[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1529":3,"related-1529":76},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"source_name":9,"source_url":6,"published_at":10,"category":11,"cover_url":12,"hotness":13,"is_selected":14,"embedding_ready":15,"score":16,"sources":17,"tags":19,"primary_topic":12,"secondary_topics":21,"search_phrases":22,"slug":23,"view_count":16,"doi":24,"paper":25,"created_at":43,"content":12,"score_detail":44,"classification":46},1529,"DATA-DRIVEN OPTIMAL SITE SELECTION FOR SOLAR POWER PLANTS BASED ON SOLAR IRRADIANCE ANALYSIS","https:\u002F\u002Fdoi.org\u002F10.36306\u002Fkonjes.1699138","Solar power plants play a critical role in meeting global energy demands in a sustainable and environmentally friendly manner. The efficiency and long-term sustainability of clean energy production largely depend on the optimal siting of these plants, making solar irradiation data a crucial factor for ensuring maximum energy yield. This study focuses on Global Horizontal Irradiance (GHI), one of the most significant and widely used indicators in the literature for identifying suitable solar power plant locations, by performing monthly analyses through remote sensing (RS) and geographic information systems (GIS). Regions with higher irradiation levels were classified accordingly. Technical, environmental, and economic factors, which may vary across countries or regions, were intentionally excluded to highlight the primary influence of solar irradiance on site suitability. The study was conducted specifically for the Elmalı district in Antalya, Türkiye. Results show that 28% of the area is highly suitable for solar power plant installation, 33% is moderately suitable, and 39% is less suitable based on GHI. In absolute terms, 4,969 hectares are classified as \"very high suitability\" and 43,038 hectares as \"high suitability,\" indicating areas with strong investment potential. This study provides a clear, data-driven assessment of irradiance-based suitability and is expected to support and guide strategic solar energy investment and planning decisions in the region.","太阳能电站在以可持续且环境友好的方式满足全球能源需求方面发挥着关键作用。清洁能源生产的效率和长期可持续性在很大程度上取决于这些电站的优化选址，这使得太阳辐照度数据成为确保最大能源产出的关键因素。本研究聚焦于全球水平辐照度（Global Horizontal Irradiance, GHI）——文献中识别适宜太阳能电站选址的最重要且最广泛使用的指标之一，通过遥感（Remote Sensing, RS）和地理信息系统（Geographic Information Systems, GIS）进行月度分析。辐照度较高的区域被相应分类。技术、环境和经济因素可能因国家或地区而异，本研究有意将其排除在外，以突出太阳辐照度对选址适宜性的主要影响。研究具体针对土耳其安塔利亚省的埃尔马勒（Elmalı）地区开展。结果表明，基于GHI，该区域28%的面积高度适宜太阳能电站建设，33%中度适宜，39%适宜性较低。从绝对数值来看，4,969公顷被归类为“极高适宜性”，43,038公顷为“高适宜性”，表明这些区域具有强劲的投资潜力。本研究提供了基于辐照度的清晰、数据驱动的适宜性评估，预计将支持和指导该地区战略性太阳能投资与规划决策。","Konya Journal of Engineering Sciences","2026-09-01T00:00:00Z","论文",null,10,false,true,0,[18],{"name":9,"url":6},[20],"智慧农业",[],[],"DATA-DRIVENOPTIMALSITESELECTIONFORSOLARP-1529","10.36306\u002Fkonjes.1699138",{"doi":24,"openalex_id":26,"authors":27,"venue":9,"cited_by_count":16,"oa_url":34,"card":35,"direction":41,"ingested_from":42},"W7204917639",[28,31],{"name":29,"orcid":30},"Serdar Selim","https:\u002F\u002Forcid.org\u002F0000-0002-5631-6253",{"name":32,"orcid":33},"Nihat Karakuş","https:\u002F\u002Forcid.org\u002F0000-0002-6924-1879","https:\u002F\u002Fdergipark.org.tr\u002Fen\u002Fdownload\u002Farticle-file\u002F4869396",{"tldr":36,"method":37,"finding":38,"direction":39,"opportunity":40},"基于太阳辐照度分析，用遥感和GIS为太阳能电站选址，以土耳其Elmalı区为例。","遥感与GIS结合，分析全球水平辐照度(GHI)月度数据。","28%区域高度适宜，33%中度适宜，39%低度适宜；4969公顷极高适宜。","农业遥感与作物表型","可扩展至农业光伏互补系统，结合作物需光特性优化选址，实现土地多功能利用。","智慧农业 \u002F 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2026-10-20","2026-10-19T16:00:00Z",66,[145],{"name":141,"url":139},[20,147,148,149,150],"LED补光","温室环控","节能控制","番茄栽培",{"code":152,"slug":153,"name":154,"path":155,"parent_code":156},"B7","protected-horticulture","设施园艺与植物工厂","\u002Ftopic\u002Fhorticulture\u002Fprotected-horticulture","B",[],[159,160],"温室 LED补光 节能控制","马尔可夫链 太阳预报 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