University College of Engineering
Oscar Barambones was born in Vitoria, Spain in 1973. He received the M.Sc. degree in applied physics, the Ph.D. degree in control systems and automation, and the M.Sc. degree in electronic engineering, from the University of the Basque Country in 1996, 2000 and 2001, respectively. Since 1999 he has held several teaching positions at the Systems Engineering and Automation Department in the Basque Country University, where he is currently a Professor of systems and control engineering. He has also been the Vice Dean of Research and master in the University College of Engineering of Vitoria from 2009 to 2013. He has more than 150 papers published in the international conferences, book chapters, and journals. He has served as reviewer in several international journals and conferences, and has supervised several Ph.D. theses.
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Agent based modelling of local energy networks as instances of complex infrastructure systems
Volume: 17, Issue 2
Attempts to model the present and future power networks face a huge challenge because it is a complex system, integrated by generation, distribution, storage and consumption subsystems, and using various control and automation computing systems. Moreover,in order to address the crucial issues of energy efficiency, additional processes like energy conversion and storage, and further energy carriers, such as gas, heat, etc., besides the electrical one, must be considered. In order to simulate those networks, a fully integrated agent-based model, provided with enhanced nodes or conversion points, able to deal with multidimensional flows, is presented in this article. Moreover a way to try to extend it to cover infrastructure networks is outlined.
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.