Abstract
The development of separate building performance simulation tools has brought about a significant need for the integration of multi-domain simulations that would enable multiple building performance analyses to be conducted from a single building model. Insufficient data integration between the tools and Building Information Modeling (BIM) currently prevents the efficient production of comprehensive building performance analyses. To overcome this problem, a multi-domain simulation tool, effective and efficient data, and a process integration methodology are all required. Object-Oriented Physical Modeling (OOPM) has emerged as a form of object-oriented modeling capable of supporting multiple domain simulations. Adoption of OOPM into building performance simulations with BIM is particularly interesting as a means of facilitating model translations between BIM and BEM (Building Energy Modeling). Specifically, complex data translation from the building topology in BIM to the space boundary conditions in BEM is both labor intensive and time consuming. This research uses case studies to investigate the feasibility of automatically translating a building topology from BIM to OOPM-based BEM. We included numerous preconditions in order to incorporate various object semantic differences into each model translation. Our research indicates that this adoption approach allows seamless model translations from BIM to OOPM-based BEM, which supports efficient and effective thermal simulations and facilitates the reuse of BIM data in multi-domain simulations.
Highlights
Buildings are responsible for 40% of the primary energy use in the United States [1] and the European Union [2], 36% of greenhouse gas emissions [3], and one-third of the world’s energy [4]
We demonstrate our previous work in adopting an Object-Oriented Physical Modeling (OOPM) approach to Building Information Modeling (BIM) integration with building performance simulations, a process that facilitates multiple domain simulations from a single BIM model
We examined diverse test cases for this case study in order to validate the previous research, including the BIM-based ModelicaBEM framework, translation algorithm, and data model
Summary
Buildings are responsible for 40% of the primary energy use in the United States [1] and the European Union [2], 36% of greenhouse gas emissions [3], and one-third of the world’s energy [4]. A holistic and integrated approach to sustainable design is needed to efficiently provide energy performance analyses based upon multiple domain simulations and in the early design phase. EQuest [20], Energy-10 [21], CONTAM [22], and Radiance have most often been used in education [19]; EnergyPlus [23], Energy-10, HEED [24], and IESVE [25] have primarily been utilized in the industry [26] Such building performance analysis tools are composed of a simulation engine used to conduct target-oriented simulations and a graphic user interface (GUI) [27,28]. GUIs facilitate efficient input translation and enable practitioners and designers to reduce the amount of time spent in preparing input files [28]
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