Thermal-fluid engineering
Published KTH/Siemens Energy thesis: compressible CFD/CHT, high-temperature instrumentation, test-rig commissioning and failure analysis.
Thermal portfolio →CET 2026 · conference profile
Thermal engineering.
Energy systems.
Evidence-first research.
I’m Abhijith Sivaprasadan, a KTH M.Sc. Sustainable Energy Engineering graduate. I work across thermal-fluid modelling, experimental engineering, energy-system resilience, optimisation and research software — and I’m actively exploring a transition into nuclear thermal-hydraulics and reactor systems.
Stockholm, Sweden · Research engineer / PhD / R&D opportunities · Sweden & EU
30-second version
Four things worth knowing.
Energy-system resilience
Kerala2040 combines audited electricity data, ERA5-sensitive demand, hydropower timing, transfer sensitivity, network screening and GIS constraints.
Energy modelling →Thermal storage + optimisation
Dynamic packed-bed modelling, Modelica/FMU verification and Pyomo/HiGHS annual screening for industrial process heat.
TES case study →Nuclear: emerging direction
I’m not presenting myself as a nuclear specialist. I’m building the nuclear-specific layer on top of an existing thermal, systems, modelling and instrumentation foundation.
Research direction →Flagship work
Start here, then go deeper.
The cards are intentionally short. Each link opens the detailed evidence, methods and limitations.Power systems · 2026Open research
Kerala2040
A diagnosis-first investigation of why Kerala’s electricity system becomes stressed — separating annual energy, difficult hours, hydro timing, external transfers and internal network constraints.
PyPSAOSeMOSYSERA5GISPython
Thermal / experimentalPublished thesis
Siemens Energy · high-temperature CFD/CHT
High-temperature dynamic-pressure-sensor calibration rig: reducer thermo-fluid analysis, NI-DAQ/LabVIEW work, root-cause analysis and documented experimental limitations.
ANSYS FluentCHTNI-DAQLabVIEW
Thermal storage · 2026Research software
TES Discharge Screen
Asks when the battery-like constant-discharge simplification breaks for thermal storage, and whether more physical discharge limits actually change annual decisions.
ModelicaFMI/FMPyPyomoHiGHSSALib
Industrial energyOpen-source demonstrator
OpenSteamOpt
Two-boiler steam-and-power twin with carbon-aware optimisation, Modelica/FMI simulation, a transparent shadow twin and a local advisory workbench.
ModelicaPyomoFMIStreamlit
Want the detailed version?
Choose the part you care about.
01Thermal / CFDHeat transfer, testing, numerical methods→02Energy systemsPower, heat, storage, optimisation→03Research / PhDQuestions, methods, publications, limits→04Research softwarePython, modelling tools, backend experience→05Skills & evidenceEvery capability linked to actual work→06Academic recordKTH MSc + coursework + Aalto elective→
Continue the conversation
If something here overlaps with your work, I’d like to hear about it.
Especially thermal-fluid R&D, experimental/modelling roles, energy-system research, nuclear thermal-hydraulics pathways, or PhD/research-engineer opportunities.