A Mathematical Model for Multi-Region, Multi-Source, Multi-Period Generation Expansion Planning in Renewable Energy for Country-Wide Generation-Transmission Planning
Environmental pollution and rapid depletion are among the chief concerns about fossil fuels such as oil, gas, and coal. Renewable energy sources do not suffer from such limitations and are considered the best choice to replace fossil fuels. The present study develops a mathematical model for optimal...
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| Format: | Article |
| Language: | fas |
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University of Tehran
2020-12-01
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| Series: | Journal of Information Technology Management |
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| Online Access: | https://jitm.ut.ac.ir/article_78408_c2d0ea2f77d27d284b994738d481826c.pdf |
| _version_ | 1818332031104319488 |
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| author | Mohammadreza Taghizadeh-Yazdi Abdolkarim Mohammadi-Balani |
| author_facet | Mohammadreza Taghizadeh-Yazdi Abdolkarim Mohammadi-Balani |
| author_sort | Mohammadreza Taghizadeh-Yazdi |
| collection | DOAJ |
| description | Environmental pollution and rapid depletion are among the chief concerns about fossil fuels such as oil, gas, and coal. Renewable energy sources do not suffer from such limitations and are considered the best choice to replace fossil fuels. The present study develops a mathematical model for optimal allocation of regional renewable energy to meet a country-wide demand and its other essential aspects. The ultimate purpose is to minimize the total cost by planning, including power plant construction and maintenance costs and transmission costs. Minimum-cost flow equations are embedded in the model to determine how regions can supply energy to other regions or rely on them to fulfill annual demand. In order to verify the applicability of the model, it is applied to a real-world case study of Iran to determine the optimal renewable energy generation-transmission decisions for the next decade. Results indicate that the hydroelectric and solar power plants should generate the majority of the generated renewable electricity within the country, according to the optimal solution. Moreover, regarding the significant population growth and waste generation in the country’s large cities, biomass power plants can have the opportunity to satisfy a remarkable portion of electricity demand. |
| first_indexed | 2024-12-13T13:29:16Z |
| format | Article |
| id | doaj.art-07f716d946994dffb452a7c8b774d872 |
| institution | Directory Open Access Journal |
| issn | 2008-5893 2423-5059 |
| language | fas |
| last_indexed | 2024-12-13T13:29:16Z |
| publishDate | 2020-12-01 |
| publisher | University of Tehran |
| record_format | Article |
| series | Journal of Information Technology Management |
| spelling | doaj.art-07f716d946994dffb452a7c8b774d8722022-12-21T23:44:12ZfasUniversity of TehranJournal of Information Technology Management2008-58932423-50592020-12-0112421523110.22059/jitm.2020.298258.247678408A Mathematical Model for Multi-Region, Multi-Source, Multi-Period Generation Expansion Planning in Renewable Energy for Country-Wide Generation-Transmission PlanningMohammadreza Taghizadeh-Yazdi0Abdolkarim Mohammadi-Balani1Associate Prof., Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran.PhD Candidate, Department of Industrial Management, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran.Environmental pollution and rapid depletion are among the chief concerns about fossil fuels such as oil, gas, and coal. Renewable energy sources do not suffer from such limitations and are considered the best choice to replace fossil fuels. The present study develops a mathematical model for optimal allocation of regional renewable energy to meet a country-wide demand and its other essential aspects. The ultimate purpose is to minimize the total cost by planning, including power plant construction and maintenance costs and transmission costs. Minimum-cost flow equations are embedded in the model to determine how regions can supply energy to other regions or rely on them to fulfill annual demand. In order to verify the applicability of the model, it is applied to a real-world case study of Iran to determine the optimal renewable energy generation-transmission decisions for the next decade. Results indicate that the hydroelectric and solar power plants should generate the majority of the generated renewable electricity within the country, according to the optimal solution. Moreover, regarding the significant population growth and waste generation in the country’s large cities, biomass power plants can have the opportunity to satisfy a remarkable portion of electricity demand.https://jitm.ut.ac.ir/article_78408_c2d0ea2f77d27d284b994738d481826c.pdfrenewable energygeneration expansion planningtransmissionmathematical programmingiran |
| spellingShingle | Mohammadreza Taghizadeh-Yazdi Abdolkarim Mohammadi-Balani A Mathematical Model for Multi-Region, Multi-Source, Multi-Period Generation Expansion Planning in Renewable Energy for Country-Wide Generation-Transmission Planning Journal of Information Technology Management renewable energy generation expansion planning transmission mathematical programming iran |
| title | A Mathematical Model for Multi-Region, Multi-Source, Multi-Period Generation Expansion Planning in Renewable Energy for Country-Wide Generation-Transmission Planning |
| title_full | A Mathematical Model for Multi-Region, Multi-Source, Multi-Period Generation Expansion Planning in Renewable Energy for Country-Wide Generation-Transmission Planning |
| title_fullStr | A Mathematical Model for Multi-Region, Multi-Source, Multi-Period Generation Expansion Planning in Renewable Energy for Country-Wide Generation-Transmission Planning |
| title_full_unstemmed | A Mathematical Model for Multi-Region, Multi-Source, Multi-Period Generation Expansion Planning in Renewable Energy for Country-Wide Generation-Transmission Planning |
| title_short | A Mathematical Model for Multi-Region, Multi-Source, Multi-Period Generation Expansion Planning in Renewable Energy for Country-Wide Generation-Transmission Planning |
| title_sort | mathematical model for multi region multi source multi period generation expansion planning in renewable energy for country wide generation transmission planning |
| topic | renewable energy generation expansion planning transmission mathematical programming iran |
| url | https://jitm.ut.ac.ir/article_78408_c2d0ea2f77d27d284b994738d481826c.pdf |
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