1366 3 25 550 1Floating PVWind turbineBatteryEnergies 2021, 14,21 ofTable A3. Price tag components of green hydrogen developed
1366 3 25 550 1Floating PVWind turbineBatteryEnergies 2021, 14,21 ofTable A3. Value components of green hydrogen made in Germany in line with [71]. Parameters Electrical energy costs Transport fees CAPEX/OPEX Total 2020 17.0 1.9 7.3 26.two 2025 14.8 1.9 6.4 23.1 2030 12.5 1.9 five.six 20.Table A4. Costs and fuel efficiency of diesel trucks and fuel cell electric trucks according to [58]. Kinds Diesel Parameters Investment (te) Upkeep (Ke p.a.) Efficiency (kWh/100 km) Investment (te) Upkeep (Ke p.a.) Efficiency (kWh/100 km) 2020 80 18 328 174 30 272 2025 86 18 268 126 16 230 2030 88 18 238 110 16FCEVAppendix C Table A5 presents results from the supplementary scenarios.Table A5. Total charges, optimal Compound 48/80 Epigenetic Reader Domain capacities and generation utilization, power imports and emissions from the supplementary scenarios.Set:Scenarios BAU TECH FLEX TRAN SYN BAU TECH FLEX TRAN SYN BAU TECH FLEX TRAN SYNTotal Expenses (ke) 1468 1338 1271 1371 1253 1468 1468 1445 1545 1488 1425 1314 1267 1493Installed Capacity (MWp ) 2.60 two.93 two.93 three.66 0 0 0 two.30 two.40 two.71 two.71 three.Generation Utilization Consume Export Curtail 52.1 54.6 54.six 79.five 0 0 0 70.two 52.7 55.eight 55.eight 81.two 46.2 38.1 38.1 eight.3 0 0 0 28.6 46.three 42.six 42.5 12.9 1.7 7.three 7.three 12.2 0 0 0 1.2 1.1 1.7 1.7 five.Import (GWh) Elec. Fuel three.64 1.94 1.62 1.62 1.64 three.64 three.64 3.64 3.64 two.34 3.64 2.05 1.73 1.73 1.61 1.58 1.58 1.58 1.39 0.24 1.58 1.58 1.58 1.39 0.28 1.78 1.78 1.78 1.53 0.Emissions (ktons) 1.43 1.03 0.90 0.48 0.44 1.43 1.43 1.37 0.95 0.59 1.71 1.23 1.08 0.61 0.GFS:WEP:Y25:
Proceeding PaperSmart Glasses for Visually Evoked Potential Applications: Characterisation on the Optical Output for Distinctive Display TechnologiesAlessandro Cultrera 1, , Pasquale Arpaia two,three,four , Luca Callegaro 1 , Antonio Esposito 3,5 Massimo Ortolano 1,andINRIM–Istituto Nazionale di Ricerca Metrologica, 10135 Turin, Italy; [email protected] (L.C.); [email protected] (M.O.) Department of Electrical Engineering and Information Technology (DIETI), Universitdegli Studi di Napoli Federico II, 80138 Naples, Italy; [email protected] Augmented Reality for Well being Monitoring Laboratory (ARHeMLab), Universitdegli Studi di Napoli Federico II, 80138 Naples, Italy; [email protected] Centro Interdipartimentale di Ricerca in Management Sanitario e Innovazione in Sanit(CIRMIS), Universitdegli Studi di Napoli Federico II, 80138 Naples, Italy Department of Electronics and Telecommunications (DET), Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129 Turin, Italy Correspondence: [email protected] Presented in the 8th International Electronic Conference on Sensors and Applications, 15 November 2021; Out there on line: https://ecsa-8.sciforum.net/.Citation: Cultrera, A.; Arpaia, P.; Callegaro, L.; Esposito, A.; Ortolano, M. Intelligent Glasses for Visually Evoked Possible Applications: Characterisation on the Optical Output for Different Show Technologies. Eng. Proc. 2021, 10, 33. https://doi.org/10.3390/ecsa-811263 Academic Editor: Stefano Mariani Published: 1 November 2021 Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and MCC950 Inhibitor institutional affiliations.Abstract: Off-the-shelf consumer-grade wise glasses are being increasingly utilized in extended reality and brain omputer interface applications which might be determined by the detection of visually evoked potentials in the user’s brain. The displays of these kinds of devices can be based on various technologies, which may perhaps influence the nature of your visual stimul.