
Optimization of Central Air Conditioning Plant by Scheduling the Chiller Ignition for Chiller Electrical Energy Management
Author(s) -
Anggara Trisugraha,
Lailia Nur Safitri
Publication year - 2021
Publication title -
indonesian journal of electronics, electromedical engineering, and medical informatics
Language(s) - English
Resource type - Journals
ISSN - 2656-8624
DOI - 10.35882/ijeeemi.v3i2.7
Subject(s) - chiller , chiller boiler system , coefficient of performance , efficient energy use , air conditioning , electricity , automotive engineering , energy consumption , water chiller , environmental economics , environmental science , process engineering , engineering , electrical engineering , economics , mechanical engineering , heat pump , refrigerant , physics , heat exchanger , gas compressor , thermodynamics
Currently, the demand for electrical energy in homes, buildings, and industry is increasing, in line with population and economic growth. Of course, because of the massive use of electrical energy, it is necessary to increase efficiency. Large shopping malls in some countries are the biggest consume electricity, especially when it comes to cooling systems. Therefore, it is necessary to save energy in shopping centers. Because there are still few tenants and shopping centers that are relatively quiet, the mall's energy consumption is low, so it requires increasing energy-efficient consumption efficiency by optimizing power management and calculating the chiller performance coefficient (COP). This research aims to increase the chiller performance coefficient (COP) to save energy in shopping centers. The optimization method used is to make changes to the chiller ignition schedule when it's used in malls. Through the analysis from this research, it was found that the COP increased to 0.584, and the value before optimization was 6.181. With increasing COP, the chiller performance will increase. The effect of increasing the chiller's performance could optimize the electrical energy efficiency of the chiller in 138.82 kWh/day