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Milan, Italy

Grant
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: LCE-02-2014 | Award Amount: 4.95M | Year: 2015

It has been proven that the only realistic path to close the gap between theoretical and practical ultra-high efficiency solar cells is the monolithic multi-junction (MJ) approach, i.e. to stack different materials on top of each other. Each material/sub solar cell converts a specific part of the suns spectrum and thus manages the photons properly. However, large area multi-junction cells are too expensive if applied in standard PV modules. A viable solution to solve the cost issue is to use tiny solar cells in combination with optical concentrating technology, in particular, high concentrating photovoltaics (HCPV), in which the light is concentrated over the solar cells more than 500 times. The combination of ultra-high efficient cells and optical concentration lead to low cost on system level and eventually to low levelised electricity costs, today well below 8 cent/kWh and at the end of this project below 5 cent/kWh. Therefore, to achieve an optimised PV system (high efficiency, low cost and low environmental impact), world-wide well-known partners in the field of CPV technology propose this project to run and progress together the development of highly-efficient MJ solar cells and the improvement of the concentrator (CPV module) technique. The central objective of the project is to realise HCPV solar cells and modules working at a concentration level 800x with world record efficiency of 48 % and 40 %, respectively, hence bringing practical performances closer to theoretical limits. This should be achieved through novel MJ solar cell architectures using advanced materials and processes for better spectral matching as well as through innovative HCPV module concepts with improved optical and interconnection designs, thus including novel light management approaches. The ambition for this project is not less than to achieve the highest efficiencies on solar cell and module level world-wide, thus Europe will be the top player for the CPV-technology.


Grant
Agency: Cordis | Branch: H2020 | Program: CSA | Phase: LCE-20-2014 | Award Amount: 2.05M | Year: 2015

Residential energy consumption represents the 28% of all EU consumption and if commercial buildings are also considered this percentage increases to 40% (36% of EU CO2 emissions). In this context, is clear that the reduction of consumption in the residential sector should play an important role in energy efficiency programmes and policies as is stated in the recent Energy Efficiency Directive 2012/27/EU. Most energy efficiency measures implemented in Europe involved technological interventions. In contrast, everyday energy-consuming behaviours are largely habitual and therefore the potential of energy savings at home with actions focused in consumer behaviour is really promising. In this context the provision of feedback to consumers has resulted in really promising results, achieving savings in the range of 5-20%. But some limitations exists. The aim of this project is to fill the gaps and advanced in this context, being an essential preparatory activity for the future large scale demonstration of feedback methodologies. The key aim of this project is to develop an advanced and integral user-centred framework for the implementation of efficient energy feedback programmes in the domestic area. Our approach relies in the complete characterisation of the EU energy consumer, and the design of specific personalised actions tailored to each consumer pattern detected based on the use of natural language and emotional contents. NATCONSUMERS will set the scenario to allow strengthening the dialogue between the EU energy system stakeholders in order to define robustness methodologies exploiting to the maximum the potential of energy feedback approaches, filling the existing gaps not still covered by previous pilots and experiments. NATCONSUMERS consortium brings together representatives of all stakeholders and areas involved in the project. A concise dissemination and awareness programme is proposed to reach the target communities and increase the impact of the project.


The overarching objective of EU-MERCI is to support, in a coordinated way, the growth of energy efficiency in industry processes. It will develop methods and tools for assisting EU industry in the effective implementation of energy efficiency improvements and in the monitoring of the energy savings, in application of the 2012/27/EU Directive. The methodology will be based on the analysis of thousands real energy efficiency projects implemented according with the current energy policies and measures in different MSs and dealing with tenths of different industry sectors and processes. Energy efficiency solutions will be typified according with agreed criteria concerning applications, processes and technologies: best practices, algorithms and procedures of efficiency assessment will be derived, harmonized and standardized. The goal is to answer the questions: what are the most effective actions improving the efficiency in a particular process or industry sector? How to specifically implement them? What are the most promising technologies? What is the efficiency improvement attainable with each action? How to measure, monitor and report the savings? What are the associated costs? EU-MERCI, with recommendation and specific dissemination actions, will also assist policy makers and public authorities in the assessment of the effectiveness and transparency of the mechanisms, giving them also a picture of the technologies and efficiency improvements to incentive. Lessons learned from countries with consolidated energy efficiency schemes in place will be transferred to countries less advanced. The outputs of EU-MERCI will be specifically validated for the agrifood industry at a pan-European level. Finally, it is expected that, as a result of the assistance to industry, the number and effectiveness of energy efficiency improvements will greatly increase, thus contributing to the attainment of the EU and national energy goals.


Grant
Agency: Cordis | Branch: H2020 | Program: IA | Phase: SCC-01-2015 | Award Amount: 28.05M | Year: 2016

Sharing Cities has four key objectives. 1) To achieve scale in the European smart cities market by proving that properly designed smart city solutions, based around common needs, can be integrated in complex urban environments. This will be done in a way that exhibits their true potential and allows for the significant scale-up and consequent increase in social, economic and environmental value. 2) Adopt a digital first approach which proves the extent to which ICT integration can improve and connect up existing infrastructure, as well as the design and running of new city infrastructure. This will also allow for the creation of a new set of next stage digital services which will help citizens make better and beneficial choices around energy efficiency and mobility, which when scaled up will enhance the citys ability to hit key targets for mobility, housing, energy efficiency and resilience, and economic development. 3) Accelerate the market to understand, develop and trial business, investment and governance models, essential for the true aggregation and replication (through collaboration) of smart city solutions in cities of different sizes and maturities. In doing this, we intend to accelerate the pace by which we make transformative improvements, and enhance sustainability in communities. 4) Share and collaborate for society: to respond to increasing demand for participation; to enhance mechanisms for citizens engagement; to improve local governments capacity for policy making and service delivery through collaboration and co-design; resulting in outcomes that are better for citizens, businesses and visitors. These will be delivered by a range of expert partners across 8 work packages.


Alessandrini S.,RSE SpA | Sperati S.,RSE SpA | Pinson P.,Technical University of Denmark
Applied Energy | Year: 2013

Wind power forecasting (WPF) represents a crucial tool to reduce problems of grid integration and to facilitate energy trading. By now it is advantageous to associate a deterministic forecast with a probabilistic one, in order to give to the end-users information about prediction uncertainty together with a single forecast power value for each future time horizon. A comparison between two different ensemble forecasting models, ECMWF EPS (Ensemble Prediction System in use at the European Centre for Medium-Range Weather Forecasts) and COSMO-LEPS (Limited-area Ensemble Prediction System developed within COnsortium for Small-scale MOdelling) applied for power forecasts on a real case in Southern Italy is presented. The approach is based on retrieving meteorological ensemble variables (i.e. wind speed, wind direction), using them to create a power Probability Density Function (PDF) for each 0-72. h ahead forecast horizon. A statistical calibration of the ensemble wind speed members based on the use of past wind speed measurements is explained. The two models are compared using common verification indices and diagrams. The higher horizontal resolution model (COSMO-LEPS) shows slightly better performances, especially for lead times from 27 to 48. h ahead. For longer lead times the increase in resolution does not seem crucial to obtain better results. A deterministic application using the mean of each ensemble system is also presented and compared with a higher resolution 0-72. h ahead power forecast based on the ECMWF deterministic model. It is noticeable that, in a deterministic approach, a higher resolution of the ensemble system can lead to slightly better results that are comparable with those of the high resolution deterministic model. © 2013 Elsevier Ltd. Source

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