“…Heat flow utility is given to the reactor to keep and work the co‐electrolyzer system under the isothermal condition. In addition, according to Equations and , the generated oxygen ions are transferred through the electrolyte environment on the surface of the anode to form an oxygen molecule (Equation ) 36 . The generated oxygen (flow F8) is separated from the rest of the components utilizing a single prebuilt component splitter block in HYSYS according to Reference 35.…”
Section: Sub‐systems Modelingmentioning
confidence: 99%
“…The electrolyte of the proposed system is a layer of ion-conductive ceramic that is laid between anode and cathode. 36 During the electrolysis process, water and carbon dioxide molecules are transformed to hydrogen and carbon monoxide on the surface of the cathode, respectively (Equations 22 and 23). The conversion reactor plays the role of isothermal electrolysis in which Equations ( 22) to (24) takes place.…”
Section: Co-electrolysis and Syngas Generationmentioning
Summary
This study proposes a novel multigeneration system consisting of a gas turbine cycle, multi‐effect desalination (MED), mono ethanolamine‐based post‐combustion carbon capture, and a co‐electrolysis unit. The designed multigeneration system aims to produce electricity, freshwater, syngas, and oxygen. This study considers two main configurations, namely base and advanced cases. In addition, the advanced configuration is simulated for three scenarios of carbon utilization and absorption efficiencies of 85%,90%, and 95% in the capture unit. The system is analyzed from energy, environmental, and economic points of view to ascertain the feasibility of each scenario. The scenarios include (i) transferring all captured carbon dioxide to a co‐electrolysis unit, (ii) delivering 30% of captured carbon dioxide to a co‐electrolysis unit and storing the rest, and (iii) storing all captured carbon dioxide. According to the results, the advanced system, compared with the base case, has 26.27% higher energy efficiency and 8.01% higher carbon dioxide capture efficiency besides 42% lower water consumption. The first scenario performs better in oxygen and syngas production (44.46 and 33.51 kg/s). In contrast, the third scenario is the most promising, considering energy and carbon dioxide capture efficiency (83.72% and 76.61%) and net electricity generation (327.97 MW). Moreover, the third scenario demonstrated the best economic feasibility with the prime cost of electricity equal to 0.02 US$/kWh and a period of return of about 1.1 years. The results confirm that the proposed multigeneration system is capable of producing multiple useful and affordable products while minimizing the CO2 emission to the atmosphere.
“…Heat flow utility is given to the reactor to keep and work the co‐electrolyzer system under the isothermal condition. In addition, according to Equations and , the generated oxygen ions are transferred through the electrolyte environment on the surface of the anode to form an oxygen molecule (Equation ) 36 . The generated oxygen (flow F8) is separated from the rest of the components utilizing a single prebuilt component splitter block in HYSYS according to Reference 35.…”
Section: Sub‐systems Modelingmentioning
confidence: 99%
“…The electrolyte of the proposed system is a layer of ion-conductive ceramic that is laid between anode and cathode. 36 During the electrolysis process, water and carbon dioxide molecules are transformed to hydrogen and carbon monoxide on the surface of the cathode, respectively (Equations 22 and 23). The conversion reactor plays the role of isothermal electrolysis in which Equations ( 22) to (24) takes place.…”
Section: Co-electrolysis and Syngas Generationmentioning
Summary
This study proposes a novel multigeneration system consisting of a gas turbine cycle, multi‐effect desalination (MED), mono ethanolamine‐based post‐combustion carbon capture, and a co‐electrolysis unit. The designed multigeneration system aims to produce electricity, freshwater, syngas, and oxygen. This study considers two main configurations, namely base and advanced cases. In addition, the advanced configuration is simulated for three scenarios of carbon utilization and absorption efficiencies of 85%,90%, and 95% in the capture unit. The system is analyzed from energy, environmental, and economic points of view to ascertain the feasibility of each scenario. The scenarios include (i) transferring all captured carbon dioxide to a co‐electrolysis unit, (ii) delivering 30% of captured carbon dioxide to a co‐electrolysis unit and storing the rest, and (iii) storing all captured carbon dioxide. According to the results, the advanced system, compared with the base case, has 26.27% higher energy efficiency and 8.01% higher carbon dioxide capture efficiency besides 42% lower water consumption. The first scenario performs better in oxygen and syngas production (44.46 and 33.51 kg/s). In contrast, the third scenario is the most promising, considering energy and carbon dioxide capture efficiency (83.72% and 76.61%) and net electricity generation (327.97 MW). Moreover, the third scenario demonstrated the best economic feasibility with the prime cost of electricity equal to 0.02 US$/kWh and a period of return of about 1.1 years. The results confirm that the proposed multigeneration system is capable of producing multiple useful and affordable products while minimizing the CO2 emission to the atmosphere.
“…Üç algoritma da beklenen çözüme yakınsama sağlamış olmak birlikte GAA algoritmasının çok daha hızlı bir şekilde sonuca ulaştığını belirttiler. (Chaniago et al, 2019) [24] Sera gazı emisyonlarının karbon dioksitin metanole dönüşmesi yoluyla azaltılması, enerji depolamak için ve bir yakıt kaynağı olarak kullanılabilecek değerli bir yan ürünün üretimi de dahil olmak üzere birkaç ikincil fayda sağlar.…”
Section: A Gaa İle İlgi̇li̇ çAlişmalarunclassified
Girdap Arama Algoritması (GAA) karıştırılan sıvılarda oluşan girdap deseninden esinlenerek yakın zamanda geliştirilmiş tek-çözüm temelli meta-sezgisel bir optimizasyon algoritmasıdır. GAA algoritmasında, bir merkez etrafında iteratif olarak adaptif adım-boyutu ayarlaması ile daraltılan bir yarıçap içinde üretilen komşu çözümler aracılığıyla arama işlemi gerçekleştirilir. Bu strateji, algoritmaya bir kolaylık ve hız kazandırmasına rağmen ekstremum noktası fazla olan problemlerde yerel optimumlara takılma riski oluşturmaktadır. Bu çalışmada, bu dezavantajı gidermek ve GAA algoritmasının arama hassasiyetini iyileştirmek amacıyla bir modifikasyon önerilmektedir. Öncelikle arama uzayı birbiriyle örtüşmeyen 4 farklı alt-bölgeye ayrılır. Daha sonra, standart merkez noktası ile birlikte her bir alt-bölgede birer tane olmak üzere toplam 5 merkez noktası tanımlanır. Her merkezin yarıçap uzunluğu bulunduğu bölgenin aralığına göre ayrı ayrı hesaplanır. Böylece birbirinden bağımsız 5 girdap oluşturularak aday çözüm çeşitliliği arttırılmış olur. Düşük yerellikten faydalanılan ilk iterasyonlar boyunca bu 5 girdap paralel şekilde çalıştırılır. Toplam iterasyon sayısının yarısından sonra, merkez sayısı 2'ye indirilerek yüksek yerellikten daha etkin faydalanılması sağlanır. Önerilen Çok-Merkezli Girdap Arama Algoritması (ÇM-GAA) 50 test fonksiyonu üzerinde 50'şer defa bağımsız şekilde çalıştırılmış ve istatistiksel değerler hesaplanmıştır. Elde edilen sonuçlar standart GAA ile karşılaştırıldığında; önerilen ÇM-GAA algoritması hemen hemen tüm fonksiyonlarda kayda değer bir iyileştirme sağlayarak ciddi bir başarı göstermiştir.
“…Moreover, bio-LA produced from a bio-process offers various advantages, making it a good foundation for renewable PO production. MeOH can be produced from the clean and sustainable process of CO 2 utilization through the emissions-to-liquids concept utilizing clean energy-based electricity. , The MeOAc synthesis process could be the esterification of AA with MeOH through RD. AA can be synthesized from MeOH, CO 2 , and H 2 , which involves CO 2 utilization.…”
Section: Toward Sustainable Process Of Continuous
Pgmea Manufacturementioning
Ultra-high-purity
propylene glycol monomethyl ether acetate (PGMEA)
is required as an electronic-grade solvent to meet the stringent requirements
of the rapidly developing semiconductor industry. The high demand
for ultra-high-purity PGMEA has created the need for an efficient
sustainable process for reducing energy consumption as well as satisfying
tight waste management regulations. Here, a potentially sustainable
and novel process for efficient continuous electronic-grade PGMEA
manufacturing is presented. This study covers the extensive design
of the novel PGMEA manufacturing
process and its intensification from the conceptual level to rigorous
simulation. The base case of the proposed PGMEA manufacturing process
highlights the feasibility of renewable resource use, single ultra-high-purity
PGMEA, nonrequirement of an additional solvent, less waste generation,
and reduction in the usage of raw materials. The advanced intensification
of PGMEA manufacturing by exploiting reactive pressure-swing distillation
achieves total reduction in energy, cost, and CO2 emissions
of approximately 38.65, 35.05, and 36.25%, respectively, compared
to the base case with rigorous optimal reactive distillation and pressure-swing
distillation. Furthermore, heat integration of intensified case reduced
the total heat utility by 47.27%.
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