Prof. FUJITA, Tsuyoshi Director of Social Environmental Systems Center,
National Institute for Environmental Science, JapanSpecially Appointed Prof. of Tokyo Inst. of Tech.
Materials by Dr. K.Gomi, Dr. M.Fujii
Prof. FUJITA, Tsuyoshi Director of Social Environmental Systems Center,
National Institute for Environmental Science, JapanSpecially Appointed Prof. of Tokyo Inst. of Tech.
Materials by Dr. K.Gomi, Dr. M.Fujii
15th Kawasaki Eco-Business ForumFebruary 7th, 2019
Eco-town, Circular Economy and Green City Innovation
Eco-town, Circular Economy and Green City Innovation
Three Keys for Sustainable Eco-Industrial Conversion from
Experiences in Japan
• Regulation and technology development for pollution control
• Transformation toward Eco-industrial park for Material and Energy network
• Green supply chain management2
3
Industrial Symbiosis and Urban Industries to empower cities by circularization
Bio/life scienceBio/life science Power generation & material industry recycling facility
Treatment or recycling facility City
Kawasaki Synergy Network(current situation)
4
Geng, Fujita et.al. J. of Cleaner
Production, 2010
Edited by Prof. Fujita, T.,Published by METI,,2006
Forming the basis of capacity that totally 2.18 mil t of wastes were treated
Distribution of Japanese Eco-towns 5
METI & MOE approved Eco-Town Plans for 26 areas as of the end of January 2006, and they provided financial support to 62 facilities
located within the appropriate areas.
Eco-town area as demonstration project for Sound material cycle society
Distribution of Total Investment Subsidy projects in 24 Eco-Towns 600mil. US$
Distribution of Total Investment60 projects in 24 Eco-Towns 1.6 bil. US$
Berkel and Fujita et. al., Environment, Science and Technology, 2010
Evaluation of 90 Circular Facilities in 26 Eco-towns
6
Reduction of Virgin Materials; 900,000.ton /yrCO2 Emission Reduction 480,000 t-CO2/yr
Circular use ration of by-product 92% Intra-eco-town circulation ratio 61%
CRs procured from within the same Eco Town Plan regions
(830) 64%
CRs procured from outside the Eco Town Plan region but within the prefecture
CRs procured from outside the prefecture
Procurement areas unknown
CRs procured(1,300) 100%
CRs utilized(1,200) 92%
Recycling residue disposed of
(470) 36%
Supply areas unknown
(Unit: 1,000 tons)
CRs used as energy, or reduced in volume
Resources circulated within the Eco Town Plan regions
(580) 45%
Resources circulated outside the Eco Town Plan regions but within the prefecture
FPs/RMsproduced(780) 60%
Outside the Eco Town Plan regionsbut within the prefecture
Outside the prefecture
Eco Town Plan regions
Recycling residue disposed of (60) 5%
Resources circulated outside the prefecture
(70) 5%
(130) 10%
(310) 24%(40) 3%
(70) 5%
(110)9%
(6) 0%
Ohnishi and Fujita et. al., J. of Cleaner Production,
2012
Environmental technology inventory and tentative application for cities
Numerical Formulation of circular technologies and preparatory estimationInventory of circular technologies
Urban energy management technologies
Biomass circulation tech.
Circular water treatment tech.
Methane fermentation technology
Septic tank technology
Sewage disposal technology
Bioethanol processing technology
Plant purification
Cement field fuel makingWaste plastic blast furnace reduction
Waste plastic Concri type frame raw material making
Waste plastic ammonia raw material making
Used paper manufacture raw material making
Industrial symbiosis production technologies
Water retentively pavement
Permeable pavementTown district energy control technologyUnderground water pumping ceramic
Gasification melting furnace
Rainwater storage technology
Gasification melting furnace
power
Slaked lime
Methanol
Kitchen waste
Methane
fermentation
0
192,118
0
50,000
100,000
150,000
200,000
250,000
遼寧省(現状) 遼寧省(メタン発酵導入)
t-CO2CO2 can be reduced
192 kt per year by methane fermentation facility introduction
合併浄化槽技術
Purification
processing
Processing
water
polluted water
32
28
0
5
10
15
20
25
30
35
下水道 浄化槽
The exhaust of CO2 for each unit pollution load removal of the septic tank technology is less in the Liaoning ministry.
t-CO2/t-BOD
Cement production technology
Usual
Poltorantosement
coal
Waste plastic
Production
process
clay
0.90
0.660.57
0.00
0.25
0.50
0.75
1.00
従来型 循環型 都市・産業共生
In the cement one-ton manufacturing, the CO2 reduction room for 0.33 tons or less.
t-CO2/t
Dirt and soot
Ecological consulting company*
Recycle goodsretail & sale*
Ecological equipmentmanufacturing
Sustainable technologyresearch company*
EIP Center; Demonstrationbuilding*
・Environmental data bank・Collaborative marketing purchase・Waste collection and recycling-Eco-material, Recycled Material-Design for environment
Green Institute(Minneapolis)
Cape Charles SustainableTechnology Park(Virginia)
Variation of Eco-Industrial Parks(EIP) Strategies in Eco-townsURBAN REDEVELOPMENT TYPE EIP
Environment conscious
commuting systemLRT, Pedestrian
Path Environmentalcommunication*
Environmentaleducation*
PRODUCT REMANUFACTURING TYPE EIP
Farm
Cement factory
Petro chemicalfactory
Chemical factory
Industrial symbiosis type
Kawasaki, Minamata
Fly ash
Heat
Oil
Heat
Heat
Fertilizer
Power plant*
Plasticrecycle center*
Organic waste Methane
fermentationComposting
Building materialrecycle center*
Collaboration reverse logistics
District heat supply
BrownfieldNeighborhood
Urban Area
Rural Area
Industrial complex
Water Front
Heat
INDUSTRIAL SYMBIOSIS TYPE EIP
Clean Energy Supply SystemEnergy Storage System*
Environmental InformationBusiness Support
CCR
Residential Districts
CITY-FARM COLLABORATION TYPE EIP
Fuel Cell Methane Fermentation
Compost
Akita, Osaka
Hokkaido
Kitakyushu
Chen and Fujita et. al., Euro. J. of Operation Research,
2013
Overseas local governments
Japanese firms, research
consortiums
Overseas firms, research
consortiums
Overseas governmental organizations
Eco-town governments
Japanese governmental organizations
Recycle Industries
circulatory firms
Research institutionsRecycle
Industries
Recycle Industries
Research institutions
Collaboration based on inter-city agreements, etc. on policy
information, social system information, human resources
Menu for industry/government/ private sector collaborative
support framework and support including international
organizations
International public-private sector projects
consortiums
promotion of model projects
Promoting Projects between Japan and Overseas through “Eco town ” Collaboration
9
SDGs Future City/ Local government SDGs mode program
10 municipalities
Shizuoka city
Tsukuba city
Matsushima city
Hokkaido pref.
Shimokawa town
Niseko town
Kamakura city
Yokohama city
Hamamatsu city
Toyota city
Shima city
Totsugawa vil.
Kamikatsu town
Hiroshima pref.Oguni town
Kitakyushu city
Iki city
Ube city
Okayama city
Maniwa cityHakusan city
Suzu city
Toyama city
Sapporo city
Semboku city
Kanagawa pref.
SDGs Future City Initiatives Announced on June 15, 2018
Iide town
Sakai city
Nagano pref.
This map is made based on the blank map of Geospatial Information Authority of Japan 〔http://www.gsi.go.jp/〕
SDGs Future City19 municipalities
11
・Circular region through local circularization and energy management ・Information and infrastructure system for resource circularization, local energy management and eco-system utilization
SDGs Cities from Circular Economy
ProductionEmploym
ent
,, , / i ri r i rL VA LP
,,
,
,
( )
( )
nb rr aa
i r
b r
P VAP for i nbVA
VA for i b
, ,, , ,i s ri r i s rL RS CM
, ,, , ,,
/ s s r s ai s r s ai r rCM LPR Lout PC P
PopulationCom
muters
Net change
Birth Ratio
Cohort
Agri. Fore. RetailService
Retail Service
Agri. Fore.Industry
Outbound Local Residents
Inbound
Residents
350 300 250 200 150 100 50 0 50 100 150 200 250 300
00_0405_0910_1415_1920_2425_2930_3435_3940_4445_4950_5455_5960_6465_6970_7475_7980_84
85_Over
女性 男性
Estimated from Production
Estimated by the population
External design-ation onscenarios
Definition of commuting patterns
Cohort estimation and estimation of social in-out migration
Pop t-1
Prep Estimat.
Regional Integrated Assessment Model AIM regionPopulation and Local Economy Model Land Use
Model
Land use regulation
Ecological Impact Model
Ecological resource endowments
Climate ChangeImpact
Adaptaion Model
Impacts on agri-production
Local Transporta-tion Model Modal Dist.Public System
Solid Waste Model Circular
Production and Energy
Local Energy Model
Renewable energyCO2 Emission
AIM Regional Model to Quantify the SDGs Accomplishments
12
Dr. Gomi NIES
Socio Economic Impacts of SDGs Policies in a township‚ Oguni
13
BaU Scenario
7,187
6,499
5,8525,279
4,7254,176
3,6493,168
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
0~14Age 15~64 65-
SDGsScenario
7,187
6,6696,316
6,0195,747
5,4645,2115,014
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
0~14 15~64 65-
(人)
Dr. Gomi NIES
14
Smart Symbiosis Initiatives for Eco town Innovation Initiatives
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
Smart industrial complex
Local 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
Renewableenergy
Local Data Collection Center
5
0
1000
2000
3000
4000
5000
6000
2013 2025BaU
2025CM
GHG
emiss
ions
(ktC
O2e
q)
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: 343ktCO2eq
Renewable energy: 250ktCO2eq
Waste collection and recycling: 47ktCO2eq
Industry energy efficiency improvement: 47ktCO2eq
From “Model Low Emission City”
-21%
• Many local LCS scenarios have been developed with limited statistics and “default” parameters from national or international information. Such scenarios may not reflect local conditions properly.
• We combines modeling with monitoring of local activity so that we can propose more suitable mitigation scenario and Action plans for a city/region.
• Wider questionnaire survey is also adopted in order to supplement the monitoring.
Mitigation potential
Roadmap andinvestment
Policy actions
The model to project future scenarios: ExSS/AFOLUAPopulationIndustry
Transport
Agriculture
Waste
Energy DemandEnergy Supply
Land use and Forestry
GHG emissions
Energy technologies
Statistics Current environmental initiative
Locally suitable mitigation scenarios
Energy Monitoring• Current and future energy
consumption pattern• Energy saving
potential
Transport Monitoring• Transport structure• Vehicle speed• Fuel efficiency etc.
+ Questionnaire survey
Locally suitable scenario development
15
16
Selected list of recent publications in the related topics
Seiya Maki, Shuichi Ashina, Minoru Fujii, Tsuyoshi Fujita, et.al (2018); Energy consumption monitoring system and integrative time series analysis models - case study in the green city demonstration project in Bogor City, Indonesia , Frontiers of Energy
Remi Chandran, Tsuyoshi Fujita, et.al.(2018); Expert networks as science-policy interlocutors in the Implementation of a Monitoring Reporting and Verification (MRV) system, Frontiers of Energy, in press
Yi Dou, Takuya Togawa, Liang Dong, Minoru Fujii, Satoshi Ohnishi, Hiroki Tanikawa, Tsuyoshi Fujita (2018) Innovative planning and evaluation system for district heating using waste heat considering spatial configuration: A case in Fukushima, Japan. Resources, Conservation and Recycling, 128, 406-416
Yujiro Hirano, Kei Gomi, Shogo Nakamura, Yukiko Yoshida, Daisuke Narumi, Tsuyoshi Fujita (2017) Analysis of the impact of regional temperature pattern on the energy consumption in the commercial sector in Japan. Energy and Buildings, 149, 160–170
Yujiro Hirano, Tsuyoshi Fujita (2016) Simulating the CO2 reduction caused by decreasing the air conditioning load in an urban area. Energy and Buildings, 114, 87-95
Yong Geng, Tsuyoshi Fujita, et.al. (2016) Recent progress on innovative eco-industrial development. Journal of Cleaner Production, 114, 1-10
Hiroto Shiraki, Shuichi Ashina, Yasuko Kameyama, Seiji Hashimoto, Tsuyoshi Fujita (2016) Analysis of optimal locations for power stations and their impact on industrial symbiosis planning under transition toward low-carbon power sector in Japan. Journal of Cleaner Production, 114, 81-94
Satoshi Ohnishi, Minoru Fujii, Tsuyoshi Fujita, et.al. (2016) Comparative analysis of recycling industry development in Japan following the Eco-Town program for eco-industrial development. Journal of Cleaner Production, 114, 95-102
Takuya Togawa, Tsuyoshi Fujita, et.al. (2016) Integrating GIS databases and ICT applications for the design of energy circulation systems. Journal of Cleaner Production, 114, 224-232
Minoru Fujii, Tsuyoshi Fujita, et.al. (2016) Possibility of developing low-carbon industries through urban symbiosis in Asian cities. Journal of Cleaner Production, 114, 376-386
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