Doktorand inom Teknoekonomisk optimering av termisk energilagring
Core
Developing a modular framework for techno-economic modeling and optimization of thermal energy storage (TES) concepts for industrial steam and process heat at medium to high temperatures.
Role type
PhD researcher (Researcher in Energy Technology)
Builds
Validated modeling tools, techno-economic indicators, and technology selection maps for cost-effective TES solutions.
Domain
Energy technology / Industrial process heat / Thermal energy storage
Deliverable
production ML models | research
Required skills
Advanced degree (Master's or equivalent), Technical thermodynamics, Heat transfer, Energy system analysis, Optimization methods, English (B2/6 equivalent)
Preferred skills
Python, Machine learning, Mixed-Integer Linear Programming (MILP), Thermal energy storage, Heat exchangers, Techno-economic modeling
Technologies
Python, MILP
Responsibilities
Develop modular modeling frameworks for TES concepts, integrate renewable heat and electrification into models, optimize storage technology and system sizing using quasi-stationary and dynamic modeling, validate models using experimental data and industrial case studies.
Seniority
PhD Candidate (Researcher)