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Renewable Energy Technologies for Energy Efficient Buildings: The Case of Kuwait

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  • Bader Alshuraiaan

    (Department of Mechanical Engineering, Kuwait University, Safat 13060, Kuwait)

Abstract

The purpose of this study is to identify the most relevant renewable energy technologies for buildings and to assess the effectiveness of their implementation in the long term for Kuwait. Methods of analogies and comparisons were used to determine the features of energy efficiency based on the technologies under study. The study proposes the methodological approach to assessing the effectiveness of the introduction of renewable energy technologies, determining the direction of increasing the energy efficiency of buildings and the investment efficiency of introducing these technologies. Renewable energy efficiency analysis for buildings in Kuwait confirms that solar energy systems have been the most widely available for widespread use of solar energy over the past three years. An increasing level of energy efficiency with a decrease in the notional cost of increasing energy savings is characteristic of solar collectors with booster reflectors. The proposed model for assessing the level of energy saving provides an opportunity for economic justification of introducing renewable energy technology in buildings.

Suggested Citation

  • Bader Alshuraiaan, 2021. "Renewable Energy Technologies for Energy Efficient Buildings: The Case of Kuwait," Energies, MDPI, vol. 14(15), pages 1-16, July.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4440-:d:599678
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    Cited by:

    1. Nikolaos Papadakis & Dimitrios Al. Katsaprakakis, 2023. "A Review of Energy Efficiency Interventions in Public Buildings," Energies, MDPI, vol. 16(17), pages 1-34, August.
    2. Anna Barwińska-Małajowicz & Radosław Pyrek & Krzysztof Szczotka & Jakub Szymiczek & Teresa Piecuch, 2023. "Improving the Energy Efficiency of Public Utility Buildings in Poland through Thermomodernization and Renewable Energy Sources—A Case Study," Energies, MDPI, vol. 16(10), pages 1-21, May.
    3. AlKheder, Sharaf & Almusalam, Ali, 2022. "Forecasting of carbon dioxide emissions from power plants in Kuwait using United States Environmental Protection Agency, Intergovernmental panel on climate change, and machine learning methods," Renewable Energy, Elsevier, vol. 191(C), pages 819-827.
    4. Sergio Gómez Melgar & José Manuel Andújar Márquez, 2022. "New Research Trends and Topics for Achieving Energy Efficiency in Buildings: Both New and Rehabilitated," Energies, MDPI, vol. 15(3), pages 1-2, January.

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