Developing spatially disaggregated building stock energy model of England & Wales residential sector

Hossain, Adnan 2024. Developing spatially disaggregated building stock energy model of England & Wales residential sector. PhD Thesis, Cardiff University. Item availability restricted.

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Abstract

This research addresses the lack of spatially disaggregated building stock energy models for England and Wales. Aiming to reduce residential energy usage, it explores data sources and development methods for creating a spatially disaggregated energy model and applies it to inform future energy policy. The study answers three main research questions: 1. What is the data available that can be used and how can these datasets be integrated to develop a spatially disaggregated building stock energy model? 2. What is the best refurbishment technique for reduction of domestic energy usage? 3. What is the scope of the application of spatially disaggregated building stock energy models in the reduction of domestic energy usage? A literature review examines existing housing stock data and models, identifying gaps and proposing a robust method for spatially disaggregated housing stock energy model. The developed model offers several key advantages: it enables a detailed evaluation of the impact of various building elements on energy consumption through a physics-based approach. It also features automated geometry development, eliminating the need for manual create geometry, and uses CSV file formats for inputs and outputs, enhancing its applicability. This enables the model to calculate energy consumption for all observations in a surveyed building stock dataset, thus ensures greater accuracy compared to archetypal models. By applying the model to various retrofitting scenarios, the research identifies that retrofitting reduces energy consumption while upgrading the housing stock. However, it was also observed that climate change could lead to an increase in indoor air temperatures, potentially introducing new energy demands for summer cooling. The spatial disaggregation of results at the Middle Layer Super Output Area (MSOA) level revealed variability in carbon reduction across different MSOAs. These findings can help prioritize MSOAs with higher carbon reduction potential for refurbishments, aiding local authorities in implementing their net zero strategic plans hierarchically. The research contributes to knowledge by automating geometry development within model, enabling broader applicability, evaluating diverse retrofitting measures and mapped outcomes at MSOA level for practical application.

Item Type:	Thesis (PhD)
Date Type:	Completion
Status:	Unpublished
Schools:	Engineering
Uncontrolled Keywords:	1) Building stock 2) Energy model 3) Spatial disaggregation 4) England 5) Wales 6) Residential
Date of First Compliant Deposit:	15 November 2024
Last Modified:	15 Nov 2024 10:42
URI:	https://orca.cardiff.ac.uk/id/eprint/173980

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