Variable refrigerant flow heat pump model with estimated parameters and emulated controller based on manufacturer data

Aziz Mbaye, Massimo Cimmino

Communication écrite (2022)

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Résumé

A new physics-based and modular variable refrigerant flow (VRF) heat pump model aimed toward multi-year simulations is presented. The model allows the simulation of any number of indoor units (IU), outdoor units (OU) and compressors. A parameter-estimation procedure and a control strategy both using available manufacturer data is proposed. The model is validated against data collected from a VRF system that services the first floor of the former ASHRAE Headquarters Building in Atlanta (USA), comprised of 22 IU, 2 OU, and 8 compressors. Results show that the model accurately predicts the total energy consumption over a two-month cooling period, with a relative error, normalized mean bias error, and coefficient of variation of the root mean square error of 1%, 1.6%, and 16.7%, respectively.

Organismes subventionnaires:
CRSNG/NSERC
Numéro de subvention:
RGPIN-2018-04471
Adresse URL de PolyPublie:
Nom de la conférence:
5th Building Performance Analysis Conference and SimBuild (2022)
Lieu de la conférence:
Chicago, Illinois
Date(s) de la conférence:
2022-09-14 - 2022-09-16
Titre de la revue :
Science and Technology for the Built Environment ( vol. 30 , no 4 )
Maison d'édition:
Taylor and Francis
OAI:
oai:publications.polymtl.ca:57209
ORCID
Date du dépôt:
29 janv. 2024 14:38
Dernière modification:
08 oct. 2026 18:37
Citer en APA 7:
Mbaye, A., & Cimmino, M. (septembre 2022). Variable refrigerant flow heat pump model with estimated parameters and emulated controller based on manufacturer data [Communication écrite]. 5th Building Performance Analysis Conference and SimBuild (2022), Chicago, Illinois (18 pages). Publié dans Science and Technology for the Built Environment, 30(4). https://doi.org/10.1080/23744731.2023.2279469

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