Published January 31, 2019 | Version v1
Conference paper Open

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.

Notes

The present work was done and funded in the scope of the following projects: H2020 DREAM-GO Project (Marie Sklodowska-Curie grant agreement No 641794); and UID/EEA/00760/2013 funded by FEDER Funds through COMPETE program and by National Funds through FCT.

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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