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1. Your firm is considering an investment in a wind farm. Assume that the farm will cost $1 million per MW of installed capacity. The plan under consideration would deploy 10 GE 1.5 MW. You are to assess the after-tax profitability of this plan. The wind farm will be placed in a Class 6 wind area, generating an estimated average of 8760 MWh per turbine per year. The price of energy produced is $0.067 per kwh and a production tax credit provide an additional $0.022 per kwh for the first 10 years. You can obtain a very low interest loan for your investment, with an effective interest rate of 2.5% that you will pay off over 30 years. Assume that transmission lines will be provided by a local utility at no cost. Operating expenditures are $10,000 per year, mostly for insurance and occasional maintenance. Your corporate tax rate is 30%. Discount real profits or losses at a rate of 10%. For the three options below, generate an annual nominal cash flow, annual before tax profits, annual after-tax profits, and net present value after tax of the windfarm for the first 20 years (using traditional NPV calculations-do not worry about WACC), assuming zero salvage value and that you have no other deductions or credits for taxation except interest and-
1. The wind turbines can be straight-line depreciated over 15 years.
2. The wind turbines can be MACRS depreciated at 300% declining balance over 6 years, switching to straight-line depreciation on the adjusted basis (as in 4) if ever that provides a greater deduction.
3. The wind turbines can be depreciated 100% in the first year.
Is the wind farm profitable in NPV terms under any of these scenarios after 20 years? Which depreciation method is preferable? Why?
Given this information: Lead-time demand = 630 pounds Standard deviation of lead time demand = 40 pounds (Assume normality.) Acceptable stockout risk during lead time = 4
The relational database model gained popularity and many proponents during the 1980's and 1990's, a period of time in which IT organizations were seeking to consolidate data from m
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