DocumentCode :
252218
Title :
Simulation-based optimization in energy efficiency retrofit for office building
Author :
Banoczy, E. ; Szemes, P.T.
Author_Institution :
Electr. Eng. & Mechatron. Dept., Univ. of Debrecen, Debrecen, Hungary
fYear :
2014
fDate :
13-15 Dec. 2014
Firstpage :
222
Lastpage :
227
Abstract :
The aim of this paper to introduce a computer based optimization method what is able to improve the energy efficiency of existing or new buildings. The proposed method is a mixture of building physics simulation and multi value optimization method. The building is considered as a multi-variable nonlinear system. Different optimization directions are examined, what is lead to suboptimal solution. Combination of suboptimal method are shown to illustrate globally optimal solution. In Hungary the most energy consumption is in building sector. More than half of Hungarian buildings - included the residential, office, commercial and public buildings - were built before 1980s. Because old and poor condition buildings the energy efficiency of the building sector is low. In this article we present some energy retrofit opportunities and simulations about a Hungarian office buildings. In this research we simulated nine retrofits and searched the best opportunity for reducing energy usage.
Keywords :
building management systems; buildings (structures); nonlinear programming; office environment; power consumption; power engineering computing; structural engineering computing; Hungarian office buildings; Hungary; building physics simulation; building sector; computer based optimization method; energy consumption; energy efficiency retrofit; energy usage reduction; globally optimal solution; multivalue optimization method; multivariable nonlinear system; simulation-based optimization; suboptimal method; Buildings; Cooling; Electricity; Optimization; Resistance heating; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Integration (SII), 2014 IEEE/SICE International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4799-6942-5
Type :
conf
DOI :
10.1109/SII.2014.7028041
Filename :
7028041
Link To Document :
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