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Alternative fueling stations are located throughout the United States and Canada, and their availability continues to grow. The Alternative Fuels Data Center (AFDC) maintains a website where you can find alternative fueling stations near you or on a route, obtain counts of alternative fueling stations by state, view maps, and more. The most recent dataset available for download here provides a "snapshot" of the alternative fueling station information for compressed natural gas (CNG), ethanol (E85), propane/liquefied petroleum gas (LPG), biodiesel (B20 and above), electric vehicle charging, hydrogen, and liquefied natural gas (LNG), as of July 29, 2021.

Summary Geojson files used to visualize geospatial layers relevant to identifying and assessing trucking fleet decarbonization opportunities with the MIT Climate & Sustainability Consortium's Geospatial Fleet Transition Assessment and Decision Support (Geo-FTADS) tool. Relevant Links Link to the online version of the tool (requires creation of a free user account). Link to GitHub repo with source code to produce this dataset and deploy the Geo-FTADS tool locally. Funding This dataset was produced with support from the MIT Climate & Sustainability Consortium. Original Data Sources These geojson files draw from and synthesize a number of different datasets and tools. The original data sources and tools are described below: Filename(s) Description of Original Data Source(s) Link(s) to Download Original Data License and Attribution for Original Data Source(s) faf5_freight_flows/*.geojson trucking_energy_demand.geojson highway_assignment_links_*.geojson infrastructure_pooling_thought_experiment/*.geojson Regional and highway-level freight flow data obtained from the Freight Analysis Framework Version 5. Shapefiles for FAF5 region boundaries and highway links are obtained from the National Transportation Atlas Database. Emissions attributes are evaluated by incorporating data from the 2002 Vehicle Inventory and Use Survey and the GREET lifecycle emissions tool maintained by Argonne National Lab. Shapefile for FAF5 Regions Shapefile for FAF5 Highway Network Links FAF5 2022 Origin-Destination Freight Flow database FAF5 2022 Highway Assignment Results Attribution for Shapefiles: United States Department of Transportation Bureau of Transportation Statistics National Transportation Atlas Database (NTAD). Available at: https://geodata.bts.gov/search?collection=Dataset. License for Shapefiles: This NTAD dataset is a work of the United States government as defined in 17 U.S.C. § 101 and as such are not protected by any U.S. copyrights. This work is available for unrestricted public use. Attribution for Origin-Destination Freight Flow database: National Transportation Research Center in the Oak Ridge National Laboratory with funding from the Bureau of Transportation Statistics and the Federal Highway Administration. Freight Analysis Framework Version 5: Origin-Destination Data. Available from: https://faf.ornl.gov/faf5/Default.aspx. Obtained on Aug 5, 2024. In the public domain. Attribution for the 2022 Vehicle Inventory and Use Survey Data: United States Department of Transportation Bureau of Transportation Statistics. Vehicle Inventory and Use Survey (VIUS) 2002 [supporting datasets]. 2024. https://doi.org/10.21949/1506070 Attribution for the GREET tool (original publication): Argonne National Laboratory Energy Systems Division Center for Transportation Research. GREET Life-cycle Model. 2014. Available from this link. Attribution for the GREET tool (2022 updates): Wang, Michael, et al. Summary of Expansions and Updates in GREET® 2022. United States. https://doi.org/10.2172/1891644 grid_emission_intensity/*.geojson Emission intensity data is obtained from the eGRID database maintained by the United States Environmental Protection Agency. eGRID subregion boundaries are obtained as a shapefile from the eGRID Mapping Files database. eGRID database Shapefile with eGRID subregion boundaries Attribution for eGRID data: United States Environmental Protection Agency: eGRID with 2022 data. Available from https://www.epa.gov/egrid/download-data. In the public domain. Attribution for shapefile: United States Environmental Protection Agency: eGRID Mapping Files. Available from https://www.epa.gov/egrid/egrid-mapping-files. In the public domain. US_elec.geojson US_hy.geojson US_lng.geojson US_cng.geojson US_lpg.geojson Locations of direct current fast chargers and refueling stations for alternative fuels along U.S. highways. Obtained directly from the Station Data for Alternative Fuel Corridors in the Alternative Fuels Data Center maintained by the United States Department of Energy Office of Energy Efficiency and Renewable Energy. US_elec.geojson US_hy.geojson US_lng.geojson US_cng.geojson US_lpg.geojson Attribution: U.S. Department of Energy, Energy Efficiency and Renewable Energy. Alternative Fueling Station Corridors. 2024. Available from: https://afdc.energy.gov/corridors. In the public domain. These data and software code ("Data") are provided by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy, LLC ("Alliance"), for the U.S. Department of Energy ("DOE"), and may be used for any purpose whatsoever. daily_grid_emission_profiles/*.geojson Hourly emission intensity data obtained from ElectricityMaps. Original data can be downloaded as csv files from the ElectricityMaps United States of America database Shapefile with region boundaries used by ElectricityMaps License: Open Database License (ODbL). Details here: https://www.electricitymaps.com/data-portal Attribution for csv files: Electricity Maps (2024). United States of America 2022-23 Hourly Carbon Intensity Data (Version January 17, 2024). Electricity Maps Data Portal. https://www.electricitymaps.com/data-portal. Attribution for shapefile with region boundaries: ElectricityMaps contributors (2024). electricitymaps-contrib (Version v1.155.0) [Computer software]. https://github.com/electricitymaps/electricitymaps-contrib. gen_cap_2022_state_merged.geojson trucking_energy_demand.geojson Grid electricity generation and net summer power capacity data is obtained from the state-level electricity database maintained by the United States Energy Information Administration. U.S. state boundaries obtained from this United States Department of the Interior U.S. Geological Survey ScienceBase-Catalog. Annual electricity generation by state Net summer capacity by state Shapefile with U.S. state boundaries Attribution for electricity generation and capacity data: U.S. Energy Information Administration (Aug 2024). Available from: https://www.eia.gov/electricity/data/state/. In the public domain. electricity_rates_by_state_merged.geojson Commercial electricity prices are obtained from the Electricity database maintained by the United States Energy Information Administration. Electricity rate by state Attribution: U.S. Energy Information Administration (Aug 2024). Available from: https://www.eia.gov/electricity/data.php. In the public domain. demand_charges_merged.geojson demand_charges_by_state.geojson Maximum historical demand charges for each state and zip code are derived from a dataset compiled by the National Renewable Energy Laboratory in this this Data Catalog. Historical demand charge dataset The original dataset is compiled by the National Renewable Energy Laboratory (NREL), the U.S. Department of Energy (DOE), and the Alliance for Sustainable Energy, LLC ('Alliance'). Attribution: McLaren, Joyce, Pieter Gagnon, Daniel Zimny-Schmitt, Michael DeMinco, and Eric Wilson. 2017. 'Maximum demand charge rates for commercial and industrial electricity tariffs in the United States.' NREL Data Catalog. Golden, CO: National Renewable Energy Laboratory. Last updated: July 24, 2024. DOI: 10.7799/1392982. eastcoast.geojson midwest.geojson la_i710.geojson h2la.geojson bayarea.geojson saltlake.geojson northeast.geojson Highway corridors and regions targeted for heavy duty vehicle infrastructure projects are derived from a public announcement on February 15, 2023 by the United States Department of Energy. The shapefile with Bay area boundaries is obtained from this Berkeley Library dataset. The shapefile with Utah county boundaries is obtained from this dataset from the Utah Geospatial Resource Center. Shapefile for Bay Area country boundaries Shapefile for counties in Utah Attribution for public announcement: United States Department of Energy. Biden-Harris Administration Announces Funding for Zero-Emission Medium- and Heavy-Duty Vehicle Corridors, Expansion of EV Charging in Underserved Communities (2023). Available from https://www.energy.gov/articles/biden-harris-administration-announces-funding-zero-emission-medium-and-heavy-duty-vehicle. Attribution for Bay area boundaries: San Francisco (Calif.). Department Of Telecommunications and Information Services. Bay Area Counties. 2006. In the public domain. Attribution for Utah boundaries: Utah Geospatial Resource Center & Lieutenant Governor's Office. Utah County Boundaries (2023). Available from https://gis.utah.gov/products/sgid/boundaries/county/. License for Utah boundaries: Creative Commons 4.0 International License. incentives_and_regulations/*.geojson State-level incentives and regulations targeting heavy duty vehicles are collected from the State Laws and Incentives database maintained by the United States Department of Energy's Alternative Fuels Data Center. Data was collected manually from the State Laws and Incentives database. Attribution: U.S. Department of Energy, Energy Efficiency and Renewable Energy, Alternative Fuels Data Center. State Laws and Incentives. Accessed on Aug 5, 2024 from: https://afdc.energy.gov/laws/state. In the public domain. These data and software code ("Data") are provided by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy, LLC ("Alliance"), for the U.S. Department of Energy ("DOE"), and may be used for any purpose whatsoever. costs_and_emissions/*.geojson diesel_price_by_state.geojson trucking_energy_demand.geojson Lifecycle costs and emissions of electric and diesel trucking are evaluated by adapting the model developed by Moreno Sader et al., and calibrated to the Run on Less dataset for the Tesla Semi collected from the 2023 PepsiCo Semi pilot by the North American Council for Freight Efficiency. In addition to the data sources outlined in Moreno Sader et al. et al. and the Run on Less dataset, this dataset incorporates: Emission intensity data from the eGRID database, described elsewhere in this metadata. Commercial electricity price data from the US EIA Electricity database, described elsewhere in this metadata. Maximum historical demand charges from the National Renewable Energy Laboratory, described elsewhere in this metadata. Max motor power estimate of 942,900W and frontal area of 10.7 m^s for the Tesla Semi from motormatchup.com. Drag coefficient estimate of 0.36 for the Tesla Semi from notateslaapp.com. Estimates best-in-class truck rolling resistance of 0.0044 from a Rolling Resistance Validation report prepared by the Minnesota Department of Transportation Office of Transportation System Management. Historical diesel prices by state from the United States Energy Information Administration. Estimate of best in class diesel powertrain engine efficiency of 44% from a Fuel Efficiency Technology report by the International Council on Clean Transportation. NACFE Run on Less dataset Historical diesel prices Attribution for original truck model: Moreno Sader K, Biswas S, Jones R, Mennig M, Rezaei R, Green WH. Battery Electric Long-Haul Trucking in the United States: A Comprehensive Costing and Emissions Analysis. ChemRxiv. 2023; doi:10.26434/chemrxiv-2023-48zsc (link to colab notebook included as supplementary material). Attribution for GitHub repository with adapted code for the truck model: MacDonell, D., Moreno-Sader, K., & Biswas, S. (2024). Green_Trucking_Analysis (Version 0.1.0) [Computer software]. https://doi.org/10.5281/zenodo.13205854 Attribution for GitHub repository with analysis of the NACFE Run on Less dataset (provides inputs to MacDonell, D., Moreno-Sader, K., & Biswas, S. (2024) cited above): MacDonell, D. (2024). PepsiCo_NACFE_Analysis (Version 0.1.0) [Computer software]. https://doi.org/10.5281/zenodo.13173390 Attribution for Run on Less dataset: North American Countil for Freight Efficiency (2023). Run on Less – Electric DEPOT data. Available from: https://runonless.com/run-on-less-electric-depot-reports/ Attribution for data from MotorMatchup: 2022 Tesla Semi Truck Empty Specs. Available from: https://www.motormatchup.com/catalog/Tesla/Semi-Truck/2022/Empty. Copyright 2024 by MotorMatchup Attribution for data from Not a Tesla App: Not a Tesla App. Everything We Know About the Tesla Semi. 2024. Available from: https://www.notateslaapp.com/tesla-reference/963/everything-we-know-about-the-tesla-semi Attribution for historical diesel prices: U.S. Energy Information Administration (Aug 2024). Available from: https://www.eia.gov/petroleum/gasdiesel/. In the public domain. Attribution for best in class diesel powertrain efficiency: Delgado O, Rodríguez F, Muncrief R. Fuel Efficiency Technology in European Heavy-Duty Vehicles: Baseline and Potential for the 2020–2030 Time Frame. 2017. Available from: https://theicct.org/sites/default/files/publications/EU-HDV-Tech-Potential_ICCT-white-paper_14072017_vF.pdf. electrolyzer_operational.geojson electrolyzer_installed.geojson electrolyzer_planned_under_construction.geojson Data on locations and capacities of planned, under-construction, installed, operational electrolyzers was obtained from this DOE Hydrogen Program Record. Data was extracted manually from this DOE Hydrogen Program Record. Attribution: Arjona, Vanessa. DOE Hydrogen Program Record: Electrolyzer Installations in the United States. 2023. Available from https://www.hydrogen.energy.gov/docs/hydrogenprogramlibraries/pdfs/23003-electrolyzer-installations-united-states.pdf?Status=Master. grid_emission_intensity/*.geojson gen_cap_2022_state_merged.geojson trucking_energy_demand.geojson electricity_rates_by_state_merged.geojson demand_charges_merged.geojson demand_charges_by_state.geojson trucking_energy_demand.geojson costs_and_emissions/*.geojson diesel_price_by_state.geojson trucking_energy_demand.geojson U.S. state boundaries obtained from this United States Department of the Interior U.S. Geological Survey ScienceBase-Catalog. Attribution: U.S. Department of Commerce, U.S. Census Bureau, Geography Division. State boundaries (generalized for mapping). 2011. In the public domain. refinery.geojson Locations and production rates of hydrogen from refineries are obtained from the following two complementary datasets on the Hydrogen Tools Portal: 1) Captive, On-Purpose, Refinery Hydrogen Production Capacities at Individual U.S. Refineries, and 2) Merchant Hydrogen Plant Capacities in North America Dataset for Captive, On-Purpose, Refinery Hydrogen Production Capacities at Individual U.S. Refineries Dataset for Merchant Hydrogen Plant Capacities in North America Attribution: Copyright © 2024 by H2Tools; H2 Tools is intended for public use. It was built, and is maintained, by the Pacific Northwest National Laboratory with funding from the DOE Office of Energy Efficiency and Renewable Energy's Hydrogen and Fuel Cell Technologies Office. All Rights Reserved. Truck_Stop_Parking.geojson infrastructure_pooling_thought_experiment/*.geojson Obtained from the DOT Bureau of Transportation Statistics's Truck Stop Parking database Original dataset can be downloaded using the Shapefile download link at https://geodata.bts.gov/datasets/usdot::truck-stop-parking (link for hosted download changes regularly). Attribution: United States Department of Transportation Bureau of Transportation Statistics National Transportation Atlas Database (NTAD). Truck Stop Parking. Available at https://geodata.bts.gov/datasets/usdot::truck-stop-parking. License: This NTAD dataset is a work of the United States government as defined in 17 U.S.C. § 101 and as such are not protected by any U.S. copyrights. This work is available for unrestricted public use. Principal_Port.geojson Obtained from the DOT Bureau of Transportation Statistics's Principal Ports database Original dataset can be downloaded using the Shapefile download link at https://geodata.bts.gov/datasets/usdot::principal-ports-1 (link for hosted download changes regularly). Attribution: United States Department of Transportation Bureau of Transportation Statistics National Transportation Atlas Database (NTAD). Truck Stop Parking. Available at https://geodata.bts.gov/datasets/usdot::principal-ports-1. License: This NTAD dataset is a work of the United States government as defined in 17 U.S.C. § 101 and as such are not protected by any U.S. copyrights. This work is available for unrestricted public use.

Ir-Regolament (UE) 2019/631 jirrikjedi li l-pajjiżi jirreġistraw l-informazzjoni għal kull karozza ġdida tal-passiġġieri rreġistrata fit-territorju tagħhom. Kull sena, kull Stat Membru għandu jippreżenta lill-Kummissjoni l-informazzjoni kollha relatata mar-reġistrazzjonijiet il-ġodda tiegħu. B’mod partikolari, id-dettalji li ġejjin huma meħtieġa għal kull karozza ġdida tal-passiġġieri rreġistrata: l-isem tal-manifattur, in-numru tal-approvazzjoni tat-tip, it-tip, il-varjant, il-verżjoni, l-għamla u l-isem kummerċjali, l-emissjonijiet speċifiċi ta’ CO2 (protokolli NEDC u WLTP), il-mases tal-vettura, il-bażi tar-roti, il-wisa’ tar-roti, il-kapaċità u l-potenza tal-magna, it-tip u l-modalità ta’ fjuwil, l-ekoinnovazzjonijiet u l-konsum tal-elettriku. Id-data għall-EU-27 u r-Renju Unit hija rrappurtata fil-bażi tad-data ewlenija. Mill-2018, l-Iżlanda hija inkluża wkoll fil-bażi tad-data. Ir-Regolament (UE) 2019/631 jirrikjedi li l-pajjiżi jirreġistraw l-informazzjoni għal kull karozza ġdida tal-passiġġieri rreġistrata fit-territorju tagħhom. Kull sena, kull Stat Membru għandu jippreżenta lill-Kummissjoni l-informazzjoni kollha relatata mar-reġistrazzjonijiet il-ġodda tiegħu. B’mod partikolari, id-dettalji li ġejjin huma meħtieġa għal kull karozza ġdida tal-passiġġieri rreġistrata: l-isem tal-manifattur, in-numru tal-approvazzjoni tat-tip, it-tip, il-varjant, il-verżjoni, l-għamla u l-isem kummerċjali, l-emissjonijiet speċifiċi ta’ CO2 (protokolli NEDC u WLTP), il-mases tal-vettura, il-bażi tar-roti, il-wisa’ tar-roti, il-kapaċità u l-potenza tal-magna, it-tip u l-modalità ta’ fjuwil, l-ekoinnovazzjonijiet u l-konsum tal-elettriku. Id-data għall-EU-27 u r-Renju Unit hija rrappurtata fil-bażi tad-data ewlenija. Mill-2018, l-Iżlanda hija inkluża wkoll fil-bażi tad-data. Ceanglaítear le Rialachán (AE) 2019/631 ar thíortha faisnéis a thaifeadadh maidir le gach gluaisteán nua paisinéirí a chláraítear ar a chríoch. Gach bliain, cuirfidh gach Ballstát an fhaisnéis ar fad a bhaineann lena gclárúcháin nua faoi bhráid an Choimisiúin. Go háirithe, tá gá leis na sonraí seo a leanas maidir le gach gluaisteán nua paisinéirí a chláraítear: ainm an mhonaróra, uimhir chineálcheadaithe, cineál, malairt, leagan, déanamh agus ainm tráchtála, astaíochtaí sonracha CO2 (NEDC agus prótacail WLTP), maiseanna na feithicle, rothfhad, leithead riain, toilleadh agus cumhacht innill, cineál agus modh breosla, éiceanuálaíochtaí agus ídiú leictreachais. Tuairiscítear sonraí le haghaidh AE-27 agus na Ríochta Aontaithe sa phríomhbhunachar sonraí. Ó 2018 i leith, tá an Íoslainn san áireamh sa bhunachar sonraí freisin. Ceanglaítear le Rialachán (AE) 2019/631 ar thíortha faisnéis a thaifeadadh maidir le gach gluaisteán nua paisinéirí a chláraítear ar a chríoch. Gach bliain, cuirfidh gach Ballstát an fhaisnéis ar fad a bhaineann lena gclárúcháin nua faoi bhráid an Choimisiúin. Go háirithe, tá gá leis na sonraí seo a leanas maidir le gach gluaisteán nua paisinéirí a chláraítear: ainm an mhonaróra, uimhir chineálcheadaithe, cineál, malairt, leagan, déanamh agus ainm tráchtála, astaíochtaí sonracha CO2 (NEDC agus prótacail WLTP), maiseanna na feithicle, rothfhad, leithead riain, toilleadh agus cumhacht innill, cineál agus modh breosla, éiceanuálaíochtaí agus ídiú leictreachais. Tuairiscítear sonraí le haghaidh AE-27 agus na Ríochta Aontaithe sa phríomhbhunachar sonraí. Ó 2018 i leith, tá an Íoslainn san áireamh sa bhunachar sonraí freisin. O Regulamento (UE) 2019/631 exige que os países registem as informações relativas a cada automóvel novo de passageiros matriculado no seu território. Todos os anos, cada Estado-Membro apresenta à Comissão todas as informações relativas aos seus novos registos. Em especial, são exigidas as seguintes informações para cada automóvel novo de passageiros matriculado: nome do fabricante, número de homologação, modelo, variante, versão, marca e designação comercial, emissões específicas de CO2 (protocolos NEDC e WLTP), massas do veículo, base das rodas, largura da via, cilindrada e potência do motor, tipo e modo de combustível, ecoinovações e consumo de eletricidade. Os dados relativos à UE-27 e ao Reino Unido são comunicados na base de dados principal. Desde 2018, a Islândia também está incluída na base de dados. O Regulamento (UE) 2019/631 exige que os países registem as informações relativas a cada automóvel novo de passageiros matriculado no seu território. Todos os anos, cada Estado-Membro apresenta à Comissão todas as informações relativas aos seus novos registos. Em especial, são exigidas as seguintes informações para cada automóvel novo de passageiros matriculado: nome do fabricante, número de homologação, modelo, variante, versão, marca e designação comercial, emissões específicas de CO2 (protocolos NEDC e WLTP), massas do veículo, base das rodas, largura da via, cilindrada e potência do motor, tipo e modo de combustível, ecoinovações e consumo de eletricidade. Os dados relativos à UE-27 e ao Reino Unido são comunicados na base de dados principal. Desde 2018, a Islândia também está incluída na base de dados. Reglamente (ES) 2019/631 reikalaujama, kad šalys registruotų informaciją apie kiekvieną naują jos teritorijoje įregistruotą lengvąjį automobilį. Kiekviena valstybė narė kasmet pateikia Komisijai visą informaciją, susijusią su jų naujomis registracijomis. Visų pirma apie kiekvieną užregistruotą naują lengvąjį automobilį reikalaujama pateikti šiuos duomenis: gamintojo pavadinimas, tipo patvirtinimo numeris, tipas, variantas, versija, markė ir komercinis pavadinimas, savitasis išmetamo CO2 kiekis (NEDC ir WLTP protokolai), transporto priemonės masė, ratų bazė, vėžės plotis, variklio darbinis tūris ir galia, degalų tipas ir režimas, ekologinės naujovės ir elektros energijos sąnaudos. ES-27 ir JK duomenys pateikiami pagrindinėje duomenų bazėje. Nuo 2018 m. Islandija taip pat įtraukta į duomenų bazę. Reglamente (ES) 2019/631 reikalaujama, kad šalys registruotų informaciją apie kiekvieną naują jos teritorijoje įregistruotą lengvąjį automobilį. Kiekviena valstybė narė kasmet pateikia Komisijai visą informaciją, susijusią su jų naujomis registracijomis. Visų pirma apie kiekvieną užregistruotą naują lengvąjį automobilį reikalaujama pateikti šiuos duomenis: gamintojo pavadinimas, tipo patvirtinimo numeris, tipas, variantas, versija, markė ir komercinis pavadinimas, savitasis išmetamo CO2 kiekis (NEDC ir WLTP protokolai), transporto priemonės masė, ratų bazė, vėžės plotis, variklio darbinis tūris ir galia, degalų tipas ir režimas, ekologinės naujovės ir elektros energijos sąnaudos. ES-27 ir JK duomenys pateikiami pagrindinėje duomenų bazėje. Nuo 2018 m. Islandija taip pat įtraukta į duomenų bazę. Regulā (ES) 2019/631 noteikts, ka valstīm jāreģistrē informācija par katru jaunu vieglo automobili, kas reģistrēts tās teritorijā. Katru gadu katra dalībvalsts iesniedz Komisijai visu informāciju, kas saistīta ar to jauno reģistrāciju. Jo īpaši par katru jauno reģistrēto vieglo automobili ir vajadzīga šāda informācija: ražotāja nosaukums, tipa apstiprinājuma numurs, tips, variants, versija, marka un komercnosaukums, īpatnējās CO2 emisijas (NEDC un WLTP protokoli), transportlīdzekļa masa, riteņu bāze, sliežu ceļa platums, motora tilpums un jauda, degvielas tips un režīms, ekoinovācijas un elektroenerģijas patēriņš. Dati par ES-27 un Apvienoto Karalisti ir iekļauti galvenajā datubāzē. Kopš 2018. gada datubāzē ir iekļauta arī Islande. Regulā (ES) 2019/631 noteikts, ka valstīm jāreģistrē informācija par katru jaunu vieglo automobili, kas reģistrēts tās teritorijā. Katru gadu katra dalībvalsts iesniedz Komisijai visu informāciju, kas saistīta ar to jauno reģistrāciju. Jo īpaši par katru jauno reģistrēto vieglo automobili ir vajadzīga šāda informācija: ražotāja nosaukums, tipa apstiprinājuma numurs, tips, variants, versija, marka un komercnosaukums, īpatnējās CO2 emisijas (NEDC un WLTP protokoli), transportlīdzekļa masa, riteņu bāze, sliežu ceļa platums, motora tilpums un jauda, degvielas tips un režīms, ekoinovācijas un elektroenerģijas patēriņš. Dati par ES-27 un Apvienoto Karalisti ir iekļauti galvenajā datubāzē. Kopš 2018. gada datubāzē ir iekļauta arī Islande. Le règlement (UE) 2019/631 impose aux pays d’enregistrer les informations relatives à chaque voiture particulière neuve immatriculée sur son territoire. Chaque année, chaque État membre communique à la Commission toutes les informations relatives à ses nouveaux enregistrements. En particulier, les informations suivantes sont requises pour chaque voiture particulière neuve immatriculée: nom du constructeur, numéro d’homologation de type, type, variante, version, marque et nom commercial, émissions spécifiques de CO2 (protocoles NEDC et WLTP), masses du véhicule, base de roue, largeur de la voie, capacité et puissance du moteur, type et mode de carburant, éco-innovations et consommation d’électricité. Les données relatives à l’EU-27 et au Royaume-Uni figurent dans la base de données principale. Depuis 2018, l’Islande est également incluse dans la base de données. Ο κανονισμός (ΕΕ) 2019/631 απαιτεί από τις χώρες να καταγράφουν πληροφορίες για κάθε καινούργιο επιβατικό αυτοκίνητο που ταξινομείται στο έδαφός τους. Κάθε κράτος μέλος υποβάλλει κάθε χρόνο στην Επιτροπή όλες τις πληροφορίες που αφορούν τις νέες καταχωρίσεις του. Ειδικότερα, απαιτούνται τα ακόλουθα στοιχεία για κάθε καινούργιο επιβατικό αυτοκίνητο που ταξινομείται: όνομα του κατασκευαστή, αριθμός έγκρισης τύπου, τύπος, παραλλαγή, έκδοση, μάρκα και εμπορική ονομασία, ειδικές εκπομπές CO2 (πρωτόκολλαΝΕDC και WLTP), μάζες του οχήματος, μεταξόνιο, πλάτος μετατροχίου, κυβισμός και ισχύς του κινητήρα, τύπος και τρόπος λειτουργίας καυσίμου, οικολογικές καινοτομίες και κατανάλωση ηλεκτρικής ενέργειας. Τα στοιχεία για την ΕΕ-27 και το Ηνωμένο Βασίλειο αναφέρονται στην κύρια βάση δεδομένων. Από το 2018, η Ισλανδία περιλαμβάνεται επίσης στη βάση δεδομένων. Il regolamento (UE) 2019/631 impone ai paesi di registrare le informazioni relative a ciascuna autovettura nuova immatricolata nel suo territorio. Ogni anno ciascuno Stato membro presenta alla Commissione tutte le informazioni relative alle nuove registrazioni. In particolare, per ogni autovettura nuova immatricolata sono richiesti i seguenti dettagli: nome del costruttore, numero di omologazione, tipo, variante, versione, marca e denominazione commerciale, emissioni specifiche di CO2 (protocolli NEDC e WLTP), masse del veicolo, interasse, larghezza della carreggiata, capacità e potenza del motore, tipo e modalità di carburante, innovazioni ecologiche e consumo di energia elettrica. I dati relativi all'UE-27 e al Regno Unito sono riportati nella banca dati principale. Dal 2018 anche l'Islanda è inclusa nella banca dati. Az (EU) 2019/631 rendelet előírja az országok számára, hogy a területükön nyilvántartásba vett minden új személygépkocsira vonatkozóan rögzítsék az információkat. A tagállamok minden évben benyújtják a Bizottságnak az új nyilvántartásba vételükkel kapcsolatos valamennyi információt. Minden nyilvántartásba vett új személygépkocsi esetében különösen a következő adatokat kell megadni: gyártó neve, típus-jóváhagyási száma, típusa, változata, kivitele, gyártmánya és kereskedelmi neve, fajlagos CO2-kibocsátása (NEDC és WLTP protokollok), a jármű tömege, a kerékalap, a nyomtáv, a motortérfogat és -teljesítmény, a tüzelőanyag típusa és üzemmódja, az ökoinnovációk és a villamosenergia-fogyasztás. Az EU-27-re és az Egyesült Királyságra vonatkozó adatokat a fő adatbázis tartalmazza. 2018 óta Izland is szerepel az adatbázisban. Регламент (ЕС) 2019/631 изисква от държавите да записват информация за всеки нов лек пътнически автомобил, регистриран на тяхна територия. Всяка година всяка държава членка предоставя на Комисията цялата информация, свързана с новите си регистрации. По-специално за всеки нов регистриран лек пътнически автомобил се изискват следните данни: наименование на производителя, номер на одобрението на типа, тип, вариант, версия, марка и търговско наименование, специфични емисии на CO2 (NEDC и WLTP протоколи), маси на превозното средство, междуосово разстояние, широчина на колеята, мощност и мощност на двигателя, вид гориво и режим, екологични иновации и консумация на електроенергия. Данните за ЕС-27 и Обединеното кралство се отчитат в основната база данни. От 2018 г. насам Исландия също е включена в базата данни.

This is the second paper in a series of two that introduce our research on dynamic programming on new energy vehicles. In the first paper, we introduce the four main problems (the interpolation leakage problem, the dimension disaster problem, the standardization problem and the Markov problem) of dynamic programming on new energy vehicles, and put forward a unified dynamic programming model and its solution method for electric vehicles and hybrid electric vehicles. In this paper, we present a unified dynamic programming model and its solution method to solve these problems for fuel cell electric vehicles. The results demonstrate that the proposed method is much better than Basic Dynamic Programming and Level-Set Dynamic Programming in both calculation time and computation accuracy.

The Regulation (EC) No 443/2009 requires Member States to record information for each new passenger car registered in its territory. Every year, each Member State shall submit to the Commission all the information related to their new registrations. In particular, the following details are required for each new passenger car registered: manufacturer name, type approval number, type, variant, version, make and commercial name, specific emissions of CO2, mass of the vehicle, wheel base, track width, engine capacity, fuel type and fuel mode. Additional information, such as engine power, were also submitted. Data for EU-27 are reported in the main database. Additional information on Croatia and Norway are reported in separated files (in the same zip archive). Only EU-27 data will be used for calculating 2013 manufacturers performances.

Project: GCOS Earth Heat Inventory - A study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory (EHI), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period from 1960 to present. Summary: The file “GCOS_EHI_1960-2020_Earth_Heat_Inventory_Ocean_Heat_Content_data.nc” contains a consistent long-term Earth system heat inventory over the period 1960-2020. Human-induced atmospheric composition changes cause a radiative imbalance at the top-of-atmosphere which is driving global warming. Understanding the heat gain of the Earth system from this accumulated heat – and particularly how much and where the heat is distributed in the Earth system - is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This dataset is based on a study under the Global Climate Observing System (GCOS) concerted international effort to update the Earth heat inventory published in von Schuckmann et al. (2020), and presents an updated international assessment of ocean warming estimates, and new and updated estimates of heat gain in the atmosphere, cryosphere and land over the period 1960-2020. The dataset also contains estimates for global ocean heat content over 1960-2020 for different depth layers, i.e., 0-300m, 0-700m, 700-2000m, 0-2000m, 2000-bottom, which are described in von Schuckmann et al. (2022). This version includes an update of heat storage of global ocean heat content, where one additional product (Li et al., 2022) had been included to the initial estimate. The Earth heat inventory had been updated accordingly, considering also the update for continental heat content (Cuesta-Valero et al., 2023).

Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.CSIRO-ARCCSS.ACCESS-CM2.ssp245' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The Australian Community Climate and Earth System Simulator Climate Model Version 2 climate model, released in 2019, includes the following components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), land: CABLE2.5, ocean: ACCESS-OM2 (GFDL-MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m), seaIce: CICE5.1.2 (same grid as ocean). The model was run by the CSIRO (Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia), ARCCSS (Australian Research Council Centre of Excellence for Climate System Science). Mailing address: CSIRO, c/o Simon J. Marsland, 107-121 Station Street, Aspendale, Victoria 3195, Australia (CSIRO-ARCCSS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.

The Regulation (EC) No 443/2009 requires Member States to record information for each new passenger car registered in its territory. Every year, each Member State shall submit to the Commission all the information related to their new registrations. In particular, the following details are required for each new passenger car registered: manufacturer name, type approval number, type, variant, version, make and commercial name, specific emissions of CO2, mass of the vehicle, wheel base, track width, engine capacity, fuel type and fuel mode. Additional information, such as engine power, were also submitted. Data for EU-28 are reported in the main database.

The Regulation (EC) No 443/2009 requires Member States to record information for each new passenger car registered in its territory. Every year, each Member State shall submit to the Commission all the information related to their new registrations. In particular, the following details are required for each new passenger car registered: manufacturer name, type approval number, type, variant, version, make and commercial name, specific emissions of CO2, mass of the vehicle, wheel base, track width, engine capacity, fuel type and fuel mode. Additional information, such as engine power, were also submitted. Data for EU-28 are reported in the main database.