Thermo-economic modeling and GIS-based spatial data analysis of ground source heat pump systems for regional shallow geothermal mapping
作者： Younes Noorollahi , Hamidreza Gholami Arjenaki , Roghayeh Ghasempour
DOI: 10.1016/J.RSER.2017.01.099
关键词: Heat pump 、 Geothermal energy 、 Geothermal heat pump 、 Civil engineering 、 Design load 、 Mean radiant temperature 、 Multivariate interpolation 、 Geothermal gradient 、 Environmental science 、 Spatial analysis
摘要: The increasing interest in ground source heat pump system (GSHP) as well its high initial investment cost accentuate the necessity for an assessment tool which supports policy makers with decisions regarding technology development and subsidization. Since performance of a geothermal depends strongly on parameters such geological climate conditions, regional-scale energy-economic mapping by spatial analysis was accomplished priority each region is to be subsidized. procedure includes numerical modeling optimization GSHP systems Genetic Algorithm (GA), regional heating/cooling design load estimation data achieve economic-based map 234 cities Iran. Moreover, interpolation carried out order statistical surface entire country. For first time, Iran's shallow accurately presented along other geographical maps including air earth surface’s mean temperature, loads, required operating hours climatology. Total Annual Cost (TAC) values were categorized into five equal ranges from CA (the highest class) CE lowest highlight convenient regions energy use. Finally, Iran’s provinces sorted according TAC weighted average values.
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