Energy for Sustainable Development最新文献

{"title":"Technical and economic analysis for the implementation of photovoltaic systems in agricultural zones of Mexico City: A case study","authors":"Miguel Guevara,&nbsp;Fabio Manzini,&nbsp;Aarón Sánchez-Juárez","doi":"10.1016/j.esd.2025.101743","DOIUrl":"10.1016/j.esd.2025.101743","url":null,"abstract":"<div><div>Global population growth and industrial expansion intensify demands for water, energy, food, and arable land. At the same time, climate change and land degradation threaten agricultural productivity. By 2050, food production must increase by 60 %, yet projections show that yields may decline by 10 %, which will worsen resource scarcity. This study evaluates Agrivoltaic Systems (APVS) as a sustainable solution for agricultural challenges in Xochimilco, Mexico City. Rural farmers there face energy poverty, aquifer contamination, and reliance on fossil fuels for irrigation. We analyze three scenarios: 1) Business As Usual (BAU), which uses fossil fuel-dependent pumps; 2) APVS-powered electric pumping; and 3) APVS with integrated water treatment. We assess the economic and environmental impacts over the systems' lifespans. Results show that replacing fossil fuel pumps with APVS reduces operational costs by 60–70 %, yielding a net present value (NPV) of $8900 per system and mitigating 12.6 tCO₂_e annually. While APVS-powered pumping offers clear economic and environmental advantages, integrating water treatment requires initial subsidies to offset high capital costs ($114 million USD for 3500 systems). However, treated water enhances crop quality and market value, aligning with sustainable practices by eliminating agrochemical use. The study demonstrates APVS's scalability, with potential deployment across 3500 chinampas (traditional farms), saving 11 million USD in fuel costs and reducing 44,100 tCO₂_e annually. This framework supports energy access, climate resilience, and food security by coupling renewable energy with water treatment. The integrated assessment framework developed in this study, combining techno-economic analysis with sustainability metrics and sensitivity testing, provides a replicable model for evaluating renewable energy solutions in contaminated agricultural contexts worldwide, emphasizing policy support to enhance viability. This work underscores APVS as a pathway to decouple agricultural productivity from fossil fuels, fostering economic, health, and environmental co-benefits.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"87 ","pages":"Article 101743"},"PeriodicalIF":4.4,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting energy consumption of electric two-wheelers under real-driving conditions in urban area: An application of Artificial Neural Network","authors":"Khanh Nguyen Duc ,&nbsp;Tien Nguyen Duy ,&nbsp;Truc Nguyen The ,&nbsp;Yen-Lien T. Nguyen ,&nbsp;Anh Tuan Le","doi":"10.1016/j.esd.2025.101745","DOIUrl":"10.1016/j.esd.2025.101745","url":null,"abstract":"<div><div>The study employs neural networks to simulate the energy consumption of electric two-wheelers (E2W) under real-world driving conditions to support deploying the E2W eco-system in Vietnam. The test E2W's operation characteristics, consisting of instantaneous speed and energy consumption, were collected on the representative streets of Hanoi, Vietnam. Various Artificial Neural Network-based model architectures and input variables were assessed to determine the optimal one. The developed model consists of three input variables of instant speed, acceleration, and vehicle-specific power, and has the highest predictability with a correlation coefficient <em>R</em> &gt;0.9. A good similarity between the predicted and measured energy consumption was also obtained with an R-value of 0.90 to 0.94 for the independent data not included in the network training step. The model was developed as a valuable tool to assess the energy demand of vehicles under real driving conditions, thereby supporting the construction of the E2W eco-system to meet Vietnam's green energy transition target of Net-zero emissions by 2050.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"87 ","pages":"Article 101745"},"PeriodicalIF":4.4,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Contributors to the carbon emissions of metropolises at different development levels","authors":"Han Jiang ,&nbsp;Shan Jiang ,&nbsp;Buda Su ,&nbsp;Jian Zhou ,&nbsp;Chen Jing ,&nbsp;Dongfang Wang ,&nbsp;Tong Jiang ,&nbsp;Runhong Xu","doi":"10.1016/j.esd.2025.101736","DOIUrl":"10.1016/j.esd.2025.101736","url":null,"abstract":"<div><div>The urbanization process of metropolises in China has accelerated in recent years, with the number of urban residents increasing by 21 % per decade (21 %/10a) and the per capita gross domestic product (per capita GDP) increasing by 120 % per decade (120 %/10a) from 2000 to 2019. In parallel with this rapid economic development, carbon emissions have greatly increased, rising by 141 % in 20 years. Understanding the carbon emission trend and its influencing factors is necessary to find plausible pathways for decarbonization. Using data from the Carbon Emission Accounts and Datasets (CEADs), this study analyses the spatiotemporal variations in urban carbon emissions from 2000 to 2019 via the ridge regression method, and the STIRPAT model is adopted, with provincial capitals in China as an example. The cities are classified into three stages of development (i.e., developed, developing and least developed cities) according to per capita GDP to explore the discrepancy in carbon emissions and influencing factors across different types of cities. (1) Urban carbon emissions show a fluctuating upwards trend for the overall sample, with yearly growth rates of 8 % per annum (8 %/a) for 2000–2009 and 2 % per annum (2 %/a) for 2010–2019. (2) For developed cities, affluence is the most significant influencing factor, followed by urbanization rate and energy intensity. In developing cities, carbon emissions initially increased rapidly and then presented a decelerating growth rate, with the main influencing factors being affluence, energy structure and industry structure. In the least developed cities, carbon emissions present a persistent increasing trend and are influenced mainly by affluence, energy structure and urbanization rate. (3) To coordinate economic benefits and carbon emissions, developed cities need to focus on reducing energy consumption, whereas developing cities need to accelerate energy and industrial transformation. For the least developed cities, strong emission reduction efforts may start later for socioeconomic reasons.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"87 ","pages":"Article 101736"},"PeriodicalIF":4.4,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"30 years of Energy for Sustainable Development: A bibliometric overview","authors":"Keivan Amirbagheri ,&nbsp;José M. Merigó ,&nbsp;August Corrons","doi":"10.1016/j.esd.2025.101741","DOIUrl":"10.1016/j.esd.2025.101741","url":null,"abstract":"<div><div>Energy for Sustainable Development is a leading international journal in the fields of energy research and sustainable development, published on behalf of the International Energy Initiative. The journal was first published in 1994. In celebration of its 30th anniversary in 2024, this paper presents a comprehensive bibliometric overview of the most significant trends in the journal between 1994 and 2023. The objective of this study is to identify the journal's impact, the most productive and influential authors, institutions, countries/territories, leading topics, and to analyse their evolution over time. The work is primarily based on data from the Scopus database. In certain instances, the Web of Science Core Collection database is employed to improve the bibliographic analysis. Furthermore, we present a graphical mapping of the bibliographic material, employing the Visualisation of Similarities (VOS) viewer software to facilitate more in-depth analyses. The graphical visualisation utilises co-citation, bibliographic coupling, and co-occurrence of author keywords. The results highlight the substantial growth and impact of the journal throughout its entire lifetime. It is anticipated that the journal will continue to expand its international diversity and disseminate knowledge in energy research and sustainable development on a global scale.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"87 ","pages":"Article 101741"},"PeriodicalIF":4.4,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143912898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation and optimization of hybrid renewable energy system to achieve a net-zero and flexible-interconnected service area for highways","authors":"Xiaoyong Xu ,&nbsp;Xiaojie Xu ,&nbsp;Sinan Li ,&nbsp;Xiwei Zhang ,&nbsp;Zeyuan Xu ,&nbsp;Tao Ma ,&nbsp;Weizhong Guo ,&nbsp;Zhenhua Xiong","doi":"10.1016/j.esd.2025.101740","DOIUrl":"10.1016/j.esd.2025.101740","url":null,"abstract":"<div><div>The increasing prevalence of distributed photovoltaics (PV) and electric vehicle charging stations within low-voltage distribution networks has led to challenges, such as transformer overloading in service areas and typically expanding transformer capacity is costly. To address these problems, a hybrid renewable energy system with high penetration of solar PV, battery storage, EV charger, and energy router is proposed, which aims to achieve a net-zero and flexible interconnected service area in Shannxi province. In this work, the mathematical model of PV, battery, and other components is developed to simulate energy flow throughout an entire year. The influence of the PV and battery capacity on the performance of the system is discussed to find the optimal system configuration, and the system performance is compared under different climate conditions. The results indicate that the northern region experiences a peak electrical load deficit of 50 kW, thus necessitating compensation from the southern region during the evening. The self-consumption rate (SCR) is 88.2 % and 53.9 % respectively, when the charging station load is considered or not. With battery capacity ranging from 100 to 300 kWh, the SCR increases from 86.6 % to 89.6 %, and the self-sufficiency rate (SSR) rises from 36 % to 37.3 %. When the PV capacity varies from 500 kW to 900 kW, the SSR increases from 29 % to 41.6 %, while the SCR decreases from 97 % to 77 %. The performance of the system in Shanghai is also simulated, and the results demonstrate that the SSR is 28.2 % and 61.6 % in Shanghai, respectively, which is lower than that in Shannxi province due to the higher solar irradiance, and the LCOE is 0.19 ￥/kWh higher than in Shannxi (0.13￥/kWh). The carbon reduction is 1294 t per year through the employment of the system, showing great benefit to the environment.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"87 ","pages":"Article 101740"},"PeriodicalIF":4.4,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and performance study of modified cookstove burner for biosyngas as green fuel toward sustainable energy system","authors":"Bheru Lal Salvi,&nbsp;Anshul Paliwal","doi":"10.1016/j.esd.2025.101737","DOIUrl":"10.1016/j.esd.2025.101737","url":null,"abstract":"<div><div>This study is focused on development of burner and utilization of biosyngas as green fuel for cookstove. The biosyngas was produced from waste biomass using downdraft gasifier. A commercially available self-aspirated cookstove burner (0.5 to 2.0 kW) for liquefied petroleum gas (LPG) was modified to operate with biosyngas as green fuel. The different burner heads with varying port diameters (2.0 to 6.0 mm) were developed and gas nozzle diameter was changed from 1 mm to 2 mm. Then experimental study was carried at different flow rates (10 to 30 LPM) of biosyngas. The maximum burner efficiency was found 43.2 % with 2.0 mm port diameter and gas flow rate of 30 LPM for community cooking; while for household cooking the burner with 4.0 mm port diameter and flow rate 10 LPM was found with burner efficiency 43.1 %. The biosyngas as green fuel is environment friendly and based on a case study; it was found that replacement of LPG by biosyngas offers cost savings of INR 576.0 per family (4 members) per year and saving of 0.4436 tons of CO₂ emission per year per family. The cost saving, about 4 % of yearly expenditure on LPG per family per year, may not be more appreciable, but biosyngas is renewable in nature and net CO₂ addition to the environment is zero. Therefore, burner optimization is required for different applications and biosyngas can be used for community cooking as green fuel for sustainable energy system.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"87 ","pages":"Article 101737"},"PeriodicalIF":4.4,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Incentivizing photovoltaic panel cleaning in green building standards: A policy framework","authors":"Abubaker Younis ,&nbsp;Petru Adrian Cotfas ,&nbsp;Daniel Tudor Cotfas","doi":"10.1016/j.esd.2025.101738","DOIUrl":"10.1016/j.esd.2025.101738","url":null,"abstract":"<div><div>In the built environment (BE), green building rating systems (GBRSs) serve as effective policy tools for promoting and ensuring sustainability across various aspects, including energy. These systems already reward the incorporation of renewable energy technologies, which are foundational to sustainable practices. Among these technologies, photovoltaic (PV) panels are widely integrated into the BE in various configurations. However, their performance is significantly impacted by environmental factors such as soiling, which can drastically reduce their efficiency. This work introduces a proposed policy framework within GBRSs to award points for the cleaning of PV panels. This “PV Cleaning and Maintenance Credit” introduces an innovative approach to elevate the role of renewable energy systems in GBRSs by emphasizing regular, sustainable maintenance. By guaranteeing optimal energy generation, this credit not only enhances the energy efficiency in green buildings but also addresses a critical gap in existing rating systems. Nonetheless, implementing such a credit presents challenges, including water usage concerns and cost implications. Overcoming these obstacles will be essential to fully realizing the potential of this proposed improvement to GBRSs.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"87 ","pages":"Article 101738"},"PeriodicalIF":4.4,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on tariff impact on new energy vehicle exports: Evidence from China's industrial chain perspective","authors":"Dong-xiao Yang ,&nbsp;Qian-ge Wu ,&nbsp;Lin-shu Qiu ,&nbsp;Xu-hui Chen ,&nbsp;Lin Tan ,&nbsp;Ying-na Tang ,&nbsp;Li-tao Wang","doi":"10.1016/j.esd.2025.101714","DOIUrl":"10.1016/j.esd.2025.101714","url":null,"abstract":"<div><div>This paper examines the impact of destination import tariffs and industrial chain development on China's exports of new energy vehicles (NEVs). It establishes an evaluation system for industrial development and a dynamic assessment model based on the entropy weight method, the virtual worst solution TOPSIS and gray relational degree. The study focuses on China's exports of five types of NEVs to 25 countries from 2015 to 2021. The findings indicate that higher import tariffs reduce NEV exports, but the development of the downstream industry helps mitigate this negative effect, while the overall development of the industrial chain boosts exports. Specifically, the growth of the midstream industry promotes electric vehicle exports, although tariffs have the opposite effect. Interestingly, neither tariffs nor industrial development significantly affect the export of hybrid vehicles. For developed countries, import tariffs are positively associated with NEV exports, with the development of the midstream industry having the greatest impact on export levels. In contrast, for developing countries, the growth of the downstream industry alleviates the negative impact of tariffs.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"87 ","pages":"Article 101714"},"PeriodicalIF":4.4,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimates of the impact of extreme weather considering climate change on the cooling/heating load of high-speed railway station in China","authors":"Jinwei Li,&nbsp;Xiaoling Cao,&nbsp;Peixian Zuo,&nbsp;Yanping Yuan,&nbsp;Tao Yu","doi":"10.1016/j.esd.2025.101735","DOIUrl":"10.1016/j.esd.2025.101735","url":null,"abstract":"<div><div>Global warming has intensified extreme weather events, significantly impacting the design and operation of building energy systems. In China, such extreme weather presents substantial challenges to the performance of building energy systems, particularly for rapidly developing public buildings like high-speed railway stations (HSRS). The heating and cooling systems in HSRS buildings have faced increasing strain due to these extreme weather events. This study proposes a novel method for generating extreme meteorological years (XMY). It examines the impact of climate change on XMY generation using ECMWF Reanalysis v5 (ERA5) meteorological reanalysis data. The influence of XMY on the cooling and heating loads of three typical HSRS buildings in China is also assessed. The results indicate that climate change has led to a continuous increase in the average annual temperature of XMY. The XMY derived from distant historical weather data no longer accurately reflects the impacts of climate change. Specifically, compared to typical meteorological years (TMY), the effects of XMY on peak load in the three typical HSRS range from −20 % to 20 %, with extreme high weather increasing peak cooling load by approximately 10.00 %. The effect of extreme weather on the annual total load of most HSRS ranges from −13.00 % to 14.00 %, with extreme high weather causing a maximum increase of 9.00 % in the yearly total load. Therefore, the impact of XMY should be considered in the design of the HSRS energy system, and the system capacity should be appropriately increased.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"87 ","pages":"Article 101735"},"PeriodicalIF":4.4,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143843352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 user interactive tool for assessment of performance ratio for commercial solar photovoltaic system: Leveraging exergy and energy based inputs","authors":"Ms. Almas,&nbsp;Sivasankari Sundaram","doi":"10.1016/j.esd.2025.101734","DOIUrl":"10.1016/j.esd.2025.101734","url":null,"abstract":"<div><div>The practice of prediction and early estimation of Performance Ratio (PR) for grid integrated Photovoltaic (PV) system is critical for power reliability, techno-economic viability and regulatory compliance for plant owners and grid system operators. Current approaches for its estimation remain as a mathematical framework and can be employed only when the set of dependent monitored attributes are made available. Also, these derived system inputs are often challenging to assess or priorly estimable. Nevertheless, a classified approach that relies on pre-estimable factors concerning the electrical and thermal behaviour of PV plants can effectively and accurately assess its on-field performance. So, the presented investigation develops a user-friendly deep-learning based predictive tool for prediction/short-term estimation of PR encompassing novel thermo-electric attributes namely failure mode-based power degradation rate (R_d) and thermal exergy loss. The proposed approach is derived from a lager sample of minute-based observations ranging for an annual duration, belonging to a realistic 191.9 kW_p PV plant situated at Khopoli, India. The developed optimized Long Short-Term Modeler (LSTM) operates with a training and testing accuracy of 91.68 % and 90.61 % respectively. This is further transformed into a user interactive tool employing Tkinter in python. The predictor exhibited a highest prediction accuracy with least Mean Absolute Percentage Error (MAPE) of 0.0183 on comparing it with benchmark-based models like normalized ratio method, PVsyst, corrected PR and an existing model learning approach. It is also validated for a roof-top PV facility at Bengaluru, India and Koprübaşı, Turkey showing an MAPE as low as 5.81 % and 1.48 % respectively, in comparison to existing methodologies. So, the proposed PR analyser increases user interaction and is an accurate tool benefiting stakeholders in Solar PV Industry.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"87 ","pages":"Article 101734"},"PeriodicalIF":4.4,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}