A simulation-based optimization model to determine optimal electricity prices under various scenarios considering stakeholders’ objectives
Hamed Dehghan and
Mohammad Reza Amin-Naseri
Energy, 2022, vol. 238, issue PC
Abstract:
Electricity subsidy is allocated by many governments to help access electricity, support domestic industries and achieve social objectives. However, by distorting price signals, problems such as over consumption, low efficiency and investment shortage are attributed to this policy. Thus, many countries want to reduce or remove subsidies. A simulation-based optimization model using system dynamics approach is presented to determine optimal prices for electricity demand sectors and power plants' fuels under demand scenarios considering objectives of Iran's power sector stakeholders, namely government, electricity consumers and electricity producers. The model uses the prices of energy carriers determined based on economic, social and environmental criteria to simulate their impact on supply and demand of electricity, environmental emissions, water consumption and allocated subsidies. Simulation results indicate the household sector should have considerable higher prices in all scenarios. Moreover, with 57% decline in allotted funds, a complete removal of subsidies occurs in case 4. It is shown electricity export reaches 11% of total consumption. Also, CO2 emission and water use respectively decreases by 17.2% and 18.1%. The electricity supply reaches 61% more than the current value and average efficiency of thermal plants reaches 58.31% by 2040, compared respectively with −12% and 42.7%, in case 1.
Keywords: Electricity; System dynamics; Pricing; Carbon dioxide emissions; Subsidy; Water consumption (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221021010
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:238:y:2022:i:pc:s0360544221021010
DOI: 10.1016/j.energy.2021.121853
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().