Publication date (electronic): 30 June 2015
Criticality in complex socio-technical systems:
An empirical approach
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.
Francisco-Mario Hernández-Tejera received a Ms degree in Electrical Engineering and a PhD degree in Computer Sciences. He is actually Full Professor in Computer Sciences and Artificial Intelligence in the University of Las Palmas de Gran Canaria (ULPGC). He is member of the Institute for Intelligent Systems and Numerical Applications in Engineering Ingeniería (SIANI) of the ULPGC as research fellow. His research interests are Artificial Intelligence and Machine Learning. Also does research in Intelligent Agents, Multiagent Systems and its Application for Modelling and Simulation, in problems related with energy efficiency and sustainable development, in particular with the evolution of the Electrical Grid towards the future Smart Grid. He has coauthored more than 50 research papers and more than 70 presentations in conferences and symposia. He has directed 10 research projects and has been the adviser of 13 PhD Thesis.
Jose Juan Hernandez was born in Spain in 1968. He received the B.E., M.E., and Ph.D. degrees from Universidad de Las Palmas de Gran Canaria, Canary Islands, Spain. Currently, he is professor in the faculty of Informatics at the Universidad de Las Palmas de Gran Canaria. Dr. Hernandez is a full-member of the Institute SIANI that belongs to the Universidad de Las Palmas de Gran Canaria. His main areas of research interest are software engineering, modelling languages, model driven engineering, simulation and artificial intelligence.
José Évora Gómez was born in Spain in 1987. He received the B.E., M.E., and Ph.D. degrees at Universidad de Las Palmas de Gran Canaria, Canary Islands, Spain. Currently, he is working in Monentia SL, Las Palmas de GC, Spain, a consultancy company that works deploying Smart City solutions in the R&D department. Dr. Évora is a collaborator of the Institute SIANI that belongs to the Universidad de Las Palmas de Gran Canaria. His main areas of research interest are software engineering, modelling languages, model driven engineering, simulation and artificial intelligence.
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.
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