I. D. Puspita, S. Ratnawati, Hendri Setiawan, M. Murwantoko, Ustadi Ustadi, D. Ratkowsky, M. Tamplin
N-acetylglucosamine (GlcNAc), a chitin monomer, can be used as a natural preservative to ensure food quality and safety. Combining natural preservatives with low storage temperature offers physical hurdles to bacterial growth in food. This study aimed to produce chitin hydrolysate containing GlcNAc using Serratia marcescens PT6 crude chitinase and investigate its effect on bacterial growth rate as a function of temperature. Crude chitinase from partial purification was used to hydrolyze 1.3% colloidal chitin. The optimal enzymatic conditions were pH 6 and 45˚C for 120 min, at an enzyme:substrate ratio of 1:1, yielding a 65.6 µg/mL GlcNAc. Inhibitory activity of hydrolysate containing 2.5-7.5 ppm GlcNAc on Escherichia coli, Staphylococcus aureus, Bacillus cereus, and Vibrio parahaemolyticus was measured at 4, 15, and 30oC in nutrient broth. Bacterial growth was measured using of optical density for each combination of GlcNAc concentration and temperature. Growth curves fitted by the Baranyi and Roberts model were developed using DMFit software. The growth rate was converted to the square root and then modeled as a function of temperature using the Ratkowsky square root model. Incubation temperature exerted a pronounced effect on the inhibition of all bacterial species (P<0.0001), with the greatest effect observed for E. coli at 30°C (P<0.0001), and the least effect for V. parahaemolyticus (P=0.0878). The inhibitory effect of GlcNAc in chitin hydrolysate was only significant for E. coli (P<0.0001) and S. aureus (P=0.0041). This study revealed that the effect of temperature in growth inhibition was more significant than GlcNAc addition. However, a reduction in bacterial growth with the addition of GlcNAc at 30°C was observed, which may be effective for food encountered thermal abuse conditions. Further investigation of the effect of GlcNAc on bacteria structure and metabolism is required to elucidate the mechanism of GlcNAc as a food preservative.
{"title":"Bioproduction of Chitin Hydrolysate Containing N-Acetylglucosamine by Serratia marcescens PT6 Crude Chitinase and Its Effects on Bacterial Growth Inhibition in Various Temperature","authors":"I. D. Puspita, S. Ratnawati, Hendri Setiawan, M. Murwantoko, Ustadi Ustadi, D. Ratkowsky, M. Tamplin","doi":"10.22146/ajche.69794","DOIUrl":"https://doi.org/10.22146/ajche.69794","url":null,"abstract":"N-acetylglucosamine (GlcNAc), a chitin monomer, can be used as a natural preservative to ensure food quality and safety. Combining natural preservatives with low storage temperature offers physical hurdles to bacterial growth in food. This study aimed to produce chitin hydrolysate containing GlcNAc using Serratia marcescens PT6 crude chitinase and investigate its effect on bacterial growth rate as a function of temperature. Crude chitinase from partial purification was used to hydrolyze 1.3% colloidal chitin. The optimal enzymatic conditions were pH 6 and 45˚C for 120 min, at an enzyme:substrate ratio of 1:1, yielding a 65.6 µg/mL GlcNAc. Inhibitory activity of hydrolysate containing 2.5-7.5 ppm GlcNAc on Escherichia coli, Staphylococcus aureus, Bacillus cereus, and Vibrio parahaemolyticus was measured at 4, 15, and 30oC in nutrient broth. Bacterial growth was measured using of optical density for each combination of GlcNAc concentration and temperature. Growth curves fitted by the Baranyi and Roberts model were developed using DMFit software. The growth rate was converted to the square root and then modeled as a function of temperature using the Ratkowsky square root model. Incubation temperature exerted a pronounced effect on the inhibition of all bacterial species (P<0.0001), with the greatest effect observed for E. coli at 30°C (P<0.0001), and the least effect for V. parahaemolyticus (P=0.0878). The inhibitory effect of GlcNAc in chitin hydrolysate was only significant for E. coli (P<0.0001) and S. aureus (P=0.0041). This study revealed that the effect of temperature in growth inhibition was more significant than GlcNAc addition. However, a reduction in bacterial growth with the addition of GlcNAc at 30°C was observed, which may be effective for food encountered thermal abuse conditions. Further investigation of the effect of GlcNAc on bacteria structure and metabolism is required to elucidate the mechanism of GlcNAc as a food preservative.","PeriodicalId":8490,"journal":{"name":"ASEAN Journal of Chemical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47237133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. Yuniati, Dhiya Dini Azmi, Eric Nurandriea, L. Qadariyah, M. Mahfud
In this study, the optimization and characterization of the colorant extraction process from sappan wood were carried out using the ultrasound-assisted extraction method. Sappan is proposed as a source of natural material wealth, producing a natural red colorant that is being needed by the community in the food sector. Based on this research, the optimum operating conditions for the extraction of sappan wood were obtained using a frequency of 40 kHz, a temperature of 60 °C, a ratio of 0.0050 g mL-1, an extraction time of 20 min, and the use of 60% ethanol solvent. Sappan wood extract created a yellow to reddish orange color at acidic pH (2-6), red at neutral pH (7) and shifted towards purplish red with increasing pH. The extract was qualitatively positive containing quinone, flavonoid, quinone, and tannin compounds, as well as several phenolic compounds detected in the Gas Chromatography Mass Spectroscopy qualitative test.
本研究采用超声波辅助提取法对蓝宝石木材中着色剂的提取工艺进行了优化和表征。Sappan被认为是天然物质财富的来源，生产食品行业社区所需的天然红色着色剂。在本研究的基础上，确定了频率为40kHz、温度为60°C、萃取比为0.0050 g mL-1、萃取时间为20min、使用60%乙醇溶剂提取蓝宝石木材的最佳操作条件。Sappan木提取物在酸性pH（2-6）下呈现黄色至红橙色，在中性pH（7）下呈现红色，并随着pH的增加而变为紫红色。该提取物含有醌、类黄酮、醌和单宁化合物，以及气相色谱-质谱定性测试中检测到的几种酚类化合物。
{"title":"Parametric Study and Characterization of Sappan Wood (Caesalpinia Sappan Linn) Natural Red Colorant Extract with Ultrasonic Assisted Extraction Method","authors":"Y. Yuniati, Dhiya Dini Azmi, Eric Nurandriea, L. Qadariyah, M. Mahfud","doi":"10.22146/ajche.77249","DOIUrl":"https://doi.org/10.22146/ajche.77249","url":null,"abstract":"In this study, the optimization and characterization of the colorant extraction process from sappan wood were carried out using the ultrasound-assisted extraction method. Sappan is proposed as a source of natural material wealth, producing a natural red colorant that is being needed by the community in the food sector. Based on this research, the optimum operating conditions for the extraction of sappan wood were obtained using a frequency of 40 kHz, a temperature of 60 °C, a ratio of 0.0050 g mL-1, an extraction time of 20 min, and the use of 60% ethanol solvent. Sappan wood extract created a yellow to reddish orange color at acidic pH (2-6), red at neutral pH (7) and shifted towards purplish red with increasing pH. The extract was qualitatively positive containing quinone, flavonoid, quinone, and tannin compounds, as well as several phenolic compounds detected in the Gas Chromatography Mass Spectroscopy qualitative test.","PeriodicalId":8490,"journal":{"name":"ASEAN Journal of Chemical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49121194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Buasri, Suthita Lertnimit, Arnon Nisapruksachart, Issara Khunkha, V. Loryuenyong
A potential alternative fuel option is biodiesel, which is produced mostly from natural resources due to the limited availability of petroleum supplies and environmental issues. Waste cooking oil (WCO) containing a high concentration of free fatty acid (FFA) can be transformed into biodiesel, which substantially benefits the environment and for reducing the fuel . The use of smectite clay as a catalyst in the esterification reaction of WCO with methanol was studied. Smectite was chemically activated by sulfuric acid (H2SO4) to obtain the acid-modified smectite. The utilization of an acid-catalyzed esterification procedure as a pre-treatment for WCO for biodiesel synthesis has been studied in some detail. However, there aren't many effective ways to optimize this operation. The process variables used in this study's esterification of FFAs in WCO were optimized using a Box-Behnken design (BBD). At atmospheric pressure, the catalyst amount of 5.03 wt%, the methanol to WCO molar ratio of 22.38, and the reaction time of 3.01 h are the optimal running parameters for accomplishing 97.96% FFA conversion. The catalyst was employed five times in a row without noticeably lowering its catalytic effectiveness. The results showed that smectite clay is an essential, low-cost, and recyclable catalyst for the esterification of FFA in WCO.
{"title":"Box-Behnken Design for Optimization on Esterification of Free Fatty Acids in Waste Cooking Oil Using Modified Smectite Clay Catalyst","authors":"A. Buasri, Suthita Lertnimit, Arnon Nisapruksachart, Issara Khunkha, V. Loryuenyong","doi":"10.22146/ajche.77009","DOIUrl":"https://doi.org/10.22146/ajche.77009","url":null,"abstract":"A potential alternative fuel option is biodiesel, which is produced mostly from natural resources due to the limited availability of petroleum supplies and environmental issues. Waste cooking oil (WCO) containing a high concentration of free fatty acid (FFA) can be transformed into biodiesel, which substantially benefits the environment and for reducing the fuel . The use of smectite clay as a catalyst in the esterification reaction of WCO with methanol was studied. Smectite was chemically activated by sulfuric acid (H2SO4) to obtain the acid-modified smectite. The utilization of an acid-catalyzed esterification procedure as a pre-treatment for WCO for biodiesel synthesis has been studied in some detail. However, there aren't many effective ways to optimize this operation. The process variables used in this study's esterification of FFAs in WCO were optimized using a Box-Behnken design (BBD). At atmospheric pressure, the catalyst amount of 5.03 wt%, the methanol to WCO molar ratio of 22.38, and the reaction time of 3.01 h are the optimal running parameters for accomplishing 97.96% FFA conversion. The catalyst was employed five times in a row without noticeably lowering its catalytic effectiveness. The results showed that smectite clay is an essential, low-cost, and recyclable catalyst for the esterification of FFA in WCO.","PeriodicalId":8490,"journal":{"name":"ASEAN Journal of Chemical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45670137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Barleany, J. Jayanudin, Nasihin Nasihin, Mela Widiawati, Meri Yulvianti, D. K. Sari, Akbar Gunawan
Chitosan is a natural polymer derived from different starting materials such as fish scales, crab and shrimp shells. Due to the advantages like biocompatibility and biodegradability, chitosan has been widely used in hydrogel development. This current study aims to make chitosan from shrimp shells, synthesize hydrogel from chitosan, and observe the effect of various chitosan preparation treatments on the properties of the hydrogel. The preparation of chitosan was carried out through demineralization, deproteinization, and deacetylation process. HCl concentration during demineralization and NaOH concentration during deproteinization were varied (1; 1,5; 2) M and (1; 1,5; 2) M, respectively. Chitin deacetylation was conducted using 60% (w/v) of NaOH at the temperature of 90oC for 120 min, and chitosan was resulted. Chitosan based hydrogel was then synthesized with the addition of alginate and glutaraldehyde. The effect of HCl and NaOH concentrations during demineralization and deproteinization on the deacetylation degree of chitosan was observed. The effect of deacetylation degree of chitosan on the degree of crosslinking and swelling property of the hydrogel were also evaluated. Chitosan resulted from this study has the optimum degree of deacetylation at 57.28 %, resulting from demineralization by using HCl 2M and deproteinization with NaOH2 M. Higher deacetilation degree of chitosan causing the increase of the degree of cross-linking and decrease of the swelling capacity of the hydrogel. The highest degree of cross-linking is 78.85 %, and the swelling capacity is 47 %.
{"title":"Hydrogel Preparation from Shrimp Shell-Based Chitosan: The Degree of Crosslinking and Swelling Study","authors":"D. Barleany, J. Jayanudin, Nasihin Nasihin, Mela Widiawati, Meri Yulvianti, D. K. Sari, Akbar Gunawan","doi":"10.22146/ajche.73716","DOIUrl":"https://doi.org/10.22146/ajche.73716","url":null,"abstract":"Chitosan is a natural polymer derived from different starting materials such as fish scales, crab and shrimp shells. Due to the advantages like biocompatibility and biodegradability, chitosan has been widely used in hydrogel development. This current study aims to make chitosan from shrimp shells, synthesize hydrogel from chitosan, and observe the effect of various chitosan preparation treatments on the properties of the hydrogel. The preparation of chitosan was carried out through demineralization, deproteinization, and deacetylation process. HCl concentration during demineralization and NaOH concentration during deproteinization were varied (1; 1,5; 2) M and (1; 1,5; 2) M, respectively. Chitin deacetylation was conducted using 60% (w/v) of NaOH at the temperature of 90oC for 120 min, and chitosan was resulted. Chitosan based hydrogel was then synthesized with the addition of alginate and glutaraldehyde. The effect of HCl and NaOH concentrations during demineralization and deproteinization on the deacetylation degree of chitosan was observed. The effect of deacetylation degree of chitosan on the degree of crosslinking and swelling property of the hydrogel were also evaluated. Chitosan resulted from this study has the optimum degree of deacetylation at 57.28 %, resulting from demineralization by using HCl 2M and deproteinization with NaOH2 M. Higher deacetilation degree of chitosan causing the increase of the degree of cross-linking and decrease of the swelling capacity of the hydrogel. The highest degree of cross-linking is 78.85 %, and the swelling capacity is 47 %.","PeriodicalId":8490,"journal":{"name":"ASEAN Journal of Chemical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47033827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recycling polyethylene terephthalate (r-PET) bottles is a sustainable solution for reducing the accumulation of r-PET in landfills. The primary goal of this study is to determine the viability of combining fibers derived from waste r-PET bottles (r-PET) and date palm fibers (DPF) to produce hybrid unsaturated polyester (UP)-based composites. Hand lay-up was used to make the UP/r-PET/DPF composites, which had 10%, 20%, and 30% r-PET and date palm fibers by weight, with equal weights of the two. Recycled r-PET bottles and date palm leaflets were cut into 5–10 mm lengths and incorporated into the UP matrix. The composites were characterized by their flexural, morphological, thermal, dynamical mechanical, and water absorption characteristics. The thermal behavior of the composites improved when r-PET and DPF were added at high temperatures. However, the composites' flexural strength and storage modulus decreased due to their non-uniform distribution, which made it hard for the fillers to adhere to the UP matrix. SEM micrographs of the composite's fracture surfaces showed that the amount of agglomeration eventually increased as the filler loading increased. Lastly, the composites showed significant resistance to water absorption with lower proportions of DPF and r-PET fibers.
{"title":"Thermal and Physical Properties of Hybrid Composites Made from Used PET Bottles and Date Palm Fibers Filled with Unsaturated Polyester","authors":"T. Habila, Y. Meftah, S. Maou","doi":"10.22146/ajche.82419","DOIUrl":"https://doi.org/10.22146/ajche.82419","url":null,"abstract":"Recycling polyethylene terephthalate (r-PET) bottles is a sustainable solution for reducing the accumulation of r-PET in landfills. The primary goal of this study is to determine the viability of combining fibers derived from waste r-PET bottles (r-PET) and date palm fibers (DPF) to produce hybrid unsaturated polyester (UP)-based composites. Hand lay-up was used to make the UP/r-PET/DPF composites, which had 10%, 20%, and 30% r-PET and date palm fibers by weight, with equal weights of the two. Recycled r-PET bottles and date palm leaflets were cut into 5–10 mm lengths and incorporated into the UP matrix. The composites were characterized by their flexural, morphological, thermal, dynamical mechanical, and water absorption characteristics. The thermal behavior of the composites improved when r-PET and DPF were added at high temperatures. However, the composites' flexural strength and storage modulus decreased due to their non-uniform distribution, which made it hard for the fillers to adhere to the UP matrix. SEM micrographs of the composite's fracture surfaces showed that the amount of agglomeration eventually increased as the filler loading increased. Lastly, the composites showed significant resistance to water absorption with lower proportions of DPF and r-PET fibers.","PeriodicalId":8490,"journal":{"name":"ASEAN Journal of Chemical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47217191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Raphael Angelo Mondragon, Sasipa Boonyubol, Shuo Cheng, J. Cross
Thermal energy storage systems that use composite phase change materials (CPCM), such as paraffin wax and nonbiodegradable high-density polyethylene, are gaining attention in recent years due to the effort to resolve energy issues. There is a need to undertake research and development on how to prepare durable CPCMs from thermo-chemically treated biowastes, a renewable resource. Raw spent coffee grounds (SCG) have been experimented on previously, but more research needs to be conducted on CPCMs prepared from pyrolyzed SCG-biochar (SCGB) for use in a water tank. This research investigated a biodegradable CPCM made from SCGB and carnauba wax in a lab-scale solar water heater system. The carnauba wax loading of 60% was chosen due to the minimized thermal wax leakage from the PCM. Thermal characterization results revealed that the latent heat of SCGB CPCM is 88.47 J/g which was found to be competitive compared to other biodegradable CPCMs reported earlier. The results also show further potential for using SCGB and carnauba wax as a CPCM in a thermal energy storage system.
{"title":"Spent Coffee Grounds Biochar Composite Phase Change Material Design Challenges in a Lab-Scale Solar Water Heater System for Thermal Energy Storage","authors":"Raphael Angelo Mondragon, Sasipa Boonyubol, Shuo Cheng, J. Cross","doi":"10.22146/ajche.80081","DOIUrl":"https://doi.org/10.22146/ajche.80081","url":null,"abstract":"Thermal energy storage systems that use composite phase change materials (CPCM), such as paraffin wax and nonbiodegradable high-density polyethylene, are gaining attention in recent years due to the effort to resolve energy issues. There is a need to undertake research and development on how to prepare durable CPCMs from thermo-chemically treated biowastes, a renewable resource. Raw spent coffee grounds (SCG) have been experimented on previously, but more research needs to be conducted on CPCMs prepared from pyrolyzed SCG-biochar (SCGB) for use in a water tank. This research investigated a biodegradable CPCM made from SCGB and carnauba wax in a lab-scale solar water heater system. The carnauba wax loading of 60% was chosen due to the minimized thermal wax leakage from the PCM. Thermal characterization results revealed that the latent heat of SCGB CPCM is 88.47 J/g which was found to be competitive compared to other biodegradable CPCMs reported earlier. The results also show further potential for using SCGB and carnauba wax as a CPCM in a thermal energy storage system.","PeriodicalId":8490,"journal":{"name":"ASEAN Journal of Chemical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47909439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Muharja, A. Widjaja, Rizki Fitria Darmayanti, B. Airlangga, R. P. Anugraha, M. Fauziyah, Eko Wijanarto, Mohammad Sholehuddin, Achri Isnan Khamil
Heat recovery is considered as the key to improve energy efficiency in the process design. An appropriate heat exchanger network (HEN) design is an effective tool to maximize heat recovery from the process streams and to minimize energy consumption. The objectives of this study were arranging optimum HEN based on the annual cost in the power industry. HEN in the Paiton Steam Power Plant, East Java, Indonesia, was designed using spreadsheet and Aspen Energy Analyzer with Peng-Robinson equation. Pinch analysis was conducted by comparing Tmin (10°C - 19°C) to obtain Maximum Energy Recovery (MER) and Heat Exchanger Area (HEA). The HEN design was optimized using grid diagram. Simulation in this study succeeded to reduce the annual cost the most effectively at ∆Tmin 16°C. This design optimized the process integration and contributed to the capital, operation, and total annual cost reduction of 14.3%. The maximum energy recovery was 286,706 kW and HEA 138.790 m2. This result is a solution for Steam Power Plant as an effort for enhancing energy efficiency and the company competitiveness.
在工艺设计中，热回收被认为是提高能源效率的关键。适当的热交换器网络（HEN）设计是最大限度地提高工艺流的热回收率和最大限度地降低能耗的有效工具。本研究的目的是根据电力行业的年度成本安排最佳HEN。印度尼西亚东爪哇派顿蒸汽发电厂的HEN是使用电子表格和Aspen Energy Analyzer和Peng-Robinson方程设计的。通过比较Tmin（10°C-19°C）进行夹点分析，以获得最大能量回收率（MER）和换热器面积（HEA）。使用网格图对HEN的设计进行了优化。本研究中的模拟成功地在∆Tmin 16°C下最有效地降低了年度成本。该设计优化了工艺集成，有助于资本、运营和年总成本降低14.3%。最大能量回收为286706千瓦，HEA为138.790平方米。这一结果为蒸汽发电厂提供了一个解决方案，以提高能源效率和公司竞争力。
{"title":"Heat Exchanger Network (HEN) Analysis of The Power Plant Industry Using Aspen Energy Analyzer Software","authors":"M. Muharja, A. Widjaja, Rizki Fitria Darmayanti, B. Airlangga, R. P. Anugraha, M. Fauziyah, Eko Wijanarto, Mohammad Sholehuddin, Achri Isnan Khamil","doi":"10.22146/ajche.72261","DOIUrl":"https://doi.org/10.22146/ajche.72261","url":null,"abstract":"Heat recovery is considered as the key to improve energy efficiency in the process design. An appropriate heat exchanger network (HEN) design is an effective tool to maximize heat recovery from the process streams and to minimize energy consumption. The objectives of this study were arranging optimum HEN based on the annual cost in the power industry. HEN in the Paiton Steam Power Plant, East Java, Indonesia, was designed using spreadsheet and Aspen Energy Analyzer with Peng-Robinson equation. Pinch analysis was conducted by comparing Tmin (10°C - 19°C) to obtain Maximum Energy Recovery (MER) and Heat Exchanger Area (HEA). The HEN design was optimized using grid diagram. Simulation in this study succeeded to reduce the annual cost the most effectively at ∆Tmin 16°C. This design optimized the process integration and contributed to the capital, operation, and total annual cost reduction of 14.3%. The maximum energy recovery was 286,706 kW and HEA 138.790 m2. This result is a solution for Steam Power Plant as an effort for enhancing energy efficiency and the company competitiveness.","PeriodicalId":8490,"journal":{"name":"ASEAN Journal of Chemical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49544805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lalak Tarbiyatun Nasyin Maleiva, C. Purnomo, Putranty Widha Nugraheni, E. Kusumawardhani, L. Putra
The number of primary energy sources in Indonesia will run out quickly. Therefore, innovation is required to provide renewable energy sources (NRE) that accommodate the increasing energy necessities. Hydrothermal is the potential degradation process of plastic waste to generate NRE. This study aims to examine the effectiveness of the hydrothermal process in breaking down bulky raw materials and the role of zeolite as a catalyst to upgrade the quality of hydrochar as a novel solid fuel by evaluating the essential parameters through proximate and ultimate analysis. The addition of zeolite in the hydrothermal process can increase the water content, ash content, and volatile matter and slightly decrease the calorific value and fixed carbon. The condition to obtain the best characteristics was temperature of 220 oC and the addition of 20 % zeolite.
{"title":"Zeolite Effect on Solid Product Characteristics in Hydrothermal Treatment of Household Waste","authors":"Lalak Tarbiyatun Nasyin Maleiva, C. Purnomo, Putranty Widha Nugraheni, E. Kusumawardhani, L. Putra","doi":"10.22146/ajche.77544","DOIUrl":"https://doi.org/10.22146/ajche.77544","url":null,"abstract":"The number of primary energy sources in Indonesia will run out quickly. Therefore, innovation is required to provide renewable energy sources (NRE) that accommodate the increasing energy necessities. Hydrothermal is the potential degradation process of plastic waste to generate NRE. This study aims to examine the effectiveness of the hydrothermal process in breaking down bulky raw materials and the role of zeolite as a catalyst to upgrade the quality of hydrochar as a novel solid fuel by evaluating the essential parameters through proximate and ultimate analysis. The addition of zeolite in the hydrothermal process can increase the water content, ash content, and volatile matter and slightly decrease the calorific value and fixed carbon. The condition to obtain the best characteristics was temperature of 220 oC and the addition of 20 % zeolite.","PeriodicalId":8490,"journal":{"name":"ASEAN Journal of Chemical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46763422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Drajat Indah Mawarni, W. E. Juwana, I. Catrawedarma, K. A. Yuana, W. Budhijanto, D. Deendarlianto, I. Indarto
The bubble breakup pattern on a swirl-type bubble generator (MBG) with water and air fluids was experimentally studied. The bubble breakup pattern was analyzed visually and characterized using several parameters such as Pressure Drop (∆P), Kolmogorov Entropy, Standard Deviation, and DWT (Discrete Wavelet Transform), which were taken from the extraction of pressure signals at the water inlet and outlet of the bubble generator. The wavelet spectrum of the measured signal was shown to identify the overall bubble breakup pattern, and the wavelet variance vector is proposed as a character vector to identify the bubble breakup pattern. The results show that there were three types of different flow breakup patterns: (1) static breakup, (2) dynamic breakup, and (3) tensile breakup. The observed bubble breakup sub-patterns can be categorized into tensile, moderate tensile, high tensile, dynamic, low dynamic, static, and high static sub-patterns. The static clustered breakup pattern has the highest wavelet energy compared to the tensile and dynamic clustered breakup.
{"title":"Statistical Characterization of Bubble Breakup Flow Structures in Swirl-Type Bubble Generator Systems","authors":"Drajat Indah Mawarni, W. E. Juwana, I. Catrawedarma, K. A. Yuana, W. Budhijanto, D. Deendarlianto, I. Indarto","doi":"10.22146/ajche.78558","DOIUrl":"https://doi.org/10.22146/ajche.78558","url":null,"abstract":"The bubble breakup pattern on a swirl-type bubble generator (MBG) with water and air fluids was experimentally studied. The bubble breakup pattern was analyzed visually and characterized using several parameters such as Pressure Drop (∆P), Kolmogorov Entropy, Standard Deviation, and DWT (Discrete Wavelet Transform), which were taken from the extraction of pressure signals at the water inlet and outlet of the bubble generator. The wavelet spectrum of the measured signal was shown to identify the overall bubble breakup pattern, and the wavelet variance vector is proposed as a character vector to identify the bubble breakup pattern. The results show that there were three types of different flow breakup patterns: (1) static breakup, (2) dynamic breakup, and (3) tensile breakup. The observed bubble breakup sub-patterns can be categorized into tensile, moderate tensile, high tensile, dynamic, low dynamic, static, and high static sub-patterns. The static clustered breakup pattern has the highest wavelet energy compared to the tensile and dynamic clustered breakup.","PeriodicalId":8490,"journal":{"name":"ASEAN Journal of Chemical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46304029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The success rate of matrix acidizing in hydraulic fractured sandstone formation is less than 55%, much lower compared to the more than 91% success rate in carbonate formation. The need for alternative approaches to help the success ratio in matrix acidizing is crucial. This paper demonstrates a modeling technique to improve the success ratio of matrix acidizing in a hydraulic fractured sandstone formation. Supervised machine learning with 4 models of a neural network, logistic regression, tree, and random forest was selected to predict the successfulness of matrix acidizing in hydraulic fracturing. In parallel, multivariate analysis of principal component regression and partial least square regression approach were utilized to predict the oil gain of the job. For qualitative prediction, the results showed that the random forest was the best model to predict the successfulness of the job with the area under the curve (AUC) of 0.68 and precision of 0.73 in the training model with 70% of the data. Subsequently, the validation test with the rest of the data (30% data) gave 0.51 AUC and 61% precision. For quantitative prediction, the net oil gain was evaluated by using principal component regression (PCR) and partial least square regression (PLS-R). The PCR and PLS-R model gave a coefficient of determination (Rsquare) of 0.22 and 0.35, respectively. The p-value of PLS-R was 0.047 (95% confidence interval) which indicates that the model is significant. The results of this work demonstrate the potential application of supervised machine learning, principal component regression, and partial least square regression to improve candidate selection of oil wells for matrix acidizing especially in hydraulic fractured wells with limited design data.
{"title":"Supervised Machine Learning and Multiple Regression Approach to Predict Successfulness of Matrix Acidizing in Hydraulic Fractured Sandstone Formation","authors":"Candra Kurniawan, M. M. Azis, T. Ariyanto","doi":"10.22146/ajche.78255","DOIUrl":"https://doi.org/10.22146/ajche.78255","url":null,"abstract":"The success rate of matrix acidizing in hydraulic fractured sandstone formation is less than 55%, much lower compared to the more than 91% success rate in carbonate formation. The need for alternative approaches to help the success ratio in matrix acidizing is crucial. This paper demonstrates a modeling technique to improve the success ratio of matrix acidizing in a hydraulic fractured sandstone formation. Supervised machine learning with 4 models of a neural network, logistic regression, tree, and random forest was selected to predict the successfulness of matrix acidizing in hydraulic fracturing. In parallel, multivariate analysis of principal component regression and partial least square regression approach were utilized to predict the oil gain of the job. For qualitative prediction, the results showed that the random forest was the best model to predict the successfulness of the job with the area under the curve (AUC) of 0.68 and precision of 0.73 in the training model with 70% of the data. Subsequently, the validation test with the rest of the data (30% data) gave 0.51 AUC and 61% precision. For quantitative prediction, the net oil gain was evaluated by using principal component regression (PCR) and partial least square regression (PLS-R). The PCR and PLS-R model gave a coefficient of determination (Rsquare) of 0.22 and 0.35, respectively. The p-value of PLS-R was 0.047 (95% confidence interval) which indicates that the model is significant. The results of this work demonstrate the potential application of supervised machine learning, principal component regression, and partial least square regression to improve candidate selection of oil wells for matrix acidizing especially in hydraulic fractured wells with limited design data.","PeriodicalId":8490,"journal":{"name":"ASEAN Journal of Chemical Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42553103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：