Postdoctoral researcher

Models and data for energy systems.

At the University of Stavanger, I build simulation, optimization and data tools for hybrid energy systems.

Portrait of Ali Karimi
  • 5+ Years of experience
  • 365 Citations
  • 14 Publications
  • PhD Industrial Engineering

Great ideas begin with asking the right questions.

I am a researcher and engineer working on multi-energy systems. My training is in mechanical and thermal-fluid engineering, with a PhD in Industrial Engineering from the University of Naples Federico II. My current work connects physical models with data.

I work on digital twins, optimization and machine learning for micro gas turbines, hydrogen storage, heat pumps with thermal storage, and building energy systems. I also build the software around them: solvers, sensor-data pipelines and monitoring platforms.

I care about models that are validated against measured data and that other people can run.

  • Postdoctoral researcherUniversity of Stavanger, 2025 to 2028
  • PhD, Industrial EngineeringUniversity of Naples Federico II
  • Stavanger, NorwayOpen to collaboration
  • FocusHybrid energy systems, digital twins

Four disciplines, one workflow.

Thermal-fluid modeling

1D steady-state and transient models of gas turbines, Rankine cycles and heat-pump systems, validated against test-rig data.

  • ThermoWave
  • Flownex
  • TESPy
  • CoolProp

Optimization and control

Scheduling and control of storage, heat pumps and hybrid systems under changing electricity prices.

  • MILP
  • SLSQP
  • GA
  • PID
  • Deep RL

Data engineering

Pipelines that clean, store and serve sensor data from real installations.

  • Python
  • SQL
  • FastAPI
  • ETL

CFD and CAD

Heat-exchanger and fluid-system simulation, plus product-level CAD modeling and rendering.

  • ANSYS
  • COMSOL
  • SolidWorks
  • KeyShot

Software I built, and research I work on.

Software

Open source

ThermoWave

A 1D thermodynamic network solver for steady-state and transient thermal-fluid systems, with five public benchmark cases.

View on GitHub
Open source

GasOptics

A Python library for thermodynamic and transport properties of gases and humid air, with unit conversion.

View on GitHub
Open source

Weather Dashboard

A browser tool for forecasts and historical weather, with solar-irradiance and wind analysis.

View on GitHub
Private

EcoHeat Sim and Norge Price

Annual hourly simulation of Norwegian residential heating, comparing direct electric heating with a solar heat pump and storage.

Private repository
Private

EcoCloud and Energy Central

Analysis and live monitoring of data from an integrated solar, battery and heat-pump installation, with a machine-learning digital twin.

Private repository
Private

OriCalc

A licensed desktop and web tool for orifice flow calculations.

Private repository

Research

Micro gas turbine (Ansaldo T100)

Test-rig data cleaning, 1D modeling, optimization-based parameter identification and fault diagnostics for hydrogen-fuelled operation.

Heat pump and storage test installation

A residential-scale setup with solar PV, a heat pump, thermal storage and a battery. I analyze its data and develop models and controls.

Hydrogen value chain digital twin

Contribution to a PhD project on a cloud-based digital twin for planning hydrogen production, transport and storage.

Renewable-driven desalination

A photovoltaic-powered desalination unit for drinking water on a Greek island, with the University of Stavanger. EEA Grants

Hybrid polygeneration for industry

Work-package input on decarbonizing industrial process heat with integrated renewable and waste-heat systems.

Digital twins for building energy use

A proposal on digital twins for energy use in buildings.

Industrial surplus heat for agriculture

A proposal on using industrial surplus heat for greenhouse agriculture in Norway.

Sand-based thermal storage

A market and technology study of sand thermal storage for district heating and industrial heat.

A digital twin, and concepts you can almost hold.

Publications.

  • 365 citations
  • 6 h-index
  • 6 i10-index
Google Scholar
2026
  • Deep Reinforcement Learning in multi-energy systems: A reviewEnergy Conversion and Management: X
  • Techno-economic assessment and risk informed feasibility analysis of small scale multi energy system comprising electrolyzer-PEM fuel cell-BESS, micro gas turbine, hydrogen storage and renewablesEnergy Conversion and Management: X
2025
  • Energy-saving and economic feasibility of a battery-integrated combined cooling, heating and power (CCHP) plant through waste heat recovery for H₂O-NH₃ based absorption, power and coolingEnergy
  • How modeling detail influences the optimization and operational performance of multi-energy systemsIFAC-PapersOnLine
2024
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