FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2968527706> ?p ?o ?g. }

• W2968527706 endingPage "113684" @default.
• W2968527706 startingPage "113684" @default.
• W2968527706 abstract "The coal chemical industry plays a critical role in the economic growth and energy security of China. In this study, a constrained nonlinear programming is proposed to optimize deployment technologies and processes of the coal chemical industry to reduce CO2 emissions, and thus obtain the minimum CO2 emissions per unit output of the coal chemical sector, while satisfying economic growth and energy security. Deployment of new technologies and processes in the coal chemical industry, over short-term (2020), mid-term (2030) and long-term (2050) periods, with the objective to reduce CO2 emissions, are investigated based on this model. Dynamic sensitivity or uncertainty analysis of impacts of technical factors such as technology upgrading, carbon capture and storage & carbon capture, utilization, and storage and other technologies to deployed coal chemical sectors on CO2 emissions reduction and economic growth, are performed. Different technologies were simulated, with the output providing three scenarios: 100% (positive), 50% (moderate) and 25% (conservative) of the predicted target reduction in CO2 emissions. The reduction in CO2 emissions was analyzed at different time periods, with respect to carbon tax values and crude oil prices. Correspondingly, a development roadmap (2020–2030–2050) of the coal chemical industry, with respect to reducing carbon emissions is drawn." @default.
• W2968527706 created "2019-08-22" @default.
• W2968527706 creator A5004493351 @default.
• W2968527706 creator A5035374461 @default.
• W2968527706 creator A5040683569 @default.
• W2968527706 creator A5056320138 @default.
• W2968527706 creator A5061752586 @default.
• W2968527706 creator A5073483190 @default.
• W2968527706 creator A5074929695 @default.
• W2968527706 date "2019-11-01" @default.
• W2968527706 modified "2023-10-17" @default.
• W2968527706 title "Investigation and optimization analysis on deployment of China coal chemical industry under carbon emission constraints" @default.
• W2968527706 cites W1532824356 @default.
• W2968527706 cites W1735901844 @default.
• W2968527706 cites W1753927411 @default.
• W2968527706 cites W1971122783 @default.
• W2968527706 cites W1975163964 @default.
• W2968527706 cites W1981026220 @default.
• W2968527706 cites W1987527172 @default.
• W2968527706 cites W1997930499 @default.
• W2968527706 cites W2012913176 @default.
• W2968527706 cites W2014015198 @default.
• W2968527706 cites W2018228016 @default.
• W2968527706 cites W2019023015 @default.
• W2968527706 cites W2023127180 @default.
• W2968527706 cites W2035010107 @default.
• W2968527706 cites W2037061754 @default.
• W2968527706 cites W2043450932 @default.
• W2968527706 cites W2047087333 @default.
• W2968527706 cites W2054615220 @default.
• W2968527706 cites W2091690141 @default.
• W2968527706 cites W2105563531 @default.
• W2968527706 cites W2108068472 @default.
• W2968527706 cites W2111489448 @default.
• W2968527706 cites W2156789004 @default.
• W2968527706 cites W2160669644 @default.
• W2968527706 cites W2173109409 @default.
• W2968527706 cites W2233179821 @default.
• W2968527706 cites W2289412937 @default.
• W2968527706 cites W2296659800 @default.
• W2968527706 cites W2467891492 @default.
• W2968527706 cites W2517494715 @default.
• W2968527706 cites W2543313169 @default.
• W2968527706 cites W2562929112 @default.
• W2968527706 cites W2568414549 @default.
• W2968527706 cites W2590636362 @default.
• W2968527706 cites W2591140076 @default.
• W2968527706 cites W2600660627 @default.
• W2968527706 cites W2606548056 @default.
• W2968527706 cites W2606793720 @default.
• W2968527706 cites W2737257707 @default.
• W2968527706 cites W2747793629 @default.
• W2968527706 cites W2751610222 @default.
• W2968527706 cites W2783380462 @default.
• W2968527706 cites W2904025988 @default.
• W2968527706 cites W2904335118 @default.
• W2968527706 cites W2911502876 @default.
• W2968527706 cites W3125894407 @default.
• W2968527706 cites W344660231 @default.
• W2968527706 cites W4211128374 @default.
• W2968527706 doi "https://doi.org/10.1016/j.apenergy.2019.113684" @default.
• W2968527706 hasPublicationYear "2019" @default.
• W2968527706 type Work @default.
• W2968527706 sameAs 2968527706 @default.
• W2968527706 citedByCount "55" @default.
• W2968527706 countsByYear W29685277062020 @default.
• W2968527706 countsByYear W29685277062021 @default.
• W2968527706 countsByYear W29685277062022 @default.
• W2968527706 countsByYear W29685277062023 @default.
• W2968527706 crossrefType "journal-article" @default.
• W2968527706 hasAuthorship W2968527706A5004493351 @default.
• W2968527706 hasAuthorship W2968527706A5035374461 @default.
• W2968527706 hasAuthorship W2968527706A5040683569 @default.
• W2968527706 hasAuthorship W2968527706A5056320138 @default.
• W2968527706 hasAuthorship W2968527706A5061752586 @default.
• W2968527706 hasAuthorship W2968527706A5073483190 @default.
• W2968527706 hasAuthorship W2968527706A5074929695 @default.
• W2968527706 hasConcept C104779481 @default.
• W2968527706 hasConcept C105339364 @default.
• W2968527706 hasConcept C11413529 @default.
• W2968527706 hasConcept C115903868 @default.
• W2968527706 hasConcept C119599485 @default.
• W2968527706 hasConcept C12404463 @default.
• W2968527706 hasConcept C127413603 @default.
• W2968527706 hasConcept C132651083 @default.
• W2968527706 hasConcept C134560507 @default.
• W2968527706 hasConcept C140205800 @default.
• W2968527706 hasConcept C162324750 @default.
• W2968527706 hasConcept C175605778 @default.
• W2968527706 hasConcept C183237670 @default.
• W2968527706 hasConcept C188573790 @default.
• W2968527706 hasConcept C18903297 @default.
• W2968527706 hasConcept C2777172336 @default.
• W2968527706 hasConcept C2778379663 @default.
• W2968527706 hasConcept C2778976125 @default.
• W2968527706 hasConcept C39432304 @default.
• W2968527706 hasConcept C41008148 @default.
• W2968527706 hasConcept C47737302 @default.

• next