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Artificial Intelligence Approach to Energy Management and Control in the HVAC Process: An Evaluation, Development and Discussion
Author(s) -
Zhou Hong,
Rao Ming,
Chuang Karl T.
Publication year - 1993
Publication title -
developments in chemical engineering and mineral processing
Language(s) - English
Resource type - Journals
eISSN - 1932-2143
pISSN - 0969-1855
DOI - 10.1002/apj.5500010105
Subject(s) - hvac , process (computing) , control (management) , control engineering , energy management , engineering , systems engineering , building management , building automation , energy conservation , computer science , building management system , direct digital control , energy (signal processing) , architectural engineering , air conditioning , artificial intelligence , mechanical engineering , electrical engineering , statistics , physics , mathematics , marketing , business , thermodynamics , operating system
Computer control technology in heating, ventilating and air conditioning (HVAC) systems has evolved in two technical phases: central control and direct digital control (DDC) with central monitoring function. Many control strategies have been developed for energy conservation in HVAC energy management and control systems (EMCS) and these are reported in the literature. An artificial intelligence approach to the EMCS in HVAC process is proposed in this paper. Two real time expert systems for energy‐saving operation and indoor setting are developed and integrated with an adaptive control strategy. Further, a configuration of an integrated intelligent system for intelligent building management is proposed, in which building management functions are coordinated by a meta‐system. The applications of artificial intelligence (AI) techniques in a HVAC process give a new avenue for the development of EMCS in the HVAC industry.