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Energy Data Analytics in the Built Environment (BENV0092)

Key information

Faculty
Faculty of the Built Environment
Teaching department
Bartlett School of Environment, Energy and Resources
Credit value
15
Restrictions
This module is compulsory for students taking MSc Energy Systems and Data Analytics students only.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module is dedicated to teaching students about energy use in the Built Environment and how advanced analytics can be used to understand, predict and influence this demand. The content of the module will be built around four themes; services, fabric, people and scale. Each theme covers a different dimension of energy use in the built environment using associated data. Services will detail the many different services for which energy is required, heating, lighting, etc and introduces Non-Intrusive Load Monitoring as a way of using advanced analytics to better understand this area. Fabric discusses the influence of building materials on a building’s energy performance and the potential impacts of retrofitting and refurbishment. People’s occupancy and behavioural patterns significantly affect both the quantity and the temporal variation of energy demand and smart meter data will be used to illustrate this variation. Finally, scale will concentrate on the different resolutions at which energy use in the Built Environment can be studied; from an individual building to an entire city and the complexities and challenges involved. Combining these four themes and how they interact will give you a rich understanding of energy use in the built environment.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
100% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
55
Module leader
Dr Despina Manouseli
Who to contact for more information
bseer-studentqueries@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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