Bottom-Up Model of Random Daily Electrical Load Curve for Office Building

In the design stage of energy systems in buildings, accurate load boundary conditions are the key to achieving energy supply and demand balance. Compared with the building cold and heat load, the generation of building electrical load has stronger randomness, and the current standard electrical load...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Sihan Cheng, Zhe Tian, Xia Wu, Jide Niu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	bottom-up electrical load Markov chain Monte Carlo Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/da9a2eb863864eb5b9ba6559ef79d71c
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:da9a2eb863864eb5b9ba6559ef79d71c
record_format	dspace
spelling	oai:doaj.org-article:da9a2eb863864eb5b9ba6559ef79d71c2021-11-11T15:24:55ZBottom-Up Model of Random Daily Electrical Load Curve for Office Building10.3390/app1121104712076-3417https://doaj.org/article/da9a2eb863864eb5b9ba6559ef79d71c2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10471https://doaj.org/toc/2076-3417In the design stage of energy systems in buildings, accurate load boundary conditions are the key to achieving energy supply and demand balance. Compared with the building cold and heat load, the generation of building electrical load has stronger randomness, and the current standard electrical load calculation method cannot reflect this feature. Therefore, this paper proposes a bottom-up high time resolution power load generation method for office buildings. Firstly, the non-homogeneous Markov chain is used to establish the random mobility model of personnel in office buildings, and the building electrical appliances are divided into four categories according to the different driving modes of personnel to electrical appliances in office buildings. Then, based on the personnel mobility model, the correlation between the use of electrical appliances in office buildings and the personnel in the room is established to construct the random power simulation model of different types of electrical appliances. Finally, the electric load of different types of electrical appliances is superimposed hourly to generate a random daily load curve. In order to verify the validity of the model, an office building is simulated and compared with the measured electrical load value. The verification results show that the model well reflects the daily distribution characteristics of electric load. The simulation value and the measured value are used for statistical analysis. The evaluation results show that the correlation between the simulation value and the measured value is high, which further illustrates the validity and accuracy of the model.Sihan ChengZhe TianXia WuJide NiuMDPI AGarticlebottom-upelectrical loadMarkov chainMonte CarloTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10471, p 10471 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	bottom-up electrical load Markov chain Monte Carlo Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	bottom-up electrical load Markov chain Monte Carlo Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Sihan Cheng Zhe Tian Xia Wu Jide Niu Bottom-Up Model of Random Daily Electrical Load Curve for Office Building
description	In the design stage of energy systems in buildings, accurate load boundary conditions are the key to achieving energy supply and demand balance. Compared with the building cold and heat load, the generation of building electrical load has stronger randomness, and the current standard electrical load calculation method cannot reflect this feature. Therefore, this paper proposes a bottom-up high time resolution power load generation method for office buildings. Firstly, the non-homogeneous Markov chain is used to establish the random mobility model of personnel in office buildings, and the building electrical appliances are divided into four categories according to the different driving modes of personnel to electrical appliances in office buildings. Then, based on the personnel mobility model, the correlation between the use of electrical appliances in office buildings and the personnel in the room is established to construct the random power simulation model of different types of electrical appliances. Finally, the electric load of different types of electrical appliances is superimposed hourly to generate a random daily load curve. In order to verify the validity of the model, an office building is simulated and compared with the measured electrical load value. The verification results show that the model well reflects the daily distribution characteristics of electric load. The simulation value and the measured value are used for statistical analysis. The evaluation results show that the correlation between the simulation value and the measured value is high, which further illustrates the validity and accuracy of the model.
format	article
author	Sihan Cheng Zhe Tian Xia Wu Jide Niu
author_facet	Sihan Cheng Zhe Tian Xia Wu Jide Niu
author_sort	Sihan Cheng
title	Bottom-Up Model of Random Daily Electrical Load Curve for Office Building
title_short	Bottom-Up Model of Random Daily Electrical Load Curve for Office Building
title_full	Bottom-Up Model of Random Daily Electrical Load Curve for Office Building
title_fullStr	Bottom-Up Model of Random Daily Electrical Load Curve for Office Building
title_full_unstemmed	Bottom-Up Model of Random Daily Electrical Load Curve for Office Building
title_sort	bottom-up model of random daily electrical load curve for office building
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/da9a2eb863864eb5b9ba6559ef79d71c
work_keys_str_mv	AT sihancheng bottomupmodelofrandomdailyelectricalloadcurveforofficebuilding AT zhetian bottomupmodelofrandomdailyelectricalloadcurveforofficebuilding AT xiawu bottomupmodelofrandomdailyelectricalloadcurveforofficebuilding AT jideniu bottomupmodelofrandomdailyelectricalloadcurveforofficebuilding
_version_	1718435396618027008

Bottom-Up Model of Random Daily Electrical Load Curve for Office Building

Ejemplares similares