【文章內(nèi)容簡(jiǎn)介】 ent building system for airport, ASHRAE Journal, (1997 (November)) 31–35. [9] H. Arkin, M. Paciuk, Evaluating intelligent building according to level of service system integration, Automation in Construction 6 (1997) 471– 479. [10] P. Armstrong, . Brambley, . Curtiss, S. Katipamula, Controls, in: . Kreider (Ed.), 11 Handbook of Heating, Ventilation, and AirConditioning, CRC Press, Florida, 2021, –268. Intelligent building research: a review . AbdelKader, D. Dugdale, . Berry, . McGreal, . Abraham Abstract： Within the last two decades, substantial amount of literature on intelligent building has been generated. However, there is a lack of systematic review of existing research efforts and achievements. A prehensive review on existing research provides great benefits to identify where more efforts are needed and therefore the future research directions. For this purpose, this paper reviews the literature related to the subject area of intelligent building. Our review indicates that previous research efforts have dealt mainly with three research aspects including advanced and innovative intelligent technologies research, performance evaluation methodologies and investment evaluation analysis. It is also identified that among the three research aspects, relatively less literature has been found addressing the issues of investment evaluation of intelligent buildings. Based on a prehensive literature review, the paper also summarizes a few future research directions, which are useful to researchers working in this important area. Keywords: Intelligent building。 Definition。 Performance evaluation。 Investment evaluation。 Net present value。 Life cycle costing analysis。 Cost benefit analysis。 Analytical hierarchy process。 Fuzzy set theory。 1 Introduction The word ‘intelligent’ was first used to describe buildings in the United States at the beginning of the 1980s. The concept of ‘intelligent building’ was stimulated by the development of information technology and increasingly sophisticated demand for ‘fort living environment and requirement for increased occupant control of their local environments’. Research on intelligent building has been conducted ubiquitously and research results have been published in many academic journals. Much research work has been focusing on the discussion of intelligent building technology development and performance evaluation methodologies. However, little literature has been devoted to addressing investment evaluation techniques of intelligent buildings. 12 Also, there exists insufficient information and support for investment decisionmaking at the conceptual stage of intelligent building development. The growing investment on intelligent buildings and the greater demand for demonstrating its profitability of intelligent building have led to the investigation for methods and techniques that can be of assistance in evaluating intelligent building investments,preferably at the conceptual stage. The purpose of this paper is to provide a succinct and systematic review of the existing research in intelligent building in order to identify and suggest future research directions. This paper begins with the discussion of the definition of intelligent buildings. Then, the paper summarizes current research areas in intelligent building into three sections. The first section provides an overview of research in intelligent building. The second section presents methodologies for investment evaluation for investment evaluation of intelligent building projects. The third section presents future research directions. 2 Definitions of intelligent building There have been a myriad of academic and technical literature discussing the definition of intelligent buildings. According to the research conducted by Wigginton and Harris , there exist over 30 separate definitions of intelligence in relation to building. Early definitions of intelligent building focused almost entirely centered on technology aspect and did not suggest user interaction at all. Cardin (1983, cited in Ref. ) defined intelligent building as ‘one which has fully automated building service control systems’. The Intelligent Building Institution in Washington (1988, cited in Refs. ) defined intelligent building as ‘one which integrates various systems to effectively manage resources in a coordinated mode to maximize: technical performance, investment and operating cost savings, flexibility’. The purely technological definition of intelligent building has been criticized by many researchers. For example, DEGW in mid1980s found that buildings which were unable to cope with changes in the anizations that occupy them, or in the information technology that they use, would bee prematurely obsolete or require substantial refurbishment or demolition. Authors such as Robathan Loveday etal. Preiser and Schramm and Wigginton and Harris suggested that intelligent buildings must respond to user requirements. According to ClementsCroome , there has been growing 13 awareness that the services systems and work process management of a building have close relationships with the wellbeing of human. The building environment affects the wellbeing and fort of human in the workplace, and in turn it influences human’s productivity, morale and satisfaction. Some authors suggested the intelligent building accentuates a ‘multidisciplinary effort to integrate and optimize the building structures, systems, services and management in order to create a productive, cost effective and environmentall