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Dr. Yoshiki Yamagata

Principal Researcher, Center for Global Environmental Research

National Institute for Environmental Studies

Sustainable Urban Systems Design Approach Integrating Building, Transport and Human Energy Use Models


World's major cities need to be decarbonized to mitigate the climate change by 2050. Over 150 cities in Japan have already announced to decarbonize the cities. Now, their additional new challenge is how COVID-19 heavily impacted cities can be recovered to realize sustainable cities in the After-Corona era. For that purpose, we are developing a new urban systems design approach for sustainable cities in the after-corona situations. We simulate and visualize the future cities considering human behavior changes regarding building and mobility energy uses in the cities.

Short Bio:

YOSHIKI YAMAGATA graduated from the University of Tokyo (PhD in System Science) in 1985. Since 1991, he works at the National Institute for Environmental Studies (NIES). He is also afflicted as a visiting scholar at International Institute for Applied Systems Analysis (IIASA, Vienna) and Institute of Statistical Mathematics (ISM, Tokyo). His recent research topics include: Land use scenario analysis, Urban resilience modeling, Urban systems design for smart communities.

Prof. Markus Kraft

Department of Chemical Engineering and Biotechnology

Churchill College Cambridge

Intelligent Decarbonisation of Cities


Cities are rapidly changing as they strive to accommodate the further 2.5 billion people that will be living in urban areas by 2050. Managing this dynamic means harmonising internal conflicting demands – be it for housing, business, leisure, mobility, energy, or ecology – as well as managing external shocks. Data on every aspect of everyday city life is rapidly growing in volume (generating ‘big data’), diversity of sources (from mobile phone to satellite) and variety of types (demographic, spatial, temporal). New ways of managing that data are needed to improve city planning knowledge.

In my talk I shall investigate how such diverse kinds of data can be made mutually legible by developing a semantic, extendible representation of relationships between them, what is known as a knowledge graph. This process, if demonstrated, will help planners and designers generate more reliable information and knowledge about cities – sites, neighbourhoods, areas or systems – and how they change. The knowledge graph we are currently developing together with a team from ETH Zurich builds on the J-Park Simulator (JPS) which is the signature project in the C4T programme of CARES at the University of Cambridge and part of the project. JPS consists of a network of IRIs comprising domain ontologies, a knowledge base and different types of agents. One important application is the modelling and optimisation of eco-industrial parks. This includes the electrical grid, various networks of materials, for example, waste heat network along with a detailed model of each industrial process. In my talk, I shall explain how JPS works, show a couple of use cases, and explain how we shall use Knowledge Graph technology for the planning of future cities.

Short Bio:

Prof. Markus Kraft is a Fellow of Churchill College Cambridge and Professor in the Department of Chemical Engineering and Biotechnology. He is the director of CARES, the Singapore-Cambridge CREATE Research Centre, and Principle Investigator of C4T the “Cambridge Centre for Carbon Reduction in Chemical Technology”, which is a CARES research programme. Professor Kraft obtained the academic degree 'Diplom Technomathematiker' at the University of Kaiserslautern in 1992 and completed his Doctor rerum naturalium in Chemistry at the same University in 1997. Subsequently, he worked at the University of Karlsruhe and the Weierstrass Institute for Applied Analysis and Stochastics in Berlin. In 1999 he became a lecturer in the Department of Chemical Engineering, University of Cambridge. In 2012 he obtained a ScD form the same University. He has a strong interest in the area of computational modelling and optimisation targeted towards developing CO2 abatement and emissions reduction technologies for the automotive, power and chemical industries.

Prof. Gordon Huang

Tier 1 Canada Research Chair and Executive Director of Institute for Energy and Environment

University of Regina

Optimization modeling of Energy and environmental systems: A Canadian case


Canada has committed to reduce its carbon emissions by 30% below 2005 level by 2030 under the Paris Agreement. This commitment is resulting in severe socio-economic impacts, and exacerbated the vulnerability of energy sectors in emission-intensive provinces and territories (e.g. Alberta and Saskatchewan). Previously, many efforts were made in examining how Canada, especially western provinces, could meet the national target without seriously damaging the country’s socio-economic systems. A systematic approach would be vital to achieve desired compromises among multiple regions and sectors, as well as cost-effective actions for emission mitigation. Therefore, this study aimed at developing non-deterministic energy systems optimization models within Canadian contexts. Approaches of stochastic and fuzzy programming were integrated into the modeling framework, and thus uncertainties and risks in various energy and environmental activities were tackled. Trade-offs between minimized abatement costs and maximized socio-economic benefits were reflected. Interactive relationships among multiple jurisdictions and socio-economic sectors were addressed to support multidimensional co-operations in emission reductions. Specifically, GHG emissions from various sectors within multiple jurisdictions were investigated, and the associated constraints, targets and embedded risks were examined. Scenarios involving carbon tax, abatement means, efficiency expectation and technology alternative were designed to reflect the uncertainties and risks among multiple policy options. The modeling results would help support the management of Canadian energy systems with enhanced resilience to the national commitment to the Paris Agreement. Thus, desired policies could then be formulated.

Short Bio:

Gordon Huang is Tier 1 Canada Research Chair and Executive Director of Institute for Energy and Environment at University of Regina, Canada. He holds BSc from Peking University, and PhD from McMaster University (Canada). He has led over 200 energy- and environment-related projects, produced over 1000 SCI journal papers with an SCI-based H-index of 70, and supervised over 100 graduate students with Over 40 of them appointed as university faculty members (in Canada, USA, China, UK, Singapore, Hongkong). He is Fellow of Canadian Academy of Engineering, President of ISEIS, and editor-in-chief or board member for over 10 SCI journals.



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