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Greenhouse gases allocation efficiency assessment in the electricity supply chain using the zero-sum gains model: a case study in the power industry
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M. Pouralizadeh   |
| Department of Applied Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, Iran |
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Abstract: (51 Views) |
The energy and power plant sectors of the power industry are among the major greenhouse gas emission sources. Oil and gas fields, refineries, and power plants should control harmful emissions to prevent pollutants from damaging the environment. A practical way of doing this is to monitor the total emissions amount in the electricity supply chain divisions and establish emissions trading rights, assuming that the allocation of the total emissions amount will be determined based on the target total amount. The current paper, applying the input-oriented ZSG-DEA model, computed the allocation efficiency of nitrogen oxides, sulfur oxides, carbon dioxide, and methane emission rights in the energy and power plant sectors of the electricity supply chain. For this to happen, the inefficient divisions had to decrease their emissions and search for partners that enabled them to reduce their emissions to keep the global emissions unchanged. With this in mind, the proposed approach in the present study distinguished effective sectors of an electricity supply chain with a high emission level as a cooperative set that provided a compensatory reduction to achieve the established limit. The results suggested that oil fields had a fundamental need for sulfur monoxide and carbon dioxide reduction in 70% of the supply chains, while the gas field emission efficiency of 50% of the supply chains was approximately close to 1. Although power plants were efficient in at least 70% of the supply chains, some power plants emitted the highest amounts of sulfur oxide because they lacked investment and effective cooperation for pollution abatement.
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| Keywords: Carbon emission trading, Emission efficiency, Pollutant emissions trading rights, Sustainable supply chain |
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Full-Text [PDF 1107 kb]
(21 Downloads)
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Type of Study: Research |
Subject:
General
Received: 2024/06/16 | Accepted: 2024/08/20
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