{"title":"可持续住宅建筑的可再生电力和氢气生产方案的生命周期评估和基于saw的排名:伊朗kerman的案例研究","authors":"Mehdi Jahangiri","doi":"10.1016/j.energy.2025.138767","DOIUrl":null,"url":null,"abstract":"<div><div>The increasing demand for sustainable energy and the need to reduce environmental pollutants highlight the importance of renewable resources. This study evaluates four scenarios for electricity and hydrogen production in a sustainable residential building in Kerman. Using HOMER software, life cycle assessment, and Simple Additive Weighting (SAW) method, it comprehensively assesses economic and environmental indicators. The criteria include economic cost, water consumption, CO<sub>2</sub> emissions, and social cost of pollutants. Results show that the Photovoltaic panel (PV)-Grid-Reformer scenario has the lowest cost ($168,180), while the PV-Wind Turbine (WT)-Grid-Reformer-Electrolyzer scenario has nearly double the cost. Regarding water consumption, the WT-Grid-Reformer scenario records the lowest value at 22,444,474 L, with the fourth scenario consuming 8.2 % more. Environmentally, the PV-WT-Grid-Reformer scenario achieves the lowest CO<sub>2</sub> emissions (−1,420,200 kg), while the PV-WT-GridReformer-Electrolyzer scenario shows the highest (44,040 kg). The best and worst social costs are -$37,041 (PV-WT-Grid-Reformer scenario) and $1148 (PV-WT-GridReformer-Electrolyzer scenario), respectively. Sensitivity analysis and SAW ranking reveal that the first scenario is optimal in cost-centered conditions, whereas the third scenario ranks first when considering environmental concerns, balanced criteria, and water sensitivity. Overall, integrating solar and wind with a reformer appears ideal for minimizing pollutants and social costs, while the use of electrolyzers, due to their high cost and water demand, is less suitable for arid regions like Kerman. Additionally, a Monte Carlo sensitivity analysis with 5000 iterations confirmed the robustness of the SAW-based ranking, showing that the PV–WT–Grid–Reformer scenario ranked first in over 74.5 % of cases, highlighting its consistent superiority across varying decision-making preferences.</div></div>","PeriodicalId":11647,"journal":{"name":"Energy","volume":"338 ","pages":"Article 138767"},"PeriodicalIF":9.4000,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Life cycle assessment and SAW-Based ranking of renewable electricity and hydrogen production scenarios for sustainable residential architecture: A case study in kerman, Iran\",\"authors\":\"Mehdi Jahangiri\",\"doi\":\"10.1016/j.energy.2025.138767\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The increasing demand for sustainable energy and the need to reduce environmental pollutants highlight the importance of renewable resources. This study evaluates four scenarios for electricity and hydrogen production in a sustainable residential building in Kerman. Using HOMER software, life cycle assessment, and Simple Additive Weighting (SAW) method, it comprehensively assesses economic and environmental indicators. The criteria include economic cost, water consumption, CO<sub>2</sub> emissions, and social cost of pollutants. Results show that the Photovoltaic panel (PV)-Grid-Reformer scenario has the lowest cost ($168,180), while the PV-Wind Turbine (WT)-Grid-Reformer-Electrolyzer scenario has nearly double the cost. Regarding water consumption, the WT-Grid-Reformer scenario records the lowest value at 22,444,474 L, with the fourth scenario consuming 8.2 % more. Environmentally, the PV-WT-Grid-Reformer scenario achieves the lowest CO<sub>2</sub> emissions (−1,420,200 kg), while the PV-WT-GridReformer-Electrolyzer scenario shows the highest (44,040 kg). The best and worst social costs are -$37,041 (PV-WT-Grid-Reformer scenario) and $1148 (PV-WT-GridReformer-Electrolyzer scenario), respectively. Sensitivity analysis and SAW ranking reveal that the first scenario is optimal in cost-centered conditions, whereas the third scenario ranks first when considering environmental concerns, balanced criteria, and water sensitivity. Overall, integrating solar and wind with a reformer appears ideal for minimizing pollutants and social costs, while the use of electrolyzers, due to their high cost and water demand, is less suitable for arid regions like Kerman. Additionally, a Monte Carlo sensitivity analysis with 5000 iterations confirmed the robustness of the SAW-based ranking, showing that the PV–WT–Grid–Reformer scenario ranked first in over 74.5 % of cases, highlighting its consistent superiority across varying decision-making preferences.</div></div>\",\"PeriodicalId\":11647,\"journal\":{\"name\":\"Energy\",\"volume\":\"338 \",\"pages\":\"Article 138767\"},\"PeriodicalIF\":9.4000,\"publicationDate\":\"2025-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0360544225044093\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360544225044093","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Life cycle assessment and SAW-Based ranking of renewable electricity and hydrogen production scenarios for sustainable residential architecture: A case study in kerman, Iran
The increasing demand for sustainable energy and the need to reduce environmental pollutants highlight the importance of renewable resources. This study evaluates four scenarios for electricity and hydrogen production in a sustainable residential building in Kerman. Using HOMER software, life cycle assessment, and Simple Additive Weighting (SAW) method, it comprehensively assesses economic and environmental indicators. The criteria include economic cost, water consumption, CO2 emissions, and social cost of pollutants. Results show that the Photovoltaic panel (PV)-Grid-Reformer scenario has the lowest cost ($168,180), while the PV-Wind Turbine (WT)-Grid-Reformer-Electrolyzer scenario has nearly double the cost. Regarding water consumption, the WT-Grid-Reformer scenario records the lowest value at 22,444,474 L, with the fourth scenario consuming 8.2 % more. Environmentally, the PV-WT-Grid-Reformer scenario achieves the lowest CO2 emissions (−1,420,200 kg), while the PV-WT-GridReformer-Electrolyzer scenario shows the highest (44,040 kg). The best and worst social costs are -$37,041 (PV-WT-Grid-Reformer scenario) and $1148 (PV-WT-GridReformer-Electrolyzer scenario), respectively. Sensitivity analysis and SAW ranking reveal that the first scenario is optimal in cost-centered conditions, whereas the third scenario ranks first when considering environmental concerns, balanced criteria, and water sensitivity. Overall, integrating solar and wind with a reformer appears ideal for minimizing pollutants and social costs, while the use of electrolyzers, due to their high cost and water demand, is less suitable for arid regions like Kerman. Additionally, a Monte Carlo sensitivity analysis with 5000 iterations confirmed the robustness of the SAW-based ranking, showing that the PV–WT–Grid–Reformer scenario ranked first in over 74.5 % of cases, highlighting its consistent superiority across varying decision-making preferences.
期刊介绍:
Energy is a multidisciplinary, international journal that publishes research and analysis in the field of energy engineering. Our aim is to become a leading peer-reviewed platform and a trusted source of information for energy-related topics.
The journal covers a range of areas including mechanical engineering, thermal sciences, and energy analysis. We are particularly interested in research on energy modelling, prediction, integrated energy systems, planning, and management.
Additionally, we welcome papers on energy conservation, efficiency, biomass and bioenergy, renewable energy, electricity supply and demand, energy storage, buildings, and economic and policy issues. These topics should align with our broader multidisciplinary focus.