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The model of decision-making in selecting the optimal configuration of the hybrid renewable energy systems

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The purpose of this study is twofold: first, it is aimed at determining the architecture, energy balance of the system and the operational logic of the requests for energy use. Second, a defining a methodology that can help energy planners in the choice of the more appropriate alternatives of hybrid renewable energy system. Based on energy balance and operational logic within HRESs is proposed to conduct optimization research within socio-economic and energy efficiency scenarios. This research is proposed to use within DSS that can support the decision makers in selecting criteria, alternatives and trade-offs, thus making the energy planning simple. The methodology is divided in 3 steps: The selection of system structure in general, the determination of parameters of the system elements in all possible variants, and finally the estimation of efficiency and choosing the optimal variant of the system. For each alternatives is calculated the utility function within scenarios.
Rocznik
Strony
5--20
Opis fizyczny
Bibliogr. 12 poz.
Twórcy
autor
  • Sumy State University, Sumy, Ukraine
autor
  • Sumy State University, Sumy, Ukraine
autor
  • Institute of Mathematics and Informatics, Vilnius, Lithuania
Bibliografia
  • 1. Ai B., Yang H., Shen H., Liao X.: Computer-aided design of PV/wind hybrid system. Renewable Energy 28, no. 10 (2003), 1491–1512.
  • 2. Angelis-Dimakis A., Biberacher M., Dominguez J., Fiorese G., Gadocha S., Gnansounou E., Robba M.: Methods and tools to evaluate the availability of renewable energy sources. Renew. Sustain. Energy Rev. 15, no. 2 (2011), 1182–1200.
  • 3. Beccali M., Cellura M., Mistretta M.: Decision-making in energy planning. Application of the Electre method at regional level for the diffusion of renewable energy technology. Renewable Energy 28, no. 13 (2003), 2063–2087.
  • 4. Belfkira R., Zhang L., Barakat G.: Optimal sizing study of hybrid wind/PV/ diesel power generation unit. Sol. Energy 85, no. 1 (2011), 100–110.
  • 5. Bilal B.O., Sambou V., Kébé C.M.F., Ndiaye P.A., Ndongo M: Methodology to size an optimal stand-alone PV/wind/diesel/battery system minimizing the levelized cost of energy and the CO2 emission. Energy Procedia 14 (2012), 1636–1647.
  • 6. Hoogwijk M., Graus W.: Global potential of renewable energy sources: a literature assessments. Background Report PECSNL072975. By order of REN21 – Renewable Energy Policy Network for the 21st Century.
  • 7. Kaabeche A., Belhamel M., Ibtiouen R.: Techno-economic valuation and optimization of integrated photovoltaic/wind energy conversion systems. Sol. Energy 85, no. 10 (2011), 2407–2420.
  • 8. Koutroulis E., Kolokotsa D., Potirakis A., Kalaitzakis K.: Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms. Sol. Energy 80, no. 9 (2006), 1072–1088.
  • 9. Parida B., Iniyan S., Goic R.: A review of solar photovoltaic technologies. Renew. Sustain. Energy Rev. 15, no. 3 (2011), 1625–1636.
  • 10. Shendryk V., Shulyma O., Parfenenko Y.: The Topicality and the peculiarities of the renewable energy sources inte-gration into the Ukrainian power grids and the heating system. Promoting Sustainable Practices through Energy Engineering and Asset Management, V. González-Prida, A. Raman (eds.). Engineering Science Reference, Hershey 2015, 162–192.
  • 11. Shulyma O., Davidsson P., Shendryk V., Marchenko A.: The architecture of an information system for the management of hybrid energy grid. Ann. Comput. Sci. Inform. Syst. 6 (2015), 281–288.
  • 12. Sumyoblenergo, https://www.soe.com.ua/.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b88574d0-2c1f-4614-be25-0cb5b0f2c9c7
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