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A Conceptual Design of a Wireless Sensor Actuator System for Optimizing Energy and Well-being in Buildings

Wu, Shaomin, Noy, Penny (2010) A Conceptual Design of a Wireless Sensor Actuator System for Optimizing Energy and Well-being in Buildings. Intelligent Buildings International, 2 (1). pp. 41-56. ISSN 1750-8975. (doi:10.3763/inbi.2009.0032) (KAR id:32001)

Abstract

This article presents a prototype model based on a wireless sensor actuator network (WSAN) aimed at optimizing both energy consumption of environmental systems and well-being of occupants in buildings. The model is a system consisting of the following components: a wireless sensor network, 'sense diaries', environmental systems such as heating, ventilation and air-conditioning systems, and a central computer. A multi-agent system (MAS) is used to derive and act on the preferences of the occupants. Each occupant is represented by a personal agent in the MAS. The sense diary is a new device designed to elicit feedback from occupants about their satisfaction with the environment. The roles of the components are: the WSAN collects data about physical parameters such as temperature and humidity from an indoor environment; the central computer processes the collected data; the sense diaries leverage trade-offs between energy consumption and well-being, in conjunction with the agent system; and the environmental systems control the indoor environment.

Item Type: Article
DOI/Identification number: 10.3763/inbi.2009.0032
Uncontrolled keywords: Data processing, Environmental systems, Multi-agent systems, Wireless sensor networks, Agent systems, Airconditioning systems, Energy consumption, Environmental systems, In-buildings, Indoor environment, New devices, Optimizing energy, Personal Agent, Physical parameters, Prototype models, Wireless sensor, Actuators, Computer control systems, Conceptual design, Data handling, Energy utilization, Humidity control, Intelligent agents, Optimization, Sensors, Wireless sensor networks, Multi agent systems, air conditioning, conceptual framework, data processing, optimization, sensor, trade-off
Subjects: H Social Sciences
H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Shaomin Wu
Date Deposited: 26 Oct 2012 15:43 UTC
Last Modified: 05 Nov 2024 10:14 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/32001 (The current URI for this page, for reference purposes)

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