Explore the words cloud of the ENERGYA project. It provides you a very rough idea of what is the project "ENERGYA" about.
The following table provides information about the project.
Coordinator |
UNIVERSITA CA' FOSCARI VENEZIA
Organization address contact info |
Coordinator Country | Italy [IT] |
Project website | http://www.energy-a.eu/ |
Total cost | 1˙495˙000 € |
EC max contribution | 1˙495˙000 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2017-STG |
Funding Scheme | ERC-STG |
Starting year | 2018 |
Duration (year-month-day) | from 2018-03-01 to 2023-02-28 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | UNIVERSITA CA' FOSCARI VENEZIA | IT (VENEZIA) | coordinator | 1˙082˙187.00 |
2 | FONDAZIONE CENTRO EURO-MEDITERRANEOSUI CAMBIAMENTI CLIMATICI | IT (LECCE) | participant | 412˙812.00 |
ENERGYA will improve our understanding of how energy and energy services can be used by households and industries to adapt to the risk posed by climate change. Specifically, the project will develop an interdisciplinary and scalable research framework integrating data and methods from economics with geography, climate science, and integrated assessment modelling to provide new knowledge concerning heterogeneity in energy use across countries, sectors, socioeconomic conditions and income groups, and assess the broad implications adaptation-driven energy use can have on the economy, the environment, and welfare. The key novelty of ENERGYA is to link energy statistics and energy survey data with high spatial resolution data from climate science and remote sensing, including high-resolution spatial data on meteorology, population and economic activity distribution, electrification, and the built environment. ENERGYA has three main objectives. First, it will produce novel statistical and econometric analyses for OECD and major emerging countries (Brazil, Mexico, India, and Indonesia) to shed light on the underlying mechanisms driving energy use. Second, it will infer future potential impacts from long-run climate and socioeconomic changes building on historical empirical evidence. Third, it will analyse the macro and distributional implications of adaptation-driven energy use with an economy-energy model characterising the distribution of energy use dynamics across and within countries. Given the central role of energy as multiplier for socioeconomic development and as enabling condition for climate resilience, the research proposed in ENERGYA will result in timely insights for the transition towards sustainability described by the Sustainable Development Goals adopted by the United Nations as well as the Paris International Climate Agreement.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
Enrica De Cian, Filippo Pavanello, Teresa Randazzo, Malcolm N. Mistry, Marinella Davide Households’ adaptation in a warming climate. Air conditioning and thermal insulation choices published pages: 136-157, ISSN: 1462-9011, DOI: 10.1016/j.envsci.2019.06.015 |
Environmental Science & Policy 100 | 2019-10-29 |
2019 |
Malcolm Mistry A High-Resolution Global Gridded Historical Dataset of Climate Extreme Indices published pages: 41, ISSN: 2306-5729, DOI: 10.3390/data4010041 |
Data 4/1 | 2019-10-29 |
2019 |
Bas J. van Ruijven, Enrica De Cian, Ian Sue Wing Amplification of future energy demand growth due to climate change published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-019-10399-3 |
Nature Communications 10/1 | 2019-10-29 |
2019 |
Marinella Davide, Enrica De Cian, and Alexis Bernigaud Building a Framework to Understand the Energy Needs of Adaptation published pages: , ISSN: 2071-1050, DOI: 10.3390/su11154085 |
Sustainability 11 (15) | 2019-10-29 |
2019 |
Malcolm N. Mistry Historical global gridded degreeâ€days: A highâ€spatial resolution database of CDD and HDD published pages: , ISSN: 2049-6060, DOI: 10.1002/gdj3.83 |
Geoscience Data Journal | 2019-10-28 |
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The information about "ENERGYA" are provided by the European Opendata Portal: CORDIS opendata.
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