Repository logo
 
No Thumbnail Available
Publication

Consumption Optimization of an Office Building using Different Approaches

Use this identifier to reference this record.
Name:Description:Size:Format: 
COM_GECAD_Mahsa Khorram_2019.pdf237.37 KBAdobe PDF Download

Advisor(s)

Abstract(s)

Due to the increment of electricity demand in different types of buildings, the methods of energy optimization are important. Lighting systems play a key role in the electricity consumption since they are appropriate for use in optimization purposes. There are several approaches for solving optimization problems, so several simulations should be performed in order to identify the best approach. This paper focuses on three optimization approaches in order to solve an optimization problem developed for the lighting system of an office building. The optimization methodologies are particle swarm optimization as a heuristic method and OMPR and Lpsolve as two deterministic methods. A case study is presented in order to evaluate and compare the performance of the methods and identify the most suitable approach for the lighting optimization problem in the office building.

Description

Keywords

Lighting Optimization Heuristic PSO Deterministic SCADA Multi-Agent Systems

Citation

Research Projects

Organizational Units

Journal Issue

Publisher

Institute of Electrical and Electronics Engineers

CC License

Altmetrics