Furqan S.

When energy projects move from concept to financing, the simulation models either support a $50M investment decision or create expensive delays during due diligence. I build the models that do not create delays. I am a Power Systems Analyst and Energy Storage Specialist with deep expertise in grid-scale storage feasibility, wind energy yield assessment, and hybrid renewable integration. My deliverables are built to survive scrutiny from investors, lenders, and grid operators. WHAT I DELIVER — Bankable energy yield reports (P50/P90) and LCOS/LCOE models for solar, wind, and storage projects — Grid stability and compliance studies: load flow, short-circuit, and protection coordination (ETAP) — Wind farm AEP and wake analysis (QBlade, PyWake) — Techno-economic feasibility for novel storage systems, including gravity and kinetic storage — Renewable hybrid system optimization and control modeling (MATLAB/Simulink) — Data-centre cooling and cooling-tower digital twins: thermal, water-chemistry and energy optimisation SELECTED EXPERIENCE — Designed and modeled a 5 MW Underground Gravity Energy Storage system (~50 MWh/day) in a 494 m mine shaft paired with a 50 MW wind farm: 89.7 GWh/yr net energy at 20.5% capacity factor, 84.97% round-trip efficiency, LCOS PKR 18.24/kWh, NPV PKR 729M and IRR 19.3%. First-author paper under review at the Journal of Energy Storage (Elsevier). — Built Mizan, an open-source digital twin and optimiser for cooling towers and liquid-cooled data centres, validated to 0.60 K on 147 field measurements and benchmarked against USGS PHREEQC. — Lead Energy Engineer (Jan-Sep 2026) for a Singapore-based venture developing renewable baseload power for hyperscale data centres: rebuilt bankable LCOE and CAPEX/OPEX models against NREL ATB 2024 and GenCost 2024-25. SOFTWARE STACK ETAP · PVsyst · OpenSolar · HOMER Pro · QBlade · PyWake · MATLAB/Simulink · Python · OpenModelica