Energy demand modelling and demand-side management with detailed representations of consumer activities and behaviours
File(s)
Author(s)
Wang, Han
Type
Thesis
Abstract
Energy demand modelling and demand-side management (DSM) have been studied for years to accurately simulate energy consumption and explore energy-saving potentials. Recent research in the residential sector has further studied the impacts of consumer-related factors and electric vehicles (EV) on the performance of DSM. This thesis aims to improve energy demand modelling and DSM with detailed representations of consumer activities and behaviours, including four interrelated studies: (a) Design a framework to generate coordinated indoor residential loads and EV charging loads, integrating the connection between indoor and outdoor activities; (b) Test machine learning models for load profile generation, with novel features included to consider various influential demand factors; (c) Build a hybrid DSM optimisation model to integrate the connection between indoor and outdoor activities, as well as factors that influence demand, wherein the bias in the potential for improvement of DSM is additionally explored; (d) Design Stated Preference (SP) surveys and choice models to study consumers’ activity adaptation in DSM with a consideration of various influential factors.
This thesis offers four key contributions with regards to concept, data, methodology and application respectively: (a) Demonstrate the significance of three novel concepts in energy demand modelling and DSM, including the connection between indoor and outdoor activities, the nonlinear relationship between consumer activities and electricity consumption and various influential factors on consumer activity adaptations; (b) Capture new evidence on detailed activity profiles and the changes to consumer activity patterns in response to energy pricing policies through analysing multiple datasets and the pioneering application of SP survey in this domain; (c) Provide practical guidelines in building energy demand models and DSM that incorporate the three novel concepts; (d) Support policy-making through the application of designed frameworks and models in the impact analysis of EVs, the assessment of DSM, as well as time of use tariffs.
This thesis offers four key contributions with regards to concept, data, methodology and application respectively: (a) Demonstrate the significance of three novel concepts in energy demand modelling and DSM, including the connection between indoor and outdoor activities, the nonlinear relationship between consumer activities and electricity consumption and various influential factors on consumer activity adaptations; (b) Capture new evidence on detailed activity profiles and the changes to consumer activity patterns in response to energy pricing policies through analysing multiple datasets and the pioneering application of SP survey in this domain; (c) Provide practical guidelines in building energy demand models and DSM that incorporate the three novel concepts; (d) Support policy-making through the application of designed frameworks and models in the impact analysis of EVs, the assessment of DSM, as well as time of use tariffs.
Version
Open Access
Date Issued
2023-09-14
Date Awarded
01/01/2024
License URL
Advisor
Sivakumar, Aruna
Guo, Fangce
Krishnan, Rajesh
Publisher Department
Civil and Environmental Engineering
Publisher Institution
Imperial College London
Qualification Level
Doctoral
Qualification Name
Doctor of Philosophy (PhD)