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New Methodology for Combined Cooling, Heating, and Power Systems Modeling by Modified Battle Royal Algorithm

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Abstract

Simultaneous generation of electricity and heat, i.e., combined cooling, heating, and power (CCHP) systems provide multiple forms of energy from a simple primary source. In our power generators today, burning fossil fuels and the heat generated is usually used to generate axial power and then convert it into electricity. In addition to the different advantages of the CCHP systems, proper designing of the power generation unit and the chiller capacity are assumed as two main problems in optimal designing a CCHP system. The present study proposes a new optimal methodology for designing these kinds of CCHP systems. Here, the CCHP has been simulated based on annual hourly dynamics. For optimal designing of the proposed model, a new modified version of the Modified Battle Royal algorithm has been utilized. Based on the simulation, optimal operation for primary energy saving, life cycle cost reduction, CO2 Emission Reduction (CDER) and continuous energy improvement in the power generation unit are achieved 0.2837, 0.0728, 0.1637, 0.7924. The optimized model is then performed on a building in Yingde, China. Simulation results between the proposed model and the actual data show the good confirmation to them.

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Acknowledgements

Xuchang College outstanding young backbone teachers funding project and Henan Excellent Youth Fund Project (202300410346).

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Authors and Affiliations

  1. School of Electrical and Mechanical Engineering, Xuchang University, Xuchang, 461000, Henan, China

    Luhuan Shi

  2. Department of Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran

    Homayoun Ebrahimian

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  1. Luhuan Shi
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Correspondence to Luhuan Shi.

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Shi, L., Ebrahimian, H. New Methodology for Combined Cooling, Heating, and Power Systems Modeling by Modified Battle Royal Algorithm. J. Electr. Eng. Technol. 19, 2103–2118 (2024). https://doi.org/10.1007/s42835-023-01717-3

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