energies Article Power Substation Construction and Ventilation System Co-Designed Using Particle Swarm Optimization Jau-Woei Perng 1, Yi-Chang Kuo 1,2,* , Yao-Tsung Chang 2 and Hsi-Hsiang Chang 2 1 Department of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan;
[email protected] 2 Taiwan Power Company Southern Region Construction Office, Kaohsiung 81166, Taiwan;
[email protected] (Y.-T.C.);
[email protected] (H.-H.C.) * Correspondence:
[email protected]; Tel.: +886-3676901 Received: 19 February 2020; Accepted: 21 April 2020; Published: 6 May 2020 Abstract: This study discusses a numerical study that was developed to optimize the ventilation system in a power substation prior to its installation. We established a multiobjective particle swarm optimizer to identify the best approach for simultaneously improving, first, the ventilation performance considering the most appropriate inlet size and outlet openings and second, the reduction of the synthetic noise of the ventilation and power consumption from the exhaust fan equipment and its operation. The study used building information modeling to construct indoor and outdoor models of the substation building and verified the overall performance using ANSYS FLUENT 18.0 software to simulate the air velocity and air temperature distribution within the building. Results show that the exhaust fan of the B1F cable finishing room and the 23 kV gas insulated switchgear (GIS) room optimize the reduction of horsepower by approximately 1 Hp and 0.5 Hp. The combined noise is reduced by 4 dBA and 2 dBA; the exhaust fan runs for 30 min, and the two equipment rooms can cool down by 2.9 ◦C and 1.7 ◦C, respectively.