Decision-making model of generation technology under uncertainty based on real option theory. (15th February 2016)

• Record Type: Journal Article
• Authors: Ming, Zeng; Ping, Zhang; Shunkun, Yu; Ge, Zhang
• Is Part Of: Energy conversion and management. Volume 110(2016)
• Page Start: 59
• Page End: 66
• Publication Date: 2016-02-15
• Subjects: Decision-making model -- Generation technology -- Real option theory -- Irreversible investment; Direct energy conversion -- Periodicals; Energy storage -- Periodicals; Energy transfer -- Periodicals; Énergie -- Conversion directe -- Périodiques; Direct energy conversion; Periodicals; 621.3105
• DOI: 10.1016/j.enconman.2015.12.005
• Languages: English
• ISSNs: 0196-8904

Abstract

Highlights: A decision-making model of generation technology investment is proposed. The irreversible investment concept and real option theory is introduced. Practical data was used to prove the validity of the model. Impact of electricity and fuel price fluctuation on investment was analyzed. Abstract: The introduction of market competition and the increased uncertainty factors makes the generators have to decide not only on whether to invest generation capacity or not but also on what kind of generation technology to choose. In this paper, a decision-making model of generation technology investment is proposed. The irreversible investment concept and real option theory is introduced as the fundamental of the model. In order to explain the decision-making process of generator's investment, the decision-making optimization model was built considering two generation technologies, i.e., the heat-only system and the combined heat and power generation. Also, we discussed the theory deducing process, which explained how to eliminate the overrated economic potential caused by risk hazard, based on economic evaluation of both generation technologies. Finally, practical data from electricity market of Inner Mongolia was used to prove the validity of the model and the impact of uncertainties of electricity and fuel price fluctuation on investment was analyzed according to the simulated results.