Novel Dynamic Cleaning Model for Cyclic Operation of Biodiesel Membrane Reactors
A membrane reactor produces high-quality biodiesel by combining both reaction and separation in a single unit. However, the reactor has disadvantages such as high operating expense and reduced efficiency over time due to membrane fouling. To solve this issue, frequent cleaning with physical and chem...
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AIDIC Servizi S.r.l.
2021
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oai:doaj.org-article:a716c62961844159aeb5ed063b67c68e2021-11-15T21:47:33ZNovel Dynamic Cleaning Model for Cyclic Operation of Biodiesel Membrane Reactors10.3303/CET21881472283-9216https://doaj.org/article/a716c62961844159aeb5ed063b67c68e2021-11-01T00:00:00Zhttps://www.cetjournal.it/index.php/cet/article/view/11940https://doaj.org/toc/2283-9216A membrane reactor produces high-quality biodiesel by combining both reaction and separation in a single unit. However, the reactor has disadvantages such as high operating expense and reduced efficiency over time due to membrane fouling. To solve this issue, frequent cleaning with physical and chemical methods is required. Membrane cleaning contributes to the reactor’s operating cost to a large extent, including energy, chemicals and even production loss. Although there have been studies undertaken focusing on improving membrane cleaning, optimizing the performance of the membrane reactor in biodiesel production has received limited attention. In this work, a novel membrane cleaning model is presented and used to optimize the membrane reactor efficiency in terms of biodiesel yield and cleaning costs. The model captures the dynamic states of reversible and irreversible membrane fouling during the cleaning process. It is further used to evaluate the effects of backwashing and chemical cleaning on the membrane reactor. The results show that the number of backwashes during operation is a crucial factor to improve reactor productivity and reduce the cleaning cost. The membrane reactor’s operating time rose 2 to 3 times when the operating period between two backwashes, or an operating cycle, reduced from 70 min to 15 min. The biodiesel yield increased significantly due to the extended operation. However, longer operating time led to an accumulation of more irreversible fouling, which could not be removed by backwashing. The cost of chemical cleaning rose as the irreversible fouling level increased. Regarding the cost-to-yield ratio of the biodiesel reactor, the best operating conditions were found at the operating cycle of 25 minutes between 2 backwashes. Overall, the cleaning model allows the prediction and reduction of the cleaning expense of the membrane reactor, increasing its potential as a biodiesel production technology significantly.Thien An HuynhMaryam RaeisiMeik B. FrankeEdwin ZondervanAIDIC Servizi S.r.l.articleChemical engineeringTP155-156Computer engineering. Computer hardwareTK7885-7895ENChemical Engineering Transactions, Vol 88 (2021) |
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Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895 |
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Chemical engineering TP155-156 Computer engineering. Computer hardware TK7885-7895 Thien An Huynh Maryam Raeisi Meik B. Franke Edwin Zondervan Novel Dynamic Cleaning Model for Cyclic Operation of Biodiesel Membrane Reactors |
description |
A membrane reactor produces high-quality biodiesel by combining both reaction and separation in a single unit. However, the reactor has disadvantages such as high operating expense and reduced efficiency over time due to membrane fouling. To solve this issue, frequent cleaning with physical and chemical methods is required. Membrane cleaning contributes to the reactor’s operating cost to a large extent, including energy, chemicals and even production loss. Although there have been studies undertaken focusing on improving membrane cleaning, optimizing the performance of the membrane reactor in biodiesel production has received limited attention. In this work, a novel membrane cleaning model is presented and used to optimize the membrane reactor efficiency in terms of biodiesel yield and cleaning costs. The model captures the dynamic states of reversible and irreversible membrane fouling during the cleaning process. It is further used to evaluate the effects of backwashing and chemical cleaning on the membrane reactor. The results show that the number of backwashes during operation is a crucial factor to improve reactor productivity and reduce the cleaning cost. The membrane reactor’s operating time rose 2 to 3 times when the operating period between two backwashes, or an operating cycle, reduced from 70 min to 15 min. The biodiesel yield increased significantly due to the extended operation. However, longer operating time led to an accumulation of more irreversible fouling, which could not be removed by backwashing. The cost of chemical cleaning rose as the irreversible fouling level increased. Regarding the cost-to-yield ratio of the biodiesel reactor, the best operating conditions were found at the operating cycle of 25 minutes between 2 backwashes. Overall, the cleaning model allows the prediction and reduction of the cleaning expense of the membrane reactor, increasing its potential as a biodiesel production technology significantly. |
format |
article |
author |
Thien An Huynh Maryam Raeisi Meik B. Franke Edwin Zondervan |
author_facet |
Thien An Huynh Maryam Raeisi Meik B. Franke Edwin Zondervan |
author_sort |
Thien An Huynh |
title |
Novel Dynamic Cleaning Model for Cyclic Operation of Biodiesel Membrane Reactors |
title_short |
Novel Dynamic Cleaning Model for Cyclic Operation of Biodiesel Membrane Reactors |
title_full |
Novel Dynamic Cleaning Model for Cyclic Operation of Biodiesel Membrane Reactors |
title_fullStr |
Novel Dynamic Cleaning Model for Cyclic Operation of Biodiesel Membrane Reactors |
title_full_unstemmed |
Novel Dynamic Cleaning Model for Cyclic Operation of Biodiesel Membrane Reactors |
title_sort |
novel dynamic cleaning model for cyclic operation of biodiesel membrane reactors |
publisher |
AIDIC Servizi S.r.l. |
publishDate |
2021 |
url |
https://doaj.org/article/a716c62961844159aeb5ed063b67c68e |
work_keys_str_mv |
AT thienanhuynh noveldynamiccleaningmodelforcyclicoperationofbiodieselmembranereactors AT maryamraeisi noveldynamiccleaningmodelforcyclicoperationofbiodieselmembranereactors AT meikbfranke noveldynamiccleaningmodelforcyclicoperationofbiodieselmembranereactors AT edwinzondervan noveldynamiccleaningmodelforcyclicoperationofbiodieselmembranereactors |
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1718426804621934592 |