Approach to Reference Models for Building Performance Simulation

Sahil-Jai Arora, Sahil-Jai Arora, Clara Ceccolini, Clara Ceccolini, Markus Rabe

2022

Abstract

In the fields of business process modeling, logistics, and information model development, Reference Models (RMs) have shown to enhance standardization, support the common understanding of terminology and procedures, reduce the modeling efforts and cost through the paradigm ”Design by Reuse”, and enable knowledge transfer. The use of RMs in Building Performance Simulation (BPS) shows potential to achieve similar benefits. Firstly, to clarify the terminology adopted in the different fields, this paper presents a comprehensive overview of the diversely interpreted definitions, benefits, and attributes of RMs and related terms, including classification into common and uncommon understanding. Secondly, the paper transfers the approach of RMs to BPS. A definition for RMs applicable to BPS is provided, the identified RM qualities are matched with BPS’s challenges, and finally an example of an RM for simulation-based test benches is presented.

Download


Paper Citation


in Harvard Style

Arora S., Ceccolini C. and Rabe M. (2022). Approach to Reference Models for Building Performance Simulation. In Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-550-0, pages 271-278. DOI: 10.5220/0010888800003119


in Bibtex Style

@conference{modelsward22,
author={Sahil-Jai Arora and Clara Ceccolini and Markus Rabe},
title={Approach to Reference Models for Building Performance Simulation},
booktitle={Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2022},
pages={271-278},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010888800003119},
isbn={978-989-758-550-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Approach to Reference Models for Building Performance Simulation
SN - 978-989-758-550-0
AU - Arora S.
AU - Ceccolini C.
AU - Rabe M.
PY - 2022
SP - 271
EP - 278
DO - 10.5220/0010888800003119