Evaluation of Smart Grid projects for inclusion in the third Union-wide list of Projects of Common Interest: Evaluation of candidate projects in the TEN-E priority thematic area of smart grids deployment

The document presents the outcome of the evaluation process of candidate Projects of Common Interest in the priority thematic area of ‘smart grids deployment’, as set out in the trans-European energy infrastructure regulation. The evaluation follows the guidelines of the assessment framework for smart grid Projects of Common Interest, 2017 update, developed by the JRC and adopted by the smart grid Regional Group. The report aims to assist the smart grids Regional Group in proposing projects of common interest in the area of smart grids deployment to be included in the 3rd Union list of Projects of Common Interest.JRC.C.3-Energy Security, Distribution and Market

Cost-benefit analysis of Smart Grid projects: Isernia: Costs and benefits of Smart Grid pilot installations and scalability options

Smart Grid pilot projects and their assessment through a cost-benefit analysis are crucial to ensure that Smart Grid and Smart Metering roll-out are economically reasonable and cost-effective. Analysing the Isernia pilot project, the key result of the investigation is that an extra remuneration for such ambitious projects has been crucial in turning the Distribution System Operator’s Return on Investment (RoI) positive.JRC.C.3-Energy Security, Distribution and Market

A Smart Grid for the city of Rome: A Cost Benefit Analysis

In this work, the JRC applies its Smart Grid CBA methodology to a full-scale project rather than only to a small-size demonstrative one. To this end, the JRC and ACEA - one of Italy’s biggest Distribution System Operators (DSOs), in charge of managing the distribution system of Rome - teamed up to study the merits of deploying Smart Grid technologies (preliminarily tested in a pilot project) in a big city like the Italian capital, hosting several million electricity users. The ACEA Smart Grid Pilot Project (named "Malagrotta" after the area where pilot solutions were first realised) is the starting point for this study, as it displays many of the characteristics of emerging Smart Grids projects and interconnects several diversified generation facilities (like biogas, waste-to-electricity and PV plants) and consumption centres. This study illustrates the outcome of the application of the JRC Cost Benefit Analysis (CBA) to a) the ACEA Smart Grids pilot project; and b) the planned deployment of Smart Grid technologies (tested in the ACEA Smart Grids pilot project) to the whole of the city of Rome. The CBA is conducted from both the private investor’s and the societal perspective, in order to assess whether scaling up the Smart Grid pilot project benefits the distribution operator and the citizens. Finally, this report shows how the JRC's CBA methodology can be effectively used to assess the financial and economic viability of real Smart Grids projects and help the investment decisions of DSOs.JRC.F.3-Energy Security, Systems and Marke

A machine-learning based bio-psycho-social model for the prediction of non-obstructive and obstructive coronary artery disease

Background: Mechanisms of myocardial ischemia in obstructive and non-obstructive coronary artery disease (CAD), and the interplay between clinical, functional, biological and psycho-social features, are still far to be fully elucidated. Objectives: To develop a machine-learning (ML) model for the supervised prediction of obstructive versus non-obstructive CAD. Methods: From the EVA study, we analysed adults hospitalized for IHD undergoing conventional coronary angiography (CCA). Non-obstructive CAD was defined by a stenosis < 50% in one or more vessels. Baseline clinical and psycho-socio-cultural characteristics were used for computing a Rockwood and Mitnitski frailty index, and a gender score according to GENESIS-PRAXY methodology. Serum concentration of inflammatory cytokines was measured with a multiplex flow cytometry assay. Through an XGBoost classifier combined with an explainable artificial intelligence tool (SHAP), we identified the most influential features in discriminating obstructive versus non-obstructive CAD. Results: Among the overall EVA cohort (n = 509), 311 individuals (mean age 67 ± 11 years, 38% females; 67% obstructive CAD) with complete data were analysed. The ML-based model (83% accuracy and 87% precision) showed that while obstructive CAD was associated with higher frailty index, older age and a cytokine signature characterized by IL-1β, IL-12p70 and IL-33, non-obstructive CAD was associated with a higher gender score (i.e., social characteristics traditionally ascribed to women) and with a cytokine signature characterized by IL-18, IL-8, IL-23. Conclusions: Integrating clinical, biological, and psycho-social features, we have optimized a sex- and gender-unbiased model that discriminates obstructive and non-obstructive CAD. Further mechanistic studies will shed light on the biological plausibility of these associations. Clinical trial registration: NCT02737982

Una Smart Grid per la città di Roma

Smart grids represent a key element in the development of Smart Cities and promise to drastically change the way electricity is generated, exchanged and traded. The Joint Research Centre of the European Commission has for long observed, simulated and evaluated the developments of smart grids in Europe with new methodologies, embedded software e dedicated laboratories. As reported in a previous work from the JRC "Smart Grids Project Outlook 2014" (http://ses.jrc.ec.europa.eu/smart-grids-observatory), investments in Smart Grids have increased much in the last 10 years, exceeding €3 billion in Europe alone with over 450 projects among research, development, demonstration and diffusion. However, key questions remain to be answered: is investing in Smart Grids worth the cost? Is there a business case for scaling up locally tested Smart Grid solutions to wider cities? To what extent can citizens benefit from such innovation? Consistent with its mission of providing science-based support to policy makers, the JRC has developed a reference methodology for Cost-Benefit Analysis (CBA) of Smart Grids, with the wider aim of covering socio-economic impacts of Smart Grid projects.JRC.F.3-Energy Security, Systems and Marke

Identification of Projects of Common Interest in the priority thematic area of smart grids deployment

The document presents the outcome of the evaluation process of candidate Projects of Common Interest in the priority thematic area of ‘smart grids deployment’, as set out in the trans-European energy infrastructure regulation. The evaluation follows the guidelines of the assessment framework for smart grid Projects of Common Interest, 2017 update, developed by the JRC and adopted within the smart grid thematic group. The report aims to assist the smart grids thematic group in proposing projects of common interest in the area of ‘smart grids deployment’ to be included in the 4th Union list of Projects of Common Interest.JRC.C.3-Energy Security, Distribution and Market