Seasonal adaptation of VRF HVAC model calibration process to a mediterranean climate

Today, Building Energy Models (BEM) have become essential in regulatory compliance calculations, the correct assessment of it’s Air Conditioning (AC) systems is critical for the reduction of the performance gap between BEMs and reality and increase the accuracy of evaluating buildings energy perform...

Descripción completa

Detalles Bibliográficos
Autores: Pachano, J. E. (José Eduardo)|||/items/b1280eac-d907-4c7b-a864-c85db6b06cbb, Peppas, A. (Antonis)|||/items/d7ce0627-1c6b-43ae-8e70-2cf2eca4b527, Fernández-Bandera, C. (Carlos)|||/items/50cb7ce6-2624-471a-ac5d-2da4e4bc57bb
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad de Navarra
Repositorio:Dadun. Depósito Académico Digital de la Universidad de Navarra
Idioma:inglés
OAI Identifier:oai:dadun.unav.edu:10171/63864
Acceso en línea:https://hdl.handle.net/10171/63864
Access Level:acceso abierto
Palabra clave:Building energy models (BEM)
HVAC
Calibration
Variable refrigerant flow (VRF)
Energy simulation
Genetic algorithm
Air conditioning (AC)
id ES_bf7c0e34caa3e772eabe9985b5731ca3
oai_identifier_str oai:dadun.unav.edu:10171/63864
network_acronym_str ES
network_name_str España
repository_id_str
spelling Seasonal adaptation of VRF HVAC model calibration process to a mediterranean climatePachano, J. E. (José Eduardo)|||/items/b1280eac-d907-4c7b-a864-c85db6b06cbbPeppas, A. (Antonis)|||/items/d7ce0627-1c6b-43ae-8e70-2cf2eca4b527Fernández-Bandera, C. (Carlos)|||/items/50cb7ce6-2624-471a-ac5d-2da4e4bc57bbBuilding energy models (BEM)HVACCalibrationVariable refrigerant flow (VRF)Energy simulationGenetic algorithmAir conditioning (AC)Today, Building Energy Models (BEM) have become essential in regulatory compliance calculations, the correct assessment of it’s Air Conditioning (AC) systems is critical for the reduction of the performance gap between BEMs and reality and increase the accuracy of evaluating buildings energy performance and it’s systems efficiency. Given that multi-split Variable Refrigerant Flow (VRF) systems have grown in the market in recent years becoming a particular trending solution to achieve building indoor comfort; the present paper focus on technical issues when modelling such VRF systems inside EnergyPlus, a white- box simulation environment, especially regarding the effects weather conditions have on the behaviour of VRF systems and it’s correlation with the AC system performance curves. The study performs an empir- ical validation of an optimization-based calibration methodology assessing multiple levels: average inte- rior temperature of the different building spaces and electric energy consumption from VRF outdoor unit. It is performed using fifteen minute time-step seasonal data obtained from a fully operational building located in a typical Mediterranean climate (Greece), adjusting the parameter and curve values of the VRF system using a genetic NGSA-II algorithm (Jeplus software) for both summer and winter conditions. The generated BEM captures the building’s hourly performance for summer conditions using 1717 hours to fit into international standards. Complying with the requirements of the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) Guidelines 14-2002 for hourly energy consump- tion, reaching an NMBE 6–10% ,Cv(RMSE) 630% and R2 P75% while keeping indoor temperatures on every room with a RMSE 61 C. The resulting BEM proved stable during the 2077 hours of it’s summer evaluation period, fitting into the new unseen weather and building operation conditions of 2020 which can be considered a step forward in the area of calibrating white box models. While for winter conditions the study demonstrates the value of the calibration methodology while presenting the importance of weather influence on VRF systems. Using a total of 802 hours the applied technology greatly improves the results from the baseline model, reaching a partially calibrated BEM model for winter. Which rein- forces the fact that regardless of how good a baseline model is, building operating conditions and weather may will always generate a design/performance gap and therefore the calibration of a BEM is unavoidable.ElsevierDadun. Depósito Académico Digital Universidad de Navarra20222022-08-0420222022-01-0120222022-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10171/63864reponame:Dadun. Depósito Académico Digital de la Universidad de Navarrainstname:Universidad de NavarraInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:dadun.unav.edu:10171/638642026-06-21T12:47:57Z
dc.title.none.fl_str_mv Seasonal adaptation of VRF HVAC model calibration process to a mediterranean climate
title Seasonal adaptation of VRF HVAC model calibration process to a mediterranean climate
spellingShingle Seasonal adaptation of VRF HVAC model calibration process to a mediterranean climate
Pachano, J. E. (José Eduardo)|||/items/b1280eac-d907-4c7b-a864-c85db6b06cbb
Building energy models (BEM)
HVAC
Calibration
Variable refrigerant flow (VRF)
Energy simulation
Genetic algorithm
Air conditioning (AC)
title_short Seasonal adaptation of VRF HVAC model calibration process to a mediterranean climate
title_full Seasonal adaptation of VRF HVAC model calibration process to a mediterranean climate
title_fullStr Seasonal adaptation of VRF HVAC model calibration process to a mediterranean climate
title_full_unstemmed Seasonal adaptation of VRF HVAC model calibration process to a mediterranean climate
title_sort Seasonal adaptation of VRF HVAC model calibration process to a mediterranean climate
dc.creator.none.fl_str_mv Pachano, J. E. (José Eduardo)|||/items/b1280eac-d907-4c7b-a864-c85db6b06cbb
Peppas, A. (Antonis)|||/items/d7ce0627-1c6b-43ae-8e70-2cf2eca4b527
Fernández-Bandera, C. (Carlos)|||/items/50cb7ce6-2624-471a-ac5d-2da4e4bc57bb
author Pachano, J. E. (José Eduardo)|||/items/b1280eac-d907-4c7b-a864-c85db6b06cbb
author_facet Pachano, J. E. (José Eduardo)|||/items/b1280eac-d907-4c7b-a864-c85db6b06cbb
Peppas, A. (Antonis)|||/items/d7ce0627-1c6b-43ae-8e70-2cf2eca4b527
Fernández-Bandera, C. (Carlos)|||/items/50cb7ce6-2624-471a-ac5d-2da4e4bc57bb
author_role author
author2 Peppas, A. (Antonis)|||/items/d7ce0627-1c6b-43ae-8e70-2cf2eca4b527
Fernández-Bandera, C. (Carlos)|||/items/50cb7ce6-2624-471a-ac5d-2da4e4bc57bb
author2_role author
author
dc.contributor.none.fl_str_mv Dadun. Depósito Académico Digital Universidad de Navarra
dc.subject.none.fl_str_mv Building energy models (BEM)
HVAC
Calibration
Variable refrigerant flow (VRF)
Energy simulation
Genetic algorithm
Air conditioning (AC)
topic Building energy models (BEM)
HVAC
Calibration
Variable refrigerant flow (VRF)
Energy simulation
Genetic algorithm
Air conditioning (AC)
description Today, Building Energy Models (BEM) have become essential in regulatory compliance calculations, the correct assessment of it’s Air Conditioning (AC) systems is critical for the reduction of the performance gap between BEMs and reality and increase the accuracy of evaluating buildings energy performance and it’s systems efficiency. Given that multi-split Variable Refrigerant Flow (VRF) systems have grown in the market in recent years becoming a particular trending solution to achieve building indoor comfort; the present paper focus on technical issues when modelling such VRF systems inside EnergyPlus, a white- box simulation environment, especially regarding the effects weather conditions have on the behaviour of VRF systems and it’s correlation with the AC system performance curves. The study performs an empir- ical validation of an optimization-based calibration methodology assessing multiple levels: average inte- rior temperature of the different building spaces and electric energy consumption from VRF outdoor unit. It is performed using fifteen minute time-step seasonal data obtained from a fully operational building located in a typical Mediterranean climate (Greece), adjusting the parameter and curve values of the VRF system using a genetic NGSA-II algorithm (Jeplus software) for both summer and winter conditions. The generated BEM captures the building’s hourly performance for summer conditions using 1717 hours to fit into international standards. Complying with the requirements of the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) Guidelines 14-2002 for hourly energy consump- tion, reaching an NMBE 6–10% ,Cv(RMSE) 630% and R2 P75% while keeping indoor temperatures on every room with a RMSE 61 C. The resulting BEM proved stable during the 2077 hours of it’s summer evaluation period, fitting into the new unseen weather and building operation conditions of 2020 which can be considered a step forward in the area of calibrating white box models. While for winter conditions the study demonstrates the value of the calibration methodology while presenting the importance of weather influence on VRF systems. Using a total of 802 hours the applied technology greatly improves the results from the baseline model, reaching a partially calibrated BEM model for winter. Which rein- forces the fact that regardless of how good a baseline model is, building operating conditions and weather may will always generate a design/performance gap and therefore the calibration of a BEM is unavoidable.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-08-04
2022
2022-01-01
2022
2022-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10171/63864
url https://hdl.handle.net/10171/63864
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Dadun. Depósito Académico Digital de la Universidad de Navarra
instname:Universidad de Navarra
instname_str Universidad de Navarra
reponame_str Dadun. Depósito Académico Digital de la Universidad de Navarra
collection Dadun. Depósito Académico Digital de la Universidad de Navarra
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869418395476164608
score 15.301629

Similares en LA Referencia