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Flexible mandates for investment in new technology

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Abstract

Environmental regulators often seek to promote forefront technology for new investments; however, technology mandates are suspected of raising cost and delaying investment. We examine investment choices under an inflexible (traditional) emissions rate performance standard for new sources. We compare the inflexible standard with a flexible one that imposes an alternative compliance payment (surcharge) for emissions in excess of the standard. A third policy allows the surcharge revenue to fund later retrofits. Analytical results indicate that increasing flexibility leads to earlier introduction of new technology, lower aggregate emissions and higher profits. We test this using multi-stage stochastic optimization for introduction of carbon capture and storage, with uncertain future natural gas and emissions allowance prices. Under perfect foresight, the analytical predictions hold. With uncertainty these predictions hold most often, but we find exceptions. In some cases investments are delayed to enable the decision maker to discover additional information.

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Notes

  1. Alternative compliance payment options have been a component of recent legislative proposals to promote renewable energy including Senator Bingaman’s Clean Energy Standard Act of 2012 and of several state renewable portfolio standard policies.

  2. Two years are required for the minumum lag between an investment decision and operation of a facility.

  3. The improved environmental performance with an ACP relative to an inflexible standard stands in contrast to the potential for higher emissions with a ceiling or safety valve on emissions prices under a cap-and-trade program. This outcome illustrates that the use of supplemental price policies can have positive environmental consequences in certain settings.

  4. For illustration, a facility could achieve the 1,000 lb \(\text{ CO }_{2}\)/MWh standard on a 30 year basis if it were to emit at 1,800 lb \(\text{ CO }_{2}\)/MWh for the first ten years of operation, which is achievable with supercritical generation technology, and commit to reducing its emissions rate beginning in the eleventh year to 600 lb \(\text{ CO }_{2}\)/MWh, which should be achievable with CCS.

  5. A noncompliance penalty (similar to an ACP) is currently authorized under the Act for heavy duty diesel engines, with revenues directed specifically to go to the general fund. Other programs also have financial penalties that could be interpreted as an ACP. Automobile manufacturers often have paid a penalty in lieu of compliance with CAFE.

  6. Estimates for a \(\text{ CO }_{2}\) price sufficient to justify investment in CCS range from $28–$30 (Sekar et al. 2007; Bergerson and Lave 2007), to $40 (Patino-Echeverri et al. 2007) to $50 (Reinelt and Keith 2007). Al-Juaied and Whitmore (2009) estimate first-of-a-kind plant is likely to have an abatement cost of $100–150 per metric ton \(\text{ CO }_{2}\) avoided, while a mature technology plant is likely to have an abatement cost of $30–50 per metric ton \(\text{ CO }_{2}\).

  7. See Appendix 4 in the appendix for an estimation of the range of ACP values that allow a flexible performance standard to be effective.

  8. See Appendix 5 in the appendix for a calculation of the upper bound of the retrofit penalty.

  9. More complete detail on these models and the simulation results is provided in Patino-Echeverri et al. (2012).

  10. In the business-as-usual baseline scenario there is no federal climate policy (labeled “0  %_L-M”). In the other three policy scenarios a federal climate policy is assumed to be in effect beginning in 2012 that specifies an emission cap with banking with an aggregate quantity of \(\text{ CO }_{2}\) emissions from the electricity sector that matches the quantity anticipated by the EIA in its analysis of S.280 (Lieberman-McCain) (EIA 2007a). This policy was chosen because unlike H.R. 2450 (Waxman-Markey) there is no free allocation to local distribution companies. With banking, the allowance price rises at the opportunity cost of capital (the real interest rate) of 8 % over time. The two other climate policy scenarios simply take the price trajectory for \(\text{ CO }_{2}\) from this run and diminish it by roughly 50  % (labeled “50 %_L-M”) or increase it by 50  % (labeled “150  %_L-M”) to achieve a different aggregate level of emissions. In every case \(\text{ CO }_{2}\) allowances are distributed through auction. The natural gas supply curves are fit to older data on the supply and prices of natural gas (EIA 2007b) to construct a supply curve for natural gas that reflects historic variability. In the low natural gas price case, the supply curve prices are reduced by 33 %; in the high natural gas price case, they are increased by 33 %. The price of natural gas is then solved endogenously, determined by the quantity demanded by gas-fueled electricity generators.

  11. The IECM model was developed by the Department of Engineering and Public Policy of Carnegie Mellon University with support from the United States Department of Energy’s National Energy Technology Laboratory NETL. The database provided by the model is a later vintage of the same database that was used for the MIT coal study (MIT 2007).

  12. The original goal is to set the ACP that achieves investment in CCS at the same time under the inflexible and flexible standard. However achieving investment at the same time is not always possible so we choose the minimum ACP that causes investment at the same time or earlier. Another possibility is choosing an ACP value that achieves the same emissions level under the inflexible and flexible standard, or an ACP value that achieves the same profits for investors. Future work will explore these alternatives.

  13. When natural gas price is at its mid level and there is no federal climate policy (mid0) the inflexible NSPS policy causes investment to be indefinitely postponed (beyond 2052), so in this case the surcharge value needed to replicate this result under a flexible NSPS policy is $0. Under perfect foresight and under the most strict federal climate policy, when natural gas prices are high (high150), no technology policy is necessary to get the IGCC with CCS to come on line, so again the surcharge value is $0.

  14. In the simulations, three rules are imposed to simplify the problem: the escrow fund does not earn intereset, the funds withdrawn cannot exceed the capital cost of CCS and funds can only be withdrawn once.

  15. This occurs because NG prices continuously rise even in the low NG price scenarios and in year 2045 it is more expensive to operate a NGCC plant than to buy electricity from the market. Anticipating high NG prices, the investor installs an IGCC+CCS plant in year 2044 but this plant is only ready for operation in 2046.

  16. The operation of the CCS retrofit begins in 2025, 2 years later than occurs under the flexible standard, but investment happens at the same time as under the flexible standard. The investment occurs because the ACP payment stops at the time of investment in CCS, but there is no constraint forcing investors to use such investment. This is the only case when a CCS investment is not used.

  17. Equation (8) assumes that the life-time of the retrofitted plant is always \(T\).

  18. Equation (10) is similar to Eq. (2) in the paper but it differs in that it is assumed that the life-time of the retrofitted plant is \(T\).

  19. In four scenarios emissions reductions are almost negligible and this causes a higher cost of abatement if the difference in profits is positive. We have omitted the value calculations for these cases because in the presence of a negligible change in emissions the abatement cost is meaningless.

    Table 7 Cost of \(\text{ CO }_{2}\) abatement ($/ton)

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Acknowledgments

The authors are grateful to Rich Sweeney, Susie Chung, Margaret Goulder, Varun Kumar, Erica Myers, Matthew Woerman and Anthony Paul for technical assistance, and to Catherine Wolfram and participants in seminars at Carnegie Mellon University and North Carolina State University for helpful comments. This study received support from the BigCCS Centre, formed under the Norwegian research program Centres for Environment-friendly Energy Research (FME), with contributions from the following partners: Aker Solutions, ConocoPhilips, Det Norske Veritas AS, Gassco AS, Hydro Aluminium AS, Shell Technology AS, Statkraft Development AS, Statoil Petroleum AS, TOTAL E&P Norge AS, GDF SUEZ E&P Norge AS, and the Research Council of Norway (193816/S60). Patino-Echeverri received financial support from the Center for Climate and Energy Decision Making funded by the National Science Foundation (SES-0949710).Model development was supported by EPA STAR grant RD-83099001, Mistra’s Climate Policy Research Forum (Clipore) and the Joyce Foundation.

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Correspondence to Dallas Burtraw.

Appendix: Technology choice and timing in the simulations

Appendix: Technology choice and timing in the simulations

Table 4 illustrates the technology choice and timing of investments for the base case and the three versions of technology policy, for the twelve scenarios, both under perfect foresight and uncertainty. Table 5 provides a mapping from numeric labels to technologies. For additional supporting information see Patino-Echeverri et al. (2012).

Table 4 Year of investment and technology installed with ACP that produces investment in CCS at the same time as the inflexible standard
Table 5 Cost and performance of investment alternatives

Three options for new investment use solid coal: sub-critical (sub), supercritical (super) and ultra-supercritical (ultra). In addition we investigate integrated gasification combined cycle coal-fired (IGCC) and natural gas combined cycle (NGCC). Each of these would satisfy standards for new sources for emissions of \(\text{ SO }_{2},\,\text{ NO }_{x}\), mercury and particulates. Each could come with or without CCS, or with retrofit CCS sometime after initial construction, which results in 10 different generation technologies but a total of 15 different investment alternatives with associated costs and emissions as shown in Table 4.

1.1 Appendix 1: effects of an inflexible performance standard

For each scenario under the base case and the inflexible performance standard, Table 4 presents the year when the first installation comes online Y1, the technology first installed T1, the year when a second installation (new plant or retrofit) comes online Y2, and the technology installed in the second installation T2.

When there is perfect foresight about the future natural gas price and climate policy, the introduction of an inflexible performance standard on new investments leads to delays in investment for all scenarios except where natural gas prices are high and climate policy is stringent (high150), where technology policy is not expected to have an effect because the initial investment includes CCS in the absence of the standard. When natural gas prices are at mid- level, and there is no federal climate policy (mid0), new investment never occurs.

When there is uncertainty about future natural gas prices and climate policy, compared to no technology policy, an inflexible performance standard causes investments to be delayed in 9 scenarios, unaffected in 1 scenario, and sped up in two scenarios. The acceleration of investment for the scenarios with high natural gas prices and stronger climate policy (high100 and high150) shows that under uncertainty the intuition that an inflexible standard would never speed up investment does not hold. In the case of scenario high150 the inflexible standard reduces uncertainty. For the scenarios with high natural gas prices, the only two power generation technologies that an investor would consider for an initial investment are an ultra-supercritical coal plant for the cases with no or weak climate policy (high0 or high50), or an IGCC plant for the mid or strong climate policy (high100 or high150). An NGCC plant is not competitive due to the high prices of the fuel, and the alternative of not installing any plant is not competitive because for these scenarios the expected electricity prices after 2020 are sufficiently high to motivate investment. Under no technology policy, it is optimal to wait one more year to have certainty about the climate policy scenario and decide whether an ultra-supercritical (without CCS) or an IGCC with CCS should be installed. Under an inflexible performance standard, there is no value of waiting one more year because the choice of an ultra-supercritical without CCS is not available.

1.2 Appendix 2: effects of a flexible standard

For the flexible standard we present the minimum surcharge level that produces investment in CCS at the same time or before the inflexible standard, which is denoted by \(\beta ^{*}\). For this \(\beta ^{*}\), we present the corresponding year of installation \(Y^{*}\) and CCS technology installed \(T^{*}\). For some scenarios \(T^{*}\) is different than the CCS technology installed for the first time under the inflexible standard.

The value of \(\beta ^{*}\) refers to the surcharge in $ per ton that must be paid for each ton in excess of the emissions standard. We assume \(\beta ^{*}\) increases every year at the same rate of discount used by the investor in the expected NPV calculations.

In each scenario, with perfect foresight, we identify a value of \(\beta ^{*}\) between $0 and $20 per ton of \(\text{ CO }_{2}\) that leads to investment in CCS at least as soon as under the inflexible performance standard. An increase in the value of the surcharge moves forward the time at which CCS technology is built. When natural gas prices are at mid- level and there is no federal climate policy (mid0) the inflexible standard causes investment to be indefinitely postponed (beyond 2052). In this case the surcharge value needed to replicate this result under a flexible performance standard is $0. Under perfect foresight and under the most strict federal climate policy, when natural gas prices are high (high150), no technology policy is necessary to get the IGCC with CCS to come on line, so the surcharge value is $0. For any other case under perfect foresight there is always a surcharge level \(\beta ^{*}\), for which investment in CCS will happen at the same time or before as under the inflexible standard.

The change in the timing and choice of generation technology can have an important effect on cumulative emissions. In three cases investment in newer technology, albeit absent CCS, comes years earlier than under the inflexible policy (low0, mid100, mid150). For the scenario with low natural gas prices and no federal climate policy (low0), a surcharge of $3 produces investment in IGCC with CCS the same year that it occurs under the inflexible NSPS policy. However, in the flexible case NGCC without CCS appears several years earlier and is subsequently replaced. For the scenarios with mid-level natural gas prices and mid- and stringent- level federal climate policy (mid100, mid150) a surcharge of $6 yields investment in a CCS retrofit for NGCC, subsequently replaced by IGCC with CCS, instead of the IGCC with CCS initially chosen under the inflexible standard. For these scenarios there is no surcharge value that would cause identical investment as under the inflexible standard.

When there is uncertainty about the future natural gas prices and federal climate policy, there are three scenarios (low100, high100, and high150) for which there is no surcharge value in the range of \(\beta ^{*}\le 20\) that yields installation of CCS at the same time or before than the inflexible standard. In these scenarios and for the set of values we examine, installation happens one or more years later than under the inflexible standard. For the scenario with mid-level natural gas prices with no climate policy (mid0), and the scenario with mid-level natural gas prices and stringent climate policy (mid150), no surcharge is needed to yield identical investment (e.g. \(\beta ^{*}=0\)). For the remaining scenarios there is a surcharge level that yields an identical investment to the one produced by the inflexible standard.

1.3 Appendix 3: effects of a flexible standard with escrow account

The escrow fund comprised of accumulated emission surcharge payments provides a source of funds that can be used to subsidize the cost of retrofitting a facility with CCS in the future. Thus the policy is most effective when the flexible policy by itself does not lead to CCS being installed with the initial investment. We have assumed the flexible performance standard with escrow fund operates with 3 rules that help destroy incentives for delaying CCS investment in the hopes for lower capital costs. The first rule specifies that the funds accumulated in the escrow account do not gain any interest. This makes delaying in CCS costly since the surcharge payment accumulates in an escrow fund that loses value with time. The second rule specifies that the maximum amount of funds withdrawn from the escrow cannot exceed the capital costs of the CCS investment (be it a CCS retrofit or a new plant with CCS included). This discourages accumulating funds in the escrow that exceed the capital costs of the needed CCS investment. The third rule specifies that funds from the escrow account can be withdrawn only once. This means that any funds not used for the first CCS investment (a retrofit or a new plant) are lost, which discourages accumulation of funds in the escrow and accelerates investment.

Under perfect foresight the \(\beta ^{*}\) values for the flexible standard with escrow are lower than without escrow for the 6 scenarios with climate policy and low or mid-natural gas prices (scenarios low50, low100, low150, mid50, mid100, mid150), and the same for the scenarios with no climate policy or high natural gas prices. For two of the scenarios (mid50 and mid100) the lower \(\beta ^{*}\) required to obtain CCS also causes earlier investment. Under low50 the flexible standard requires a \(\beta ^{*}\) of $13 to cause an investment in NGCC plant subsequently retrofit in year 2023, while the standard with escrow requires a \(\beta ^{*}\) of only $7 to produce earlier investment in NGCC and a CCS retrofit in 2023. In the mid50 scenario the flexible standard requires a \(\beta ^{*}\) of $9 to produce the installation of an IGCC plant with CCS in year 2030, while the standard with escrow requires a \(\beta ^{*}\) of $6 to cause an investment in NGCC subsequently retrofit in year 2025, and then replaced by IGCC with CCS. These results are consistent with a hypothesis suggesting that the introduction of an escrow account should not delay the timing of investment in CCS.

With uncertainty, the timing and choice of investments is identical to the flexible standard and there is no change in the \(\beta ^{*}\)values, and as expected the fund does not delay investment in new generation or CCS.

1.4 Appendix 4: ACP values required for an effective flexible standard

For a flexible policy to be effective the ACP must be low enough to allow installation of uncontrolled facilities when the capital costs of CCS are too high, but high enough to motivate a CCS retrofit at the same time or earlier than when a CCS plant would be installed under an inflexible technology policy.

An investment in a new uncontrolled plant will occur when the emissions costs of such plant (i.e. paying for a carbon tax + ACP) are lower than the capital and O&M costs of a CCS plantFootnote 17:

$$\begin{aligned} \sum _{t=\tau }^{\tau +T} {d^{(t-\tau )}v\left( {e o+\left( {e-s} \right) \beta } \right) } \le vc_\tau ^{pc} +\sum _{t=\tau }^{\tau +T} {d^{(t-\tau )}v\left( {m^{pc}+e^{pc}o} \right) } \end{aligned}$$
(6)

Assuming a discount rate of zero (i.e. \(d\)=1), no carbon tax (i.e. \(o\)=0), and emissions from the CCS plant \(e^{pc}\) being less than \(s \)we find the lower bound of the ACP as:

$$\begin{aligned} \beta \le \frac{c_\tau ^{pc} }{T(e-s)}+\frac{m^{pc}}{(e-s)} \end{aligned}$$
(7)

Note that since \(\left( {e-s}\right) \) represents the amount of emissions abated with CCS, Eq. 7 indicates that at the time of installation of the uncontrolled plant \(t=\tau \) the ACP must be less than the per unit cost of emissions abatement (capital + O&M) from a CCS plant.

Similarly, an upper bound for the ACP is given by the per unit capital and O&M cost of abatement of a retrofitted plant at a time \(t=\upsilon \):

$$\begin{aligned} \beta \ge \frac{\left( {1+z} \right) c_\upsilon ^{pc}}{T(e-s)}+\frac{m^{pc}}{(e-s)} \end{aligned}$$
(8)

In conclusion if the ACP is in the range indicated by 7 and 8 for \(\tau ^{\mathrm{bsln}}\le \tau \le \upsilon \le \tau ^{\mathrm{std}}\) the flexible standard will be effective. In the case where the flexible standard is complementing a carbon tax policy, the ACP value needs to be reduced by the carbon tax \(o\), so that the new threshold is:

$$\begin{aligned} \frac{c_\tau ^{pc} }{T(e-s)}+\frac{m^{pc}}{(e-s)}\ge \beta +o\ge \frac{\left( {1+z} \right) c_\upsilon ^{pc}}{T(e-s)}+\frac{m^{pc}}{(e-s)} \end{aligned}$$
(9)

1.5 Appendix 5: effects of the retrofit penalty

As discussed in Sect. 3.2, the effectiveness of a flexible new source performance standard depends on the existence of a pollution control technology without prohibitive cost penalties for retrofit installations and the expectation that the capital costs of this technology will gradually come down. Under the flexible policy mechanism, investors will find that delaying the CCS installation is profitable if there is the expectation that sometime in the future the gains from postponing the investment to take advantage of reductions in capital costs are higher than the extra cost of a retrofit installation.

In this section we find a threshold for the retrofit penalty \(z\) above which the flexibility of the emissions standard becomes irrelevant.

An investment in CCS (at the same time as the initial investment in the plant or as a retrofit) will occur if and only if the net present value of the reduction in emissions costs over the planning horizon exceeds the capital and O&M costs of the CCS equipment. If we assumed that the CCS retrofit extends the lifetime of the plant, then a retrofit will occur when Eq. (10) is satisfiedFootnote 18:

$$\begin{aligned} \sum _{t=\upsilon }^{\upsilon +T} {d^{(t-\upsilon )}v\left( {e o+\left( {e-s} \right) \beta } \right) } \ge v\left( {1+z} \right) c_\upsilon ^{pc} +\sum _{t=\upsilon }^{\upsilon +T} {d^{(t-\upsilon )}v\left( {m^{pc}+e^{pc}o} \right) } \end{aligned}$$
(10)

Under this assumption, retrofit will occur at or after a year \(\upnu >\uptau \) such that:

$$\begin{aligned} \left( {1+z} \right) c_\upsilon ^{pc} \le c_\tau ^{pc} \end{aligned}$$
(11)

If capital costs of CCS decline by a factor \(l \)such that the capital costs at a time t are given by:

$$\begin{aligned} c_t^{pc} =\left( {1-l} \right) ^{t}c_{0}^{pc} \end{aligned}$$
(12)

Then for a retrofit to occur at year \(\nu \) after an initial installation of the base plant at year \(\tau \), the retrofit penalty factor \(z\) must be less than the cumulative reduction in capital costs due to learning by doing:

$$\begin{aligned} z\le \left( {1-l} \right) ^{\tau -\upsilon }-1 \end{aligned}$$
(13)

Table 5 shows the maximum value of the retrofit penalty factor for different combinations of the annual percentage reduction in CCS capital costs, and the number of years between the initial plant installation and the retrofit:

Note that if the lifetime of the retrofitted plant is determined by the age of the uncontrolled plant as stated in Eq. (2), then the upper bounds of the retrofit penalty are lower than those presented in Table 6, since investors will have less time to recover the capital costs of the CCS investment. However, in the simulation analysis we assume that the retrofit extends the lifetime of the CCS plants as in Eq. 6.

Table 6 Maximum value of the retrofit penalty factor \(z\)( %)

As discussed in the paper, the simulation assumes that current capital costs of CCS are twice what they will be in year 12 of the simulation. This implies an annual learning rate \(l\) of 5.6 percent. If we assumed that emissions costs are constant (i.e. \(o\) and \(b\) are constant as suggested by Eq. 6) and there are no other environmental benefits or costs (due to emissions costs of other pollutants such as \(\text{ SO }_{2},\,\text{ NO }_{x}\), and mercury) then from Table 6 it can be observed that as long as there are 3 or more years between the initial plant installation and the retrofit, penalties of 20 % as assumed for the Pulverized Coal plants are within the bounds of penalties that allow the Flexible Emissions Standard to have a positive effect. Similarly, for the IGCC, a CCS retrofit penalty of 30 % requires that there are at least 5 years between the base plant installation and the retrofit. Note however than in the simulation there are other factors such as economic benefits from reduced compliance costs for other air pollutants, affecting the profitability of initial investments and retrofits.

1.6 Appendix 6: cost of CO\(_{2}\) emissions abatement

Table 7 shows the cost of \(\text{ CO }_{2}\) emission abatement under the three technology policies considered. The cost is found by dividing the reduction in the net present value of the change in investors’ profits by the reduction in cumulative \(\text{ CO }_{2}\) emissions over 43 years. Under perfect foresight, \(\text{ CO }_{2}\) emissions under the inflexible standard increase and profits decrease for the first 8 scenarios implying that compared to the baseline (i.e. no technology policy) the inflexible policy increases emissions while reducing investors’ profits. In contrast, the flexible policies in general reduce emissions at a cost that range from near $0 to $46/ton of \(\text{ CO }_{2}\).Footnote 19 For the mid100 scenario the flexible policy has higher emissions and lower profits than under no technology policy, but profits are higher and emissions are lower than under the inflexible standard. Since the ACP for the flexible policies is set to achieve CCS installation at the same time or earlier than under the inflexible standard, it is unsurprising that the outcomes of these flexible policies are not always superior to those with no technology policy.

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Patino-Echeverri, D., Burtraw, D. & Palmer, K. Flexible mandates for investment in new technology. J Regul Econ 44, 121–155 (2013). https://doi.org/10.1007/s11149-013-9220-0

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