用模糊控制器控制棕榈油厂废水暗发酵生物反应器的温度和pH值

IF 0.6 Q3 ENGINEERING, MULTIDISCIPLINARY Jurnal Kejuruteraan Pub Date : 2023-03-30 DOI:10.17576/jkukm-2023-35(2)-16
Ikhmal Zariq Al Imran Jamal Ikhsan, N. Abd. Rahman, J. Mohd Ali
{"title":"用模糊控制器控制棕榈油厂废水暗发酵生物反应器的温度和pH值","authors":"Ikhmal Zariq Al Imran Jamal Ikhsan, N. Abd. Rahman, J. Mohd Ali","doi":"10.17576/jkukm-2023-35(2)-16","DOIUrl":null,"url":null,"abstract":"Hydrogen is the main choice of renewable fuel since it brings significant benefits compared with the other conventional fuels, such as the use of waste substrate, cleaner and highest energy density. Biological hydrogen production route is cost efficient since it can be processed in ambient conditions, easy operational techniques while keeping the environment safe. Dark fermentation to produce bio-hydrogen has received widespread attention from researchers in the present decades especially due to not requires light sources. This work is a study of the optimization of process conditions particularly pH and temperature of a dark fermentation bioreactor to produce Bio-H2 from palm oil mill effluent (POME) by using fuzzy logic controller. The simulation started by developing process and instrumentation diagram (P&ID) of bioreactor. Then a conventional PID controller and fuzzy logic controller were simulated by using MATLAB SIMULINK and the results were compared with each other in terms of safety aspect. The temperature of 37oC and pH of 6 is the optimum conditions that needs to be maintained to yield the hydrogen at 2.79 mol H2 mol-1 glucose. The pH is able to reach optimum value at 600s and 30s by using the PID controller and fuzzy logic controller, respectively. Same goes to temperature control, where the parameter reaches optimum value at 200s and 0.3s respectively. Based on these promising results, fuzzy logic controller is a good replacement for the conventional control systems since it requires shorter time to optimize process conditions, consequently making sure the safety aspect is well guaranteed.","PeriodicalId":17688,"journal":{"name":"Jurnal Kejuruteraan","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Temperature and pH Control of Dark Fermentation Bioreactor to Produce Biohydrogen from Palm Oil Mill Effluent by Using Fuzzy Logic Controller\",\"authors\":\"Ikhmal Zariq Al Imran Jamal Ikhsan, N. Abd. Rahman, J. Mohd Ali\",\"doi\":\"10.17576/jkukm-2023-35(2)-16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hydrogen is the main choice of renewable fuel since it brings significant benefits compared with the other conventional fuels, such as the use of waste substrate, cleaner and highest energy density. Biological hydrogen production route is cost efficient since it can be processed in ambient conditions, easy operational techniques while keeping the environment safe. Dark fermentation to produce bio-hydrogen has received widespread attention from researchers in the present decades especially due to not requires light sources. This work is a study of the optimization of process conditions particularly pH and temperature of a dark fermentation bioreactor to produce Bio-H2 from palm oil mill effluent (POME) by using fuzzy logic controller. The simulation started by developing process and instrumentation diagram (P&ID) of bioreactor. Then a conventional PID controller and fuzzy logic controller were simulated by using MATLAB SIMULINK and the results were compared with each other in terms of safety aspect. The temperature of 37oC and pH of 6 is the optimum conditions that needs to be maintained to yield the hydrogen at 2.79 mol H2 mol-1 glucose. The pH is able to reach optimum value at 600s and 30s by using the PID controller and fuzzy logic controller, respectively. Same goes to temperature control, where the parameter reaches optimum value at 200s and 0.3s respectively. Based on these promising results, fuzzy logic controller is a good replacement for the conventional control systems since it requires shorter time to optimize process conditions, consequently making sure the safety aspect is well guaranteed.\",\"PeriodicalId\":17688,\"journal\":{\"name\":\"Jurnal Kejuruteraan\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal Kejuruteraan\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17576/jkukm-2023-35(2)-16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Kejuruteraan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17576/jkukm-2023-35(2)-16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

氢气是可再生燃料的主要选择,因为它与其他传统燃料相比具有显着的优势,例如使用废基材,更清洁,能量密度最高。生物制氢路线具有成本效益,因为它可以在环境条件下进行处理,操作技术简单,同时保持环境安全。暗发酵生产生物氢在近几十年来受到了研究人员的广泛关注,特别是由于暗发酵不需要光源。本研究是利用模糊逻辑控制器对棕榈油厂废水(POME)暗发酵生物反应器生产Bio-H2的工艺条件,特别是pH和温度进行优化研究。仿真从生物反应器的工艺流程及仪表图(P&ID)开始。然后利用MATLAB SIMULINK对传统PID控制器和模糊逻辑控制器进行了仿真,并从安全性方面对结果进行了比较。温度37℃,pH 6是产氢2.79 mol H2 mol-1葡萄糖的最佳条件。通过PID控制器和模糊控制器,pH值分别在600s和30s时达到最优值。温度控制也是如此,参数分别在200s和0.3s达到最优值。基于这些有希望的结果,模糊控制器是传统控制系统的一个很好的替代品,因为它需要更短的时间来优化过程条件,从而确保安全方面得到很好的保证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Temperature and pH Control of Dark Fermentation Bioreactor to Produce Biohydrogen from Palm Oil Mill Effluent by Using Fuzzy Logic Controller
Hydrogen is the main choice of renewable fuel since it brings significant benefits compared with the other conventional fuels, such as the use of waste substrate, cleaner and highest energy density. Biological hydrogen production route is cost efficient since it can be processed in ambient conditions, easy operational techniques while keeping the environment safe. Dark fermentation to produce bio-hydrogen has received widespread attention from researchers in the present decades especially due to not requires light sources. This work is a study of the optimization of process conditions particularly pH and temperature of a dark fermentation bioreactor to produce Bio-H2 from palm oil mill effluent (POME) by using fuzzy logic controller. The simulation started by developing process and instrumentation diagram (P&ID) of bioreactor. Then a conventional PID controller and fuzzy logic controller were simulated by using MATLAB SIMULINK and the results were compared with each other in terms of safety aspect. The temperature of 37oC and pH of 6 is the optimum conditions that needs to be maintained to yield the hydrogen at 2.79 mol H2 mol-1 glucose. The pH is able to reach optimum value at 600s and 30s by using the PID controller and fuzzy logic controller, respectively. Same goes to temperature control, where the parameter reaches optimum value at 200s and 0.3s respectively. Based on these promising results, fuzzy logic controller is a good replacement for the conventional control systems since it requires shorter time to optimize process conditions, consequently making sure the safety aspect is well guaranteed.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Jurnal Kejuruteraan
Jurnal Kejuruteraan ENGINEERING, MULTIDISCIPLINARY-
自引率
16.70%
发文量
0
审稿时长
24 weeks
期刊最新文献
3D Printed Carbon Fibre Reinforced Polyamides in High Temperature An App for Parking with Indoor Navigation Facility Numerical Analysis of Structural Batteries Response with the Presence of Uncertainty Experimental Investigation of Mechanical and Microstructural Properties of Concrete Containing Bentonite and Dolomite as a Partial Replacement of Cement The Design of Stroke Rehabilitation Using Artificial Intelligence K.A.K.I (Kinesthetic Augmented Kinematic Inference)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1