Renewable and Sustainable Energy Reviews最新文献

{"title":"Regulatory sandbox for electric mobility: Enhancing charging infrastructure and innovation","authors":"Ariane Fucci Wady ,&nbsp;Flávia Luciane Consoni","doi":"10.1016/j.rser.2025.115496","DOIUrl":"10.1016/j.rser.2025.115496","url":null,"abstract":"<div><div>This study proposes the adoption of the Regulatory Sandbox as a tool for normative experimentation and subsequent policy development, aiming to accelerate the transition to electric mobility while ensuring greater legal certainty in the legislative adjustments required. Electric mobility constitutes a technological advancement offering multiple benefits; however, it faces significant challenges, particularly in Brazil, regarding charging infrastructure. Regulatory uncertainty is a critical barrier to infrastructure development, undermining business models and deterring investments. Key issues include defining energy tariffs, taxation policies, and classifying energy as a commodity or service. The study underscores the urgency of regulatory advancements and highlights risks associated with the absence of an adaptive framework for fostering national electric mobility. The primary objective is to demonstrate how a “core” regulatory experimentation process can lay the foundation for “satellite” initiatives aimed at constructing a flexible regulatory framework tailored to emerging technologies. It also addresses the critical role of energy distributors and the necessity of designing a novel tariff model for charging infrastructure, enabling pre-legislative testing of regulatory measures. Also, by aligning with the existing tariff sandbox overseen by the Brazilian National Electric Energy Agency, operational in the country, and drawing on Italy's successful experience, this research explores the sandbox's potential to establish adaptive regulatory signals conducive to technological evolution in electric mobility, aligned with Sustainable Development Goals (SDG 7 and 13).</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"213 ","pages":"Article 115496"},"PeriodicalIF":16.3,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438126","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 review of research progress in the compaction of major crop waste by mechanical equipment","authors":"Sibiao Li,&nbsp;Xiaohang Zhang,&nbsp;Pengbo Ma,&nbsp;Wenxi Li,&nbsp;Xuechao Zhang,&nbsp;Ruyi Wang,&nbsp;Yunting Hui,&nbsp;Yong You,&nbsp;Decheng Wang","doi":"10.1016/j.rser.2025.115484","DOIUrl":"10.1016/j.rser.2025.115484","url":null,"abstract":"<div><div>Under the premise of ensuring food supply, high crop yields are accompanied by high crop waste production. Crop waste is being used in many ways to increase the comprehensive utilization efficiency of land and biomass resources, such as raw materials for energy, feed, fertilizer, materials, and substrates. The use of mechanical equipment to compress and densify crop waste can improve the overall density of material groups, further enhance the efficiency of harvesting, storage, and transportation, and reduce costs. In this paper, the research progress of compressing and densification of major crop waste by mechanical equipment was reviewed, and a foundational framework for this field was established. First, we extracted the first four crops of the world's total output in 2022, as well as several other typical crops of densification application obtained from the literature, and analyzed their utilization paths, composition characteristics, and densification application scenarios. Then, the densification process was investigated at three different material levels: tissue and fiber, crop and stalk, straw bale and wrap. Following that, the process, influencing factors and model interpretation of uniaxial compression were systematically summarized. Finally, the challenges facing the research and application of mechanized crop waste densification were discussed, along with some recommendations for further research. In the future, it is essential to conduct research aimed at enhancing the level of engineering application and improving the energy efficiency of mechanical compaction, following this research framework and the proposed macro-level recommendations, thereby enriching the theoretical system of compaction and densification.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"213 ","pages":"Article 115484"},"PeriodicalIF":16.3,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444362","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":"Promoting sustainable development goals through energy-related behaviors of household occupants: Fostering sustainable energy solutions in developing countries","authors":"Mohammad M. Hamed ,&nbsp;Aseel Alkhreasha ,&nbsp;Ahmad AlShaer ,&nbsp;Abdul Ghani Olabi","doi":"10.1016/j.rser.2025.115511","DOIUrl":"10.1016/j.rser.2025.115511","url":null,"abstract":"<div><div>Household occupant's energy-related behavior plays a pivotal role in transitioning towards a net-zero future. Efficient energy practices at the household level are key to achieve sustainable development goals. By embracing sustainable energy behavior, households can contribute significantly to reducing carbon emissions and environmental impact. The interaction between responsible energy use and sustainable development drives positive change for future generations. This paper provides valuable insights into how occupants' energy-related behavior influences energy consumption in residential buildings. The analysis focuses on addressing various energy-saving measures such as adjusting clothing, utilizing natural ventilation, turning off lights, and managing air conditioning usage time. The study adopts Agent-based modeling to assess these measures comprehensively. Results show that heating load contributes significantly to total energy use at 53.34 %, while cooling load plays a smaller role at 7.82 %. Results also underscore the influence of home location and income on energy usage, highlighting differences across seasons and before/after implementing energy-saving measures. Each individual measure has resulted in modest energy reductions, such as adjusting clothing insulation, utilizing natural ventilation, turning off lights, and limiting air conditioning usage (with reductions of 5.01 %, 4.04 %, 7.27 %, and 4.54 %, respectively). However, the combined influence of above measures has led to substantial (19.39 %) overall decreases in energy consumption. This highlights the crucial influence of occupants' behavior and socioeconomic aspects in molding energy consumption habits within homes.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"213 ","pages":"Article 115511"},"PeriodicalIF":16.3,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438117","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":"Carbon dioxide storage in clastic rocks: Review and perspectives","authors":"Song Lu ,&nbsp;Chenlin Hu ,&nbsp;Xiangyan Wang ,&nbsp;Jonathan Atuquaye Quaye ,&nbsp;Li Deng","doi":"10.1016/j.rser.2025.115487","DOIUrl":"10.1016/j.rser.2025.115487","url":null,"abstract":"<div><div>Greenhouse gas emissions are causing global mean temperatures to rise, and the most promising carbon capture, utilization, and storage (CCUS) and carbon capture and storage (CCS) technologies under the current system involve CO₂ storage in clastic rocks. This review elucidates the mechanism of CO₂ geo-storage (CGS) in clastic rocks, summarizes the storage conditions and methods, analyzes the storage potential assessment in detail, highlights the problems and risks, and discusses the future development directions. Although numerous studies have explored CO₂ storage in depleted oil and gas reservoirs associated with clastic rocks and saline aquifers, systematic and comprehensive research remains scarce. This study offers the first comprehensive overview of all CO₂ geological storage technologies related to clastic rocks and introduces a new and more robust set of storage potential assessment formulas based on previous studies. By analyzing the international theoretical and research results on clastic CGS, this study could enhance the understanding of the field and significantly contribute to achieving global carbon reduction targets.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"213 ","pages":"Article 115487"},"PeriodicalIF":16.3,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438128","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":"Advancements in flexible perovskite solar cells enabling self-powered systems","authors":"Savisha Mahalingam ,&nbsp;Abreeza Manap ,&nbsp;Dita Floresyona ,&nbsp;Ramisha Rabeya ,&nbsp;Nurfanizan Afandi ,&nbsp;Zaimah Hasan ,&nbsp;Agung Nugroho","doi":"10.1016/j.rser.2025.115488","DOIUrl":"10.1016/j.rser.2025.115488","url":null,"abstract":"<div><div>Flexible perovskite solar cells (FPSCs) have emerged as promising renewable energy technologies for powering self-sustaining systems. By combining the high efficiency of perovskite materials with the flexibility of lightweight substrates, FPSCs offer a versatile solution for solar energy harvesting. This review delves into advancements in FPSC technology, highlighting key components, fabrication techniques, and performance improvements. Integrating FPSCs with flexible energy storage devices such as supercapacitors and batteries is crucial for realizing self-powered systems. This review discusses the challenges and opportunities associated with this integration, including power management, durability, and scalability. Although significant progress has been made, challenges such as long-term stability, hysteresis, and scalability remain. Addressing these challenges is essential for commercializing FPSCs and their widespread adoption in self-powering applications. Moreover, the environmental impacts of FPSCs, including material sourcing, manufacturing processes, and end-of-life considerations, must be carefully evaluated. By addressing these challenges and considering their environmental impact, FPSCs have the potential to revolutionize the field of renewable energy and contribute to a sustainable future. This review provides a comprehensive overview of the current state-of-the-art and future perspectives for FPSCs, with the aim of stimulating further research and development in this exciting field. Specifically, future research should focus on improving the long-term stability of FPSCs, developing low-cost and scalable fabrication techniques, and optimizing the integration of FPSCs with energy storage devices. By addressing these key issues, FPSCs can become a practical and sustainable solution for powering a wide range of devices and applications.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"213 ","pages":"Article 115488"},"PeriodicalIF":16.3,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143427693","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 review of power battery cooling technologies","authors":"Chuang Wang,&nbsp;Qixing Liu,&nbsp;Zhiqiang Wang,&nbsp;Xingxing Cheng","doi":"10.1016/j.rser.2025.115494","DOIUrl":"10.1016/j.rser.2025.115494","url":null,"abstract":"<div><div>Lithium-ion batteries are a promising solution for achieving carbon neutrality in transportation due to their high energy density and low self-discharge rates. However, an effective and efficient thermal management system is essential to address the temperature sensitivity of their performance, lifetime, and safety. As energy density and charge/discharge power increase, conventional cooling technologies face unprecedented challenges. Therefore, this paper aims to provide a comprehensive understanding of the technical features and potential avenues for existing technologies. Three heat production models are introduced, and the adverse temperature effects are discussed. Theoretical methods for enhancing the cooling effect are analyzed based on governing equations. The main cooling technologies are reviewed, including air cooling, liquid cooling, phase change material-based cooling, heat pipe-based cooling, and hybrid cooling. The features and potential scenarios for different technologies are presented. The importance of multi-objective optimization, which aims to balance cooling performance, system weight, power consumption, environmental impact, and equipment cost, is highlighted during the design phase. Research on the prediction of battery state and thermal events using machine learning is also discussed. Moreover, the urgency of thermal management control strategies at the whole vehicle level is noted. This state-of-the-art review is expected to serve as a reference for future research on battery cooling technologies.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"213 ","pages":"Article 115494"},"PeriodicalIF":16.3,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438127","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":"Quantifying environmental learning and scaling rates for prospective life cycle assessment of e-ammonia production","authors":"Daniel Fozer,&nbsp;Mikołaj Owsianiak,&nbsp;Michael Zwicky Hauschild","doi":"10.1016/j.rser.2025.115481","DOIUrl":"10.1016/j.rser.2025.115481","url":null,"abstract":"<div><div>The imperative of a widespread, climate-neutral industrial transition necessitates adopting sustainable-by-design e-ammonia production practices. However, as is the case with early-stage technologies, its full potential in decarbonization and substituting conventional infrastructure at higher manufacturing readiness levels remains unknown. While learning and scaling effects offer insights into future potentials through historical observations, a collection of learning-by-doing, learning-by-searching and scaling data is absent for emerging green transition-related technologies. This study addresses the knowledge gap by building on economic learning theory and combining it with process virtualization to develop an explorative and normative framework for (i) synthesizing environmental learning rates for first-of-a-kind (FOAK) technologies and (ii) using them in prospective life cycle assessment. We consecutively develop and scale 12 e-ammonia processes designing green hydrogen production, ammonia synthesis, and air separation units using ASPEN Plus® V11 software to construct environmental learning curves (R<span><math><mrow><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup><mo>&gt;</mo></mrow></math></span> 0.95). The quantified environmental learning effects, harmonized with shared socioeconomic pathways, show the technology’s comprehensive potential to evolve into an eco-efficient n<span><math><msup><mrow></mrow><mrow><mi>t</mi><mi>h</mi></mrow></msup></math></span>-of-a-kind production line following a 2.5 doubling of experience by 2050. The cumulative environmental progress is driven by a short technology doubling time and moderate to high 3.1-23.4% environmental learning and scaling rates. Prospective projections that involve learning and scaling effects in the foreground system markedly outperform scenarios that consider environmental progress solely in background life cycle inventories. Therefore, future-oriented sustainability assessments need to account for advancements in both foreground and background inventories simultaneously to support and guide eco-friendly technological developments effectively.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"213 ","pages":"Article 115481"},"PeriodicalIF":16.3,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Technical characteristics and developmental prospect of hydrogen storage in salt cavern: A perspective of layered salt rocks","authors":"Zhenxing Ji ,&nbsp;Jianfeng Liu ,&nbsp;Yougang Cai ,&nbsp;Jianxiong Yang ,&nbsp;Haiyang Yi ,&nbsp;Liangliang Jiang ,&nbsp;Jinbing Wei ,&nbsp;Aliakbar Hassanpouryouzband","doi":"10.1016/j.rser.2025.115451","DOIUrl":"10.1016/j.rser.2025.115451","url":null,"abstract":"<div><div>Renewable energy is pivotal in the process of industrial decarbonization, with hydrogen recognized as a highly available and clean energy source. However, achieving a full-scale hydrogen economy necessitates large-scale storage. As such, storage in salt formations, known for its superior peak shaving capabilities, is considered a potential solution. Given the variability of layered salt formations, this review offers a critical synthesis of the technical characteristics and challenges in the field of Salt cavern hydrogen storage, including hydrogen loss, site selection, and safety evaluation. The proposed site selection criteria demand higher requirements for the sealing integrity of the rock formations and recommend conducting hydrogen storage potential assessments. The safety evaluation system presented includes 15 indicators, emphasizing the impact of hydrogen permeation on the stability of salt pillars. Additionally, the review discussed the potential and challenges of developing integrated energy systems incorporating salt cavern hydrogen storage, proposing an operational framework for integrated energy systems that accounts for constraints,site selection, and system operation optimization. Lastly, conclusions and recommendations for future research are presented. This review offers insights for future work and is expected to contribute to the advancement of sustainable energy solutions.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"213 ","pages":"Article 115451"},"PeriodicalIF":16.3,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143427691","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 investigation of gallium-based composite PCM for battery thermal management applications","authors":"Shahid Ali Khan ,&nbsp;Xiangrong Li ,&nbsp;Song Ni ,&nbsp;Iftikhar Hussain ,&nbsp;Rukun Liu ,&nbsp;Amrit Kumar Thakur ,&nbsp;Jijian Xu ,&nbsp;Yinlin Shen ,&nbsp;Alicia Kyoungjin An ,&nbsp;Jiyun Zhao","doi":"10.1016/j.rser.2025.115466","DOIUrl":"10.1016/j.rser.2025.115466","url":null,"abstract":"<div><div>Efficient thermal management is essential for the safety and performance of battery systems, extending their lifespan and reducing the risk of thermal runaway. This study investigates the use of gallium-based composite phase-change materials (CPCMs) for managing the thermal load of lithium-ion batteries (LIBs) during rapid discharge cycles. We synthesized CPCMs by integrating paraffin (PA) and gallium (Ga) in varying ratios, ensuring a consistent inclusion of 5% expanded graphite (EG) for structural stability. Advanced analytical techniques characterized the thermal properties and phase-transition behaviors of CPCMs. The results show that incorporating Ga significantly improves the thermal conductivity and stability of the composites, while also altering their crystallization and melting dynamics. When applied to a cylindrical LIB, CPCMs with higher Ga content demonstrated lower melting points and superior thermal management capabilities. Specifically, a composition of 76 wt<span><math><mtext>%</mtext></math></span> PA and 19 wt<span><math><mtext>%</mtext></math></span> Ga (CPCM3 at a 4:1 ratio) reduced the battery’s surface temperature by 39% at a 4 C discharge rate, relative to a standard PA and EG-based composite PCM. These findings underscore the potential of Ga-based CPCMs to enhance both the thermal performance and safety of LIBs under high-rate cycling conditions.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"213 ","pages":"Article 115466"},"PeriodicalIF":16.3,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143427690","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":"Physics-informed explainable encoder-decoder deep learning for predictive estimation of building carbon emissions","authors":"Chao Chen ,&nbsp;Limao Zhang ,&nbsp;Cheng Zhou ,&nbsp;Yongqiang Luo","doi":"10.1016/j.rser.2025.115478","DOIUrl":"10.1016/j.rser.2025.115478","url":null,"abstract":"<div><div>Building decarbonization is beneficial to improve energy efficiency and mitigate climate change worldwide, and it is necessary to accurately investigate building carbon emissions and identify the potential factors. A crucial challenge is that pioneer studies rarely explore the correlations between controllable parameters and building carbon emissions and are unable to estimate carbon emissions comprehensively. In this context, this work proposes a physics-informed encoder-decoder framework for predictive carbon emissions estimation. The input variables are transformed into sequences to extract essential features and time information in the encoder, where the decoder receives the sequence and makes a prediction. Simultaneously, the control-oriented physical laws are explored and integrated to update the conventional loss function. The proposed model has been applied to a high-rise commercial building in China. Results reveal that: (1) The model sees a significant prediction improvement by 9.24 % after considering physical laws and shows outstanding robustness under five dataset conditions; (2) The R² for carbon emissions prediction is 0.963, while the accuracy for anomaly detection is 0.963; (3) Historical carbon emissions, supply water temperature and system operation status are the critical factors affecting carbon emissions. The proposed physics-informed deep learning model solves the performance dependencies on dataset size and can be directly used for control-oriented building modeling and decarbonization optimization.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"213 ","pages":"Article 115478"},"PeriodicalIF":16.3,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420123","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}