FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384207887> ?p ?o ?g. }

• W4384207887 endingPage "663" @default.
• W4384207887 startingPage "643" @default.
• W4384207887 abstract "Reduction in energy consumption of industrial plants is always an essential need due to high cost, CO2 emissions and global warming caused by energy supply from fossil fuels for boilers and electricity consumers. Iran has been struggling to compensate the lack of gas supply for domestic and industrial demands in winter within the past decade despite of having large natural gas resources. One of the most economical methods to decrease energy requirements in hydrocarbon plants is process improvement and revamping by changing existing solvents. There are already 44 identical acid gas removal units under operation in the South Pars Gas Complex (located in Iran) with the same feed compositions. The gas-sweetening unit in the Phase 12, operating with the solution of 45.5 wt% methyldiethanolamine (MDEA), was modeled by Aspen Plus for acid gas removal (CO2 and H2S) as a rate-based model with the application of electrolyte non–random two–liquid (E-NRTL) activity model and Peng–Robinson equation of state in addition to the actual characteristics of the absorber and regenerator, and the operational conditions of the gas and liquid streams. After validation of the model by the real data from the plant, the incumbent amine solution was replaced with five proposed amine solutions – one single and four blended amine mixtures – in the same mass concentration to select the most efficient alternative from the aspects of outlet acid gas concentration, H2S content in the treated flash gas, required total power, reboiler power supply, and regeneration heat duty. The simulation results revealed that H2S was sharply absorbed on the top of the column, while CO2 was smoothly removed from the gas phase to the MDEA and blended solutions along the absorber and it occurred at the bottom of the column for the DEA solution. The blended amine solution of 1.5 wt% sulfolane + 44 wt% MDEA (Sulfinol-M) has shown to be the most appropriate option instead of the solution of MDEA compared to other suggested absorbents, with several advantages such as higher selectivity of H2S over CO2, low temperature bulge, highest H2S loading, and outlet sweet gas flow rate while required total power, reboiler power supply, and regeneration heat duty were reduced by 21.19%, 21.26%, and 23.54% respectively. The operational conditions of the unit with the application of the Sulfinol-M solution were optimized to achieve three specifications (constraints) and the minimum required total power (objective function) through a sensitivity analysis and optimization using a genetic algorithm to assure the reliability of values for three independent parameters, namely, amine solution temperature, amine solution flow rate, and gas temperature. The optimum limits and values of these parameters were 47 °C – 50 °C, 220 – 240 ton/h, and 34 °C respectively." @default.
• W4384207887 created "2023-07-14" @default.
• W4384207887 creator A5062082458 @default.
• W4384207887 creator A5069203889 @default.
• W4384207887 creator A5075941626 @default.
• W4384207887 creator A5088348635 @default.
• W4384207887 date "2023-09-01" @default.
• W4384207887 modified "2023-09-29" @default.
• W4384207887 title "Rate-based modeling and energy optimization of acid gas removal from natural gas stream using various amine solutions" @default.
• W4384207887 cites W1528019526 @default.
• W4384207887 cites W1548261393 @default.
• W4384207887 cites W1971491049 @default.
• W4384207887 cites W1988110118 @default.
• W4384207887 cites W1998942638 @default.
• W4384207887 cites W2000928028 @default.
• W4384207887 cites W2009928776 @default.
• W4384207887 cites W2038813626 @default.
• W4384207887 cites W2048907364 @default.
• W4384207887 cites W2051241322 @default.
• W4384207887 cites W2061370144 @default.
• W4384207887 cites W2062885195 @default.
• W4384207887 cites W2066830684 @default.
• W4384207887 cites W2067315642 @default.
• W4384207887 cites W2068958591 @default.
• W4384207887 cites W2070998768 @default.
• W4384207887 cites W2075668939 @default.
• W4384207887 cites W2079553081 @default.
• W4384207887 cites W2082741610 @default.
• W4384207887 cites W2083650766 @default.
• W4384207887 cites W2115250949 @default.
• W4384207887 cites W2144354187 @default.
• W4384207887 cites W2191207305 @default.
• W4384207887 cites W2213178991 @default.
• W4384207887 cites W2213551766 @default.
• W4384207887 cites W2530968150 @default.
• W4384207887 cites W2565050560 @default.
• W4384207887 cites W2792816435 @default.
• W4384207887 cites W2800946844 @default.
• W4384207887 cites W2809540562 @default.
• W4384207887 cites W2897496578 @default.
• W4384207887 cites W2979451745 @default.
• W4384207887 cites W3002117345 @default.
• W4384207887 cites W3022814984 @default.
• W4384207887 cites W3024296279 @default.
• W4384207887 cites W3162425308 @default.
• W4384207887 cites W3164483431 @default.
• W4384207887 cites W3174508967 @default.
• W4384207887 cites W3180074388 @default.
• W4384207887 cites W3184926284 @default.
• W4384207887 cites W3190546225 @default.
• W4384207887 cites W3193834386 @default.
• W4384207887 cites W4224270661 @default.
• W4384207887 cites W4281642331 @default.
• W4384207887 cites W4281659194 @default.
• W4384207887 cites W4283726058 @default.
• W4384207887 cites W4294308171 @default.
• W4384207887 cites W4296512224 @default.
• W4384207887 doi "https://doi.org/10.1016/j.psep.2023.07.030" @default.
• W4384207887 hasPublicationYear "2023" @default.
• W4384207887 type Work @default.
• W4384207887 citedByCount "0" @default.
• W4384207887 crossrefType "journal-article" @default.
• W4384207887 hasAuthorship W4384207887A5062082458 @default.
• W4384207887 hasAuthorship W4384207887A5069203889 @default.
• W4384207887 hasAuthorship W4384207887A5075941626 @default.
• W4384207887 hasAuthorship W4384207887A5088348635 @default.
• W4384207887 hasConcept C109209724 @default.
• W4384207887 hasConcept C119599485 @default.
• W4384207887 hasConcept C127413603 @default.
• W4384207887 hasConcept C131779359 @default.
• W4384207887 hasConcept C178790620 @default.
• W4384207887 hasConcept C185592680 @default.
• W4384207887 hasConcept C204030448 @default.
• W4384207887 hasConcept C206255140 @default.
• W4384207887 hasConcept C21880701 @default.
• W4384207887 hasConcept C2780165032 @default.
• W4384207887 hasConcept C3019413757 @default.
• W4384207887 hasConcept C39432304 @default.
• W4384207887 hasConcept C43617362 @default.
• W4384207887 hasConcept C530467964 @default.
• W4384207887 hasConcept C548081761 @default.
• W4384207887 hasConcept C59427239 @default.
• W4384207887 hasConcept C68189081 @default.
• W4384207887 hasConcept C76752636 @default.
• W4384207887 hasConcept C78762247 @default.
• W4384207887 hasConcept C87717796 @default.
• W4384207887 hasConceptScore W4384207887C109209724 @default.
• W4384207887 hasConceptScore W4384207887C119599485 @default.
• W4384207887 hasConceptScore W4384207887C127413603 @default.
• W4384207887 hasConceptScore W4384207887C131779359 @default.
• W4384207887 hasConceptScore W4384207887C178790620 @default.
• W4384207887 hasConceptScore W4384207887C185592680 @default.
• W4384207887 hasConceptScore W4384207887C204030448 @default.
• W4384207887 hasConceptScore W4384207887C206255140 @default.
• W4384207887 hasConceptScore W4384207887C21880701 @default.
• W4384207887 hasConceptScore W4384207887C2780165032 @default.
• W4384207887 hasConceptScore W4384207887C3019413757 @default.
• W4384207887 hasConceptScore W4384207887C39432304 @default.

• next