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Distributed Generation Adoption Decision Making Under Uncertainty

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Presentation on theme: "Distributed Generation Adoption Decision Making Under Uncertainty"— Presentation transcript:

1 Distributed Generation Adoption Decision Making Under Uncertainty
Mark Sanford Michael Leifman

2 Agenda Assumed buyer behavior & resulting model
Forecasting uncertainties Product adoption & grid parity Incentive induced dynamics

3 Underlying business question
Will residential and small commercial demand for distributed generation justify the investment required to serve these consumers?

4 Predicting adoption Deployment = Opportunities x Penetration x Adoption Consumers don’t do sophisticated financial analysis … simple payback more closely represents decisions Source: Adapted from Navigant Consulting, NREL/SR / February 2008

5 Simplified adoption model
Candidate locations Financing cost Capital cost Res/Comm deployment Incentives Grid parity Simple payback Operating cost & output Expected penetration Electricity price Time since introduction But … capital cost is declining while retail electricity and fuel prices may go up or down

6 Geographical variance is significant
Retail electric prices, natural gas prices, and renewable annual output vary widely among states Source: US Energy Information Agency

7 Capital costs are coming down
But … opinions differ considerably as to how far and how fast, particularly for residential applications Source: One of several Illustrative example from GE Energy

8 Rapid adoption in mid-point case
GW Solar, with no operating cost, is most attractive alternative for deployment

9 Uncertainty cannot be ignored
NY GA Cumulative Probability IL Probability of “grid parity” Grid parity: cost of production = retail electric price, assuming net metering Even with fixed customer behavior assumptions, amount of adoption remains highly uncertain Source: GE Energy, Energy Strategic Marketing

10 Incentives dynamics GW Tax credit incentives accelerate market, but create potential for severe trough when removed Source: GE Energy, Energy Strategic Marketing

11 Conclusions Mid-point case shows significant growth in distributed solar generation Uncertainty analysis shows a wide range of outcomes to be possible Incentive programs have desired effect of accelerating adoption, but introduce risk of suspending demand when removed Uncertainty analyses illustrates risks in entering a new business that might otherwise be ignored


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