EDF Lab Singapore Pte Ltd


Pablo Viejo is a graduated architect with expertise in Geographical Information Systems and Urban Planning. After studies in Spain (La Coruña) and Germany (Karlsruhe), he joined EIFER (Germany) in 2006 and EDF in 2012. In 2005 he got an excellence scholarship from the Spanish King Juan Carlos, funded by the bank La Caixa and the German International Exchange Program. Apart from his working experience in several Architecture offices, Pablo Viejo has being teaching at the Karlsruhe Institute of Technology courses about Geographical Information Systems and Planning. Its academic work includes publications in different domains, including energy systems modelling and simulation (mainly simulation of smart grids, micro grids and urban systems), renewable energy production and energy urban planning. From 2008 to 2011 was responsible of modelling and simulation projects in EIFER, and the creation of a new group in 2009, “Geosimulation for Energy Research”, where a dozen of researchers worked under Pablo’s responsibility on the development of geographically distributed models for simulation using complexity science approaches. Main topics of the group were the diffusion of technologies, the impact of electrical mobility on the load curve, energy demand on urban areas, integral simulation of energy systems or behavioral energy models. Between 2012 and 2014 Pablo was responsible of the project Sustainable Cities for EDF R&D in Singapore. The project brought together industrial partners and Singapore Government agencies, on the development of Sustainable Cities solutions. Since 2014 Pablo is in charge of EDF Lab Singapore Pte Ltd, being Head of the EDF Asian Sustainable Cities Center of Excellence, and of the development of different projects in Asia on the field of Sustainable Cities.

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Criticality in complex socio-technical systems:
Volume: 17, Issue 2
Critical regimes are present in all socio-technical systems. Usually, man-made systems are designed to avoid these regimes completely, and stay in a stable steady state to avoid uncertainty. However, complexity theory postulates that the edge of chaos, between order and disorder, provides highly interesting phenomena, such as emergence, which are important for the evolution of the system. In this paper we explore the edge of chaos through a concrete example in electrical energy systems. The exploration is done through simulation, which provides a valuable mean to perform massive experiments on large scale systems. The complexity residing at the edge is discussed, and external, system relevant and internal factors which are likely to shift this edge or drive the systems trajectory towards or away from it are introduced.