To make decisions, building designers need to predict and assess the performance of their ideas with respect to various criteria, such as comfort, esthetics, energy, environmental impact, economics, etc. Performance prediction with respect to environmental impact requires complicated models and massive computations, which are usually possible only through computer-based tools. This paper focuses on the use of,computer-based tools for predicting and assessing building performance with respect to environmental impact criteria for the design of green.buildings. It contains analyses of green performance prediction/assessment and descriptions of available tools, along with discussions on their use by different types of users. Finally, it includes analyses of the cost and benefits of green performance prediction and assessment.
BT - Building Research & Information C2 - LBNL-45205 C3 -474606
C6 -Commercial Building Systems Group
C7 -y
CN - LBNL-45205 DA - 02/2000 LA - eng M1 - 5-6 N2 -To make decisions, building designers need to predict and assess the performance of their ideas with respect to various criteria, such as comfort, esthetics, energy, environmental impact, economics, etc. Performance prediction with respect to environmental impact requires complicated models and massive computations, which are usually possible only through computer-based tools. This paper focuses on the use of,computer-based tools for predicting and assessing building performance with respect to environmental impact criteria for the design of green.buildings. It contains analyses of green performance prediction/assessment and descriptions of available tools, along with discussions on their use by different types of users. Finally, it includes analyses of the cost and benefits of green performance prediction and assessment.
PY - 2000 SP - 394 EP - 402 T2 - Building Research & Information TI - Green Building Performance Prediction/Assessment VL - 28 ER -