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Description
鈥楥ities are on the frontlines of global climate change and their decision-makers are key actors driving global efforts to address climate change. Globally, buildings are responsible for 40% of carbon emissions. Urban Building Energy Models are critical data-driven tools for assessing options for delivering UN Sustainable Development Goal 11: making cities and human settlements inclusive, safe, resilient and sustainable.
This module provides an introduction to analysing and predicting building energy demand at the urban scale. You will learn the core concepts of Geospatial Information Systems and how to apply them to the representation and analysis of urban building energy data. 听
You will explore large urban data sets and by the end of the course will be able to evaluate and process geographic data from a wide range of sources to understand energy consumption and assess the impact of interventions at the urban scale. 听The core aims of the module are to
鈥� 听 听Understand potential urban data sources and their application to building energy models
鈥� 听 听Develop an ability to use geospatial information systems to manage urban data
鈥� 听 听Explore the complexity of urban data and introduce strategies for dealing with this
鈥� 听 听Develop an understanding of workflows to implement urban building energy models
You will need to have a basic understanding of building physics (such as that acquired from Term 1 MSc modules e.g. Fundamentals of Smart Energy and the Built Environment) with a good level of numeracy and computer literacy. 听No specific programming skills are required.鈥�
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Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 8th April 2024.
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