Diagnosing building operational problems
Inefficient operation of HVAC systems wastes valuable resources, can be difficult to track and rarely receives the attention necessary from understaffed building operators. The authors have found that building operators have a need for focused, timely energy information. New techniques that are capable of automatically tracking and diagnosing problems in HVAC systems are beginning to appear. Such techniques have been applied to several building complexes with encouraging results. They show that operational problems can be correctly diagnosed using metered data and computerized decision support in the form of expert systems. This article reviews the application of intelligent systems to building HVAC diagnostics, discusses selected applications and presents early results from applications to several buildings.
- Research Organization:
- Princeton Univ., NJ (USA). Center for Energy and Environmental Studies; Massachusetts Inst. of Tech., Cambridge, MA (USA)
- OSTI ID:
- 5779691
- Journal Information:
- ASHRAE J.; (United States), Journal Name: ASHRAE J.; (United States) Vol. 31:6; ISSN ASHRA
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
320100* -- Energy Conservation
Consumption
& Utilization-- Buildings
99 GENERAL AND MISCELLANEOUS
990210 -- Supercomputers-- (1987-1989)
ARTIFICIAL INTELLIGENCE
AUTOMATION
BUILDINGS
DATA ANALYSIS
EFFICIENCY
ENERGY MANAGEMENT
ENERGY SYSTEMS
EXPERT SYSTEMS
MANAGEMENT
SPACE HVAC SYSTEMS
USES