The Use of Demand Modelling for Community Energy Analysis

McCallum, P., Patidar, S., Jenkins, D., Peacock, A., Robu, V., Andoni, M. and Flynn, D. (2018) The Use of Demand Modelling for Community Energy Analysis. In: 2018 IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, 27-30 May 2018, ISBN 9781538648810 (doi: 10.1109/ISCAS.2018.8351797)

Full text not currently available from Enlighten.

Abstract

In this paper the challenges of creating accurate, scalable and usable energy demand models are discussed, in the context of existing simulation and data driven energy demand models. Results from high resolution bottom-up data and simulation-based energy demand analysis from a community energy project are provided. A novel Hidden Markov Modelling and Generalised Pareto (HMM-GP) methodology for simulating synthetic electrical demand profiles is validated for residential buildings at a temporal resolution of five minutes. The corresponding dynamic thermal demands for the various building archetypes within the community are also modelled. This is achieved using automated externally driven IES-VE (building simulation) models for arrays of control profiles, and is also compared against in-situ thermal measurements.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Andoni, Dr Merlinda and Flynn, Professor David
Authors: McCallum, P., Patidar, S., Jenkins, D., Peacock, A., Robu, V., Andoni, M., and Flynn, D.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Proceedings - IEEE International Symposium on Circuits and Systems
ISSN:2379-447X
ISBN:9781538648810
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record