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Master in Energy Science and Technology

AcronymMEST
Homepagehttp://www.master-energy.ethz.ch/
CountrySwitzerland
ZIP, City 
Address
Phone
TypeAcademy
Top-level organizationETH Zurich
Parent organizationRectorate
Current organizationMaster in Energy Science and Technology
Members
  • Urban Energy Systems
  • Institute of Technology in Architecture
  • Laboratory for Energy Systems Analysis
  • Sustainability and Technology Group
  • Automatic Control Laboratory
  • ETH Competence Center - Energy Science Center (ESC)


Open Opportunities

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Tuning of Online Feedback Optimisation Controllers for Process Control

  • ETH Zurich
  • Automatic Control Laboratory

Designing controllers for industrial systems, such as compressor stations or energy distribution networks, is usually challenging because of the complexity of the processes that are involved. A lot of existing controllers require solving difficult constrained optimization problems to find the optimal operating point. Online Feedback Optimization is a method for steering a nonlinear system to the solution of an optimization problem without explicitly solving nonlinear constrained optimization problems. It can be used to optimally share the load between gas compressors, optimally curtail renewable energy if necessary, or generally to operate a physical system at the optimal solution of an optimization problem. The idea behind this project is to analyze how Online Feedback Optimization should be implemented to facilitate its use in industry and expand the range of possible applications. Online Feedback Optimization as a novel control method has recently gained traction in several research communities, is investigated by companies, and deployed in the European power grid. Even though it is now used in both industry and academia, the tuning of its parameters still requires in-depth knowledge of the method and characteristics of the physical system. By analysing the impact of tuning on the performance of the controlled system, the semester project will bridge the gap between the theory of feedback optimization and its implementation.

  • Electrical and Electronic Engineering, Process Control and Simulation
  • Bachelor Thesis, Semester Project

Development of a supervised ml model for occupant detection in smart buildings

  • Empa
  • Urban Energy Systems

A robust, grey-box approach for occupant detection based on indoor air quality data is developed, using previous development and Empa NEST's infrastructure.

  • Architecture, Urban Environment and Building, Information, Computing and Communication Sciences
  • Semester Project

Integration of small-scale data centers in multi-energy building systems

  • Empa
  • Urban Energy Systems

Small-scale data centers will considerably grow due to an increase in edge computing and real-time data through IOT sensors. They can be operated flexibly to match intermittent renewable energy generation and building energy demand. As such this provides interesting opportunities for the operation of multi-energy systems at the building level. This master project covers the topic of small-scale edge data centers (below 250 kW) in the context of multi-energy systems. It aims to evaluate different design concepts for the efficient implementation of small-scale data centers in buildings using the Ehub tool.

  • Engineering and Technology
  • Master Thesis

Software Engineer for urban energy system modelling (20% or more, paid position)

  • Empa
  • Urban Energy Systems

We are looking for a software engineer to develop and maintain an MILP based energy system optimization library in an interdisciplinary team.

  • Engineering and Technology, Mathematics, Other Mathematical Sciences
  • Student Assistant / HiWi

Flexibility assessment of small-scale data centers in multi-energy districts

  • Empa
  • Urban Energy Systems

Small-scale data centers will considerably grow due to an increase in edge computing and real-time data through IOT sensors. They can be operated flexibly to match intermittent renewable energy generation and building energy demand. As such this provides interesting opportunities for the operation of multi-energy systems at the building and district level.

  • Engineering and Technology
  • Master Thesis, Semester Project

Intern: Modelling and parameterization of waste incineration plant including carbon capture and storage (paid position)

  • Empa
  • Urban Energy Systems

We are looking for an intern to strengthen our energy hub modelling team on modelling and parameteriza-tion of waste incineration plants including carbon capture and storage.

  • Architecture, Urban Environment and Building, Engineering and Technology
  • Internship

PERFORMANCE INTEGRATED AM FACADES: EXPERIMENTAL TESTING OF 3D PRINTED STRUCTURES FOR THERMAL INSULATION

  • ETH Zurich
  • Chair of Architecture and Building Systems

Facades are the main interface controlling the flow of energy and matter in buildings and are required to be efficient integrated components. Digital fabrication offers unseen potentials for geometrical freedom and performance integration, which are relevant for application in the building envelope.

  • Architecture, Urban Environment and Building, Engineering and Technology
  • Master in Integrated Building Systems (ETHZ), Master Thesis, Semester Project

PERFORMANCE INTEGRATED AM FACADES: THERMO-OPTICAL CHARACTERISATION OF 3D PRINTED TRANSLUCENT FACADES

  • ETH Zurich
  • Chair of Architecture and Building Systems

Current trends in digital fabrication highlight its potentials for geometrical freedom and performance integration for application in building facades. Recently, large-scale polymer 3D printing has proven to be a promising technique for the manufacturing of translucent envelope components.

  • Architecture, Urban Environment and Building, Engineering and Technology
  • Master in Integrated Building Systems (ETHZ), Master Thesis, Semester Project

Tuning of data-driven controllers for building climate control

  • ETH Zurich
  • Automatic Control Laboratory

Energy consumption in buildings accounts for over 30% of worldwide energy consumption. Mitigating energy consumption is typically done by improving operation of heating and cooling systems in buildings. However, there is limited analysis of implementation and tuning of data-driven controllers, which prevents their wide use. This project addresses the challenges related to tuning of data-driven controllers for implementation.

  • Electrical and Electronic Engineering
  • Master Thesis, Semester Project

Performance of nonlinear data-driven control on smart buildings

  • ETH Zurich
  • Automatic Control Laboratory

Data-driven control of nonlinear systems is a hot, exciting new field. Can it perform as well as model-based control? In this thesis, you get to find out by doing experiments on a smart apartment.

  • Civil Engineering, Electrical Engineering
  • Master Thesis, Semester Project
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