Impact of forecasting horizon and uncertainty increase on the methods for competitiveness assessment of new power plants

 
PIIS000233100002361-1-1
DOI10.31857/S000233100002361-1
Publication type Article
Status Published
Authors
Affiliation: Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences
Address: Russian Federation, Irkutsk
Affiliation: Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences
Address: Russian Federation, Irkutsk
Journal nameIzvestiia Rossiiskoi akademii nauk. Energetika
EditionIssue 4
Pages21-30
Abstract

The paper deals with the problem of integrated assessment of comparative effectiveness of different types of power plants in terms of increasing uncertainty and complication of energy-economy interrelations. The foreign data on variation in technical and economic indicators of new power plants are analyzed. It is important to consider investment risks when comparing the projects and choosing the rational structure of power plants. The methods for their quantitative evaluation are suggested. Expediency of using a system of optimization and stochastic models for integrated assessment of social effectiveness is justified, The composition of models is showed to depend on the forecasting horizon. The results of performed experimental calculations revealed a possible pronounced impact of the options for new capacity commissioning on social effectiveness: nature of initial data uncertainty, values of the discount factor (its risk component) assumed in calculations, level of model aggregation.

Keywordspower plants, comparative effectiveness, forecasting, uncertainty
Received26.11.2018
Publication date04.12.2018
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