Berino Francisco Silinto , Darlain Edeme , Silvia Corigliano , Aleksandar Dimovski , Marco Merlo , Christian Zuidema , André Faaij
{"title":"应用软链接和地理空间方法优化混合微电网和电网设计:莫桑比克农村环境案例研究","authors":"Berino Francisco Silinto , Darlain Edeme , Silvia Corigliano , Aleksandar Dimovski , Marco Merlo , Christian Zuidema , André Faaij","doi":"10.1016/j.esd.2025.101790","DOIUrl":null,"url":null,"abstract":"<div><div>Decentralised-based hybrid renewable energy systems represent one of the cost-effective solutions for supporting access to and the provision of reliable and secure electricity services in rural developing regions. Electrification planning tools considering the specificities of targeted areas concerning uncertainties about energy demands and resources, including the technology-cost trends, are essential for proper system integration. This work, therefore, proposes a comprehensive geospatial-based optimisation modelling framework based on GISEle tool, which was expanded to size hydropower technology in addition to its integrated wind and solar capabilities. Moreover, its procedures were interlinked with two external open-source assessment tools: the SWAT model for hydro resource potential and RAMP for energy demand, combined with tailored publicly available geospatial and interview-based data. The newly expanded framework was applied to the Majaua-AP case study in Mozambique by modelling three evolving demand scenarios under two community-grid spatial scales to plan a cost-effective electrification strategy. The analysis results emphasise that communities with differing population sizes, and power pick values can be identified in any region depending on the project settings. Additionally, it revealed that local circumstances influence the best techno-economic sizing regarding optimal network distribution and hybrid microgrid configuration designs. The grid routing layout shows a good approximation compared to ground realities. For each community, a portfolio of generation system configurations including either diesel+renewables (PV/Hydro/diesel/batteries, PV/diesel/batteries) or 100 % renewables share (PV/hydro/batteries, PV/batteries, and hydro/batteries) were achieved. The latter becomes mostly attractive under fixed demand and high fuel price scenarios; among individual community-based system configurations, the net present costs (NPC) range from US$k41–5384 (grid expansion) and US$k152–22,562 (generation) while US$k19,156 (grid expansion) and US$k46,426 (generation) considering the whole region. The levelised costs of electricity (LCOE) ranged from US$/kW 0.112–0.247. Finally, the evolving demand including hydro in the technology mix allowed substantial LCOE reduction in most of the installed communities.</div></div>","PeriodicalId":49209,"journal":{"name":"Energy for Sustainable Development","volume":"88 ","pages":"Article 101790"},"PeriodicalIF":4.9000,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Applying soft-link and geospatial methods for optimal hybrid microgrids and electric network designs: A case study on rural Mozambique settings\",\"authors\":\"Berino Francisco Silinto , Darlain Edeme , Silvia Corigliano , Aleksandar Dimovski , Marco Merlo , Christian Zuidema , André Faaij\",\"doi\":\"10.1016/j.esd.2025.101790\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Decentralised-based hybrid renewable energy systems represent one of the cost-effective solutions for supporting access to and the provision of reliable and secure electricity services in rural developing regions. Electrification planning tools considering the specificities of targeted areas concerning uncertainties about energy demands and resources, including the technology-cost trends, are essential for proper system integration. This work, therefore, proposes a comprehensive geospatial-based optimisation modelling framework based on GISEle tool, which was expanded to size hydropower technology in addition to its integrated wind and solar capabilities. Moreover, its procedures were interlinked with two external open-source assessment tools: the SWAT model for hydro resource potential and RAMP for energy demand, combined with tailored publicly available geospatial and interview-based data. The newly expanded framework was applied to the Majaua-AP case study in Mozambique by modelling three evolving demand scenarios under two community-grid spatial scales to plan a cost-effective electrification strategy. The analysis results emphasise that communities with differing population sizes, and power pick values can be identified in any region depending on the project settings. Additionally, it revealed that local circumstances influence the best techno-economic sizing regarding optimal network distribution and hybrid microgrid configuration designs. The grid routing layout shows a good approximation compared to ground realities. For each community, a portfolio of generation system configurations including either diesel+renewables (PV/Hydro/diesel/batteries, PV/diesel/batteries) or 100 % renewables share (PV/hydro/batteries, PV/batteries, and hydro/batteries) were achieved. The latter becomes mostly attractive under fixed demand and high fuel price scenarios; among individual community-based system configurations, the net present costs (NPC) range from US$k41–5384 (grid expansion) and US$k152–22,562 (generation) while US$k19,156 (grid expansion) and US$k46,426 (generation) considering the whole region. The levelised costs of electricity (LCOE) ranged from US$/kW 0.112–0.247. 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Applying soft-link and geospatial methods for optimal hybrid microgrids and electric network designs: A case study on rural Mozambique settings
Decentralised-based hybrid renewable energy systems represent one of the cost-effective solutions for supporting access to and the provision of reliable and secure electricity services in rural developing regions. Electrification planning tools considering the specificities of targeted areas concerning uncertainties about energy demands and resources, including the technology-cost trends, are essential for proper system integration. This work, therefore, proposes a comprehensive geospatial-based optimisation modelling framework based on GISEle tool, which was expanded to size hydropower technology in addition to its integrated wind and solar capabilities. Moreover, its procedures were interlinked with two external open-source assessment tools: the SWAT model for hydro resource potential and RAMP for energy demand, combined with tailored publicly available geospatial and interview-based data. The newly expanded framework was applied to the Majaua-AP case study in Mozambique by modelling three evolving demand scenarios under two community-grid spatial scales to plan a cost-effective electrification strategy. The analysis results emphasise that communities with differing population sizes, and power pick values can be identified in any region depending on the project settings. Additionally, it revealed that local circumstances influence the best techno-economic sizing regarding optimal network distribution and hybrid microgrid configuration designs. The grid routing layout shows a good approximation compared to ground realities. For each community, a portfolio of generation system configurations including either diesel+renewables (PV/Hydro/diesel/batteries, PV/diesel/batteries) or 100 % renewables share (PV/hydro/batteries, PV/batteries, and hydro/batteries) were achieved. The latter becomes mostly attractive under fixed demand and high fuel price scenarios; among individual community-based system configurations, the net present costs (NPC) range from US$k41–5384 (grid expansion) and US$k152–22,562 (generation) while US$k19,156 (grid expansion) and US$k46,426 (generation) considering the whole region. The levelised costs of electricity (LCOE) ranged from US$/kW 0.112–0.247. Finally, the evolving demand including hydro in the technology mix allowed substantial LCOE reduction in most of the installed communities.
期刊介绍:
Published on behalf of the International Energy Initiative, Energy for Sustainable Development is the journal for decision makers, managers, consultants, policy makers, planners and researchers in both government and non-government organizations. It publishes original research and reviews about energy in developing countries, sustainable development, energy resources, technologies, policies and interactions.