Energy Investment Planning at a Private Company: a Mathematical Programming-Based Model and Its Application in Turkey
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Date
2017
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
0
OpenAIRE Views
3
Publicly Funded
No
Abstract
We consider a mid-sized private electricity generating company that plans to enter the market that is partially regulated. There is a cap and trade system in operation in the industry. There are nine possible power plant types that the company considers to invest on through a planning horizon. Some of these plants may include a carbon capture and storage technology. We develop a stochastic mixed-integer linear program for this problem where the objective is to maximize the expected net present value of the profit obtained. We include restrictions on the maximum and minimum possible amount of investment for every type of investment option. We also enforce market share conditions such that the percentage of the total investments of the company over the total installed capacity of the country stay between upper and lower bounds. Moreover, in order to distribute the investment risk, the percentage of each type of power plant investment is restricted by some upper bound. We tested the model for a hypothetical company operating in Turkey. The results show that the model is suitable to be used for determining the investment strategy of the company.
Description
Semra Ağralı (MEF Author)
Keywords
Investment planning, Stochastic optimization, Mixed-integer linear programming, Generation expansion planning
Turkish CoHE Thesis Center URL
Fields of Science
0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
Agral, S., Terzi, F., Adyeke, E., Canakolu, E., & Arikan, Y. (November 01, 2017). Energy investment planning at a private company: A mathematical programming-based model and its application in Turkey. Ieee Transactions on Power Systems, 32, 6, 4180-4187.
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
11
Source
Ieee Transactions On Power Systems
Volume
32
Issue
6
Start Page
4180
End Page
4187
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Citations
CrossRef : 4
Scopus : 13
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Mendeley Readers : 36
SCOPUS™ Citations
13
checked on Feb 03, 2026
Web of Science™ Citations
10
checked on Feb 03, 2026
Page Views
275
checked on Feb 03, 2026
Downloads
29
checked on Feb 03, 2026
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