Creation of a distributed energy system for the production of thermal and electric energy

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.318785

Keywords:

cogeneration distributed generation, renewable energy sources, off-grid energy, biogas, electrical and thermal energy

Abstract

The object of the study is the distributed generation (DG) system for remote areas where extending power lines is challenging or impossible. The study demonstrates how integrating electrical and thermal energy modules based on renewable energy sources (RES) into a common DG bus can ensure continuous energy supply. This approach provides both heat and electricity to consumers, independent of weather conditions an advantage over traditional systems reliant on variable sources like wind and solar energy. Numerical assessments suggest that the proposed system can improve local renewable resource utilization by approximately 20–30 % compared to single-source renewable setups. This enhanced efficiency results in a more stable power output, with fewer interruptions caused by low wind speeds or reduced solar irradiance. Economically, reducing dependence on diesel generators by about 15–25 % can translate into substantial fuel cost savings. In addition, shifting energy production away from non-renewable sources may cut greenhouse gas emissions by an estimated 10–20 %, contributing to environmental protection targets. In this research received lies in its solution for off-grid energy delivery in rural areas, which generally rely on expensive and frequently unreliable centralized energy infrastructure. By leveraging renewable energy sources and implementing a cogenerative DG system, the study significantly reduces reliance on traditional energy grids and enhances energy independence for remote facilities. The research highlights the practical value of the proposed solution, particularly for rural areas far from power lines and with limited access to traditional electricity systems. The suggested system not only provides continuous energy, but it also coincides with worldwide trends toward sustainable and decentralized energy solutions

Author Biographies

Nassim Rustamov, Khoja Akhmet Yassawi International Kazakh-Turkish University

Doctor of Technical Sciences, Senior Lecturer

Department of Electrical Engineering

Kamalbek Berkimbayev, Khoja Akhmet Yassawi International Kazakh-Turkish University

Doctor of Pedagogical Sciences, Professor

Department of Computer Engineering

Zagipa Abdikulova, Khoja Akhmet Yassawi International Kazakh-Turkish University

Acting Associate Professor

Department of Electrical Engineering

Oxana Meirbekova, Khoja Akhmet Yassawi International Kazakh-Turkish University

Senior Lecturer

Department of Electrical Engineering

Zhanibek Issabekov, Abay Myrzakhmetov Kokshetau University

PhD, Vice-Rector for Innovation

Shokhrukh Babakhan, Khoja Akhmet Yassawi International Kazakh-Turkish University

Senior Lecturer

Department of Electrical Engineering

Perizat Rakhmetova, Satbayev University

PhD Candidate, Senior Lecturer

Department of Robotics and Technical Means of Automation

References

  1. Fu, X., Wei, Z., Sun, H., Zhang, Y. (2024). Agri-Energy-Environment Synergy-Based Distributed Energy Planning in Rural Areas. IEEE Transactions on Smart Grid, 15 (4), 3722–3738. https://doi.org/10.1109/tsg.2024.3364182
  2. Rustamov, N., Babakhan, S., Genc, N., Kibishov, A., Meirbekova, O. (2023). An Improved Hybrid Wind Power Plant for Small Power Generation. International Journal of Renewable Energy Research, 13 (2). https://doi.org/10.20508/ijrer.v13i2.14193.g8735
  3. Rustamov, N., Meirbekova, O., Kibishov, А., Babakhan, S., Berguzinov, А. (2022). Creation of a hybrid power plant operating on the basis of a gas turbine engine. Eastern-European Journal of Enterprise Technologies, 2 (8 (116)), 29–37. https://doi.org/10.15587/1729-4061.2022.255451
  4. Zhou, Y., Wang, J., Xu, H., Yang, M., Liu, W. (2024). Improving full-chain process synergy of multi-energy complementary distributed energy system in cascade storage and initiative management strategies. Energy Conversion and Management, 322, 119120. https://doi.org/10.1016/j.enconman.2024.119120
  5. Tahir, M. F., Haoyong, C., Mehmood, K., Ali, N., Bhutto, J. A. (2019). Integrated Energy System Modeling of China for 2020 by Incorporating Demand Response, Heat Pump and Thermal Storage. IEEE Access, 7, 40095–40108. https://doi.org/10.1109/access.2019.2905684
  6. Li, C., Yang, H., Shahidehpour, M., Xu, Z., Zhou, B., Cao, Y., Zeng, L. (2020). Optimal Planning of Islanded Integrated Energy System With Solar-Biogas Energy Supply. IEEE Transactions on Sustainable Energy, 11 (4), 2437–2448. https://doi.org/10.1109/tste.2019.2958562
  7. Giordano, A., Mastroianni, C., Menniti, D., Pinnarelli, A., Scarcello, L., Sorrentino, N. (2021). A Two-Stage Approach for Efficient Power Sharing Within Energy Districts. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51 (3), 1679–1689. https://doi.org/10.1109/tsmc.2019.2902077
  8. Nadeem, F., Hussain, S. M. S., Tiwari, P. K., Goswami, A. K., Ustun, T. S. (2019). Comparative Review of Energy Storage Systems, Their Roles, and Impacts on Future Power Systems. IEEE Access, 7, 4555–4585. https://doi.org/10.1109/access.2018.2888497
  9. Zhang, Y., Yuan, F., Zhai, H., Song, C., Poursoleiman, R. (2023). RETRACTED: Optimizing the planning of distributed generation resources and storages in the virtual power plant, considering load uncertainty. Journal of Cleaner Production, 387, 135868. https://doi.org/10.1016/j.jclepro.2023.135868
  10. Niknam, T., Kavousi-Fard, A., Ostadi, A. (2015). Impact of Hydrogen Production and Thermal Energy Recovery of PEMFCPPs on Optimal Management of Renewable Microgrids. IEEE Transactions on Industrial Informatics, 11 (5), 1190–1197. https://doi.org/10.1109/tii.2015.2475715
  11. Ariwoola, R., Kamalasadan, S. (2023). An Integrated Hybrid Thermal Dynamics Model and Energy Aware Optimization Framework for Grid-Interactive Residential Building Management. IEEE Transactions on Industry Applications, 59 (2), 2519–2531. https://doi.org/10.1109/tia.2022.3224689
  12. Tian, Z., Li, X., Niu, J., Zhou, R., Li, F. (2024). Enhancing operation flexibility of distributed energy systems: A flexible multi-objective optimization planning method considering long-term and temporary objectives. Energy, 288, 129612. https://doi.org/10.1016/j.energy.2023.129612
  13. Xie, H., Ahmad, T., Zhang, D., Goh, H. H., Wu, T. (2024). Community-based virtual power plants’ technology and circular economy models in the energy sector: A Techno-economy study. Renewable and Sustainable Energy Reviews, 192, 114189. https://doi.org/10.1016/j.rser.2023.114189
  14. Evro, S., Oni, B. A., Tomomewo, O. S. (2024). Carbon neutrality and hydrogen energy systems. International Journal of Hydrogen Energy, 78, 1449–1467. https://doi.org/10.1016/j.ijhydene.2024.06.407
  15. Zheng, Z., Shafique, M., Luo, X., Wang, S. (2024). A systematic review towards integrative energy management of smart grids and urban energy systems. Renewable and Sustainable Energy Reviews, 189, 114023. https://doi.org/10.1016/j.rser.2023.114023
  16. Rustamov, N. T., Mejrbekov, A. T., Meirbekova, D. (2022). Pat. No. 29833 RK. Method of all-season power supply to a greenhouse from an alternative energy source. publ.: 04.01.2022.
  17. Karbowa, K., Wnukowska, B., Czosnyka, M. (2019). Computer Aided Selection Of Power Generation unit In The Cogeneration Process. 2019 Progress in Applied Electrical Engineering (PAEE), 1–7. https://doi.org/10.1109/paee.2019.8788998
  18. Dyussebayev, I. M., Issabekov, Zh., Tulegulov, A. D., Yergaliyev, D. S., Bazhaev, N. A., Kaipova, A. A. (2022). Methodological basis for the application of wind generators in geology. Series Of Geology And Technical Sciences, 5 (455), 63–78. https://doi.org/10.32014/2518-170x.218
  19. Rustamov, N. T., Meirbekov, A. T., Avezova, N. R., Meirbekova, O. D., Babakhan, Sh. A. (2022). Pat. No. 7970 RK. Hybrid system for generating thermal and electrical energy. publ.: 24.11.2022.
  20. Diaz-Cachinero, P., Munoz-Hernandez, J. I., Contreras, J. (2018). A Linear Model for Operating Microgrids with Renewable Resources, Battery Degradation Costs and Electric Vehicles. 2018 15th International Conference on the European Energy Market (EEM), 1–5. https://doi.org/10.1109/eem.2018.8469868
  21. Bramm, A. M., Matrenin, P. V., Papkova, N. A., Sekatski, D. A. (2024). Capacity Factor Forecasting for Generation Facilities Based on Renewable Energy Sources in Decentralized Power Systems. ENERGETIKA. Proceedings of CIS Higher Education Institutions and Power Engineering Associations, 67 (5), 411–424. https://doi.org/10.21122/1029-7448-2024-67-5-411-424
  22. Sultanov, M. M., Arakelyan, E. K., Boldyrev, I. A., Lunenko, V. S., Menshikov, P. D. (2021). Digital twins application in control systems for distributed generation of heat and electric energy. Archives of Thermodynamics, 42 (2), 89–101. https://doi.org/10.24425/ather.2021.137555
  23. Boghdady, T., Sweed, I. A., Ibrahim, D. K. (2023). Performance Enhancement of Doubly-Fed Induction Generator-Based-Wind Energy System. International Journal of Renewable Energy Research, 13 (1). https://doi.org/10.20508/ijrer.v13i1.13649.g8685
Creation of a distributed energy system for the production of thermal and electric energy

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Published

2024-12-30

How to Cite

Rustamov, N., Berkimbayev, K., Abdikulova, Z., Meirbekova, O., Issabekov, Z., Babakhan, S., & Rakhmetova, P. (2024). Creation of a distributed energy system for the production of thermal and electric energy. Eastern-European Journal of Enterprise Technologies, 6(8 (132), 6–15. https://doi.org/10.15587/1729-4061.2024.318785

Issue

Vol. 6 No. 8 (132) (2024): Energy-saving technologies and equipment

Section

Energy-saving technologies and equipment

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Copyright (c) 2024 Nassim Rustamov, Kamalbek Berkimbayev, Zagipa Abdikulova, Oxana Meirbekova, Zhanibek Issabekov, Shokhrukh Babakhan, Perizat Rakhmetova

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