Autors: Guliashki, V.G., Marinova, G. I., Groumpos, P.P.
Title: Multi-objective optimization approach for energy efficiency in microgrids
Keywords: Bi-criterion optimizations, Construction manager, Decision m

Abstract: The aim of this article is to present a methodology and an approach for energy efficiency optimization for buildings, connected in microgrids. The initial investment costs for the building and the energy costs are optimized while the environmental pollution is minimized at the same time. A bi-criterion optimization problem is formulated. It is solved by a multi-objective genetic algorithm in MATLAB. The possibilities of the approach are illustrated by the optimization of the energy efficiency of a group of three-storey houses connected in a microgrid. The obtained results demonstrate that the proposed approach could be implemented for different real problems concerning the buildings energy efficiency and may be helpful for construction managers, architects and decision makers in this area

References

    Issue

    IFAC-PapersOnLine Open Access. 19th IFAC Conference on Technology, Culture and International Stability, TECIS 2019; Sozopol; Bulgaria; 26 September 2019 through 28 September 2019, vol. 52, issue 25, pp. 477-482, 2019, Bulgaria, Elsevier B.V., DOI 10.1016/j.ifacol.2019.12.587

    Copyright IF AC (International Federation of Automatic Control) Hosting by Elsevier Ltd.

    Цитирания (Citation/s):
    1. Borissova D., Cvetkova P., Garvanov I., Garvanova M. (2020) A Framework of Business Intelligence System for Decision Making in Efficiency Management. In: Saeed K., Dvorský J. (eds) Computer Information Systems and Industrial Management. CISIM 2020. Lecture Notes in Computer Science, vol 12133. Springer, Cham. https://doi.org/10.1007/978-3-030-47679-3_10 - 2020 - в издания, индексирани в Scopus и/или Web of Science
    2. Ibrahim, I.M., Omran, W.A., Abdelaziz, A.Y., Optimal Sizing of Microgrid System Using Hybrid Firefly and Particle Swarm Optimization Algorithm, 22nd International Middle East Power Systems Conference, MEPCON 2021 - Proceedings pp. 287-293, ISBN 978-166541998-7 DOI 10.1109/MEPCON50283.2021.9686271 - 2021 - в издания, индексирани в Scopus и/или Web of Science
    3. Javor, D., Raicevic, N., Klimenta, D., Janjic, A., Multi-Criteria Optimization of Vehicle-to-Grid Service to Minimize Battery Degradation and Electricity Costs, Elektronika ir Elektrotechnika 28(3), pp. 24-29, ISSN 13921215 DOI 10.5755/j02.eie.31238 - 2022 - в издания, индексирани в Scopus и/или Web of Science
    4. Borissova, D., Dimitrova, Z., Dimitrov, V., Assessing of Energy Consumption Balance Index Formed by Various Combinations of Conventional and Renewable Sources, Proceedings - 2022 IEEE Sustainable Power and Energy Conference, iSPEC 2022, ISBN 978-166548522-7 DOI 10.1109/iSPEC54162.2022.10033014 - 2022 - в издания, индексирани в Scopus и/или Web of Science
    5. Mohammadi, Y., Shakouri G．, H., Kazemi, A., A Multi-Objective Fuzzy Optimization Model for Electricity Generation and Consumption Management in a Micro Smart Grid, Sustainable Cities and Society 86,104119, ISSN 22106707 DOI 10.1016/j.scs.2022.104119 - 2022 - в издания, индексирани в Scopus и/или Web of Science

    Вид: пленарен доклад в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus