Abstract

Straw recycling has generated high collection and transportation costs. Scientifically informed collection, storage, and transportation methods can reduce automobile exhaust emissions and high transportation costs. According to the relevant statistics, China's total theoretical straw resources reached 920 million tons in 2020. Due to such regional and seasonal straw surpluses, however, comprehensive utilization technologies need to be improved, and farmers' awareness of environmental protection needs to be strengthened. In some areas, open burning of straw is still practiced, causing environmental pollution and wasting resources. This study used cost and carbon emission metrics in a dual-objective planning model to plan the site selection of straw collection and storage facilities. Compared with the current manual calculation in various links in straw supply logistics, modeling can resolve the contradiction between cost and carbon emission considerations and can help meet the goal of Pareto optimum while ensuring supply, reducing costs for enterprises, and providing decision-making assistance for the government. This paper uses transportation theory and a dual-objective, mixed-integer model to study the field of biomass energy. Through the planning and design of the biomass raw material supply chain, the system efficiency is improved, and the studied company can obtain more profits. This article also explores the role of controlling carbon emissions in the field of biomass energy. It is believed that the government not only needs to guide corporate decision-making by charging carbon taxes but also needs to support enterprises in participating in the field of biomass power generation through active policy guidance.

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