ABSTRACT

Significant increments of energy demand and the need to decarbonize the existing energy systems motivate policymakers to utilize renewable energy resources. Accordingly, this paper suggests a hybrid electricity generation system that operates with wind and municipal solid waste biomass to generate monotonous currents and protect the environment by using a portion of the urban wastes. To select a hybrid power plant location, Z-number data envelopment analysis is employed considering economic, social, environmental, and strategic factors, in addition to reliability of fuzzy data. Furthermore, a routing problem is solved by the particle swarm optimization algorithm to calculate the optimal cost of urban waste gathering. As a case study, the model is applied to thirty-one cities in Iran; Shahrbabak, Meymeh, and Birjand are three cities selected as optimal hybrid power plant locations. Finally, the sensitivity analysis results indicate the importance of globally adopting land cost and distance from power distribution network factors.

摘要

能源需求的显着增加和对现有能源系统脱碳的需要促使政策制定者利用可再生能源。因此，本文提出了一种混合发电系统，该系统利用风能和城市固体废物生物质来产生单调电流并通过使用部分城市废物来保护环境。为了选择混合发电厂的位置，除了模糊数据的可靠性之外，还考虑了经济、社会、环境和战略因素，采用了 Z 数数据包络分析。此外，通过粒子群优化算法解决路由问题，以计算城市垃圾收集的最佳成本。作为案例研究，该模型应用于伊朗的 31 个城市；沙尔巴巴克，梅梅，和 Birjand 是三个被选为最佳混合发电厂位置的城市。最后，敏感性分析结果表明全球采用土地成本和配电网络距离因素的重要性。