Development of renewable energy using accumulative technologies

Shulzhenko S.V., Cand. Sci. (Eng.), Radchenko О.L., Cand. Sci. (Eng.)
Institute of General Energy of the National Academy of Sciences of Ukraine, 172 Antonovycha St., Kyiv, 03680, Ukraine
Language: Ukrainian, English
Source: Problemy zahal`noi enerhetyky - The Problems of General Energy, 2015, 4(43):31-43
https://doi.org/10.15407/pge2015.04.031
Section: Optimization of the development and management of the functioning of energy systems
UDC: 621.311.001.57
Received: 20.11.2015
Published: 03.12.2015
Abstract: A mathematical model for determining the cost of Electric energy supply by different types of storage systems is proposed. This is relevant in accordance with the goal No. 7 – "to ensure stability and reliability of financial and accessible, modern forms of energy", and which implementation is provided by Sustainable human development until 2030. The calculations of the energy supply cost by different types of storage systems allow to conclude that in future with decreasing the specific investment in installed capacity and increasing the coefficient of its use of hybrid systems, photovoltaic or wind power farms along with the storage systems will become competitive in terms of supplied electricity cost compared with traditional coal-fired power plant. The proposed modeling method of hybrid systems allows to take into account the peculiarities within the power grid in more general models of energy development.
Key words: mathematical model, renewable energy resources, power accumulation, electricity grid.
References:
1. Goal 7 “Ensure access to affordable, reliable, sustainable and modern energy for all” Retrieved from https://sustainabledevelopment.un.org/sdg7 [in English].
2. Swisher, J., Jannuzzi, G., & Redlinger, R. (1997). Integrated Resource Planning. UNEP & RISO National Laboratory, Denmark, June 1997 [in English].
3. Short, W., Packey, D., & Holt, T. (1995). A Manual for Economic Evaluation of Energy Efficiency and Renewable Energy Technologies. National Renewable Energy Laboratory, U.S. Department of Energy Managed by Midwest Research Institute [in English]. https://doi.org/10.2172/35391
4. Shulzhenko, S.V. (2008). Osoblyvosti rozrakhunku vartisnykh pokaznykiv u zadachakh prognozuvannia rozvytku elektroenergetychnych system za rynkovykh umov ich funktsionuvannia [Estimation of cost indicators for the task of electrical power system development forecast under the market liberalization conditions]. Problemy zahal`noi enerhetyky - The Problems of General Energy, 1(18), 16-20 [in Ukrainian].
5. Kulyk, M.M. (2014). Spivstavnyi analiz tekhniko-ekonomichnykh kharakteristyk Kanivskoi HAES ta kompleksu spozhivachiv-reguliatoriv dlia pokryttia grafikiv elektrychnykh navantazhen [Comparative Analysis of Technical and Economic Features of Kaniv PSPS and a Suite of Load-Controlled Consumers for Following Electrical Load Curves]. Problemy zahal`noi enerhetyky - The Problems of General Energy, 39, 5-10 [in Ukrainian].
6. Development of a 270 Megawatt Compressed Air Energy Storage Project in Midwest Independent System Operator. Retrieved from http://www.sandia.gov/ess/publications/120388.pdf [in English].
7. Tesla Energy. Retrieved from https://www.teslamotors.com/presskit/teslaenergy [in English].
8. LAZARD'S LEVELIZED COST OF ENERGY ANALYSIS — VERSION 8.0 Retrieved from https://www.lazard.com/media/1777/levelized_cost_of_energy_-_version_80.pdf [in English].
9. LAZARD'S LEVELIZED COST OF ENERGY ANALYSIS — VERSION 9.0 Retrieved fromhttps://www.lazard.com/media/2390/lazards-levelized-cost-of-energy-analysis-90.pdf [in English].