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| Urban energy system modelling of distribution grids to plan, monitor and nowcast the spatiotemporal variability of the electric consumption
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 Image Removedstakeholders in the public health domain, private companies and research institutions
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| Urban planners, grid operators, industrials, aggregator for energy trading, researchers in Energy and Urban planning and citizens |
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| name | Taxonomy |
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- Energy & mineral resources / renewable energy
- Urban development / smart cities
- Environment climate & health / meteo and climate
- Financial & digital services / insurance and real estate
- Infrastructure & transport / construction
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| name | User profile |
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| id | 2047532054 |
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| Target users include: - Urban planners
- grid operators
- industrials
- aggregator for energy trading
- researchers in Energy and Urban planning
- citizens
We create and provide data solutions for the farmers and industries that farmers rely on. Farmers, agri-cooperatives, agri-consultants, smart farming service providers, insurance organizations and companies, food & beverage companies, CAP stakeholders (farmers and paying agencies), traders and trading companies are some of already engaged users or potential users/consumers. Usage of alpha version of Agrowth in the current running cultivation period for the cotton in Greece from several users: - Neuropublic - Gaia Epixirein | Agri-consultants
- Farmers Cooperative of Orchomenos
- Cotton Farsala | Farmers Cooperative
- Farmers Cooperative of Thessaly "THESgi"
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| id | 2047532055 |
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| EarlY WArning System for Mosquito borne Diseases EYWA, developed in the context of EuroGEO is a niche state-of-the-art toolthat distils EO data, advanced epidemiological and entomological modelling, and ML big data analytics.The uniqueness of the system can be summarised in the following distinguishing features. It delivers an operational solution, suggesting day to day prevention and door-to-door mitigation actions, as well as targeted surveillance and mosquito control operations that, undoubtedly, lead to the minimization of the entomological risk and the aversion of human cases in thousands of villages where the system has been already implemented. The technological innovation of the system builds upon the development of standards for efficient handling of multiple entomological, epidemiological data and ancillary geospatial data, along with advanced dynamic and data driven models, to extract knowledge on the dynamics of mosquitoes’ abundance and diseases’ transmission. It is a generic, transferable and validated solution in support of the Public Health Authorities and citizens. The common denominator of the different models is the use of big Earth Observation data from Copernicus missions and Core Services. They reliably depict and inform on the dynamics in biodiversity, climatic effects, habitats and breeding sites. Hence, EYWA exploits European innovation and investments and leverages European Exploitation platforms empowered by cloud storage and processing capacities as DIAS. The system is already operational in 10 regions in 5 European countries at a TRL 9. Image Removed
Rooftop PV systems in urban areas are very interesting because they do not emit air pollutants nor GHGs during their exploitation, they produce electricity where this electricity is consumed, and they add value to unused urban roofs and parking shades and may reduce urban heat island effect. But, due to complex shading effects in urban context (vegetation, surrounding buildings, superstructures of roofs, etc.) and local atmospheric and meteorological effects, their massive penetration in urban areas will induce a significant variability in space and in time in the energy injected in the electric grid. As far as the electric demand side is concerned, a detailed modelling of energy requirements from residential, commercial, and industrial buildings with varying demand profiles for electricity is also required. Therefore, there is a need, in urban area, for Geographical Information System (GIS)-like tool for grid operators, urban planning decision makers, industries, aggregators for solar energy trading, citizen (PV self-consumption) and researchers. This GIS-tool is meant to provide an urban energy system modelling of distribution grids to plan, monitor and nowcast (i.e. and short term forecast) the spatiotemporal variability of the electric consumption on one hand and of the production of fleet of PV rooftop systems on the other hand. Existing GIS-tools for the Nantes (F) and Oldenburg (D) areas will be enhanced by new satellite-based datasets. The cost/benefit of using satellite-based data will be assessed in several specific use cases.
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The EYWA initiative service has been well received by various stakeholders in the Public Health domain as well as private companies and research institutions from countries around the Globe (Greece, Italy, Serbia, Germany, USA, Brazil, India) with 32 letters of intent/support having been received from them. demonstrated and assess by 40 professional in the solar rardiation domain during the 9thedition of the solar training co-organized by Soda Transvalor and MINES ParisTech ARMINES. A live recording video of this session is available here:
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- Historical analysis of PV variability (case #1)
- Usage: PV self consumption (sizing individual systems, In Sun We Trust)
- Historical analysis of PV variability (case #2)
- Usage : Simulated PV injection in different source points of the electric grid for different scenarios of PV penetration (for DSO, e.g. ENEDIS)
- PV nowcasting and short-term forecasting (case #3)
- Usage: Energy trading with portfolio of PV rooftop systems
More than 80% of the global population lives in areas at risk of at least one major Vector-Borne Disease (VBD), with more than 700.000 deaths at a global scale (WHO, 2020). Mosquitoes are the protagonists of these vectors, transmitting pathogens to living beings with the most important being the Mosquito-Borne Diseases (MBDs) in Europe, namely West Nile Fever linked to Culex mosquitoes, Malaria linked to Anopheles mosquitoes and Chikungunya, Dengue and Zika linked to Aedes mosquitoes. There is a constantly increasing need to innovate on how the continuous threat of MBDs are confronted, treated but most of all foreseen. This gave birth to the idea of EYWA, an integrated and contemporary EarlY WArning System (EWS) for MBD.
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| name | Challenges |
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| id | 2047532059 |
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| EYWA builds on a modular system architecture of 7 TIERS that allows federated access to global data repositories, exploits European infrastructure as Copernicus, Copernicus Core Services, and DIAS (CreoDIAS), uses advanced DataCube technology for the processing of big EO data in conjunction with in-situ trap and other environmental/epidemiological data, and invokes validated ML/DL entomological and deterministic (dynamic) epidemiological models. The challenges in the proposed action is to further develop and adapt the models to treat effectively non-European datasets, which in principle suffer from scarcity, data sharing incompatibility and standardization issues, the latter making the main challenge towards the implementation of EYWA globallyThe main challenge is to transition from the generation of pre-computated static solar cadaster to urban scale solar variability information computed on-demand and on-fly via interoperable service hosted on WEkEO cloud infrastructure. |
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The EYWA system provides a number of benefits: - Generates a combined database of entomological & epidemiological data.
- Creates standards around the entomological & epidemiological data.
- Provides mosquito population predictions on multiple spatiotemporal resolutions.
- Provides West Nile Virus risk forecast in multiple spatiotemporal resolutions.
Raises the awareness around the issues and risks of Mosquito-borne diseases. service is currently assess by several companies in the field of solar photovoltaic installation, operation and management. The information provided by the service has proven to be of interest for those companies and NDA’s have been signed before disclosing in more details explicit fields of industrial application. |
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