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Adrian Bürger

Adrian Bürger

Adrian Bürger

Karlsruhe University of Applied Sciences
Faculty of Management Science and Engineering
Moltkestraße 30
76133 Karlsruhe
 
Phone: +49 (0)721 925-1956
Fax: +49 (0)721 925-1947

Research project

At the Faculty of Management Science and Engineering at Karlsruhe University of Applied Sciences, a system for solar cooling of the faculty building is put into operation. Core element is an adsorption cooling machine that uses heat supported by flat plate collectors and vacuum tube collectors to reduce the temperature of a coolant, while heat can be stored inside a warm water tank. Air conditioning is realised using fan coils that are supported with storable cool water, chilled down by the adsorption cooling machine. So far, the system control will only use current measurement data for adjusting the system settings to achieve the desired temperature.

Aim of the research project is the development and implementation of a model for optimal control of the system with Model Predictive Control (MPC) to generate prospective operational plans for adequately adjusting the room temperature to the performed activities, daytime, and season. To determine the optimal operating plans, measurement data (e. g. room temperature) and forecast data (e. g. weather forecast, expected number of people inside the room) shall be considered, while the optimality of the control shall i. a. be measured by the consumption of non-renewable energy which shall be minimized.

For this application, tools for automatic design and implementation of appropriate controllers that build upon and extend existing toolchains are being developed. Among those will be tools for automatic formulation and solving of Optimal Control problems, Parameter Estimation problems and Model-based Optimum Experimental Design problems for system models implemented in the Modelica language. For this, the CasADi optimization framework as well as the JModelica compiler will be used.

Keywords/Interests

Direct optimization methods, Newton-type optimization, Model Predictive Control, Model-based Optimum, Experimental Design, CasADi, Python, Modelica

Curriculum Vitae

Practical and scientific experience

Since 07/2014
Karlsruhe University of Applied Sciences

Faculty of Management Science and Engineering

Academic assistant of the mathematics/informaticssection

Since 10/2014
University of Freiburg
IMTEK, Faculty of Engineering

Systems Control and Optimization Laboratory

Academic assistant

Development of parameter estimation software within the HIGHWIND project

07/2013 - 06/2014
University of Heidelberg

Interdisciplinary Center for Scientific Computing

Student assistant

Continuative work on optimum experimental design software

03/2012 - 02/2013
Karlsruhe University of Applied Sciences

Faculty of Management Science and Engineering

Student assistant

Development of software tools used within Operations Research lectures

09/2010 - 02/2012
Siemens AG Karlsruhe

Business Excellence Department

Internship and working student

Data analysis and action planning within the fields of Lean Production, Continuous Improvement Processes and Value Stream Design

Studies

07/2013 - 06/2014
Karlsruhe University of Applied Sciences

Faculty of Management Science and Engineering

M.Sc. "Business Administration and Engineering"

Master's thesis: "Implementation of Matlab as a modelling language in VPLAN"

10/2008 - 02/2013
Karlsruhe University of Applied Sciences

Faculty of Management Science and Engineering

B.Sc. "Business Administration and Engineering"

Bachelor's thesis: "Optimum experimental design within the scope of Matlab"

 

by Florian Opitz last modified Mar 08, 2016 09:41 AM
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