Modeling the Levelized Cost of Energy for Concentrating Solar Thermal Power Systems Based on a Nonlinear AutoRegressive Neural Network With Exogenous Inputs

Natalya Filippchenkova
Additional contact information
Natalya Filippchenkova: FSBSI FSAC VIM, Russia

International Journal of Energy Optimization and Engineering (IJEOE), 2021, vol. 10, issue 4, 1-17

Abstract: This article presents the results of the development of a mathematical model for predicting the levelized cost of energy (LCOE) for solar concentrating thermal power systems (CSP systems) based on a nonlinear autoregressive neural network with exogenous inputs (NARX). A two-layer NARX network with sigmoid hidden neurons and linear output neurons has been developed. The input layer is made up of the following variables: the volume of input power of CSP systems in the world, the total world energy consumption, domestic energy consumption, domestic gas consumption, domestic consumption of coal and lignite, domestic energy consumption, the share of renewable energy in electricity generation, the share of wind and solar energy in the production of electricity, carbon dioxide emissions from fuel combustion, the price of Brent oil against the US dollar, and the average price for natural gas auctions. The output layer specifies LCOE values for CSP systems.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJEOE.2021100101 (application/pdf)

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:igg:jeoe00:v:10:y:2021:i:4:p:1-17

Access Statistics for this article

International Journal of Energy Optimization and Engineering (IJEOE) is currently edited by Jose Marmolejo-Saucedo

More articles in International Journal of Energy Optimization and Engineering (IJEOE) from IGI Global
Bibliographic data for series maintained by Journal Editor ().