Simulation of the future home energy management system
Publication Date
December 10, 2024
Creator
Abstract
As global energy trends move toward electrification, managing home energy efficiently has become a key research area. This involves studying the behaviour of household devices and systems like electric heaters, ground source heat pumps (GSHPs), water heaters, and electric stoves. Reliable energy management is important to ensure consistent energy supply and reduce wastage. This research aims to create models for different household energy systems and validate their accuracy.
This research employed a range of techniques to ensure the accuracy and reliability of data and models. Firstly, the reliability of the load and PV datasets was significantly improved after applying the KNN (K-Nearest Neighbors) and SVM-GMM (Support Vector Machine and Gaussian Mixture Model) algorithms. Secondly, through the creation and validation of models for several heat energy systems like electric heaters, GSHPs, water heaters, and electric stoves, a comprehensive understanding of these energy subsystems was achieved. Thirdly, the study showcased the potential of Markov Chain simulations in accurately representing the inherent randomness of electric vehicle (EV) operations. Strategic integration of Home Energy Management Systems (HEMS) in hybrid houses with gas heating was identified to optimize energy consumption, promoting cost efficiency. The research further highlighted the implications of household appliance electrification and EVs on domestic electricity consumption and its management. Importantly, an economic analysis underscored the feasibility of both traditional and ”all-electric” residential schemes, while also bringing to light the significant environmental considerations, particularly regarding greenhouse gas emissions.
Advanced models for energy systems, including electric heaters and GSHPs, were developed and validated. Implementing Home Energy Management Systems (HEMS) in hybrid houses showed potential in optimizing energy use, reducing costs, and aiding in the electrification of household appliances. Furthermore, the study highlights the economic feasibility and environmental impact, especially concerning greenhouse gas emissions, of traditional and ”all-electric” residential schemes. Lastly, the exploration of community-level energy strategies demonstrates the potential for enhanced energy utilization and economic efficiency.
This research provides a concrete foundation for future investigations in the field of household energy management. By integrating detailed energy sub-models, the study offers a comprehensive view of household energy dynamics, which can guide strategic energy management at both individual and community levels. Moreover, the insights into the economic and environmental impacts of different energy management approaches ensure a balance between economic feasibility and environmental responsibility. By addressing challenges and highlighting directions for future research, the findings contribute to global sustainability goals and evolving energy trends.
Item Type
ethesis
Thesis Type
PhD
Supervisors
Subjects (LC)
Associated Schools / Departments
Faculty of Engineering
eprints ID
78591
UoN Repository URI
Except where otherwise noted, this item's license is described as
File(s)![Thumbnail Image]()
Name
Hua Zhihao 20101269 the corrected version.pdf
Type
Full-text
Description
Examined. Thesis correction
Size
7.34 MB
Format
Adobe PDF
Checksum (MD5)
5c9cae17af90388a58153e8c08255535