Worldwide Sites

You have been detected as being from . Where applicable, you can see country-specific product information, offers, and pricing.

Change country/language X

Keyboard ALT + g to toggle grid overlay

Using General Modeling Conventions for the Shared Development of Building Performance Simulation Software

Rhys Goldstein, Simon Breslav, Azam Khan

International Conference of the International Building Performance Simulation Association
2013

Abstract

The building performance simulation community applies theory from several different fields to develop models for heat transfer, light propagation, human behavior, and other domains. To integrate these models, we propose the adoption of general modeling conventions from the less familiar field of modeling and simulation theory. The conventions we explore are known as the Discrete Event System Specification (DEVS). With DEVS, a model-independent simulator responsible for advancing time alleviates many of the technological difficulties involved in coupling models. We show how DEVS, from a mathematical perspective, accommodates the co-simulation strategies known as loose and strong coupling as well as strategies involving variable time steps. We also show how a model based on a functional decomposition of a system, as opposed to a topological decomposition, readily supports the sharing of domain-specific algorithms. The examples presented were implemented using Design-DEVS, an environment we created to help communities of researchers collaborate in the development of simulation software.

Related Publications

Related Projects

Systems Design & Simulation

While traditional programming practices have produced a wide range of relatively independent simulation methods, predictive models of extremely complex natural and artificial systems will require a more scalable, more collaborative approach to modeling. This project strives for software that will help researchers develop, debug, document, share, and integrate simulation code.

Building Simulation

Buildings are the largest consumers of energy responsible for 48% of all Green House Gas (GHG) emissions. Due to the complexity and multidisciplinary aspects of architectural design, construction, urban design, and building occupant behavior, simulation has gained attention as a means of addressing this enormous challenge. The idea is to model a building’s many interacting subsystems, including its occupants, electrical equipment, and indoor and outdoor climate. With simulation results in hand, an architect is better able to predict the energy demand associated with various designs, and choose from among the more sustainable options.

Heading

Descriptive text. Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt magna aliqua in reprehenderit.