Building optimization testing framework (BOPTEST) for simulation-based benchmarking of control strategies in buildings-Reference-Cited by-同舟云学术

Building optimization testing framework (BOPTEST) for simulation-based benchmarking of control strategies in buildings

Published:2021-09-03 Issue:5 Volume:14 Page:586-610
ISSN:1940-1493
Container-title:Journal of Building Performance Simulation
language:en
Short-container-title:Journal of Building Performance Simulation

Author:

Blum David¹^ORCID,Arroyo Javier²³⁴^ORCID,Huang Sen⁵,Drgoňa Ján⁵^ORCID,Jorissen Filip²^ORCID,Walnum Harald Taxt⁶^ORCID,Chen Yan⁵,Benne Kyle⁷,Vrabie Draguna⁵,Wetter Michael¹,Helsen Lieve²³^ORCID

Affiliation:

1. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

2. Department of Mechanical Engineering, KU Leuven, Leuven, Belgium

3. EnergyVille, Thor Park, Waterschei, Belgium

4. Flemish Institute for Technological Research (VITO), Mol, Belgium

5. Pacific Northwest National Laboratory, Richland, WA, USA

6. SINTEF Community, Oslo, Norway

7. National Renewable Energy Laboratory, Golden, CO, USA

Funder

Assistant Secretary for Energy Efficiency and Renewable Energy, Office of Building Technologies of the U.S. Department of Energy

Vlaamse Instelling voor Technologisch Onderzoek

KU Leuven

Research Centre on Zero Emission Neighbourhoods (ZEN) in Smart Cities

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modeling and Simulation,Building and Construction,Architecture

Link

https://www.tandfonline.com/doi/pdf/10.1080/19401493.2021.1986574

Reference71 articles.

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2. Theory and applications of HVAC control systems – A review of model predictive control (MPC)

3. Åkesson, J. 2008, March. “Optimica-an Extension of Modelica Supporting Dynamic Optimization.” B. Bachmann, ed. [Online]. https://www.researchgate.net/publication/253089188.

4. Modeling and optimization with Optimica and JModelica.org—Languages and tools for solving large-scale dynamic optimization problems

5. null

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