FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891495194> ?p ?o ?g. }

• W2891495194 endingPage "206" @default.
• W2891495194 startingPage "194" @default.
• W2891495194 abstract "In recent years, several strategies have been developed and adopted in a bid to diminish the carbon dioxide (CO2) released into the atmosphere. Carbon capture, utilization and storage (CCUS) system is one of the options. In this paper, we develop a CCUS supply chain superstructure by introducing more comprehensive transportation routes as well as the resultant system deployment schemes. A mixed integer linear programming (MILP) model is proposed to optimize the strategic CCUS deployment in Northeast China by making simultaneous selection of emission sources, capture facilitates, CO2 pipeline, intermediate transportation sites, utilization and storage sites. The CCUS cost includes the cost of flue gas dehydration, CO2 capture, transportation and injection, and revenue from CO2 utilization through enhanced oil recovery (CO2-EOR). The overall network is economically optimized over a 20 years’ life span to provide the geographic distribution and scale of capture, utilization and sequestration sites as well as the transportation routes for different scenarios. The results suggest that it is economic feasible to reduce 50% of the current CO2 emissions from the stationary sources at a total annual cost $2.30 billion accompanied with $0.77 billion of revenue generated annually through CO2-EOR. Overall, the optimal CCUS supply chain network correspond to a net cost of $23.53 per ton of CO2. The results are compared with source-sink model and it can be observed that the total annualized net cost is reduced from $1.62 billion to $1.53 billion and the transportation cost are reduced from $0.27 billion to $0.19 billion." @default.
• W2891495194 created "2018-09-27" @default.
• W2891495194 creator A5007322337 @default.
• W2891495194 creator A5016945698 @default.
• W2891495194 creator A5028690312 @default.
• W2891495194 creator A5036191283 @default.
• W2891495194 creator A5057035600 @default.
• W2891495194 date "2018-12-01" @default.
• W2891495194 modified "2023-10-09" @default.
• W2891495194 title "An optimization model for carbon capture utilization and storage supply chain: A case study in Northeastern China" @default.
• W2891495194 cites W1963482294 @default.
• W2891495194 cites W1968455200 @default.
• W2891495194 cites W1988043302 @default.
• W2891495194 cites W1990612173 @default.
• W2891495194 cites W1991825027 @default.
• W2891495194 cites W2026277606 @default.
• W2891495194 cites W2035009342 @default.
• W2891495194 cites W2045890990 @default.
• W2891495194 cites W2046654931 @default.
• W2891495194 cites W2078178888 @default.
• W2891495194 cites W2083974340 @default.
• W2891495194 cites W2084179671 @default.
• W2891495194 cites W2085314103 @default.
• W2891495194 cites W2109963249 @default.
• W2891495194 cites W2114427134 @default.
• W2891495194 cites W2127564984 @default.
• W2891495194 cites W2131379134 @default.
• W2891495194 cites W2165900139 @default.
• W2891495194 cites W2227518962 @default.
• W2891495194 cites W2279357783 @default.
• W2891495194 cites W2319049948 @default.
• W2891495194 cites W2324510298 @default.
• W2891495194 cites W2327835339 @default.
• W2891495194 cites W2482348535 @default.
• W2891495194 cites W2513701666 @default.
• W2891495194 cites W2553461826 @default.
• W2891495194 cites W2568190843 @default.
• W2891495194 cites W2585733418 @default.
• W2891495194 cites W2608883618 @default.
• W2891495194 cites W2620906040 @default.
• W2891495194 cites W2741622281 @default.
• W2891495194 cites W2770322002 @default.
• W2891495194 cites W2779961340 @default.
• W2891495194 cites W2802282370 @default.
• W2891495194 cites W2886282055 @default.
• W2891495194 cites W389969406 @default.
• W2891495194 cites W763597904 @default.
• W2891495194 cites W2746036349 @default.
• W2891495194 doi "https://doi.org/10.1016/j.apenergy.2018.09.129" @default.
• W2891495194 hasPublicationYear "2018" @default.
• W2891495194 type Work @default.
• W2891495194 sameAs 2891495194 @default.
• W2891495194 citedByCount "71" @default.
• W2891495194 countsByYear W28914951942019 @default.
• W2891495194 countsByYear W28914951942020 @default.
• W2891495194 countsByYear W28914951942021 @default.
• W2891495194 countsByYear W28914951942022 @default.
• W2891495194 countsByYear W28914951942023 @default.
• W2891495194 crossrefType "journal-article" @default.
• W2891495194 hasAuthorship W2891495194A5007322337 @default.
• W2891495194 hasAuthorship W2891495194A5016945698 @default.
• W2891495194 hasAuthorship W2891495194A5028690312 @default.
• W2891495194 hasAuthorship W2891495194A5036191283 @default.
• W2891495194 hasAuthorship W2891495194A5057035600 @default.
• W2891495194 hasConcept C105339364 @default.
• W2891495194 hasConcept C115903868 @default.
• W2891495194 hasConcept C121955636 @default.
• W2891495194 hasConcept C127413603 @default.
• W2891495194 hasConcept C134560507 @default.
• W2891495194 hasConcept C144133560 @default.
• W2891495194 hasConcept C162324750 @default.
• W2891495194 hasConcept C178790620 @default.
• W2891495194 hasConcept C182299520 @default.
• W2891495194 hasConcept C185592680 @default.
• W2891495194 hasConcept C195487862 @default.
• W2891495194 hasConcept C22884784 @default.
• W2891495194 hasConcept C39432304 @default.
• W2891495194 hasConcept C530467964 @default.
• W2891495194 hasConcept C548081761 @default.
• W2891495194 hasConcept C87717796 @default.
• W2891495194 hasConceptScore W2891495194C105339364 @default.
• W2891495194 hasConceptScore W2891495194C115903868 @default.
• W2891495194 hasConceptScore W2891495194C121955636 @default.
• W2891495194 hasConceptScore W2891495194C127413603 @default.
• W2891495194 hasConceptScore W2891495194C134560507 @default.
• W2891495194 hasConceptScore W2891495194C144133560 @default.
• W2891495194 hasConceptScore W2891495194C162324750 @default.
• W2891495194 hasConceptScore W2891495194C178790620 @default.
• W2891495194 hasConceptScore W2891495194C182299520 @default.
• W2891495194 hasConceptScore W2891495194C185592680 @default.
• W2891495194 hasConceptScore W2891495194C195487862 @default.
• W2891495194 hasConceptScore W2891495194C22884784 @default.
• W2891495194 hasConceptScore W2891495194C39432304 @default.
• W2891495194 hasConceptScore W2891495194C530467964 @default.
• W2891495194 hasConceptScore W2891495194C548081761 @default.
• W2891495194 hasConceptScore W2891495194C87717796 @default.
• W2891495194 hasFunder F4320321001 @default.
• W2891495194 hasLocation W28914951941 @default.

• next