Proposing a Mathematical Model to Expand Power Generation Capacity Considering Dispersed Generation Units to Decrease Carbon Dioxide

Document Type : Research Paper


1 Associate Professor, Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran

2 Professor, Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran.

3 NullAssociate Professor, Faculty of Industrial Engineering, University of Tehran, Tehran, Iran

4 Professor, Faculty of Industrial Engineering, Sharif University of Technology, Tehran, Iran

5 Mohammad Reza Taghizadeh Yazdi, Ph.D. Assistant Professor / Department of Industrial Management Faculty of Management / University of Tehran


This study presents a
mathematical model for the development of power plants capacity to control
carbon dioxide. The objective function of the model is to minimize the costs of
investing in new power plants, costs of fuels, costs of maintenance and social
costs of carbon dioxide over the years from 2011 to 2025. The model has some constraints
including demand, development of renewable power plants and development of dispersed
generation sites. The proposed model has been solved and analyzed in different
scenarios regarding approaches such as "economic and environmental", “economic”
and “decreasing the costs of investment in renewable technologies”. It should
be noted that having conducted the first scenario, the sensitivity of the
mathematical model has been studied in relation to a number of parameters.
These parameters include the efficiency of technologies, the social costs of
carbon dioxide and the costs of maintaining power generation technologies. In the
scenario with economic and environmental approach, combined cycle technologies,
CHP, small wind and large wind; and in the economic approach, combined cycle
technology, CHP and large wind have been justified. Moreover, in the scenario
with the reduction of investment costs, variables related to renewable
technologies, combined cycle technology, CHP, small wind, large wind and
photovoltaic have been taken into account.


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