Electric vehicles as the best energy storage solution for unpredictable household renewable energy sources

• Autorzy: Charvinski Viachaslau , Kostuchevich Helene
• Języki publikacji: EN

Abstrakty

EN

One of the main problems of renewable energy source - RES (such as wind or sun) is their unpredictability. Cooperation of such sources with energy storage has a very positive effect on the correct use of renewable sources. One of the ideas for home energy is storage of energy in the batteries of electric vehicles engines (V2H). The purpose of this work is to analyze electricity losses and power system performance depending on the shape of the load schedule. The work includes identifying the dependence of the required degree of load balancing on the shape factor of the load curve, heating factor and energy losses. In anailed cases, it was shown that the best solution for a single-family house with a passenger car used for everyday needs would be a wind turbine with a diameter of 6 [m]. The battery capacity that would have to work with this system was estimated at 542 [Ah].

Słowa kluczowe

EN

renewable energy sources; vehicle to home; V2H; charging; household demand profile; energy storage

• Wydawca: Centrum Rzeczoznawstwa Budowlanego Sp. z o.o.
• Czasopismo: Modern Engineering
• Rocznik: 2020
• Tom: 1
• Strony: 1--5
• Opis fizyczny: Bibliogr. 12 poz., rys.

Twórcy

autor

Charvinski Viachaslau

• Belarusian National Technical University, Belarus

autor

Kostuchevich Helene

• Institute of Integrated forms of education and monitoring, Belarusian National Technical University, Belarus

Bibliografia

• 1. Bi, Y., Zang, G., Qin, L., Li, H. & Wang, H. Study on the characteristics of charging/discharging processes in three-phase energy storage coupling in solar air conditioning system. Energy and Buildings 204, 109456. issn: 0378-7788 (2019).
• 2. Charvinski, V., Kostukevich, H. & Rusowicz, A. Possibility of the electric vehicle-to-home charging using renewable energy sources. Rynek Energii 146, 76–78 (1 2020).
• 3. Eshkabilov, S. Beginning MATLAB and Simulink: From Novice to Professional. (2019).
• 4. Gilat, A. MatLab. An Introduction with Application 6th ed. (Wiley, 2017).
• 5. Grzebielec, A., Rusowicz, A., Jaworski, M. & Laskowski, R. Possibility of using adsorption refrigeration unit in district heating network. Archives of Thermodynamics 36,15–24 (3 2015).
• 6. Han, X. et al. Weather index insurance for wind energy. Global Energy Interconnection 2, 541 –548. issn: 2096-5117 (2019).
• 7. Laskowski, R. Relations for steam power plant condenser performance in off-design conditions in the function of inlet parameters and those relevant in reference conditions. Applied Thermal Engineering 103, 528–536 (2016).
• 8. Liu, Y., Wu, X., Du, J., Song, Z. & Wu, G. Optimal sizing of a wind-energy storage system considering battery life. Renewable Energy 147, 2470 –2483. issn: 0960-1481 (2020).
• 9. Ruciński, A. Energochłonność systemów wytwarzania chłodu w obiektach hotelowych. Inżynieria Bezpieczeństwa Obiektów Antropogenicznych. issn: 2450-1859 (3 2019).
• 10. Ruciński, A. & Rusowicz, A. Thermoelectric generation of current - theoretical and experimental analysis. Archives of Thermodynamics 38, 3–13 (4 2017).
• 11. Stropnik, R., Koželj, R., Zavrl, E. & Stritih, U. Improved thermal energy storage for nearly zero energy buildings with PCM integration. Solar Energy 190, 420 –426. issn: 0038-092X (2019).
• 12. Yukita, K., Kobayashi, Y., Duy-Dinh, N., Matsumura, T. & Goto, Y. Suppression of PV output fluctuation using EV in a electric power system. IFAC-PapersOnLine 52. IFAC Workshop on Control of Smart Grid and Renewable Energy Systems CSGRES 2019, 93 –98. issn: 2405-8963 (2019).

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).