Wind and Solar Profits: The Race Between Falling Costs and Declining Revenue
Dramatic reductions in the cost of wind and solar have led to optimism that they can be primary contributors to low-carbon electricity grids. But there's an important obstacle to their profitability: revenue decline.
Adding wind and solar to the grid tends to reduce electricity prices during the times that they generate. On a sunny afternoon in California, solar generation can reach such high levels that it brings the price of electricity down to zero.
This wasn’t a problem when the first few solar plants were built, but it means that the value of new solar is lower than it used to be because it will generate during periods when the price of electricity is already low.
Declining revenue isn’t a new concept, and there are several important trends that are already working to slow it down: storage, demand response and increasing interconnection.
Storage allows energy produced by renewables at times when prices are low to be saved and sold when prices are higher. Demand response can move demand from high price periods to times when renewables are generating. Interconnection enables movement of renewables over larger spatial scales, allowing renewable energy to find its way to distant markets where prices are higher.
In the end, though, the net profitability of wind and solar farms is the outcome of two opposing forces: technological progress reducing cost and revenue decline reducing income. Which of these two forces is stronger? We analyzed this in a recent paper published in Renewable Energy .
Renewables profits: Racing to stand still
We posed a simple question: What is the market value of solar and wind in the future if the grid does not adopt more storage, demand response and interconnection? While those things will hopefully come to the grid at significant scale, this approach lets us understand the relative effect of just technological learning and revenue decline.
To forecast technological progress, we used an experience curve, or the idea that every doubling of production in a technology leads to a fixed percentage reduction in price. For wind, we assume that the price falls 10 percent every time production doubles, and we use a high figure — 16 percent — for solar.
For revenue decline, we built an electricity system dispatch model for the U.S. grid, using historical data in 13 regions to develop price-demand relationships and adjust those historical prices for the amount of wind or solar each hour of the year.
The idea of the model is to sequentially build out wind or solar across the U.S. and track the progress of both cost reductions and revenue decline. We compare the net result of these two effects using carbon mitigation cost, or the net cost of reducing CO 2 emissions by a metric ton.
For wind, there's good news and bad news. The bad news is that even with learning, later deployments of wind have lower...