Integrating energy expertise into building design
- Pacific Northwest Lab., Richland, WA (USA)
- USDOE Assistant Secretary for Conservation and Renewable Energy, Washington, DC (USA). Office of the Deputy Assistant Secretary for Building Technologies
Most commercial buildings designed to today will use more energy to operate, and cost more to design and construct than necessary. Significant energy savings cold be achieved with little or not increase in first cost if energy-efficient design technologies were used. Research into integration of building systems indicates that by considering energy performance early in the design process, energy savings between 30% and 50% of current energy consumption rates are technically and economically feasible. However, most building design teams do not adequately consider the energy impacts of design decisions to achieve these savings. The US Department of Energy has initiated a project, led by Pacific Northwest Laboratory, to develop advanced computer-based technologies that will help designers take advantage of these large potential energy savings. The objective of this work is to develop automated, intelligent, energy design assistance that can be integrated into computer aided design systems of the future. This paper examines the need for this technology by identifying the impediments to energy-efficient design, identifies essential and desirable features of such systems, presents the concept under development in this effort, illustrates how energy expertise might be incorporated into design, and discusses the importance of an integrated approach. 8 refs., 1 fig.
- Research Organization:
- Pacific Northwest Lab., Richland, WA (USA)
- Sponsoring Organization:
- DOE/CE
- DOE Contract Number:
- AC06-76RL01830
- OSTI ID:
- 6394509
- Report Number(s):
- PNL-SA-18274; CONF-9008156-2; ON: DE91004082
- Resource Relation:
- Conference: 5. ICSRIC-90: international conference on systems research, informatics and cybernetics, Baden-Baden (German Democratic Republic), 6-12 Aug 1990
- Country of Publication:
- United States
- Language:
- English
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ENERGY EFFICIENCY
ARTIFICIAL INTELLIGENCE
AUTOMATION
BUILDING CODES
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