Lippiatt, B.
(2017),
BEES 3.0 Building for Environmental and Economic Sustainability: Technical Manual and User Guide, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD
(Accessed December 26, 2024)
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BEES 3.0 Building for Environmental and Economic Sustainability: Technical Manual and User Guide
Published
Author(s)
Abstract
The BEES (Building for Environmental and Economic Sustainability) version 3.0 software implements a rational, systematic technique for selecting environmentally-friendly, cost-effective building products. The technique is based on consensus standards and designed to be practical, flexible, and transparent. The Windows-based decision support software, aimed at designers, builders, and product manufacturers, includes actual environmental and economic performance data for over 150 building products across a range of functional applications. BEES measures the environmental performance of building products using the environmental life-cycle assessment approach specified in ISO 14040 standards. All stages in the life of a product are analyzed: raw material acquisition, manufacture, transportation, installation, use, and waste management. Economic performance is measured using the American Society for Testing and Materials (ASTM) standard life-cycle cost method (E 917), which covers the costs of initial investment, replacement, operation, maintenance and repair, and disposal. Environmental and economic performance are combined into an overall performance measure using the ASTM standard for Multiattribute Decision Analysis (E 1765). For the entire BEES analysis, building products are defined and classified based on the ASTM standard classification for building elements known as UNIFORMATII (E1557).Citation
NIST Interagency/Internal Report (NISTIR) - 6916
Report Number
6916
NIST Pub Series
Pub Type
NIST Pubs
Keywords
building products, economic performance, environmental performance, green buildings, life cycle assessment, life-cycle costing, multiattribute decision analysis, sustainable development
Citation
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Created February 19, 2017