FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3214640825> ?p ?o ?g. }

• W3214640825 endingPage "126354" @default.
• W3214640825 startingPage "126354" @default.
• W3214640825 abstract "Hydrothermal liquefaction of woody biomass with catalysts was commonly applied in bio-energy research, but the effects of catalyst and solvent on yield and properties of bio-energy are not clear. In this work, the influences of catalyst and solvent on bio-energy production were studied, during which four solvents and three catalysts were used, and the liquefaction parameters were optimized by experimental and Machine learning (ML) method. Results show that the maximum yields of bio-oil and biochar are 65.0% and 32.0%, respectively, and the caloricvalues of bio-oil and biochar are 31.2 MJ/kg and 26.5 MJ/kg, respectively. Alkaline catalysts and 1,4-butanediol-triethanolamine mix solvent can benefit the bio-energy generation. In addition, a Random Forest (RF) was developed to forecast the yields, and the method performed well with experimental results." @default.
• W3214640825 created "2021-11-22" @default.
• W3214640825 creator A5016851008 @default.
• W3214640825 creator A5024507541 @default.
• W3214640825 creator A5031591139 @default.
• W3214640825 creator A5035370010 @default.
• W3214640825 creator A5039557678 @default.
• W3214640825 date "2022-02-01" @default.
• W3214640825 modified "2023-10-11" @default.
• W3214640825 title "Influence of catalyst and solvent on the hydrothermal liquefaction of woody biomass" @default.
• W3214640825 cites W2515556326 @default.
• W3214640825 cites W2531302087 @default.
• W3214640825 cites W2625640446 @default.
• W3214640825 cites W2743500705 @default.
• W3214640825 cites W2911819964 @default.
• W3214640825 cites W3000107189 @default.
• W3214640825 cites W3005004101 @default.
• W3214640825 cites W3015403179 @default.
• W3214640825 cites W3018922114 @default.
• W3214640825 cites W3024525656 @default.
• W3214640825 cites W3041835328 @default.
• W3214640825 cites W3045887164 @default.
• W3214640825 cites W3046230298 @default.
• W3214640825 cites W3048034331 @default.
• W3214640825 cites W3048917810 @default.
• W3214640825 cites W3081109459 @default.
• W3214640825 cites W3083631946 @default.
• W3214640825 cites W3084966153 @default.
• W3214640825 cites W3086431726 @default.
• W3214640825 cites W3087072889 @default.
• W3214640825 cites W3093930893 @default.
• W3214640825 cites W3097625749 @default.
• W3214640825 cites W3103406490 @default.
• W3214640825 cites W3106658751 @default.
• W3214640825 cites W3115221081 @default.
• W3214640825 cites W3117776921 @default.
• W3214640825 cites W3118678347 @default.
• W3214640825 cites W3126265888 @default.
• W3214640825 cites W3130172999 @default.
• W3214640825 cites W3133514426 @default.
• W3214640825 cites W3134638444 @default.
• W3214640825 cites W3135428622 @default.
• W3214640825 cites W3160267711 @default.
• W3214640825 cites W3164327771 @default.
• W3214640825 cites W3165923440 @default.
• W3214640825 cites W3166792508 @default.
• W3214640825 cites W3169672521 @default.
• W3214640825 cites W3169822451 @default.
• W3214640825 cites W3170742642 @default.
• W3214640825 cites W3197492700 @default.
• W3214640825 cites W3199487262 @default.
• W3214640825 doi "https://doi.org/10.1016/j.biortech.2021.126354" @default.
• W3214640825 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34798249" @default.
• W3214640825 hasPublicationYear "2022" @default.
• W3214640825 type Work @default.
• W3214640825 sameAs 3214640825 @default.
• W3214640825 citedByCount "17" @default.
• W3214640825 countsByYear W32146408252022 @default.
• W3214640825 countsByYear W32146408252023 @default.
• W3214640825 crossrefType "journal-article" @default.
• W3214640825 hasAuthorship W3214640825A5016851008 @default.
• W3214640825 hasAuthorship W3214640825A5024507541 @default.
• W3214640825 hasAuthorship W3214640825A5031591139 @default.
• W3214640825 hasAuthorship W3214640825A5035370010 @default.
• W3214640825 hasAuthorship W3214640825A5039557678 @default.
• W3214640825 hasConcept C113196181 @default.
• W3214640825 hasConcept C115540264 @default.
• W3214640825 hasConcept C127413603 @default.
• W3214640825 hasConcept C134121241 @default.
• W3214640825 hasConcept C13965031 @default.
• W3214640825 hasConcept C156380964 @default.
• W3214640825 hasConcept C156622251 @default.
• W3214640825 hasConcept C159985019 @default.
• W3214640825 hasConcept C161790260 @default.
• W3214640825 hasConcept C178790620 @default.
• W3214640825 hasConcept C185592680 @default.
• W3214640825 hasConcept C191859794 @default.
• W3214640825 hasConcept C192562407 @default.
• W3214640825 hasConcept C2775897365 @default.
• W3214640825 hasConcept C2779276218 @default.
• W3214640825 hasConcept C2780471494 @default.
• W3214640825 hasConcept C36759035 @default.
• W3214640825 hasConcept C39432304 @default.
• W3214640825 hasConcept C42360764 @default.
• W3214640825 hasConcept C528095902 @default.
• W3214640825 hasConcept C53991642 @default.
• W3214640825 hasConcept C548081761 @default.
• W3214640825 hasConcept C56085101 @default.
• W3214640825 hasConcept C6557445 @default.
• W3214640825 hasConcept C86803240 @default.
• W3214640825 hasConceptScore W3214640825C113196181 @default.
• W3214640825 hasConceptScore W3214640825C115540264 @default.
• W3214640825 hasConceptScore W3214640825C127413603 @default.
• W3214640825 hasConceptScore W3214640825C134121241 @default.
• W3214640825 hasConceptScore W3214640825C13965031 @default.
• W3214640825 hasConceptScore W3214640825C156380964 @default.
• W3214640825 hasConceptScore W3214640825C156622251 @default.
• W3214640825 hasConceptScore W3214640825C159985019 @default.

• next