Renewable and Sustainable Energy Reviews最新文献_第9页

A review of methods to analyze technological change in industry

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2025-01-23 DOI: 10.1016/j.rser.2024.115310

D.A. Toribio-Ramirez , B.C.C. van der Zwaan , R.J. Detz , A. Faaij

{"title":"A review of methods to analyze technological change in industry","authors":"D.A. Toribio-Ramirez , B.C.C. van der Zwaan , R.J. Detz , A. Faaij","doi":"10.1016/j.rser.2024.115310","DOIUrl":"10.1016/j.rser.2024.115310","url":null,"abstract":"<div><div>There is an urgency to accelerate the innovation, development, and deployment of low-carbon industrial processes. Reviewing existing insights into how to achieve rapid technological change may be useful to assist this acceleration. Literature offers a set of approaches to model learning-by-doing and cost reductions, such as the learning curve methodology. However, it is debated if it can accurately describe and project cost reductions for low-carbon industrial processes. The goal of this work is threefold. First, to give more insight into what factors may explain the speed of innovation and technological change of low-carbon energy technologies. Second, to review existing approaches to model innovation and technological change of energy technologies and industrial processes. Third, to devise a framework to study technological learning of industrial processes. This work presents three main outcomes. First, we report more than 30 barriers and drivers of technological change. Second, we present a list of learning curve models and complementary methodologies to represent and/or explain these barriers and drivers. Third, we propose a framework to model technological learning of low-carbon industrial processes.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"212 ","pages":"Article 115310"},"PeriodicalIF":16.3,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143358425","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

Mooring design for floating wind turbines: A review

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2025-01-22 DOI: 10.1016/j.rser.2024.115231

Zhiyu Jiang

引用次数: 0

A general energy-aware framework with multi-modal information and multi-task coordination for smart management towards net-zero emissions in energy system

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2025-01-22 DOI: 10.1016/j.rser.2025.115387

Siliang Chen, Xinbin Liang, Zheming Zhang, Fei Zheng, Xinqiao Jin, Zhimin Du

{"title":"A general energy-aware framework with multi-modal information and multi-task coordination for smart management towards net-zero emissions in energy system","authors":"Siliang Chen, Xinbin Liang, Zheming Zhang, Fei Zheng, Xinqiao Jin, Zhimin Du","doi":"10.1016/j.rser.2025.115387","DOIUrl":"10.1016/j.rser.2025.115387","url":null,"abstract":"<div><div>Deep learning plays a crucial role in advancing the smart management of energy systems, contributing significantly to improving energy efficiency and operational security. However, the limited adaptability to multi-modal energy information and low coordination in multiple energy tasks lead to difficulties in making accurate decisions for energy management. To this end, we proposed a novel general energy-aware framework with multi-modal information and multi-task coordination for smart management in energy systems. An adaptive transformation method was presented for converting multi-modal data to a general format by reassigning feature positions based on similarities. The proposed energy-aware framework fed with the generalized multi-modal data, going through feature extraction via a progressive vision backbone, and then produced outputs for multiple energy tasks. The adaptive loss weighting method was proposed to coordinate convergence rates and magnitudes of losses among multiple energy-related tasks. A series of experiments were conducted in practical energy systems to validate technical feasibility of proposed energy-aware framework. The performance metrics for multiple energy tasks including predictive maintenance, energy prediction and control optimization were 0.994, 0.942 and 0.945, and their performances remain relatively stable at 0.990, 0.920 and 0.952 for multi-task learning. The model performances can be increased by 7.19 % through adopting adaptive transformation. Moreover, extensive comparative experiments demonstrated the proposed energy-aware model outperformed common machine learning and deep learning algorithms. Our study is expected to develop more general and flexible deep learning model for smart management to save energy and ensure security, thereby supporting the realization of net-zero emissions in energy systems.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"212 ","pages":"Article 115387"},"PeriodicalIF":16.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143332088","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

Paving the way towards a sustainable future or lagging behind? An ex-post analysis of the International Energy Agency's World Energy Outlook

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2025-01-22 DOI: 10.1016/j.rser.2025.115371

Gabriel Lopez, Yousef Pourjamal, Christian Breyer

{"title":"Paving the way towards a sustainable future or lagging behind? An ex-post analysis of the International Energy Agency's World Energy Outlook","authors":"Gabriel Lopez, Yousef Pourjamal, Christian Breyer","doi":"10.1016/j.rser.2025.115371","DOIUrl":"10.1016/j.rser.2025.115371","url":null,"abstract":"<div><div>Since 1993, the International Energy Agency (IEA) has published its flagship publication, the World Energy Outlook (WEO), which has become the authoritative report on energy statistics for the reference year and guiding energy demand developments for the decades to come. This research seeks to understand the evolution of energy demand in the WEO and how the WEO projections have performed compared to historical developments. Furthermore, this study analyses the range of future projections for the central WEO scenarios from 1993 to 2022, the outlook scenarios, compared to the scenarios aimed at higher levels of sustainability, the normative scenarios. The results suggest that while the IEA has accurately anticipated primary and final energy demand growth, it has historically overestimated the growth in fossil fuels and nuclear electricity generation and severely underestimated the growth in key renewable technologies including solar photovoltaics and wind power, the latter occurring across scenarios. Furthermore, projections beyond 2020 largely fail to anticipate the terawatt-scale PV developments that are expected by market and solar photovoltaics experts. Despite sufficient technological complexity, an artificial cap on renewables and power-to-X technology growth can be observed in favour of nuclear power, bioenergy, and fossil fuels coupled with carbon capture and sequestration. Such perspectives, especially in the normative scenarios, may impede the growth of technologies that are essential to fully defossilise energy-industry systems. Thus, increased transparency of assumptions and exploration into scenarios demonstrating the feasibility of higher variable renewable growth, and thus power-to-X applications can help spur public confidence and investments from policymakers and investors.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"212 ","pages":"Article 115371"},"PeriodicalIF":16.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143332571","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

Dissection of hydrogen-rich blast furnace: The continuous reduction and phase migration mechanism of sinter in lumpy zone

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2025-01-22 DOI: 10.1016/j.rser.2025.115393

Pan Yang, Shuixin Ye, Fengmei Wang, Xiaodie Hu, Yuwen Zhang, Wenhe Wu, Kai Zhu, Xionggang Lu

{"title":"Dissection of hydrogen-rich blast furnace: The continuous reduction and phase migration mechanism of sinter in lumpy zone","authors":"Pan Yang, Shuixin Ye, Fengmei Wang, Xiaodie Hu, Yuwen Zhang, Wenhe Wu, Kai Zhu, Xionggang Lu","doi":"10.1016/j.rser.2025.115393","DOIUrl":"10.1016/j.rser.2025.115393","url":null,"abstract":"<div><div>To mitigate carbon dioxide emissions, hydrogen has been widely utilized in blast furnace (BF). In this study, the continuous reduction and phase migration of sinter in the lumpy zone were investigated by dissecting a 40 m<sup>3</sup> hydrogen-rich blast furnace (HBF). The findings demonstrate that injecting hydrogen into the BF significantly broadens the lumpy zone and accelerates sinter reduction. The reduction process was divided into three stages, with reduction rate of 26.37 %, 84.75 %, and 87.07 % in each stage, respectively. Correspondingly, metallization rates reached 5.88 %, 82.28 %, and 84.85 %. Compared to a traditional blast furnace (TBF), the reduction and metallization rates were enhanced by 47.07 % and 69.85 %, respectively. Microstructural analysis revealed the growth of metallic iron and the aggregation of non-ferrous elements, including Al, Ca, and Mg. These results highlight the potential of hydrogen to enhance indirect reduction reactions, providing critical insights for optimizing batching regimes and advancing the transition to more sustainable ironmaking processes.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"212 ","pages":"Article 115393"},"PeriodicalIF":16.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143332089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel prescriptive approach for buildings’ insulation design considering embodied carbon

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2025-01-22 DOI: 10.1016/j.rser.2025.115369

Rocco di Filippo, Gianluca Maracchini, Rossano Albatici, Rosa Di Maggio, Oreste S. Bursi

{"title":"A novel prescriptive approach for buildings’ insulation design considering embodied carbon","authors":"Rocco di Filippo, Gianluca Maracchini, Rossano Albatici, Rosa Di Maggio, Oreste S. Bursi","doi":"10.1016/j.rser.2025.115369","DOIUrl":"10.1016/j.rser.2025.115369","url":null,"abstract":"<div><div>The reduction of energy consumption and environmental impact of buildings is critically important. Thermal insulation is highly effective in reducing energy needs. Therefore, national policies have regulated and encouraged insulation retrofits. Their environmental convenience depends on the carbon footprint of the materials used and the carbon density of the energy consumed. However, this is not usually reflected in prescriptions, and no studies have tried to formulate practical solutions for this integration. This work proposes a prescriptive approach based on Type-III declarations of materials and the carbon footprint of thermal energy to improve the environmental convenience and feasibility of retrofits. The life cycle environmental balance of thermal insulation retrofits is first investigated with a simplified analytical model. Then, the analytical model is applied to a parametric case study. The effect of natural hazards on maintenance-related emissions is also considered, an aspect quite unexplored in the literature. The results demonstrated that the impact of the embodied carbon is significant, especially considering future realistic low-carbon energy scenarios and the impact of a natural hazard on the needed maintenance. The proposed approach, conceived to be applicable in current practices, allows for a reduction of the minimum thermal resistance of the opaque envelope by up to 33% in the case of low embodied carbon materials and low carbon density heating technologies. The novel approach can still deliver energy savings of more than 60% and reduce the life cycle emissions and materials required, opening new perspectives for more sustainable and holistic regulations in the building sector.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"212 ","pages":"Article 115369"},"PeriodicalIF":16.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143333462","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

Overview of energy modeling requirements and tools for future smart energy systems

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2025-01-22 DOI: 10.1016/j.rser.2025.115367

Hassan Majidi , Mohammad Mohsen Hayati , Christian Breyer , Behnam Mohammadi-ivatloo , Samuli Honkapuro , Hannu Karjunen , Petteri Laaksonen , Ville Sihvonen

{"title":"Overview of energy modeling requirements and tools for future smart energy systems","authors":"Hassan Majidi , Mohammad Mohsen Hayati , Christian Breyer , Behnam Mohammadi-ivatloo , Samuli Honkapuro , Hannu Karjunen , Petteri Laaksonen , Ville Sihvonen","doi":"10.1016/j.rser.2025.115367","DOIUrl":"10.1016/j.rser.2025.115367","url":null,"abstract":"<div><div>The advancement of technology has led to the development of smart energy systems, integrating traditional and innovative energy solutions with technologies such as IoT and AI. These systems enhance sustainability by diversifying energy sources and enabling sector coupling. To ensure their optimal functionality, precise and comprehensive energy modeling tools are crucial. This paper provides a thorough review of energy modeling tools, focusing on their suitability for future smart energy systems. From the reviewed tools, efficient options are selected based on the requirements of smart energy systems. These systems aim to improve efficiency, resilience, and sustainability while reducing overall energy costs, necessitating innovative modeling solutions. Energy modeling tools play a crucial role in modeling complex energy frameworks, providing insights for informed decision-making. They optimize energy consumption, predict renewable energy variability, facilitate load balancing, and refine resource allocation strategies. However, the evolution of smart energy systems introduces new modeling challenges, requiring the adaptation and updating of the modeling tools. This study identifies the modeling requirements of future smart energy systems and matches them with the capabilities of present tools through a comprehensive comparative analysis.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"212 ","pages":"Article 115367"},"PeriodicalIF":16.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143358422","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

Scenarios of sustainable energy transition towards the decarbonisation of the road transport sector: A case study for Mexico

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2025-01-21 DOI: 10.1016/j.rser.2025.115341

S.I. Vallarta-Serrano , E. Santoyo-Castelazo , E. Santoyo , R.A. Ramirez-Mendoza , R. Bustamante-Bello , L. Beltrán-Rodríguez

{"title":"Scenarios of sustainable energy transition towards the decarbonisation of the road transport sector: A case study for Mexico","authors":"S.I. Vallarta-Serrano , E. Santoyo-Castelazo , E. Santoyo , R.A. Ramirez-Mendoza , R. Bustamante-Bello , L. Beltrán-Rodríguez","doi":"10.1016/j.rser.2025.115341","DOIUrl":"10.1016/j.rser.2025.115341","url":null,"abstract":"<div><div>Worldwide, the reduction of carbon dioxide emissions from fossil fuels in the road transport sector is a climate change mitigation priority. This study provides an integrated assessment methodology applied to a case study of Mexico to propose sustainable energy transition alternatives for the long-term decarbonisation of the national sector. Energy modelling and scenario development methods to obtain holistic alternatives for the transition of this sector were conducted. Six scenarios were proposed to describe the energy consumption and the main CO<sub>2</sub> trajectories considering environmental, socio-economic, technological, and governance aspects. The scenarios follow different pathways, from a Business-as-usual to a Net Zero, which were statistically analysed and validated. From 2018 to 2050, when a population of 144 million inhabitants is expected in the country, the first scenario leads to a 73.7 % increase in fossil energy consumption and 71.6 % in carbon emissions, whereas the Net Zero scenario suggests a possible reduction of 42.3 % and 89.9 %, respectively. In this scenario, the largest reductions in carbon emissions may be attained by fuel diversification, with electricity contributing 73.9 %, biofuels 9.2 %, hydrogen 8.2 %, less than 1 % of synthetic fuels and fossil fuels 8.7 %. Achieving decarbonisation targets would depend on: (i) a reduction in fossil fuels and energy demand; (ii) a gradual introduction of clean energy sources for low-carbon power generation; (iii) a societal behavioural change; (iv) a large investment in infrastructure, and (v) the updating of public policies to support a sustainable energy transition.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"212 ","pages":"Article 115341"},"PeriodicalIF":16.3,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143332097","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

Role and trends of flexibility options in 100% renewable energy system analyses towards the Power-to-X Economy

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2025-01-21 DOI: 10.1016/j.rser.2025.115383

Siavash Khalili, Gabriel Lopez, Christian Breyer

{"title":"Role and trends of flexibility options in 100% renewable energy system analyses towards the Power-to-X Economy","authors":"Siavash Khalili, Gabriel Lopez, Christian Breyer","doi":"10.1016/j.rser.2025.115383","DOIUrl":"10.1016/j.rser.2025.115383","url":null,"abstract":"<div><div>Flexibility options are essential components in highly renewable energy systems due to the inherent variability of renewable energy sources, such as solar photovoltaics and wind power. The adoption of renewable energy aligns with the United Nations Sustainable Development Goal 7, ensuring access to affordable, reliable, sustainable, and modern energy for all. This study investigates the impact of flexibility alternatives within the framework of 100% renewable energy systems through a systematic literature review to identify energy system analyses of at least 95% renewable energy supply for at least one sector in at least one scenario. 1067 articles from 1975 to 2023 were analysed to understand the functionality of flexibility options in highly renewable energy systems. The identified flexibility options include power-to-X, energy storage, demand response, power grids, and curtailment. The results indicate that within the field of 100% renewable energy systems, electricity-based solutions have emerged as the default. Various electricity-based fuels are used, with e-hydrogen and e-methane being the most widely discussed in 46% and 19% of articles, followed by Fischer-Tropsch and e-methanol with 3% of studies, respectively. Battery storage is covered by 60% of articles, followed by e-fuels options, and pumped hydro energy storage. Demand response was identified as the least included method. 46% of the articles highlight the role of transmission grids and 25% include curtailment. Early 100% renewable energy system analyses focused on flexibility in the power sector, whereas the shift of studies to a Power-to-X Economy has broadened research to flexibility options across the entire energy-industry system.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"212 ","pages":"Article 115383"},"PeriodicalIF":16.3,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143332576","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

Updated employment factors and occupational shares for the energy transition

IF 16.3 1区工程技术

Renewable and Sustainable Energy Reviews Pub Date : 2025-01-21 DOI: 10.1016/j.rser.2025.115339

J. Rutovitz, R. Langdon, C. Briggs, F. Mey, E. Dominish, K. Nagrath

{"title":"Updated employment factors and occupational shares for the energy transition","authors":"J. Rutovitz, R. Langdon, C. Briggs, F. Mey, E. Dominish, K. Nagrath","doi":"10.1016/j.rser.2025.115339","DOIUrl":"10.1016/j.rser.2025.115339","url":null,"abstract":"<div><div>This study contributes to global energy workforce planning by presenting updated employment factors and occupational shares for the electricity workforce, covering generation, storage, and transmission construction. Global labour shortages are already recognised as a risk to energy sector transformation. To enable effective workforce development, it is important to know the scale, location, timing, and occupational composition of the required labour. However, data gaps may mean projections do not reflect current employment intensities and only provide gross numbers. A suite of indicators based on large-scale surveys in Australia and information from literature have been updated using cost declines as a proxy for labour productivity gains. This research presents employment factors for the number jobs created at each project stage, compares them to international estimates, and presents detailed occupational shares for five technologies. These indicators were used to make projections for the Australian 2024 Integrated System Plan for electricity, and sample results are discussed. These show that projected employment for large scale renewable generation under least cost scenarios for the energy transition are highly volatile. There is also significant overlap between occupations needed for different technologies and transmission. As countries try to rapidly expand renewable capacity and transmission infrastructure, integration of workforce projections into electricity scenarios using employment indicators allows for better planning. Workforce projections can inform policymakers of the need to reduce volatility, as well as helping training institutions, industry and governments to plan for the scale of workforce growth needed.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"212 ","pages":"Article 115339"},"PeriodicalIF":16.3,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143332090","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