Masterarbeit / Master Thesis: Integration of an external optimization module into an existing control logic for cooling systems

Cooling systems are the backbone of many industrial processes and modern buildings. Their efficiency decides on energy consumption, operating costs, and CO2 emissions. At etalytics, we develop data-driven software solutions that enable industrial companies to operate their energy systems more intelligently, efficiently, and sustainably.

In the context of this master's thesis, you will investigate how external optimization algorithms can be integrated into existing control logics for cooling systems with minimal integration effort – practically, future-oriented, and with real impact.

Tasks

Cooling systems are essential for numerous industrial applications, particularly in the process industry and building technology. The efficiency of the systems has a direct influence on energy consumption, operating costs, and CO2 emissions. Traditionally, cooling systems are controlled by complex decentralized or hierarchical control logics based on experience values. With the advent of data-driven methods and external optimization algorithms, there is the possibility to enhance existing control systems with intelligent optimizers to significantly improve overall performance.

The goal of this thesis is the conception and prototypical implementation of an interface for integrating an external optimization module into an existing control logic for cooling systems. In doing so, it should be investigated how the optimization can be integrated with minimal effort into the existing control system. The following criteria are to be considered in the investigation: stability of operation, efficiency of the cooling system, and integration effort.

• Analyze typical control logics for cooling systems, e.g., PID controllers as well as decentralized and hierarchical controls
• Identify relevant control levels and hierarchies in real cooling systems
• Develop an integration concept for integrating an external optimization module into existing control systems
• Evaluate different integration approaches with regard to stability, efficiency, and implementation effort
• Compare the system performance with and without optimizers based on clearly defined KPIs (e.g., energy consumption, costs, operating stability)
• Determine best practices for integrating external optimizers into complex control structures
• Investigate scalability and transferability of the results to other energy systems

Qualification

• Ongoing master's studies in the field of energy technology, electrical engineering, mechanical engineering, mechatronics, or a comparable major
• Interest in data-driven optimization methods and industrial applications
• Analytical thinking as well as structured, independent working style
• Very good German language skills and good English language skills in writing and speaking

Benefits

• Mission-driven work: Support industrial companies in becoming more efficient and sustainable
• Flexibility: Hybrid working with home office possibilities (two days per week) and flexible working hours
• Team spirit: A supportive, collegiate environment with plenty of room for exchange and cooperation
• Community: Regular team events and joint activities
• Excellent development opportunities and high autonomy in a growing team

Our office is located in Darmstadt near Frankfurt am Main, conveniently located with good connections to public transportation, the autobahn, and the airport. Join a highly motivated, international team!

Ready to make a move?

Send us your CV (PDF) together with your earliest possible start date.

We look forward to getting to know you and shaping the energy future together!

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