Treffer: Integrated and multi-hour optimization of office building energy consumption and expenditure

Title:
Integrated and multi-hour optimization of office building energy consumption and expenditure
Source:
Energy and buildings. 82:391-398
Publisher Information:
Oxford: Elsevier, 2014.
Publication Year:
2014
Physical Description:
print, 20 ref
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Building, Civil and Environmental Engineering Department, Concordia University, 1455 De Maisonneuve Blvd. W., Montreal, Quebec, Canada
ISSN:
0378-7788
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Building. Public works. Transport. Civil engineering
Accession Number:
edscal.28843498
Database:
PASCAL Archive

Weitere Informationen

An integrated approach was used to optimize energy use and expenditure of a RC-network model for five zones (four perimeters and one center zone) office building to control dimmable light, shade position, inside air temperature, and outside air flow rate. Parameters considered in this model were: (1) heat transfer, solar heat gain, and illuminance from window; (2) heat transfer from internal and external walls; (3) external walls heat storage; (4) internal heat gain from occupants and equipment; (5) ventilation rate: (6) cooling and heating systems load; and (7) illuminance and heat gain from artificial lights. Total energy consumption of artificial light, ventilation fan, heating and cooling systems was considered as objective function for optimization. The multi-hour optimization included minimizing total energy use and expenditure for single- or several-hour periods. Our analysis showed significant energy saving potentials by using building integrated multi-hour optimization. Comparing total energy use of the building assuming fixed control schedules with the integrated control of the systems showed yearly savings nearly 35% in electricity use for the simulated office building.