Master Thesis Data-Driven Identification and Forecasting of Thermal Flexibility in Residential Heat Pump Systems

Robert Bosch Group; Deutschland; Hybrid; EUR 17.000 - 23.000; Vollzeit

Zusammenfassung

Robert Bosch Group invites applications for a Master Thesis on Data-Driven Identification and Forecasting of Thermal Flexibility in Residential Heat Pump Systems. The project runs for six months, with 60% on-site work and partial mobile work options. Master studies in Computer Science or comparable, strong Python skills, and knowledge of heat pump systems are preferred.

Start according to prior agreement. Include CV, transcript, and if applicable work and residence permit.

Qualifikationen

• Master studies in the field of Computer Science or comparable.
• Experience with Python; experience with databases and knowledge of heat pump systems advantageous.
• Languages: German and English business fluent.

Aufgaben

• Review existing approaches, analyze field monitoring data, and define suitable data processing workflows.
• Identify key thermal parameters of buildings and storage systems and use them to estimate available flexibility over time.
• Integrate the developed models into a flexibility forecasting workflow and evaluate their performance using real-world data.
• Extend and validate an automated end-to-end workflow covering: Data preprocessing and quality assessment, Thermal system characterization, Estimation of thermal storage capacity, Flexibility estimation and forecasting.
• Evaluate the developed approach.

Kenntnisse

Python

Databases

Heat pump systems

Ausbildung

Master in Computer Science or comparable

Jobbeschreibung

Master Thesis Data-Driven Identification and Forecasting of Thermal Flexibility in Residential Heat Pump Systems

• Full-time

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

The Robert Bosch GmbHis looking forward to your application!

Residential heat pumps can provide electrical flexibility by utilizing the thermal storage available in buildings, domestic hot water (DHW) tanks, and buffer storage systems.
This Master’s thesis focuses on the automated estimation and forecasting of the flexibility potential of residential heat pump systems. Building on existing concepts and methods, you will investigate how thermal characteristics and storage capacities can be identified from monitoring data and used to quantify the flexibility that a heat pump system can provide.

• You will review existing approaches, analyze field monitoring data, and define suitable data processing workflows. Based on this data, you will identify key thermal parameters of buildings and storage systems and use them to estimate available flexibility over time.
• Furthermore, you will integrate the developed models into a flexibility forecasting workflow and evaluate their performance using real-world data. The analysis will cover both individual homes and aggregated fleets of heat pumps, including the impact of aggregation on flexibility estimation and forecasting accuracy.
• As part of the thesis, you will extendand validate an automated end-to-end workflow covering: Data preprocessing and quality assessment, Thermal system characterization, Estimation of thermal storage capacity, Flexibility estimation and forecasting, Analysis of individual systems and aggregated fleets.
• Finally, you will evaluate the developed approach.

• Education: Master studies in the field of Computer Science or comparable
• Experience and Knowledge: of Python; experience with databases and knowledge of heat pump systems advantageous
• Personality and Working Practice: you are a reliable, curious individual with a strong internal motivation and a willingness to learn new things
• Work Routine: partially mobile working is possible, with work on premises at 60% (three days a week)
• Languages: business fluent in German and English

Start:according to prior agreement
Duration:6 months

Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Ana Constantin (Functional Department)
[phone]