Contribution
to Global Warming Prevention
by IT Solutions

Contribution to Global Warming Prevention by IT

1 Situation Surrounding Global Warming Prevention
Awareness of global warming issue

Mid-to long-term CO2 emissions forecasts and reduction scenarios

IPCC* stated in its Fifth Assessment Report thatwarming of the climate system is unequivocal
and that it is extremely likely that anthropogenic
greenhouse gas (GHG) emissions are the dominantcause of observed warming since the mid-20th
century.
It is also reported that, in order to keep thetemperature rise less than 2ºC over the 21st
century relative to pre-industrial levels, GHG
emissions should be reduced by 40 to 70 percent
compared to 2010 by 2050, falling to almost zeroor below in 2100.
1

6ºC Scenario

CO2 Emission (Gt-CO2)

44 Gt-CO2
in 2030
Required
reductions
17 Gt-CO2
27 Gt-CO2
in 2030

2ºC
Scenario“Paris Agreement” participation by all counties
In December 2015, the “Paris Agreement,”a new international framework for GHG
emissions reduction towards post-2020, wasadopted in the 21st Conference of the Partiesof the United Nations Framework Convention
on Climate Change (COP21) in Paris, andentered into force in November 2016.
Under the “Paris Agreement,” all the major
GHG emitting countries agree to makeefforts on global warming prevention, aiming
to hold the increase in the global averagetemperature to well below 2°C above preindustrial levels (2ºC goal) as the universal
long-term goal, and substantially eliminating
GHG emissions in the second half of thiscentury. In the future, all the participating
countries, including developed countries,
emerging countries, and developing
countries, are required to make efforts on
global warming prevention on the basis of
this agreement.

Year
Source: JEITA data based on IEA*2 Energy Technology Perspectives 2015 “Scenarios & Strategies to 2050”

Major countries’ goal given in their Intended
Nationally Determined Contribution (INDC)Countries

Key Points

China

・To lower CO2 emissions per unit of GDP by
60% to 65% from the 2005 level by 2030.
・To achieve the peaking of CO2 emissions around 2030.

2013 World’s
CO2 emissions

USA・To achieve an economy-wide target of reducing its GHG
emissions by 26%-28%. below its 2005 level in 2025 andto make best efforts to reduce its emissions by 28%.

World’s total emissions:EU・To achieve an at least 40% domestic reduction
in GHG emissions by 2030 compared to 1990.

India

・To reduce the emissions intensity of its GDP by 33 to 35 percent
by 2030 from 2005 level (emission gases are not specified).
・To achieve about 40 percent cumulative electric
power installed capacity from non-fossil fuel basedenergy resources by 2030 with the help of transfer oftechnology and low cost international finance.

Russia・CO2 emissions reduction of 25% to 30% relative
to 1990 in 2030 might be a long-term indicator.

Japan・To achieve the level of a GHG emissions
reduction of 26.0% by FY 2030 compared to FY
2013 (25.4% reduction compared to FY 2005).

Brazil・To reduce GHG emissions by 37% below 2005 levels
in 2025 (To reduce GHG emissions by 43% below 2005
levels in 2030 as Subsequent indicative contribution).

Others

China

28.0%

Italy
1.0%
Australia
1.1%(emission percentage by country)

Canada1.3%

Indonesia
1.2%

28.7%

Brazil

About

2

Korea

1.4% 1.8%

England
1.4%

USA

15.7%

Japan

Mexico1.5%Germany
2.3%( 28 countries)

32.9 Gt-CO

3.7%

Russia

India

5.8%

5.0%

Source: EDMC/2016 Energy and Economy
Statistical Abstract(translated by JEITA)

Source: JEITA data based on a document of the Ministry of
Economy, Trade and Industry

Domestic measures aiming for the achievement of the mid-term goal in JapanIn May 2016, following the “Paris Agreement,” the Japanese cabinet
approved the “Plan for Global Warming Countermeasures,” which sets
forth the guidelines for domestic countermeasures against global warming.
This Plan sets the emissions reduction goal for individual sectors (industrial,commercial and other, residential, transport, and energy conversion)for the year 2030 to achieve the medium-term goal of reduction of
GHG emissions in FY2030 by 26% relative to FY2013. In particular, thereduction goal for energy-originated CO2 emissions for the residential
sector and for the commercial and other sector is as high as about 40%.
Achieving the emissions reduction goal for individual sectors requires
cross-sectoral measures throughout the entire society.
*1 IPCC: Intergovernmental Panel on Climate Change*2 IEA: International Energy Agency

2

The guide for energy-originated CO2 emissions by sector
Total: 1,235(Unit: Mt-CO2)

429

Total: 927

279

401

201

101

168
122
163
73

2013

Goal in 2030

225

＜Reduction
percentage＞

Industrial▲  6.5%

Commercial and other ▲39.7%▲39.4%
Transport▲27.4%
Energy conversion ▲27.5%
Residential

Source: JEITA data based on the “Plan for Global WarmingCountermeasures” of the Ministry of the Environment

Solutions - GHG Emissions Reduction Potential in the Year 2030 -2 IT Contribution to Energy Saving in Society
Wide range contribution by IT and electronics industry

Sectoral percentage of CO2 emissions in Japan (FY2014) and thecontribution of the IT and electronics industry to each sector

The IT and electronics industry continuously promotes
energy saving investments and measures, and energyefficient manufacturing.
Moreover, the industry has steadily promoted theimprovement of energy saving performance of various IT andelectronics equipment, which is widely spread in society,thereby contributing to CO2 emissions reduction when such
equipment is used.
Furthermore, IT solutions contribute to CO 2 emissions
reduction in other sectors by encouraging efficient use ofenergy throughout society.

Others6%

Commercial

21%

Industrial

34%

Transport

17%

Energy Residential
conversion 15%
7%

Energy-saving effects by IT solutions
The utilization of IT solutions will help to eliminate waste or
irregularity in our living and to produce energy reduction
effects. For example, the utilization of the intelligent
transportation system (ITS), which controls traffic on theentire road network, will help to save more energy in a wide
area of the transport sector. The spread of video conference
systems and electronic distribution of music also helps
to reduce movement of people and waste of resource
consumption, producing an effect of suppressing energy
consumption. Energy management systems, such as HEMS,
BEMS and FEMS*3, which monitor the status of energy usage
to control energy consumption at an optimum level, also
contribute greatly to the reduction of energy consumption.
Furthermore, by means of the development of innovative

Source: JEITA data based on the “TheGHG Emissions Data of Japan in FY2014(Final Figures),” GHG Inventory Office ofJapan, National Institute for Environmental
Studies, and on the “Commitment to a
Low-Carbon Society Fiscal 2015 Followup Results Summary (Performance infiscal 2014),” Japan Business Federation

IT and electronics
industry: About 1%

technologies, such as cyber physical system (CPS) andInternet of Things (IoT), utilization of IT solutions in a wide
range of society and a drastic increase in energy reduction
effect are expected.
IT solutions have high potential in contributing to CO 2
emissions reduction in various sectors, including theindustrial, commercial, residential, transport and energy
conversion sectors.

Image of energy saving throughout
the entire society by IT solutions

Commercial

BEMS

Video conferencing

Residential
HEMS
Electronic distribution of music and software

Transport

ITS

FEMS
Improving efficiency of
production processes

Industrial

Eco driving
Renewable energy grid stabilization

EnergySource: JEITA data based on data of the Green IT Promotion Council*3 HEMS: Home Energy Management System
BEMS: Building Energy Management System
FEMS: Factory Energy Management System3

3

Sectoral

CO2 Emissions Reduction Potential by IT Solutions

IT solutions will contribute to CO 2 emissions reduction
directly and indirectly by bringing a substantial change inwork style, lifestyle, manufacturing and resource utilizationin various fields in society, and by incorporation of IT
technologies into various equipment.
Regarding the emissions reduction effect by IT solutions, a
new trial estimate*4 based on the forecast of the amount ofcontribution estimated by the Green IT Promotion Council
in the past gives an overall reduction potential in Japan of
about 0.16 to 0.22 Gt-CO2 per year in 2030. The breakdownof the reduction potential is as follows: about 0.017 to 0.022
Gt-CO2 per year in the industrial sector, about 0.021 to 0.029

Gt-CO2 per year in the commercial sector, about 0.038 to
0.051 Gt-CO2 per year in the residential sector, about 0.086
to 0.12 Gt-CO2 per year in the transport sector, and about
0.0020 to 0.0027 Gt-CO2 per year in the energy conversion
sector.
The estimated emissions reduction potential in the world
as a whole is about 3.7 to 7.9 Gt-CO2 per year in 2030. The
breakdown of the estimated emissions reduction potential
for Japanese IT vendors*5 is about 0.29 to 0.63 Gt-CO2 peryear.
IT solutions will contribute to prevention of global warming ina wide range of fields.

Japan’s CO2 emissions reduction potential in 2030 by IT solutions*6
Gt-CO20.086〜0.12

0.12

Japan
0.10

Black letters: Minimum
Red letters: Maximum

0.16 to 0.22 Gt-CO2

Examples of IT solutions contributing to the reduction
Category

Industrial

0.08

FEMS

Production
process

Improving the efficiency of lighting, air conditioning, motors,
generators, production processes

Building

BEMS

Indoors

Electronic tag/physical distribution
system, paperless office, introduction of IT into business,telework, video conferencing,telemedicine/electronic healthrecords, electronic bidding/electronic applications

Building

HEMS

Indoors

Electronic money, electronic
publishing/electronic application,
electronic distribution of music
and software, on-line shopping

Commercial

0.06

0.038〜0.051

IT Solutions

Factory

0.04

0.021〜0.029
0.017〜0.022

0.02

Residential

0.0020〜0.0027
0Industrial
SectorCommercial
SectorResidential
SectorTransport
SectorEnergyConversion
SectorInfrastructure Adoption of LED traffic light
Transport
Activity

World’s CO2 emissions reduction potential in 2030 by IT solutions*7
Gt-CO2

2.8〜6.0

6.0

5.0

GlobalBlack letters: Minimum
Red letters: Maximum

3.7 to 7.9 Gt-CO2

The breakdown forJapanese IT vendors

0.29 to 0.63 Gt-CO2

2.0

1.0

0

4

0.25〜0.53

Industrial
Sector

0.22〜0.46
Commercial
Sector

0.35〜0.76
0.074〜0.15
Residential
SectorGrid stabilization

Source: Data prepared jointly by the FUJITSU RESEARCH INSTITUTE andJEITA based on the “Survey and Estimation Committee Summary Report(FY2008-FY2012),” Green IT Promotion Council

4.0

3.0

EnergyRenewable
conversion energy

ITS, improvement of automobile
fuel efficiency, improvement of
the efficiency of transport means,
eco driving

Transport
SectorEnergyConversion
Sector

*4 FUJITSU RESEARCH INSTITUTE and JEITA jointly estimated the effect. By
assuming the year 2005 as the base year (estimation of emissions reduction
effect of target IT solutions after the years 2005), the amount of reduction fromBAU in the year 2030 was calculated.
The reduction potential in each sector of industrial, commercial, residential
and transport was calculated based on the forecast of the amount of Green IT
contribution in 2020 given in the Survey and Estimation Committee Summary
Report (FY2008-FY2012).
The reduction potential in the energy conversion sector was calculated bymultiplying the emission factor and the IT contribution ratio from the difference
between the target of introducing renewable energy in the year 2030 (Plan for
Global Warming Countermeasures in Japan, and EIA data for the entire world)
and the actual results in the year 2005.
*5 The share of Japanese IT vendors was assumed to be 8% based on the “Outlookof global production in the electronics and information industry (December2015)” of JEITA.
*6 The minimum and maximum reduction potential in Japan were calculated byassuming that the minimum and maximum CO2 emission factors of electric
power grid are 0.3 kg-CO2/kWh and 0.4 kg-CO2/kWh, respectively, with themedian of 0.37 kg-CO2/kWh, which is given as the target for the year 2030
in the “Electric Power Industry’s Commitment to a Low-Carbon Society (July
2015)” of the Electric Power Council for a Low Carbon Society (ELCS).
*7 The minimum and maximum reduction potential in the world were calculated
by assuming that the minimum and maximum CO2 emission factors of electric
power grid are 0.275 kg-CO2/kWh and 0.55 kg-CO2/kWh, respectively, withthe median of 0.538 kg-CO2/kWh, which is the world average of over all typesof power generation (the actual value in the year 2013 is from the IEA CO 2
emissions from fuel combustion).

4

Smart Community

CO2 Emissions Reduction Potential by IT Solutions

A smart community is a next-generation social system,
in which energy is effectively used by linking households,
buildings and transportation systems through IT networks.
In a smart community, it is indispensable to utilize IT
solutions consisting of energy management systems such
as HEMS, BEMS and FEMS for optimum operation of smart
meters, renewable energy and EV*8, CEMS*9 for integrated
management of the above EMSs and transportation systems
such as ITS.

Smart community CO2 emissions reduction potential in theyear 2030 by IT solutions*10 is estimated to be about 0.02 to
0.11 Gt-CO2 per year in Japan, and about 0.12 to 0.71 GtCO2 per year in five other countries (USA, China, England,Brazil, and India).* 11 The breakdown of the estimatedemissions reduction potential for Japanese IT vendors*12 isabout 0.010 to 0.057 Gt-CO2 per year.

Image of smart community
A CEMS controls energy usage ofmultiple households, buildings, and thecommunity in an integrated manner.

Major components of smart community
in this survey

A BEMS controls energy usage in thebuilding in an integrated manner.

Small hydroelectric
power generation

Off-shorewind power
generation

Smart building

Control center

Management
system in the
supply side

CEMS
TramcarMega solar
power plant

ITS (intelligent transportation system)

Optimization of transportation system, suchas alleviation of traffic
jams by an on-demandsystemQuick charge station (electric bus)
Community airconditioning facility

Management
system in the
demand side

Electric bus

Electric vehicle
Smart house

Quick charge station (electric vehicle)

Optimization of household energy
demand and supply by HEMS

HEMS

Source: Data translated
by JEITA based on thesmart community imageof Ministry of Economy,
Trade and Industry(translated by JEITA)

Utilization of next-generation automobiles
and buses as electric power infrastructure

Solar power
generation

Next-generation
automobiles andstorage batteries

Smart community CO2 emissions reduction potential in 2030 by IT Solutions
0.50■Black letters: Minimum,■Red letters: Maximum

0.15

0.15

Japan

Total
for fivecountries

0.02 to0.11 Gt-CO2

0.12 to0.71 Gt-CO2

0.11
0.10

0.089

The breakdown of
the reduction forJapanese IT vendors

0.010 to0.057 Gt-CO2
0.05

0.042

0.020

0.017
0.0074

0

Japan

USA

China

England0.010
0.00140.00120.00029
BrazilIndia

Grid and power
distribution
DMS (Distribution
management
Management System)(grid management
and control)
Integrated
management

CEMS

Facility
management

HEMS, BEMS, FEMSTransportation
management

ITS (and other systems,
which utilize transportation information),
V2H/V2G technology

Telecommunications

Smart meter

EnergyRenewable energy,
thermal energy

Transportation

EV

Source: Data prepared jointly by the FUJITSU RESEARCH INSTITUTE
and JEITA based on case examples of smart community-related
projects and the conception of the government and organizations

At the time of power
shortage: From electricvehicle to household
At the time of surplus
power: From householdto electric vehicle

Fuel cell

Gt-CO2Major IT Solutions,
Devices, etc.

Classification

BEMS*8 EV: Electric vehicle*9 CEMS: Community Energy Management System*10 F U J I T S U R E S E A R C H I N S T I T U T E a n d J E I T A j o i n t l yestimated the effect. By assuming the year 2013 as thebase year (estimation of emissions reduction effect ofsmart communities after the year 2013), the amount of
reduction from BAU in the year 2030 was calculated. With
the assumption that smart communities would reduce CO2
emissions from urban areas, the following formula was used
to estimate the reduction potential for the fields of “energy,”“transportation,” and “telecommunications:”
Reduction potential = (Urban population in the target
country) × (CO2 emission per capita) × (CO2 reduction rateby smart community) × (coverage rate of smart community)× (IT contribution ratio)
CO2 reduction rate was set by referring to representative
smart community examples (four typical domestic verification
projects) in which CO 2 emissions reduction effect wasverified.
Coverage rate of smart community was set by considering
the coverage rate of key solutions.
IT contribution ratio was set by considering the cost
percentage relevant to IT solutions. In addition, the maximum
and minimum reduction potentials were estimated for thecase in which both the coverage rate of smart community
and the IT contribution ratio are maximum, and for the casein which both the coverage rate of smart community and the
IT contribution ratio are minimum, respectively.
Reference: Four typical domestic verification projects(1) Yokohama Smart City Project (YSCP)(2) Toyota City Low-Carbon Project (Smart Melit)(3) Keihanna Eco City Next-generation Energy andSocial Systems Demonstration Project(4) Kitakyushu Smart Community Creation Project*11 Target countries are selected from those countries thatcurrently promote smart community projects. In addition,
regarding India, this estimate of reduction potential is small,but the development of smart cities is actually declared as apolicy of the Indian government and relevant projects havealready started. Therefore, it is thought that a larger reduction
potential can be expected in India.
*12 The share of Japanese IT vendors was assumed to be 8%
based on the “Outlook of global production in the electronics
and information industry (December 2015)” of JEITA.

55 in Agricultural and Livestock Industries
GHG Emissions Reduction Potential

Agricultural and livestock industries emit GHG of as muchas about 12 Gt-CO2 in the entire world.*13 In these industries,
while the reinforcement of production volume is needed
because of future population growth, impact to global
warming is worried about and realization of sustainableagricultural and livestock industries is required.
Recently in these industries under such circumstances,efforts are under way aiming for energy saving, improvementof work efficiency and optimum fertilization through theutilization of IT solutions such as autonomous runningtractors and production management systems.
A published report*14 gives an estimate of about 2 Gt-CO2

by IT Solutions

as the GHG emissions reduction potential in the agriculturaland livestock industries in the year 2030 by IT solutions. A
trial estimate*15 of the reduction potential with reference tothe report gives about 0.74 Gt-CO2 per year in developed
countries and about 1.26 Gt-CO2 per year in developing
countries.
In addition, the breakdown of the estimated world’s
emissions reduction potential for Japanese IT vendors*16
is about 0.059 Gt-CO2 per year in developed countries andabout 0.101 Gt-CO2 per year in developing countries.

Image of utilization of IT solutions

Examples of IT solutions in the agricultural and livestock industries
Means of Reduction

Source: JEITA data

World’s GHG emissions reduction potential in the agriculture, forestry, and livestock industries in 2030 by to IT solutions■ Livestock■ Crops

Gt-CO2
1.5

Global

1.26
0.43

0.74
0.35

0.83

0.5

The breakdown of the reduction
for Japanese IT vendors

0.39

0.16 Gt-CO20Developed countries: 0.059 Gt-CO2
Developing countries: 0.101 Gt-CO2

Developed countries(including Russia)

Reductionof energy consumption

Autonomous running tractor,
unmanned helicopter/drone,
assist suit

Effective useof chemical fertilizer
Effective useof organic fertilizer

Real-time soil sensor, remotesensing/geographic information
system (GIS)

Improvementof fermentationin the digestive tract

Individual identification tag, herd
management system

Improvement of efficiencyof rice farming

Water level sensor

Reduction of food wastes

Growth and harvest forecast,fruits and vegetable automatic
sorting machine, production
management system

Source: Data prepared jointly by the FUJITSU RESEARCH INSTITUTE andJEITA based on GeSI “SMARTer 2030”

2 Gt-CO2
Developed countries: 0.74 Gt-CO2
Developing countries: 1.26 Gt-CO2

1.0

Major Solutions

Developing countries(including Brazil, India,
and China)*13 Estimated jointly by FUJITSU RESEARCH INSTITUTE and JEITA based on IPCC
“Fifth Assessment Report” and “Climate Change 2014: Mitigation of Climate
Change”*14 The report, “SMARTer 2030,” published by the Global e-Sustainability Initiative(GeSI)*15 Estimated jointly by FUJITSU RESEARCH INSTITUTE and JEITA, with reference
to GeSI “SMARTer 2030,” by taking into account GDP, gross agricultural
production, Internet diffusion rate, etc. of each country, under the classificationof countries in which developing countries total 54 (including Russia among
BRICs), which are classified as developed countries in the forecast of the Foodand Agriculture Organization of the United Nations (FAO), and developing
countries total 94, including countries which are classified as developing
countries in the FAO forecast, (including Brazil, India, and China among BRICs),and other countries and regions which are not classified as either. By assuming
the year 2013 as the base year (estimation of emissions reduction of the
agricultural and livestock industries after the year 2013), the amount of reduction
from BAU in the year 2030 was calculated.
*16 The share of Japanese IT vendors was assumed to be 8% based on the “Outlookof global production in the electronics and information industry (December2015)” of JEITA.

Note the following(1) Regarding the contents of “Section 3: Sectoral CO2 Emissions Reduction Potential by IT Solutions”, “Section 4: Smart Community CO2 Emissions
Reduction Potential by IT Solutions” and “Section 5:GHG Emissions Reduction Potential in Agricultural and Livestock Industries by IT Solutions”, JEITA
commissioned FUJITSU RESEARCH INSTITUTE to survey the contents and estimated the relevant data.
(2) Please refer to “Report of survey on IT solutions contribution to global warming countermeasures – GHG emissions reduction potential towards 2030 –(JEITA)” for details of the survey.
(3) Note that these data are reduction potential estimated as of the year 2016 and do not guarantee the reduction of such amount of estimated potential,
because problems related to calculation indices and impacts of fluctuations in economic environment in the future and others are conceivable.

6