Hybrid wind-municipal solid waste biomass power plant location selection considering waste collection problem: a case study

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.

KEYWORDS:

• Location selection
• hybrid wind-municipal solid waste biomass power plant
• multi-criteria decision making
• data envelopment analysis
• Z-number uncertainty
• waste collection problem

Acknowledgments

The authors would like to thank the editor and anonymous reviewers for their helpful comments, which improved the quality of this research.

Supplementary Material

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