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This Position Paper gathers the work carry out by the Multi-Actor Platform Pays Pyrénées Méditerranée in France. The document proposes public policy recommendations concerning the implementation of a territorial food project (TFP) as a smart tool for territorial transition within the framework of the EU's Long-Term Vision for Rural Areas and the regional programming of European funds, in a context marked in particular by (a) climate crisis, (b) new societal demands, and (c) the effects of the pandemic and the war in Ukraine.

This article presents the outcomes of a collaborative activity across four EU funded projects, under DT-FOF-09-2020 - Energy-efficient manufacturing system manage- ment, focused on establishing innovative ways and best practice for leveraging dig- ital technologies to implement more energy efficient manufacturing systems. The outcome of this work is the definition of a pathway towards energy efficiency that allows industry to understand their current situation and to stimulate the definition of a strategic road map to incorporate energy efficiency as a key criteria in operational and organisational decision making. This research presents the findings and the design of such a pathway.

Thin film photovoltaic (PV) devices are multi-component and multi-layer complex structures composed of an elevated number of micro- and nano-layers of different materials. As such, their performance is controlled by a large number of complexly intertwined variables associated to the characteristics of each layer and interface. Nevertheless, the main techniques for monitoring such complex systems remain to be limited to compositional and/or J-V analysis. The limitations of these techniques are one of the main bottlenecks for high-throughput development of novel materials and devices. Spectroscopic characterization techniques, such as Raman and photoluminescence (PL), are becoming widespread for advanced material characterization due to their easy application and highly informative output about different materials properties in a fast and non-destructive manner. Furthermore, the application of Artificial Intelligence for the analysis of spectroscopic data represents a powerful step forward that allows dealing with the high-dimensionality data generated from the combinatorial analysis of highly complex systems like thin film PV devices. However, in order to implement this type of advanced analyses effectively, appropriate methodologies need to be developed. In this work, we present a methodology based on the combination of spectroscopic techniques and Machine Learning (ML) for the fine monitoring of the quality of complex absorber layers as well as for the accurate prediction of optoelectronic parameters of thin film solar cells.

Conference paper on 5th annual conference of the European Social Simulation Association ESSA

The information bundled in this e-book is that of a 4-day course, formatted as a training school open to researchers, practicing engineers, etc., in fact, for all those who want to obtain profound starting knowledge on the structural application of alkali-activated concrete, also in the wider framework of circular concrete solutions.

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In this present work, mathematical investigation of different parameters affecting the precision of the output beam is carried out. These parameters include: Deflection in sun-facing lens and its holding arm, delay in updating the solar tracking system, and the flat mirror surface flatness. Moreover, relationships that describe the power lost due to the effect of each parameter are derived in this study.

This deliverable proposes a methodology to quantify the value of an energy efficiency improvement project or a portfolio of such projects, as a power grid resource. The main assumption is that a retrofit project can be regarded as a grid resource if it helps in either phasing out old, polluting power plants that are only kept commissioned for the provision of capacity reserves or reducing curtailment of renewable-based power generation to improve the grid’s hosting capacity for renewables

The “Drilling in dEep, Super-CRitical AMBient of continentaL Europe” (DESCRAMBLE) project is meant to drill in continental-crust, super-critical geothermal conditions, to test and demonstrate novel drilling techniques to control gas emissions, the aggressive environment and the high temperature/pressure expected from the deep fluids and to characterize the chemical and thermo-physical condition of the reservoir. The experiment is realized in Larderello, Italy, where supercritical resources are expected within a depth of 4 km. H2020

A convenient solution to increase energy density of conventional water thermal storage is with the use of encapsulated phase change materials that can be installed in the existing water tank through a flange. That kind of solution brings quick and pragmatic solution of energy density improvement but it leads to more complicated operation of thermal storage from state-of-charge point of view. The simulations can help in better understanding of thermal storage operating conditions. That is why the focus of present research is on simulations under different initial conditions with numerical model that was validated with measurement results. The investigation took place on water thermal storage tank with encapsulated phase change materials (PCM) that represented 30% of the thermal storage volume. The measurements of a 100 l water tank with 190 spherical capsules filled with PCM (hydrate salt mixture) were performed. The numerical model for latent thermal storages was used in TRNSYS environment and was adjusted according to the boundary and initial conditions of the experimental system and measurement conditions. The results of simulations were compared with the measurements in order to perform the validation of the numerical model. After successful validation, the simulations of different initial water temperatures to the thermal storage system were made in order to analyse its heat charge and discharge process. This work was supported by the Slovenian Research Agency through the research program P2-0223 and by the EU Research and Innovation programme Horizon 2020 under grant agreement No. 768921 – HEART (Holistic energy and Architectural Retrofit Toolkit). The authors would like to thank the European Commission and Slovenian Research Agency for enabling the funding. Additionally, special tanks goes to authors of Trnsys model, dr. Andreas Heinz and dr. Hermann Schranzhofer from TU Graz for sending us the model Type 840.