Stochastic models for building energy prediction based on occupant behavior assessment

Rui Neves-silva, DEE Group Author

Research output: Contribution to journalArticle

110 Citations (Scopus)

Abstract

Buildings worldwide account for a surprisingly high 40% of global energy consumption and produce an increasingly large carbon footprint. Future sustainability of the building sector is therefore strongly dependent on the installation of energy efficient technologies. However, even though these technologies are becoming more and more efficient, human behavior still plays a very important role in the overall building energy consumption. In this paper, a model for occupant behavior within the building in relation to energy consumption, along with a building energy consumption model is proposed based on stochastic Markov models. The energy consumption model is used to predict possible energy saving gains from building retrofitting projects. The objective is to ensure the return on investment from these projects. The obtained results demonstrate that the proposed energy consumption model learns occupant behavioral patterns from the building. Additionally, it reliably reproduces them, predicts the building energy consumption and identifies potential areas of energy waste. (C) 2012 Elsevier B.V. All rights reserved.
Original languageUnknown
Pages (from-to)183-193
JournalEnergy and Buildings
Volume53
Issue numberNA
DOIs
Publication statusPublished - 1 Jan 2012

Cite this

@article{2c329076cb334afc93496f1a925b4a2d,
title = "Stochastic models for building energy prediction based on occupant behavior assessment",
abstract = "Buildings worldwide account for a surprisingly high 40{\%} of global energy consumption and produce an increasingly large carbon footprint. Future sustainability of the building sector is therefore strongly dependent on the installation of energy efficient technologies. However, even though these technologies are becoming more and more efficient, human behavior still plays a very important role in the overall building energy consumption. In this paper, a model for occupant behavior within the building in relation to energy consumption, along with a building energy consumption model is proposed based on stochastic Markov models. The energy consumption model is used to predict possible energy saving gains from building retrofitting projects. The objective is to ensure the return on investment from these projects. The obtained results demonstrate that the proposed energy consumption model learns occupant behavioral patterns from the building. Additionally, it reliably reproduces them, predicts the building energy consumption and identifies potential areas of energy waste. (C) 2012 Elsevier B.V. All rights reserved.",
author = "Rui Neves-silva and {DEE Group Author}",
year = "2012",
month = "1",
day = "1",
doi = "10.1016/j.enbuild.2012.06.001",
language = "Unknown",
volume = "53",
pages = "183--193",
journal = "Energy and Buildings",
issn = "0378-7788",
publisher = "Elsevier Science B.V., Amsterdam.",
number = "NA",

}

Stochastic models for building energy prediction based on occupant behavior assessment. / Neves-silva, Rui; DEE Group Author.

In: Energy and Buildings, Vol. 53, No. NA, 01.01.2012, p. 183-193.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Stochastic models for building energy prediction based on occupant behavior assessment

AU - Neves-silva, Rui

AU - DEE Group Author

PY - 2012/1/1

Y1 - 2012/1/1

N2 - Buildings worldwide account for a surprisingly high 40% of global energy consumption and produce an increasingly large carbon footprint. Future sustainability of the building sector is therefore strongly dependent on the installation of energy efficient technologies. However, even though these technologies are becoming more and more efficient, human behavior still plays a very important role in the overall building energy consumption. In this paper, a model for occupant behavior within the building in relation to energy consumption, along with a building energy consumption model is proposed based on stochastic Markov models. The energy consumption model is used to predict possible energy saving gains from building retrofitting projects. The objective is to ensure the return on investment from these projects. The obtained results demonstrate that the proposed energy consumption model learns occupant behavioral patterns from the building. Additionally, it reliably reproduces them, predicts the building energy consumption and identifies potential areas of energy waste. (C) 2012 Elsevier B.V. All rights reserved.

AB - Buildings worldwide account for a surprisingly high 40% of global energy consumption and produce an increasingly large carbon footprint. Future sustainability of the building sector is therefore strongly dependent on the installation of energy efficient technologies. However, even though these technologies are becoming more and more efficient, human behavior still plays a very important role in the overall building energy consumption. In this paper, a model for occupant behavior within the building in relation to energy consumption, along with a building energy consumption model is proposed based on stochastic Markov models. The energy consumption model is used to predict possible energy saving gains from building retrofitting projects. The objective is to ensure the return on investment from these projects. The obtained results demonstrate that the proposed energy consumption model learns occupant behavioral patterns from the building. Additionally, it reliably reproduces them, predicts the building energy consumption and identifies potential areas of energy waste. (C) 2012 Elsevier B.V. All rights reserved.

U2 - 10.1016/j.enbuild.2012.06.001

DO - 10.1016/j.enbuild.2012.06.001

M3 - Article

VL - 53

SP - 183

EP - 193

JO - Energy and Buildings

JF - Energy and Buildings

SN - 0378-7788

IS - NA

ER -