Renewable and Sustainable Energy Reviews最新文献_第10页

Impact of electric vehicle disordered charging on urban electricity consumption

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-02-05 DOI: 10.1016/j.rser.2025.115449

Yichen Luo, Xiao Xu, Yuyan Yang, Youbo Liu, Junyong Liu

Accurate analysis of the influence of large-scale disordered charging behaviors of electric vehicles (EVs) on urban electricity consumption holds considerable importance for the security and stable operation of the power system. However, for the traditional analysis method, the influence of social emergencies like extreme weather and epidemics is often overlooked. It may be inadequate in a carbon-neutral scenario, where the interrelation between EV user behaviors and social factors is complex. Moreover, most traditional methods only consider EV penetration rates, which also causes obstacles in analyzing the changes in electricity consumption from distinct vehicle-to-pile ratios and various urban functional areas. Thus, an analysis method for the disordered charging behaviors of EVs considering social emergencies is proposed in this work. First, a multi-group social information propagation model is established to simulate the disordered charging behaviors during emergencies; Based on the functional observability theory, an analysis model for the disordered charging behaviors is also developed. Afterwards, an electricity consumption equation is constructed to reveal the quantitative relationship between disordered charging users and changes in electricity consumption. Finally, the effect of disordered charging behaviors on electricity consumption across various urban functional areas is analyzed for varying EV penetration rates and three types of vehicle-to-pile ratios. The case study illustrates that a significant difference in the influence of disordered charging behaviors on urban electricity consumption under 4:1 to 1:1 vehicle-to-pile ratio scenarios occurs only when the EV penetration rate is higher than 40 %.

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引用次数: 0

Hybrid LCA for sustainable transitions: principles, applications, and prospects

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-02-04 DOI: 10.1016/j.rser.2025.115443

R.H. Hagenaars , R. Heijungs , A. Tukker , R. Wang

Hybrid life cycle assessment (LCA) offers an integrated approach, combining process-based and input-output data. As such, it strives for a more comprehensive and precise evaluation of alternative technologies and products, supporting sustainability transitions. A review of 114 studies from 2016 to 2022 reveals that hybrid LCA applications are most commonly focused on energy systems (24 %), with a strong emphasis on assessing climate change impacts. Hybrid LCA is crucial for addressing the data gaps prevalent in environmental evaluations of renewable energy technologies. Methodological innovations, such as combining hybrid LCA with multi-objective optimization, show promise in pinpointing ideal locations and designs for energy plants, such as biorefineries. However, a concerning observation is that many studies employed oversimplified or inadequately documented hybridization procedures, raising questions about their robustness. The review also identifies several remaining challenges in hybrid LCA, including the linearity assumptions, omission of capital goods, price data uncertainties, and inconsistencies in environmental flow data. A significant advancement lies in creating standardized datasets, especially for construction materials. Such datasets could enable large-scale evaluations of embodied impacts across projects, facilitating the selection of construction materials based on comprehensive material trade-offs and supporting net-zero carbon construction. Furthermore, to enhance hybrid LCA in future research, this study presents a streamlined classification of the various methods, clarifying their intended purpose and computational structure.

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引用次数: 0

Existing technologies and scientific advancements to decarbonize shipping by retrofitting

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-02-04 DOI: 10.1016/j.rser.2025.115430

Aleksander A. Kondratenko , Mingyang Zhang , Sasan Tavakoli , Elias Altarriba , Spyros Hirdaris

The maritime industry is transporting about 90 % of world commerce, contributing to the global greenhouse gas emissions that cause climate change. Increasing pressure on the sector to reduce its carbon footprint requires developing specialized energy-efficient technologies and studying their compatibility with modern safety and sustainability expectations of the waterborne sector. This research supports the United Nations sustainable development goals SDG 7 (Affordable and clean energy) and 13 (Climate Action), and reviews available technologies for shipping decarbonization through design for retrofitting. Promising research areas to improve the energy efficiency of ships could focus on design concepts and methodologies, fluid dynamics, and artificial intelligence. The study suggests that while individual promising decarbonization technologies are available, a comprehensive and coordinated approach is necessary to decarbonize global shipping efficiently. The study identified three promising paths of ship retrofitting to meet the International Maritime Organization decarbonizing objective 2050, aiming at a 70 % reduction of annual greenhouse gas emissions compared to 2008. The first path – using green energy sources (e.g., ammonia, battery, and methanol) – requires scaling up technologies and developing a regulatory framework and control of the lifecycle of the fuel production process. The second path – using ship-based carbon capture technologies, ship design (e.g., hull retrofitting, air lubrication, and wind-assisted propulsion), and operation solutions (e.g., weather routing and logistics planning) – requires building more CO₂ storage and control of the lifecycle of liquified CO₂. The third path – using biodiesel as a fuel in combination with ship design and operation solutions – requires extending feedstock for biodiesel production.

{"title":"Existing technologies and scientific advancements to decarbonize shipping by retrofitting","authors":"Aleksander A. Kondratenko , Mingyang Zhang , Sasan Tavakoli , Elias Altarriba , Spyros Hirdaris","doi":"10.1016/j.rser.2025.115430","DOIUrl":"10.1016/j.rser.2025.115430","url":null,"abstract":"<div><div>The maritime industry is transporting about 90 % of world commerce, contributing to the global greenhouse gas emissions that cause climate change. Increasing pressure on the sector to reduce its carbon footprint requires developing specialized energy-efficient technologies and studying their compatibility with modern safety and sustainability expectations of the waterborne sector. This research supports the United Nations sustainable development goals SDG 7 (Affordable and clean energy) and 13 (Climate Action), and reviews available technologies for shipping decarbonization through design for retrofitting. Promising research areas to improve the energy efficiency of ships could focus on design concepts and methodologies, fluid dynamics, and artificial intelligence. The study suggests that while individual promising decarbonization technologies are available, a comprehensive and coordinated approach is necessary to decarbonize global shipping efficiently. The study identified three promising paths of ship retrofitting to meet the International Maritime Organization decarbonizing objective 2050, aiming at a 70 % reduction of annual greenhouse gas emissions compared to 2008. The first path – using green energy sources (e.g., ammonia, battery, and methanol) – requires scaling up technologies and developing a regulatory framework and control of the lifecycle of the fuel production process. The second path – using ship-based carbon capture technologies, ship design (e.g., hull retrofitting, air lubrication, and wind-assisted propulsion), and operation solutions (e.g., weather routing and logistics planning) – requires building more CO<sub>2</sub> storage and control of the lifecycle of liquified CO<sub>2</sub>. The third path – using biodiesel as a fuel in combination with ship design and operation solutions – requires extending feedstock for biodiesel production.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"212 ","pages":"Article 115430"},"PeriodicalIF":16.3,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143332603","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}

引用次数: 0

Comprehensive energy, economic, and environmental (3E) analyses for rooftop photovoltaic integration in urban regions employing utilization factor

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-02-04 DOI: 10.1016/j.rser.2025.115433

Ahsan Ahmed, Mubashir Ali Siddiqui, Syed Muhammad Ammar

With increasing prices of grid electricity, the necessity for sustainable and cheaper PV electricity generation also increases. The aim of this research is to examine the overall energy, economic and environmental benefits of urban scale rooftop PV applications. The investigation focuses on PV utilizability with a total study area of 246 km². The PV energy potential is computed as 5,335.6 GWh/year for villas and 2,316.2 GWh/year for apartments with average utilization factors (UFs) of 30 % and 21 %, respectively. By comparing the UFs with studies of different countries, it is concluded that the findings of this study can be applied to buildings in other regions with comparable conditions and structural characteristics. It is extracted that PV application on villas and apartments can offset 87 % and 15 % of total grid load, respectively. It is found that the cooling load can be reduced to 4.5 % with average UF. Economic viability is also assessed at an interest rate of 22 % using factors like life cycle cost (LCC), levelized cost of electricity (LCOE), payback period (PP) and benefits to cost ratio (B/C). The LCC, LCOE, PP and B/C for city scale PV application are determined as USD 4.24 billion, USD 0.0221/kWh, 8.1 years and 1.2, respectively. It is also found that city-scale PV application can save 90.48 million tons of CO₂, 2,678.2 tons of CH₄, 382.6 tons of N₂0, 1.38 million tons of SO₂ and 0.84 tons of NO during the useful life of project.

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引用次数: 0

Floating photovoltaic system based electrical power generation study in Indian context

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-02-04 DOI: 10.1016/j.rser.2025.115442

Nitin Kumar , Rupendra Kumar Pachauri , Piyush Kuchhal , Lewis Nkenyereye

The world is transitioning towards a net zero emissions future and solar energy is leading the change. The land use requirements to install solar photovoltaic farms present a barrier for the industry as population density increases and land prices rise. The floating photovoltaic system is an emerging power generation system that is sparking prevalent interest due to its several benefits, including fewer obstacles to block sunlight, convenience, energy efficiency, and higher power generation efficiency due to the lower temperature underneath the panels. Floating solar is installing on the rise around the world, and many countries are starting to see it as a feasible preference. It has many benefits over ground-mounted photovoltaic which are discussed in this review. In this review, we look at the most current research on floating solar and discuss its advantages, disadvantages, and potential for the future. A comprehensive assessment of the floating solar system is carried out to analyze the performance enhancement through the installation methods of floating solar systems, along with the challenges. The study explores global floating solar development scenarios, highlighting research interest in sustainable solar energy solutions. It supports United Nation sustainability development goal 7 and 13, accelerating the transition to a low-carbon future. This study indicates that optimal tilt angle for floating solar panels is crucial for maximum power output. However, research on bifacial solar photovoltaic panels is underexplored. The taxonomy provides quantitative performance data such optimal tilt angle, performance parameters, study duration, data acquisition system specs, and major findings from current studies.

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引用次数: 0

Design and analysis of wind-based hydrogen production using rule-based operation

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-02-04 DOI: 10.1016/j.rser.2025.115459

Sunwoo Kim , Joungho Park , Jay H. Lee

The growing demand for green hydrogen underscores the importance of renewable energy sources such as wind. However, the water electrolysis process, crucial for producing green hydrogen, often experiences frequent shutdowns that can damage membranes and catalysts, diminishing both efficiency and longevity. The variability of wind power further complicates this, necessitating advanced control strategies to maintain system stability. Traditional rule-based control methods often struggle to effectively handle real-time power fluctuations and predict future wind conditions, limiting their adaptability. This study introduces an innovative rule-based control method that includes a 'target battery level' to balance reliability and productivity. Utilizing a bi-level optimization framework, it co-optimizes the system design and target battery level to create a more adaptable and efficient solution. Case studies in six regions reveal that the levelized cost of hydrogen is realistically 6–20% higher than scenarios assuming perfect wind foresight. Moreover, this new rule-based control strategy, aiming to maintain a target battery level above 90%, consistently outperforms traditional methods in terms of reliability and economic viability. This approach offers a robust and economically feasible solution for enhancing sustainable green hydrogen production under real-world conditions, addressing key challenges related to system stability and operational efficiency.

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引用次数: 0

Artificial solid electrolyte interphase: The Holy Grail for Li-S batteries

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-02-04 DOI: 10.1016/j.rser.2025.115453

Mohsen Hajian Foroushani, Samane Maroufi, Rasoul Khayyam Nekouei, Veena Sahajwalla

Lithium metal exhibits exceptional characteristics, owing to its highest specific capacity (3860 mAh g⁻¹) and the lowest electrochemical potential (−3.04 V vs. SHE) among all available metal anodes. The synergy effect of Li and sulfur, with specific capacity of 1670 mAh g⁻¹, positions Li–S batteries (LSBs) as a highly promising candidate for the next generation of high-energy density batteries. Nonetheless, the full commercialization of LSBs is dependent upon overcoming a range of shortcomings that such batteries possess. One of the most formidable challenges is the pervasive issue of Li dendrite nucleation and growth on the anode surface, caused by the instability of the solid electrolyte interphase layer. Numerous efforts have been made so far to control the nucleation and growth of Li dendrites, with the establishment of a stable artificial solid electrolyte interphase (ASEI) layer proving to be one of the most effective approaches. This review provides a focused, comprehensive analysis of ASEI layers, addressing a critical gap in existing literature, which often broadly covers Li anode challenges without specifically targeting ASEI-related strategies. It explores recent advancements in ASEI fabrication methods, including dip coating, drop casting, roll pressing, magnetron sputtering, and other innovative techniques, with a thorough discussion of each method's strengths, limitations, and key influencing factors. Furthermore, the review examines the scalability, performance, and effectiveness of ASEI layers under real-world conditions, such as high sulfur loading, limited electrolyte volumes, and carbonate-based electrolytes, while assessing their impact on electrochemical performance across varied battery configurations.

{"title":"Artificial solid electrolyte interphase: The Holy Grail for Li-S batteries","authors":"Mohsen Hajian Foroushani, Samane Maroufi, Rasoul Khayyam Nekouei, Veena Sahajwalla","doi":"10.1016/j.rser.2025.115453","DOIUrl":"10.1016/j.rser.2025.115453","url":null,"abstract":"<div><div>Lithium metal exhibits exceptional characteristics, owing to its highest specific capacity (3860 mAh g<sup>−1</sup>) and the lowest electrochemical potential (−3.04 V vs. SHE) among all available metal anodes. The synergy effect of Li and sulfur, with specific capacity of 1670 mAh g<sup>−1</sup>, positions Li–S batteries (LSBs) as a highly promising candidate for the next generation of high-energy density batteries. Nonetheless, the full commercialization of LSBs is dependent upon overcoming a range of shortcomings that such batteries possess. One of the most formidable challenges is the pervasive issue of Li dendrite nucleation and growth on the anode surface, caused by the instability of the solid electrolyte interphase layer. Numerous efforts have been made so far to control the nucleation and growth of Li dendrites, with the establishment of a stable artificial solid electrolyte interphase (ASEI) layer proving to be one of the most effective approaches. This review provides a focused, comprehensive analysis of ASEI layers, addressing a critical gap in existing literature, which often broadly covers Li anode challenges without specifically targeting ASEI-related strategies. It explores recent advancements in ASEI fabrication methods, including dip coating, drop casting, roll pressing, magnetron sputtering, and other innovative techniques, with a thorough discussion of each method's strengths, limitations, and key influencing factors. Furthermore, the review examines the scalability, performance, and effectiveness of ASEI layers under real-world conditions, such as high sulfur loading, limited electrolyte volumes, and carbonate-based electrolytes, while assessing their impact on electrochemical performance across varied battery configurations.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"212 ","pages":"Article 115453"},"PeriodicalIF":16.3,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143332631","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}

引用次数: 0

Privacy preserving federated learning for proton exchange membrane fuel cell

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-02-04 DOI: 10.1016/j.rser.2025.115407

Zehui Zhang , Ningxin He , Weiwei Huo , Xiaobin Xu , Chao Sun , Jianwei Li

Proton Exchange Membrane Fuel Cell (PEMFC) is a promising clean energy device with applications from mobile power stations to electric vehicles. To accelerate the application process, deep learning (DL) has been applied to develop various intelligent technologies for PEMFC such as performance prediction, fault diagnosis, etc., to reduce manufacturing cost and prolong service lifetime. However, a single research institution is difficult to obtain sufficient training data for developing DL-based models, since fuel cell system is still in the development stage, and its high cost makes the collection of experimental data too expensive. To tackle the challenges, this study designs a privacy-preserving federated learning framework for PEMFC (FedFC). The framework can support multiple research institutions to collaboratively train a high-performance DL model for PEMFC while preserving their local data information using homomorphic encryption and differential privacy technologies. The study empirically evaluates FedFC framework performance on real fuel cell datasets with performance predication and fault diagnosis tasks. Experiment results demonstrate that the FedFC framework can achieve excellent performance and holds promise for promoting the development of intelligent models associated with PEMFC.

{"title":"Privacy preserving federated learning for proton exchange membrane fuel cell","authors":"Zehui Zhang , Ningxin He , Weiwei Huo , Xiaobin Xu , Chao Sun , Jianwei Li","doi":"10.1016/j.rser.2025.115407","DOIUrl":"10.1016/j.rser.2025.115407","url":null,"abstract":"<div><div>Proton Exchange Membrane Fuel Cell (PEMFC) is a promising clean energy device with applications from mobile power stations to electric vehicles. To accelerate the application process, deep learning (DL) has been applied to develop various intelligent technologies for PEMFC such as performance prediction, fault diagnosis, etc., to reduce manufacturing cost and prolong service lifetime. However, a single research institution is difficult to obtain sufficient training data for developing DL-based models, since fuel cell system is still in the development stage, and its high cost makes the collection of experimental data too expensive. To tackle the challenges, this study designs a privacy-preserving federated learning framework for PEMFC (FedFC). The framework can support multiple research institutions to collaboratively train a high-performance DL model for PEMFC while preserving their local data information using homomorphic encryption and differential privacy technologies. The study empirically evaluates FedFC framework performance on real fuel cell datasets with performance predication and fault diagnosis tasks. Experiment results demonstrate that the FedFC framework can achieve excellent performance and holds promise for promoting the development of intelligent models associated with PEMFC.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"212 ","pages":"Article 115407"},"PeriodicalIF":16.3,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143332624","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

Addressing reliability challenges in generation capacity planning under high penetration of renewable energy resources and storage solutions: A review

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-02-04 DOI: 10.1016/j.rser.2025.115461

Taraneh Ghanbarzadeh, Daryoush Habibi, Asma Aziz

This study offers a comprehensive survey of generation capacity planning from a reliability perspective, considering the influence of renewable resources and energy storage systems. The uncertainties surrounding intermittent resources raise concerns about power system reliability. This has led to the proposal of new assessment and optimization frameworks in generation expansion planning, as evidenced by numerous reports and original research works. In addition to the challenge concerning power system reliability, phenomena such as Dunkelflaute require thorough consideration when planning problems. Furthermore, energy storage systems have emerged as a promising solution to address these challenges. Consequently, numerous researchers have worked on methods for handling uncertainty in generation outputs, selecting appropriate reliability indices, and evaluating reliability techniques. This review paper offers a survey of research works exploring the relevant aspects of generation capacity planning under the high penetration of renewable energy resources. This survey also highlights new research opportunities for scholars seeking to assess the associated reliability challenges of integrating renewables into modern power systems.

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引用次数: 0

End-of-life wind turbine blades and paths to a circular economy

IF 16.3 1区工程技术 Q1 ENERGY & FUELS

Renewable and Sustainable Energy Reviews

Pub Date : 2025-02-03 DOI: 10.1016/j.rser.2025.115418

Peter Deeney , Paul G. Leahy , Kevin Campbell , Claire Ducourtieux , Gerard Mullally , Niall P. Dunphy

A structured literature review is used to identify barriers to the recommended methods of processing end-of-life wind turbine blades. The Waste Management Hierarchy recommends firstly avoidance, then repurposing, recycling, energy recovery and lastly, disposal. The review finds that most recent research articles are concerned with recycling, despite its position in third place in the Hierarchy. The review also identifies the following barriers to the first, second and third most recommended processes: misalignment of financial rewards for blade manufacturers making more durable blades; lack of information about blades which could help repurposing and recycling; and lack of financial incentives for any of the top three methods. Based on these findings the following solutions are proposed: alternative payment structures for blade ownership incentivising blade quality and longevity; an information exchange to facilitate the second hand market, repurposing and recycling; and the widespread use of compliance bonds to provide a financial incentive for repurposing and recycling.

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引用次数: 0