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Optimal chiller loading based on flower pollination algorithm for energy saving
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DOI：10.1016/j.jobe.2024.109884.png)
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Abstract
En 中文
Aiming to introduce a novel and alternative algorithm for optimal chiller loading (OCL) in multichiller systems, which can reduce energy wastage and enhance the applicability of OCL solutions in practical scenarios. This study novelly examines the efficacy of the Flower Pollination Algorithm (FPA) in addressing the OCL problem within multi-chiller systems. It contrasts FPA with six existing algorithms across three classic cases. Additionally, three variants of the Improved Flower Pollination Algorithm (IFPA) are devised through iterative parameter adjustments, comprehensively evaluating their impact on the robustness and convergence of FPA for OCL problem resolution. Furthermore, detailed discussions are provided on the application process and methodology of FPA in real-world scenarios. The results reveal the robust capability of FPA in solving OCL problem, both FPA and IFPA successfully attain the optimal value across all working conditions. In three cases, compared to GA and PSO, the maximum energy saving achieved are 23.97 % and 2.64 %, respectively. Besides, the two proposed improved strategies enhance the robustness of the FPA but inevitably decrease its convergence speed. IFPA, utilizing both improved strategies simultaneously, exhibits the most significant improvement in robustness. Therefore, in situations requiring higher robustness, even with a slightly reduced convergence rate, IFPA is recommended. The approach outlined for solving the OCL problem is valuable for promoting energy savings in the control of multi-chiller systems.
Keywords:
Multi-chiller systems
Optimal chiller loading
Flower pollination algorithm
Improved strategy
Energy conservation
Journal
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1.6W
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6.6W