Integrated-Energy Modelling for Energy Efficiency and Sustainability in the Automotive Sector

Lead Research Organisation: University of Sheffield
Department Name: Mechanical Engineering

Abstract

The overarching aim of this research is to develop a software tool for automatically processing Point Cloud data and creating a Finite Volume Model (FVM) for Building Energy Modelling and Simulation (BEMS) with a focus on industrial buildings and factories. The software tool will require inputs of Point Cloud data, in a suitable format, captured from a time-of-flight laser scanner. The tool will produce a building geometry file, in a suitable format, that can be imported into industry leading BEMS software. The software will need to identify key building geometry features such as walls, floors, ceilings, windows and doors. In doing so the timescales required to perform BEMS will be significantly reduced compared with traditional BEMS workflows. This will be achieved with the following objectives;
1. Define optimal Point Cloud data resolution for generation of a BEMS FVM.
2. Detect primitive building structures, such as planes representing walls, floors and ceilings, for geometrical feature definition.
3. Identification of features within planes such as windows, doors and holes to enhance BEMS.
4. Process identified building features to form individual finite volumes for each room of a building in a FVM.
5. Convert FVM into appropriate format for use in commercially available BEMS software.
The potential application of this research is to considerably reduce the time taken to perform BEMS on buildings that are undergoing retrofit assessments by rapidly and automatically creating computer models suitable for engineering analysis. There is further future scope for this application to grow into automatically generating as-built Computer Aided Design (CAD) data for numerous applications, not just BEMS.
This will act to remove disincentives of the current BEMS workflow by reducing survey costs and minimising disruption to the building occupants and owners. This technology can contribute to the growing array of technology and practices that will help the UK meet its future environmental commitments.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509735/1 01/10/2016 30/09/2021
1793895 Studentship EP/N509735/1 01/10/2016 30/09/2019 Tom Garwood
 
Description Conducted a critical review of existing research and current state-of-the-art techniques to identify gaps in the existing knowledge base for this research to fill.
Generated a case study building energy model and followed manual validation methods.
Developed a method to process large digital survey dataset of case study building to automatically reconstruct geometry for Energy Modelling.
Compare energy model results using extracted building geometry against measured energy data from case study building to establish performance gap of technique.
Developed a LiDAR prototype for scanning applications.
Exploitation Route The research can be used to remove disincentives for high resolution urban scale building energy modelling for retrofit purposes.
Sectors Construction,Digital/Communication/Information Technologies (including Software),Energy,Environment