Master's Thesis: Data-Driven Identification and Prediction of Thermal Flexibility in Heat Pump Systems for Residential Buildings

Robert Bosch GmbH · Renningen

ThesisGerman needed: fluent

Still open on 5 Nov

You apply on the company's own website.

Key facts

Analysis of existing approaches, evaluation of field data from monitoring systems, and definition of suitable data processing workflows
Identification of key thermal parameters of buildings and storage systems and estimation of available flexibility over time
Integration of developed models into a flexibility prediction workflow and evaluation of their performance using real measurement data
Analysis of individual households as well as aggregated heat pump fleets, investigation of the influence of aggregation on the accuracy of flexibility estimation and prediction
Extension and validation of an automated end-to-end workflow: data preprocessing and quality assessment, thermal system characterization, estimation of thermal storage capacity, flexibility estimation and prediction, analysis of individual systems and aggregated heat pump fleets
Evaluation of the developed approach regarding accuracy, robustness, and practical applicability

Education: Master's degree in Computer Science, Energy Engineering, Energy Technology or comparable with good academic performance
Experience and know-how: proficient in Python; experience with databases; knowledge of heat pump systems is an advantage
Personality and work style: reliable and curious personality with high self-motivation and willingness to quickly familiarize yourself with new topics
Work routine: partial mobile work possible; on-site presence at least 60% (three days per week)
Languages: fluent German and English in word and writing

Attractive salaries with bonuses for joint contribution to company success, individual performance pay, and private and company pension schemes
Discounts via benefit portals with reductions for numerous online shops and services as well as special conditions on Bosch products
Targeted talent development through first-class training opportunities and diverse career paths
Flexible work models: job sharing, flexible shift systems, part-time options, and sabbaticals
Health-promoting initiatives: preventive offers for physical and mental health, self-organized clubs and groups, networks on various topics
Mobility: Bosch shuttle, job bike, support for stays abroad with onboarding, mentoring, language courses, and return planning

Analysis of existing approaches, evaluation of field data from monitoring systems, and definition of suitable data processing workflows
Identification of key thermal parameters of buildings and storage systems and estimation of available flexibility over time
Integration of developed models into a flexibility prediction workflow and evaluation of their performance using real measurement data
Analysis of individual households as well as aggregated heat pump fleets, investigation of the influence of aggregation on the accuracy of flexibility estimation and prediction
Extension and validation of an automated end-to-end workflow: data preprocessing and quality assessment, thermal system characterization, estimation of thermal storage capacity, flexibility estimation and prediction, analysis of individual systems and aggregated heat pump fleets
Evaluation of the developed approach regarding accuracy, robustness, and practical applicability

Education: Master's degree in Computer Science, Energy Engineering, Energy Technology or comparable with good academic performance
Experience and know-how: proficient in Python; experience with databases; knowledge of heat pump systems is an advantage
Personality and work style: reliable and curious personality with high self-motivation and willingness to quickly familiarize yourself with new topics
Work routine: partial mobile work possible; on-site presence at least 60% (three days per week)
Languages: fluent German and English in word and writing

Attractive salaries with bonuses for joint contribution to company success, individual performance pay, and private and company pension schemes
Discounts via benefit portals with reductions for numerous online shops and services as well as special conditions on Bosch products
Targeted talent development through first-class training opportunities and diverse career paths
Flexible work models: job sharing, flexible shift systems, part-time options, and sabbaticals
Health-promoting initiatives: preventive offers for physical and mental health, self-organized clubs and groups, networks on various topics
Mobility: Bosch shuttle, job bike, support for stays abroad with onboarding, mentoring, language courses, and return planning