Macro-site selection and obstacle factor extraction of biomass cogeneration based on comprehensive weight method of Game theory

Jing Xing Gao · Zhenfeng Wang · Zhanwu Wang · Chao Wang · Runkai Zhang · Guangyin Xu +1 more

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Multi-Criteria Decision Making Renewable energy and sustainable power systems Forest Biomass Utilization and Management

Abstract

Biomass energy can reduce the consumption of fossil fuels and reduce environmental pollution. The project site selection affects the production efficiency and economic benefits. Firstly, this study proposes a macro-site selection decision framework for biomass cogeneration considering carbon emission reduction. Secondly, this paper innovatively uses Nash equilibrium as the coordination goal, and introduces Game Theory to determine the optimal combination weight of Best-Worst Method (BWM) and Criteria Importance Though Intercriteria Correlation (CRITIC). Further thinking is needed to improve the comprehensive closeness measurement method, establish a Technique for Order Preference by Similarity to an Ideal Solution and Grey Relational Analysis (TOPSIS-GRA) site selection model that reflects distance and curve shape, and sort the plans. And then explore the barriers to improving the site selection environment. Finally take five cities in China as an example. The feasibility and the stability of the site selection decision-making framework in practical applications are verified by comparative analysis and weight sensitivity analysis. The results show that carbon emission is the primary barrier factor in the criterion layer. In the sub-criterion layer, transportation costs, carbon emission pressure, carbon benefits, industrial policies, and heating rate are the common obstacle factors in each region. To promote the long-term healthy development of the project, this study provides a theoretical reference for the new construction and expansion of biomass cogeneration projects, and has guiding significance for improving the location suitability of the project.

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2015Best-worst multi-criteria decision-making method: Some properties and a linear model 2021Does carbon pricing reduce emissions? A review of ex-post analyses 2019A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making 2019Evaluating green performance of the airports using hybrid BWM and VIKOR methodology 2018A group multi-criteria decision-making based on best-worst method 2018Sustainable outsourcing partner selection and evaluation using an integrated BWM–VIKOR framework 2017Optimizing the location of a biomass plant with a fuzzy-DEcision-MAking Trial and Evaluation Laboratory (F-DEMATEL) and multi-criteria spatial decision assessment for renewable energy management and long-term sustainability 2020Algorithms for probabilistic uncertain linguistic multiple attribute group decision making based on the GRA and CRITIC method: application to location planning of electric vehicle charging stations

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