Avoided Cost Comparison Levelized Cost of Energy ($/MWh)

Avoided Cost Comparison Levelized Cost of Energy ($/MWh) Avoided Cost Comparison Levelized Cost of Energy ($/MWh)

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or when DPS will close the gap completely. The industry will have to maintain steady declines in costs before it is competitive with the costs of central generation. Cost of Distributed Generation – Levelized Cost of Energy Levelized cost of energy (LCOE) is a commonlyused metric that compares the cost per unit of energy (MWh) across different technology types. This metric translates upfront capital costs, ongoing expenditures, taxes and resource performance factors into a levelized, lifecycle energy cost that takes into account changes in costs and production over time. Formulaically, the LCOE refers to the present value of the lifecycle costs of a project divided by the present value of its lifecycle energy production. lCOE = Pv (lifecycle Costs) Pv (mwhEnergy Production) It is important to define a comparative cost metric such as LCOE in a rigorous way in order to avoid unintentionally introducing bias into the technology-specific results. For example, a model that fails to account for financing realities such as a minimum debt service coverage ratio (DSCR) required by lenders may unduly favor capitalintensive technologies. Therefore, the LCOE model used incorporates a minimum DSCR and many other factors in order to provide a realistic unbiased comparison across technologies. The 58 E3’s levelized cost analysis is fully documented and publicly available. The analysis can be verified and updated using E3’s Distributed Energy Costing Model available at www.ethree.com. 59 “SGIP Staff Proposal and Workshops,” California Public Utilities Commission, Last modified: February 15, 2011. (http://www.cpuc. ca.gov/PUC/energy/DistGen/sgip/proposal_workshops.htm); “California Solar Initiative Cost-Effectiveness Evaluation,” E3 (Prepared for the California Public Utilities Commission), April 2011. (http://ethree.com/documents/CSI/CSI percent20Report_Complete_E3_Final. pdf); “Tools & Spreadsheets,” California Public Utilities Commission, Last modified: June 17, 2011. (http://www.cpuc.ca.gov/PUC/energy/ Procurement/LTPP/LTPP2010/2010+LTPP+Tools+and+Spreadsheets.htm). 60 “LTPP Solar PV Performance and Cost Estimates: Potential and Levelized Cost of Energy (LCOE),” E3, June 18, 2010. (http://www.ethree. com/documents/LTPP/LTPP percent20Presentation.pdf) aSSESSIng THE ROlE OF dISTRIBuTEd POwER SySTEmS In THE u.S. POwER SECTOR 22 levelized cost analysis used for this analysis is fully documented and publicly available. 58 For the present analysis, capital and operating costs, capacity factors and tax treatment for all of the distributed technologies (with the exception of PV) were taken from the best available public sources. 59 All of the input assumptions and results by cost component for each scenario are provided in Annex 1. An ITRON SGIP study provides a robust review of distributed generation technology, cost and performance. For the PV technologies, we use capital and operating costs, capacity factors and tax treatment equivalent to the recent data published in the California Solar Initiative Cost-Effectiveness Report (for smaller projects) and E3’s 33 percent Renewable Costing Analysis completed for the Long Term Procurement Plan. The financing assumptions are provided in Table 2. The assumptions were validated with debt and equity providers and vetted through public stakeholder proceedings at the California Public Utility Commission. 60 The LCOE model applies the same Weighted Average Cost of Capital (WACC) and cost of debt across all technologies. The model then solves for the minimum equity required to maintain a DSCR of 1.40. The model also assumes that the project developer can take full advantage of all available state and federal tax incentives and depreciation. In this way, the model finds the most favorable project-finance structure for each technology, thus providing an equal comparison basis.

Table 2: lcoe financing assumPTions INPUT Assumption Percent Financed with Equity See note * After-Tax WACC 8.25 percent Debt Interest Rate 7.50 percent Cost of Equity Function of WACC, interest rate, percent equity Target Minimum DSCR 1.40 Debt Period in Years 18 Federal Tax Rate 35 percent State Tax Rate 6.6 percent Tax Credit Rate 30 percent * The model minimizes the percent equity constrained to a target average DSCR of 1.40 Benefits of Distributed Generation—Avoided Costs Quantified benefits include all of the costs that would have been incurred by the utility without the distributed generation in place. That is, the cost of generating and delivering the electricity to the customer with the conventional system. These quantified benefits are also known as “avoided costs” and include generation costs (energy and capacity), avoided or deferred transmission and distribution capacity investments and ancillary services such as reserves and regulation. The avoided costs of a distributed generator are area- and time-specific. That is, they can vary significantly according to where the distributed generation is located, the shape of its output profile and its reliability. In general, there are two categories of avoided costs; energy and capacity. Energy includes the avoided fuel and maintenance in the central generator as well as losses over the 61 The costs of central station generation are based on E3’s work for the Western Electricity Coordinating Council. The spreadsheet and assumptions are available at www.wecc.biz in the TEPPC Committee area under Documents, and “E3 Costing Tool.” The low values for transmission and distribution capacity value are zero, and the high values are $40/kW-year and $100/kW-year respectively and converted to $/MWh assuming a 50 percent distributed generation capacity factor. Natural gas is the relevant comparison for much of the West and Northeast, and coal fired steam turbines which reflect the predominant generation type in the Midwest, South, and Southeast. aSSESSIng THE ROlE OF dISTRIBuTEd POwER SySTEmS In THE u.S. POwER SECTOR 23 transmission and distribution lines to deliver the power. Capacity includes any avoided infrastructure investment such as additional power plants and transmission and distribution lines. In particular, the capacity avoided costs are sensitive to the output profile and reliability of the distributed generation on the system. Since the utility system is sized so that it can serve peak load reliably, if utility planners do not see a peak load reduction, or cannot count on a peak reduction because the distributed generation is unreliable, then they will continue to make infrastructure investments and capacity savings will be zero. Figure 7 compares a range of avoided costs for coal and natural gas regions in the U.S. showing a low value of approximately $25/MWh representing only energy, and a high value of $120/MWh representing avoided energy plus avoided new coal power plant, transmission and distribution infrastructure as well. 61 The distributed generation benefits would be at least $25/MWh almost regardless of when it operated and where it was located. To capture the capacity value it would have to be operating during the peak, and to capture the transmission and distribution capacity value the distributed generation would have to be located in a constrained portion of the utility grid and avoid upgrades. The low end of the avoided cost spectrum in each region represents the base energy value with little or no additional T&D or capacity components. Such a value may be appropriate for resources which are non-coincident with peak load, such as wind energy which is often producing power during evening hours. The higher value is based on avoidance of significant T&D investment and

or when DPS will close the gap completely. The<br />

industry will have to maintain steady declines in<br />

costs before it is competitive with the costs <strong>of</strong> central<br />

generation.<br />

<strong>Cost</strong> <strong>of</strong> Distributed Generation – <strong>Levelized</strong> <strong>Cost</strong> <strong>of</strong><br />

<strong>Energy</strong><br />

<strong>Levelized</strong> cost <strong>of</strong> energy (LCOE) is a commonlyused<br />

metric that compares the cost per unit <strong>of</strong><br />

energy (<strong>MWh</strong>) across different technology types.<br />

This metric translates upfront capital costs, ongoing<br />

expenditures, taxes and resource performance<br />

factors into a levelized, lifecycle energy cost that<br />

takes into account changes in costs and production<br />

over time. Formulaically, the LCOE refers to<br />

the present value <strong>of</strong> the lifecycle costs <strong>of</strong> a project<br />

divided by the present value <strong>of</strong> its lifecycle energy<br />

production.<br />

lCOE =<br />

Pv (lifecycle <strong>Cost</strong>s)<br />

Pv (mwh<strong>Energy</strong> Production)<br />

It is important to define a comparative cost metric<br />

such as LCOE in a rigorous way in order to<br />

avoid unintentionally introducing bias into the<br />

technology-specific results. For example, a model<br />

that fails to account for financing realities such as<br />

a minimum debt service coverage ratio (DSCR)<br />

required by lenders may unduly favor capitalintensive<br />

technologies. Therefore, the LCOE<br />

model used incorporates a minimum DSCR and<br />

many other factors in order to provide a realistic<br />

unbiased comparison across technologies. The<br />

58 E3’s levelized cost analysis is fully documented and publicly available. The analysis can be verified and updated using E3’s Distributed <strong>Energy</strong><br />

<strong>Cost</strong>ing Model available at www.ethree.com.<br />

59 “SGIP Staff Proposal and Workshops,” California Public Utilities Commission, Last modified: February 15, 2011. (http://www.cpuc.<br />

ca.gov/PUC/energy/DistGen/sgip/proposal_workshops.htm); “California Solar Initiative <strong>Cost</strong>-Effectiveness Evaluation,” E3 (Prepared for<br />

the California Public Utilities Commission), April 2011. (http://ethree.com/documents/CSI/CSI percent20Report_Complete_E3_Final.<br />

pdf); “Tools & Spreadsheets,” California Public Utilities Commission, Last modified: June 17, 2011. (http://www.cpuc.ca.gov/PUC/energy/<br />

Procurement/LTPP/LTPP2010/2010+LTPP+Tools+and+Spreadsheets.htm).<br />

60 “LTPP Solar PV Performance and <strong>Cost</strong> Estimates: Potential and <strong>Levelized</strong> <strong>Cost</strong> <strong>of</strong> <strong>Energy</strong> (LCOE),” E3, June 18, 2010. (http://www.ethree.<br />

com/documents/LTPP/LTPP percent20Presentation.pdf)<br />

aSSESSIng THE ROlE OF dISTRIBuTEd POwER SySTEmS In THE u.S. POwER SECTOR<br />

22<br />

levelized cost analysis used for this analysis is fully<br />

documented and publicly available. 58<br />

For the present analysis, capital and operating<br />

costs, capacity factors and tax treatment for all <strong>of</strong><br />

the distributed technologies (with the exception<br />

<strong>of</strong> PV) were taken from the best available public<br />

sources. 59 All <strong>of</strong> the input assumptions and results<br />

by cost component for each scenario are provided<br />

in Annex 1. An ITRON SGIP study provides a<br />

robust review <strong>of</strong> distributed generation technology,<br />

cost and performance. For the PV technologies,<br />

we use capital and operating costs, capacity<br />

factors and tax treatment equivalent to the recent<br />

data published in the California Solar Initiative<br />

<strong>Cost</strong>-Effectiveness Report (for smaller projects)<br />

and E3’s 33 percent Renewable <strong>Cost</strong>ing Analysis<br />

completed for the Long Term Procurement Plan.<br />

The financing assumptions are provided in Table<br />

2. The assumptions were validated with debt and<br />

equity providers and vetted through public stakeholder<br />

proceedings at the California Public Utility<br />

Commission. 60 The LCOE model applies the<br />

same Weighted Average <strong>Cost</strong> <strong>of</strong> Capital (WACC)<br />

and cost <strong>of</strong> debt across all technologies. The model<br />

then solves for the minimum equity required to<br />

maintain a DSCR <strong>of</strong> 1.40. The model also assumes<br />

that the project developer can take full advantage<br />

<strong>of</strong> all available state and federal tax incentives<br />

and depreciation. In this way, the model finds the<br />

most favorable project-finance structure for each<br />

technology, thus providing an equal comparison<br />

basis.

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