This question evaluates competency in financial modeling and quantitative analysis for utility-scale renewable projects, testing skills in ROI and payback calculation, unit economics, capacity constraint analysis, sensitivity analysis, and scenario comparison.

You’re advising NorthGrid Energy on a utility-scale renewables investment with the following Year-1 economics unless noted: upfront capex = 50,000,000; fixed O&M = 2,000,000/year; variable cost = 40/MWh for the first 5 years; maximum physical capacity = 800,000 MWh/year. Define Year-1 ROI as (operating profit in Year 1) / (initial capex). Ignore taxes, depreciation, financing costs, and working capital. Answer all parts, showing formulas and numeric steps: 1) What quantitative factors would you prioritize before modeling (at least 6), and for each state directionality (how an increase affects ROI) and how you would measure/validate it? 2) Compute the minimum annual MWh required in Year 1 to achieve a 10% ROI. If the requirement exceeds capacity, quantify the shortfall in MWh. 3) Suppose regulation caps Year-1 output at 500,000 MWh. a) Holding costs constant, what PPA price (to the nearest cent) is needed to still reach a 10% ROI? b) Holding price at 25,000,000; fixed O&M 0/MWh; expected output 300,000 MWh/year at 25,000,000; fixed O&M 30/MWh; expected output 1,100,000 MWh/year at /MWh). 5) Which option would you recommend and why? Justify using unit economics, sensitivity to price/cost shocks, capacity risk, and operational complexity. 6) Deliver a 30-second executive summary (≤90 words) stating the recommendation, key assumptions, and the single largest risk.