Comparative and Sensibility Analysis of Cooling Systems

Érick-G. Espinosa-Martínez (), Sergio Quezada-García, M. Azucena Escobedo-Izquierdo and Ricardo I. Cázares-Ramírez ()
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Érick-G. Espinosa-Martínez: Department of Engineering, CIIDETEC-Coyoacán, Universidad del Valle de México (UVM), Coyoacán 04910, Mexico
Sergio Quezada-García: Departamento de Sistemas Energéticos, Facultad de Ingeniería, Universidad Nacional Autónoma de México (UNAM), Ciudad de México 04510, Mexico
M. Azucena Escobedo-Izquierdo: Departamento de Sistemas Energéticos, Facultad de Ingeniería, Universidad Nacional Autónoma de México (UNAM), Ciudad de México 04510, Mexico
Ricardo I. Cázares-Ramírez: Departamento de Sistemas Energéticos, Facultad de Ingeniería, Universidad Nacional Autónoma de México (UNAM), Ciudad de México 04510, Mexico

Energies, 2024, vol. 17, issue 17, 1-15

Abstract: As the global average temperature has increased due to climate change, the use of air conditioning equipment for cooling homes has become more popular. Inverter equipment is advertised as a better energy option than systems with an on/off control; however, there is a lack of sufficient studies to prove this. This work aims to analyze and compare the electricity consumption associated with cooling equipment with an on/off control and inverter equipment. A heat transfer model coupled with energy balance for a room is developed and implemented in Python 3.12. The indoor temperature is controlled by simulating an on/off control and a PID control for the inverter system. Subsequently, the electricity consumption of the two systems is compared, and a sensitivity analysis is performed to determine which variables have the greatest impact on electricity consumption. The results show that the inverter equipment has lower electricity consumption compared to the equipment with the on/off control. However, the sensitivity analysis shows that the indoor temperature set point plays a more relevant role since a 15% variation in its value impacts electricity consumption by up to 77%.

Keywords: electricity consumption; PID control; heat transfer; numerical simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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