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Prozess- und Betriebsmittelentwicklung zur hochratenfähigen, rollenbasierten CCM- und MEA-Herstellung inklusive Assemblierung für die Herstellung von Brennstoffzellen

Das Forschungsprojekt 'R2Stack' verfolgt das Projektziel der Entwicklung einer Prozesskette zur hochratenfähigen Produktion von CCM und MEA für die Brennstoffzellenherstellung. Der primäre Fokus des Projekts liegt in der Entwicklung von hochgetakteten Prozessen und Betriebsmitteln zur Herstellung von CCMs im Rolle-zu-Rolle-Prinzip mit integrierter Qualitätsüberwachung und Reparaturkonzept. Des Weiteren soll ein entsprechendes, ebenfalls hochratenfähiges Fertigungskonzept für die Assemblierung der MEAs von der Rolle entwickelt werden. Der sekundäre Fokus des Projektes liegt in der Konzeptentwicklung für die hochratenfähige Weiterverarbeitung der MEAs in Form des Stackings, welcher die Sicherstellung der Verwertungspotentiale gewährleisten soll. Basis für die Entwicklungen ist ein vorhandenes MEA-, BPP- sowie Brennstoffzellendesign des assoziierten Partners PowerCell Sweden, welches dem Projektkonsortium im Rahmen des Projekts zur Verfügung gestellt wird. Dieses soll im Projektverlauf validiert und im Einklang mit den zu entwickelnden Fertigungsprozessen eine entsprechende Designrichtlinie für MEAs abgeleitet werden, um große Stückzahlen prozesssicher produzieren zu können. Der Verbundprojektpartner Laufenberg liefert die für die hochratenfähige MEA-Fertigung notwendige CCM auf Rolle. Hierfür wird der vorhandene Herstellungsprozess optimiert und angepasst, sodass dieser die notwendige Hochratenfähigkeit erreicht. Die Qualitätssicherung ist dabei ein wichtiger Aspekt. Der Ausschuss soll auf = 5 % reduziert und in enger Zusammenarbeit mit der Projektpartner Fraunhofer ENAS ein inline Reparaturkonzept entwickelt werden. Parallel zur der Herstellung der realen CCM entwickelt Laufenberg eine 'Dummy-CCM', die für die Entwicklung und Anpassung des hochratenfähige MEA-Fertigungsprozess notwendig sind. Dies spart Ressourcen und reduziert die notwendigen Kosten.

EEA Reference grid

The grid is based on the recommendation at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. For each country three vector polygon grid shape files, 1, 10 and 100 km, are available. The grids cover at least country borders - plus 15km buffer - and, where applicable, marine Exclusive Economic Zones v7.0 - plus 15km buffer - (www.vliz.be/vmdcdata/marbound). Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.

Bathing Water Directive - Status of bathing water

The EU Bathing Waters Directive requires Member States to identify popular bathing places in fresh and coastal waters and monitor them for indicators of microbiological pollution (and other substances) throughout the bathing season which runs from May to September

NECPR: Additional Reporting Obligations in the area of Renewable Energy (Annex XVI) dataset

Additional reporting in the area of renewable energy is a dataset under the National Energy and Climate Progress Reports (NECPRs), which is reported every second year (starting in 2023) by EU Member States. The dataset provides information regarding Member States functioning system for guarantees of origin (GO), renewable energy surplus/deficits, biomass use and impacts, and renewable energy usage in buildings. The EEA collects and quality checks this data. The dataset links to data from Eurostat. This reporting obligation comes from the Governance Regulation 2018/1999, Implementing Regulation (EU) 2022/2299 (Annex XVI).

GTS Bulletin: SNSN01 ESMT - Surface data (details are described in the abstract)

The SNSN01 TTAAii Data Designators decode as: T1 (S): Surface data T1T2 (SN): Non-standard synoptic hour A1A2 (SN): Sweden (Remarks from Volume-C: NilReason)

NECPR: Progress to targets for energy efficiency (Annex IV) dataset

Progress to targets for energy efficiency is a dataset under the National Energy and Climate Progress Reports (NECPRs), which is reported every second year (starting in 2023) by EU Member States. The dataset provides information regarding Member State's energy efficiency contributions and progress in achieving them. The EEA collects and quality checks this data. The dataset links to data from Eurostat regarding Primary Energy Consumption (PEC) and Final Energy Consumption (FEC) in the period of 2020-2030. This reporting obligation comes from the Governance Regulation 2018/1999, Implementing Regulation (EU) 2022/2299 (Annex IV).

Model Output Statistics for KALMAR FLYGPLATS (02670)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Model Output Statistics for SVANBERGA (02490)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2016

The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the above mentioned surface water bodies and groundwater bodies. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting.

Nationally designated areas

The European inventory of Nationally designated areas holds information about designated areas and their designation types, which directly or indirectly create protected areas. The Nationally designated areas is the official source of protected area information from the 38 European member countries to the World Database of Protected Areas (WDPA). The Nationally designated areas data can be queried online in the European Nature Information System (EUNIS). Two versions of the public dataset are provided. The full dataset includes the entire geographical coverage including nationally designated areas in overseas entities. The European dataset excludes the overseas entities. The datasets are accompanied by tabular data which 1) includes information on the nationally designated sites and designated boundaries for public dissemination; and 2) contains information about designation types and the national and international legislative instruments, which directly or indirectly create protected designated areas in Europe.

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