The use of tools of simulation in every field of engineering is in the last years widely spreading. Lot of them can be used and a large amount of simulators can be found on the market in order to perform every kind of analysis and prediction. In the field of building/plant system, tools based on white, grey and black box approaches are often used as a function of accuracy and reliability. Several tools were developed according to mathematical models and transient analysis in order to perform Building Energy Simulations. The lumped capacitance models have a potential in terms of both data reliability and low computational cost. The Resistance-Capacitance models can be realized with different orders to improve the dynamic thermal behavior of building and coupled with model-based design tools. Dymola with Modelica language can provide a useful tool for engineers to design a thermohygrometric comfort model optimizing the energy consumptions. The paper describes a calculation method developed with the aid of an outdoor test cell, based on a second order Lumped parameters model coupled with a hygrometric model and a Model Predictive Control thanks to a library for real time control and management of energy consumptions and thermal comfort. RÉSUMÉ. L'utilisation d'outils de simulation dans tous les domaines de l'ingé nierie s'estlargement ré pandue ces derniè res anné es. Beaucoup d'entre eux peuvent ê tre utilisé s et une grande quantité de simulateurs peuvent ê tre trouvé s sur le marché afin d'effectuer tout type d'analyse et de pré vision. Dans le domaine des systè mes de bâtiments / installations, les outils basé s sur les approches de boî te blanche, grise et noire sont souvent utilisé s en fonction de la pré cision et de la fiabilité . KEYWORDS: building energy simulations, model predictive control, lumped parameters model, dymola. MOTS-CLÉS: simulations d'é nergie du bâtiment, commande pré dictive, modè le à paramè tre concentré e, dymola.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.