2012 stip internship report shan z
TRANSCRIPT
2012 STIP Internship Report Shan Zhou
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Smart Grid Deployment and its Economic Impacts on Georgia
Shan Zhou1
Georgia Institute of Technology
Acknowledgments
The author would like to thank the management team of the Enterprise Innovation Institute at Georgia
Institute of Technology for their support, especially Jan Youtie, for her valuable feedback and suggestions;
Alfie Meek, Robert Lann and Candice McKie for their generous help on IMPLAN modeling and advices
on the project; Ben Hill for his time, comments and up-to-date information he provided to me; Ann
O’Neill for her help and guidance on data collection; Lynn Willingham for support; Alison Pienta, Dan
Cotter, Lyndsey Nott for both friendship and help; Steven Pigford at Georgia Power for sharing his time
and experiences with me; and Xin Xi and Ethan Xi for their unconditional love. This Project is funded as
part of a summer 2012 STIP internship. All views expressed in this report are solely the author’s and do
not necessarily represent the views of the Enterprise Innovation Institute.
Executive Summary
Smart grid acts on timely information of both the electricity demand and supply sides to improve the
reliability and efficiency of electricity generation, transmission and distribution. It is enabled by applying
two-way communication, computer and information technologies in the electricity networks. As the
traditional electric power infrastructure becomes increasingly vulnerable to power outages and
interruptions, and fails to meet the low-carbon challenge, deployment of smart grid has gained momentum
in the worldwide. On the other hand, roll-out of smart grid technologies is often seen as a growth engine
for local and national economy, which not only drives the development of various industrial sectors, but
also creates employment opportunities in the program implementation, operation and maintenance
processes.
Federal legislation has been enacted to promote smart grid deployment in the U.S., examples of which
include the Energy Independence and Security Act of 2007 and the American Recovery and Reinvestment
Act of 2009. The latter appropriates $3.4 billion for the smart grid investment grant, one of the largest
government investments for smart grid in the world. Meanwhile, state governments are racing against
each other in grid modernization efforts, with the aim to take the lead in smart grid technological and
market innovation. Under this context, this study investigates the status of smart grid industry and
infrastructure development in Georgia, and applies input and output (I/O) analysis to estimate the major
impacts of smart grid activities on the state’s economy. The goal of this study is to understand the
1 Corresponding author: Shan Zhou, PhD student at School of Public Policy, Georgia Institute of Technology. Email:
2012 STIP Internship Report Shan Zhou
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socioeconomic benefits of smart grid deployment, gain insights on Georgia’s competitiveness in
cleantech sectors and hence help Georgia better position itself in the coming era of green economy.
Economic impacts of smart grid deployment mainly derive from two aspects. First of all, it drives the
demand for smart grid products and services. Vendors of the smart grid supply chain, including both start-
ups and traditional firms in information technology, telecommunication, and power sectors, influence
economic development through their manufacturing and service delivery processes. In order to estimate
this impact, this study carries out a basic analysis of the smart grid industry in Georgia. Key vendors in
the U.S. smart grid ecosystem are first identified through reviews of market research reports, and their
local presence in Georgia is determined using multiple business profile databases, including D&B million
dollar database, Reference USA and Hoover Company’s Profile. Business statistics such as employee size,
market segment, lines of businesses, and location are compiled and analyzed. Results show that 128 smart
grid establishments are currently operating in Georgia, with 5,024 people working in smart grid-related
areas. Applying the I/O model and 2010 IMPLAN data for Georgia, this study calculates the indirect and
induced job creation (together referred to “multiplier employment effect”). It concludes that the growth of
smart grid industry in Georgia has generated 14, 461 jobs in total, which has an economic output of $3.4
billion. The employment multiplier is 2.9, meaning that for a job created in the smart grid sector, a total of
2.9 jobs will be created through over the whole economy. A geographical analysis of smart grid jobs in
Georgia indicates that 80% of these jobs are located in the metro Atlanta area. Some of the smart grid
clusters outside the metro Atlanta area include Columbus, Eastanolle, Waynesboro, Rincon, and Athens,
accounting for over 90% of the rest of smart grid jobs. It is also noteworthy that 79 out of the 128 smart
grid establishments in Georgia have fewer than 10 employees, and only 21 firms employ over 50 people.
Smart grid firms in Georgia are classified into four categories based on market segments: the advanced
metering infrastructure, demand/energy management, grid interconnection, and transmission &
distribution management. 2,259 people are working in 54 grid interconnection firms, and 2,316 people
working in 34 transmission & distribution management firms. Demand/energy management and advanced
metering infrastructure have 1,249 and 1,312 employees working in 39 and 18 establishments
respectively.
By organization types, smart grid establishments in Georgia are categorized into four groups:
contract/construction, wholesale, business service and device manufacturing. Over 80% of smart grid jobs
are generated by 45 smart grid device manufacturers. The business service firms which produce high-
value smart grid products and services such as data analysis software and business strategy development
employ around 200 people in Georgia, with 339 and 256 people working in the contracting/construction
and wholesale sectors respectively.
The second part of economic influence of smart grid comes from the construction, operation and
maintenance of smart grid infrastructure. Six smart grid roll-out projects in Georgia are identified, which
are funded by the Recovery Act and the USDA’s rural electric grid modernization initiative. A total of
$98.2 million federal investments are devoted to implementing smart grid technologies. The southern
company is taking the lead in smart grid deployment in Georgia. With matching fund from the Recovery
Act, its investments in smart grid projects exceed $100 million between the year 2009 and 2012. Input
and output analysis concludes 842 jobs are created and $166.8 million economic output is generated as a
result of smart grid investments in Georgia.
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An evaluation of smart grid policies in Georgia highlights potential improvements may be needed in the
policy framework. Georgia has been a pioneer state in the U.S. in terms of dynamic pricing programs.
Leading by Georgia power, the state also has made great efforts in smart meter deployment: 6 million
smart meters for gas, water and electricity have been installed (Georgia Power, 2012). However, Georgia
is obviously lagging behind other states in several smart grid policies, such as the net metering policy,
interconnection standards and rules, and renewable portfolio standards. In order to create the climate for
smart grid and increase the demand for smart grid-related products and services, Georgia should
implement policies that support a low-carbon and modernized electric grid. For instance, Georgia could
increase the distributed generation capacity limit imposed by its net metering policy for both residential
and non-residential sectors to encourage deployment of distributed renewables. Adopting an
interconnection standard that provide official standards and rules to guide the integration of distributed
generation, as well as a renewable portfolio standard that requires a certain percentage of utility’s
electricity produced from renewables would both facilitate the penetration of renewable technologies and
hence increase the diversity of generation technologies in the grid.
The results of this study also indicate that Georgia is now lagging behind in providing smart grid-related
business services. As the development of smart grid infrastructure goes on, a great proportion of the
future smart grid market potential would be in the service sector (Neichin & Cheng, 2010). Government
support and emphasis could be placed on fostering the research and development of high-value added
smart grid services and products. Public and private partnership could also provide a platform to facilitate
the penetration and acceptance of various business innovations. A great example of this is the
collaboration between GE energy and the City of Norcross which provides a smart grid service for
Norcross residents.
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1. Introduction
Designed and built with technologies in the 20th century, traditional power grid often transfers electricity
from large power plants to end users via transmission and distribution lines, where electricity and
information both flow in one direction. It is increasingly difficult for the aging grid to meet challenges
we face today, such as increasing peak demand, climate change and energy security concerns. Vulnerable
and unreliable power supply has also become a constraint for economic development. There is an
increasing awareness of grid modernization, which calls for the integration of telecommunication and
information technologies with the electricity infrastructure, and this creates the idea of smart grid.
A smart grid integrates a diverse set of technologies, ranging from conventional power plants and
distributed renewable resources, to smart meters, smart appliances, energy storage systems, and energy
management systems for homes and businesses (See Figure 1). Controllers at the central and regional
levels receive and deal with information sent out by smart meters and other intelligent devices installed at
transmission and distribution substations. Different end users are connected to the grid with demand
response programs, which reduce information asymmetry, enable informed energy consumption decisions,
help shave peak demand and save money for both utilities and consumers. With a two-way flow of
electricity and information, smart grid can operate at high levels of power quality and system security.
Figure 1 Smart Grid: A Vision for the Future (M. Brown & Zhou, Forthcoming)
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U.S. is one of the leading countries in smart grid deployment. The American Recovery and Reinvestment
Act of 2009 alone allocates $3.4 billion for the smart grid investment grant ("American Recovery and
Reinvestment Act of 2009," 2009). Many other countries are also racing to make the transition to a
digitalized electric grid. For instance, the British utility regulator, Office of the Gas and Electricity
Markets (Ofgem), establishes a £ 500 million Low Carbon Networks (LCN) Fund to improve the
country’s distribution networks to enhance energy security and combat climate change (Office of the Gas
and Electricity Markets, 2012). The Chinese government is planning to invest $45 billion in smart grid
infrastructure between 2011 and 2015(Smart Grid China Summit, 2011). Countries such as Japan and
South Korea have implemented smart grid demonstration projects at different levels to facilitate
penetration of smart grid technologies, and strengthen the competitiveness of domestic industries (M.
Brown & Zhou, 2012).
On the one hand, the enormous government investments in smart grid infrastructure have significantly
driven the development of the smart grid industry. It is estimated that global market value of smart grid
products increased from $26 billion in 2005 to $69 billion in 2009, and will reach $186 billion in 2015
(SBI Energy, 2010).The smart grid industry is also one of the busiest sector for cleantech venture capital,
attracting $1.3 billion investment between 2005 and 2009 (Leeds, 2009). On the other hand, smart grid
serves as a growth engine for green jobs and green economy. As a result of smart grid projects, around
278,600 smart grid jobs will be created between 2009 and 2012 in the U.S.(KEMA, 2008). The
development of smart grid supply chain has particularly attracted investments and expertise from
traditional information technology, telecommunication and energy industries, allowing more
technological innovation and market exploration that enable business growth and economic development.
Smart grid infrastructure and industry has just emerged in Georgia. As this process continues, it is critical
for Georgia policy makers to understand the economic opportunity that smart grid presents. The goal of
this study is to evaluate the economic impacts of smart grid deployment in Georgia through investigating
the regulatory, infrastructural, and industrial developments related to smart grid. Policy recommendations
are also provided to help Georgia capture the economic and employment benefits associated with smart
grid deployment.
2. Literature Review
Smart grid can influence the economic development through the growth of the supply chain system.
Henton et al. (2011) estimated the impact of smart-grid on Silicon Valley by disaggregating the industry
into four product sectors and assess the employee size in those sectors, including power management &
energy efficiency products, energy storage, distributed energy generation, and electricity transmission &
distribution (Henton, Grose, Kishimura, & Harutyunyan, 2011). In total, the smart grid industry
accounted for 12,560 jobs in the Bay Area in 2009, with distributed generation representing 59% of the
total employment. Along the smart grid value chain, manufacturing represents the largest percentage of
employment, followed by smart-grid services, installation, supplier, research & development and other.
The report concluded that the Silicon Valley will benefit from the deployment of smart-grid in terms of
not only its improved energy system, but also the innovation processes of the high-tech companies that
provide smart-grid related devices and services.
A large number of jobs are also created in the implementation process of smart grid projects. KEMA
(2008) forecasted that 280,000 new jobs would be created directly as a result of smart grid projects in the
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U.S. between 2009 and 2012, and 140,000 permanent, on-going high value jobs would persist after the
completion of these projects (KEMA, 2008) . These jobs are generated in various sectors, including
utilities, contractors, smart grid product suppliers, and energy service companies.
Input and output (I/O) analysis and its job multipliers are one of the most widely applied tools to examine
the economic impacts of green investments. O’Sullivan et al. (2009) used input and output analysis to
calculate the employment effect of renewable energy in Germany (O'Sullivan, Edler, Ottmuller, & Lehr,
2009). Their results showed that a total of 273,700 green jobs were created in the renewable energy sector
in 2008, an 11.7% increase compared to 2007. Wind and photovoltaics were the two largest sources for
job creation, adding 85,100 and 57,000 jobs respectively to the German labor market in 2008.
Lehr et al. (2012) used an economy-energy-environment model and input-output tables to estimate the
implications of large investment in renewable energy sector in Germany (Lehr & Lutz, 2011). Almost all
scenarios exhibit positive net employment effects, except the one that assume German renewable exports
below today’s level. They argued that the employment effects of renewable energy development have
three components: positive gross employment from the production, installation, operation and
maintenance of renewable devices, negative substitution effect due to crowd-out investment in
conventional energy sectors and negative budget effect due to additional costs of electricity generation
from renewable.
Torgerson et al. (2006) evaluated the economic impacts of wind energy projects in Umatilla County,
Oregon, using the Jobs and Economic Development Impact (JEDI) model and two IMPLAN models
edited by the authors (Torgerson, Sorte, & Nam, 2006). Their analysis included direct, indirect and induce
impacts of wind projects. The JEDI model using statewide multipliers and a 100% default local
purchasing value produced the largest job impact from the construction and operation phases of a 50MW
wind project: a total of 120 and 21 jobs were created respectively, compared with 77 and 17 when using
the JEDI model with Umatilla County Multipliers. The discrepancy among results from the three models
is mainly due to the different assumptions of the earnings-to-output ratio and the percentage for local
purchasing.
However, smart grid is not a traditionally defined industry, which does not have a NAICS code or an
IMPLAN sector assigned. Using I/O analysis to evaluate the economic impacts of smart grid investment
hence requires special treatment of the spending sectors. Pollin and Garrett-Peltier (2009) constructed a
synthetic sector for smart grid by identifying major activities for smart grid deployment, including
construction, machinery manufacturing, electronics manufacturing, electrical equipment and component
production; and each accounts for 25% of the total smart grid activity. Inputs for the four activities were
put in the I/O model and they found that an annual investment of 500 million in smart grid would
generate 3490 direct jobs and 3560 indirect jobs in Ontario (Pollin & Garrett-Peltier, 2009). For each
million investment in smart grid, 14 direct and indirect jobs will be created (Pollin & Garrett-Peltier,
2009).
The study done by Atkinson et al. (2009) considers four types of employment effects by smart grid
investments. They first estimated the expected increase in spending in four general industries due to
government investments in smart grid projects, including construction, hardware, software and services
(Atkinson, Castro, & Ezell, 2009). They then calculated the increases in producer values in the four
sectors, which were used to estimate the total increase in employment by applying a final-demand
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employment multiplier for each industry. Their results indicated that a $50 billion investment over 5 years
in smart grid in the U.S. would generate 239,745 new jobs, 140,475 of which are small business jobs;
while a double in the investment would create 477,490 jobs. A federal mandate on smart-grid which
requires smart meter deployment and smart-grid construction, and also allows cost recovery for utilities’
smart-grid investment would create 91,140 jobs.
Investment in smart-grid will not only generate jobs through the direct, indirect and induced employment
effects, but also will stimulate employment in other closely-related sectors which benefit from high-
quality and low-cost power provided by smart-grid (Atkinson et al., 2009; KEMA, 2008; Mazza, 2007).
Hybrid electric vehicles and distributed renewable generation are two examples of technologies that are
depend on smart-grid. This phenomenon is also called the “network effect” or “network externality”.
Currently, there is no well-established approach to estimate the network effect.
3. Methodology and Data Collection
Literature indicates that smart grid can influence the economy through the development of new markets
and the process of infrastructure construction. To understand the current status of the smart grid industry
in Georgia, this study first identifies major smart grid vendors in the U.S. by reviewing market research
reports. It then breaks down the smart grid industry into four market segments and identifies
corresponding smart grid products for each segment. A portfolio of smart grid vendors with their focused
market segments is developed. Based on this national-level portfolio, Dun & Bradstreet Million Dollar
Database, Hoover’s Company Profiles, and Reference USA are used to look up the presence of smart grid
companies in Georgia. A range of business statistics for each establishment are compiled, including size
of employee, location, NAICS code, lines of business, and product and service description. The market
segment of each smart grid establishment in Georgia is determined based on their products and services,
as well as the profile of its parent company. The number of employees of each establishment is used as
input parameter for the I/O model to estimate the economic impact of the smart grid industry.
This study also consists of an analysis of the ongoing smart grid rollout efforts in Georgia. Major publicly
funded smart grid projects are identified and project information such as budget and smart grid equipment
purchased is collected. NAICS industrial classes that are affected by each project’s spending are
identified and weights are assigned to each class representing the percentage of total project budget spent
in that class. Increased spending in NAICS classes is used as an input parameter for the I/O model to
calculate the economic impacts of smart grid deployment projects.
This study also conducts a state-level analysis of smart grid related policies to illustrate the political
climate for smart grid in Georgia. It weighs the strengths and weaknesses of Georgia’s smart grid policy
framework, and recommendations are provided based on the policy analysis.
4. Economic Impacts of Smart Grid Companies
4.1 Smart Grid Market Segments and Major Vendors in the U.S.
This study breaks down the smart grid industry into the following four market segments. Table 1 presents
a list of smart grid products and services, and key industry players for each market segment.
2012 STIP Internship Report Shan Zhou
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Advanced metering infrastructure (AMI) refers to digital hardware and software that enables interval
data measurement and continuously available remote communication and transmission of such
information to various parties (Electric Power Research Institute, 2007). It is often seen as the foundation
of the smart grid (Leeds, 2009). A large percentage of the current utility smart grid deployment efforts is
focusing on the roll out of smart meters. In the U.S., 23.9% ($818 million) of the $3.4 billion Smart Grid
Investment Grant is allocated for AMI projects (Zpryme, 2010). The market value for AMI in the U.S. is
expected to grow from $2.54 billion in 2010 to $5.82 billion in 2015(Zpryme, 2010). Major products in
this market segment are: smart meter hardware, communication and network infrastructure, and smart
metering data capture and management (Neichin & Cheng, 2010). Key AMI manufacturers in the U.S.
include General Electric, Itron, Landis+Gyr, Elster, Sensus, and Echelon (Leeds, 2009; Neichin & Cheng,
2010).
The demand/energy management market includes demand response and building energy management
system (BEMS) in homes and businesses. Demand response refers to program or service that motivates
“changes in electric usage by end-use customers in response to changes in price of electricity over time,
or to give incentive payments designed to induce lower electricity use at times of high market prices or
when system reliability is jeopardized” (DOE, 2006). The borderline between demand response and
BEMS is often vague, as demand response is considered as a key component for BEMS and most demand
response enabling devices such as smart thermostats and load control products are also widely used in
BEMS (Pike Research, 2012). The BEMS market is often built based on the traditional building
management system market, where dominant market players are Johnson Controls and Honeywell, and
new entrants such as BuildingIQ.
Transmission & distribution management, sometimes called grid optimization, entails intelligent
products that allow utilities and electric network operators to control the grid remotely and digitally.
Many utilities have started large –scale upgrades of the power delivery system by installing sensors,
monitors, and communication infrastructures. Key industry players include ABB, Schneider Electric and
Thomas & Betts.
Grid interconnection consists of a wide variety of technologies that are enabled by smart grid, such as
renewables, energy storage and electrical vehicles. This market segment is growing very quickly and
represents enormous market opportunities in the future; however, its development requires the upgrade of
other parts of the electric system to ensure power stability (Neichin & Cheng, 2010).
Table 1 Smart Grid Market Segments and Key Vendors
Market
Segment
Smart Grid Product and Service Categories Key Vendors
Advanced
Metering
Infrastructure
Smart meters Itron, Landis+Gyr, Sensus, Elster, GE
Communication systems Texas Instruments, Sierra Wireless,
Qualcomm, Motorola, Cisco, Alcatel,
Nokia Siemens, Silver Spring,
Trilliant, Itron, Landis+Gyr, Sensus,
Elster, GE, Aclara, AT&T, Verizon, T-
Mobile, Sprint
Meter data capture & management Oracle, Microsoft, IBM, Itron, Elster,
eMeter, Ecologic Analytics, Aclara,
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Tibco, Accenture, Cap Gemini
Demand/
Energy
Management
Demand
Response
Curtailment service for
commercial and industrial
customers, Curtailment service
for residential customers,
Automated demand response
(ADR), Demand response
management system (DRMS),
Home area network (HAN),
Curtailment enabling devices
Comverge, Honeywell, Johnson
Controls, EnerNOC, Carrier,
EnergyHub, CPower, Cooper Power
Systems, Tendril, Energy Curtailment
Specialists, Siemens, OpenPeak,
Schneider Electric, OPower,
EnergyConnect, General Electric,
eMeter
Home Energy
Management
Physical/web-based customer
engagement platforms, In home
display (IHD), Smart
thermostats, Smart plugs,
Smart appliances
Tendril, Control4, OpenPeak,
Gridpoint, 4Home, Cisco,
EnergyHub, AlertMe, Google,
OPower, EcoFactor, Microsoft,
iControl, Intamac, PeoplePower,
Sequentric
Building
Energy
Management
Building systems, sensors, and
monitoring hardware, Software
for data aggregation and analysis,
System optimization products
Johnson Controls, Hara Software,
Adura Technologies, Honeywell,
ENXSuite, PowerIT Solutions, GE,
SAP, Verdiem, Schneider Electric,
Oracle, Redwood Systems, Siemens,
EnOcean, Agilewaves, IBM,
SynapseSense, BuildingIQ
Transmission
& Distribution
Management
Distribution
Automation
Distribution management system
(DMS), Supervisory control and
data acquisition (SCADA),
Distribution automation
networking equipment, Digital
controllers, Pole top/pad mount
remote terminal unit (RTU),
Reclosers, Sectionalizers,
Capacitor bank, Fault indicators,
Voltage regulators, Line sensors,
Overhead switches
Telvent, Siemens, ABB, Survalent,
OSI, ACS, GE, Trilliant, Landis+Gyr,
Itron, Silver Spring, Sensus, Arcadian
Networks, SEL, Cooper, Schneider
Electric, S&C, Telemetric, NovaTech,
Thomas & Betts, Howard, Vishay,
Beckwith, Qualitrol
Substation
Automation
Routers, RTUs, Gateways,
Hardened computers,
Programmable logic controllers
(PLCs), Multi-function
meters/recorders, Digital fault
recorders,
Sequence of event recorders,
Power quality recorders,
Transformers, Circuit breakers,
Switchgear
RuggedCom, GarrettCom, GE, Cisco,
Telvent, EFACEC/ACS, Siemens,
DAQ, Cooper, Novatech, Subnet
Solutions, SEL, Rockwell, Eaton,
Schneider Electric, ABB, Qualitrol,
Ametek, SATEC, Utility Systems
Inc., Mehta Tech, Survalent,
Garrettcom
Grid
Interconnectio
n
Renewable
Integration
Renewable devices, Inverters,
Transformers, Other power
conditioning equipment,
Installation services
Sun Run, SolarCity, Sungevity,
DirectGrid Technologies, Enphase
Energy, Enecsys, Petra Solar, Solar
Bridge, GE, Mitsubishi, ABB,
xantrex,
Electric
Vehicles
Micro-inverters, Electric vehicle
supply equipment
GridPoint, Coulomb Technologies,
Better place
Energy
Storage
Storage devices, Converters Siemens, ABB, GE, Areva, Panasonic
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Source: (Leeds, 2009; Lowe, Fan, & Gereffi, 2011; Neichin & Cheng, 2010)
4.2 Smart Grid Companies and Establishments in Georgia
In order to estimate the size of the smart grid industry in Georgia, this study looks up local establishments
of these smart grid companies in Georgia using Reference USA, D&B database, and Hoover’s company
profile, based on the list of key smart grid vendors in Table 1.
Appendix A presents the whole list of company profile data, including their NAICS codes, market
segment, total employment, smart grid employment, and location. Market segment of each establishment
is determined based on their parent company characteristics, lines of businesses, and information from
their website. Although many companies are considered as smart grid vendors in the U.S. market, their
local establishments in Georgia may not necessarily operate in the smart grid industry. This also poses
question in estimating smart grid employment information for each firm. For establishments that have
little information concerning their products and services, the percentage of smart grid activities of the
parent company is estimated, which is used to apportion out the smart grid part (see Table 2). Smart grid
employment of a local establishment is calculated by multiplying the total employment of that
establishment and the percentage of company sales, revenue or employment that is attributed to smart grid
activities.
Table 2 Smart Grid Portion of Company Activities
Company % Business
Devoted to
Smart Grid
Activities
Note Data Sources
Accenture 3.94% 9,300 employees are working in the
smart grid field, and the total number of
employees of Accenture is 236,000. The
percentage of smart grid employees is
9,300 divided by 236,000, which is
around 4%.
http://www.smartgridnews.com/
artman/publish/news/Accenture-
smart-grid-Making-the-shift-
from-smart-grid-pilots-to-smart-
grid-operations-3573.html
Hoover’s Company Profile
GE Energy
50% Energy management, oil & gas, and
power & water are the three major areas
in which GE Energy operates.
Smart grid businesses are key
components for the energy management
and power & water department, which
account for about 50% of the company’s
business areas.
http://www.ge-
energy.com/about/about_ge_ene
rgy_management.jsp
http://www.ge-
energy.com/about/power_water.j
sp
Honeywell
50% 50% of Honeywell’s products are linked
to energy efficiency, demand/energy
management, and low-carbon generation
technologies.
http://honeywell.com/Solutions-
Technologies/Pages/energy.aspx
Oracle 5%
Oracle provides hardware and software
support for over 20 industries, one of
which is electric utilities. Energy
efficient platforms and smart grid
gateway are the major smart grid
http://www.oracle.com/us/indust
ries/utilities/utilities-smart-grid-
ds-323531.pdf
2012 STIP Internship Report Shan Zhou
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products.
OSI Soft 10% Power & utilities is one of the seven
business areas of OSI Soft, and major
smart grid products include AMI and
renewable technologies. I assume that
around 10% of the total business
activities of OSI Soft are related to smart
grid.
http://www.osisoft.com/value/in
dustry/PowerUtilities/
Rockwell
Automation
50% Rockwell Automation is an official
ENERGY STAR® Industrial Service
and Product Provider. Its smart grid
products and services include power &
energy management solutions,
intelligent motor control, energy
management software, and energy
efficiency variable frequency drives,
which account for about 50% of its
services.
http://www.rockwellautomation.
com/solutions/pems/
http://www.rockwellautomation.
com/solutions/sustainability/ene
rgy.html
Johnson
controls
100% Johnson Controls is a pioneer producer
of building energy management system.
Other service areas such as hybrid
batteries and renewable energy also
provide important smart grid products.
Therefore, I assume all its services are
related to smart grid.
http://www.johnsoncontrols.com
/content/us/en/products/building
_efficiency/building_manageme
nt.html
Schneider
Electric
50% Schneider Electric provides products
that support flexible distribution, smart
generation, demand-side management,
efficient homes, and efficient enterprise.
Around half of the sales relates to safe
and reliable access to energy.
http://www2.schneider-
electric.com/documents/interacti
ve-publications/energy-
brochure/files/docs/energy-
made-smarter.pdf
Siemens 50% Two out of the four service areas of
Siemens provide smart grid solutions:
building technologies services and
energy services.
http://www.siemens.com/entry/c
c/en/#2209170-2209890
Thomas &
Betts
10% Power quality, efficiency & reliability is
the major smart grid service area in
which Thomas & Betts operates. It has
11 service areas in total.
http://www.tnb.com/pub/node/1
10
Ventyx 10% Ventyx provides six industry solutions,
one of which is energy & utilities. This
solution entails smart grid –related
services such as clean energy generation
and demand response management.
http://www.ventyx.com/en/indus
try/energy
http://ventyx.com/en/industry/en
ergy/energy-mktg-service
In total, there are 128 smart grid establishments in Georgia, together employing 5,024 people. Six
companies are headquartered in Georgia, including EFACEC ACS, Exide Technologies, Landis+Gyr,
Comverge, GE Energy and Suniva.78.8% of smart grid jobs in Georgia are located in the metro Atlanta
area, over one fourth of which are in the city of Atlanta (see Figure 3). Other studies have also confirmed
that the metro Atlanta area is one of the nation’s largest cleantech clusters. For instance, Muro et al. (2011)
rank the Atlanta-Sandy Springs-Marietta region the country’s seventh largest metro clean economy in
2012 STIP Internship Report Shan Zhou
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2010, with clean economy jobs accounting for 1.9% of total jobs in the region (Muro, Rothwell, & Saha,
2011). Some other smart grid industry clusters are formed in cities such as Columbus, Eastanolle,
Waynesboro, Rincon, and Athens, accounting for over 90% of smart grid jobs that are outside the metro
Atlanta area (See Table 3).
Figure 2 Smart Grid Employment in Georgia Cities
Table 3 Top Ten Cities/Regions by Smart Grid Jobs
Region/City Number of SG Employees
1 Metro Atlanta 3957
2 Columbus 358
3 Eastanollee 211
4 Waynesboro 196
5 Rincon 105
6 Athens 94
7 Savannah 18
8 Colbert 18
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9 Watkinsville 10
10 Ellabell 10
The employee size of smart grid establishments in Georgia ranges from 1 to 1,000. A majority of firms
are small-size business. 79 out of the 128 smart grid establishments in Georgia have fewer than 10
employees, accounting for 62% of the total firms (see Figure 4). 28 establishments have an employee size
between 11 and 50, and 21 firms employ over 50 people.
Figure 3 Number of Establishments by Employment Base
Smart grid establishments in Georgia are classified by four organization types: contracting & construction,
wholesale, business service and device manufacturing. Figure 5 provides an overview of the
establishment counts and number of jobs for each organization type. Devise manufacturing is dominant in
Georgia’s smart grid industry – 45 smart grid manufacturing facilities providing 4,228 jobs, which
account for over 80% of the total smart grid jobs. Actually Georgia is one of the top states in the U.S. in
terms of smart grid manufacturing (Lowe et al., 2011). The other three organization types hire 797 people,
accounting for 15.8% of total smart grid employment. However, high-value smart grid products/services
such as data analysis software and business strategy development are lagging behind, which have the
smallest number of people employed. The employee size of smart grid device manufacturing facilities is
the largest compared to the other three organization types, with an average employee size of 94 people.
The average employee sizes for contracting & construction, wholesale and business service are 11, 10,
and 7 respectively.
79
28
5 13
2 1 0
10
20
30
40
50
60
70
80
90
1-10 11-50 51-100 101-200 201-1,000 1,000+
Nu
mb
er
of
Esta
blis
hm
en
ts
Employee Size Range
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Figure 4 Smart Grid Establishments & Employment by Organization Types
When categorized by four market segments - the advanced metering infrastructure, demand/energy
management, grid interconnection, and transmission & distribution management, 54 and 34 smart grid
establishments in Georgia are grid interconnection and transmission & distribution management firms,
generating 2,259 and 2,316 jobs respectively (See Figure 6). Demand/energy management and advanced
metering infrastructure have 1,249 and 1,312 employees working in 39 and 18 establishments
respectively. The average employee size of transmission & distribution management is the largest due to a
high number of device manufacturers.
30
26 27
45
339 256 202
4,228
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,500
0
5
10
15
20
25
30
35
40
45
50
Emp
loym
en
t
Esta
blis
hm
en
ts
Number of Establishments
Number of Employees
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Figure 5 Smart Grid Establishments & Employment by Market Segments
Employment data of the smart grid establishments in Georgia are used as input parameter in the I/O
model, loaded with 2010 IMPLAN data for Georgia. As each establishment has its own NAICS code, the
employment data are aggregated by NAICS classes and then transformed into employment for
corresponding IMPLAN sectors. I/O analysis results show that total economic output of smart grid firms
is around 3.4 billion, with a total employment effect of 14 thousand people. Table 4 also shows
employment, labor income and output for direct, multiplier and total effects. The employment multiplier
is 2.9, which means for one job created in the smart grid industry, 2.9 jobs will be created throughout the
whole economy.
Table 4 Economic Impacts of Smart Grid Firms in Georgia
Impact Type Employment Labor Income ($M) Output ($M)
Direct Effect 5,030 492 2,056
Multiplier Effect 9,431 465 1,308
Total Effect 14,461 957 3,364
Multiplier 2.9 1.9 1.6
39
18
54
34
1,249 1,312
2,259 2,316
0
500
1,000
1,500
2,000
2,500
0
10
20
30
40
50
60
Demand/EnergyManagement
AMI GridInterconnection
Transmission &Distribution
Management
Emp
loym
en
t
Esta
blis
hm
en
ts
Number ofEstablishments
Number ofEmployees
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5. Economic Impacts of Smart Grid Projects
Deployment of smart grid technologies not only lays the foundation for grid modernization, but also
creates jobs and drives local economic growth. Hence the second part of this study addresses the
economic impacts of smart grid investments from the federal government. Smart grid investments from
the state government that could have been spent somewhere else in the state and also create jobs are not
included in the analysis because this study only estimates the net employment effect of smart grid
investment. Information about project budgets and equipment is compiled, and sectors that are affected by
project spending are identified. This study also makes assumptions about percentage of project
expenditures that are spent in these sectors, which are then used as input parameters for the I/O model.
Details of analysis for each program are provided below.
Cobb Electric Membership Corp (EMC) Smart Grid Program2
Funding Source: American Recovery and Reinvestment Act of 2009
Recipient: Cobb Electric Membership Corporation
Federal Share: $16,893,836
Equipment:
195,000 Smart Meters
AMI Communication Systems
o Meter Communications Network
o Backhaul Communications
Meter Data Management System
Home Area Networks
Customer Web Portal
3,800 In-Home Displays
40,000 Direct Load Control Devices
Table 5 Assumed Spending Sectors of the Cobb Electric Membership Corp (EMC) Smart Grid Program
IMPLAN
Sector
Description % of
Total
Activities
Investment($)/year
253 Electricity and signal testing instruments manufacturing 20% $1,126,255.7
238 Broadcast and wireless communications equipment 20% $1,126,255.7
244
Electronic capacitor, resistor, coil, transformer, and other
inductor manufacturing
15% $844,691.8
350 Internet publishing and broadcasting 10% $563,127.9
193 Hardware manufacturing 10% $563,127.9
238 Broadcast and wireless communications equipment 10% $563,127.9
374 Management, scientific, and technical consulting services 10% $563,127.9
2 Project information see (DOE, 2012a)
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372 Computer systems design services 5% $281,563.9
Table 6 Economic Impacts of the Cobb Electric Membership Corp (EMC) Smart Grid Program
Impact Type Employment Labor Income ($) Total Value Added ($) Output ($)
Direct Effect 72.0 7,064,833.1 7,682,212.9 16,813,557.6
Indirect Effect 36.5 2,184,444.5 3,623,546.5 5,691,965.4
Induced Effect 77.4 3,210,026.4 5,898,491.1 9,324,232.1
Total Effect 185.9 12,459,304.0 17,204,250.5 31,829,755.0
Georgia System Operations Corporation Energy Management Infrastructure Project3
Funding Source: American Recovery and Reinvestment Act of 2009
Recipient: Georgia System Operations Corporation, Inc.
Federal share: $6,456,501
Equipment:
Transmission Systems Communication Equipment
o Software and hardware platform
o Advanced analysis software
o Thermal overload monitoring
Table 7 Assumed Spending Sectors of the Georgia System Operations Corporation Energy Management Infrastructure Project
IMPLAN
Sector
Description % of Total Activities Investment
($)/year
193 Hardware manufacturing 20% 430433.4
236 Computer terminals and other computer peripheral
equipment manufacturing
20% 430433.4
238 Broadcast and wireless communications equipment 20% 430433.4
244 Electronic capacitor, resistor, coil, transformer, and
other inductor manufacturing
20% 430433.4
345 Software publishers 20% 430433.4
Table 8 Economic Impacts of the Georgia System Operations Corporation Energy Management Infrastructure Project
Impact Type Employment Labor Income ($) Total Value Added ($) Output ($)
Direct Effect 22.0 1,932,376.9 2,876,057.9 6,073,164.7
Indirect Effect 17.9 1,022,337.7 1,680,151.9 2,644,117.8
Induced Effect 24.7 1,024,102.4 1,881,352.4 2,974,712.2
Total Effect 64.5 3,978,817.0 6,437,562.1 11,691,994.6
3 Project information see (DOE, 2012b)
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Municipal Electric Authority of Georgia Smart Grid Distribution Automation Project4
Funding Source: American Recovery and Reinvestment Act of 2009
Recipient: Municipal Electric Authority of Georgia
Federal share: $12,267,350
Equipment:
Substation Automation Equipment for 128 out of 171 Distribution Substations
o Supervisory Control and Data Acquisition (SCADA) Communications Network
o Automated Voltage Regulators
o Smart Meters
o Smart Relays
Transmission Line Monitoring System
Table 9 Assumed Spending Sectors of the Municipal Electric Authority of Georgia Smart Grid Distribution Automation Project
IMPLAN
Sector
Description % of Total
Activities
Investment($)
/year
36 Construction of other new nonresidential structures 20% 817,823
266 Power, distribution, and specialty transformer manufacturing 20% 817,823
244 Electronic capacitor, resistor, coil, transformer, and other
inductor manufacturing
10% 408,912
245 Electronic connector manufacturing 10% 408,912
247 Other electronic component manufacturing 10% 408,912
268 Switchgear and switchboard apparatus manufacturing 10% 408,912
269 Relay and industrial control manufacturing 10% 408,912
273 Wiring device manufacturing 10% 408,912
Table 10 Economic Impacts of the Municipal Electric Authority of Georgia Smart Grid Distribution Automation Project
Impact Type Employment Labor Income ($) Total Value Added ($) Output ($)
Direct Effect 57.8 3,605,967.7 5,390,818.7 12,049,220.5
Indirect Effect 25.7 1,586,223.3 2,549,816.2 4,201,916.9
Induced Effect 43.4 1,800,492.4 3,307,844.4 5,229,902.7
Total Effect 126.9 6,992,683.4 11,248,479.4 21,481,040.1
Tri-State Electric Membership Corporation Smart Grid Project5
4 Project information see (DOE, 2012c)
5 Project information see (DOE, 2012e)
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Funding Source: American Recovery and Reinvestment Act of 2009
Recipient: Tri-State Electric Membership Corporation
Federal share: $1,138,060
Equipment:
Smart Meters
Communication Systems
Portal Access for 18,000 Customers
Table 11 Assumed Spending Sectors of the Tri-State Electric Membership Corporation Smart Grid Project
IMPLAN
Sector
Description % of Total
Activities
Investment ($) /
year
253 Electricity and signal testing instruments manufacturing 50% 189676.7
238 Broadcast and wireless communications equipment 30% 113806
350 Internet publishing and broadcasting 20% 75870.7
Table 12 Economic Impacts of the Tri-State Electric Membership Corporation Smart Grid Project
Impact Type Employment Labor Income ($) Total Value Added ($) Output ($)
Direct Effect 3.2 431,735.7 484,124.1 1,160,127.5
Indirect Effect 2.2 139,461.6 236,964.0 366,673.8
Induced Effect 4.8 198,286.9 364,375.0 575,969.0
Total Effect 10.1 769,484.2 1,085,463.1 2,102,770.4
Southern Company Services, Inc. Smart Grid Project6
Funding Source: American Recovery and Reinvestment Act of 2009
Recipient: Southern Company Services
Federal share: $164,527,1607
Equipment:
Distributed Energy Efficiency Program
IDMS and SCADA Fault Locating
Distribution Automation
6 Project information see (DOE, 2012d; Pigford, 2011)
7 Total budget of this project is $330,130,482, in which Georgia Power receives $105.2 million,
accounting for 31.87%. Hence this study assumes that Georgia’s share of the federal investment for this
project is also 31.87%.
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Transmission Line Automation
Smart Substations
Table 13 Assumed Spending Sectors of the Southern Company Services, Inc. Smart Grid Project (Georgia)
IMPLAN
Sector
Description % of Total
Activities
Investment ($)
/year
269 Relay and industrial control manufacturing 50% 8,738,895.9
266 Power, distribution, and specialty transformer
manufacturing
20% 3,495,558.4
268 Switchgear and switchboard apparatus manufacturing 20% 3,495,558.4
244 Electronic capacitor, resistor, coil, transformer, and other
inductor manufacturing
10% 1,747,779.2
Table 14 Economic Impacts of the Southern Company Services, Inc. Smart Grid Project (Georgia)
Impact Type Employment Labor Income ($) Total Value Added ($) Output ($)
Direct Effect 150.9 15,937,998.6 27,138,291.1 52,101,345.1
Indirect Effect 69.9 4,644,655.9 7,639,735.8 12,249,540.1
Induced Effect 171.6 7,132,841.8 13,102,918.6 20,718,751.1
Total Effect 392.4 27,715,496.3 47,880,945.4 85,069,636.2
Ocmulgee Electric Membership Corporation Smart Grid Project
Funding Source: United States Department of Agriculture
Recipient: Ocmulgee Electric Membership Corporation
Federal share: $8,968,000
Equipment: Distribution line
Table 15 Assumed Spending Sectors of the Ocmulgee Electric Membership Corporation Transmission System Improvement Project
IMPLAN
Sector
Description % of Total
Activities
Investment ($)
/year
272 Communication and energy wire and cable manufacturing 0.5 1494666. 7
266 Power, distribution, and specialty transformer
manufacturing
0.2 597866.7
244 Electronic capacitor, resistor, coil, transformer, and other
inductor manufacturing
0.1 298933.3
268 Switchgear and switchboard apparatus manufacturing 0.1 298933.3
269 Relay and industrial control manufacturing 0.1 298933.3
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Table 16 Economic Impacts of the Ocmulgee Electric Membership Corporation Transmission System Improvement Project
Impact Type Employment Labor Income ($) Total Value Added ($) Output ($)
Direct Effect 24.5 2,022,531.9 3,490,075.7 8,968,000.0
Indirect Effect 13.7 874,164.5 1,456,502.3 2,672,121.3
Induced Effect 24.2 1,004,642.8 1,845,548.5 2,918,184.9
Total Effect 62.4 3,901,339.2 6,792,126.5 14,558,306.2
In sum, there are 5 smart grid projects funded by the recovery act, and 1 project funded by the USDA.
Federal investments range from 1 million to 52 million, with economic multipliers between 2.2 and 3.2
(See Table 17). More than 800 jobs are created. Although it can be argued that these are temporary jobs,
it definitely provides the foundation for future deployment of other clean technologies.
Table 17 Economic Impacts of Smart Grid Investments in Georgia
Project Funding
Source
Federal
Investment
($M)
Total
Employment
(Job-Year)
Labor
Income
($M)
Output
($M) Employment
Multiplier
Cobb Electric Membership
Corp (EMC) Smart Grid
Program
Recovery
Act 16.9 186 12.5 31.8 2.6
Georgia System Operations
Corporation Energy
Management Infrastructure
Project
Recovery
Act 6.5 65 4.0 11.7 2.9
Municipal Electric Authority
of Georgia Smart Grid
Distribution Automation
Project
Recovery
Act 12.3 127 7.0 21.5 2.2
Tri State EMC Smart Grid
Project
Recovery
Act 1.1 10 0.8 2.1 3.2
Southern Company Smart
Grid Project
Recovery
Act 52.4 392 27.7 85.1 2.6
Ocmulgee Electric
Membership Corporation
Transmission System
Improvement Project
USDA
Rural
Utilities
Services
9.0 62 3.9 14.6 2.5
Total - 98.2 842 55.9 166.8 -
6. Smart Grid Policies in Georgia
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This section provides an overview of policies in Georgia that promote the modernization of electric grid
systems. The types of smart grid policies examined here are drawn from the study by Brown and Zhou
(2012), including net metering policy, interconnection standards and rules, demand response and dynamic
pricing programs, smart meter target, and renewable portfolio standard (M. Brown & Zhou, 2012).
Georgia has a broad array of dynamic pricing programs and has replaced most of its old meters with AMI,
but relative to pioneer states in the country, its net metering and interconnection standards are restrictive
and may pose constraint to the deployment of smart grid technologies (Wiedman et al., 2011). The State
also has one of the lowest rates of renewable electricity generation in the country, with no political
commitment to a renewable electricity generation target (M. A. Brown et al., 2011).
6.1 Net Metering
Georgia General Assembly passed the Georgia Cogeneration and Distributed Generation Act of 2001 to
encourage private investment in renewable energy(Georgia General Assembly, 2001). This act requires
utilities to provide net-metering for all eligible customers. Eligible distributed generation technologies are
customer-owned facilities that use photovoltaic systems, wind turbines and/or fuel cells. The peak
generating capacity of eligible systems must be smaller than 10kW for residential customers and 100 kW
for commercial customers. The cumulative generating capacity of net-metered systems is limited to 0.2%
of a utility’s annual peak demand in the previous year. Any net excess generation will be credited to the
customer's next bill at tariffs filed with the Georgia Public Service Commission.
Solar photovoltaic generation receives special attention under Georgia’s net metering policy scheme.
Georgia Power, the dominant utility in the state, operates the Solar Buyback Program, which allows
customers to sell electricity produced by solar panels (Georgia Power, 2011b). The solar purchase tariffs
are subject to change according to state policies. Through 2010, the Solar Purchase Price was 17 cents per
kWh, and the aggregate energy purchases were limited to 2.9MW. Starting in 2011, solar-photovoltaic
electricity is purchased at avoided solar cost.
6.2 Interconnection Standards
The Cogeneration and Distributed Generation Act of 2001 allows certain residential (smaller than 10kW)
and commercial (smaller than 100 kW) facilities that use photovoltaic system, wind turbines and fuel cells
to interconnect and receive net metering tariffs from utilities (Georgia General Assembly, 2001). This act
requires customers to meet applicable interconnection requirements, such as the National Electrical Code,
National Electrical Safety Code, and the IEEE standards. However, Georgia does not establish its own
interconnection standards.
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6.3 Smart Meter Deployment
Georgia Power has installed about 2.1 million smart meters since 2007, and it plans to provide every
customer with a smart meter by the end of 2012 (Georgia Power, 2011c). All together 2.4 million meters
will be installed. No additional service charge will be added to customers’ energy bill. Few of these smart
meters provide real-time information to consumers; most of them automate the collection of consumption
data by the utility.
6.4 Demand Response Programs
Georgia Power has been very successful in implementing dynamic pricing programs. An array of
dynamic pricing programs is offered to various types of customers, with electricity rates ranging from
1.25 cents per kWh during super off-peak times to 19.29 cents during on-peak hours (See Table 8). For
instance, Time-of-use rates are available to residential customers and electric vehicle owners, as well as
small, medium, and large businesses. Real time pricing for some customers are based on day-ahead or
hour-ahead power supply prices. In 2005, Georgia Power’s commercial and industrial real-time pricing
programs alone had 1,600 participants, which represented over 5,000 MW of qualifying load (Charles J.
Black Energy Economics, 2011).
Table 18 Dynamic Pricing Programs Offered by Georgia Power8
Type of Rates Applicable Customers Electricity Rate (cents per kWh)
On-peak Off-peak Super
Off-peak
Shoulder
Time-of-use Residential 19.29 4.36 -
Plug-in Electric Vehicle 19.29 5.83 1.25 -
Small Business 16.17 2.79~7.30 - -
Medium Business 11.69 2.11 - 5.61
Large Business 9.56 4.32 - 1.51
Real time pricing Customers with a peak
30-minute
demand >250
kW/month
Hourly prices are determined each day
Customers with a peak
30-minute demand >
5000 kW/month
Prices are updated each hour, sixty minutes before
becoming effective
6.5 Renewable Portfolio Standards
8 See (Georgia Power, 2011a)
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Renewable portfolio standard (RPS) is a regulatory goal imposed on utilities which requires a certain
proportion of their electricity generated from renewable energy sources. As of June, 2012, 29 states have
implemented the RPS policy, while Georgia does not have one (DSIRE, 2012). Many southern states
oppose RPS due to small renewable share in their energy mix. For instance, 4.7% of Georgia’s total
electricity generation was from renewable energy in 2010, and conventional hydro and biomass are the
two dominant sources(EIA, 2012). Research shows that a much larger proportion of electricity from
renewable sources is economically feasible if solar becomes more cost-competitive, intermittent
transmission barriers are overcome, and emerging technologies become mature (M. A. Brown et al.,
2011). A state RPS would provide incentives for grid infrastructure upgrades and increase demand for
grid interconnection technologies that are essential for renewable energy deployment. The development
of smart grid technologies in Georgia could especially accelerate the penetration of demand-side
renewables, which are proved to be significant low-cost contributors to the state’s clean energy portfolio
(M. A. Brown et al., 2011).
7. Conclusions and Recommendations
There are 128 smart grid establishments in Georgia. The numbers of establishments in the four smart grid
market segments - advanced metering infrastructure, demand/energy management, grid interconnection,
and transmission & distribution management are 18, 39, 54 and 34 respectively. The smart grid industry
in Georgia employs roughly 5,000 people and generates over 9,400 indirect and induced jobs. The total
economic output generated in Georgia by this sector is $3.4 billion. On the other hand, Georgia is
advancing in smart grid technologies deployment. Smart grid projects receive $98.2 million from out-of-
state funding sources, including the Recovery Act and the US Department of Agriculture, which create
842 job-years and $166.8 million in total economic output.
This study shows that smart grid can be a vital source of green jobs and a driver for business growth.
Establishing Georgia as an early adopter of smart grid will not only provide a reliable and efficient
electric grid, but also help retain and attract smart grid companies, and strengthen the region’s
competitive advantage. However, this analysis shows most jobs in the smart grid sector in Georgia are
low-value manufacturing jobs. Financial benefits at the high-end smart grid products and services have
not been fully explored by Georgia.
Georgia is still lagging behind many other states in several smart grid policies, especially in net metering
policy and interconnection standards. There is also an absence of government obligation for renewable
energy in Georgia. Policies drive the market and the market in turn drives the technology development.
To truly become a leader in SG industry, GA has to establish supportive policy framework to first build
2012 STIP Internship Report Shan Zhou
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the market climate for smart grid. Increasing Georgia’s net metering program capacity from 0.2% to 5%
of utilities’ peak demand and considering adoption of interconnection standards and a renewable portfolio
standard would greatly facilitate the penetration of smart grid technologies. More efforts should also be
put to encourage research and development in high-value smart grid products. Public and private
partnership, such as the collaboration between the city of Norcross and GE would also be helpful for
smart grid technology penetration.
References:
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Henton, D., Grose, T., Kishimura, A., & Harutyunyan, A. (2011). Smart Grid Deployment and the Impact on Silicon Valley: Collaborative Economics.
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sharing Retrieved July 10th, 2011, from http://www.smartgridchinasummit.com/smartgrid/ Torgerson, M., Sorte, B., & Nam, T. (2006). Umatilla County's economic structure and the economic
impacts of wind energy development: an input-output analysis: Rural Studies Program, Oregon State University.
Wiedman, J., Culley, T., Chapman, S., Jackson, R., Varnado, L., & Rose, J. (2011). Freeing the Grid - Best Practices in State Net Metering Policies and Interconnection Procedures. San Francisco, CA; New York, NY: The Vote Solar Initiative, Network for New Energy Choices.
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Appendix A. Smart Grid Establishments in Georgia
Organization
Name
NAICS
Code
Organization Type Location Smart Grid
Employment
Total
Employment9
Market Segments
ABB INC. 335311 Device manufacturing Athens 76 76 Transmission & Distribution
Management
Accenture LLP
541611 Business services Alpharetta 0.04 1 AMI
Accenture
LLP
541611 Business services Alpharetta 0.32 8 AMI
Accenture LLP
541611 Business services Atlanta 0.08 2 AMI
Accenture
LLP
541611 Business services Atlanta 8.59 218 AMI
Accenture LLP
541611 Business services Peachtree city 0.99 25 AMI
Advanced
Control Systems INC
334111 Device manufacturing Norcross 110 110 Demand/Energy
Management
Alstom Grid
T&D INC.
335999 Device manufacturing Waynesboro 21 21 Transmission & Distribution
Management
Altenergy INC
238220 Contracting/Construction Atlanta 4 4 Grid Interconnection
American
Solar
&Alternative Energies
423720 Wholesale Roswell 2 2 Grid Interconnection
Aqua & Solar
Innovative Systems
561499 Wholesale Woodstock 3 3 Grid Interconnection
Areva T&D
INC.
335311 Device manufacturing Waynesboro 175 175 Transmission & Distribution
Management
Atlanta
Renewable
Energy INC
238220 Contracting/Construction Clarkston 4 4 Grid Interconnection
Automated Logic Corp
334512 Device manufacturing Kennesaw 200 200 Demand/Energy Management
Carrier
Corporation
333415 Device manufacturing Athens 17.5 350 Demand/Energy
Management
Cisco Systems, INC.
334118 Device manufacturing Atlanta 16.5 330 AMI/Transmission &Distribution Management
Comverge
INC
334512 Device manufacturing Norcross 35 35 Demand/Energy
Management
Creative Solar USA
423720 Wholesale Woodstock 2 2 Grid Interconnection
Directsun
Solar
Energy&Tech
238220 Contracting/Construction Atlanta 2 2 Grid Interconnection
Eaton
Corporation
332510 Device manufacturing Eastanollee 211 211 Transmission & Distribution
Management
Eaton Energy
Solutions, INC
541330 Business services Alpharetta 18 18 Demand/Energy
Management
Eaton Energy
Solutions, INC
541330 Business services Alpharetta 18 18 Demand/Energy
Management
EFACEC
ACS, INC
334111 Device manufacturing Norcross 96 96 Transmission & Distribution
Management
EFACEC ACS, INC.
334111 Device manufacturing Rincon 105 105 Transmission & Distribution Management
Elster
American Meter
Company,
LLC
811219 Business services Cartersvlle 18 18 AMI
9 Total employment includes the number of employees working in all business areas.
2012 STIP Internship Report Shan Zhou
28
Empower
Energy Technology
238220 Contracting/Construction Atlanta 4 4 Demand/ Energy
Management/Grid Interconnection
Exide
Technologies
335912 Device manufacturing Alpharetta 5 5 Grid Interconnection
Exide Technologies
335912 Device manufacturing Columbus 133 133 Grid Interconnection
Exide
Technologies
335912 Device manufacturing Decatur 15 15 Grid Interconnection
Exide Technologies
335912 Device manufacturing Milton 320 320 Grid Interconnection
Feid Repeve
Renewable
LLC
541612 Business services Soperton 6 6 Grid Interconnection
First Century
Energy
Holdings
541612 Contracting/Construction Atlanta 6 6 Grid Interconnection
Fischer Contractors
LLC
236115 Contracting/Construction Alpharetta 4 4 Grid Interconnection
General Electric
Company
423610 Wholesale Norcross 75 150 Grid Interconnection
General
Electric Company
221122 Business services Norcross 12.5 25 Transmission & Distribution
Management
General
Electric Company
541330 Business services Duluth 19.5 39 Transmission & Distribution
Management
General
Electric Energy
335311 Device manufacturing Atlanta 1,000 2,000 AMI/ Transmission &
Distribution Management/Grid
Interconnection
General
Electric Interantional,
INC
423610 Wholesale Atlanta 25 50 AMI/ Transmission &
Distribution Management
Georgia Solar INC
423720 Wholesale Ellijay 2 2 Grid Interconnection
Georgia Solar
Solutions Inc
238220 Contracting/Construction Roswell 4 4 Demand/ Energy
Management/Grid
Interconnection
Greenspeed
Energy
Solutions
238220 Contracting/Construction Atlanta 6 6 Demand/ Energy
Management/Grid
Interconnection
GS Battery (USA) INC
423610 Wholesale Roswell 15 15 Grid Interconnection
H I Solutions
INC
339999 Device manufacturing Kennesaw 28 28 Demand/Energy
Management
Hannah Solar 423720 Wholesale Atlanta 2 2 Grid Interconnection
Hannah Solar 423720 Wholesale Atlanta 6 6 Grid Interconnection
HB Solar
Atlanta
423720 Wholesale Smyrna 2 2 Grid Interconnection
Honeywell
Building
Solutions SES Corporation
238220 Contracting/Construction Peachtree city 3 3 Demand/Energy
Management
Honeywell
INC.
334513 Device manufacturing Duluth 75 150 Demand/Energy
Management
Honeywell International
INC
221122 Business services Atlanta 3.5 7 Demand/Energy Management
Honeywell International
INC
511210 Business services Brunswick 1 2 Demand/Energy Management
Honeywell
International
561110 Business services Duluth 0.5 1 Demand/Energy
Management
2012 STIP Internship Report Shan Zhou
29
INC
I V Solar INC 423720 Wholesale Canton 2 2 Grid Interconnection
Icontrol LLC 541611 Business services Alpharetta 5 5 AMI/Demand / Energy Management
Inman Solar 423720 Wholesale Atlanta 2 2 Grid Interconnection
Johnson
Controls Battery Group
INC.
238220 Contracting/Construction Roswell 200 200 Demand/Energy
Management
Johnson
Controls INC
541512 Business services Norcross 42 42 Demand/Energy
Management
Johnson
Controls INC
238220 Contracting/Construction Columbus 25 25 Demand/Energy
Management
Johnson
Controls INC
334512 Device manufacturing Alpharetta 9 9 Demand/Energy
Management
Johnson
Controls INC
334512 Device manufacturing Alpharetta 25 25 Demand/Energy
Management
Johnson
Controls INC
334512 Device manufacturing Atlanta 2 2 Demand/Energy
Management
Johnson
Controls
Interiors LLC
423730 Wholesale Tucker 25 25 Demand/Energy
Management
Johnson Controls
Interiors LLC
335314 Device manufacturing Kennesaw 28 28 Transmission & Distribution Management
JouleX 444190 Business services Atlanta 4 4 Demand/Energy Management
Landis+Gyr 334515 Device manufacturing Alpharetta 200 200 AMI
Mage Solar
Projects, INC
334416 Device manufacturing Dublin 9 9 Grid Interconnection
Maximus
Solar LLC
423720 Wholesale Stone
Mountain
2 2 Grid Interconnection
Metro Solar
INC
423720 Wholesale Atlanta 6 6 Grid Interconnection
Modicum Solar
423720 Wholesale Sharpsburg 2 2 Grid Interconnection
One World
Sustainable
423720 Wholesale Savannah 2 2 Grid Interconnection
One World Sustainable
Energy
238220 Contracting/Construction Lexington 4 4 Demand/ Energy Management/Grid
Interconnection
One World
Sustainable Energy
423720 Wholesale Colbert 18 18 Demand/ Energy
Management/Grid Interconnection
Oracle
America, INC.
511210 Business services Atlanta 0.75 15 AMI
Oracle
Corporation
511210 Business services Ellabell 9.55 191 AMI
Oracle
Systems Corporation
511210 Business services Atlanta 10 200 AMI
OSI Soft 443142 Business services Savannah 0.6 6 AMI
Panasonic
Corporation of
North America
335911 Device manufacturing Columbus 200 200 Grid interconnection
Peek Solar
LLC
423720 Wholesale Mableton 5 5 Grid Interconnection
Radiance Solar
238220 Contracting/Construction Atlanta 9 9 Grid Interconnection
Rockwell
Automation, INC
541690 Business services Atlanta 1.5 3 Transmission & Distribution
Management
Rockwell
Automation,
541690 Business services Savannah 2.5 5 Transmission & Distribution
Management
2012 STIP Internship Report Shan Zhou
30
INC
Rockwell
Automation,
INC
541690 Business services Tucker 1.5 3 Transmission & Distribution
Management
Rockwell
Automation,
INC
335312 Device manufacturing Flowery
Branch
12.5 25 Transmission & Distribution
Management
Rockwell Automation,
INC
335313 Device manufacturing Lawrenceville 0.5 1 Transmission & Distribution Management
Rockwell Automation,
INC
335314 Device manufacturing Norcross 25 50 Transmission & Distribution Management
Rockwell
Automation, INC
423610 Wholesale Alpharetta 27.5 55 Transmission & Distribution
Management
Schneider
Electric Square D
811310 Business services Norcross 7.5 15 Transmission & Distribution
Management
Schneider
Electric
Square D
238210 Contracting/Construction Kennesaw 1.5 3 Transmission & Distribution
Management
Schneider
Electric USA,
INC
334513 Device manufacturing Kennesaw 26.5 53 Demand/Energy
Management
Schneider Electric USA,
INC
238210 Contracting/Construction Norcross 2 4 Transmission & Distribution Management
Schneider Electric USA,
INC
335313 Device manufacturing Conley 4 8 Transmission & Distribution Management
Sensus 334519 Device manufacturing Alpharetta 7 7 AMI
Siemens
Energy & Automation
238220 Contracting/Construction Albany 4 4 Demand/Energy
Management
Siemens
Energy & Automation
238220 Contracting/Construction Dahlonega 4 4 Demand/Energy
Management
Siemens
Energy &
Automation
238220 Contracting/Construction Norcross 4 4 Demand/Energy
Management
Siemens
Energy &
Automation
238220 Contracting/Construction Stone
mountain
4 4 Demand/Energy
Management
Siemens Energy, INC.
333611 Device manufacturing Alpharetta 150 300 Grid Interconnection
Siemens
Industry INC
423610 Wholesale Norcross 10 20 Transmission & Distribution
Management
Siemens
Industry INC.
334512 Device manufacturing Alpharetta 43.5 87 Demand/Energy
Management
Siemens
Industry INC.
334512 Device manufacturing Norcross 100 200 Demand/Energy
Management
Siemens Industry INC.
334512 Device manufacturing Savannah 10 20 Demand/Energy Management
Siemens
Industry INC.
334513 Device manufacturing Norcross 150 300 Demand/Energy
Management
Siemens
Industry INC.
334519 Device manufacturing Waycross 0.5 1 Demand/Energy
Management
Siemens
Industry INC.
335313 Device manufacturing Alpharetta 46 92 Transmission & Distribution
Management
Siemens
Industry INC.
335313 Device manufacturing Norcross 50 100 Transmission & Distribution
Management
Siemens
Industry INC.
335313 Device manufacturing Norcross 150 300 Transmission & Distribution
Management
Siemens
Industry INC.
335313 Device manufacturing Tucker 175 350 Transmission & Distribution
Management
2012 STIP Internship Report Shan Zhou
31
Simmons
Solar Systems
238220 Wholesale Thomasville 4 4 Demand/ Energy
Management/Grid Interconnection
Soenso
Energy
238220 Contracting/Construction Marietta 4 4 Demand/ Energy
Management/Grid
Interconnection
Solar Energy
USA
238220 Contracting/Construction Alpharetta 6 6 Grid Interconnection
Solar Power
Solutions LLC
423720 Wholesale Augusta 4 4 Grid Interconnection
Solar Sun
World LLC
423720 Wholesale Gainesville 2 2 Grid Interconnection
Solarflex
Technologies LLC
238210 Contracting/Construction Watkinsville 4 4 Grid Interconnection
Solarsmith 236220 Contracting/Construction Savannah 1 1 Grid Interconnection
South Georgia
Solar Power
LLC
423720 Wholesale Valdosta 5 5 Grid Interconnection
Southern
Solar
Solutions LLC
423720 Wholesale Stockbridge 5 5 Grid Interconnection
Southern Sunpower
238220 Contracting/Construction Ellijay 2 2 Grid Interconnection
Square D
Company
335999 Device manufacturing Savannah 2 2 Grid
Interconnection/Transmission & Distribution
Management
Suncatcher of Atlanta
236220 Contracting/Construction Marietta 5 5 Grid Interconnection
Suniva 334416 Device manufacturing Norcross 150 150 Grid Interconnection
Tegsolar
Renewable
Energies
238220 Contracting/Construction Douglasville 4 4 Grid Interconnection
The McDonnell
Group
511210 Business services Marietta 7 7 AMI/ Transmission & Distribution
Management/Grid
Interconnection
The
McDonnell
Group
511210 Business services Roswell 3 3 AMI/ Transmission &
Distribution
Management/Grid Interconnection
Thomas
&Betts Corp
238210 Contracting/Construction Alpharetta 0.2 2 Transmission & Distribution
Management
Thomas &Betts Corp
238210 Contracting/Construction Atlanta 0.2 2 Transmission & Distribution Management
Turnsol
Energy
236220 Contracting/Construction Watkinsville 6 6 Grid Interconnection
United
Renewable
Energy LLC
238220 Contracting/Construction Alpharetta 12 12 Grid Interconnection
Ventyx 511210 Device manufacturing Atlanta 12 120 Demand/Energy
Management
Vishay
Americas,
INC
334416 Device manufacturing Acworth 1 1 Transmission & Distribution
Management
Source: D&B Database, Reference USA, Hoover’s Company Profiles, and Company websites