{"title":"Multi-criteria decision analysis using GIS in assessing suitability for a solar-powered biomass briquetting plant in the Gambella region, Ethiopia","authors":"Koat Jing Riek , Wondwossen Bogale Eremed","doi":"10.1016/j.tfp.2024.100732","DOIUrl":null,"url":null,"abstract":"<div><div>Biomass briquetting presents a promising avenue for alternative cooking energy, enhancing livelihoods, and fostering sustainable development. This study underscores the abundant biomass resources in the Gambella region, primarily composed of savanna and woody savanna, which encompass 77 % of the land area, consisting mainly of forest and agricultural waste. Leveraging these resources can ensure a renewable and sustainable cooking energy supply, aligning with Sustainable Development Goals (SDGs) related to clean energy and environmental conservation. Consequently, this thesis endeavors to identify optimal sites for establishing solar-powered non-wooden biomass briquetting plants across the region. Various spatial and non-spatial datasets, including solar radiation, slope, land use/land cover (LULC), and proximity to roads, rivers, and towns, were utilized for area delineation and mapping. Parameters such as solar radiation, slope, and river streams were derived from 30 m resolution digital elevation models (DEMs). The Analytical Hierarchy Process (AHP) was employed to calculate criteria weights for overlay analysis, resulting in a suitable solar farm site map. The study reveals that land use/land cover exerts the most significant influence, with a weight of 46.58 %, followed by solar radiation strength (20.42 %), slope (15.52 %), proximity to roads (8.26 %), proximity to rivers (5.46 %), and proximity to towns (3.77 %). By integrating parameter suitability and weight assignment in ArcGIS spatial analysis, a suitability map was generated, highlighting highly suitable areas predominantly along the North-South axis through central Gambella. This area covers approximately 12,094.49 km², constituting 47 % of the study area. These findings have practical implications, as they can inform local policymakers and actors in strategically addressing the region's dire need for sustainable cooking energy. This contribution can support the development of localized renewable energy strategies and promote long-term energy security in line with local energy policies.</div></div>","PeriodicalId":36104,"journal":{"name":"Trees, Forests and People","volume":"19 ","pages":"Article 100732"},"PeriodicalIF":2.7000,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trees, Forests and People","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666719324002383","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0
Abstract
Biomass briquetting presents a promising avenue for alternative cooking energy, enhancing livelihoods, and fostering sustainable development. This study underscores the abundant biomass resources in the Gambella region, primarily composed of savanna and woody savanna, which encompass 77 % of the land area, consisting mainly of forest and agricultural waste. Leveraging these resources can ensure a renewable and sustainable cooking energy supply, aligning with Sustainable Development Goals (SDGs) related to clean energy and environmental conservation. Consequently, this thesis endeavors to identify optimal sites for establishing solar-powered non-wooden biomass briquetting plants across the region. Various spatial and non-spatial datasets, including solar radiation, slope, land use/land cover (LULC), and proximity to roads, rivers, and towns, were utilized for area delineation and mapping. Parameters such as solar radiation, slope, and river streams were derived from 30 m resolution digital elevation models (DEMs). The Analytical Hierarchy Process (AHP) was employed to calculate criteria weights for overlay analysis, resulting in a suitable solar farm site map. The study reveals that land use/land cover exerts the most significant influence, with a weight of 46.58 %, followed by solar radiation strength (20.42 %), slope (15.52 %), proximity to roads (8.26 %), proximity to rivers (5.46 %), and proximity to towns (3.77 %). By integrating parameter suitability and weight assignment in ArcGIS spatial analysis, a suitability map was generated, highlighting highly suitable areas predominantly along the North-South axis through central Gambella. This area covers approximately 12,094.49 km², constituting 47 % of the study area. These findings have practical implications, as they can inform local policymakers and actors in strategically addressing the region's dire need for sustainable cooking energy. This contribution can support the development of localized renewable energy strategies and promote long-term energy security in line with local energy policies.