Tag Archives: CPUC

Study shows RPS spillover positive to other states

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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.

A counter to UC’s skepticism about CCAs

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Kevin Novan from UC Davis wrote an article in the University of California Giannini Foundation’s Agriculture and Resource Economics Update entitled “Should Communities Get into the Power Marketing Business?” Novan was skeptical of the gains from community choice aggregation (CCA), concluding that continued centrally planned procurement was preferable. Other UC-affiliated energy economists have also expressed skepticism, including Catherine Wolfram, Severin Borenstein, and Maximilian Auffhammer.

At the heart of this issue is the question of whether the gains of “perfect” coordination outweigh the losses from rent-seeking and increased risks from centralized decision making. I don’t consider myself an Austrian economist, but I’m becoming a fan of the principle that the overall outcomes of many decentralized decisions is likely to be better than a single “all eggs in one basket” decision. We pretend that the “central” planner is somehow omniscient and prudently minimizes risks. But after three decades of regulatory practice, I see that the regulators are not particularly competent at choosing the best course of action and have difficulty understanding key concepts in risk mitigation.By distributing decision making, we better capture a range of risk tolerances and bring more information to the market place. There are further social gains from dispersed political decision making that brings accountability much closer to home and increases transparency. Of course, there’s a limit on how far decentralization should go–each household can’t effectively negotiate separate power contracts. But we gain much more information by adding a number of generation service providers or “load serving entities” (LSE) to the market.

I found several shortcomings with with Novan’s article that would change the tenor. I take each in turn:

  • He wrote “it remains to be seen whether local governments will make prudent decisions…” However, he did not provide the background which explains at least in part why the CCAs have arisen in the first place. Largely over the last 40 years, the utilities have made imprudent procurement and planning decisions. Whether those have been pushed on the utilities by the CPUC and Legislature or whether the IOUs have some responsibility, the fact is that neither institution sees real consequences for these decisions, neither financially or politically. In fact, the one time that a CPUC commissioner attempted to deliver consequences to the IOUs, she was fired and replaced by a former utility CEO. The appropriate comparison for local government decision making is to the current baseline record, not an academic hypothetical that will never exist. And by the way, government enterprise agencies, including municipal utilities, have a relatively good record as demonstrated as by lower electricity rates and relatively well managed, almost invisible capital intensive water and sanitation utilities. The current CCAs have a more extensive portfolio risk management system than PG&E—my calculation of PG&E’s implicit risk hedge in its renewables portfolio is an astounding 3.3 cents per kilowatt-hour.
  • Novan complains that CCAs have “dual objectives.” In fact they have “triple objectives,” the added one to encourage local economic development (sometimes through lower rates). I suggest reading the mission statements of the CCAs that have been created, including the local Valley Clean Energy Authority .
  • It’s not clear that “purchasing locally produced renewable energy will likely lead to more expensive renewable output” for at least two reasons. The first is that local power can avoid further transmission investment. The current CAISO transmission access charges range from $11 to $39 per megawatt-hour and is forecasted to continue to rise significantly (indicating transmission marginal costs are much above average costs). In a commentary on a UC Energy Institute blog, it was revealed that the Sunrise line may have cost as much as $80 per MWH for power from the desert. This wipes out much of the difference between utility scale and DG solar power. Building locally avoids yet more expensive transmission investment to the southeast desert. [I worked on the DRECP for the CEC.] In addition, local power can avoid distribution investment and will be reflected in the IOU’s distribution resource plans (DRP). And second, the scale economies for solar PV plants largely disappears after about 10 MW. So larger plants don’t necessarily mean cheaper, (especially if they have to implement more extensive environmental mitigation.) [I prepared the Cost of Generation model and report for the CEC from 2001-2013.]
  • It’s not necessary that more renewable capacity is needed for local generation. The average line losses in the CAISO system are about 6%, and those are greater from the far desert region. Whether increased productivity overcomes that difference is an empirical question that I haven’t seen answered satisfactorily yet.
  • Novan left unstated his premise defining “greener” renewables, but I presume that it’s based almost entirely on GHG emissions. However, local power is likely “greener” because it avoids other environmental impacts as well. Local renewables are much more likely to be built on brownfields and even rooftops so there’s not added footprints. In contrast there is growing opposition to new plants in the desert region. The second advantage is the avoidance of added transmission corridors. One only needs to look at the Sunrise and Tehachipi lines to see how those consequences can slow down the process. Local DG can avoid distribution investment that has consequences as well. Further, local power provides local system support that can displace local natural gas generation. In fact, one of the key issues for Southern California is the need to maintain in-basin generation to support imports of renewables across the LA Basin interface. [I assessed the need for local generation in the LA Basin in the face of various environmental regulations for the CEC.]

I was on the City of Davis Community Choice Energy Advisory Committee, and I am testifying on behalf of the California CCAs on the setting of the PCIA in several dockets. I have a Ph.D. from Berkeley’s ARE program and have worked on energy, environmental and water issues for about 30 years.

 

 

 

 

Bob Dunning gets choice on VCEA wrong

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Electricity customers in Davis and Yolo County are in the midst of choosing between the current incumbent electricity utility Pacific Gas & Electric (PG&E) and the new community choice aggregator (CCA) Valley Clean Energy Alliance (VCE). VCE is a joint powers authority (JPA) of the governments of the Yolo County, and the Cities of Davis and Woodland. (The Cities of Winters and West Sacramento have expressed interest in joining VCE as well.) By state law, customers are initially defaulted to the CCA at the outset before being given multiple chances over a six month period to choose to stay with the incumbent investor-owned utility–PG&E in this case.

Bob Dunning in his Davis Enterprise column August 8 confuses a lack of choice with just changing the starting point of the choice. Regardless of whether VCE or PG&E is the default provider, local customers still have exactly the same choice. But by having VCE start as the default provider, we level the playing field with the long-time giant monopoly utility, PG&E. (And customers can return to PG&E after 12 months if they are dissatisfied.) Why should we continue to give the big guy a continued advantage at the outset?

PG&E has all sorts of shareholder money to spend on improving its image and retaining customers. The utility’s biggest problem is that it is spending an additional 3.3 cents per kilowatt-hour to mismanage risk in its portfolio based on calculations I made in the power cost indifference adjustment (PCIA) rulemaking proceedings. Why stay with a company that has such a poor management record?

Commentary on CPUC Rate Design Workshop

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The California Public Utilities Commission (CPUC) held a two-day workshop on rate design principles for commercial and industrial customers. To the the extent possible, rates are designed in California to reflect the temporal changes in underlying costs–the “marginal costs” of power production and delivery.

Professor Severin Borenstein’s opening presentation doesn’t discuss a very important aspect of marginal costs that we have too long ignored in rate making. That’s the issue of “putty/clay” differences. This is an issue of temporal consistency in marginal cost calculation. The “putty” costs are those short term costs of operating the existing infrastructure. The “clay” costs are those of adding infrastructure which are longer term costs. Sometimes the operational costs can be substitutes for infrastructure. However we are now adding infrastructure (clay) in renewables have have negligible operating (putty) costs. The issue we now face is how to transition from focusing on putty to clay costs as the appropriate marginal cost signals.

Carl Linvill from the Regulatory Assistance Project (RAP) made a contrasting presentation that incorporated those differences in temporal perspectives for marginal costs.

Another issue raised by Doug Ledbetter of Opterra is that customers require certainty as well as expected returns to invest in energy-saving projects. We can have certainty for customers if the utilities vintage/grandfather rates and/or structures at the time they make the investment. Then rates / structures for other customers can vary and reflect the benefits that were created by those customers making investments.

Jamie Fine of EDF emphasized that rate design needs to focus on what is actionable by customers more so than on a best reflection of underlying costs. As an intervenor group representative, we are constantly having this discussion with utilities. Often when we make a suggestion about easing customer acceptance, they say “we didn’t think of that,” but then just move along with their original plan. The rise of DERs and CCAs are in part a response to that tone-deaf approach by the incumbent utilities.

Reblog: If you like your time-invariant electricity price, you can keep it

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.

Source: If you like your time-invariant electricity price, you can keep it

PG&E to release 65,000 emails since 2010

PG&E in the wake of more revelations about ex parte contacts with CPUC commissioners and staff is releasing 65,000 emails over the period from 2010.  This should make for some interesting reading by interested parties. Is there anyone out their who might like to cooperatively compile a readable database?

Three key steps in designing rates for solar power

KQED posted a good summary of how solar power is driving the residential rate design rulemaking at the CPUC. (M.Cubed works for EDF there.) I offer three steps that should be taken to address the issues of how to change ratemaking for a changing energy marketplace:

1) Consumers should see time varying prices (time of use or TOU being among that menu). Tiered rates make it impossible to see the current price for consumption, and tiered rates have been shown not to induce any additional conservation across the customer base. Consumer surveys show that customers want more control over their electricity use and the price signals to direct them.

2) Consumers should be offered a meaningful menu of rate options. This means rates that differ in risk exposure both over time of day and time horizon. Customers should be able to hedge against peak day prices or participate in demand response. They should be able to accept changes in hourly prices or buy a multi-year contract. Utilities already offer these contract options to their suppliers; why not treat their customers as they they are valued?

3) Any calculation of grid costs and responsibility should reflect the changing demand by consumers. The grid charges proposed by the utilities assume that future consumers will install the same-sized equipment as they do today and that they will consume in the same pattern. Solar panels are ready today to “island” a home from the network, and EV charging could create greater load diversity even at the circuit level. That will radically change utility investment. The distribution planning rulemaking is an important step toward resolving that issue but the CPUC hasn’t yet linked the proceedings.

Only the first issue is being addressed head on in the rulemaking and it hasn’t really delved into the importance of emerging consumer choice.

Overwhelmed by “opportunities” at the CPUC

The opening of yet another rulemaking at the CPUC and the revelations of more contacts between PG&E and CPUC Commissioners are two sides of a larger conundrum in state electricity policy development and implementation. The OECD recently issued a wish list for how regulatory agencies should be structured and behave. (Thanks to Mark Pearson for posting this.) Yes, some are “pie in the sky” but they provide a useful means of evaluating how a regulatory agency is performing.

Looking at the first principle, the CPUC has been set adrift in part by the lack of role clarity in the state. At one point at least 8 statewide agencies had significant roles in electricity planning and ratemaking. (Along with the CPUC, there’s been the CEC, CAISO, CARB, CDWR, SWRCB, Electricity Oversight Board, and California Power Authority, the last 2 now defunct.) And there are additional local agencies (e.g., SCAQMD). This has blurred the lines of authority and allowed forum shopping.

And perhaps most importantly the number of proceedings at the CPUC have proliferated to a point where it is impossible for intervenors to devote enough resources to follow what’s happening everywhere. At least 14 different rulemakings are looking at interdependent elements of planning for increased renewables and the transformation of the electricity market. These include the long term power procurement, renewables portfolio standard, energy efficiency, water-energy nexus, demand side response, utility shareholder incentives, storage, distributed generation and self generationsolar initiative, net energy metering, alternative fueled and electric vehiclesresidential rate design, CCA rules, and recently, distribution resources planning.  And these don’t count the many utility applications such as the green tariff and community solar garden proposals. Some of these proceedings have been open over a decade with only partial resolution, and the CPUC has opened direct successors up to 4 times. While looking to develop a consistent regulatory framework for evaluating integrated demand side resources is an admirable goal, it could be overwhelmed by the divided attention demanded from all of these other proceedings. That undermines another OECD principle–transparency–even if appearances look differently.

Finally funding for both intervenors and skilled CPUC staff has become untenable and effective participation in declining, further eroding yet another OECD principle. This allows the well-funded utilities to influence outcomes while no one is looking. The documentation of the meetings and emails are only a reflection of the underlying problems.

The answers would seem to include:

  • to consolidate proceedings rather than opening new ones,
  • not adding yet more ratesetting proceedings for specific add ons, and
  • funding intervenors on a more equitable basis with utilities and paying those groups sooner than two years after the relevant decision.

Some of these will require legislative action; others might be implemented after the current CPUC president has left. But it will only happen if intervenors collectively demand reform.

Will “optimal location” become the next “least-cost best-fit”?

At the CPUC’s first workshop on distribution planning, the buzz word that came up in almost every presentation was “optimal location.” But what does “optimal location” mean? From who’s perspective? Over what time horizon? Who decides? The parties gave hints of where they stand and they are probably far apart.

Paul De Martini gave an overview of the technical issues that the rulemaking can address, but I discussed earlier, there’s a set of institutional matters that also must be addressed. Public comment came back repeatedly to these questions of:  who should be allowed into the emerging market with what roles, and how will this OIR be integrated with the multitude of other planning proceedings at the CPUC? I’ll leave a discussion of those topics to another blog.

The more salient question is defining “optimal location.” I’m sure that it sounded good to legislators when they passed AB 327, but as with many other undefined terms in the law, the devil is in the details. “Least cost-best fit” for evaluating new generation resources similarly sounds like “mom and apple pie” but has become almost meaningless in application at the CPUC in the LTPP and RPS proceedings. Least cost best fit has just led to frustration for both many developers of innovative or flexible renewables such as solar thermal and geothermal, and for the utilities who want these resources.

SCE and SDG&E were quite clear about how they saw optimal location would be chosen: the utility distribution planners would centrally plan the best locations and tell customers. Exactly HOW they would communicate these choices was vague.

Many asked how project developers and customers might know where to find those optimal locations among the utilities’ data. Jamie Fine of EDF might have had the best analogy. He said he now lives in a house that clearly needs a new paint job, so painters drop flyers on his doorstep and not on his neighbors who’s paint is not peeling. Fine asked, “when will the utilities show us where the paint is peeling in their distribution systems?” His and others’ questions call out for a GIS tool that be publicly viewed, maybe along the view of the ICF tool recently presented.

I can think of a number of issues that will affect choices of optimal locations, many of them outside of what a utility planner might consider. The theme of these choices is that it becomes a decentralized process made up of individual decisions just as we have in the rest of the U.S. market place.

  • Differences in distributed energy resource characteristics, e.g., solar vs. bioenergy;
  • Regional socio-economic characteristics to assess fairness and equity;
  • Amount of stranded investment affected;
  • The activities and energy uses both of the host site, neighboring co-users/generators, and surrounding environs;
  • Differences in valuation of reliability by different customers;
  • Interaction with local government plans such as achieving climate action goals under SB 375.
  • Opportunities for new development compared to retrofitting or replacing existing infrastructure.

In such a complex world, the utilities won’t be able to make a set of locational decisions across their service territory simply because they won’t be able to comprehend this entire set of decision factors. It’s the unwieldly nature of complex economies that brings down central planning–it’s great in theory, but unworkable in practice. The utilities can only provide a set of parameters that describe a subset of the optimal location decisions. State and local governments will provide another subset. Businesses and developers yet another set and finally customers will likely be the final arbiters if the new electricity market is to thrive.

As a final note, opening up information about the distribution system (which the utilities have jealously guarded for decades) offers an opportunity to better target other programs as well such as energy efficiency and the California Solar Initiative. Why should we waste money on air conditioning upgrades in San Francisco when they are much more needed in Bakersfield? The CPUC has an opportunity to step away from a moribund model in more than distribution planning if it pursues this to its natural conclusion.

What are the missing questions in California’s distribution planning OIR?

The CPUC has opened a long awaited rulemaking to revisit (or maybe visit for the first time!) how utilities should plan their distribution investments to better integrate with distributed energy resources (DER). State law now requires the utilities to file distribution plans by next July. But the CPUC may want to consider some deeper questions while formulating its policies.

To date the utilities have pretty much been able to make such investments with little oversight. For one client, AECA, we submitted testimony pointing out that PG&E had consistently overforecasted demand and used that demand to justify new distribution investment that probably is unneeded. Based on a corrected forecast that recognizes that that PG&E’s (and the state’s) demand has turned downward since 2007, PG&E’s loads don’t return to 2007 levels until at least 2014. (We found a similar pattern in SCE’s 2012 GRC filings.)

 

AECA - PG&E 2014 GRC Testimony: Comparing Demand Forecasts

AECA – PG&E 2014 GRC Testimony: Comparing Demand Forecasts

Both PG&E and SCE justified new investment based on phantom load growth, but they would have been better served to show what investment might be required for the evolving electricity market. SCE has responded with the Living Pilot that tests out how to best integrate preferred resources.

The CPUC is relying on Paul De Martini’s More than Smart paper as a roadmap for the rulemaking. The CPUC has asked a number of questions to be addressed by September 4 with replies September 17. A workshop is to be held September 18.Beyond these questions, two more questions come to mind.

First, who will be allowed to play in the DER world? The OIR asks about non-IOU ownership of distribution lines, particularly related to microgrids, but it doesn’t consider the flip side–can utilities or affiliates participate in the DER market? Setting market rules in the face of rapid evolution and uncertainty, current participants will look to protect their current interests unless they are shown a clear opportunity to gain the benefits of a new market. The CPUC ignores the political economy of rulemaking at our risk.

The second is how is this proceeding to be integrated with the multitude of other proceedings at the CPUC that set various resource targets? The LTPP, energy efficiency, demand response and solar initiatives, along with others, all seem to run on parallel tracks with little in the way of interactive feedback. Megawatt targets seem to be set arbitrarily with little evaluation of comparative resource costs and effectiveness, and more importantly, how these resources might best integrate with each other. How are the utilities to adapt to the spread of DER if the CPUC hasn’t considered how much DER might be installed?

Both of these questions are about market functionality. Who are the likely participants? What are their incentives to act in different situations? How would the CPUC prefer that then act? How are price signals to be coordinated to create the preferred incentives? The system investment and operation rules are a necessary component of anticipating the market evolution, but they are not sufficient. California ignored the incentives of market participants in the previous restructuring experiment, at the cost of $20 to $40 billion. We should take heed of what we’ve learned from the past about the paradigm we should use to approach this impending change.