FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386002817> ?p ?o ?g. }

• W4386002817 abstract "An energy system based on water for creating hydrogen energy might be less globally restricted than one that uses the available fossil fuels today. Therefore, creating an efficient catalyst and electrolyzer system is necessary to effectively convert renewable energy into chemical energy (hydrogen). In this study, a model based on kinetic reaction rate parameters is proposed for estimating energy efficiency and energy conversion for hydrogen generation in a high-voltage alkaline electrolyzer. Three complementary models, including the thermal, electrochemical, and thermodynamic, are conducted to forecast the thermal time constant, overall thermal resistance, operating temperature, electrolyzer voltage, energy consumption, and energy loss. To ensure that they can operate directly with renewable energy sources, the modeling was expanded to incorporate hydrogen production at a voltage level of 6 V. The model's various parameters were computed using non-linear regression presented in Engineering Equation Solver (EES) utilizing experimental data gathered in a high-voltage alkaline test rig. From their precursors and coated on Ti substrates, nanoparticles of Ag, TiO2, and Ag + TiO2 are created as electrocatalysts for the production of hydrogen. In comparison with the bare Ti electrode, the results revealed that energy efficiencies of the Ag, TiO2, and Ag + TiO2 electrodes have increased by 23%, 28%, and 28%, respectively. The largest improvement in hydrogen energy conversion achieved with TiO2 electrodes over Ti electrodes was 84%. Thermodynamic-thermal models that were integrated showed that the coated electrodes decreased the thermal energy loss (TΔS) and useable energy (ΔG) simultaneously during the electrolysis process. The electrochemical model demonstrated a strong fit to the data from those experiments, indicating that the coated nanomaterials are the most important factor in increasing the electrolyzer energy efficiency-based production of hydrogen. The models presented in this research offered a practical method for increasing hydrogen energy production and energy conversion using nanomaterial to build effective electrolyzer devices. The models described in this study are appropriate for the dynamic simulation of renewable energy-hydrogen systems. As a result, these models are easily connected to economic theories that account for both financial and operation expenses." @default.
• W4386002817 created "2023-08-20" @default.
• W4386002817 creator A5004708515 @default.
• W4386002817 creator A5008781683 @default.
• W4386002817 creator A5024290046 @default.
• W4386002817 creator A5080953985 @default.
• W4386002817 date "2023-08-01" @default.
• W4386002817 modified "2023-10-12" @default.
• W4386002817 title "Modeling of electrocatalytic hydrogen evolution via high voltage alkaline electrolyzer with different nano-electrocatalysts" @default.
• W4386002817 cites W1088025408 @default.
• W4386002817 cites W1971369945 @default.
• W4386002817 cites W1978639576 @default.
• W4386002817 cites W1986758359 @default.
• W4386002817 cites W2010450300 @default.
• W4386002817 cites W2021447016 @default.
• W4386002817 cites W2026818110 @default.
• W4386002817 cites W2030224984 @default.
• W4386002817 cites W2038352630 @default.
• W4386002817 cites W2038522556 @default.
• W4386002817 cites W2040825792 @default.
• W4386002817 cites W2043739431 @default.
• W4386002817 cites W2057879803 @default.
• W4386002817 cites W2060002641 @default.
• W4386002817 cites W2060584905 @default.
• W4386002817 cites W2060759450 @default.
• W4386002817 cites W2092889901 @default.
• W4386002817 cites W2093560764 @default.
• W4386002817 cites W2226708175 @default.
• W4386002817 cites W2285905998 @default.
• W4386002817 cites W2617047346 @default.
• W4386002817 cites W2621166672 @default.
• W4386002817 cites W2782420847 @default.
• W4386002817 cites W2801394397 @default.
• W4386002817 cites W2803118351 @default.
• W4386002817 cites W286662467 @default.
• W4386002817 cites W2894787734 @default.
• W4386002817 cites W2903171817 @default.
• W4386002817 cites W2938496123 @default.
• W4386002817 cites W2941865832 @default.
• W4386002817 cites W2995627481 @default.
• W4386002817 cites W2999248919 @default.
• W4386002817 cites W3007472167 @default.
• W4386002817 cites W3023417241 @default.
• W4386002817 cites W3049053520 @default.
• W4386002817 cites W3128490572 @default.
• W4386002817 cites W3136877486 @default.
• W4386002817 cites W3211557937 @default.
• W4386002817 cites W4200020737 @default.
• W4386002817 cites W4214568531 @default.
• W4386002817 cites W4290090544 @default.
• W4386002817 cites W4307818364 @default.
• W4386002817 cites W4307836933 @default.
• W4386002817 cites W4307956876 @default.
• W4386002817 cites W4324030499 @default.
• W4386002817 cites W4366274713 @default.
• W4386002817 cites W4382051646 @default.
• W4386002817 doi "https://doi.org/10.1016/j.ijhydene.2023.08.062" @default.
• W4386002817 hasPublicationYear "2023" @default.
• W4386002817 type Work @default.
• W4386002817 citedByCount "0" @default.
• W4386002817 crossrefType "journal-article" @default.
• W4386002817 hasAuthorship W4386002817A5004708515 @default.
• W4386002817 hasAuthorship W4386002817A5008781683 @default.
• W4386002817 hasAuthorship W4386002817A5024290046 @default.
• W4386002817 hasAuthorship W4386002817A5080953985 @default.
• W4386002817 hasConcept C107861326 @default.
• W4386002817 hasConcept C119599485 @default.
• W4386002817 hasConcept C121332964 @default.
• W4386002817 hasConcept C127413603 @default.
• W4386002817 hasConcept C147789679 @default.
• W4386002817 hasConcept C161790260 @default.
• W4386002817 hasConcept C163127949 @default.
• W4386002817 hasConcept C17168322 @default.
• W4386002817 hasConcept C17525397 @default.
• W4386002817 hasConcept C178790620 @default.
• W4386002817 hasConcept C185592680 @default.
• W4386002817 hasConcept C188573790 @default.
• W4386002817 hasConcept C192562407 @default.
• W4386002817 hasConcept C202189072 @default.
• W4386002817 hasConcept C22547674 @default.
• W4386002817 hasConcept C35590869 @default.
• W4386002817 hasConcept C42360764 @default.
• W4386002817 hasConcept C48256821 @default.
• W4386002817 hasConcept C512968161 @default.
• W4386002817 hasConcept C52859227 @default.
• W4386002817 hasConcept C55493867 @default.
• W4386002817 hasConcept C65165184 @default.
• W4386002817 hasConcept C68801617 @default.
• W4386002817 hasConcept C71392577 @default.
• W4386002817 hasConcept C9682599 @default.
• W4386002817 hasConcept C97355855 @default.
• W4386002817 hasConceptScore W4386002817C107861326 @default.
• W4386002817 hasConceptScore W4386002817C119599485 @default.
• W4386002817 hasConceptScore W4386002817C121332964 @default.
• W4386002817 hasConceptScore W4386002817C127413603 @default.
• W4386002817 hasConceptScore W4386002817C147789679 @default.
• W4386002817 hasConceptScore W4386002817C161790260 @default.
• W4386002817 hasConceptScore W4386002817C163127949 @default.
• W4386002817 hasConceptScore W4386002817C17168322 @default.
• W4386002817 hasConceptScore W4386002817C17525397 @default.

• next