Open Access
| Issue |
E3S Web of Conf.
Volume 396, 2023
The 11th International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings (IAQVEC2023)
|
|
|---|---|---|
| Article Number | 03020 | |
| Number of page(s) | 6 | |
| Section | Energy Efficient and Healthy HVAC systems | |
| DOI | https://doi.org/10.1051/e3sconf/202339603020 | |
| Published online | 16 June 2023 | |
- U.S. Department of Energy, EnergyPlus 9.3 Engineering Reference, (2020). https://bigladdersoftware.com/epx/docs/9-3/engineering-reference/. [Google Scholar]
- I. Costa-Carrapiço, R. Raslan, J.N. González, A systematic review of genetic algorithm-based multi-objective optimisation for building retrofitting strategies towards energy efficiency, Energy Build. 210 (2020) 109690. [CrossRef] [Google Scholar]
- Z. Afroz, G.M. Shafiullah, T. Urmee, G. Higgins, Modeling techniques used in building HVAC control systems: A review, Renew. Sustain. Energy Rev. 83 (2018) 64–84. [CrossRef] [Google Scholar]
- S. Kuboth, F. Heberle, A. König-Haagen, D. Brüggemann, Economic model predictive control of combined thermal and electric residential building energy systems, Appl. Energy. 240 (2019) 372–385. [CrossRef] [Google Scholar]
- J. Drgoňa, J. Arroyo, I. Cupeiro Figueroa, D. Blum, K. Arendt, D. Kim, E.P. Ollé, J. Oravec, M. Wetter, D.L. Vrabie, L. Helsen, All you need to know about model predictive control for buildings, Annu. Rev. Control. (2020). [Google Scholar]
- Mathworks, Global Optimization Toolbox, User’s Documentation R2019b, The MathWorks Inc., Massachusetts, 2019. https://www.mathworks.com/help/gads/index. [Google Scholar]
- T.T. Gorecki, F.A. Qureshi, C.N. Jones, OpenBuild : An integrated simulation environment for building control, in: 2015 IEEE Conf. Control Appl. CCA 2015 - Proc., IEEE, 2015: pp. 1522–1527. [Google Scholar]
- EPB-pedia, U-waarden (huidig), (2018). https://www.vlaanderen.be/epb-pedia/epb-plichtig-toepassing-en-eisen/epb-eisentabellen-per-aanvraagjaar/u-waarden-huidig. [Google Scholar]
- EN ISO 13786, Thermal performance of building components – Dynamic thermal characteristics – Calculation methods, (2017). https://webshop.ds.dk/Default.aspx?ID=219&GroupID=91.120.10&ProductID=M289824. [Google Scholar]
- EN 16798-1, Energy performance of buildings - Ventilation for buildings - Part 1: Indoor environmental input parameters for design and assessment of energy performance of buildings addressing indoor air quality, thermal environment, lighting and acoustics - Module M1, (2019). [Google Scholar]
- U.S. Department of Energy, Electric Resistance Heating,. https://www.energy.gov/energysaver/electric-resistance-heating. [Google Scholar]
- D. Sturzenegger, D. Gyalistras, M. Morari, R.S. Smith, Semi-automated modular modeling of buildings for model predictive control, 2013. [Google Scholar]
- D. Blum, Z. Wang, C. Weyandt, D. Kim, M. Wetter, T. Hong, M.A. Piette, Field demonstration and implementation analysis of model predictive control in an office HVAC system, Appl. Energy. 318 (2022) 119104. [CrossRef] [Google Scholar]
- U. Maeder, F. Borrelli, M. Morari, Linear offset-free model predictive control, Automatica. 45 (2009) 2214–2222. [CrossRef] [Google Scholar]
- C.K. Chui, G. Chen, Kalman filtering with Real-Time Applications, Springer, 2017. [CrossRef] [Google Scholar]
- J. Löfberg, YALMIP: A toolbox for modeling and optimisation in MATLAB, in: Proc. IEEE Int. Symp. Comput. Control Syst. Des., 2004: pp. 284–289. [Google Scholar]
- Gurobi optimizer 9.0.3, (2020). [Google Scholar]
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