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Interoperability of Computer Aided Design and Energy Performance Simulation to Improve Building Energy Efficiency and Performance
Abstract
The paper describes very significant novel interoperability and data modeling technology for existing building that maps a building information parametric model with an energy simulation model, establishing a seamless link between Computer Aided Design (CAD) and energy performance simulation software. In the past, architects, engineers and building commissioners visualized their designs and measurements by working with drawings, physical models and full-scale construction. But today's models are digital, and even full-scale construction can be also virtual. With this innovative digital exchange and simulation technology, architects, building designers, and commissioners can improve, maintain and visually analyze dynamic building energy performance in response to changes of climate and building parameters. This software interoperability provides full data exchange bidirectional capabilities, which significantly reduces time and effort in energy simulation and data regeneration. Data mapping and exchange are key requirements for building more powerful energy simulations. An effective data model is the bidirectional nucleus of a well-designed relational database, critical in making good choices in selecting design parameters, and in gaining a comprehensive understanding of existing data flows throughout the simulation process. Despite the variety of energy simulation applications in the lifecycle of building design and construction projects, there is a need for a system of data integration to allow seamless sharing and bidirectional reuse of data.
Subject
building information modelparametric model
energy model
data model
energy performance simulation
web browser
interactive
interface
internet
client-server
Citation
Chaisuparasmikul, P. (2006). Interoperability of Computer Aided Design and Energy Performance Simulation to Improve Building Energy Efficiency and Performance. Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu). Available electronically from https : / /hdl .handle .net /1969 .1 /5338.