Modelling and control of high-temperature proton exchange membrane fuel cells for combined heat and power comfort applications
(English) In this thesis, a model predictive control-based energy management system for a specific house powered by a high temperature proton exchange membrane fuel cell is presented. Fuel cells and combined heat and power technologies are presented as a possible solution due to their ability to pro...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/692053 |
| Acceso en línea: | http://hdl.handle.net/10803/692053 https://dx.doi.org/10.5821/dissertation-2117-413582 |
| Access Level: | acceso abierto |
| Palabra clave: | Àrees temàtiques de la UPC::Energies 620 |
| Sumario: | (English) In this thesis, a model predictive control-based energy management system for a specific house powered by a high temperature proton exchange membrane fuel cell is presented. Fuel cells and combined heat and power technologies are presented as a possible solution due to their ability to provide both electrical and thermal energy more efficiently compared to traditional methods. Related to this, high temperature proton exchange membrane fuel cells offer the possibility of implementing combined heat and power systems, and they are also considered an efficient technology that emits less greenhouse gases. For this purpose, different models for the fuel cell are developed and analysed, until one suitable for simulation together with the other elements is selected. Models for elements in the whole combined heat and power system are designed and combined, that is, electrical battery, water accumulators, solar panel and electroliser. Solar panels have been included to feed an electroliser responsible of generating hydrogen for the fuel cell, while the electrical battery and a water accumulator have been implemented to ensure demand and thermal continuity along time, helping the fuel cell when dealing with abrupt demand changes. Additionally, grid connections have been allowed in case of punctual need, as well as a certain heat generation from electrical power. Simulation and control models of the system are presented, together with dimensions and energy profiles used. Control objectives and the proposed control algorithm are detailed, and the results when trying to match residential heat and power demands are discussed, while trying to ensure energy efficiency and reduce fuel cell degradation. Finally, a tuning process based on Pareto fronts is studied to prioritise some objectives above others and the global system results are obtained for a typical simulated house in different scenarios. These scenarios have been selected based on different periods of the year with different thermal demands and climatic conditions, affecting both demands and solar panel operation. |
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