A sustainable energy economy is one that reliably meets demand at reasonable cost and accounts for externalities that are not reflected in the current cost of fossil-fuel energy (e.g., NRC, 2010a; Tester et al., 2005). No single technology, renewable or otherwise, will be sufficient to satisfy these conditions on its own, so we will need a portfolio of energy options. Moreover, new technologies must be incorporated into society, and so, beyond conversion efficiency and price per kWh, there are several factors to consider in attempting to increase the share of renewable power in both countries’ generation portfolios.
In this chapter, we examine U.S.-Chinese cooperation in the context of integrating a variety of technologies into a cohesive energy system. We will also discuss some of the “enablers” of renewable power and identify barriers to the proliferation of renewables that will have to be overcome in the medium (2020 to 2035) and long term (to 2050).
For the next decade, deploying energy efficiency technologies will be the lowest-cost option for moderating energy demand (NAS/NAE/NRC, 2009a; 2010b), that is, reducing the amount of energy input required to deliver an expected level of service. Improvements in energy efficiency might even make it possible to delay, or eliminate, the need for new generation in some regions (NAS/NAE/NRC, 2010b). In the context of an integrated, sustainable energy
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6
Transitioning to a Sustainable
Energy Economy
A sustainable energy economy is one that reliably meets demand at reason -
able cost and accounts for externalities that are not reflected in the current cost of
fossil-fuel energy (e.g., NRC, 2010a; Tester et al., 2005). No single technology,
renewable or otherwise, will be sufficient to satisfy these conditions on its own,
so we will need a portfolio of energy options. Moreover, new technologies must
be incorporated into society, and so, beyond conversion efficiency and price per
kWh, there are several factors to consider in attempting to increase the share of
renewable power in both countries’ generation portfolios.
In this chapter, we examine U.S.-Chinese cooperation in the context of
integrating a variety of technologies into a cohesive energy system. We will also
discuss some of the “enablers” of renewable power and identify barriers to the
proliferation of renewables that will have to be overcome in the medium (2020
to 2035) and long term (to 2050).
MOVING TOWARD INTEGRATED SYSTEMS
Aligning Energy Efficiency and Renewable Energy Goals
For the next decade, deploying energy efficiency technologies will be the
lowest-cost option for moderating energy demand (NAS/NAE/NRC, 2009a;
2010b), that is, reducing the amount of energy input required to deliver an
expected level of service. Improvements in energy efficiency might even make
it possible to delay, or eliminate, the need for new generation in some regions
(NAS/NAE/NRC, 2010b). In the context of an integrated, sustainable energy
5
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5 ThE POWER OF RENEWAbLES
economy, energy efficiency can offset the typically higher costs of energy from
cleaner, mostly renewable, generation technologies.
Consider for example, the state of Hawaii, which intends to reduce electric -
ity usage by 30 percent by 2030 while providing 40 percent of the remaining
generation through renewable resources. If current energy use is 14,300 GWh,
the 2030 goal would be met by reducing annual consumption by 4,300 GWh,
and by serving 40 percent of the remaining load (4,000 GWh of 10,000 GWh
total) through renewable power generation. Aligning energy efficiency strate -
gies with longer term renewable energy goals effectively increases the share
of renewables in the generation portfolio. Unless the rising demand for energy
is addressed, increases in renewables and other clean energy options could be
offset by even more rapid increases in primary energy demand, with the balance
being met by fossil fuels.
China has put energy efficiency at the forefront of its policies to improve
energy security, alleviate pressure on domestic resources (particularly coal and
water for thermal power generation), and reduce environmental impacts as its
economy expands. Energy efficiency and conservation are now a top priority in
its energy planning and industrial development strategies, as reflected in its goals
to reduce energy intensity (energy consumed per unit of GDP) by 20 percent from
2005 by the year 2020. Each province and major municipality has been assigned
a reduction target ranging from 12 to 30 percent.
China has recognized that more efficient use of energy at the household and
company levels translates into financial savings over time. Such savings could
offer a significant offset to the higher cost of generating renewable energy (NAS/
NAE/NRC, 2010a). In other words, if energy efficiency technologies can capture
cost savings in the near term, they can act as a bridge to the deployment of more
costly renewable energy technologies that could ultimately supplant conventional
fossil-fuel generation.
Modernizing the Grid
A modernized grid is widely considered an essential component of a sustain -
able energy infrastructure (see Chapter 3 for a technical discussion of devices
that comprise a modernized grid). The existing grids in both the United States
and China are typically considered impediments to the accelerated deployment of
renewables, because it is expensive to upgrade them in order to accept and bal-
ance large shares of electricity from variable-output sources like solar and wind
energy. Both countries continue to make sizeable public investments (more than
$7 billion each for 2010 [Zpr´ me, 2010]) in next-generation grid technologies,
y
and China is spending nearly 10 times that amount ($70 billion from its economic
recovery package) on new high-voltage transmission infrastructure (Robins et al.,
2009). In addition, because a substantial portion of China’s electricity grid has
yet to be built, certain regions in China could potentially “leapfrog” to a modern
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TRANSITIONING TO A SUSTAINAbLE ENERGy ECONOMy
grid system and effectively become experimental sites that would inform grid
retrofitting efforts in the United States.
A modernized grid would have three distinct advantages for the integration
of renewables. Most important, it would lead to more effective demand manage -
ment by enabling load-shifting or dispatchable demand to smooth out peaks or
take advantage of off-peak wind generation. Second, a modernized grid could
facilitate the proliferation of distributed power generation, which would enable
local and on-site generation (e.g., even for a single building) based on clean
energy. As discussed below, distributed generation has the advantage of allowing
for rapid deployment of renewables while minimizing the challenges associated
with the zoning or new transmission lines required to integrate these sources
directly into the existing distribution system. Third, a modern grid would make
it easier to incorporate energy storage technologies and other integration services
into the system itself to help optimize overall system performance. Utilities will
not necessarily have to add storage for variable-output generation (e.g., backup
for every wind turbine) as long as there are other options in the system to balance
variability and maintain reliability. Cost-effective energy storage would also allow
a utility to optimize available resources and dispatch electricity to correspond with
demand, enhancing the value of installed wind turbines and other variable-output
generators, as well as the value of the transmission lines.
The Tehachapi Wind Resource Area provides an example of how some of these
elements would need to come together to support large-scale wind farms. Current
estimates for wind power development in the Tehachapi region total 4,500 MW.
Roughly 13.5 GW of storage capacity would be needed to capture three hours
of generation if the region’s wind resources are fully developed, and the wind
farms are operating at full capacity. Alternatively, demand might be dispatched
to use available wind. Finally, as a last resort, some of the turbines may need to
be curtailed if alternate options are not in place to make use of the power when
it is generated.
Distributed Generation
A major benefit of many renewable power generation technologies is that
they are modular, which means they can be deployed at small scales (e.g., on
individual buildings) and within existing distribution networks, provided that they
include appropriate controls to maintain voltage. They are also appropriate for
small, off-grid applications. Because most of China’s early experience with the
deployment of renewable energy systems has been to supply remote rural areas,
the country has become a leader in small-scale hydropower, solar water heating,
biogas digesters, and micro-turbines for wind energy conversion. Despite rapid
urbanization in China, the population is still nearly 60 percent rural, and a substan-
tial portion of that population has limited access to electricity. Thus, distributed
generation will continue to be a priority in the countryside, and renewable power
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54 ThE POWER OF RENEWAbLES
technologies will enable rural communities to harness locally available, clean
energy resources.
Most current off-grid systems in China are powered by a single resource,
such as wind, and many of these systems include energy storage. As China
builds and maintains these systems, there will be opportunities to (1) build hybrid
systems that draw on more than one resource to optimize electricity availability,
(2) incorporate storage capabilities, and (3) develop appropriate controls to main-
tain reliability. Given the unique attributes of these off-grid systems (including
sustained national and international investment), they might even be preferable
to grid interconnections (which are constrained by prevailing electricity rates
and possible disruptions to the grid) as proving grounds for hybrid systems and
storage technologies.
Solar technologies are good candidates for distributed generation. China is
the world leader in the manufacture and deployment of solar water heaters, which
are now often more cost effective than gas water heaters—these technologies
are not used for generation, but the lessons in terms of incentivizing deployment
at a household- or individual consumer-level may transfer to rooftop PV. In the
United States, utilities have offered programs (e.g., net metering) to encourage
households to deploy rooftop PV systems. Recently, utilities have worked directly
with commercial and industrial sites to lease rooftops and open areas to deploy
PV systems; this helps utilities in warm climates to meet peak demand and can
delay or eliminate the need to build new natural-gas peaking plants. China has
been a leader in combined heat and power (CHP) technologies, although so far
these have typically been coal- or gas-based systems. An area for future research
will be to develop renewable-energy-powered systems that can provide heating,
cooling, and electricity on a building or neighborhood scale. Fuel cells are already
used in CHP applications and can use renewable fuel, and solar technologies are
another suitable candidate for CHP.
Distributed generation can play an important part in the transition to a sus -
tainable energy infrastructure. It offers advantages for utilities, which will be
able to incorporate new renewable capacity without the challenges associated
with zoning and permitting an entirely new site for development. In addition,
the close proximity of electricity generators to electrical loads will reduce some
of the costs associated with renewables, such as transportation costs and trans -
mission line power losses. For example, in China today, electricity is relatively
expensive along the coasts because of the high costs of transporting coal from
distant locations. Finally, distributed generation could make the electrical system
more resilient, which is a desirable quality for both utility operators and custom -
ers. This will depend on the specific technology and the local distribution grid
characteristics. Distributed systems tend to be more costly, on a per watt basis,
than central station or bulk renewable supplies, but this is highly dependent on
the existing infrastructure, retail rates for electric power, and other factors. Ulti -
mately, cost effectiveness and reliability concerns will dictate the deployment of
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TRANSITIONING TO A SUSTAINAbLE ENERGy ECONOMy
renewable distributed generation and storage, vis-à-vis fossil-fueled alternatives
or extensions to existing transmission and distribution networks.
Electricity-Powered Transportation
Both the United States and China have shown an interest in electricity-
powered vehicles as a means of reducing harmful mobile source emissions,
gaining a competitive edge in the growing market for manufacturing vehicles,
and reducing dependence on petroleum. Electrifying transportation systems could
also reduce some of the volatility associated with fuel prices. Although retail
electricity prices would still fluctuate based on the time of day, aggregate demand,
and other factors, producing a larger share of energy domestically could reduce
some of the risks associated with dependency on a complex, global value chain
for oil imports.
Electricity-powered transportation systems also have distinct advantages for
an integrated, sustainable energy economy. Although vehicle-to-grid storage is
not possible with today’s electric vehicles, batteries, and grid infrastructure, a
network of electric vehicles can (1) act as a network of distributed charging loads
that can be turned on and off, and (2) through proper communications systems
take advantage of wind resources, which tend to be more prevalent at night (when
many vehicles should be more optimally recharging).
As many studies have shown, because disruptive technologies, such as renew-
able power generators, do not necessarily follow the standard evolutionary path
(e.g., Christensen, 1997; NRC, 2009b) they may gain traction in new markets
before they actually displace incumbent technologies. Electrifying the transpor-
tation system in the United States or China that includes personal vehicles (e.g.,
plug-in electric vehicles [PEVs]), public transit, and other transportation modes
(e.g., electric-powered bicycles, which are already widely used in Chinese cit -
ies), would create a potentially enormous market for power generation. Whether
this new electricity demand would cause reliability issues and significant cost
increases depends on charge management. Therefore, it will be important to
develop rates and programs that encourage vehicle charging when it is optimal for
the system. Otherwise, PEVs could add additional peak load, increasing burdens
on infrastructure and overall costs.
There are numerous economic and technical challenges to electrifying the
existing transportation infrastructure in the United States (NRC, 2010c) and the
large and rapidly expanding transportation infrastructure in China. There are also
competing alternatives to electrified transportation, including improved internal
combustion engines and hydrogen fuel cells. Thus a diversified portfolio of
transportation technologies may be a more likely scenario (NRC, 2008, 2010c)
than a wholly electrified system. An NRC (2010c) study estimates that, by 2030,
13 to 40 million PEVs could be part of the U.S. vehicle fleet of 300 million
and that the costs and deployment of PEVs will depend largely on battery costs
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56 ThE POWER OF RENEWAbLES
(although charging vehicles at night to reduce grid congestion and use off-peak
power generation and other considerations would become increasingly important).
Additional factors such as government incentives, oil prices, and environmental
legislation will likely affect the deployment of PEVs.
According to Huo et al. (2010), widespread electric vehicle use in China, in
the absence of corollary efforts to reduce air pollution from the power genera -
tion sector, could have unintended environmental impacts, even though electric
vehicles would contribute to improvements in urban (i.e., local and regional) air
quality where vehicle exhaust from internal combustion engines is now a major
pollutant. Nevertheless, the authors suggest that China proceed with electrifica -
tion programs in regions where clean, low-carbon energy sources are available.
They also recommend that power-sector and transportation-sector policies be
coordinated, even though power-sector reform tends to be slower than changes
in the transportation sector because of the comparatively long lifespan of existing
capital stock. Reforming these two sectors concurrently, they argue, would link
the potential benefits to human health and the environment.
Urban Development
More than 80 percent of the U.S. population is urban, and U.S. cities consume
approximately 75 percent of the nation’s energy and are responsible for a similarly
large share of greenhouse gas (GHG) emissions (Grimm et al., 2008). China now
has more than 500 million urban residents, and that number is increasing rapidly.
Cities are “concentrations of buildings and associated infrastructure, and the built
environment, a key consumer of materials and energy, offers many opportunities
for savings” (WRI, 2005). Thus efforts to build a sustainable energy economy can
make considerable progress by addressing the needs of cities.
Although the effects of conventional energy use are felt on a regional and
global scale, many opportunities to reduce the impact of energy consumption, in
part by incorporating more renewable energy, will be on the local level (NAE/
NRC/CAE/CAS, 2007). In addition to growing concerns about human contribu -
tions to climate change, cities must respond to concerns about air quality, rising
energy costs, traffic congestion, and many other issues that can be addressed, at
least in part, by pursuing a more sustainable energy strategy.
Technology-based solutions will be important for changing this scenario, but
behavioral changes are also a major potential source of improvement, and cities
can be catalysts for these changes. Cities are already making changes through
policies for purchasing renewable power, the judicious use of incentives and
regulations to engage the private sector in developing renewables, and land-use
decisions that can impact a city’s energy profile.
Rizhao, China, is an example of a city where some of these factors—local and
provincial government financial support for solar R&D, local industries availing
themselves of these incentives, and political leadership committed to deploying
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57
TRANSITIONING TO A SUSTAINAbLE ENERGy ECONOMy
the new technologies—have converged. This northern Chinese city of 3 million
inhabitants uses solar technologies for almost all of its heating (buildings and
water) and much of the city’s outdoor lighting (Bai, 2007). In the United States,
Austin, Texas, Berkeley, California, and Madison, Wisconsin, also have very
aggressive renewable energy programs, policies, and incentives that have greatly
accelerated renewable energy development. The U.S. Department of Energy
(DOE) Solar America Cities Program is working with many city governments to
expand urban renewable energy development.
Cities are also well positioned to educate their communities on sustainable
energy use. Public education can build support for local strategies and pressure
state and national officials to adopt policies that promote sustainable energy use.
Local projects to develop renewable energy can show what is possible, at what cost,
and with what trade-offs (IEA, 2009). Studies have shown that cross-city learning
n that
is very important for spreading knowledge about developing cleaner energy
systems (Campbell, 2009). Thus the systematic accumulation and generation of
(Campbell, the systematic
transferable knowledge from successful experiments can be extremely effective
in moving toward a sustainable energy economy (Bai et al., 2010).
(Bai .,
,
TRANSFORMING THE ENERGY SYSTEM
The relationship between technology and society, referred to as a sociotech -
nical system (Emery and Trist, 1965), has significant implications for increasing
the presence of renewable energy technologies. Although substantial progress has
been made in renewable-energy-related technologies, studies show that changes
in the energy system as a whole are a “slow, painful and highly uncertain pro -
cess” (Jacobsson and Johnson, 2000). Meaningful transformation will only be
made when technologies that change current practices are actually adopted and
accepted by society.
The high cost of renewables (e.g., capital requirements for generation tech-
nology, the need for new transmission lines, or the price per kWh) is often cited
as an impediment to their growth and is often compared to the cost of coal-fired
baseload generation. For both China and the United States, hydropower, and more
recently, wind power and geothermal, are the most economic renewable power
sources. In China, biopower is 20 percent more expensive than coal, and solar
power can be up as much as 10 times as expensive. In this section we look into
the interrelated roles of governments, public and private research, and society in
transforming energy systems in the United States and China.
Shaping a Clean Energy Market
Market mechanisms alone cannot transform the existing energy system, and
technological solutions are insufficient unless they are accepted or incorporated into
society. Arguably, a fundamental challenge for both the United States and China is
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58 ThE POWER OF RENEWAbLES
that, because of past subsidies and abundant domestic reserves of fossil fuels, the
public continues to expect “cheap” energy, which puts almost every less-established
technology at a disadvantage (IEA, 2010c; Weiss and Bonvillian, 2009). Chapter
5 described one approach to addressing this, by mandating a specific amount of
renewables be included in the generation portfolio. The following section details
some other, economy-wide reforms that would impact renewables.
Interening in Energy Pricing
The rationale for government intervention in energy prices is that businesses
make decisions based on the market price of energy, which may not include the
costs associated with environmental damage, climate change, energy security,
and other externalities (NRC, 2010a). As a result, most businesses opt not to
implement technologies that are socially efficient because, they argue, the pri -
vate return is too low. The primary mechanisms to adjust for this, or “to level
the playing field” for clean energy options (including energy efficiency), are
direct energy taxes, cap-and-trade or cap-and-dividend programs, and targeted
subsidies (or reductions in subsidies for less desirable forms of energy). All of
these mechanisms affect the proliferation of renewables in the marketplace, but
to varying degrees.
Carbon Taxes. Taxes involve setting a price signal and letting industry choose
the means of reducing energy consumption. A carbon tax affects the use of
equipment and systems already in place and provides incentives for the adoption
of new technology and operational efficiencies. Taxes send a clear, transparent,
policy message that the purpose of the additional costs is to accomplish societal
goals. The response to such a tax, however, is uncertain, and empirical estimates
of elasticities (the ratio of change in price to change in demand) are not precise
enough to predict the resultant energy savings.
A carbon tax may not provide sufficient incentives for technology develop -
ment, particularly given the political difficulties associated with implementing a
high enough tax to provide a significant incentive. In addition, although a carbon
tax may lead to immediate savings if owners of existing plants and equipment
reduce their energy consumption, it will nonetheless impose costs that were not
anticipated when the investments in technology and vehicles were put in place,
raising issues of equity. These issues could be addressed by phasing in the tax on
a preannounced schedule.
Cap-and-Trade Systems. As of July 2010, Congress is considering enacting
a “cap-and-trade” system to cap GHG emissions1 at a predetermined level and
1 HR 2454 was passed by the House of Representatives on June 26, 2009. The bill sets a cap on
carbon dioxide emissions that covers about 85 percent of total U.S. emissions, including emissions
from domestic oil refineries.
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TRANSITIONING TO A SUSTAINAbLE ENERGy ECONOMy
issue a number of permits equal to that cap. Controlled entities, such as electric
utilities and oil refineries, would have to surrender a permit for each ton of CO 2
emitted. Because the permits could be traded, an entity could choose to reduce its
own emissions or buy permits from a permit holder willing to sell, depending on
the average total cost. The market price of permits will be reflected in the cost of
production and ultimately passed on to the consumer. In some sectors, the permit
price would have the same effect as an energy tax.
Targeted Subsidies. Both China and the United States have a precedent—sul-
fur dioxide (SO2) pollution—for correcting market failures in the energy sector
(NAE/NRC/CAE/CAS, 2007). The United States used targeted technological
solutions (mostly SO2 scrubbers and fuel switching) to force dramatic reductions
in emissions, a pattern China is now following.
Subsidies, either in the form of direct price supports for renewable energy,
or indirect supports through reductions in subsidies for other forms of electrical
generation, are another pricing tool. The U.S. federal government already uses
subsidies to affect prices. Over the course of seven years, 2002 to 2009, there
were $72 billion in subsidies for fossil fuels and $29 billion for renewables (ELI,
2009). The difference in magnitude is important, but as was pointed out in Chapter
5, another crucial aspect of subsidies is their consistency over the long term. In
this case, that consistency, or lack of it, deepens the divide between the subsidies.
Many of the largest subsidies for fossil fuels were written into the U.S. tax code,
while subsidies for renewables were passed as temporary initiatives2 (Bezdek and
Wendling, 2006, 2007). It is also significant that about half of the subsidies for
the renewable sector were for corn-based ethanol.
China has a similar history of subsidies for coal, electricity, and petroleum.
The central government regulates all energy prices, and these subsidies have
been upheld as indirect support for energy-intensive heavy industries in China as
well as a way to moderate consumer inflation. In 2008, some price controls were
relaxed, these subsidies continue to be a subject of debate and, to the extent that
they keep fossil fuel-derived power prices artificially low, they will continue to
put new renewable power generation at a disadvantage.
Bringing Clean Energy into the Mainstream
There are several contemporary examples of renewable energy technologies
that struggle in the marketplace for non-technical reasons. For example, wind
farm developments have been delayed because of aesthetic concerns, and waste-
to-energy facilities have been opposed on the basis of environmental injustice.
2 For example, federal tax subsidies for intangible drilling expenses for oil and natural gas have
been a permanent fixture of the U.S. tax code for more than 60 years. Subsidies for renewables, such
as the production and investment tax credits (see also Chapter 5 discussion) have lapsed and been
reinstated several times in the past decade.
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60 ThE POWER OF RENEWAbLES
Historically, the siting and construction of transmission projects have aroused a
great deal of public and political opposition, and the debate has been reopened in
the context of new transmission primarily for renewable power projects.
For renewables to achieve a substantial share of overall electricity genera-
tion, the industry will have to penetrate the mainstream energy markets in both
the United States and China. However, until very recently, renewable power was
typically referred to as a niche industry. Renewables might achieve mainstream
status by steadily increasing market share. In the meantime, advocacy groups,
professional societies, and industry associations in the United States and China
are working to accelerate this trend by convening groups, disseminating informa -
tion, lobbying policy makers, and sometimes conducting R&D (e.g., the Electric
Power Research Institute [EPRI] in the United States).
In the United States, every major source of renewable power has a trade
organization with tens of thousands of members. In China, the two largest industry
associations are the Chinese Wind Energy Association and its parent organization,
the Chinese Renewable Energy Society. The American Council on Renewable
Energy (ACORE), established in 2001, now has almost 1 million paying members
and recently created a U.S.-Chinese program as its flagship international effort
to promote direct links between industry leaders in both countries. The impact of
these organizations is difficult to quantify, but their rapid growth is an indicator
of the increasingly prominent role that renewable energy is playing in matters of
economic development and energy policy.
Strengthening Innovation
United States
Innovation in renewable energy has generally been linked to energy prices
(Weiss and Bonvillian, 2009). In the United States, energy R&D in general has
been greatly influenced by the prevailing price of oil (and thus the perceived need
for innovation in energy efficiency and alternative sources). The decline in U.S.
federal spending on energy R&D has been well documented (e.g., Dooley, 2008;
Kammen and Nemet, 2005; Margolis and Kammen, 1999). Dooley (2008) notes
that since the mid-1990s, energy R&D has accounted for only 1 percent of federal
R&D expenditures. Margolis and Kammen (1999) suggested that cutbacks, which
began around 1980 following the energy crisis in the late 1970s, would undermine
innovation capacity in the energy sector.
Various reviews of federal investments in clean energy R&D have advocated
dramatic increases, on the order of $15 to $30 billion per year (Duderstadt et al.,
2009; Kammen and Nemet, 2005; Nemet and Kammen, 2007). As a reference
point, in 2009, even with the one-time infusion of funding from the American
Recovery and Reinvestment Act, the Department of Energy’s R&D budget totaled
about $9.5 billion. Moreover, this budget is split among defense (~37 percent),
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TRANSITIONING TO A SUSTAINAbLE ENERGy ECONOMy
basic science (~42 percent), and energy (~21 percent), with applied energy R&D
totaling $2.27 billion for the fiscal year 2010 (AAAS, 2010). Overall, investment
in renewable energy research has not been sufficient to support massive deploy-
ment at sufficiently low-cost (NRC, 2000; NSB, 2009). In some industries, such
as chemicals and electronics, private companies fund most R&D—in the United
States, federal R&D funding in these sectors represents ~1 percent and ~0.5 per-
cent, respectively (NSB, 2010). Private companies in these and other industries
have typically exhibited higher R&D spending/sales ratios (~8-10 percent) than
energy utilities (~0.5 percent). Direct government funding cannot make up for
this shortfall, but governments can provide leverage directly (through additional
investment in pre-commercial R&D) and indirectly (e.g., tax credits for private
R&D spending).
Public and private R&D has tended to emphasize incremental improvements
in commercialized or ready-to-be-commercialized renewable energy technolo -
gies. Government support has also tended to be technology-specific, focusing on
advancing wind turbines, for example, along a cost/watt curve. Because of the
abundance of solar energy, it has typically been considered the most promising
renewable resource for new disruptive technologies (Lewis and Nocera, 2006).
However, for every technology commercially available and ready for acceler-
ated deployment, several others on the drawing board could potentially be “game
changers” in the sense that they could point the way down a dramatically different
path to cost-effective clean energy. Although existing technologies are expected
to continue to improve and governments and private industry will continue to
invest in applied research in support of this, it is also critical that R&D be oriented
toward long-term goals for sustainable energy (NSB, 2009).
Innovation in the United States is increasingly being influenced by university-
industry partnerships, which, in turn, tend to emerge from and be influenced by
government actions (Feller, 2009). The rationale for public-private partnerships in
R&D is to address the funding gap for entrepreneurs attempting to commercialize
scientific inventions; the rationale for government support for this sort of R&D is
that the social rate of return (the benefits to society) are greater than private rates
of return (material benefits to a particular firm) (Shipp and Stanley, 2009). These
have been the underlying principles of U.S. government investments in renewable
energy technologies since the 1970s.
Government investments continue to be directed toward public-private part-
nerships in an effort to leverage additional resources (financial, intellectual, and
in-kind) and accelerate innovation. In 2009, DOE provided support for 46 Energy
Frontier Research Centers, disbursing $100 million (augmented by $277 million
in stimulus funds) for collaborative research in basic energy sciences. DOE also
administers a Technology Commercialization Fund, which supports collaborations
by several national laboratories and private industry to advance prototypes. For these
“post-research, pre-venture capital” projects, the national labs make matching funds
available to any private-sector partner willing to support deployment.
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64 ThE POWER OF RENEWAbLES
private-sector investment in R&D, ranging from preferential taxes (e.g., increas -
ing the deduction for R&D expenses) to protections of intellectual property rights
(IPRs); the latter adopts a holistic approach that includes a legal system respecting
IPR, the development of technology standards, and active participation in setting
international standards.
Finally, in late 2007 MOST and National Development and Reform Com-
mission (NDRC) jointly established the International Science and Technology
Cooperation Program on New and Renewable Energy, a program that identifies
priorities for international cooperation on solar power integration, biofuels, bio -
power, and wind power generation. The approach is in line with recommendations
by the U.S. National Science Board to the National Science Foundation to promote
collaboration with developing countries to encourage the adoption of sustainable
energy technologies (NSB, 2009). As a next logical step, the United States and
China have agreed to establish the U.S.-China Clean Energy Research Center,
which is expected to become operational in 2010 and will provide funding of up
to $150 million from both countries over a period of five years for joint R&D on
clean coal, building efficiency, and clean vehicles.
FUTURE SCENARIOS
Forecasts of the energy futures of the United States and China are necessarily
filled with uncertainty. Both countries use energy-economic models to analyze
different scenarios—government forecasts are provided by the DOE Energy
Information Administration (EIA) in the United States and by the NDRC Energy
Research Institute (ERI) in China. Although these scenarios are not prognostica -
tions of the future, they can be useful for exploring possible effects of different
policy options as both countries develop energy R&D portfolios and as indus -
tries plan investments (Holmes et al., 2009; NRC, 2009a). The following section
focuses on economy-wide reference cases provided by EIA (to 2035) and, where
available, by ERI (to 2050). In this section we also consider some ambitious
technology-specific forecasts. These forecasts may not offer a clear path forward,
but taken together they measure the distance to be traveled.
Government Forecasts
The latest forecasts by EIA (Figures 6-1 and 6-2) predict that the share of
renewable energy in the U.S. energy supply will double in the next two decades,
reaching nearly 14 percent by 2030 (EIA, 2009a). EIA forecasts that biofuels will
show the greatest absolute growth through 2030 and that solar/PV energy will grow
the fastest. China’s official forecasts (often interpreted as goals, but not mandates)
are even more ambitious. China predicts renewables will be able to fulfill more than
30 percent of energy demand by 2050 and that hydro and other renewables together
should meet 10 percent of China’s energy demand for 2010, increasing to 15 to
20 percent by 2020; as non-hydro renewables become dominant, they are projected
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65
TRANSITIONING TO A SUSTAINAbLE ENERGy ECONOMy
60 0
Geothermal
Solar Thermal
Wind
Biomass
MSW
40 0
TWh
20 0
0
20 08 2020 2030 2035
FIGURE 6-1 U.S. non-hydroelectric renewable electricity generation by energy source,
2008–2035 (billion kWh). Source: EIA,6-1.eps
2010a.
Renewable Sources
Nuclear Power
6,000
Natural Gas
Petroleum
5,00 0
Coal
4,000
TWh
3,000
2,000
1,000
0
20 08 Low Economic Reference High Economic
Grow th Grow th
FIGURE 6-2 U.S. electricity generation forecasts for 2035, by fuel, in three cases.
6-2.eps
Source: EIA, 2010a.
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66 ThE POWER OF RENEWAbLES
to provide 26 to 43 percent by 2050 (NDRC, ERI 2009). EIA projections extend
to 2035 but not beyond, at least not officially. However, the current administration
has a stated goal of reducing GHG emissions by 83 percent by 2050.
Recent EIA analyses present an interesting perspective on U.S. electricity
sources over the past 40 years and projected through 2030 (Table 6-1):
• Coal remains the dominant fuel for U.S. electricity generation. In terms
of kW, coal-fueled electricity production is projected to increase more
than three-fold from 1970 to 2030, from 704 billion kW to 2.3 trillion
kW. However, its share of electricity generation is forecast to be nearly
the same in 2030 as it was in 1970—slightly less than 46 percent.
• The share of petroleum will decrease the most, from 12 percent of total
electricity generation in 1970 to about 1 percent in 2030.
• Nuclear power will increase the most, from a little more than 1 percent in
1970 to slightly less than 18 percent in 2030.
• Natural gas will drop from 24 percent in 1970 to 19 percent in 2030.
• Renewables will contribute the same percentage—slightly more than
16 percent—in 1970 and 2030. However, the distribution among types
of renewables will change significantly. In 1970, virtually all renewable
energy was from conventional (large) hydroelectric facilities, whereas
in 2030 these facilities will contribute only about one-third of the
renewables total.
ERI scenarios for China, which are based on goals set by the government,
are slightly different. Because China has a central-planning approach, ERI sce -
TABLE 6-1 Total U.S. Electrical Production by Major Energy
Source: History and Forecast
Million Kilowatts 1970 1990 2007 2020 2030
Coal 704.4 1,594.0 2,020.6 2,197.6 2,310.8
Petroleum 184.2 126.6 65.7 49.0 50.2
Natural gas 372.9 372.8 893.2 714.3 976.4
Nuclear electric power 21.8 576.9 806.5 876.3 890.1
Conventional hydroelectric power 251.0 292.9 248.3 298.7 299.9
Other (including other renewable) 0.9 78.4 132.2 437.2 527.1
TOTAL 1,535.2 3,041.6 4,166.5 4,573.1 5,054.5
Share of Total Percent Share
Coal 45.9 52.4 48.5 48.1 45.7
Petroleum 12.0 4.2 1.6 1.1 1.0
Natural gas 24.3 12.3 21.4 15.6 19.3
Nuclear electric power 1.4 19.0 19.4 19.2 17.6
Conventional hydroelectric power 16.3 9.6 6.0 6.5 5.9
Other (including other renewable) 0.1 2.6 3.2 9.6 10.4
Source: EIA, 2007a, 2009a.
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67
TRANSITIONING TO A SUSTAINAbLE ENERGy ECONOMy
TABLE 6-2 Summary of China’s Renewable Energy Resource Potential for
Power Production in 2050
Theoretical Potential Technically Available Energy Production
Type (100 GW) Potential (100GW) (100 Mtce/a)
Wind 43 7~12 5~8
4.5*107
Solar energy 22 11~14
Biomass — — 9.8
Hydro 6 5 8.6
Geothermal 462.6 Btce 0.2 0.5
Ocean 142 14.4 5.5
TOTAL — 55.7 40–46
Source: CREDSRG, 2008.
narios also function as road maps, or at least guideposts, for the development
of specific renewable energy industries. By contrast, EIA provides independent,
impartial analyses based on energy information and statistics. DOE and its affili -
ate laboratories conduct separate analyses, including aggressive scenarios for
specific technologies (e.g., DOE, 2008a). NREL also facilitates renewable power
technology roadmaps for industry, which identify targets for costs, timeframes for
commercialization, and policy needs to achieve these goals. But the United States
does not currently have official roadmaps, which would authorize the requisite
funding and policies to help realize specific goals. The Solar Technology Road -
map Act of 2009 was pending approval by Congress as of June 2010.
ERI scenarios focus on the near term (by 2010), medium term (by 2020), long
term (by 2030), and a “future perspective” (to 2050—see Table 6-2). Figure 6-3
illustrates the goals for renewables to 2050. Figures 6-4 and 6-5 show technology
road maps for wind and solar PV, complete with interim goals and targets. The
Chinese Academy of Sciences (CAS) produced a report in 2007 assessing how
the country could transition from its dependence on fossil-fuel, energy-intensive
infrastructure to a cleaner, more sustainable energy system. This report posited
that, even if nuclear, conventional hydro, and renewables development were accel-
erated, coal would still provide about 42 percent of the country’s primary energy
supply in 2050. However, the market could be shaped so that low-emissions and
domestically produced energy would be favored (CAS, 2007). Under this sce -
nario, with enough investments to bring down the costs of solar energy conversion,
cellulose conversion for bio-derived fuels, and energy storage, renewables could
meet approximately 25 percent of primary energy demand.
Industry Assessments
Some assessments attempt to forecast the size of all or parts of the renewable
energy industry. Studies of this kind have been conducted for the United States
(e.g., ASES, 2009; NCI, 2010; Pew Charitable Trusts, 2010), but the committee
is not aware of any comprehensive forecasts for the renewable energy industry
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68 ThE POWER OF RENEWAbLES
1,80 0 Mtce Total 1,70 6.7
1,60 0
436.8
1,40 0
Total 1,027.1
1, 20 0
1,00 0
800 460.8
Total
617.4
1269.9
600
Total 187.5
355.7
40 0 158.5
566.3
20 0
261.7
29.0
.
0
20 06 2020 2030 2050
hydro
Non-hydro
FIGURE 6-3 Renewable energy targets for China, in tons of coal equivalent. Source:
6-3.eps
CREDSRG, 2008.
30% Mix of wind capacity
25.3%
25% Mix of wind electricity
20%
Development
Industry established Wind power a major resource
scales up
15% 11.7%
10% 12.9%
6.8%
5% 0.3% 1.4% 5.7%
0.1% 0.6% 3.2%
0%
2005 2010 2015 2020 2025 2030 2035 2040 2045 2050
Medium term
Near term Long term
Wind market becomes mature
Make efforts to establish a Wind industry
sound industry matures and
costs come
down
FIGURE 6-4 Wind technology roadmap 4.eps Source: CREDSRG, 2008.
6- for China.
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TRANSITIONING TO A SUSTAINAbLE ENERGy ECONOMy
(GW) 900
RMB/kW h
price of grid connected PV electricity RMB/kW h
5 800
800
4.8
700
Cumulative capacity (GW)
4 600
500
2.8
3
400
300
2 1.5 100 200
0.6 100
5
1 0.08 1.8
0
0.7
0 -100
2006 2010 2020 2030 2050
Near term Medium term Long term
Crystalline Si-PV Crystalline Si-PV and thin film Important energy
mainstream; thin film PV PV are main products; mature resource
R&D; developing PV PV industry
industry
FIGURE 6-5 Solar PV technology roadmap for China. Source: CREDSRG, 2008.
6-5.eps
in China. There are, however, recent analyses of some parts of China’s energy
market (e.g., Crachilov et al., 2009; McKinsey & Company, 2009).
Table 6-3 summarizes some of the results for the ASES (2009) scenario
forecasts for 2030. The size of the industry in 2030 in the “Advanced Scenario” is
nearly six times as large as in the “Base Case.” More important, in the “Advanced
Scenario,” some renewable energy sectors grow much more than others: wind is 16
times larger; geothermal is 14 times larger; fuel cells is 9 times larger; biodiesel
is 6 times larger; biomass power is 5 times larger; and PV and ethanol are more
than 3 times larger.
Table 6-4 shows wide variations in jobs creation between the “Base Case”
and “Advanced Scenario.” The biggest differences in numbers are in the ethanol,
biomass power, and wind sectors. The biggest differences in percentage increases
are in the solar thermal, geothermal, and wind sectors.
The High Costs of Delay
In the aggressive scenario developed for the ASES (2009) report, the 2008
predictions for renewable energy/electrical energy industry in 2030 are signifi -
cantly lower than the 2007 predictions:3
3 The 2008 renewable energy and electrical energy forecast can be found in Management Informa -
tion Services Inc., Renewable Energy and Energy Efficiency: Economic Driers for the st Century,
a report prepared for the American Solar Energy Association, November 2007; ASES (2009). The
2007 forecast can be found in Management Information Services Inc., Green Collar Jobs in the U.S.
and Colorado: Economic Driers for the st Century, American Solar Energy Society, Boulder,
Colorado, January 2009 is from ASES (2007).
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70 ThE POWER OF RENEWAbLES
TABLE 6-3 The U.S. Renewable Energy Industry in 2030 (billions of 2007
dollars)
Moderate Advanced
Industry Segment Base Case Scenario Scenario
Wind $5.6 $22 $89
Photovoltaics 13.5 27 45
Solar thermal 0.2 0.9 29
Hydroelectric power 4.8 5.1 6.8
Geothermal 2.9 8.2 40
Biomass
Ethanol 22.6 45 82
Biodiesel 1.3 2.7 7.6
Biomass power 32.3 68 160
Fuel cells 5.2 14.1 45
Hydrogen 4.1 12.2 36
Total, Private Industry 92.4 205.2 540.4
Federal government 0.8 1 2.8
DOE laboratories 2.3 2.6 7.8
State and local government 1.5 2.2 5.7
Total Government 4.6 5.8 16.3
Trade & professional associations & 0.8 1.5 3.6
nongovernmental ogranizations
TOTAL, ALL SECTORS $97.8 $212.5 $560.3
Source: ASES, 2009.
• Projected real renewable energy revenues in 2030 are about 10 percent
($55 billion) smaller.
• The total number of jobs projected for the renewable energy industry in
2030 is about 8 percent (591,000 jobs) lower.
• Real electric energy revenues in 2030 are about 8 percent ($317
billion) lower.
• The total number of jobs generated by renewable energy in 2030 is about
7 percent (2.3 million jobs) lower.
All renewable energy/electrical energy initiatives take years to be imple -
mented and then ramped up. Thus the largest gains in deployment are made in
the years immediately preceding the target year, 2030. Therefore, a delay of just
one year in the early years translates into a substantial loss in future deployment.
The aggressive 2007 scenario was based on the assumption that the extremely
ambitious, large-scale federal, state, and local government incentives, policies,
and mandates would be implemented beginning in 2008. This did not occur,
however, so the 2008 forecast moved the implementation date up to 2009. This
one-year delay explains the significant differences between the 2007 and 2008
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TRANSITIONING TO A SUSTAINAbLE ENERGy ECONOMy
TABLE 6-4 U.S. Jobs Created by Renewable Energy in 2030
Moderate Advanced
Industry Segment Base Case Scenario Scenario
Wind 66,200 257,000 1,040,000
Photovoltaics 206,000 415,000 700,000
Solar thermal 3,800 17,000 540,000
Hydroelectric power 22,400 24,200 32,300
Geothermal 29,000 85,000 415,000
Biomass
Ethanol 530,000 1,050,000 2,000,000
Biodiesel 25,100 56,900 160,000
Biomass power 282,000 603,000 1,420,000
Fuel cells 68,600 158,000 505,000
Hydrogen 47,200 143,000 420,000
Total, Private Industry 1,280,300 2,809,000 7,232,300
Federal government 3,000 3,100 8,550
DOE laboratories 11,000 12,300 36,100
State and local government 7,000 11,800 29,400
Total Government 21,000 27,200 74,050
Trade & professional associations & 4,700 9,400 21,300
nongovernmental ogranizations
TOTAL, ALL SECTORS 1,305,400 2,845,700 7,327,650
Source: ASES, 2009.
scenarios. The lesson here is that the longer the United States (or China or
any other nation) delays in implementing ambitious renewable programs and
incentives, the more difficult it will be to achieve the goals for 2030—or any
other target year.
The same is true for the ERI road maps, which are based on considerable
acceleration from 2030 to 2050. These projections will have to be scaled back if
early targets for 2020 and 2030 are not met. Every year of delay at the front end
(e.g., 2009, 2010) has a highly disproportionate negative impact on the achieve -
ment of long-term goals. Thus, time is of the essence, and time lost in the next
several years will be very difficult to make up.
FINDINGS
The scale and diversity of the energy system in terms of existing infrastructure
and economic importance, in the United States and China, should not be under-
estimated. Transforming the existing model of fossil-fuel combustion into a low-
carbon energy infrastructure will require the active involvement of a wide range
of actors beyond the energy and technology sector. No single factor is motivating
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7 ThE POWER OF RENEWAbLES
either country to push toward a more sustainable energy economy, and no single
technology, renewable or otherwise, will wholly meet demand.
Meeting electricity demand sustainably is an important driver for the devel -
opment of renewable power, but it is not the only one. The complex, systems
challenge ahead will involve trade-offs and some missteps. Manufacturing,
deploying, and operating renewable power generators represent a potential
new pillar of economic growth. So far, China has embraced this opportunity
more rapidly than the United States.
As both countries move forward to integrate renewable energy technologies,
there will be many opportunities for U.S.-Chinese cooperation in areas with
medium- to long-term impacts. Collaboration may not focus directly on renew-
able power generation technologies but may instead focus on key “enablers”
of a sustainable energy economy. Successful projects might be considered
experiments, and the United States and China could document and analyze them
and then support similar projects in other cities. Assessments of local costs,
benefits, and the impacts of energy use would also be valuable to local decision
makers, as would an understanding of the main leverage points in implementing
sustainable energy strategies.
China may have the benefit of hindsight, learning from earlier efforts in the
United States and elsewhere, but its timetable continues to be compressed at
the same time that international scrutiny is increasing. China is pursuing nearly
10 percent annual economic growth while rapidly reducing its GHG emissions
profile. In any circumstances, progress on laying the groundwork for a future,
sustainable energy economy will benefit both the United States and China over the
longer term and could show other countries how to stimulate the development of
their own sustainable energy infrastructure. For both countries, delaying deploy-
ment will push back of some of the clean energy and emissions-reduction
targets for 2030 and beyond.
In the United States, research on clean energy is conducted at a variety of
government and academic institutions, but NREL integrates these efforts into
a coherent national overview. In China, the Energy Bureau has established a
number of renewable energy research and development centers. Although both
the United States and China have recently increased investments in energy R&D,
both are still severely underinvesting, which will make it difficult to achieve goals
for 2050 and beyond. Consistent, long-term public investments in clean energy
RD&D would send private industry a clear signal of a commitment to change,
which should leverage more industry investment in both applied research and
commercialization.
RECOMMENDATIONS
• China should conduct a nationwide inventory of research centers and their
capabilities in various aspects of renewable energy and related fields. Based on
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TRANSITIONING TO A SUSTAINAbLE ENERGy ECONOMy
assessed capabilities, some facilities could be designated as technical centers of
excellence in their major competencies. One option is to integrate some of the
existing entities and to establish a research institute, under the National Energy
Administration, that is responsible for the renewable energy sector. A new insti-
insti-
tution would not need to be the center of excellence for all technologies, but
for the integration of technologies and understanding of the RD&D pipeline
from resource base through to commercialization. It should also be a facility for
investing in capital equipment that is otherwise too costly for individual research
centers.
• China and the United States should cooperate on developing the standards
and infrastructure for systems that optimize vehicle charging behavior, renewable
power generation, and reduced emissions from the transportation sector. Devel -
oping and implementing these complex systems at scale will require substantial
investments, and so joint pilot projects and demonstrations could be more effi -
cient, in terms of expenditures and diffusion of technological learning.
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