Geometry extraction for high resolution building energy modelling applications from Point Cloud data: a case study of a factory facility

Tom Lloyd Garwood; Ben Richard Hughes; Dominic O'Connor; John K Calautit; Michael R Oates; Thomas Hodgson

doi:10.1016/j.egypro.2017.12.567

Geometry extraction for high resolution building energy modelling applications from Point Cloud data: a case study of a factory facility

Tom Lloyd Garwood, Ben Richard Hughes, Dominic O'Connor, John K Calautit, Michael R Oates, Thomas Hodgson

Mechanical And Aerospace Engineering

Research output: Contribution to journal › Conference article › peer-review

4 Citations (Scopus)

10 Downloads (Pure)

Abstract

The industrial sector accounts for 17% of end-use energy in the UK, and 54% globally. Therefore, there is substantial scope for simulating and assessing potential energy retrofit options for industrial buildings. Building Energy Modelling (BEM) applied to industrial buildings poses a complex but important opportunity for reducing global energy demand, due to years of renovation and expansion. Large and complex industrial buildings make modelling existing geometry for BEM difficult and time consuming. This paper presents a potential solution for quickly capturing and processing as-built geometry of a factory to be utilized in BEM. Laser scans were captured from the interior of an industrial facility to produce a Point Cloud. The existing capabilities of a Point Cloud processing software were assessed to identify the potential development opportunities to automate the conversion of Point Clouds to building geometry for BEM applications. In conclusion, scope exists for increasing the speed of 3D geometry creation of an existing industrial building for application in BEM and subsequent thermal simulation.

Original language	English
Pages (from-to)	1805-1810
Number of pages	6
Journal	Energy Procedia
Volume	142
DOIs	https://doi.org/10.1016/j.egypro.2017.12.567
Publication status	Published - 31 Dec 2017
Event	9th International Conference on Applied Energy, ICAE 2017 - Cardiff, United Kingdom Duration: 21 Aug 2017 → 24 Aug 2017

Keywords

building energy modelling
industrial energy demand
manufacturing
Point Cloud
thermal simulation

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Garwood-etal-EP-2017-Geometry-extraction-for-high-resolution-building-energy-modelling-applicationsFinal published version, 1.07 MBLicence: CC BY-NC-ND 4.0

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title = "Geometry extraction for high resolution building energy modelling applications from Point Cloud data: a case study of a factory facility",

abstract = "The industrial sector accounts for 17% of end-use energy in the UK, and 54% globally. Therefore, there is substantial scope for simulating and assessing potential energy retrofit options for industrial buildings. Building Energy Modelling (BEM) applied to industrial buildings poses a complex but important opportunity for reducing global energy demand, due to years of renovation and expansion. Large and complex industrial buildings make modelling existing geometry for BEM difficult and time consuming. This paper presents a potential solution for quickly capturing and processing as-built geometry of a factory to be utilized in BEM. Laser scans were captured from the interior of an industrial facility to produce a Point Cloud. The existing capabilities of a Point Cloud processing software were assessed to identify the potential development opportunities to automate the conversion of Point Clouds to building geometry for BEM applications. In conclusion, scope exists for increasing the speed of 3D geometry creation of an existing industrial building for application in BEM and subsequent thermal simulation.",

keywords = "building energy modelling, industrial energy demand, manufacturing, Point Cloud, thermal simulation",

author = "Garwood, {Tom Lloyd} and Hughes, {Ben Richard} and Dominic O'Connor and Calautit, {John K} and Oates, {Michael R} and Thomas Hodgson",

year = "2017",

month = dec,

day = "31",

doi = "10.1016/j.egypro.2017.12.567",

language = "English",

volume = "142",

pages = "1805--1810",

journal = "Energy Procedia",

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T1 - Geometry extraction for high resolution building energy modelling applications from Point Cloud data

T2 - 9th International Conference on Applied Energy, ICAE 2017

AU - Garwood, Tom Lloyd

AU - Hughes, Ben Richard

AU - O'Connor, Dominic

AU - Calautit, John K

AU - Oates, Michael R

AU - Hodgson, Thomas

PY - 2017/12/31

Y1 - 2017/12/31

N2 - The industrial sector accounts for 17% of end-use energy in the UK, and 54% globally. Therefore, there is substantial scope for simulating and assessing potential energy retrofit options for industrial buildings. Building Energy Modelling (BEM) applied to industrial buildings poses a complex but important opportunity for reducing global energy demand, due to years of renovation and expansion. Large and complex industrial buildings make modelling existing geometry for BEM difficult and time consuming. This paper presents a potential solution for quickly capturing and processing as-built geometry of a factory to be utilized in BEM. Laser scans were captured from the interior of an industrial facility to produce a Point Cloud. The existing capabilities of a Point Cloud processing software were assessed to identify the potential development opportunities to automate the conversion of Point Clouds to building geometry for BEM applications. In conclusion, scope exists for increasing the speed of 3D geometry creation of an existing industrial building for application in BEM and subsequent thermal simulation.

AB - The industrial sector accounts for 17% of end-use energy in the UK, and 54% globally. Therefore, there is substantial scope for simulating and assessing potential energy retrofit options for industrial buildings. Building Energy Modelling (BEM) applied to industrial buildings poses a complex but important opportunity for reducing global energy demand, due to years of renovation and expansion. Large and complex industrial buildings make modelling existing geometry for BEM difficult and time consuming. This paper presents a potential solution for quickly capturing and processing as-built geometry of a factory to be utilized in BEM. Laser scans were captured from the interior of an industrial facility to produce a Point Cloud. The existing capabilities of a Point Cloud processing software were assessed to identify the potential development opportunities to automate the conversion of Point Clouds to building geometry for BEM applications. In conclusion, scope exists for increasing the speed of 3D geometry creation of an existing industrial building for application in BEM and subsequent thermal simulation.

KW - building energy modelling

KW - industrial energy demand

KW - manufacturing

KW - Point Cloud

KW - thermal simulation

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DO - 10.1016/j.egypro.2017.12.567

M3 - Conference article

AN - SCOPUS:85041534324

SN - 1876-6102

VL - 142

SP - 1805

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JO - Energy Procedia

JF - Energy Procedia

Y2 - 21 August 2017 through 24 August 2017

ER -

Geometry extraction for high resolution building energy modelling applications from Point Cloud data: a case study of a factory facility

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Keywords

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