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Optimal electrical energy supply system to meet emissions pledge under Paris climate agreement
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Ali Abbasi Godarzi *   , Abbas Maleki |
| Sharif University of Technology |
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Abstract: (2882 Views) |
| As part of its Paris Agreement commitment, Iran pledged to decrease 4 % of its carbon dioxide (CO2) emissions from 2020 to 2030. About 30% of total emissions in Iran belongs to electricity supply network while energy consumption in other sectors (transport, household, and industry) have a lower share in CO2 emission. The main concern here is finding the optimal model of power plants in the electricity supply system that should be deployed to meet Iran’s mentioned respective targets and considering simultaneously interests of consumers and producers in its energy system. So, in this article we developed a non-linear mathematical programming model for Iran’s electricity system to address this concern with changing attitude modeling from a social planner perspective to a private investor perspective. Later, this model has been run for years between 2017-2030. Results show that a 10-20% diffusion of renewable energy, imposing Carbon tax (25 USD per tonneCO2) and converting gas turbine power plants to gas combined cycle technology with 5% annual rate can satisfy Iran’s emissions pledge under the Paris Climate Agreement. Therefore, by imposing a carbon tax, supporting renewable power plants (reducing capital cost and providing a reasonable rate of guaranteed purchase of electricity), and considering on converting gas turbine power plants to gas combined cycle technology we can hope for the operational implementation of the Paris Agreement in the desired period. |
Article number: 5 |
| Keywords: Electricity Supply Syste, Energy Demand, Welfare Maximization, Greenhouse Gas Emission, Paris Agreement |
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Type of Study: Research |
Subject:
Special
Received: 2021/07/24 | Accepted: 2021/07/1 | Published: 2022/10/29
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