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ReportDOI

2011 Cost of Wind Energy Review

TL;DR: In this article, the levelized cost of energy (LCOE) for a typical land-based wind turbine installed in the United States in 2011, as well as the modeled LCOE for a fixed-bottom offshore wind turbine, were presented.
Abstract: This report describes the levelized cost of energy (LCOE) for a typical land-based wind turbine installed in the United States in 2011, as well as the modeled LCOE for a fixed-bottom offshore wind turbine installed in the United States in 2011. Each of the four major components of the LCOE equation are explained in detail, such as installed capital cost, annual energy production, annual operating expenses, and financing, and including sensitivity ranges that show how each component can affect LCOE. These LCOE calculations are used for planning and other purposes by the U.S. Department of Energy's Wind Program.

Summary (4 min read)

As the operational life for the reference project moves toward 30 years, the LCOE will decrease

  • Offshore wind assumptions and ranges for key LCOE input parameters Source: NREL Along with the reference LCOE estimates, NREL researchers created additional land-based wind project scenarios to demonstrate the impact of two specific project permutations: lower installed capital cost and higher average annual wind speed.
  • The altered variables and their resulting LCOE are summarized in Table ES3.

Net annual energy production (MWh/MW/yr) 3,263 3,263 3,578

  • LCOE ($/MWh) $72 $62 $65 xi From these results, researchers came to the following key conclusions: Final LCOE estimates differ only slightly from those in the 2010 report.
  • The anticipated expiration of the PTC forced substantial acceleration of wind development; so much that, even with the January 1, 2013, extension of the PTC, demand for new wind projects is expected to be weak.
  • To address these two sources of uncertainty, model estimates for installed capital cost and capacity factor are forced to reflect market data by applying a “market adjustment” and generic “losses” terms in the model.
  • The following sections of this report describe each componentICC, AOE, AEP, and FCRof the LCOE equation, market context, and range of data for typical U.S. wind projects in the year 2011.
  • Given these inputs as well as the additional variables considered to reflect the reference project and summarized in Table 1 below, the resulting LCOE is $72/MWh.

Data

  • Because of capital cost variability, estimates for each capital cost component were established using the NREL wind turbine design cost and scaling model and a market price adjustment was added to bring the all-in capital cost in line with the industry average.
  • This analysis does not attempt to predict which capital cost components are influenced by the market price adjustment, as these impacts can vary from project to project.
  • Wiser and Bolinger (2012) reported an average O&M value of $28/kW/yr that generally incorporates the costs of wages and materials associated with operating and maintaining a facility, but likely excludes other elements such as insurance, taxes, or 9 Additional detail on the new BOS data and scaling relationships will be published in a separate report later this year.

3.3.1 Turbine Parameters

  • Turbine parameters are characteristics that are specific to the turbine and independent of wind characteristics.
  • These parameters consist not only of turbine size (such as rated power, rotor diameter, and hub height), but also of turbine operating characteristics [such as maximum rotor capacity (Cp), maximum tip speed, maximum tip-speed ratio (TSR), and drivetrain design].
  • Because the geared drivetrain topology dominates the U.S. market, a geared drivetrain was selected for the baseline turbines.
  • For the specific approach used regarding additional turbine parameters (e.g., power curves), see the 2010 Cost of Wind Energy Review.

3.3.2 Wind Resource

  • The annual average wind speed chosen for the reference project analysis is 7.25 meters per second (m/s) at a 50-m height above ground level (7.75 m/s at hub height).
  • This wind speed is representative of a Class 4 wind resource (7−7.5 m/s) and is intended to be generally indicative of the wind regime for projects installed in moderate quality sites in the “heartland” (Minnesota to Oklahoma).

3.3.3 Losses

  • Losses are treated as independent of any other input in this simplified analysis.
  • Types of losses accounted for in this analysis include array losses, collection and transmission losses (from the substation to the point 11 of interconnection), soiling losses, and availability.
  • Net annual energy production is calculated by applying all losses to the gross AEP.
  • Table 4 shows the AEP, capacity factors, and losses and availability for the land-based reference turbine operating in 2011.

3.3.4 Land-Based Wind Finance

  • Throughout 2011, the financing environment remained relatively steady for land-based wind development.
  • The extension of the Section1603 cash grant program through 2011 allowed for continued flexibility in project developer’s incentive election options between the 30% cash payment or tax incentive mechanisms, such as the production tax credit.
  • On the debt side, Wiser and Bolinger (2010) indicated that 6% interest of all-in debt rates were achievable in 2010 (Wiser and Bolinger 2011) and rates were at or below 6% again in 2011 (Wiser and Bolinger 2012), although loan lengths appeared to have shortened.

Cost

  • Calculation Table 13 summarizes the offshore wind technology reference project by providing the component cost categories for the 3.6-MW turbines in the project as well as the LCOE calculation results.
  • These estimates are applied to the total capital cost estimate to generate individual component costs.
  • NREL plans to continue to collect market data and develop bottom-up cost models in 2013.
  • As was the case for land-based projects, these inputs are subject to considerable uncertainty.
  • This selection of ranges provides insight into how real-world ranges influence LCOE.

3.7.1 Decreased Capital Cost

  • Wiser and Bolinger (2012) suggested that 2009/2010 represented a likely peak in installed capital cost based on 2011’s slightly lower averages and estimates for 20 projects in 2012 that were reported to be even lower.
  • With turbine prices peaking in 2008/2009 and continuing in a downward trend, it is reasonable to expect that installed capital cost would continue in a downward trend as well, because of the lag time between negotiations of turbine supply contracts, power purchase agreements, and project commissioning.
  • If installed capital costs continue downward and match the initial 2012 estimated average reported by Wiser and Bolinger (2012) in midyear (approximately $1,750/kW), the reference project LCOE would be expected to fall to $62/kWh (Table 7).

3.7.2 Increased Annual Average Wind Speed

  • A number of factors, such as policy influences, siting impacts, and technology changes, have led to the recent trend in siting wind projects in areas of reduced wind resource quality (Wiser and Bolinger 2012).
  • It is important to note that the decrease in LCOE resulting from the better wind resource may also be achieved with a taller tower or a larger rotor for the same turbine power rating.
  • If these technological advances can be implemented without a concurrent increase in either ICC or AOE (using advanced controls or design innovations), the net effect could be similar.
  • The lack of domestic experience with offshore wind technology has contributed to considerable uncertainty in estimates of the potential cost of offshore wind energy in the United States.
  • This report provides an update to the 2010 report including trends in capital costs observed outside of the United States as well as recent market conditions.

Model Capacity factor (%) 39

  • Projects under development are plotted based on their anticipated commissioning date.
  • Because the forward-looking global and domestic capital cost environment does not appear to have shifted, the reference project installed capital cost of $5,600/kW is maintained with the range of estimates for commercial-scale projects15 that received regulatory approval, excluding noted outliers, extending from approximately $4,500/kW to $6,500/kW.
  • Percentage estimates are based on the NREL wind turbine design cost and scaling model (Fingersh et al. 2006, Maples et al. 2010); several recent publications (Douglas-Westwood 2010, BVG Associates 2011, Deloitte 2011); and conversations with U.S. offshore wind project developers.
  • The percentage estimates in Figure 5 were applied to the all-in capital cost estimate of $5,600/kW to generate individual component costs in dollars per kilowatt for the 2011 reference project.

Port and staging 73 3

  • 3 Annual Operating Expenses for Offshore Wind.
  • There has been no indication that expected annual operating expenses for offshore wind projects have shifted between 2010 and 2011.
  • U.S. developers have announced capacity factor expectations for nine project sites currently under development.
  • Because net AEP and the corresponding net capacity factor will vary with the wind resource and project design, the authors assume specific site characteristics that are common to the North Atlantic Coast for the reference offshore wind project.
  • Table 10 shows the assumptions used to calculate the net AEP for the reference project.

Losses

  • We, the NREL authors, also assume that offshore wind projects will experience losses from array impacts, availability, and inefficiencies in power collection and transmission.
  • These data show that the 2011 baseline project will deliver 3,406 MWh per megawatt of installed capacity annually, which is equivalent to a net capacity factor of 39%.
  • The specific structures are not examined in this analysis.

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NREL is a national laboratory of the U.S. Department of Energy, Office of Energy
Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy,
LLC.
Contract No. DE-AC36-08GO28308
2011 Cost of Wind Energy
Review
S. Tegen, E. Lantz
, M. Hand, B. Maples,
A. Smith, and P. Schwabe
National Renewable Energy Laboratory
Technical Report
NREL/TP
-5000-56266
March
2013

NREL is a national laboratory of the U.S. Department of Energy, Office of Energy
Efficiency & Renewable Energy,
operated by the Alliance for Sustainable Energy, LLC.
National Renewable Energy Laboratory
15013 Denver West Parkway
Golden, Colorado 80401
303-275-3000 www.nrel.gov
Contract No. DE-AC36-08GO28308
2011 Cost of Wind Energy
Review
S. Tegen, E. Lantz, M. Hand, B. Maples, A.
Smith, and P. Schwabe
National Renewable Energy Laboratory
Prepared under Task No. WE11.1201
Technical Report
NREL/TP
-5000-56266
March 2013

NOTICE
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i
Acknowledgments
The work contained in this report has been funded by the U.S. Department of Energy’s (DOE’s)
Office of Energy Efficiency and Renewable Energy Wind and Water Power Program. This work
has been performed under Contract No. DE-AC36-08-GO28308 with the National Renewable
Energy Laboratory (NREL).
The authors would like to extend thanks to Mark Higgins from the DOE Wind and Water Power
Program for supporting this research. Thanks also to Jose Zayas, Patrick Gilman, Cash
Fitzpatrick, and Rich Tusing (contractor) of the DOE Wind and Water Power Program as well as
Ann Brennan, Robin Newmark, Fort Felker, and Brian Smith of NREL for reviewing and
providing strategic guidance in the development of this work. Thanks to Paul Veers (NREL),
Edward James Smith (Ea Energianalyse), Aidan Duffy (Dublin Institute of Technology),
Athanasia Arapogianni (European Wind Energy Association), and Brendan Cleary (Dublin
Institute of Technology) for reviewing earlier versions of this report. Any remaining errors or
omissions are the sole responsibility of the authors.

ii
List of Acronyms
AEP Annual energy production
AEP
net
Net annual energy production
AOE Annual operating expenses
AWEA American Wind Energy Association
BNEF Bloomberg New Energy Finance
BOEM Bureau of Ocean Energy Management
BOS Balance of station
CF
net
Net capacity factor
C
p
Coefficient of performance
CRF Capital recovery factor
DOE U.S. Department of Energy
DOI U.S. Department of the Interior
EIA U.S. Energy Information Administration
ENS Danish Ministry of Energy and Environment
EPRI Electric Power Research Institute
FCR Fixed charge rate
GWEC Global Wind Energy Council
ICC Installed capital cost
JEDI Jobs and Economic Development Impact
kW Kilowatt
LCOE Levelized cost of energy
LLC Land lease cost
LRC Levelized replacement cost
MACRS Modified Accelerated Cost Recovery System
MW Megawatt
MWh Megawatt-hour
NREL National Renewable Energy Laboratory
O&M Operation and maintenance
OCS Outer Continental Shelf
PPA Power purchase agreement
PTC Production tax credit
PVdep Present value of depreciation
TSR Tip-speed ratio
WACC Weighted average cost of capital

Citations
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Abstract: Energy storage (ES) is a pivotal technology for dealing with the challenges caused by the integration of renewable energy sources. It is expected that a decrease in the capital cost of storage will eventually spur the deployment of large amounts of ES. These devices will provide transmission services, such as spatiotemporal energy arbitrage, i.e., storing surplus energy from intermittent renewable sources for later use by loads while reducing the congestion in the transmission network. This paper proposes a bilevel program that determines the optimal location and size of storage devices to perform this spatiotemporal energy arbitrage. This method aims to simultaneously reduce the system-wide operating cost and the cost of investments in ES while ensuring that merchant storage devices collect sufficient profits to fully recover their investment cost. The usefulness of the proposed method is illustrated using a representative case study of the ISO New England system with a prospective wind generation portfolio.

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Cites background from "2011 Cost of Wind Energy Review"

  • ...Note that depreciation can be factored in parameters ceSoC and cp , as explained in [23], if decision-makers have a reasonable estimate of the residual worth of installed ES....

    [...]

References
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TL;DR: The Working Group III Special Report on Renewable Energy Sources and Climate Change Mitigation (SRREN) presents an assessment of the literature on the scientific, technological, environmental, economic and social aspects of the contribution of six renewable energy sources to the mitigation of climate change as mentioned in this paper.
Abstract: IPCC Special Report on Renewable Energy Sources and Climate Change Mitigation - Summary for Policy Makers / O. Edenhofer et al., eds. Cambridge University Press, May 2011. Abstract (RAEL/LBL) : The Working Group III Special Report on Renewable Energy Sources and Climate Change Mitigation (SRREN) presents an assessment of the literature on the scientific, technological, environmental, economic and social aspects of the contribution of six renewable energy (RE) sources to the mitigation of...

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TL;DR: In this article, the authors present the outcomes of a recent study carried out among wind energy manufacturers and developers regarding the current generation costs of wind energy projects in Europe, the factors that most influence them, as well as the reasons behind their recent increase and their expected future evolution.
Abstract: This article presents the outcomes of a recent study carried out among wind energy manufacturers and developers regarding the current generation costs of wind energy projects in Europe, the factors that most influence them, as well as the reasons behind their recent increase and their expected future evolution. The research finds that the generation costs of an onshore wind farm are between 4.5 and 8.7 scent/kWh; 6–11.1 scent/kWh when located offshore, with the number of full hours and the level of capital cost being the most influencing elements. Generation costs have increased by more than 20% over the last 3 years mainly due to a rise of the price of certain strategic raw materials at a time when the global demand has boomed. However, the competitive position of wind energy investments vis-a ` -vis other technologies has not been altered. In the long-term, one would expect production costs go down; whether this will be enough to offset the higher price of inputs will largely depend on the application of correct policies, like RD introduction of advanced siting and forecasting techniques; access to adequate funding; and long-term legal stability.

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ReportDOI
01 Dec 2006
TL;DR: In this article, the authors provide projections of the impact on cost from changes in economic indicators such as the Gross Domestic Product (GDP) and the Producer Price Index (PPI).
Abstract: This model intends to provide projections of the impact on cost from changes in economic indicators such as the Gross Domestic Product and Producer Price Index.

520 citations


"2011 Cost of Wind Energy Review" refers background or methods in this paper

  • ...“Model” refers to the techno-economic models used, such as the National Renewable Energy Laboratory’s (NREL’s) wind turbine design cost and scaling model (Fingersh et al. 2006, Maples et al. 2010)....

    [...]

  • ...Principally, NREL’s wind turbine design cost and scaling model (Fingersh et al. 2006, Maples et al. 2010) is used to estimate the capital cost and AEP of a project based on turbine rated capacity, rotor diameter, hub height, and a representative wind resource....

    [...]

  • ...For information on the assumptions and inclusions of the individual components, see Tegen et al. (2012), Maples et al. (2010), and Fingersh et al. (2006)....

    [...]

ReportDOI
01 Jun 2011
TL;DR: In this article, the authors describe the status of the U.S. wind energy industry market in 2010; its trends, performance, market drivers and future outlook; and its trends and performance, as well as future outlook.
Abstract: This report describes the status of the U.S. wind energy industry market in 2010; its trends, performance, market drivers and future outlook.

292 citations


"2011 Cost of Wind Energy Review" refers background or methods in this paper

  • ...On the debt side, Wiser and Bolinger (2010) indicated that 6% interest of all-in debt rates were achievable in 2010 (Wiser and Bolinger 2011) and rates were at or below 6% again in 2011 (Wiser and Bolinger 2012), although loan lengths appeared to have shortened....

    [...]

  • ...1 Decreased Capital Cost Wiser and Bolinger (2012) suggested that 2009/2010 represented a likely peak in installed capital cost based on 2011’s slightly lower averages and estimates for 20 projects in 2012 that were reported to be even lower....

    [...]

  • ...Land-based wind project cost estimates were derived primarily from installed project data reported by Wiser and Bolinger (2012) and supplemented with outputs from NREL’s wind turbine design cost and scaling model....

    [...]

  • ...Wiser and Bolinger (2012) reported an average O&M value of $28/kW/yr that generally incorporates the costs of wages and materials associated with operating and maintaining a facility, but likely excludes other elements such as insurance, taxes, or...

    [...]

  • ...This analysis interprets the Wiser and Bolinger (2012) estimates as a pretax value while the LCOE equation treats O&M expenses as tax deductible....

    [...]

Frequently Asked Questions (11)
Q1. Why were the assumptions held constant from the previous land-based wind LCOE analysis?

Because of the lack of large fluctuations in the cost and availability of debt and equity capital from 2010 to 2011, the financing assumptions were held constant from the previous land-based wind LCOE analysis. 

In the reference project layout, the turbines are spaced at 8 rotor diameters apart and connected to the substation using a simple radial 33-kilovolt (kV) collection system design. 

For land-based wind technology calculations, the U.S. had over 46,000 megawatts (MW) of capacity installed and operating in 2011. 

NREL’s wind turbine design cost and scaling model (Fingersh et al. 2006, Maples et al. 2010) is used to estimate the capital cost and AEP of a project based on turbine rated capacity, rotor diameter, hub height, and a representative wind resource. 

In 2012 and going forward, NREL will continue to work with industry and national laboratory partners to obtain project-specific data to validate and improve models. 

This model uses scaling relationships at the component level (e.g., blade, hub, generator, and tower) developed with curve-fit industry data, published scaling models, and turbine models developed through the WindPACT studies (e.g., Malcolm and Hansen 2006) that reflect component-specific and often nonlinear relationships between size and cost (see Appendix C in Tegen et al. 2012). 

Assuming 18% total losses, AEPnet is estimated for offshore wind projects using commercially available technology and the NREL wind turbine design cost and scaling model. 

These assumptions will likely be revised in future editions of this report, based on the expiration of the Section1603 cash grant program and macroeconomic issues, such as new banking regulations or continued credit challenges in Europe. 

Continued collaboration with industry could lead to better data, enhanced modeling capabilities, and increased awareness of current and future wind power system component costs. 

Given the market and model data available, the general approach for estimating the levelized cost of wind energy includes:1. Evaluating market conditions and data for projects that have been installed in the United States (or in Europe and Asia when considering offshore wind technology) in a given year, to understand installed project cost, AEP, operating costs, and representative turbine technology. 

When there were multiple cost estimates for a given project, costs were averaged: 1 EUR = 1.392 USD; 1 GBP = 1.604 USD; 1 DKK = 0.187 USD; 1 SEK = .157 USD; 1 NOK = 0.165; and CNY = 0.155 USD (x-rates.com 2011).