Imperial College London

DrKoenVan Dam

Faculty of EngineeringDepartment of Chemical Engineering

Research Fellow



+44 (0)20 7594 5705k.van-dam Website




453AACE ExtensionSouth Kensington Campus






Koen van Dam is a Research Fellow at Imperial College London in the Urban Energy Systems group. His contributions focus on developing agent-based models of city systems based on spatial and temporal data from multiple sectors, focusing on energy and transport sectors at different scales from individual building to the national level. Such models can then be used to experiment with the impact of local interventions on system-level performance, providing valuable decision support for the design of new services, technologies and policies.

Previously, Koen worked as post-doc in the Energy & Industry group at the faculty of Technology, Policy and Management of the Delft University of Technology (TU Delft). He was visiting researcher in the Urban Energy Systems project at Imperial College as well as at the Department of Chemical and Biomolecular Engineering of the National University of Singapore. He was also the president of Eurodoc, the European council for doctoral candidates and young researchers, and board member of other organisations representing early stage researchers.

After obtaining his pre-university (VWO) high school diploma at the Goois Lyceum in Bussum he studied for his MSc degree in Artificial Intelligence at the Vrije Universiteit in Amsterdam. He graduated with a specialisation in Knowledge Engineering. On the 30th of October 2009 he successfully defended his PhD thesis "Capturing socio-technical systems with agent-based modelling" and was awarded a doctorate from TU Delft.



Wang X, van Dam KH, Triantafyllidis C, et al., 2019, Energy-water nexus design and operation towards the sustainable development goals, Computers & Chemical Engineering, Vol:124, ISSN:0098-1354, Pages:162-171

Mazur C, Hoegerle Y, Brucoli M, et al., 2019, A holistic resilience framework development for rural power systems in emerging economies, Applied Energy, Vol:235, ISSN:0306-2619, Pages:219-232

Noor S, Yang W, Guo M, et al., 2018, Energy Demand Side Management within micro-grid networks enhanced by blockchain, Applied Energy, Vol:228, ISSN:0306-2619, Pages:1385-1398

Kis Z, Koppelaar RHEM, Sule MN, et al., 2018, Framework for WASH sector data improvements in data-poor environments, applied to Accra, Ghana, Water, Vol:10, ISSN:2073-4441


Noor S, Guo M, van Dam KH, et al., 2018, Energy demand side management with supply constraints: Game theoretic approach, Applied Energy Symposium and Forum on Renewable Energy Integration with Mini/Microgrid Systems (REM), Elsevier, Pages:368-373, ISSN:1876-6102

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