Air Conditioning Consumption Optimization Based on CO2 Concentration Level

Khorram Ghahfarrokhi, Mahsa; Zheiry, Modar; Faria, Pedro; Vale, Zita

http://hdl.handle.net/10400.22/18482

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
COM_GECAD_Mahsa_ISAP_2019.pdf		544.71 KB	Adobe PDF	Download

Send Feedback

Authors

Khorram Ghahfarrokhi, Mahsa

Zheiry, Modar

Faria, Pedro

Vale, Zita

Abstract(s)

Nowadays, energy consumption increasing is a big concern for many countries around the world. Disadvantages and consequences of fossil fuels for the environment caused a lot of efforts to invest in renewable energy resources and programs to optimize energy consumption. All types of buildings are the major consumers of electric power. Therefore, buildings can be considered as good options for implementing optimization algorithms, assuming that they are equipped to required infrastructures. Air conditioners are flexible loads that can be directly controlled by optimization programs. This paper presents a particle swarm optimization algorithm to minimize the power consumption of the air conditioners based on the carbon dioxide concentration level. The algorithm considers the thermal comfort of users with defining restrictions. The case study of the paper proposes two scenarios with real monitored data of a building. The result of the paper shows the obtained results of the algorithm and makes the comparison of two scenarios.