Abstract
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Abstract
This paper presents a structured approach to support the development of self-organized industrial symbiosis, the Toolkit for Industrial Symbiosis. Developed within MAESTRI project, it provides a set of tools and methods to help companies gain value from wasted resources and contributes to MAESTRI goal of advancing the sustainability of European manufacturing and process industry. A participatory approach was taken for its development. The ultimate objective of this work is to encourage companies to change their attitude and consider waste as a resource and potential source for value creation. © Springer Nature Switzerland AG 2019.

Abstract
Variable-speed pump power storage is an innovative large-scale technology that is being deployed across the world. In addition to price arbitrage and provision of downward replacement reserve, its operational flexibility enables the provision of frequency restoration reserve (FRR) both in turbine and pump modes. This work proposes a bidding optimization strategy for the participation in the FRR market. The proposed framework encompasses a medium-term module to optimally allocate the yearly natural water inflows, representation of electrical and hydraulic losses in the water inflow/power curves, as well as forecasting techniques to predict market prices and natural water inflows. Moreover, it does not assume prior knowledge of the amount of activated FRR capacity band. An evaluation module is also proposed to replicate the real operation of the power plant and enables an accurate calculation of the revenue. A comparison between fixed and variable-speed Pump storage power (PSP) units participating in the Iberian electricity market presented an increase in revenue of almost 12%. Due to the low liquidity of the FRR market in Portugal, and the considerable capacity of the PSP unit, under some specific situations, it might be necessary to cap the size of the FRR bid to decrease the difference between the expected and realized revenue.

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Education 4.0 is a new educational paradigm that intends to address the needs and potentialities of the fourth industrial revolution. Education 4.0 builds on the concept of learning by doing, in which students are encouraged to learn and discover different things in singular ways based on experimentation. This study intends to analyze the role of emerging technologies like serious games and industry 4.0 in the transformation of education 4.0 in higher education. A qualitative methodology was employed based on 25 case studies of innovative projects in Portuguese higher education institutions. The results indicate a residual adoption of serious games and gamification approaches only appear in less than 20% of the projects. It was also possible to identify that most projects involve several stakeholders such as teachers, students and university managers, and typically involve multidisciplinary competencies fields. The main benefits brought to the education context include greater involvement of students in projects, development of their skills and its application in a real context. On the other hand, the main challenges are the simplification of the real world made by these applications, the difficulties inherent to their inclusion in the didactical system and the limited capacities to offer greater interactivity without predefined external stimuli.

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This paper presents an AC optimal power flow (AC-OPF) model including flexible resources (FRs) to handle uncertain wind power generation (WPG). The FRs considered are thermal units with up/down re-dispatching capability, corrective topology control (CTC), and thyristor-controlled series capacitors (TCSC). WPG uncertainty has been modeled through a proposed interval-based robust approach, the goal of which is to maximize the variation range of WPG uncertainty in power systems while maintaining an adequate reliability level at a reasonable cost with the aid of FRs. However, utilization of FRs (especially CTC and TCSC devices) is limited due to the difficulty of their incorporation in the AC-OPF. The optimization framework of the full FR-augmented AC-OPF problem is a mixed-integer nonlinear programming (MINLP) in which the solution for large-scale systems is very hard to obtain. To solve this issue, this paper uses a two-stage decomposition algorithm to decompose the MINLP representation into a mixed-integer linear program (MILP) and a nonlinear program (NLP). Finally, the robust AC-OPF model with FRs is implemented and tested on a 6-bus and the IEEE 118-bus test systems to evaluate its efficiency and performance.

Abstract
European energy strategy towards decarbonization, and its practical implementations in the different EU countries, will imply a continuous increase of variable (non-dispatchable) renewable energy (VRE), like wind and solar PV generation. This increasing VRE along with the progressive closing of current greenhouse gas (GHG) emitting plants, will decrease the net demand (inflexible demand minus non-dispatchable generation), reducing the amount of dispatchable generation needed to face both low VRE periods and larger net demand ramps. These problems need to be assessed to anticipate possible mismatches between net demand values and ramps, and the available resources with generation and ramping capabilities, so that the security and quality of supply is guaranteed. In case of expected risk, regulatory mechanisms, such as new market clearing rules or incentives to new flexibility sources or to new generation and storage technologies, could be required. This paper looks at the possible evolution of the Portuguese power system focusing on the net demand ramp problem. The historical and expected evolution of the hourly ramps of the net demand are analyzed considering different scenarios of high wind and solar PV penetration, according to different degrees of convergence to the EU energy strategic objectives.