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    Solar Technology and District Cooling System in a Hot Climate Regions: Optimal Configuration and Technology Selection

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    energies-15-02657.pdf (3.111Mb)
    Date
    2022
    Author
    Ismaen, Rabah
    ElMekkawy, Tarek Y.
    Pokharel, Shaligram
    Elomri, Adel
    Al-Salem, Mohammed
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    Abstract
    With the increasing need for cooling and the concerns for pollution due to fossil fuel-based energy use, renewable energy is considered an add-on to cooling technologies. The climatic condition in the Middle East, analyzed in this paper, provides the potential to integrate solar energy with the cooling system. Due to the availability of various solar energy and cooling technologies, multiple configurations of solar-cooling systems can be considered to satisfy the cooling demand. The research presented in this paper aims to assess and compare these configurations by considering the energy prices and the installation area. The proposed model is formulated in Mixed-Integer Linear Programming and optimizes the holistic system design and operation. The economic, renewable energy use, and environmental performances of the optimal solution for each configuration are analyzed and compared to the base grid-DCS configuration. Results show that the electricity tariff and the available installation area impact the economic competitiveness of the solar energy integration. When electricity tariff is subsided (low), the conventional grid-based DCS is the most competitive. The PV-DCS configuration is economically competitive among the solar assisted cooling systems, and it can contribute to reducing the environmental impact by 58.3%. The PVT-DCS configuration has the lowest operation cost and the highest environmental performance by decreasing the global warming potential by 89.5%. The T-DCS configuration becomes economically competitive only at high electricity tariffs. 2022 by the authors. Licensee MDPI, Basel, Switzerland.
    DOI/handle
    http://dx.doi.org/10.3390/en15072657
    http://hdl.handle.net/10576/36695
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    • Mechanical & Industrial Engineering [‎1472‎ items ]

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