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
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