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Treffer: Evaluation and improvement of the energy performance of a building's equipment and subsystems through continuous monitoring

Title:
Evaluation and improvement of the energy performance of a building's equipment and subsystems through continuous monitoring
Source:
Energy and buildings. 75:368-381
Publisher Information:
Oxford: Elsevier, 2014.
Publication Year:
2014
Physical Description:
print, 29 ref
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Graduate Program in Electrical Engineering, Federal University of Minas Gerais, Av. Antônio Carlos 6627, 31270-901 Belo Horizonte, MG, Brazil
Centre for Intelligent Energy Research, IERC, Federal Centre of Technological Education, CEFET-MG, Av. Amazonas 7675, 30510-000 Belo Horizonte, Brazil
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.28422579
Database:
PASCAL Archive

Weitere Informationen

This study proposes an experimental method for the evaluation of a building's equipment and subsystems through the continuous monitoring of electrical and environmental process variables. The aim of the study is to improve the building's comfort and energy performance using an automatic control system. A case study of a building's air-conditioning system is presented using the proposed method. A dynamic equipment-control model for an artificially conditioned environment is described. Additionally, empirical models are developed that relate equipment variables, the conditioned environment and a building's surroundings and occupation characteristics using representation through transfer functions and auto-regressive models with exogenous inputs (ARX). The empirical models were created using continuous monitoring data via the Internet and a low-cost platform known as the end use monitoring centre (EUMC). These models represent the relevant characteristics of the involved variables in consideration of the complexity of the modelled phenomena. An automatic equipment control system was designed and installed. The systems resulted in significant improvements in comfort and energy efficiency. The proposed method can be applied to diverse types of equipment and subsystems in buildings.