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id ddss9480
authors Schipper, Roel and Augenbroe, Godfried
year 1994
title An Information Model of Energy Performance in Early Building Design
source Second Design and Decision Support Systems in Architecture & Urban Planning (Vaals, the Netherlands), August 15-19, 1994
summary Design is a creative and dynamic process. The level to which a future generation of Intelligent Integrated Building Design Systems will be able to support this process depends on the power of the underlying conceptual models to cover the semantics of design. In the definition of generic building models, the concept of constraints appears to be a powerful means to formalize those semantics. Both design performance goals, and rules and relations in design composition can be described as constraints. The Engineering Data Model (EDM), recently developed at UCLA, acknowledges this fact. It allows the formal definition of object oriented building models, using constraints as the central concept for describing relations. This paper will discuss the development of an EDM building model for the integrated design for energy performance, and the implementa-tion of this model in a small prototype system. We will specifically deal with modelling informati-on in the early design stages. This information typically consists of multiple global design alternatives on one hand, and a wide range of conflicting design goals on the other hand. In the paper, it is demonstrated that integration of these conflicting views on building performance in one coherent model is the key to obtaining an optimal design result. Using the Dutch building codes for energy performance (NEN 2916) as an example of design goals, the concepts and relations of these building codes were translated to a formal EDM model. A small shell was built on top of this computer-interpretable model, to demonstrate the useability of the model during the solving of a concrete design problem. It is shown that the EDM building model is able to provide the designer with integrated information through combining different sets of performance constraints and design alternatives in one environment.
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