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Integrating Renewable Energy Solutions in Small-Scale Industrial Facilities

Author

Listed:
  • Laila Zemite

    (Faculty of Computer Science, Information Technology and Energy, Institute of Power Engineering, Riga Technical University, 12-1 Azenes Str., LV-1048 Riga, Latvia)

  • Jevgenijs Kozadajevs

    (Faculty of Computer Science, Information Technology and Energy, Institute of Power Engineering, Riga Technical University, 12-1 Azenes Str., LV-1048 Riga, Latvia)

  • Leo Jansons

    (Faculty of Computer Science, Information Technology and Energy, Institute of Power Engineering, Riga Technical University, 12-1 Azenes Str., LV-1048 Riga, Latvia
    Faculty of Engineering Economics and Management, Riga Technical University, 6 Kalnciema Str., LV-1048 Riga, Latvia)

  • Ilmars Bode

    (Faculty of Computer Science, Information Technology and Energy, Institute of Power Engineering, Riga Technical University, 12-1 Azenes Str., LV-1048 Riga, Latvia)

  • Egils Dzelzitis

    (Faculty of Computer Science, Information Technology and Energy, Institute of Power Engineering, Riga Technical University, 12-1 Azenes Str., LV-1048 Riga, Latvia)

  • Karina Palkova

    (Faculty of Social Sciences, Riga Stradins University, 16 Dzirciema Str., LV-1007 Riga, Latvia)

Abstract

The purpose of this study was to analyze the economical suitability of numerous on-site renewable electricity generation technologies which were intended to be used in a recently built industrial facility designed and utilized as a warehouse. The facility was located in the vicinity of Riga, Latvia. Data were collected and calculations were performed within the scope of the project “Mitigating Energy Poverty through Innovative Solutions” as part of several planned activities to address the broad spectrum of energy poverty and self-reliance issues in both the residential sector and small-scale industrial facilities. During the project, evaluations of various renewable energy technologies, including PV installations, wind energy installations, battery storage solutions, and hybrid technologies, were carried out. The aim of these evaluations was to develop an electricity production–consumption model for efficient and cost-effective energy use and to reduce greenhouse gas emissions from the test facility. A model was created and subsequent research scenarios were developed based on a payback period instead of the net present value criterion. The project was carried out over several steps to develop a calculation methodology. The open access databases of energy resource providers were used to evaluate statistical data and make forecasts for the analysis of the electricity consumption of companies. MATLAB/Simulink 23/2 was used for the data analysis, and the H-TEC method was employed. This made it possible to modulate the required production capacity as the model allowed for the addition of new modules to modules already installed. The project results proved that despite high initial investment costs, renewable energy sources and efficient storage systems can provide cost-effective solutions and reduce dependence on fossil fuels in the long term.

Suggested Citation

  • Laila Zemite & Jevgenijs Kozadajevs & Leo Jansons & Ilmars Bode & Egils Dzelzitis & Karina Palkova, 2024. "Integrating Renewable Energy Solutions in Small-Scale Industrial Facilities," Energies, MDPI, vol. 17(11), pages 1-20, June.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2792-:d:1410123
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    References listed on IDEAS

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    1. Odysseas Tsafarakis & Kostas Sinapis & Wilfried G. J. H. M. Van Sark, 2018. "PV System Performance Evaluation by Clustering Production Data to Normal and Non-Normal Operation," Energies, MDPI, vol. 11(4), pages 1-19, April.
    2. Paweł Ziemba, 2023. "Selection of Photovoltaic Panels Based on Ranges of Criteria Weights and Balanced Assessment Criteria," Energies, MDPI, vol. 16(17), pages 1-18, September.
    3. Jin-Li Hu & Min-Yueh Chuang, 2023. "The Importance of Energy Prosumers for Affordable and Clean Energy Development: A Review of the Literature from the Viewpoints of Management and Policy," Energies, MDPI, vol. 16(17), pages 1-16, August.
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