Objective
Soiling (i.e. the accumulation of dust on photovoltaic modules) is an issue affecting photovoltaic (PV) systems worldwide and causes significant economic losses. An appropriate cleaning schedule can raise the energy yield of the PV modules and reduce the operating costs, increasing the revenues and, at the same time, limiting the need of non-renewable energy generation. NoSoilPV aims to tackle this issue by developing a smart method capable of quantifying the soiling accumulated on the PV modules in real time without the need of expensive additional hardware. Moreover, through the analysis of historical precipitation datasets and the use of weather prediction models, the algorithm developed in this project will predict the economic impact of soiling and notify at which time artificial cleanings should be performed in order to minimize costs and maximize the energy production.
NoSoilPV will be conducted by Dr. Leonardo Micheli within the Centre for Advanced Studies in Energy and Environment (CEAEMA) of the University of Jaén (Spain). CEAEMA is an ideal environment for this project, which involves PV performance analysis, weather and dust prediction modelling and machine learning techniques, because of the high quality research conducted in PV and in all the multidisciplinary aspects of the project. NoSoilPV aims to answer a number of unsolved questions in soiling and to provide the community a useful tool to increase the energy production and the economic revenues. The project will support the EU in its effort to increase the clean energy share and to maximize material efficiency, leading to an increase in PV energy yield, without the installation of new modules or systems. In addition, this fellowship will favor the EU reintegration of Dr. Micheli and will give him the opportunity to enhance his career as an independent researcher.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences earth and related environmental sciences atmospheric sciences meteorology
- natural sciences computer and information sciences artificial intelligence machine learning
- engineering and technology environmental engineering energy and fuels renewable energy solar energy photovoltaic
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
23071 JAEN
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.