Skip to main content

Optimizing the Technological Efficiency of Hybrid Photovoltaic Systems to Fulfill the Energy Requirements of Emergency Shelters for Refugees of the Ukrainian War

  • Conference paper
  • First Online:
Renewable Energy, Green Computing, and Sustainable Development (REGS 2023)

Abstract

Hybrid photovoltaic systems have become a common solution for reducing energy consumption in specific objects and for customers in the present time. The efficiency of the entire system also depends on the technology of the battery inverter used. Generally, DC coupled inverters are known to be more energy efficient. However, in certain cases, AC coupled systems can provide better results. The ongoing aggression by Russia against Ukraine has escalated the problem of internal migration, which can only be solved by constructing new communities of emergency shelters. The integration of these units into the overloaded and damaged distribution grids in Ukraine must be carefully planned to limit power consumption and injection. Significant savings can be achieved by properly applying AC or DC coupled systems.

This article discusses this phenomenon based on specific real cases that are defined by consumption profiles, battery storage system management, climate conditions, and PV system design. Simulations presented in the article demonstrate the expected annual energy flows for both technologies in a model situation. The differences between DC coupling and AC coupling solutions are explained through in-depth analyses of inverter behavior, battery behavior, charging strategies, charging losses, discharging losses, state of charge (SOC), cycle load, and the correlation between own consumption and inverter self-consumption. The results show that choosing the right battery inverter technology can lead to significant energy savings from the installed PV system. In certain cases, AC coupled systems not only offer higher flexibility and modularity but also higher energy efficiency for the hybrid system, lower grid feed-in, and better economic profitability.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. IEA: Renewable electricity generation by region and scenario 2018–2040 (2021)

    Google Scholar 

  2. Rubanenko, O.: Energy consumption optimisation of emergency shelters for Ukrainian war refugees. In: Renew. Energy Power Qual. J. (2022)

    Google Scholar 

  3. Belik, M., Rubanenko, O.: Degradation of monocrystalline PV panels differences between Ukrainian and Czech conditions. In: Proceedings of the 11th International Scientific Symposium ELEKTROENERGETIKA 2022, pp. 38–42 (2022)

    Google Scholar 

  4. Hasanpor, P., et al.: Optimum operation of battery storage system in frequency containment reserves markets. In: IEEE Trans. vol. 11, pp. 4906–4915 (2020)

    Google Scholar 

  5. Kazmiur, O., et al.: Determination of optimal transformation ratios of power system transformers in conditions of incomplete information regarding the values of diagnostic parameters. In: Eastern-European Journal of Enterprise Technologies (2017)

    Google Scholar 

  6. Belik, M.: Optimisation of energy accumulation for renewable energy sources. Renew. Energy Power Qual. J. 19, 205–210 (2021)

    Google Scholar 

  7. Belik, M., Rubanenko, O.: Implementation of digital twin for increasing efficiency of renewable energy sources. Energies 16(12) (2023). https://doi.org/10.3390/en16124787

  8. Dashtdar, M., et al.: Protection of DC microgrids based on differential protection method by fuzzy systems. In: 2021 IEEE 2nd KhPI Week on Advanced Technology, KhPI Week 2021 - Conference Proceedings (2021)

    Google Scholar 

  9. Lezhnyuk, P., et a.: Information support for the task of estimation the quality of functioning of the electricity distribution power grids with renewable energy source. In: 2020 IEEE 7th International Conference on Energy Smart Systems, ESS 2020 (2020)

    Google Scholar 

  10. Belik, M.: Weather dependent mathematical model of photovoltaic panels. In: Renew. Energy Power Qual. J. (2017)

    Google Scholar 

  11. Komar, V., et al.: Determination of similarity criteria in optimization tasks by means of neuro-fuzzy modelling. In: Przeglad Elektrotechniczny, vol. 93 (2017)

    Google Scholar 

  12. Yanovych, V., et al.: Analysis of instability generation of Photovoltaic power station. In: 2020 IEEE 7th International Conference on Energy Smart Systems, ESS 2020 – Proceedings (2020)

    Google Scholar 

  13. Belik, M.: Simulation of photovoltaic Panels thermal features. In: Proceedings of the 18th International Scientific Conference on Electric Power Engineering, EPE 2017 (2017)

    Google Scholar 

  14. Hunko, I., et al.: Influence of solar power plants on 0.4 kV consumers. In: 2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 – Proceedings (2019)

    Google Scholar 

Download references

Acknowledgement

Paper supported by MSCA4Ukraine ID 1233365, 23-PKVV-011, 23-PKVV-UM-11.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Lakshmi Swarupa .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Belik, M., Rubanenko, O., Lakshmi, G.S., Swarupa, M.L. (2024). Optimizing the Technological Efficiency of Hybrid Photovoltaic Systems to Fulfill the Energy Requirements of Emergency Shelters for Refugees of the Ukrainian War. In: Gundebommu, S.L., Sadasivuni, L., Malladi, L.S. (eds) Renewable Energy, Green Computing, and Sustainable Development. REGS 2023. Communications in Computer and Information Science, vol 2081. Springer, Cham. https://doi.org/10.1007/978-3-031-58607-1_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-58607-1_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-58606-4

  • Online ISBN: 978-3-031-58607-1

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics