Abstract
The industrial sector accounts for 17% of end-use energy in the United Kingdom, and 54% globally. Therefore, there is substantial scope to accurately simulate and efficiently assess potential energy retrofit options for industrial buildings to lower end use energy. Due to potentially years of facility renovation and expansion Building Energy Modelling, also called Building Energy Simulation, applied to industrial buildings poses a complex challenge; but it is an important opportunity for reducing global energy demand especially considering the increase of readily available computational power compared with a few years ago. Large and complex industrial buildings make modelling existing geometry for Building Energy Modelling difficult and time consuming which impacts analysis workflow and assessment options available within reasonable budgets. This research presents a potential framework for quickly capturing and processing as-built geometry of a factory, or other large scale buildings, to be utilised in Building Energy Modelling by storing the geometry in a green building eXtensible Mark-up Language (gbXML) format, which is compatible with most commercially available Building Energy Modelling tools. 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 and previous research were assessed to identify the potential development opportunities to automate the conversion of Point Clouds to building geometry for Building Energy Modelling applications. This led to the novel identification of a framework for storing the building geometry in the gbXML format and plans for verification of a future Point Cloud processing solution. This resulted in a sample Point Cloud, of a portion of a building, being converted into a gbXML model that met the validation requirements of the gbXML definition schema. In conclusion, an opportunity exists for increasing the speed of 3D geometry creation of existing industrial buildings for application in BEM and subsequent thermal simulation.
Highlights
In 2012 the end-use energy by industry accounted for 54% of all delivered end-use energy globally [1]; in 2015 this value was 17% for the United Kingdom (UK) [2]
The existing capabilities of a Point Cloud processing software and previous research were assessed to identify the potential development opportunities to automate the conversion of Point Clouds to building geometry for Building Energy Modelling applications
This paper considers a full building envelope including internal room and floor layout
Summary
In 2012 the end-use energy by industry accounted for 54% of all delivered end-use energy globally [1]; in 2015 this value was 17% for the United Kingdom (UK) [2]. One method of achieving these energy savings is to utilise Building Energy Modelling (BEM) software such as Integrated Environmental Solutions (IES) Virtual Environment (VE) [5], EnergyPlus [6] and DesignBuilder [7] to name a few. This type of software is capable of simulating a thermal model of a building in order to establish the energy use profile. Interventions can be proposed to reduce energy use whilst at the same time ensuring occupant comfort. Onsite measurement of geometry for manual modelling can be cost and time prohibitive as alluded to by Ascione et al [10]
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