Severin Borenstein’s post raises an important issue that economists have ignore for too long. I posted the following comment there:
We gave politicians the tool of benefit-cost analysis which they have used to justify their policy objectives, but we completely failed to drive home the requirement that those parties who are on the losing end need to be compensated as well. I looked in my edition of Ned Gramlich’s book on Benefit-Cost Analysis (who taught my course), and the word “compensation” is not even in the index! Working on environmental regulations, I regularly see agency staff derive large positive ratios for the “general public” and then completely dismiss the concerns of particular groups that will be carrying all the burdens of delivering those benefits. If we’re going to teach benefit-cost analysis, we need to emphasize the “cost” side as much as the “benefit” that politicians love to extol.
Catherine Wolfram at UC Berkeley posted about their paper looking at costs of distributed energy systems in Kenya and concluding that these were too expensive for households compared to connecting to the grid. However, the paper came under immediate criticism.
Here’s my thoughts based on her representation of the paper’s findings, some of which are mirrored by other commentators:
First, the paper talks about costs on one side, but doesn’t put them in perspective to the alternatives. The post lists the cost of the individual systems, but not the expected connection costs to the grid.
Further the paper takes a static look at current costs and doesn’t account for the differential trends in the sets of costs for an home-based system versus connecting to the grid. The latter costs can be expected to be steady or even rising, while it’s well known that both solar and storage costs have fallen rapidly.
Different scales of “grid” also are important. For example, solar projects show scale economies up to about 3 MW but then modular construction flattens the per kW cost. A village microgrid separate from a national central grid may be quite cost competitive.
Finally, the paper appears to lump large hydro in with other utility-scale renewables. The environmental (and economic development) record for large-scale hydro projects in the developing world is dubious at best. There is evidence of significant methane emissions from tropical reservoirs. Habitat is destroyed and poorly designed projects don’t deliver expected benefits. Hydro is by far the largest energy supplier on these grids, and they may be little better than coal from an overall environmental perspective.
Severin Borenstein at the Energy Institute at Haas makes the case for giving customers the choice of TOU or fixed price rates. I’ve commented several times on the Energy Institute blog about this approach, and blogged myself about the need for this option.
Maximillian Auffhammer at UC’s Energy Institute @ Haas focuses on the issue of exporting coal from the Port of Oakland, but he turns to the issue I highlighted recently–the path to accomplishing environmental objectives should travel through compensating those who are worse off from such policies.
A study just released from the E2e Project finds that the investment costs in residential energy efficiency greatly exceed the realized benefits. Earlier the same research program found that even if the energy efficiency measure packages, costing up to $5,000, were given away for free, only 6% of low income homeowners would participate. This is one of the first projects to track from start to finish a full set of energy efficiency projects. Much controversy has swirled around the accuracy of the engineering calculations used to estimate energy savings, and whether market barriers are impeding participation in what appears to be obvious cost saving actions. This study calls into question the premise of “costlessly” promoting energy efficiency actions.
The Project is run jointly by the University of California’s Energy Institute at Haas, the University of Chicago’s EPIC, and MIT.
If you work outside your home, chances are you don’t pay (directly) for the energy you use at work. At my place of work, the UC Berkeley campus, most employees never see – let alone pay – their energy bills.
Of course, there are plenty of pro-social reasons to be conscientious about my energy consumption at work (climate change and tight university budgets, to name a few). But these “split incentives” (i.e., the fact that I bear none of the costs when I increase campus energy use) beg the question: How much less energy would we use at work if we were all responsible for paying our own energy bills?
This seems like an important question when you consider the quantity of energy consumed each year by commercial buildings (which include office buildings, retail space, restaurants, hotels, hospitals, schools, and universities). The commercial sector now accounts for over…
Severin Borenstein at the Energy Institute at Haas blogged about the debate over moving to residential fixed charges, and it has started a lively discussion. I added my comment on the issue, which I repost here.
The question of recovery of “fixed” costs through a fixed monthly charge raises a more fundamental question: Should we revisit the question of whether utilities should be at risk for recovery of their investments? As is stands now if a utility overinvests in local distribution it faces almost no risk in recovering those costs. As we’ve seen recently demand has trended well below forecasts since 2006 and there’s no indication that the trend will reverse soon. I’ve testified in both the PG&E and SCE rate cases about how this has led to substantial stranded capacity. Up to now the utilities have done little to correct their investment forecasting methods and continue to ask for authority to make substantial “traditional” investment. Shareholders suffer few consequences from having too much distribution investment–this creates a one-sided incentive and it’s no surprise that they add yet more poles and wire. Imposing a fixed charge instead of including it as a variable charge only reinforces that incentive. At least a variable charge gives them some incentive to avoid a mismatch of revenues and costs in the short run, and they need to think about price effects in the long run. But that’s not perfect.
When demand was always growing, the issue of risk-sharing seemed secondary, but now it should be moving front and center. This will only become more salient as we move towards ZNE buildings. What mechanism can we give the utilities so that they more properly balance their investment decisions? Is it time to reconsider the model of transferring risk from shareholders to ratepayers? What are the business models that might best align utility incentives with where we want to go?
The lesson of the last three decades has been that moving away from direct regulation and providing other outside incentives has been more effective. Probably the biggest single innovation that has been most effective has been imposing more risk on the providers in the market.
California has devoted as many resources as any state to trying to get the regulatory structure right–and to most of its participants, it’s not working at the moment. Thus the discussion of whether fixed charges are appropriate need to be in the context of what is the appropriate risk sharing that utility shareholders should bear.
This is not a one-side discussion about how groups of ratepayers should share the relative risk among themselves for the total utility revenue requirement. That’s exactly the argument that the utilities want us to have. We need to move the argument to the larger question of how should the revenue requirement risk be shared between ratepayers and shareholders. The answer to that question then informs us about what portion of the costs might be considered unavoidable revenue responsibility for the ratepayers (or billpayers as I recently heard at the CAISO Symposium) and what portion shareholders will need to work at recovering in the future. As such the discussion has two sides to it now and revenue requirements aren’t a simple given handed down from on high.