Abhijith SivaprasadanM.Sc. candidate at KTH · Stockholm, Sweden
Research / PhD / Portfolio
Questions first. Evidence throughout.
I’m interested in doctoral research in high-temperature heat transfer, experimental–numerical methods and energy systems. My work combines a published KTH master’s thesis, research internships and open scientific software, with assumptions and limitations documented alongside results.
Seven months embedded at Siemens Energy Finspång conducting compressible CFD/CHT, high-temperature instrumentation and root-cause analysis for the Pulsatorn dynamic pressure sensor calibration rig.
An open-source two-boiler steam-and-power twin with a carbon-aware Pyomo/HiGHS scheduler, OpenModelica FMI 2.0 simulation and a local Streamlit advisory GUI. Synthetic and uncalibrated; not an ABB product or live control system.
How do radiation approximations affect calculated heat transfer? Published-data fixtures, a discrete-ordinates solver and scientific regression tests. Original work and third-party source retain distinct provenance.
Local electricity-investment GUI and shared Pyomo/HiGHS planner, with audited market coverage and 175 extracted public input references. Synthetic and uncalibrated; normalization, price-target decisions and weather conversion still gate historical fitting.
Final-year interactive robot project combining IRJET control-system/subsystem integration work with the published frame and locomotion design: Raspberry Pi/cloud control, surveillance, SOC indication, steering integration, drivetrain sizing and ANSYS deformation screening.
Raspberry Pi · CAD · ANSYS · BLDC motor controller · Servo control · IRJET manuscript
Seven months embedded at Siemens Energy Finspang in the Fluid Dynamic Lab. Conducted numerical investigation of steady-state thermo-fluid performance of a reducer geometry for a high-temperature dynamic pressure sensor calibration rig (Pulsatorn). Built compressible CFD and conjugate heat transfer models in ANSYS Fluent (k-omega SST), conducted three-level mesh independence study, and applied Biot number analysis to decompose thermal performance. Identified flow-regime asymmetry between geometry variants (Ma 0.990 near-choked vs Ma 1.006 supersonic vena contracta). Also commissioned NI-DAQ measurement chains, modified LabVIEW VIs, ran independent test campaigns at up to 700 C, and conducted a formal root cause analysis of a heater failure resulting in an approved project scope revision. Used Siemens NX and Teamcenter PLM2020 throughout. Supervisor: Prof. Jens Fridh, KTH. Thesis: TRITA-ITM-EX 2026:14.
Contributed to KTH plastic pyrolysis research by reviewing reactor concepts and cost-analysis drivers for oil extraction from polymer waste, supporting early-stage technical and economic feasibility evaluation.
Developed and independently validated a quantitative methodology for industrial energy performance mapping, covering KPI/EnPI design, load-driver logic, metering-gap assessment, deviation detection from noisy operational data and regulatory comparison. The work was desk-based method development and decision-support framing rather than hands-on plant execution, with electrical utilities and compressed air treated as relevant electrification pathways. Proprietary site detail is not republished.
Python · ISO 50001 · EU EED · KPI/EnPI Design · Energy Performance Mapping · Industrial Energy Analysis · Structured Reporting
Research interests describe future directions, not completed experiments or institutional endorsement. The thesis is a numerical investigation with limited sustained experimental comparison. A thesis, student publication, coursework and independent software carry different levels of review; exploratory energy models remain uncalibrated.
Source case studies remain authoritative. Private inputs and restricted project details are not published.
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