Consumption Optimization of an Office Building using Different Approaches
- 1. GECAD Research Group, Polytechnic of Porto (ISEP/IPP), Porto, Portugal
Description
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.
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Additional details
Funding
- Fundação para a Ciência e Tecnologia
- UID/EEA/00760/2013 – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development 147448
- European Commission
- DREAM-GO – Enabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach 641794