on SDEWES 2023 special issue 储能与节能技术：SDEWES 2023特刊综述

Energy Storage and Saving Pub Date : 2026-03-01 Epub Date: 2025-10-10 DOI: 10.1016/j.enss.2025.08.001

Wenxiao Chu , Neven Duić , Qiuwang Wang

引用次数: 0

Optimizing passive cooling systems for PV/PCM performance: a study on fin geometry and phase change material variations in extreme climates 优化PV/PCM性能的被动冷却系统：极端气候下翅片几何形状和相变材料变化的研究

Energy Storage and Saving Pub Date : 2026-02-24 DOI: 10.1016/j.enss.2025.09.008

Singgih Dwi Prasetyo, Yuki Trisnoaji, Zainal Arifin, Aditya Rio Prabowo, Mohd Afzanizam Mohd Rosli

{"title":"Optimizing passive cooling systems for PV/PCM performance: a study on fin geometry and phase change material variations in extreme climates","authors":"Singgih Dwi Prasetyo, Yuki Trisnoaji, Zainal Arifin, Aditya Rio Prabowo, Mohd Afzanizam Mohd Rosli","doi":"10.1016/j.enss.2025.09.008","DOIUrl":"10.1016/j.enss.2025.09.008","url":null,"abstract":"<div><div>This study investigates the electrical and thermal performance of a photovoltaic phase-change material (PV-PCM) system, focusing on the three different fin container geometries (honeycomb, rectangular, and triangular), combined with four types of PCMs: capric acid, palmitic acid, paraffin wax, and PEG-6000. The electrical efficiency assessment revealed that capric acid combined with the honeycomb geometry achieved the highest electrical efficiency of 13.71%, while palmitic acid with triangular fins recorded the lowest at 13.67%. Despite the minimal numerical difference, these variations have significant implications for the overall energy output of PV systems, especially over extended operational periods. Thermal efficiency results showed a marked difference based on the PCM used, with PEG-6000 in the triangular fin geometry achieving the highest thermal efficiency of 19.12%. Conversely, capric acid with honeycomb fins exhibited a thermal efficiency of only 12.82%. Notably, the highest thermal efficiency did not correlate with the highest electrical efficiency, highlighting a critical trade-off between these two performance metrics. Statistical analysis indicated that capric acid exhibited the highest variance in electrical efficiency, indicating fluctuating performance, while paraffin wax demonstrated the smallest variance (2.1×10<sup>−11</sup>), signifying greater operational stability. Furthermore, ANOVA test results revealed significant differences in efficiency attributable to PCM type and fin geometry configurations, confirming the need for careful consideration when designing PV-PCM systems. This research provides novel insights into optimizing PV-PCM configurations, emphasizing a balanced approach between heat storage capacity and maintaining electrical efficiency. These findings underscore the critical role of PCM type and geometry in enhancing the operational performance and stability of PV systems.</div></div>","PeriodicalId":100472,"journal":{"name":"Energy Storage and Saving","volume":"5 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149204961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Thermal management of electric vehicle batteries using multiple PCMs 使用多个pcm的电动汽车电池的热管理

Energy Storage and Saving Pub Date : 2025-12-01 Epub Date: 2025-07-29 DOI: 10.1016/j.enss.2025.03.004

Esra Ahmed Khodadad, Bashir Eskander Kareem, Darawan Bazyan Dhahir, Ahmed Mohammed Adham

{"title":"Thermal management of electric vehicle batteries using multiple PCMs","authors":"Esra Ahmed Khodadad, Bashir Eskander Kareem, Darawan Bazyan Dhahir, Ahmed Mohammed Adham","doi":"10.1016/j.enss.2025.03.004","DOIUrl":"10.1016/j.enss.2025.03.004","url":null,"abstract":"<div><div>Electric car batteries experience high discharge rates that can result in elevated temperatures. To prevent thermal runaway and ensure safe operation, it is crucial to effectively manage and maintain the battery temperature within its optimal operating range. The use of paraffin-based phase change materials (PCMs) for cooling lithium-ion batteries is an effective passive cooling method. PCMs are highly effective for thermal energy storage owing to their high heat-storage capacity. However, their limited thermal conductivity restricts their effectiveness in thermal-management applications. This study conducted a numerical investigation into the thermal management of 18650 lithium-ion batteries using multiple PCMs, employing the commercial software ANSYS Fluent. The analysis involved uniform heat dissipation from the center of a cylindrical battery, which was submerged in a paraffin-based PCM and enclosed within a metal housing. A 2D model was used to reduce the computational costs by leveraging the geometric symmetry of the system. During battery discharge, individual PCMs with melting points of 35, 44, and 54 °C fully melt at 1000, 4000, and 7000 s, respectively. In contrast, when using multiple PCMs with melting points of 38, 42, 44, 47 °C, and 50 °C, complete melting occurred at 1,900, 2,000, 2,750, 3,050, and 3,500 s, respectively, for the same total mass. The temperature difference between the top and bottom of the battery was up to 6 °C for a single PCM, but this difference was significantly reduced by using multiple PCMs.</div></div>","PeriodicalId":100472,"journal":{"name":"Energy Storage and Saving","volume":"4 4","pages":"Pages 404-412"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145841268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A time series forecasting approach based on gradient boosting method for IoT-based solar energy production systems 基于梯度助推法的物联网太阳能发电系统时间序列预测方法

Energy Storage and Saving Pub Date : 2025-12-01 Epub Date: 2025-08-06 DOI: 10.1016/j.enss.2025.04.003

Hany Abdelsalam , Alireza Souri , Nihat İnanç

引用次数: 0

A novel fuzzy–backward/forward sweep power flow for uncertainty management in radial distribution network with photovoltaic generation 基于光伏发电的径向配电网不确定性管理的模糊前向/后向扫描潮流

Energy Storage and Saving Pub Date : 2025-12-01 Epub Date: 2025-08-06 DOI: 10.1016/j.enss.2025.05.002

Norhafidzah Mohd Saad , Muhammad Alif Mat Yusuf , Mohammad Fadhil Abas , Dwi Pebrianti , Norazila Jaalam , Suliana Ab. Ghani

{"title":"A novel fuzzy–backward/forward sweep power flow for uncertainty management in radial distribution network with photovoltaic generation","authors":"Norhafidzah Mohd Saad , Muhammad Alif Mat Yusuf , Mohammad Fadhil Abas , Dwi Pebrianti , Norazila Jaalam , Suliana Ab. Ghani","doi":"10.1016/j.enss.2025.05.002","DOIUrl":"10.1016/j.enss.2025.05.002","url":null,"abstract":"<div><div>This research presented a novel framework of fuzzy-backward/forward sweep (F-BFS) power flow to address uncertainties in radial distribution networks with photovoltaic generation. The F-BFS framework integrated fuzzified values to model uncertainty parameters in radial distribution network power flow analysis, whereas the Grey Wolf Optimizer (GWO) was employed to optimize photovoltaic distributed generation (PVDG) placement and sizing, aiming to minimize power losses and improve voltage deviations. Load uncertainties in the residential, commercial, and industrial sectors were modeled using triangular fuzzy membership functions derived from real-world data representing Malaysian urban loads. Simulations on the 33-bus distribution network validated the approach and demonstrated its effectiveness in handling fuzzy uncertainties across three load sectors. The findings showed that the proposed F-BFS-GWO method significantly reduced the total power losses and improved the voltage profiles. Under high load conditions, active power losses were reduced by approximately 28.04% in residential, 46.06% in commercial, and 46.24% in industrial sectors at the highest membership degree in the fuzzy set, compared to the scenario without photovoltaic generation. The critical voltage magnitudes at the weakest bus under high-load conditions in the fuzzy set also improve significantly, reaching nearly 1.0 p.u. The main contributions of this work are the integration of fuzzy-logic within a BFS framework to manage multi-sector load uncertainties, coupled with a hybrid F-BFS–GWO algorithm that enhances system planning and optimization under the risk of uncertainty of photovoltaic generation and load demand.</div></div>","PeriodicalId":100472,"journal":{"name":"Energy Storage and Saving","volume":"4 4","pages":"Pages 485-499"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0