Dynamic Simulation-Based Surrogate Model for the Dimensioning of Building Energy Systems

In recent decades, building design and operation have been an important field of study, due to the significant share of buildings in global primary energy consumption and the time that most people spend indoors. As such, multiple studies focus on aspects of building energy consumption and occupant c...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Leonidas Zouloumis, Georgios Stergianakos, Nikolaos Ploskas, Giorgos Panaras
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	surrogate model energy systems optimization dynamic simulation thermal system dimensioning degree hour discomfort Technology T
Acceso en línea:	https://doaj.org/article/9e02802f92c343f393ee92d7ac467a47
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:9e02802f92c343f393ee92d7ac467a47
record_format	dspace
spelling	oai:doaj.org-article:9e02802f92c343f393ee92d7ac467a472021-11-11T15:55:42ZDynamic Simulation-Based Surrogate Model for the Dimensioning of Building Energy Systems10.3390/en142171411996-1073https://doaj.org/article/9e02802f92c343f393ee92d7ac467a472021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7141https://doaj.org/toc/1996-1073In recent decades, building design and operation have been an important field of study, due to the significant share of buildings in global primary energy consumption and the time that most people spend indoors. As such, multiple studies focus on aspects of building energy consumption and occupant comfort optimization. The scientific community has discerned the importance of operation optimization through retrofitting actions for on-site building energy systems, achieved by the use of simulation techniques, surrogate modeling, as well as the guidance of existing building performance and indoor occupancy standards. However, more knowledge should be attained on the matter of whether this methodology can be extended towards the early stages of thermal system and/or building design. To this end, the present study provides a building thermal system design optimization methodology. A data set of minimum thermal system power, for a typical range of building characteristics, is generated, according to the criterion of occupant discomfort in degree hours. Respectively, a surrogate model, providing a configurable correlation of the above set of thermal system dimensioning solutions is developed, using regression model fitting techniques. Computational results indicate that such a model could provide both desirable calculative simplification and accuracy on par with existing respective thermal load calculation standards and simplified system dimensioning methods.Leonidas ZouloumisGeorgios StergianakosNikolaos PloskasGiorgos PanarasMDPI AGarticlesurrogate modelenergy systemsoptimizationdynamic simulationthermal system dimensioningdegree hour discomfortTechnologyTENEnergies, Vol 14, Iss 7141, p 7141 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	surrogate model energy systems optimization dynamic simulation thermal system dimensioning degree hour discomfort Technology T
spellingShingle	surrogate model energy systems optimization dynamic simulation thermal system dimensioning degree hour discomfort Technology T Leonidas Zouloumis Georgios Stergianakos Nikolaos Ploskas Giorgos Panaras Dynamic Simulation-Based Surrogate Model for the Dimensioning of Building Energy Systems
description	In recent decades, building design and operation have been an important field of study, due to the significant share of buildings in global primary energy consumption and the time that most people spend indoors. As such, multiple studies focus on aspects of building energy consumption and occupant comfort optimization. The scientific community has discerned the importance of operation optimization through retrofitting actions for on-site building energy systems, achieved by the use of simulation techniques, surrogate modeling, as well as the guidance of existing building performance and indoor occupancy standards. However, more knowledge should be attained on the matter of whether this methodology can be extended towards the early stages of thermal system and/or building design. To this end, the present study provides a building thermal system design optimization methodology. A data set of minimum thermal system power, for a typical range of building characteristics, is generated, according to the criterion of occupant discomfort in degree hours. Respectively, a surrogate model, providing a configurable correlation of the above set of thermal system dimensioning solutions is developed, using regression model fitting techniques. Computational results indicate that such a model could provide both desirable calculative simplification and accuracy on par with existing respective thermal load calculation standards and simplified system dimensioning methods.
format	article
author	Leonidas Zouloumis Georgios Stergianakos Nikolaos Ploskas Giorgos Panaras
author_facet	Leonidas Zouloumis Georgios Stergianakos Nikolaos Ploskas Giorgos Panaras
author_sort	Leonidas Zouloumis
title	Dynamic Simulation-Based Surrogate Model for the Dimensioning of Building Energy Systems
title_short	Dynamic Simulation-Based Surrogate Model for the Dimensioning of Building Energy Systems
title_full	Dynamic Simulation-Based Surrogate Model for the Dimensioning of Building Energy Systems
title_fullStr	Dynamic Simulation-Based Surrogate Model for the Dimensioning of Building Energy Systems
title_full_unstemmed	Dynamic Simulation-Based Surrogate Model for the Dimensioning of Building Energy Systems
title_sort	dynamic simulation-based surrogate model for the dimensioning of building energy systems
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9e02802f92c343f393ee92d7ac467a47
work_keys_str_mv	AT leonidaszouloumis dynamicsimulationbasedsurrogatemodelforthedimensioningofbuildingenergysystems AT georgiosstergianakos dynamicsimulationbasedsurrogatemodelforthedimensioningofbuildingenergysystems AT nikolaosploskas dynamicsimulationbasedsurrogatemodelforthedimensioningofbuildingenergysystems AT giorgospanaras dynamicsimulationbasedsurrogatemodelforthedimensioningofbuildingenergysystems
_version_	1718432873064693760

Dynamic Simulation-Based Surrogate Model for the Dimensioning of Building Energy Systems

Ejemplares similares