Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Optimal Cleaning Cycle Scheduling under Uncertain Conditions: A Flexibility Analysis on Heat Exchanger Fouling
by
D’Iglio, Francesco
, Di Pretoro, Alessandro
, Manenti, Flavio
in
Algorithms
/ Batch processes
/ Case studies
/ Chemical and Process Engineering
/ Chemical cleaning
/ Decision making
/ Economic analysis
/ Economic impact
/ Economics
/ Engineering Sciences
/ Flexibility
/ Fouling
/ GNP
/ Gross National Product
/ Heat exchangers
/ Heat recovery systems
/ Heat transfer
/ Industrial applications
/ Multiple criterion
/ Optimization
/ Process engineering
/ Profitability
/ Scheduling
/ Sensitivity analysis
/ Shutdowns
/ Uncertainty analysis
2021
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Optimal Cleaning Cycle Scheduling under Uncertain Conditions: A Flexibility Analysis on Heat Exchanger Fouling
by
D’Iglio, Francesco
, Di Pretoro, Alessandro
, Manenti, Flavio
in
Algorithms
/ Batch processes
/ Case studies
/ Chemical and Process Engineering
/ Chemical cleaning
/ Decision making
/ Economic analysis
/ Economic impact
/ Economics
/ Engineering Sciences
/ Flexibility
/ Fouling
/ GNP
/ Gross National Product
/ Heat exchangers
/ Heat recovery systems
/ Heat transfer
/ Industrial applications
/ Multiple criterion
/ Optimization
/ Process engineering
/ Profitability
/ Scheduling
/ Sensitivity analysis
/ Shutdowns
/ Uncertainty analysis
2021
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Optimal Cleaning Cycle Scheduling under Uncertain Conditions: A Flexibility Analysis on Heat Exchanger Fouling
by
D’Iglio, Francesco
, Di Pretoro, Alessandro
, Manenti, Flavio
in
Algorithms
/ Batch processes
/ Case studies
/ Chemical and Process Engineering
/ Chemical cleaning
/ Decision making
/ Economic analysis
/ Economic impact
/ Economics
/ Engineering Sciences
/ Flexibility
/ Fouling
/ GNP
/ Gross National Product
/ Heat exchangers
/ Heat recovery systems
/ Heat transfer
/ Industrial applications
/ Multiple criterion
/ Optimization
/ Process engineering
/ Profitability
/ Scheduling
/ Sensitivity analysis
/ Shutdowns
/ Uncertainty analysis
2021
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Optimal Cleaning Cycle Scheduling under Uncertain Conditions: A Flexibility Analysis on Heat Exchanger Fouling
Journal Article
Optimal Cleaning Cycle Scheduling under Uncertain Conditions: A Flexibility Analysis on Heat Exchanger Fouling
2021
Request Book From Autostore
and Choose the Collection Method
Overview
Fouling is a substantial economic, energy, and safety issue for all the process industry applications, heat transfer units in particular. Although this phenomenon can be mitigated, it cannot be avoided and proper cleaning cycle scheduling is the best way to deal with it. After thorough literature research about the most reliable fouling model description, cleaning procedures have been optimized by minimizing the Time Average Losses (TAL) under nominal operating conditions according to the well-established procedure. For this purpose, different cleaning actions, namely chemical and mechanical, have been accounted for. However, this procedure is strictly related to nominal operating conditions therefore perturbations, when present, could considerably compromise the process profitability due to unexpected shutdown or extraordinary maintenance operations. After a preliminary sensitivity analysis, the uncertain variables and the corresponding disturbance likelihood were estimated. Hence, cleaning cycles were rescheduled on the basis of a stochastic flexibility index for different probability distributions to show how the uncertainty characterization affects the optimal time and economic losses. A decisional algorithm was finally conceived in order to assess the best number of chemical cleaning cycles included in a cleaning supercycle. In conclusion, this study highlights how optimal scheduling is affected by external perturbations and provides an important tool to the decision-maker in order to make a more conscious design choice based on a robust multi-criteria optimization.
Publisher
MDPI AG,MDPI
Subject
This website uses cookies to ensure you get the best experience on our website.