Morales Sandoval, Daniel
2024.
Modelling, control, and optimal power dispatch of integrated heat and electricity systems including low-carbon technologies.
PhD Thesis,
Cardiff University.
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Abstract
The urgent global need to mitigate climate change and transition to sustainable energy technologies has driven research into integrated energy systems (IESs). These systems exploit the synergies between energy networks (such as electricity and heat) to increase efficiency, reduce carbon emissions and meet growing energy demand. This thesis examines the key challenges and opportunities in the development and optimisation of integrated heat and electricity systems (IHESs), with a particular focus on the adoption of low-carbon technologies and dynamic modelling approaches. Based on a comprehensive literature review, the thesis identifies gaps and opportunities in the field of IESs, providing a framework for further research. Through a series of research questions, the thesis addresses critical issues such as cost-effective operation, the impact of thermal transients, and the practical implications of dynamic modelling in IHESs. The research includes the development of an optimisation framework adapted to IHESs that aims to minimise costs and carbon emissions while integrating renewable energy sources, energy storage units and low-carbon technologies. Real-world case studies, supported by historical data, provide insights into the effectiveness of this framework in reducing operating costs and improving environmental sustainability. Dynamic modelling and control of energy system components is essential for understanding and optimising the behaviour of IHESs. Mathematical models are developed to accurately represent the dynamic characteristics of fuel combustion boilers and thermal energy storage units. These models enable the design of effective control systems that contribute to the optimisation of IHESs operation. To bridge the gap between theoretical steady-state optimisation solutions and system dynamics, a dynamic verification methodology for optimising IHESs is introduced in the thesis. By incorporating slow transients and nonlinearities into the analysis, the methodology provides insights for practical decision-making in the operation of IHES. The findings presented in this research work contribute to the understanding and implementation of sustainable energy systems, with implications for policy-making and infrastructure planning in the transition to a low-carbon future.
Item Type: | Thesis (PhD) |
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Date Type: | Completion |
Status: | Unpublished |
Schools: | Engineering |
Uncontrolled Keywords: | 1). Integrated energy systems 2). Low-carbon technologies 3). Optimal power dispatch 4). Dynamic modelling 5). Control systems |
Date of First Compliant Deposit: | 10 December 2024 |
Last Modified: | 10 Dec 2024 14:16 |
URI: | https://orca.cardiff.ac.uk/id/eprint/174643 |
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