ERIGrid Holistic Test Description for Validating Cyber-Physical Energy Systems

Smart energy solutions aim to modify and optimise the operation of existing energy infrastructure. Such cyber-physical technology must be mature before deployment to the actual infrastructure, and competitive solutions will have to be compliant to standards still under development. Achieving this technology readiness and harmonisation requires reproducible experiments and appropriately realistic testing environments. Such testbeds for multi-domain cyber-physical experiments are complex in and of themselves. This work addresses a method for the scoping and design of experiments where both testbed and solution each require detailed expertise. This empirical work first revisited present test description approaches, developed a newdescription method for cyber-physical energy systems testing, and matured it by means of user involvement. The new Holistic Test Description (HTD) method facilitates the conception, deconstruction and reproduction of complex experimental designs in the domains of cyber-physical energy systems. This work develops the background and motivation, offers a guideline and examples to the proposed approach, and summarises experience from three years of its application.This work received funding in the European Community’s Horizon 2020 Program (H2020/2014–2020) under project “ERIGrid” (Grant Agreement No. 654113)

Innovation and failure in mechatronics design education

Innovative engineering design always has associated with it the risk of failure, and it is the role of the design engineer to mitigate the possibilities of failure in the final system. Education should however provide a safe space for students to both innovate and to learn about and from failures. However, pressures on course designers and students can result in their adopting a conservative, and risk averse, approach to problem solving. The paper therefore considers the nature of both innovation and failure, and looks at how these might be effectively combined within mechatronics design education

Integrated survey for the reconstruction of the Papal Basilica and the Sacred Convent of St. Francis in Assisi, Italy

The Papal Basilica and the Sacred Convent of Saint Francis in Assisi in Italy are characterized by unique and composite particularities that need an exhaustive knowledge of the sites themselves to guarantee visitor's security and safety, considering all the people and personnel normally present in the site, visitors with disabilities and finally the needs for cultural heritage preservation and protection. This aim can be reached using integrated systems and innovative technologies, such as Internet of Everything (IoE), which can connect people, things (smart sensors, devices and actuators; mobile terminals; wearable devices; etc.), data/information/knowledge and processes to reach the wanted objectives. The IoE system must implement and support an Integrated Multidisciplinary Model for Security and Safety Management (IMMSSM) for the specific context, using a multidisciplinary approach. The purpose of the paper is to illustrate the integrated survey for the reconstruction of the considered site that was necessary to obtain all the necessary information to start to set up the considered IMMSSM and the related IoE based technological system

Foundations of Cryptoeconomic Systems

Blockchain networks and similar cryptoeconomic networks aresystems, specifically complex systems. They are adaptive networkswith multi-scale spatiotemporal dynamics. Individual actions towards a collective goal are incentivized with "purpose-driven" tokens. These tokens are equipped with cryptoeconomic mechanisms allowing a decentralized network to simultaneously maintain a universal state layer, support peer-to-peer settlement, andincentivize collective action. These networks therefore provide a mission-critical and safety-critical regulatory infrastructure for autonomous agents in untrusted economic networks. They also provide a rich, real-time data set reflecting all economic activities in their systems. Advances in data science and network sciencecan thus be leveraged to design and analyze these economic systems in a manner consistent with the best practices of modern systems engineering. Research that reflects all aspects of these socioeconomic networks needs (i) a complex systems approach, (ii) interdisciplinary research, and (iii) a combination of economic and engineering methods, here referred to as "economic systems engineering", for the regulation and control of these socio-economicsystems. This manuscript provides foundations for further research activities that build on these assumptions, including specific research questions and methodologies for future research in this field.Series: Working Paper Series / Institute for Cryptoeconomics / Interdisciplinary Researc

Using an MBSE approach for automation control system selection in long steel products hot rolling plants

Abstract: Automation systems in long steel products hot rolling plants are prone to performance failures with the potential of serious negative impact on the business. The selection process of these automation systems therefore requires careful consideration of various selection factors to maximize plant performance. The need was therefore identified to investigate the use of a suitable management approach to guide engineering automation teams in the long steel products hot rolling plants in the selection of automation systems. At the core is the need for an in-depth understanding of the issues surrounding distributed and hierarchical automation systems in long steel products plants. This includes identifying the challenges during the selection process, using sound engineering management principles. Current automation selection techniques were investigated through a survey, interviews and a case study. It was then decided to use a Model Based Systems Engineering (MBSE) approach, which utilises systems engineering principles together with digital technology to create models to simplify the understanding of complex problems and relationships. This was then used to develop a management framework for automation systems selection in support of the business case of long steel products hot rolling plants