A model of intelligent building energy management for the indoor environment by ProQuest

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									A model of intelligent building
energy management for the
indoor environment
Runming Yao1*, Jie Zheng2,3
 School of Construction Management and Engineering, University of Reading, Whiteknights,
PO Box 219, Reading RG6 6AW, UK
  Three Gorges Reservoir Key Laboratory of Ministry of Education, Chongqing University, Chongqing
400045, China
 The Faculty of Urban Construction and Environmental Engineering, Chongqing University, China

People’s interaction with the indoor environment plays a significant role in energy consumption in
buildings. Mismatching and delaying occupants’ feedback on the indoor environment to the building
energy management system is the major barrier to the efficient energy management of buildings.
There is an increasing trend towards the application of digital technology to support control systems
in order to achieve energy efficiency in buildings. This article introduces a holistic, integrated, building
energy management model called ‘smart sensor, optimum decision and intelligent control’ (SMODIC).
The model takes into account occupants’ responses to the indoor environments in the control system.
The model of optimal decision-making based on multiple criteria of indoor environments has been
integrated into the whole system. The SMODIC model combines information technology and people-
centric concepts to achieve energy savings in buildings.

Keywords: indoor environments, intelligent control, optimum decision making, smart sensor

INTRODUCTION                                                    lighting systems, and other engineering solutions.
Humankind is confronted by great threats from                   However, energy consumption in buildings is
climate change and energy famine. Recent                        strongly related to occupants’ satisfaction and their
energy consumption figures show that buildings                  behaviour when using energy to improve their
account for about 25 per cent of the total energy               indoor environment. In order to achieve energy
consumption in China (China Urban Research                      savings in buildings, the efficient use of energy
Committee, 2008); in the UK the figure is closer                has become a vital issue. It is essential to have a
to 50 per cent, with a similar situation in other               full understanding of occupants’ satisfaction and
industrialized countries (Boardman et al., 2007).               their responses in indoor environments so that
The consequent need for energy efficiency                       building energy management can be maintained
has resulted in the use of high-performance                     and controlled to satisfy human requirements
building envelopes, energy-efficient and effective              and achieve the best building performance with
heating, ventilation, air-conditioning (HVAC) and               regard to energy consumption. In this article, we

*Corresponding author. E-mail: r.yao@reading.ac.uk

Intelligent Buildings International 2 (2010), 72–80, doi:10.3763/inbi.2009.0033
© 2010 Earthscan ISSN: 1750–8975 (print), 1756–6932 (online) www.earthscan.co.uk/journals.inbi
                        A model of intelligent building energy management for the indoor environment 73

introduce a holistic intelligent control model for             Energy management systems involve many
integrating occupants’ responses to the indoor             control variables; the application of a traditional
thermal and lighting environment with intelligent          quantitative control method based on the pre-
control systems in order to achieve energy                 set constant values of physical parameters is
efficiency in buildings.                                   not sufficient to detect occupants’ response
                                                           to the indoor environment. Therefore, the
BUILDING ENERGY OPERATING                                  traditional control 
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