Increasing the efficiency of electricity use by residential and public buildings in the presence of hybrid solar power plants in the electricity market

Authors

  • V. Lytvyn National University of Life and Environmental Sciences of Ukraine image/svg+xml

DOI:

https://doi.org/10.31548/

Abstract

The article is devoted to the analysis of electricity consumption schedules of public and residential buildings and the operation and optimization of the operation of rooftop hybrid solar power plants. The wide distribution of hybrid solar inverters, due to both the desire to reduce energy consumption costs and the need to provide backup power to critical consumers, created prerequisites for using the advantages of the electricity market. Storage and the possibility of interchangeability of energy sources (for example, district heating and electricity supply for heating and hot water supply) allows us to talk about buildings in the context of "active consumers". The developed standard schedules of electricity consumption by buildings allow optimizing the use of their own solar power plant to minimize the cost of electricity supply, taking into account the possibility of storage systems and the possibility of using surplus solar generation for heating, air conditioning and hot water supply. The simulation of the solar power plant operating modes in the following options: "consumption for own needs without optimizing the use of storage systems", "sale of surplus electricity on the market", "consumption for own needs with optimization of storage systems" indicates the possibility of reducing the cost of energy consumption of the facility by 30-40% depending on the daily solar insolation. The use of the model allows you to configure the operating modes of hybrid inverters to optimize energy consumption. It is advisable to focus further research on the creation of an alternative control system for inverters with optimization depending on the load profile of the building.

Key words: hybrid power supply, energy consumption modeling, cost optimization, demand side

 

References

1. Aheieva, T. P. (2002). Metodychni osnovy otsinky enerhozberezhennia ta prohnozuvannia enerhospozhyvannia v sferi zhytlovoho ta komunalno-pobutovoho obsluhovuvannia naselennia Ukrainy [Methodological foundations for assessing energy conservation and forecasting energy consumption in the residential and communal services sector in Ukraine] : avtoref. dys. kand. tekhn. nauk : 05.14.01 / In-t zah. enerhetyky NAN Ukrainy. Kyiv, 20. Available at: http://www.irbis-nbuv.gov.ua/aref/20081124022267

2. Hrebchenko, M. (2023). Systemy elektropostachannia z lokalnymy dzherelamy enerhii ta keruvannia nymy [Power supply systems with local energy sources and their control]. Kyiv : Nats. tekhn. un-t Ukrainy «Kyiv. politekhn. in-t im. Ihoria Sikorskoho», 78. Available at: https://ela.kpi.ua/server/api/core/bitstreams/41e81896-4f4e-4106-96d7-711fa381e244/content

3. Ackermann, T., Andersson, G., Söder, L. Electric Power Systems Research. 3rd ed. Sweden: Department of Electric Power Engineering, Royal Institute of Technology, Electric Power Systems, Teknikringen 33, 10044 Stockholm, 2001. Vol. 57: Distributed generation: a definition, 194-204. Available at:: https://www.sciencedirect.com/science/article/abs/pii/S0378779601001018

4. M. S. Bakare et al. A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction. Available at:: https://energyinformatics.springeropen.com/articles/10.1186/s42162-023-00262-7

5. Kaplun, V., Osypenko, V., Makarevych, S. (2022). Forecasting the electricity pricing of energy islands with renewable sources. Machinery & Energetics, 13(4), 38-47.

6. Kaplun, V. V., Kravchenko, O. P., Vasylenko, V. V. (2015). Analiz metodiv optymizatsii mikroenerhetychnykh system (microgrid) na osnovi dzherel rozpodilenoi heneratsii [Analysis of methods for optimising microgrids based on distributed generation sources]. Visnyk KNUTD, 2 (84).

7. KABINET MINISTRIV UKRAINY. Kontseptsiia Vprovadzhennia “rozumnykh merezh” v Ukraini do 2035 roku. [Concept for the Implementation of Smart Grids in Ukraine by 2035]. Available at: https://zakon.rada.gov.ua/laws/show/908-2022-р#Text.

8. Kiianchuk, V. M., Makhotilo, K. V. Uchast pobutovykh spozhyvachiv na enerhetychnykh rynkakh cherez keruvannia popytom [Participation of domestic consumers in energy markets through demand management]. https://repository.kpi.kharkov.ua/server/api/core/bitstreams/c84e34e8-9332-464d-8290-08663c229d04.

9. Panasiuk, M., Zamulko, A. I. Osoblyvosti provedennia analizu nerivnomirnosti spozhyvannia elektroenerhii [Features of analysing uneven electricity consumption]. Available at: https://en.iee.kpi.ua/files/2012/153-165.pdf.

10. A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosis. Available at: https://www.sciencedirect.com/science/article/abs/pii/S2352710220310627

11. Ackermann, T., Andersson, G., Söder, L. (2001). Electric Power Systems Research. 3rd ed. Sweden: Department of Electric Power Engineering, Royal Institute of Technology, Electric Power Systems, Teknikringen 33, 10044 Stockholm, 57: Distributed generation: a definition, 194-204.

URL: https://www.sciencedirect.com/science/article/abs/pii/S0378779601001018.

12. Bakare, M. S. et al. A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction. Available at:: https://energyinformatics.springeropen.com/articles/10.1186/s42162-023-00262-7

Published

2025-09-08

Issue

Section

Статті