Faculty Profiles - SOU Nichicho

写真a

SOU Nichicho

Name of department

Faculty of Systems Engineering, Environmental Design Studies Division, Environmental Science

Job title

Lecturer

External link

Education

2013

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2016

The University of Kitakyushu Graduate School of Environmental Engineering 環境システム専攻

　View Remarks

Doctor of Engineering
2011

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2013

The University of Kitakyushu Graduate School of Environmental Engineering 環境システム専攻

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Master of Engineering
2004

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2008

University of Jinan 都市発展学部資源環境と都市計画管理専攻

Degree

Doctor of Engineering 2016

Academic & Professional Experience

2026.04

-

Now

Wakayama University Faculty of Systems Engineering Department of Systems Engineering Lecturer
2026.04

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Now

Shizuoka University of Art and Culture Faculty of Cultural Policy and Management Department of Regional Cultural Policy and Management Part-time Lecturer
2025.04

-

2026.03

Shizuoka University of Art and Culture Faculty of Cultural Policy and Management Department of Regional Cultural Policy and Management Lecturer
2024.04

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2025.03

The University of Kitakyushu Institute of Environmental Science and Technology Specially Appointed Associate Professor
2022.10

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Now

The University of Kitakyushu Graduate School of Environmental Engineering Part-time Lecturer
2022.04

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2024.09

The University of Kitakyushu Faculty of Environmental Engineering Part-time Lecturer
2021.04

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Now

National Institute for Environmental Studies NIES Fukushima Regional Collaborative Research Center Visiting Researcher
2021.04

-

2024.03

The University of Kitakyushu Institute of Environmental Science and Technology Specially Appointed Lecturer
2021.01

-

2021.03

The University of Kitakyushu Faculty of Environmental Engineering Specially Appointed Researcher
2020.03

-

2020.12

National Institute for Environmental Studies Fukushima Branch Research Associate
2017.01

-

2020.02

National Institute for Environmental Studies Center for Global Environmental Research Research Associate
2016.10

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2016.12

The University of Kitakyushu Faculty of Environmental Engineering Research Assistant

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Association Memberships

2024.01

-

2024.12

SDEWES Centre
2022.04

-

Now

Japan Society of Material Cycles and Waste Management
2021.04

-

Now

Society of Environmental Science, Japan
2021.04

-

Now

The Institute of Life Cycle Assessment, Japan
2021.04

-

Now

Japan Association for Human and Environmental Symbiosis
2017.04

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2020.03

Japan Geoscience Union
2016.10

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2018.03

Japan Association for Human and Environmental Symbiosis

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Research Areas

Informatics / Mathematical informatics / 最適化
Environmental science/Agricultural science / Environmental load/risk assessment / 省エネ・脱炭素
Environmental science/Agricultural science / Recycling systems and society / リサイクル

Research Interests

System optimization
環境システム工学
LCA
Machine Learning
Geostatistics
環境情報学

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Published Papers

非住宅建築物における分散型エネルギー資源の最適運用に関する研究

カオリルトフィア, 叢日超, 藤山淳史, 松本亨

環境科学会誌 39 ( 1 ) 43 - 63 2026.01 [Refereed]

DOI
再生可能エネルギー由来電力活用最大化に向けた市町村連携の可能性と課題

垣内真安太, 叢日超, 藤山淳史, 松本亨

環境科学会誌 39 ( 1 ) 64 - 76 2026.01 [Refereed]

DOI
Scenario-Based Framework for National Energy Storage Integration in Decarbonization Pathways

Marwa Hassan, Nobuo Yazawa, Richao Cong （Part： Last author )

International Journal of Sustainable Energy Planning and Management ( Aalborg University ) 47 7 - 20 2025.12 [Refereed]

　View Summary

The integration of large-scale energy storage is pivotal for enabling re-liable, affordable, and decarbonized national power systems. This studyintroduces a scenario-based strategic planning framework to guide the de-ployment of storage under varying policy and technological futures. Fournational-scale scenarios are examined to explore how different planningapproaches affect emissions, cost, and grid stability. The results showthat strategic early investment in storage—as modeled in Scenario A—canlead to a 50% storage penetration rate by 2050, avoid 220 million metrictons of carbon dioxide emissions, and reduce the Levelized Cost of Energyfrom 112 to 76 USD per megawatt-hour. Scenario A also demonstrates themost cost-effective reliability enhancement, achieving a cost per avoidedblackout hour of 105,263 USD. In contrast, Scenario D, which assumespolicy inaction, results in only 20 gigawatts of installed storage capacityby 2050, an 18% reduction in renewable energy curtailment, and a per-sistently high Levelized Cost of Energy of 118 USD per megawatt-hour.These findings underscore the critical role of storage in supporting na-tional decarbonization and highlight the need for coordinated planning.The proposed framework serves as a practical decision-support tool foraligning storage investments with long-term energy and climate goals.

DOI
Monitoring Hospital Visitors Could Enhance the Prediction of the Plastic Waste Collection Demand and Its Management

Richao Cong, Toru Matsumoto, Atsushi Fujiyama （Part： Lead author,　Corresponding author )

Waste 2025.07 [Refereed] [Invited]

DOI
Environmental and Economic Impacts of V2X Applications in Electric Vehicles: A Long-Term Perspective for China

Yajie Hu, Richao Cong, Toru Matsumoto, Yajuan Li

Energies ( MDPI AG ) 18 ( 14 ) 3636 - 3636 2025.07 [Refereed]

　View Summary

Electric vehicles (EVs) play a critical role in the transition to transportation electrification and are important for achieving carbon neutrality in this sector. China currently leads the world in EV ownership; however, the energy regulation potential of in-use batteries remains largely untapped in the context of an increasingly saturated EV stock. This study systematically evaluates the long-term benefits of vehicle-to-everything (V2X) applications based on EV sales projections and advancements in battery technology. The results indicate that, without compromising daily travel requirements, V2X applications could enable 109.50–422.37 TWh of annual electricity dispatch by 2030, achieving an estimated economic benefit of 198.92–767.25 billion CNY, and reducing carbon dioxide (CO2) emissions by 45.01–173.60 Mt. By 2060, these figures are projected to increase significantly, with annual dispatchable electricity reaching 4217.39–21,689.43 TWh, generating an economic value of 10.82–55.66 trillion CNY, and reducing CO2 emissions by 118.09–607.30 Mt. Furthermore, V2X applications could substantially contribute to achieving the emission reduction targets outlined in China’s Nationally Determined Contributions (NDCs). These findings highlight that V2X applications, as a transformative solution that promotes deep integration between the transportation and power sectors, enhance cross-sectoral emission reduction synergies and support the realization of carbon neutrality goals.

DOI
Research on Different Energy Transition Pathway Analysis and Low-Carbon Electricity Development: A Case Study of an Energy System in Inner Mongolia

Boyi Li, Richao Cong, Toru Matsumoto, Yajuan Li

Energies 18 ( 12 ) 3129 - 3129 2025.06 [Refereed]

DOI
An Intelligent-based Framework for Urban Energy Transition and Sustainable Development

Richao Cong, Mirei Abe, Atsushi Fujiyama, Toru Matsumoto （Part： Lead author,　Corresponding author )

Renewable Energy ( Elsevier BV ) 250 123323 - 123323 2025.04 [Refereed]

DOI
How Should AI Technique Support Wastewater Treatment and Sludge Management? A Case Study from Mongolia

Richao Cong, Tumurtogtokh Oyunchimeg, Atsushi Fujiyama, Toru Matsumoto （Part： Lead author,　Corresponding author )

EcoDesign for Circular Value Creation: Volume I 2025.04 [Refereed]

　View Summary

In the current years, the artificial intelligence (AI) technique has been utilized for waste management due to its higher accuracy. Understanding the future disposal demand of wastewater (WW) and sludge generation accurately is essential for WW treatment and sludge management. This study proposed an AI-based approach to predict the daily demand for WW and generation amounts of sludge, demonstrated for Ulaanbaatar, Mongolia. A machine learning approach was developed to predict the daily disposal amounts of WW and generation amounts of sludge based on the daily records from a WW treatment plant. In the validation process, the monthly-mean accuracy of the predicted disposal amounts of WW for the last month of 2020 was about 98.0% (predicted by the Medium Gaussian SVM model). Meanwhile, the monthly-mean prediction accuracy of the sludge generation in the same period was increased from about 83.1% to 84.7% by using the proposed approach. The proposals on future applications were made for WW treatment, e.g., optimizing the personnel arrangement, procurement of chemicals, and prediction of the sludge generation. For sludge management, our proposals were made from future treatment plans and recovery of resources and energy aspects. This study demonstrated that the AI technique is helpful for waste management.

DOI
Optimal Energy Storage System and CCS Accelerate Energy Decarbonization : A Case Study of Inner Mongolia, China

Boyi LI, Richao CONG, Toru MATSUMOTO, Yajuan LI

Journal of Human and Environmental Symbiosis 41 ( 1 ) 46 - 60 2025.03 [Refereed]

DOI
Balancing Development and Sustainability in China: Critical Metal Recycling Potential from China’s Electric Vehicle Industry

Yajie HU, Richao CONG, Toru MATSUMOTO, Yajuan LI

Journal of Human and Environmental Symbiosis 41 ( 1 ) 24 - 35 2025.03 [Refereed]

DOI
Driving Towards Sustainability: V2G Technology and Future Prospects

Yajie Hu, Richao Cong, Toru Matsumoto

2025 9th International Conference on Green Energy and Applications (ICGEA) ( IEEE ) 1 - 8 2025.03 [Refereed]

DOI
Incorporation of Optimal Energy Storage Systems and CCUS Project into Power Market Trading

Boyi Li, Richao Cong, Toru Matsumoto

2025 9th International Conference on Green Energy and Applications (ICGEA) ( IEEE ) 1 - 8 2025.03 [Refereed]

DOI
Study on Improving the Accuracy of Ordering Food to Reduce Food Loss

Jianan WU, Richao CONG, Toru MATSUMOTO, Yajuan LI （Part： Corresponding author )

Journal of Human and Environmental Symbiosis 41 ( 1 ) 47 - 54 2024.04 [Refereed]

DOI
An optimal scheme assists the municipalities in Fukuoka, Japan in achieving their goal of 100% renewable energy supply and future decarbonization

Richao Cong, Atsushi Fujiyama, Toru Matsumoto （Part： Lead author,　Corresponding author )

Energy Nexus 13 100277 2024.03 [Refereed]

DOI
Optimal plastic recycling system and technology development could accelerate decarbonization: A case study from Japan

Richao Cong, Atsushi Fujiyama, Toru Matsumoto （Part： Lead author,　Corresponding author )

Waste Management 175 110 - 120 2024.03 [Refereed]

DOI
Green Energy Management System Built by AI Technique to Support the Regional Sustainable Development in Japan

Richao Cong, Atsushi Fujiyamab, Toru Matsumoto （Part： Lead author,　Corresponding author )

Advances in Transdisciplinary Engineering 38 3 - 10 2023.10 [Invited]

DOI
Carbon sink quantification aids for achieving the zero-emission goal: A case study in Japan

Richao Cong, Atsushi Fujiyama, Toru Matsumoto （Part： Lead author,　Corresponding author )

Energy Reports 8 ( 9 ) 8 - 17 2022.11 [Refereed]

DOI
How and why did fossil fuel use change in Fukushima Prefecture before and after the Great East Japan Earthquake?

Richao Cong, Kei Gomi, Takuya Togawa, Yujiro Hirano, Makoto Oba （Part： Lead author,　Corresponding author )

Energy Reports 8 ( 3 ) 1159 - 1173 2022.11 [Refereed]

DOI
AI Techniques Aid for Predicting the Collection Demands of Industrial Plastic Waste From Multiple Facilities

Richao CONG, Atsushi FUJIYAMA, Toru MATSUMOTO （Part： Lead author,　Corresponding author )

ENVIRONMENTAL SCIENCE 35 ( 5 ) 237 - 247 2022.09 [Refereed]

DOI
AI Techniques Aid for Optimizing the Collection System of Industrial Plastic Waste

Richao CONG, Atsushi FUJIYAMA, Toru MATSUMOTO （Part： Lead author,　Corresponding author )

ENVIRONMENTAL SCIENCE 35 ( 5 ) 248 - 257 2022.09 [Refereed]

DOI
Collection of Industrial Plastic Waste During the COVID-19 Pandemic: A Case Study of the Wholesale and Retail Trade Sector in Fukuoka Prefecture, Japan

Richao CONG, Atsushi FUJIYAMA, Toru MATSUMOTO （Part： Lead author,　Corresponding author )

Journal of Human and Environmental Symbiosis 38 ( 1 ) 46 - 55 2022.03 [Refereed]

DOI
Proposal on Optimally Matching Plastic Waste and Recycling Technology for a Low-carbon Society

Cong Richao, Fujiyama Atsushi, Matsumoto Toru

Proceedings of the Annual Conference of Japan Society of Material Cycles and Waste Management ( Japan Society of Material Cycles and Waste Management ) 33 81 2022

　View Summary

近年、廃プラスチック問題は世界的な課題となっており、効果的なリサイクルシステムの構築が求められている。そこで本研究では、ライフサイクル二酸化炭素（CO2）が最小となるように発生源と再資源化技術のマッチングを導出することができる手法を提案し、三重県で発生した廃プラ（産業廃棄物）を対象に適用する。ポリプロピレン PP、ポリエチレン PE、ポリエチレンテレフタレート PET、ポリスチレン PS、ポリ塩化ビニル PVC、ポリウレタン PUR が分析対象とし、マテリアルリサイクル MR、ケミカルリサイクル CR、エネルギー回収 ER の再資源化技術を考慮した。線形計画法を用いた最適化の結果、PVC は 32％を県内で ER を行い、残り 68％は県外で MR する結果となった。また、PVC 以外の廃プラについては全量県内で処理できることが示され、その時の処理方法は PE と PP が全量 MR、PS とPUR、PET が全量 ER であった。

DOI
Fossil-fuel CO2 emission estimates at 1x1 km in Tokyo

Richao Cong, Makoto Saito

( Center for Global Environmental Research, NIES ) 2021.01

DOI
EVIDENCE FOR THE DEVELOPMENT OF ENERGY RESILIENCE IN FUKUSHIMA PREFECTURE AFTER THE GREAT EAST JAPAN EARTHQUAKE

R. Cong, K. Gomi （Part： Lead author,　Corresponding author )

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ( Copernicus GmbH ) XLIV-3/W1-2020 37 - 41 2020.11 [Refereed]

　View Summary

Abstract. Taking the lessons from the Great East Japan Earthquake (GEJE) occurred in March 2011, the nuclear-reliant energy policy in Fukushima Prefecture has been transformed to other energy (fossil fuel, renewable energy) to make their energy system with better resilience toward the future disaster. As the increased concern on the Global Warming, Fukushima Prefecture made more efforts on the promotions of the renewable energy than the fossil fuel power. Nine years has passed since the GEJE, however, the spatial variation of the energy supply facilities is not clarified and the resilience of its energy system has not been evaluated. Therefore, this study focused on spatial analysis on these energy supply facilities before and after the GEJE and discussing the energy resilience in Fukushima Prefecture toward future disasters or climate events. This approach will be helpful for policy makers to spatiotemporally evaluate the sustainable development on the energy system.

DOI
A high-resolution, spatially explicit estimate of fossil-fuel CO2 emissions from the Tokyo Metropolis, Japan

Richao Cong, Makoto Saito, Tomohiro Oda, Tetsuo Fukui, Ryuichi Hirata, Akihiko Ito （Part： Lead author,　Corresponding author )

( Research Square Platform LLC ) 2020.03 [Refereed]

　View Summary

Abstract

Background: The quantification of urban greenhouse gas (GHG) emissions is an important task in combating climate change. Emission inventories that include spatially explicit emission estimates facilitate the accurate tracking of emission changes, identification of emission sources, and formulation of policies for climate-change mitigation. Many currently available gridded emission estimates are based on the disaggregation of country- or state-wide emission estimates, which may be useful in describing city-wide emissions but are of limited value in tracking changes at subnational levels. Urban GHG emissions should therefore be quantified with a true bottom-up approach. Results: Multi-resolution, spatially explicit estimates of fossil-fuel carbon dioxide (FFCO2) emissions from the Tokyo Metropolis, Japan, were derived. Spatially explicit emission data were collected for point (e.g., power plants and waste incinerators), line (mostly traffic), and area (e.g., residential and commercial areas) sources. Emissions were mapped on the basis of emission rates calculated for source locations. Activity, emissions, and spatial data were integrated, and the results were visualized using a geographic information system approach. Conclusions: The annual total FFCO2 emissions from the Tokyo Metropolis in 2014 were 44,855 Gg CO2, with the road-transportation sector (16,323 Gg CO2) accounting for 36.4% of the total. Spatial emission patterns were verified via a comparison with the East Asian Air Pollutant Emission Grid Database for Japan (EAGrid-Japan), which demonstrated the applicability of this methodology to other prefectures and therefore the entire country.

DOI
SPATIOTEMPORAL ANALYSIS ON CO2 EMISSIONS FROM HOUSEHOLDS IN JAPAN

R. Cong, M. Saito, R. Hirata, A. Ito （Part： Lead author,　Corresponding author )

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ( Copernicus GmbH ) XLII-2/W16 75 - 81 2019.09 [Refereed]

　View Summary

Abstract. Global warming has become worse and worse as the increasing greenhouse gas (GHG) emissions especially by the main contributor carbon dioxide (CO2). Thus, clarifying the spatiotemporal patterns of CO2 emissions from residential sector is very important for policy makers. To support the GHG mitigation in local area, this study provides a bottom-up framework that could count the monthly residential CO2 emissions at community level, demonstrated for Japan. A map-based population census is utilized to count the monthly and yearly emissions by combining the statistics data on households with detailed emission intensities. The residential emissions from each census area are estimated and mapped by Geographic Information System. Through the analysis, we proposed the solutions on GHG mitigation and reported the spatiotemporal patterns for residential emissions.

DOI
Overview of Model Systems for Global Carbon Dioxide and Methane Flux Estimates Using GOSAT and GOSAT-2 Observations

Makoto SAITO, Yosuke NIWA, Tazu SAEKI, Richao CONG, Tatsuya MIYAUCHI

Journal of The Remote Sensing Society of Japan ( The Remote Sensing Society of Japan ) 39 ( 1 ) 50 - 56 2019.02

　View Summary

Observational data acquired by satellites are at present a valuable tool for exploring the global carbon cycle. A key element of satellite observations is their high-frequency and global coverage, which can compensate for gaps in surface observation networks. The Greenhouse gases Observing SATellite (GOSAT) and its successor GOSAT-2 are designed to measure atmospheric carbon dioxide (CO2) and methane (CH4) so as to estimate their sources and sinks on subcontinental scales. This commentary gives an overview of the frameworks for estimating global surface CO2 and CH4 fluxes using GOSAT and GOSAT-2 observations.

DOI
Uncertainty Analysis on Global Greenhouse Gas Inventories from Anthropogenic Sources

Richao Cong, Makoto Saito, Ruichi Hirata, Akihiko Ito, Shamil Maksyutov （Part： Lead author,　Corresponding author )

International Journal of Environmental Pollution and Remediation ( Avestia Publishing ) 7 1 - 8 2019 [Refereed]

DOI
EXPLORATION ON QUANTIFYING CARBON DIOXIDE (CO2) EMISSION FROM ROAD TRAFFIC IN MEGACITY

R. Cong, M. Saito, R. Hirata, A. Ito, S. Maksyutov （Part： Lead author,　Corresponding author )

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ( Copernicus GmbH ) XLII-4 115 - 119 2018.09 [Refereed]

　View Summary

Abstract. As the increasing concern for climate change, quantification on greenhouse gas (GHG) emissions in urban scale has been a key component for local climate actions. To explore an approach on estimating the GHG emissions closely to the real-world condition, in this paper, we make efforts on counting the carbon dioxide (CO2) emissions from road traffic in Tokyo. The road traffic emissions mapping is achieved by linking spatial road line data with detailed activity data (traffic census). Through the data processing by Geographic Information System technique, the emissions of each road segment are estimated basing on the daily average traffic amount and speed of vehicles on each road segment. As our estimation, the CO2 emissions from road traffic of Tokyo in 2015 are about 16,323 Gg. The highlight points mainly refer to linking the traffic census information for the observed road segments on map and allocation efforts for unserved ones. As the limited amount of observation points in traffic census, accurate estimation for unobserved road segments is a challenge. Our approach overcomes it by assumption of a familiar traffic condition for all road segments in the same sub-city area. This approach could simulate the traffic patterns closely to the real traffic condition so that it will more effectively support the emission mitigation policies on road traffic for local climate.

DOI
VISUALIZATION ON FOSSIL-FUEL CARBON DIOXIDE (CO2) EMISSIONS FROM BUILDINGS IN TOKYO METROPOLIS

R. Cong, M. Saito, R. Hirata, A. Ito, S. Maksyutov （Part： Lead author,　Corresponding author )

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4 21 - 25 2018.09 [Refereed]

DOI
Spatial simulation and LCA evaluation on the plastic waste recycling system in Tianjin

Richao Cong, Toru Matsumoto, Wenchao Li, He Xu, Takamasa Hayashi, Changjun Wang （Part： Lead author,　Corresponding author )

Journal of Material Cycles and Waste Management ( Springer Nature ) 19 ( 4 ) 1423 - 1436 2017.10 [Refereed]

　View Summary

Paper details on: http://rdcu.be/nrzh

DOI
Optimization of Domestic Plastic Waste Collection and Transportation System in Mega-city of China: Case Study of Tianjin

Richao CONG, Toru MATSUMOTO, He XU, Wenchao LI （Part： Lead author,　Corresponding author )

Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) ( Japan Society of Civil Engineers ) 72 ( 5 ) I_65 - I_72 2016 [Refereed]

DOI

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Books etc

EcoDesign for Circular Value Creation: Volume I (How Should AI Technique Support Wastewater Treatment and Sludge Management? A Case Study from Mongolia)

Richao Cong, Tumurtogtokh Oyunchimeg, Atsushi Fujiyama, Toru Matsumoto( Part： Joint author, Work： Chapter of Digital Technologies for Sustainability: page 479-493)

Springer Nature Singapore 2025.04 ISBN: 9789819790678
Ebook: Green Energy, Environment and Sustainable Development

Richao Cong, Atsushi Fujiyama, Toru Matsumoto( Part： Contributor, Work： Green Energy Management System Built by AI Technique to Support the Regional Sustainable Development in Japan)

IOS Press Ebooks 2023.10 ISBN: 9781643684260

Misc

Spatiotemporal Assessment of Provincial Vehicle-to-Grid Potential under China's Carbon Neutrality Scenario

Yajie Hu, Richao Cong, Toru Matsumoto

EcoDesign 2025, P-61 2025.11 [Refereed]
北九州市における建物由来のエネルギー消費量の詳細化推計と空間分析

原理純, 叢日超, 藤山淳史, 松本亨（Part： Corresponding author )

第34回地理情報システム学会予稿集P2-32 2025.11
Future Regional Energy Planning Based on LCA and Multi-Objective Optimization Under the Background of Dual Carbon Target.

Boyi Li, Richao Cong, Toru Matsumoto

EcoDesign 2025, P-14 2025.11 [Refereed]
送電容量制約下における再生可能エネルギー由来電力利用最大化に向けた市町村連携の可能性

垣内真安太, 叢日超, 藤山淳史, 松本亨

環境科学会2025年会 2025.09
線形計画法を用いた廃プラスチックの再資源化施設選択モデルの開発：東海三県を対象としたケーススタディ

鉾岩風人, 叢日超, 藤山淳史, 松本亨

第20回日本LCA学会研究発表会 2025.03
再生可能エネルギー由来電力活用最大化に向けた市町村連携における送電容量の考慮：北九州都市圏域を対象として

垣内真安太, 叢日超, 藤山淳史, 松本亨

第 52 回環境システム研究論文発表会論文集 2024.11 [Refereed]
再生可能エネルギー利用拡大に向けた市町村連携における送電容量の考慮：北九州都市圏域のケーススタディ

垣内真安太, 叢日超, 藤山淳史, 松本亨

環境科学会 2024年会 2024.09
電力消費のモニタリングとエネルギーマネジメントへの活用可能性

松本亨, 藤山淳史, 叢日超

環境科学会 2024年会 2024.09
情報プラットフォームを活⽤した廃棄太陽光パネルの共同回収システムの効果推計

今津穂香, 叢日超, 藤山淳史, 松本亨

第19回日本LCA学会研究発表会 2024.03
線形計画法を用いた産業系廃プラスチックの再資源化施設選択モデルの開発

鉾岩風人, 叢日超, 藤山淳史, 松本亨

第19回日本LCA学会研究発表会 2024.03
再生可能エネルギーの活用に向けた市町村連携における送電容量の考慮：北九州都市圏域のケーススタディ

垣内真安太, 叢日超, 藤山淳史, 松本亨

第19回日本LCA学会研究発表会 2024.03
産業廃プラスチックを対象とした再資源化施設選択モデルの開発

鉾岩風人, 叢日超, 藤山淳史, 松本亨

2023 年度環境情報科学研究発表大会 2023.12
STUDY ON MAXIMIZING THE AMOUNT OF RENEWABLE ENERGY INTRODUCED IN INDUSTRIAL CITY CONSIDERING ENERGY STORAGE SYSTEMS

Atsushi FUJIYAMA, Mirei ABE, Richao CONG, Toru MATSUMOTO

環境システム研究論文発表会講演集(CD-ROM) 51st 2023.10 [Refereed]
Consumer Preference Evaluation of Plastic Container Recovery Systems Using Conjoint Analysis

Atsushi Fujiyama, Saki Ninomiya, Richao Cong, Toru Matsumoto

11th International Conference on Industrial Ecology 2023.07 [Refereed]
Estimating the Effect of an Information Platform for Collecting Waste Solar Panels

伊藤結, CONG Richao, 藤山淳史, 松本亨

日本LCA学会研究発表会(Web) 18th 2023.03
産業系廃プラスチックを対象とした再資源化施設選択モデルの構築

鉾岩風人, 叢日超, 藤山淳史, 松本亨

土木学会西部支部研究発表会, 2023 2023.03
PROJECTION OF LOCAL ENERGY BALANCE CONSIDERING THE POTENTIAL OF AGRIVOLTAICS

Gomi Kei, Ishimoto Hono, Takeyoshi Kosei, Cong Richao, Togawa Takuya, Tsuji Takashi, Nakamura Shogo, Ohnishi Satoshi

Grand Renewable Energy proceedings ( Japan Council for Renewable Energy ) 2 5 - 8 2022.12

　View Summary

Municipalities in Japan have begun to decarbonize their energy systems by introducing significant
amounts of renewable energy and building independent and decentralized energy systems. As a basis for the
discussion, we projected the balance of renewable energy supply potential and electricity demand in each of the
59 municipalities in Fukushima Prefecture. We found that the total supply of electricity in the prefecture is more
than twice as large as their demand, but that the supply is insufficient in some municipalities and that the
supply-demand balance can be improved by aggregating the municipalities into seven regional blocs.

DOI
ESTIMATION OF REVERSE LOGISTICE OF MEDICAL WASTE IN CHINA: THE CASE OF HEFEI CITY

LI Xinyue, MATSUMOTO Toru, CONG Richao

環境システム研究論文発表会講演集(CD-ROM) 50th 2022.10 [Refereed]
Exploration and effect estimation of the optimal collection system for waste solar panels assuming the use of an information platform

Fujiyama Atsushi, Tanio Sumiha, Cong Richao, Matsumoto Toru

Proceedings of the Annual Conference of Japan Society of Material Cycles and Waste Management ( Japan Society of Material Cycles and Waste Management ) 33 91 2022.09

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近年、太陽光発電設備が大量に導入されているが、近い将来、点検・保守による交換および廃棄によって使用済み太陽光パネルが大量に廃棄されることが予想されており、その回収およびリサイクルシステムを確立することは喫緊の課題となっている。そこで本研究では、福岡県内で排出される廃棄太陽光パネルの回収に対して、情報PFを活用することによって複数の拠点を一度に共同で回収するケースと、同じ拠点を個別に回収するケースを設定し、輸送費用を算出することで、その効果を算出した。なお、リサイクル業者は現在稼働している施設の情報を参考に、北九州エコタウンと大牟田エコタウンとし、そこを拠点にそれぞれ北ルートと南ルートとした。メンテナンス業者は福岡県のデータベースを参考に37社と設定した。その結果、いずれのケースにおいても個別回収ケースに比べ、共同回収ケースを行ったほうが輸送費用の削減につながることがわかった。

DOI
行政報告データを活用した廃プラスチックフロー推計手法の検討

范学周, 叢日超, 藤山淳史, 松本亨

第 17 回日本 LCA 学会研究発表会 2022.03
廃プラのマテリアルリサイクルを対象としたライフサイクル環境負荷評価

古賀哲太, 叢日超, 藤山淳史, 松本亨

土木学会西部支部研究発表会 2022.03
廃棄太陽光パネルの最適回収システムの探索と効果推計

谷尾澄葉, 叢日超, 藤山淳史, 松本亨

土木学会西部支部研究発表会 2022.03
Preliminary results for GOSAT-2 Level 4 global surface fluxes

SAITO Makoto, NIWA Yosuke, SAEKI Tazu, MURAKAMI Kazutaka, CONG Richao, MIYAUCHI Tatsuya, YASHIRO Hisashi, SHIRAISHI Tomohiro, HIRATA Ryuichi, YOSHIDA Yukio, MORINO Isamu, NODA Hibiki M, OHYAMA Hirofumi, KAMEI Akihide, MATSUNAGA Tsuneo

日本地球惑星科学連合大会予稿集(Web) 2020 2020.05 [Refereed]
Downscaling fossil-fuel CO2 emissions to policy relevant scales: Current errors and biases, expected improvements, and future perspectives

Tomohiro Oda, Rostyslav Bun, Miguel Román, Zhuosen Wang, Ranjay Shrestha, Thomas Lauvaux, Cong Richao, Makoto Saito, Masahide Nishihashi, Yukio Terao, Shamil Maksyutov, Bradley Matthews, Michael Anderl, Lesley Ott, Steven Pawson

Conference: EGU General Assembly 2020 ( Copernicus GmbH ) 2020.03 [Refereed]

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&lt;p&gt;Many of the global and regional gridded emission inventories used in atmospheric are based on downscaling techniques. &amp;#160;Regardless of their limitations compared to locally-constructed mechanistic emission inventories, such gridded datasets will keep a key role of transferring the information reported as emission inventories into science-based emission verification support (EVS) systems. &amp;#160;Given the use of inverse modeling in the EVS systems, characterizing errors and biases associated with the downscaled emission field is critical in order to obtain robust verification results.&amp;#160; However, such error characterization is often challenging due to the lack of objective metrics.&amp;#160;&amp;#160;&lt;/p&gt;&lt;p&gt;&amp;#160;&amp;#160;&amp;#160;&amp;#160; This study compares downscaled emissions from the ODIAC global high-resolution dataset to values taken from the reported inventories and from other independent emission products with the intent of assessing the validity (e.g., error, bias, or accuracy ) of downscaled emissions databases at different policy relevant scales. &amp;#160;ODIAC is based on its flagship high-resolution emission downscaling using satellite-observed nighttime lights (NTL) and point source information.&amp;#160; The sole use of the NTL proxy for diffuse emissions has limitations.&amp;#160; However, that provides a good opportunity to solely evaluate the performance of NTL as an emission proxy.&amp;#160; It is now relatively straightforward to create detailed, high-resolution emission maps due to the advancements in geospatial modeling.&amp;#160; However, such geospatial modeling techniques, which combine multiple pieces of information from different sources, are often neither validated nor even carefully evaluated.&amp;#160;&lt;/p&gt;&lt;p&gt;&amp;#160;&amp;#160;&amp;#160;&amp;#160; As commonly done in previous emission uncertainty studies, we use the differences and agreements as a proxy for errors and improvements. &amp;#160;We collect emission information reported at policy relevant scales, such as state/province/prefecture, cities and facility level (only for point sources).&amp;#160; We also use locally-constructed fine-grained emission inventories as a quasi-truth for the emission distribution.&amp;#160; We also assess the performance of NASA&amp;#8217;s Black Marble NTL product suites as a new emission proxy in relation to current the ODIAC proxy that is based on older NTL datasets.&amp;#160; We also look at how these emission differences translate into atmospheric concentration differences using high-resolution WRF simulations.&amp;#160;&lt;/p&gt;&lt;p&gt;&amp;#160;&amp;#160;&amp;#160;&amp;#160; Based on results from the comparison, we identify and discuss the challenges and limitations in the use of downscaled emissions in carbon monitoring at different policy-relevant scales, especially at the city level, and propose possible ways to overcome some of the challenges and provide emission fields that are useful for both science and policy applications.&amp;#160;&amp;#160;&amp;#160;&lt;/p&gt;

DOI
Analyzing the globally spatial-temporal variation of anthropogenic CO2 emission

Shuai Yin, Richao Cong, Makoto Saito, Ryuichi Hirata, Akihiko Ito

AGU-Fall meeting, 2019 2019.12 [Refereed]
A global carbon cycle model system for the GOSAT-2 project

Makoto Saito, Yosuke Niwa, Goto Daisuke, Tazu Saeki, Kazutaka Murakami, Richao Cong, Tatsuya Miyauchi, Shiraishi Tomohiro, Ryuichi Hirata, Yukio Yoshida, Tsuneo Matsunaga

AsiaFlux2019 ( 166 ) 2019.10
Improving Regional and Urban Emission Inventories of Greenhouse Gases for Carbon Cycle Study

Shuai Yin, Richao Cong, Ryuichi Hirata, Akihiko Ito, Makoto Saito

AGU-Fall meeting, 2018 2018.12 [Refereed]
Inversion systems for surface CO2 and CH4 flux estimates in GOSAT/GOSAT-2 projects

Makoto Saito, Tazu Saeki, Richao Cong, Tatsuya Miyauchi, Tsuneo Matsunaga, Shamil Maksyutov

Asia Oceania Geosciences Society 2018 2018.06 [Refereed]
Global carbon cycle estimates in GOSAT/GOSAT-2 projects

SAITO Makoto, SAEKI Tazu, CONG Richao, MIYAUCHI Tatsuya, MATSUNAGA Tsuneo, MAKSYUTOV Shamil

日本地球惑星科学連合大会予稿集(Web) 2018 2018.05 [Refereed]

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Awards & Honors

第22回LCA日本フォーラム表彰-ＬＣＡ日本フォーラム奨励賞

Winner： NEDOプロジェクトLCAチーム

2026.01 LCA日本フォーラム LCAによるプラスチック循環のシステム評価とベストミックスシナリオの導出
Fellow of IAAM

2025.10 IAAM
Distinguished Paper Award

Winner： Yajie HU, Richao CONG, Toru MATSUMOTO, Yajuan LI

2025.09 Japan Association for Human and Environmental Symbiosis Balancing Development and Sustainability: Critical Metal Recycling Potential from China's Electric Vehicle Industry
奨励賞

Winner：叢日超

2025.09 Japan Association for Human and Environmental Symbiosis 廃棄物・エネルギー分野における情報処理工学の多角度的応用
ILCAJ Young Researcher's Award

Winner： Richao Cong

2025.03 The Institute of Life Cycle Assessment, Japan Designing and evaluations of decarbonization-oriented systems by integrating the life cycle assessment and optimization theory
SES Young Environmental Scientist Award

Winner： Richao CONG

2023.09 Society of Environmental Science, Japan Research on urban decarbonization, waste recycling, and energy supply systems optimization based on numerical modeling and spatial analysis
Best Poster Honorary Mention Certificate

Winner： Richao Cong, Makoto Saito, Ryuichi Hirata, Akihiko Ito, Shamil Maksyutov

2018.10 International Society for Photogrammetry and Remote Sensing Exploration on Quantifying Carbon Dioxide (CO2) Emission from Road Traffic in Megacity

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Conference Activities & Talks

A NOVEL SCHEME FOR PREDICTING DAILY COVID-19 INFECTIONS: A CASE STUDY IN TOKYO

Richao Cong, Toru Matsumoto, Shinya Yasumoto

53th Annual Meeting of Environmental Systems Research 2025.11.15
Data Science Aids Plastic Waste in the Management and Recycling

Richao CONG, Toru MATSUMOTO, Atsushi FUJIYAMA [Invited]

The 66th Assembly of Advanced Materials Congress 2025.10.14
Health Risk Assessment, Visitor Monitoring, and Prediction of COVID-19 Infections in Japanese Municipalities

Richao CONG, Atsushi FUJIYAMA, Toru MATSUMOTO, Shinya YASUMOTO [Invited]

The 1st International Conference on Innovative Structure and Resilient City (ISRC 2025) 2025.09.28
Enhance the Prediction of Plastic Waste Collection Demand for Hospital by Monitoring its Users

Richao Cong, Atsushi Fujiyama, Toru Matsumoto

36th Annual Conference of Japan Society of Material Cycles and Waste Management 2025.09.18
Optimal Plastic Recycling System and Technology Development Could Accelerate Decarbonization: A Case Study From Japan

Richao Cong, Atsushi Fujiyama, Toru Matsumoto [Invited]

The 3rd World Chemistry Congress 2025 (IWCC-2025) 2025.05.12
Designing and evaluations of decarbonization-oriented systems by integrating the life cycle assessment and optimization theory

Richao Cong

第20回日本LCA学会研究発表会 2025.03.07
A Novel Approach Aids Energy Demand in Future Prediction and its Management: Case Study of a University Campus

Richao Cong, Atsushi Fujiyama, Toru Matsumoto

EcoBalance 2024 2024.11.05
How did the Recycling Industry Contribute to Sustainability Development in Japan? Evidence from Kitakyushu Eco Town in the Past 20 years

Richao Cong, Toru Matsumoto

EcoBalance 2024 2024.11.05
A Novel Framework Aids Energy Demand in Future Prediction and Management: Case Study of an Office Building

Richao Cong, Atsushi Fujiyama, Toru Matsumoto

52th Annual Meeting of Environmental Systems Research 2024.11.03
Proposal on Integrating Health Risk Assessment of COVID-19 with Monitoring System to Support Future Prevention Policymaking in Tokyo

Richao CONG, Toru MATSUMOTO, Atsushi FUJIYAMA, Shinya YASUMOTO

52th Annual Meeting of Environmental Systems Research 2024.11.02
Assessment of Health Risk to COVID-19 and a Novel Monitoring Scheme: Evidence from Fukuoka Municipalities

Richao CONG, Toru MATSUMOTO, Atsushi FUJIYAMA, Shinya YASUMOTO

27th Annual Conference of Japan Association for Human and Environmental Symbiosis 2024.09.15
A Novel Scheme Aids a Japanese City in Energy System Transition

Richao Cong, Atsushi Fujiyama, Toru Matsumoto

19th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES2024) 2024.09.12
A Smart Energy System Designed for Decarbonization-oriented Energy Transition from a Solar-rich Region of Japan

Richao CONG, Atsushi FUJIYAMA, Toru MATSUMOTO

19th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES2024) 2024.09.10
An optimal scheme assists the municipalities in Fukuoka, Japan in achieving their goal of 100% renewable energy supply and future decarbonization

Richao Cong, Atsushi Fujiyama, Toru Matsumoto [Invited]

The 9th International Conference on New Energy and Future Energy Systems (NEFES 2024) 2024.07.31
An LCA-based Spatial Matching Scheme Aids the De-carbonization from Plastic Waste Recycling in Japan

Richao Cong, Atsushi Fujiyama, Toru Matsumoto

4th Life Cycle Innovation Conference (LCIC 2024) 2024.07.03
A Decarbonization-oriented Energy System Aids for the Sustainable Development in Kitakyushu City

叢日超, 藤山淳史, 松本亨

第19回日本LCA学会研究発表会 2024.03
How Should AI Technique Support Wastewater Treatment and Sludge Management? A Case Study from Mongolia

Richao Cong, Tumurtogtokh Oyunchimeg, Atsushi Fujiyama, Toru Matsumoto

EcoDesign 2023 2023.11
Geographic and Technical Matching Approach Supporting the Low-Carbon Style Recycling in Japan

Richao Cong, Atsushi Fujiyama, Toru Matsumoto

International Symposium on Feedstock Recycling of Polymeric Materials (ISFR) 2023.11
How and why did fossil fuel use change in Fukushima Prefecture before and after the Great East Japan Earthquake?

Richao Cong, Kei Gomi, Takuya Togawa, Yujiro Hirano, Makoto Oba [Invited]

The 8th International Conference on New Energy and Future Energy Systems (NEFES 2023) 2023.11
CURRENT STATUS, BALANCE, AND FUTURE DIRECTION OF THE GREEN ENERGY SYSTEM IN FUKUOKA MUNICIPALITIES

CONG Richao, FUJIYAMA Atsushi, GOMI Kei, MATSUMOTO Toru

環境システム研究論文発表会講演集(CD-ROM) 2023.10
Research on urban decarbonization, waste recycling, and energy supply systems optimization based on numerical modeling and spatial analysis

叢日超

環境科学会年会講演要旨集(Web) 2023.09
Study on an Optimal Matching Scheme for Plastic Waste Recycling based on Life cycle Assessment

Cong Richao, Fujiyama Atsushi, Matsumoto Toru

Proceedings of the Annual Conference of Japan Society of Material Cycles and Waste Management 2023.09 Japan Society of Material Cycles and Waste Management

　View Summary

This study provided an optimal matching scheme supporting low-carbon style recycling systems, demonstrated using polyvinyl chloride waste generated in 2018 in Mie Prefecture, Japan. The matching includes 40 pretreatment facilities and 62 recycling plants (material recycling: MR, chemical recycling: CR, and energy recovery: ER). The optimal solutions were detected by using a Linear Programming approach. As matched in the current case, 8 of 40 pretreatment facilities, all 8 MR, 9 of 13 CR, and 0 ER facilities were allocated for disposal. From an environmental aspect, CO2 emission reductions were estimated by MR about 222.6 kt CO2 and by CR about 24.5 kt CO2. In the future case, the matched number of facilities were not changed so much, however, the emission reductions were estimated to be increased a lot due to the recycling technology development.
Developing an Optimal Energy Supply System to Support the Regional Decarbonization: A Case Study from Kitakyushu City, Japan

Richao Cong, Mirei Abe, Atsushi Fujiyama, Toru Matsumoto

11th International Conference on Industrial Ecology 2023.07
Green Energy Management System Built by AI technique to Support the Regional Sustainable Development in Japan

Richao Cong, Atsushi Fujiyama, Toru Matsumoto [Invited]

The 4th International Conference on Green Energy, Environment and Sustainable Development (GEESD 2023) 2023.06
Lifecycle-based Matching Approach for Industrial Plastic Waste Recycling towards a Zero-plastic-waste Society

CONG Richao, FUJIYAMA Atsushi, MATSUMOTO Toru

日本LCA学会研究発表会(Web) 2023.03
Artificial Intelligence Technique Applied for Wastewater Treatment: A Case Study in Ulaanbaatar, Mongolia

Richao Cong, Tumurtogtokh Oyunchimeg, Atsushi Fujiyama, Toru Matsumoto

10th International Symposium on Applied Engineering and Sciences (SAES2022) 2022.12
PROPOSAL AND APPLICATION OF THE OPTIMAL MATCHING METHOD BETWEEN THE PLASTIC WASTE AND RECYCLING TECHNOLOGIES USING BOTTOM-UP DATA

CONG Richao, FUJIYAMA Atsushi, MATSUMOTO Toru

環境システム研究論文発表会講演集(CD-ROM) 2022.10
Optimizing the Collection System of Industrial Plastic Waste by Using Machine Learning

CONG Richao, FUJIYAMA Atsushi, MATSUMOTO Toru

環境科学会年会講演要旨集(Web) 2022.09
Proposal on Optimally Matching Plastic Waste and Recycling Technology for a Low-carbon Society

Cong Richao, Fujiyama Atsushi, Matsumoto Toru

Proceedings of the Annual Conference of Japan Society of Material Cycles and Waste Management 2022.09 Japan Society of Material Cycles and Waste Management

　View Summary

近年、廃プラスチック問題は世界的な課題となっており、効果的なリサイクルシステムの構築が求められている。そこで本研究では、ライフサイクル二酸化炭素（CO2）が最小となるように発生源と再資源化技術のマッチングを導出することができる手法を提案し、三重県で発生した廃プラ（産業廃棄物）を対象に適用する。ポリプロピレン PP、ポリエチレン PE、ポリエチレンテレフタレート PET、ポリスチレン PS、ポリ塩化ビニル PVC、ポリウレタン PUR が分析対象とし、マテリアルリサイクル MR、ケミカルリサイクル CR、エネルギー回収 ER の再資源化技術を考慮した。線形計画法を用いた最適化の結果、PVC は 32％を県内で ER を行い、残り 68％は県外で MR する結果となった。また、PVC 以外の廃プラについては全量県内で処理できることが示され、その時の処理方法は PE と PP が全量 MR、PS とPUR、PET が全量 ER であった。
How to predict the collection demands of industrial plastic waste-challenged from multiple facilities

Richao Cong, Atsushi Fujiyama, Toru Matsumoto

The 8th 3R International Scientific Conference (3RINCs) 2022.03
MACHINE LEARNING FOR FUTURE PREDICTION OF THE AMOUNT OF INDUSTRIAL PLASTIC WASTE COLLECTION

CONG Richao, FUJIYAMA Atsushi, MATSUMOTO Toru

環境システム研究論文発表会講演集(CD-ROM) 2021.10
Future Prediction of Industrial Plastic Waste Collection Amount: A Case Study in Hospital of Fukuoka

CONG Richao, FUJIYAMA Atsushi, MATSUMOTO Toru

環境科学会年会講演要旨集(Web) 2021.09
グローバル二酸化炭素排出インベントリーの不確実性の低減に向けて

CONG Richao, 齊藤誠, 平田竜一, 伊藤昭彦

日本地球惑星科学連合大会予稿集(Web) 2019.05
Visualization Analysis on Uncertainties in the Global Greenhouse Gas Inventories

Richao Cong, Makoto Saito, Ryuichi Hirata, Akihiko Ito, Shamil Maksyutov

2018 joint 14th iCACGP Quadrennial Symposium/15th IGAC Science Conference 2018.09
Uncertainty Analysis on Global Greenhouse Gas Inventories from Anthropogenic Sources

Richao Cong, Makoto Saito, Ryuichi Hirata, Akihiko Ito, Shamil Maksyutov

Proceeding of the 2nd International Conference of Recent Trends in Environmental Science and Engineering (RTESE'18) 2018.06 Avestia Publishing
Urban Carbon Dioxide Emission Inventory Developed by Bottom-up Approach

Richao Cong, Makoto Saito, Ryuichi Hirata, Akihiko Ito, Shamil Maksyutov, Tomohiro Oda

日本地球惑星科学連合大会予稿集(Web) 2018.05
Comparison of Global Greenhouse Gas Emissions Inventories on Anthropogenic Sources

CONG Richao, SAITO Makoto, HIRATA Ryuichi, ITO Akihiko, MAKSYUTOV Shamil

日本環境共生学会学術大会発表論文集(CD-ROM) 2017.09
Anthropogenic Carbon Dioxide Emissions in Tokyo Metropolis Estimated with a Combination of Top-down and Bottom-up Approach

Richao Cong, Makoto Saito, Ryuichi Hirata, Akihiko Ito, Shamil Maksyutov

18th Global Emissions InitiAtive, 2017 2017.09
The comparison analysis for various global greenhouse emissions inventories datasets

Richao Cong, Makoto Saito, Ryuichi Hirata, Akihiko Ito, Shamil Maksyutov

10th International Carbon Dioxide Conference, 2017 2017.08
Summary of Global Greenhouse Gas Inventory Databases

CONG Richao, SAITO Makoto, SENDA Masako, ITO Akihiko, MAKSYUTOV Shamil, HIRATA Ryuichi

日本地球惑星科学連合大会予稿集(Web) 2017.05
Optimal Solution on the Vehicle Routing Problems for Establishing the Plastic Waste Recycling System in Tianjin

Richao Cong, Toru Matsumoto

Joint Socio-Economic Metabolism conference and Asia-Pacific conference of the International Society for Industrial Ecology 2016.09
天津市における廃プラスチックリサイクルシステムの改善による環境負荷削減効果

叢日超, 松本亨

第11回日本LCA学会研究発表会 2016.03.03
Spatial Simulation and Environmental Analysis on the Improvement of the Waste Plastics Recycling System in Tianjin

Richao Cong, Toru Matsumoto, Wenchao Li

8th Biennial Conference of the International Society for Industrial Ecology 2015.07
Optimal Improvement of Waste Plastics Recycling System in Tianjin Based on Environmental Evaluation and GIS

Richao Cong, Toru Matsumoto, Takamasa Hayashi, Wenchao Li

The 11th International Conference on EcoBalance (EcoBalance 2014) 2014.10.29
GISを用いた天津市の廃プラスチック回収・再資源化システムの提案—Proposals on Waste Plastic Recycle System in Tianjin by Using GIS—日本環境共生学会第16回(2013年度)学術大会発表論文集

叢日超, 松本亨, 李文超

日本環境共生学会学術大会発表論文集 = Proceedings of Annual Meeting of Japan Association for Human and Environmental Symbiosis / 日本環境共生学会学術大会実行委員会編 2013.09 豊橋 : 日本環境共生学会
Estimation of Waste Plastics Flow in Tianjin and Life Cycle Assessment on Recycling Project

Richao Cong, Toru Matsumoto, Takamasa Hayashi, Changjun Wang, Yusuke Kikuchi

7th International Conference of the International Society for Industrial Ecology 2013.06
天津市における廃プラスチックの回収・再資源化によるCO2削減効果の推計

叢日超, 松本亨, 林孝昌, 王長君, 東信太郎

環境科学会2012年会 2012.09.14

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