DocumentCode :
3240504
Title :
The Evaluation of Facilities Intelligence: An ANP-Driven Approach
Author :
Chen, Zhen ; Nagar, Atulya K.
Author_Institution :
Sch. of the Built Environ., Heriot-Watt Univ., Edinburgh, UK
fYear :
2009
fDate :
14-16 Dec. 2009
Firstpage :
59
Lastpage :
65
Abstract :
This paper presents a novel method for evaluating facilities in regard to their designed intelligence. Facilities intelligence is defined as the designed capacity of a facility to acquire and process data and information to perform its adaptability to life-cycle circumstance changes in terms of people´s requirements of well-being and energy efficiency. This definition is then formulated to quantify the Index of Facilities Intelligence, the level of facilities intelligence, and the reliability of facilities evaluation. STEEP (social, technical, economic, environmental, and policy) criteria and their sub-criteria are used to set up an ANP (analytic network process) model, and ANP result such as synthesized priority weights is then used to calculate those parameters related to facilities intelligence. An experimental case study is given to prove the effectiveness of applying the proposed method to evaluate the intelligence of facilities in practice.
Keywords :
building management systems; environmental factors; performance evaluation; socio-economic effects; ANP-driven approach; STEEP; adaptability; analytic network process; economic criteria; environmental criteria; facilities intelligence; life-cycle circumstance; policy criteria; social criteria; technical criteria; Buildings; Competitive intelligence; Energy management; Environmental economics; Intelligent networks; Intelligent structures; Intelligent systems; Network synthesis; Power engineering and energy; Power generation economics; buildings; evaluation; facilities; infrastructures; intelligence; intelligent systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Developments in eSystems Engineering (DESE), 2009 Second International Conference on
Conference_Location :
Abu Dhabi
Print_ISBN :
978-1-4244-5401-3
Electronic_ISBN :
978-1-4244-5402-0
Type :
conf
DOI :
10.1109/DeSE.2009.65
Filename :
5395089
Link To Document :
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