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A fuzzy mixed integer goal programming approach for cooking and heating energy planning in rural India

机译:印度农村烹饪和供热能源计划的模糊混合整数目标规划方法

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摘要

In this study, a fuzzy mixed integer goal programming model (FMIGP) has been developed for rural cooking and heating energy planning in the Chikhli taluka of Buldhana district, Maharashtra, Central India. The model considers various scenarios such as economical, environmental, social acceptance and local resources to trade off between socio-economical and environmental issues related to cooking and heating energy in two villages namely Malshemba and Muradpur. Due to uncertainty involved in real world energy planning problems, exact input data is impossible to acquire. Hence FMIGP model is used to consider four fuzzy objectives. The solutions provide energy resource allocations at micro level with minimized cost, minimized emission, maximized social acceptance and maximized use of local resources. The proposed approach can handle fuzzy environmental realistic situation and can provide better solution to decision maker for rural energy planning.
机译:在这项研究中,已经为印度中部马哈拉施特拉邦的Buldhana区的Chikhli taluka的农村烹饪和供热能源计划开发了模糊混合整数目标规划模型(FMIGP)。该模型考虑了各种情景,例如经济,环境,社会认可度和当地资源,以便在Malshemba和Muradpur这两个村庄中与烹饪和热能相关的社会经济和环境问题之间进行权衡。由于现实世界中的能源规划问题涉及不确定性,因此无法获取准确的输入数据。因此,将FMIGP模型用于考虑四个模糊目标。该解决方案以最小的成本,最小的排放量,最大的社会认可度和最大程度地利用本地资源提供了微观层面的能源分配。该方法可以处理模糊的环境现实情况,可以为农村能源规划的决策者提供更好的解决方案。

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