| Autor: |
Rafii-Tabrizi, Sasan |
| Přispěvatelé: |
University of Luxembourg - UL [sponsor], Hadji-Minaglou, Jean-Régis [superviser], Scholzen, Frank [president of the jury], Capitanescu, Florin [member of the jury], Maas, Stefan [member of the jury], Kobou Ngani, Patrick [member of the jury] |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Popis: |
The European Union (EU) intends to reduce the greenhouse gas emissions to 80-95 % below 1990 levels by 2050. To achieve this goal, the EU focuses on higher energy efficiency mainly within the building sector and a share of renewable energy sources (RES) of around 30 % in gross final energy consumption by 2030. In this context, the concept of nearly zero-energy buildings (nZEB) is both an emerging and relevant research area. Balancing energy consumption with on-site renewable energy production in a cost-effective manner requires to develop suitable energy management systems (EMS) using demandside management strategies. This thesis develops an EMS using certainty equivalent (CE) economic model predictive control (EMPC) to optimally operate the building energy system with respect to varying electricity prices. The proposed framework is a comprehensive mixed integer linear programming model that uses suitable linearised grey box models and purely data-driven model approaches to describe the system dynamics. For this purpose, a laboratory prototype is available, which is capable of covering most building-relevant types of energy, namely thermal and electrical energy. Thermal energy for space heating, space cooling and domestic hot water is buffered in thermal energy storage systems. A dual source heat pump provides thermal energy for space heating and domestic hot water, whereas an underground ice storage covers space cooling. The environmental energy sources of the heat pump are ice storage or wind infrared sensitive collectors. The collectors are further used to regenerate the ice storage. Photovoltaic panels produce electrical energy which can be stored in a battery storage system. The electrical energy system is capable of selling and buying electricity from the public power grid. The laboratory test bench interacts with a virtual building model which is integrated into the building simulation software TRNSYS Simulation Studio. The EMS prototype is tested and validated on the basis of various simulations and under close to real-life laboratory conditions. The different test scenarios are generated using the typical day approach for each season. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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