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Distributed Model Predictive Control in building energy hubs
The aim of this work is to develop and implement a distributed Model Predictive Control strategy to control an energy hub at NEST building at Empa in Dübendorf, where different energy prosumers negotiate energy consumption and production.
Keywords: distributed model predictive control, energy hub control, building energy systems, district energy systems
Buildings are responsible for 40% of the primary energy consumption in Switzerland and for roughly one third in all other OECD countries. Improving the energy efficiency of buildings, for example through advanced control strategies, therefore has a significantly positive impact on the mitigation of climate change.
In the future, building and district energy systems will consists of different agents that consume and produce different forms of energy (for example electricity, heat or gas) and are connected to each other. The control of such systems requires cooperation between the agents in order to guarantee stable and efficient operation. A common approach in literature in distributed model predictive control.
In this project, such a control approach should be developed for two or more agents of the Nest building at Empa in Dübendorf. The two agents could for example be the central heat pump with warm water storage and a unit that consumes heat but also provides electricity via PV panels. Models for different entities of the building are already available, but could be extended by the student. A cooperative control approach, for example distributed MPC should be implemented and validated on a model of the building. If successful, the approach can be tested on the real Nest building.
Buildings are responsible for 40% of the primary energy consumption in Switzerland and for roughly one third in all other OECD countries. Improving the energy efficiency of buildings, for example through advanced control strategies, therefore has a significantly positive impact on the mitigation of climate change.
In the future, building and district energy systems will consists of different agents that consume and produce different forms of energy (for example electricity, heat or gas) and are connected to each other. The control of such systems requires cooperation between the agents in order to guarantee stable and efficient operation. A common approach in literature in distributed model predictive control.
In this project, such a control approach should be developed for two or more agents of the Nest building at Empa in Dübendorf. The two agents could for example be the central heat pump with warm water storage and a unit that consumes heat but also provides electricity via PV panels. Models for different entities of the building are already available, but could be extended by the student. A cooperative control approach, for example distributed MPC should be implemented and validated on a model of the building. If successful, the approach can be tested on the real Nest building.
The output of this thesis should be an implementation of the above named approach (or an equivalent alternative for two or more agents at the Nest building at Empa – and if time permits an experimental validation of the approach.
The output of this thesis should be an implementation of the above named approach (or an equivalent alternative for two or more agents at the Nest building at Empa – and if time permits an experimental validation of the approach.
Please send a transcript of courses, including grades and courses in progress, and a CV to
Mathias Hudoba de Badyn (mbadyn@control.ee.ethz.ch)
Mohammad Khosravi (khosravm@control.ee.ethz.ch)
Felix Bünning (Felix.Buenning@empa.ch)
Please send a transcript of courses, including grades and courses in progress, and a CV to
Mathias Hudoba de Badyn (mbadyn@control.ee.ethz.ch)