Embed Size (px)
Citation preview
1
Social Monitoring and Modelling Research for Interactive Solution Design
Jan. 2７-2８, 201６, AIT, Thailand
Prof. Tsuyoshi Fujita,Director of Social Environmental Systems Research Center,
NIES, JapanAlliance Professor of Nagoya University
(1) Integrative modelling research for low carbon societyMulti scale technology and policy simulation system
(2) Interactive monitoring and regional evaluation system research for Co design or integrative simulation
PREPARED byDr. Toshihiko Masui, Dr. Minoru Fujii Dr.Shuichi Ashina, Dr. Kei Gomi, Dr. Takuya Togawa
2
Decision Planning forDecision Planning forStakeholders
Integrative Model Application toward Low Carbon Society by NIES K.Gomi(2015)
Low carbon planning
Citizen participation
Local and Regional Low Carbon Plans
Scenario design Scenario design revision from Feed back from Stakeholder Meetings
AIM Model
Alternative technologies and policies from Local Characteristics
Future ScenariosLife IndustryIndustry Planning Energy
Energy Model
crftech r (1 r)dpryrtech
(1 r)dpryrtech 1
COSTfuel,tech (t) ucfueltech (t)FUELtech(t)
FUELtech(t) 1tech (t)
Osrv,tech (t,m, hr)m,hr
1Fdc,b (t,m, hr) Sb,tech(t,m, hr)denom
Population Model
pds
=( (1- ))
outin
pdspds
LNtotLHD AAWH DER
aggWRworkPoptotPOP _/__
pds
( )inin
pdspds
LNtotLHD AAWH DER
Transportation, ,
6, , 365 (1/ 10 )
ptm age hht age tdtd age hht
td ptm td ptm
PTD Pop Ptg
Pts Ptad
,
6, , (1 /10 )
ftm pss pss tdpss td
td ftm td ftm
FTD PD Ftg
Fts Ftad
Local Economy
X Ainv(I-(I-Mr)F+Ex)
1Ainv Imat 1 IMR Amat( )
_ _inin inoutIncome LNtot WagePP LNtot
WperL inout POP tot SSget
Policy OptionsMUL
et et etx IMP2 f f IMP1 f
(0.5), 1 1 , 1 1 1et et et et et et etimp1 f l b f
, 2, 1 2 1
(1) (0)1 , 2 2, 3 3, 1 2 1
30.5
MULet et et et et
MULet et et et et et et et et
et
imp2 f f
b l a l f f
Land UseModel
,lu lup lulup
Area LUCM
, ,_lup lu lup lulupLUCM Area prev LCC
,,
, lup,lulog minlup lu
lup lulup lu
LCCRLCC
RLCC
,,, / crp croplcrp croplcrp cropland crpHA DP CRPS YLD
Contribution to Climate Policy in Japan
▲8%
▲19%▲25%
▲15%
▲25%▲31%
▲17%
▲27%▲33%
▲20%
▲30%▲35%
1,26
1 1,35
1
1,25
6 1,42
7
1,15
6
1,02
5
952 1,
349
1,07
4
943
874 1,
324
1,04
6
917
849 1,29
4
1,01
3
886
820
0
200
400
600
800
1,000
1,200
1,400
1,600
0% 15% 20% 25%
90 05 10 2030
温室効
果ガス排
出量
（百万トン
CO
2)
GHG emissions in 2030, Low growth case
GH
G e
mis
sion
(MtC
O2)
Fixe
dLo
wM
iddl
eH
igh
Fixe
dLo
wM
iddl
eH
igh
Fixe
dLo
wM
iddl
eH
igh
Fixe
dLo
wM
iddl
eH
igh
Non EnergyEnergyTransportCommercialResidentialIndustry
mitigation optionsshare of nuclear
3
International Cooperation toward Low Carbon Society
China KoreaUSA
Japan
ThilandMalaysiaIndonesia
EU
Japan-UK Joint Project on LCS
UK
India
LCS-RNet: endorsed by
G8EMM
LCS study in Japan
Promote researches on
Asia LCS
2006, 2007, 2008
・Participation in international model
comparison on mitigation potential
LCS model building capacity workshop, Organized by TGO,
SIIT-TU, JGSEE, NIES, at Bangkok, 2010
The 18th AIM International
Workshop, 2012AIM Training Workshop at NIES, 2013
4
5
New Challenges for Modelling and Monitoring ResearchNew Challenges for Modelling and Monitoring ResearchResearch challenge to compile innovative modelling and monitoring approach
Long Term
Integrated Model for
Future VisionNormative Targets by
General Equilibrium
Model
Future Targets
0
200
400
600
800
1000
1200
1400
2 005 2010 2015 2020 2025 2030
CO2
emis
sion
s (M
tCO
2)
Agriculture, F orestry and FishingTransport, EnergyTransport, FreightTransport, PassengerCommercialResidentialOther ManufacturingConstructionMachineryNon-Ferrous MetalsOther Non-M etallic MineralsGlass ProductsOther Chemical ProductsTextiles, Wearing Apparel and LeatherFood Product, Beverage and TobaccoPaper, Pulp and PrintingPetrochemicalsCementIron and stealElectricity and Heat ProductionEnergy Conversion
Back Casting
環境
負荷 BaU
Integrative ApproachInteractive ApproachInnovative Approach
6
Low Carbon District Design Models
Spatial Policy/ Tech. Process Packages
Development of Regional Integrated Models (Regional AIM) and Spatial Planning Model to design sustainable regions and cities
Design of Vision and Road Map for National Scale
Low Carbon Industrial System
Local Heat/Energy Management
National End Use Model
*CGE model National Targets
Analysis for Province ScaleEndUse
Model
FukushimaCGE
ModelFukushima
TargetsLow Carbon Urban Design Model
Planning for Local ScaleKabupaten CotaKecamatan KelurahanSnap
Shot Models
Policy Support
Tools
Local Targets
Strategic Spatial Zoning System
Social Monitoring System & Project Data Buildings Industries Life Style
Regional Parame-
ters
*Computational General Equilibrium
Integrated Model (AIM)
FukushimaR. Maps
National Road Maps
Forestry Eco System Service Model
Waste
Tokyo Metropolitan
Region
Locally suitable env. •Locally suitable env. measures
•Compact land-use
• Urban &
env. policy options• U
rban & env. technology options
Land Use and Transport Model
Land Use and Transport Model
Resource Recycling Model
Resource Recycling Model
Building Stock Management Model
Computable General Equilibrium (CGE) model
Env. Technology Assessment Model
Local Energy Model
Local Energy Model
Heat IslandModel
Heat IslandModel
TransportBuilding
Heat env.
Energy supply & demandEconomic impact
Models
Scenarios(2020, 2030, 2050)
Effect of env. measuresEffect of env. measures• Convenient
transport• Economic impact
• Energy saving & LCS• 3R• Heat island mitigation
Future macro-fram
e(Population, industry, m
aterial production, etc.)
Environmental Measures Analysis in Tokyo Metropolitan Region
Local EnergySystem
7
Primary application case in Tokyo region, Japan
Socio-economics
Resource Energy
Infrastructure, technology, land use
Waste heat potential
Heat demand
2010 2020Waste generation
IS analysis
Outside: demandInner: supply potential
Analyze and Predict future resource,energy and waste condition.
Help to infrastructure analysis, planningand future technology projection.
An application case in Tokyo region (macro to spatial scale). Regional condition, resource and energy circulation, and future industrial and urban symbiosis are analyzed.
Population2010 2020 Facilities
Cost simulation
Supply-demand match
Cost effective region
IS design/implementation Heat
Resource
Low-carbon technologies
Analyze and plan future socio-economicchange, e.g. pop, GDP, industries.
8
Output of Local Energy ModelProjected energy demand by sector and by service
2050, total energy demand
2014 2050Residential Commercial Residential Commercial
Power 58.4 238.7 47.9 248.2 Cooling 95.2 698.3 78.2 726.2 Heating 90.2 311.9 74.0 324.4
Hot-water 255.2 10.1 209.5 10.5 Sub-total 499.0 1258.9 409.6 1309.3
Total 1758.0 1718.9
2014, Total energy demand
Total energy demand in Tokyo Metropolitan Region (PJ/year)
9
Kei GOMI, Shuichi ASHINA, Tsuyoshi FUJITA, Toshihiko MASUI （2015）: Development Of A Methodology For Regional Future Scenarios Considering Interaction Of Industry And Population And Application In So-ma Region In Fukushima Prefecture Journal of JSCE (Accepted) (In Japanese)
Time-horizon design for technology assessment models
3,000
4,000
5,000
6,000
7,000
8,000
9,000
10,000
2005
2010
2015
2020
2025
2030
2035
2040
2045
2050
Long-term target of the region[Demography, employment, town-making, low-carbon, etc]
Gap against BaU
Short term：Pioneering point development project
•Town-planning with local energy
•A show-case of low-carbon system
•Economic impact in several years
Middle term：Cluster development
•Industrial ecology by strategic locations
•Intensive local energy use with IT facilities
•Industrial development centered by local energy business creates employment (~ 3000)
•Compact clusters of residents, commerce and industries
•Convenient transport•Creating employment (~1000) and enhance settlement
With future targets of demography, economy, and environment in the region, the most suitable technology is chosen in short, mid, and long term. Structure of land use and related industries are describe as well.
10
Long-term：Urban-Industry-Agriculture
Complex
0
5
10
15
20
25
30
35
40
45
50
0
50
100
150
200
250
300
350
400
450
50019
95年
2000
年
2005
年
2010
年
2015
年
2020
年
2025
年
2030
年
2035
年
2040
年
2045
年
2050
年
CO2E
mis
sion
[kt-
CO2]
Ener
gy C
onsu
mpt
ion［
TJ］ 太陽熱
地域熱（発電所排熱）
地域熱（熱電併給）
地産電力（熱電併給）
地産電力（太陽光）
系統電力
バイオマス
都市ガス
LPガス
石油
石炭
CO2
Solar HeatDistrict HeatingCogenerationRegional PowerSolar PowerPower LinkBiomassTown GasGas Cylinder(LP)PetroleumCoalCO2
Macro Scope Technology Assessment for Local Government
Assessment for Suitable Technology Assessment for the Low Carbon Future (80% Reduction in 2050 from 1990) in Shinchi Town of Fukushima
11
Future Scenario Simulation for Fukushima Shinchi Township ; BAU Recovery Scenario
LNG Gas Pipeline
Urban areaIndustrial area0 1 20.5
km
12
Future Scenario Simulation for Fukushima Shinchi Township ; Green Growth Scenario
Electricity
Heat DistributionCooling PipelineLNG Gas pipeline
Residential AreaIndustrial AreaAgricultural Area
0 1 20.5
km
13
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
Estimation of Alternative Future Recovery Scenarios
Urban
Industry野菜工場
[Mt-
CO2/
年]
50%減
Quantification of Impacts and Costs
Effects of Local Energy M
anagement
Alternative Spatial Scenario
14
Estimation of CO2 Emission
Urban Agri-cuilt.
+Green Growth
BAU
+Compact City
Green growth can double the Carbon Efficiency
Industry
【Innovativeness】①Local Energy System to Utilize LNG Plant②Mixed use planning to Realize Optimal Demand Mix、③Demand Management by ICT or IOT）【JAPEX, Keiyo Gas Plant,NEC】
Vege Plants 3-10ha
温浴施設
Smart City Frontier Project for Fukushima Recovery→Subsidization by METI and MOEJ
15
Houses Houses
LNG Plant
Retail Shops
Apartments
熱導管情報通信電気
CO2供給
スマートメーター
CO2
サイネージ
サイネージ
City Hall
サイネージ
ＤＲイベント参加状況の確認
デマンドレスポンス信号
BEMS※装置
Local Energy Center
発電機蓄熱装置
CEMS ※
※ BEMS/CEMS：Building / Community Energy Management System
タブレットやPCから電力や熱の使用量をチェック、需要の制御
③Project Design
②Spatial-scopeLand use zoning /network design
・ land use distribution patterns
・ local energy network・location of core
developments
①Macro-scope・ population,
industries
・ core developments
・ energy locality
Alternative future vision
▪ zoning and regulation
▪ district planning
▪ key industries
Core projects for revitalization
試算の結果例 (域内総生産)
なりゆきシナリオ
LNG立地シナリオ
産業振興シナリオ
環境産業共生シナリオ
Feasibility Study
Future frame
16
2. Future technology and policy system analysis for eco-cities
17
Down Scaling of the Social Model
as an Innovative Approach 1
18
Social Monitoring and Modelling
as an Innovative Approach 2
19
Innovative Modelling and Monitoring Research ProjectInnovative Modelling and Monitoring Research Project
Long TermShort Term
Integrated Model for
Future VisionNormative Targets by
General Equilibrium
Model
Technology and policy Solution
Design Adapting to Local
CharacteristicsFuture Targets
Low Carbon Solutions on
Local Contents
0
200
400
600
800
1000
1200
1400
2 005 2010 2015 2020 2025 2030
CO2
emis
sion
s (M
tCO
2)
Agriculture, F orestry and FishingTransport, EnergyTransport, FreightTransport, PassengerCommercialResidentialOther ManufacturingConstructionMachineryNon-Ferrous MetalsOther Non-M etallic MineralsGlass ProductsOther Chemical ProductsTextiles, Wearing Apparel and LeatherFood Product, Beverage and TobaccoPaper, Pulp and PrintingPetrochemicalsCementIron and stealElectricity and Heat ProductionEnergy Conversion
Back Casting
Envi
ronm
enta
l loa
d
BaU
・・・
Present
Eco-society Monitoring
System
20
Smart Eco-Monitoring System for Low carbon Society 2014-Innovation
methaneincineration
CenterSmart Recycle Center
発電・熱量
Energy demand information
High value
substitutive
Operation information
Energy and consumption demand control system
for urban sectors
Demand
Smart industrial complex supported by synergetic
information network among industries
Urban and Regional symbiosis
Urban Waste
Waste and material
Energy
complexSmart industrial
complexLocal
symbiosis
Smart community
Local energy supply and demand
Smart ICT network will promote and complement the synergetic network functions among stakeholders
Information support for optimizing local and regional material and energy
circularization
Power plant
Steel
Cement
Chemical
気象情報発電量予測
By-product information
Energy demand response
Renewabl
energy
Renewable
energy
Local Data Local Data Collection
Center
2015
Sector Number of facilities
Monitoring Start
Office Building
2 2015/03
Households 4 201503
CommercialArea
2 (café/ hotel) 201503 21
2016
Social Monitoring Research in Bogor City
Sector Number of facilities
Number of point
Governmentbuilding
3 30
Household 3 10
Shopping Mall 1 10
Time series analysis in Office Building case
Lebaran
Ele
ctri
city
[kw
]Tr
end [
kw]
Sea
sonal
[kw
] Res
idual
[kw
]
No Seasonal variation of electricity
consumption
Electricity consumption is increasing on business
day
ServerElectricity
consumption
30% Reduction potential
Mar Apr May Jun Jul Aug Sep Oct Nov
Monitor data every one hour from March to November :kw unit
Baseline
The reduction potential of about 30% can be expected by turning off Air conditioner by the temperature and humidity. 22
Monday
Results: (1)The pattern for weekdays from Mar. to Oct. showed similar trend. 23
Electrical consumption patterns for office＊消費量一定のサーバー・サーバー室エアコンを除外して表示
Tuesday Wednesday Thursday Friday
Framework for Social Monitoring System
Installation and MonitoringEnergy Data
Collecting Energy and Social Data
Analysis of Collected Data
Promoting Low Carbon Activities/Behavior
Field Survey
Energy Meters
Visualization
Data access approach
1 2 3 4 5
1. Visualization of electricity consumption.2. Supporting demand side management of urban energy consumption
for promoting a low carbon society.
Selecting Measuring Points
Research on Monitoring Sites
Survey Production Lines
Installation
Integrative Analysis of Multi-Sectoral Data
Human Activity
Dashboard
Workshop
24
Visualize traffic congestion and travel time databy using several smart phones as GPS sensor on vehicle.
Goal: Eco-friendly and More Comfortable City
25Traffic monitoring plan
Phase1
Phase2 : Calculate traffic volume Phase3 : Suggest Environ impact in traffic congestion
Visualize traffic congestion
With CCTV With environment sensor
Data OrientedInnovation Center
Smartphone(Android)
・Public Bus (TransPakuan)■Schedule (Tentative)1.Preparation (～Feb,2015)2.App. Installation 3.Monitoring (Mid. of Mar)4.1st Report (End of Mar)
App.
Smartphone App.
GPS sensor
The target: 20 vehicles
＜Target Vehicle＞＜Sensing＞ ＜Collection and output ＞ ＜View＞
・Positioning info.・Time and speed※to be arranged
Traffic datawith GHG info.
25
Preliminary Scenario Simulation in Indonesian City for 2025 by Dr.K.Gomi
26
New scenarios were developed according to “Model Low Emission City” initiatives of Bogor City by IPB and NIES in this August.Emission reduction by the initiatives is projected with some assumptions.
0
1000
2000
3000
4000
5000
6000
2013 2025BaU
2025CM
GHG
em
issio
ns (k
tCO
2eq)
Land use change Waste managementEnergy - Transport Energy - IndustryEnergy - Commercial Energy - Residential
Projected GHG emissionsContribution to emission reduction
Conversion of Fuel Oil to Gas for Public Transportation: 21ktCO2eq
Bus Rapid Transportation System,Pedestrian Facilities, andBicycle Track: 398ktCO2eq
City Of Park: 57ktCO2eq
LED for Street Lamp,Green Building Concept, andEco-campus: 343ktCO2eqRenewable energy: 250ktCO2eq
Waste collection and recycling: 47ktCO2eq
Industry energy efficiency improvement: 47ktCO2eq
From “Model Low Emission City”
-21%
26
5
0
1000
2000
3000
4000
5000
6000
2013 2025BaU
2025CM
GHG
em
issi
ons (
ktCO
2eq)
Land use change Waste managementEnergy - Transport Energy - IndustryEnergy - Commercial Energy - Residential
Projected GHG emissionsContribution to emission reduction
C onversion of Fuel O il to G as for Public Transportation: 21ktC O 2eq
Bus R apid Transportation System ,Pedestrian Facilities, and
Bicycle Track: 398ktC O 2eq
C ity O f P ark: 57ktC O 2eq
LED for Street Lam p,G reen B uilding C oncept, andEco-cam pus: 343ktC O 2eq
R enewable energy: 250ktCO 2eq
W aste collection and recycling:
47ktC O 2eq
Industry energy efficiency im provem ent: 47ktC O 2eq
From “Model Low Emission City”
-21%
Localized Data and Scenario Modeling• Conventionally, local scenarios are developed with limited statistical data and “default”
parameters from national or international information.
• Our approach combines monitoring of local activity and modeling so that we can propose the most suitable mitigation scenario and Action plans for the city/region.
Mitigation potential
in 2030
Roadmap andinvestment
towards 2030
Actions to introduce the
measures in 2030
The model to project future scenarios: ExSS/AFOLUA
PopulationIndustry
Transport
Agriculture
Waste
Energy Demand
Energy Supply
Land use and Forestry
GHG emissions
Energy technologies
Statistical information Current environmental initiative
Locally suitable mitigation scenarios
Energy Monitoring
Transport Monitoring
• Transport structure• Vehicle speed• Fuel efficiency etc.
• Current and future energy consumption pattern
• Energy savingpotential
27
Research Targets(1) Strategic future technology assessment system for local technology combining low carbon and environmental technology
(4)Biomass resource
management
(1)Strategic Land Use Planning
(2) Low-carbon Production
System
(3)Local and Regional energy
system
Demand control
Regional PowerGeneration
Integrated Evaluation Model for Technology Alternativesfor the Future Target of the City and Region
Integrated Evaluation Model for Technology Alternativesfor the Future Target of the City and Region
28
Heat Distribution System
Forestry Lumber Transportation System
Cascade Production and Consumption System of Lumber
Low Carbon Eco-industrial System
Urban Industrial Symbiosis System
Land Use Zoning for Future Compact City
Mixed Land Use among Sectors
Research Target 2; Interactive Eco-policy Planning System in Asia Fukushima Shinchi
Township National Institute for Env. Studies
Simulation for recovery roadmap
復興まちづくりのシミュレーショ
ン
Simulation for recovery roadmap
復興まちづくりのシミュレーショ
ン
Planning for Sustainable Future
29
Energy Assist
Community Information Assist
Life Assist
Community Assist Tablet Network
LocalNeedsLocalNeeds
RegionalEnvironmentInformation
RegionalEnvironmentInformation
Urban SpatialAnalysis
Local environment
diagnosis
Integrated Modelling
Future scenarioassessment
Tech. and policy inventory
-low carbon tech-circulation tech-industrial symbiosis-policy / regulation-land use control
30
Energy Monitoring - Monitoring and Management System by ICT
Transportation Monitoring- GIS and Sensing TechnologySolid Waste Monitoring- Emission Pattern analysis and Simulation
MoEFFOERDIA
Urban System
・Strengthening of collaborationof binational government-academia-industry
・Activation of Low Carbon program and promotion for reaching CO2-reduction goal
・Promotion of Eco-technology transfer・Spread Japanese low carbon technologies
and products
Contribution to Indonesia
Collaboration of Binational Government-academia-industry for Low Carbon Indonesia and Japan Consortium
Contribution to JapanGov’t
Ind. Acad.
IPBLocalCompany（TBA)
Tokyo univ.
Gov’t
Ind. Acad.
・Realization of low carbon society・Urban design based on solid science and tech ・Maximize forest value by cross-sectoral
research and activity・Effective introduction of Japanese know-how
and effect measurement・Improvement of env. research through
collaboration
MoENIES
International Eco-innovation Center
Forestry Monitoring- Seasonal Fire Early Warring- Remote and On-site Monitoring
Air Pollution Monitoring- Monitoring and DiffusionSimulation
Adaptation Forecasting- Water Quality Monitoring and Hydrological simulation
Functions of center1) Environment Monitoring2) Social Monitoring3) Innovative Solution
Energy- Innovative monitoring- High efficiency equipment
Transport- HV/PHV/EV- Optimization
Urban Planning
- Design- Strategic planning
Forest- Remote sensing- Forest land use planning
Solid Waste-Waste to Energy- Reduction at source
Innovative technologies and Policies
Environment Monitoring Social MonitoringSocial MonitoringScope 1 Scope 2
Fujitsu
Living and Natural Environment
Simulation
Designing
Monitoring
Scope 3
Urban SolutionEcological Solution
Research proposal for Innovative Eco-Society Establish Indonesian Eco-Society through Monitoring, Simulation and Innovation
Interactive Solution
31
To Convert Aspirations to Actions
Innovative Modelling and Monitoring Research ProjectInnovative Modelling and Monitoring Research Project
Dual Direction Low Carbon Monitoring Information System
Long TermShort Term
Integrated Model for
Future VisionNormative Targets by
General Equilibrium
Model
Technology and policy Solution
Design Adapting to Local
CharacteristicsFuture Targets
Low Carbon Solutions on
Local Contents
0
200
400
600
800
1000
1200
1400
2 005 2010 2015 2020 2025 2030
CO2
emis
sion
s (M
tCO
2)
Agriculture, F orestry and FishingTransport, EnergyTransport, FreightTransport, PassengerCommercialResidentialOther ManufacturingConstructionMachineryNon-Ferrous MetalsOther Non-M etallic MineralsGlass ProductsOther Chemical ProductsTextiles, Wearing Apparel and LeatherFood Product, Beverage and TobaccoPaper, Pulp and PrintingPetrochemicalsCementIron and stealElectricity and Heat ProductionEnergy Conversion
Back Casting
Envi
ronm
enta
l loa
d
BaU
・・・
Present
Low Carbon Monitoring System
Leapfrogging Policy Planning
Integrative Project Design
Action oriented Capacity Building
KnowledgePlatform
for
32
List of related publications
Huijuan Dong, Tsuyoshi Fujita, Yong Geng, Liang Dong, Satoshi Ohnishi, Lu Sun, Yi Dou, Minoru Fujii (2016) A review on eco-city evaluation methods and highlights for integration. Ecological Indicators, 60, 1184-1191
Yong Geng, Tsuyoshi Fujita, Hung-suck Park, Anthony S.F. Chiu, Donald Huisingh (2015) Recent progress on innovative eco-industrial development. Journal of Cleaner Production, Available online 25 September 2015, doi:10.1016/j.jclepro.2015.09.051
Takuya Togawa, Tsuyoshi Fujita, Liang Dong, Satoshi Ohnishi, Minoru Fujii (2015) Integrating GIS databases and ICT applications for the design of energy circulation systems. Journal of Cleaner Production, Available online 11 July 2015, doi:10.1016/j.jclepro.2015.07.020
Yujiro Hirano, Tsuyoshi Fujita (2015) Simulating the CO2 reduction caused by decreasing the air conditioning load in an urban area. Energy and Buildings, Available online 23 June 2015, doi:10.1016/j.enbuild.2015.06.033
Minoru Fujii, Tsuyoshi Fujita, Liang Dong, Chengpeng Lu, Yong Geng, Shishir Kumar Behera, Hung-Suck Park, Anthony Shun Fung Chiu (2015) Possibility of developing low-carbon industries through urban symbiosis in Asian cities. Journal of Cleaner Production, Available online 17 April 2015, doi:10.1016/j.jclepro.2015.04.027
Takuya Togawa, Tsuyoshi Fujita, Liang Dong, Minoru Fujii, Makoto Ooba (2014) Feasibility assessment of the use of power plant-sourced waste heat for plant factory heating considering spatial configuration. Journal of Cleaner Production, 81, 60-69
Xudong Chen, Tsuyoshi Fujita, Yoshitsugu Hayashi, Hirokazu Kato, Yong Geng (2014) Determining optimal resource recycling boundary at regional level: A case study on Tokyo Metropolitan Area in Japan. European Journal of Operational Research, 233(2), 337-348
Momoe Kanada, Tsuyoshi Fujita, Minoru Fujii, Satoshi Ohnishi (2013) The long-term impacts of air pollution control policy: Historical links between municipal actions and industrial energy efficiency in Kawasaki City Japan. Journal of Cleaner Production, 58, 92-101
Yujiro Hirano, Tsuyoshi Fujita (2012) Evaluation of the impact of the urban heat island on residential and commercial energy consumption in Tokyo. Energy, 37(1), 371-383
Thank you for your Attention
