Meredith Fowlie at the Energy Institute at Haas posted a thought provoking (for economists) blog on whether economists should continue promoting pricing carbon emissions.
I see, however, that this question should be answered in the context of an evolving regulatory and technological process.
Originally, I argued for a broader role for cap & trade in the 2008 CARB AB32 Scoping Plan on behalf of EDF. Since then, I’ve come to believe that a carbon tax is probably preferable over cap & trade when we turn to economy wide strategies for administrative reasons. (California’s CATP is burdensome and loophole ridden.) That said, one of my prime objections at the time to the Scoping Plan was the high expense of mandated measures, and that it left the most expensive tasks to be solved by “the market” without giving the market the opportunity to gain the more efficient reductions.
Fast forward to today, and we face an interesting situation because the cost of renewables and supporting technologies have plummeted. It is possible that within the next five years solar, wind and storage will be less expensive than new fossil generation. (The rest of the nation is benefiting from California initial, if mismanaged, investment.) That makes the effective carbon price negative in the electricity sector. In this situation, I view RPS mandates as correcting a market failure where short term and long term prices do not and cannot converge due to a combination of capital investment requirements and regulatory interventions. The mandates will accelerate the retirement of fossil generation that is not being retired currently due to mispricing in the market. As it is, many areas of the country are on their way to nearly 100% renewable (or GHG-free) by 2040 or earlier.
But this and other mandates to date have not been consumer-facing. Renewables are filtered through the electric utility. Building and vehicle efficiency standards are imposed only on new products and the price changes get lost in all of the other features. Other measures are focused on industry-specific technologies and practices. The direct costs are all well hidden and consumers generally haven’t yet been asked to change their behavior or substantially change what they buy.
But that all would seem to change if we are to take the next step of gaining the much deeper GHG reductions that are required to achieve the more ambitious goals. Consumers will be asked to get out of their gas-fueled cars and choose either EVs or other transportation alternatives. And even more importantly, the heating, cooling, water heating and cooking in the existing building stock will have to be changed out and electrified. (Even the most optimistic forecasts for biogas supplies are only 40% of current fossil gas use.) Consumers will be presented more directly with the costs for those measures. Will they prefer to be told to take specific actions, to receive subsidies in return for higher taxes, or to be given more choice in return for higher direct energy use prices?
Nuclear power advocates bring up the technology as a supposedly necessary part of a zero-GHG portfolio to address climate change. They insist that the “next generation” technology will be a winner if it is allowed to be developed.
Nevertheless, nuclear has two significant problems beyond whatever is in the next generation technology:
Construction cost overruns are the single biggest liability that has been killing the technology. While most large engineering projects have contingencies for 25-30% overruns, almost all nuclear plants have overruns that are multiples of the original cost estimates. This has been driving the most experienced engineering/construction firms into bankruptcies. Until that problem is resolved, all energy providers should be very leery of making commitments to a technology that takes at least 7 years to build.
We still haven’t addressed waste disposal and storage over the course of decades, much less millennia. No other energy technology presents such a degree of catastrophic failure from a single source. Again, this liability needs to be addressed head on and not ignored or dismissed if the technology is to be pursued.
That article has several errors and is misleading in others aspects. First, California’s electricity rates are high because of the renewable contracts signed nearly a decade ago when renewables were just evolving and much higher cost. California’s investment was part of the reason that solar and wind costs are now lower than existing coals plants (new study shows 75% of coal plants are uneconomic) and competitive with natural gas. Batteries that increase renewable operations have almost become cost effective. It also claims that reliability has “gone down” when in fact we still have a large reserve margin. The California Independent System Operator in fact found a 23% reserve margin when the target is only 17%. We also have the ability to install batteries quickly to solve that issue. PG&E is installing over 500 MW of batteries right now to replace a large natural gas plant.
For the rest of the U.S., consumers will benefit from these lower costs today. Californians have paid too much for their power to date, due to mismanagement by PG&E and the other utilities, but elsewhere will be able to avoid these foibles.
Severin Borenstein at the University of California’s Energy Institute at Haas posted on whether a consumer buying an electric vehicle was charging it with power from renewables. I have been considering the issue of how our short-run electricity markets are incomplete and misleading. I posted this response on that blog:
As with many arguments that look quite cohesive, it is based on key unstated premises that if called into question undermine the conclusions. I would relabel the “correct” perspective as the “conventional” which assumes that the resources at the margin are defined by short-run operational decisions. This is the basic premise of the FERC-designed power market framework–somehow all of those small marginal energy increases eventually add up into one large new powerplant. This is the standard economic assumption that a series of “putty” transactions in the short term will evolve into a long term “clay” investment. (It’s all of those calculus assumptions about continuity that drive this.) This was questionable in 1998 as it became apparent that the capacity market would have to run separately from the energy market, and is now even more questionable as we replace fossil fuel with renewables.
I would call the fourth perspective as “dynamic”. From this perspective these short run marginal purchases on the CAISO are for balancing to meet current demand. As Marc Joseph pointed out, all of the new incremental demand is being met in a completely separate market that only uses the CAISO as a form of a day to day clearinghouse–the bilateral PPAs. No load serving entity is looking to the CAISO as their backstop resource source. Those long term PPAs are almost universally renewables–even in states without RPS standards. In addition, fossil fueled plants–coal and gas–are being retired and replaced by solar and wind, and that is an additional marginal resource not captured in the CAISO market.
So when a consumer buys a new EV, that added load is being met with renewables added to either meet new load or replace retired fossil. Because these renewables have zero operating costs, they don’t show up in the CAISO’s “marginal” resources for simple accounting reasons, not for fundamental economic reasons. And when that consumer also adds solar panels at the same time, those panels don’t show up at all in the CAISO transactions and are ignored under the conventional view.
There is an issue of resource balancing costs in the CAISO incurred by one type of resource versus another, but that cost is only a subcomponent of the overall true marginal cost from a dynamic perspective.
So how we view the difference between “putty” and “clay” increments is key to assessing whether a consumer is charging their EV with renewables or not.
A study in the Journal of the Association of Environmental and Resource Economics entitled “External Impacts of Local Energy Policy: The Case of Renewable Portfolio Standards” finds that increasing the renewable portfolio standard (RPS) in one state reduces coal generation in neighboring states through trading of renewable energy credits (RECs). This contrasts with findings on greenhouse gas emission “leakage” under California’s cap and trade program put forth by the authors at the Energy Institute at Haas at the University of California here and here.
These latter set of findings has been used California Public Utilities Commissioners to argue against the use of RECs and implication that community choice aggregators (CCAs) are not moving forward increased renewables generation. This new study appears to land on the side of the CCAs which have argued that even relying on RECs in the short run have a positive effect reducing GHG emissions in the West.
As one of my civic activities, I sat on the City of Davis Utility Rates Advisory Commission. In my final action with that commission, along with Elaine Roberts-Musser and Lorenzo Kristov, we prepared what might be a first-of-its kind enterprise fund reserve policy for the four utilities managed by the city. Up to this point, the URAC had been presented with rates development reports that appeared to use somewhat arbitrary, and inconsistent, methods of setting reserve targets. The city also appeared to be holding tens of millions of dollars in those funds that might be unneeded to meet expected reserve requirements.
With the City Council’s approval and support from the staff and the Finance and Budget Commission, we identified the elements that needed to be covered by reserves, including working capital, debt covenants, unanticipated capital replacements, and revenue-expense volatility. The first two elements were fairly straightforward to calculate, and unanticipated replacements didn’t appear to be significant. It was the analysis of the relationship of revenue and expense volatility where the report innovates. Previous studies had used some variation of a percentage of capital assets with no underlying explanation. Our solution was to derive an estimate of the outerbound of an annual revenue shortfall for a utility as buffer to allow rate or management adjustments.
In the end, the target reserves generally didn’t change much, but the City now has a transparent target that it can use to determine when it has excess funds that might be used in different fashions instead.