SlideShare a Scribd company logo
1 of 2
Download to read offline
HPIN CONTROL
PIERRE R. LATOUR, GUEST COLUMNIST
clifftent@hotmail.com
APC for min maintenance or max profit?—Part 2
While I have promoted proper control system performance
indicators'""^'' since 1964, like Dr. Y. Zak Friedman,' 1 also am
,iware of some deeper problems with realizing its full commercial
potential.-*'"""*''^'^'^' Friedman once piiblically claimed Clifftcnt"^'^
w,is no panacea,"' without seeing ii in action. Moreover, he
LÍi.irged, without any basis, that C'liHtenr, a mathematical pro-
cedure, could lead to burning down a furnace. My experience is
proper deployment of CÜiflrent to operate the HPI would mitigate
Micb events''' because ii mandates caretul modeling ofthe financial
consequences of exceeding properly set limits like burning down
liirnace.s, so operators would be using better information and
models to make appropriate .sctpoint decisions for risky tradeoffs.
I >etermining .sucb effects rather than ignoring them is the main
idea of science, mathematics and engineering. I refrain from blam-
ing MVC^, I'll), IP. SQC. feed-forward, inferentials, six-sigma,
.statistics, talculu.s or tiialhematics for burning down furnact'.s.
I have published practical examples ol using Clifftent to calcu-
late APC benefits many times for real applications'"'''''*'"^^'^*' since
[be tow-MiIlur fuel oil example^'* in HP, December 1996. I bavc
.1 library ot commercial oil refmery, olefln, aromatics, polymer,
synluels, chemicals and gas processing applications now. Every
single one is a success because it determines a profit improvement
(.sometimes small) and bow to achieve it. I recently sbowed^^ how to
(¡uaiitify the value of Friedmans alkylation control approach."^''
As for how Clifftent works, 1 have published that
too^"''''^''^*^'*'^^''^* and will repeat it here. Every controlled vari-
-ible iCV) has a risky profit tradeoff. Calculus and statistics teach
integration ofthe product of a data frequency di.stribution with
its associated profit function gives its average (expected value)
profit. Repeated integrations witb incremented data means give
ihe average profit profile vs. data mean; a smooth hill (for any
sianilard deviation >Ü). It's easy to locate the hilltop max profit
.md corresponding optimum data mean. Thats how all HI'l
sctpoints, limits, targets and specs are set now, although witb less
rigor. That's also bow C.VIKPi profit meters can be built. ' 1 he
HPI received the panacea in 1996."'
A Canadian University ChE Department included deter-
mining dynamic system financial performance, ClifTtent, in
it.s process control course in September 2009. Hopefully this
rekindled academic interest in process control and research on
building Clifftent models for integrated alarm management,
process maintenance and safety. Once a set of candidate CKs
;ind related manipulated variables (Af Ks) are established and
I be pracess operation and économies are known, good process
control engineering practicc^'^'''''^'^'^'"^^'^'* calls for determining
tbe economic sensitivity of eacb CV, their Clifftents and a vari-
,nice reduction claim for each control system design, providing
ihf appropriate sctpoint determination method and benefit for
ihat variance reduction. 7 hen the process control engineer is in a
•>olid position to design, m;untain and improve the Instruments
and control system, the process operator is in a sound posiiuin to
use it and operating company management understands it.s role
and value. They finally have a chemical engineering method for
operation that is pragmatic, prudent and profitable.
ln hct, 1 claim had one or iwo computer-integrated manufaciur-
ing (CIM) solution suppliers adopted pcrtormancc-based licensing
when it was commercialized in the mid-199üs,^"'^'^'*'^^ the land-
scape of the APC, and (^IM business in the HPI today would he
healthier, more significant and more profitable lor those suppliers
and their operating company partners. And much misguided effort
and cxpcase would have heen avoided. fViedman wouid certainly not
he proposing in a 2009 HP editorial forgoing .ÍO'^íi of APC'.perfor-
mance, worth >$ü.3()/bbl crtidere-fined,to reduce AI'C. maintetiatice
cxjsts. It would not he pragmatic, prudent or profitable.
Dr Y. Zak Friedman's HPln Control editorials continue to
serve the HPI. 1 hope I can add to them on occasion. W*
LITERATURE CITED
'" l^tour. V. R.. "Why Invesi in PRt}CRSS CONIROL?". CONTROL Vol.
XV. xS. May 2002. pp. 41-46.
''' l^aiiiur. P R., "Why tune control loops? Wby mdte control loops?", ediio-
rial guest columnist, Hydrocarbon Processing, V8I. n9. September 2(102. pp.
'" McMahon.T K., (& P. R. Latour). "CLIFFTENT For Process Optimization."
CONTROL VI7. nl2. December 2004, p. 66.
'' l^tdur. P R., "Detisions about risk reduction." litter to Editor, Hydrocarhon
Processing, V80. n6, June 2001, p. 3').
^^ Latoiit. I'. R.. "Quantifying financial values", HP In Control Guest Columnist.
Hydrucarhm lhvcrssir,g.V%{i, n7. July 2001. pp. 13-t4.
'' ljtoiir. P. R., "Align alkybiion separaiiiin to economics." HPln Cx)ntrol
liditorial, Hydrociirbiiti Processing, VHS. i i ! , lanuary 2009. p. 98.
^'' Latour. ['. R.. "Process control: t'l.ll'i'TIÍN I siiows its more profitable than
ex|TecEed," Hydnittirhon froressing, V7'i, nl2. December 1')%. pp. 7S-H().
Repiibliühed in Kane. [.es. VA, Aduamrii Process Control ami Informniion
Sysifim for the l^ocess ¡ndustrirs. Gulf Piiblisliing, Co. I')')'>. pp. .ÍI-37.
^'' Ldoiir. P. R.. "CLIFHIHNT: Determining I-ull Financial Benefit from
Improved Dynamic Performance." PajierCOI, ihirJ Intcrnarioual Conference
on l-dundaiions of C)mpurer-Aided Process Operations. Snowbird, Utah.
)uly "i—IO, l')')8. Proceedings published in AlChK Symposium Series No.
320. V94. 1998. pp. 297-302.
^'' Baker. J. A. et ul. "The Rc]X)ri ofllie BP U.S. Refineries Independent Safety
Review Panel." January 2007.
^' Friedman, Y. Z., (& G. D. Martin. P R. Latour). "APC Survey," Exchange of
Ixiiters to the Fldiior, Hydrocarbon Prficessirig., V85. nlO. OttoUr 2006. pp.
45-46 and V85, n i l . November 2006. pp. 45-52.
'" l^tour. lî R.. "Align Olefin Operations to Lxonomics - Clifiicnt optimizes
scipoints." pn-senteil at 2007 Spring AlChF. Meetinj^ Ethylene Producers
Conference, Houston. Tex;«, April 2^. 2007. Published in t^onfcrcnce
Proceedir^s CD.
''' Fricdnian. Y. Z., "Alkylatioti prcKluci separation control," HPIn Conttol
editorial. Hydrocarbon Processing, V87, n9. September 2008, p. 178.
The author, president of CLIFFTENT Inc., is an independent conr.ulting chemic.il
engineei specializing in identifying, capturing and sustaining measurable financial
value from HPI dynamic process control, IT and CIM solutions (CLIFFTENT) using
performance-based shared risk-shared reward (SR2) technology licensing
HYDROCARBON PROCESSING NOVEMBER 2009 13
©Euromoney Institutional Investor PLC. This material must be used for the customer's internal business use
only and a maximum of ten (10) hard copy print-outs may be made. No further copying or transmission of this
material is allowed without the express permission of Euromoney Institutional Investor PLC. Source:
Hydrocarbon Processing and http://www.hydrocarbonprocessing.com.

More Related Content

Similar to HPIN CONTROL: Maximizing Profit with APC

Digitalization of Engineering Silos Howell
Digitalization of Engineering Silos HowellDigitalization of Engineering Silos Howell
Digitalization of Engineering Silos HowellKBC (A Yokogawa Company)
 
Evolution of maintenance_practices
Evolution of maintenance_practicesEvolution of maintenance_practices
Evolution of maintenance_practicesDanny Khudu
 
MPalm Project Profiles
MPalm Project ProfilesMPalm Project Profiles
MPalm Project ProfilesMike Palm
 
OSIsoft White Paper "Impacting the Bottom Line" in O&G
OSIsoft White Paper "Impacting the Bottom Line" in O&GOSIsoft White Paper "Impacting the Bottom Line" in O&G
OSIsoft White Paper "Impacting the Bottom Line" in O&GTjeerd Zwijnenberg
 
ProModel Generis - Modeling Accelerates Lean
ProModel Generis - Modeling Accelerates LeanProModel Generis - Modeling Accelerates Lean
ProModel Generis - Modeling Accelerates LeanBruce Gladwin
 
[Oil & Gas White Paper] Liquids Pipeline Leak Detection and Simulation Training
[Oil & Gas White Paper] Liquids Pipeline Leak Detection and Simulation Training[Oil & Gas White Paper] Liquids Pipeline Leak Detection and Simulation Training
[Oil & Gas White Paper] Liquids Pipeline Leak Detection and Simulation TrainingSchneider Electric
 
Global supply chains and distribution new competitive strategies project peropt
Global supply chains and distribution new competitive strategies project peroptGlobal supply chains and distribution new competitive strategies project peropt
Global supply chains and distribution new competitive strategies project peroptyvwang
 
Experimental evaluation of control performance of MPC as a regulatory controller
Experimental evaluation of control performance of MPC as a regulatory controllerExperimental evaluation of control performance of MPC as a regulatory controller
Experimental evaluation of control performance of MPC as a regulatory controllerISA Interchange
 
Nuclear Power Plant Risk Informed Life Management ver 9
Nuclear Power Plant Risk Informed Life Management ver 9Nuclear Power Plant Risk Informed Life Management ver 9
Nuclear Power Plant Risk Informed Life Management ver 9Michael Lemiski, P Eng., PMP
 
Big Data Analytics for Commercial aviation and Aerospace
Big Data Analytics for Commercial aviation and AerospaceBig Data Analytics for Commercial aviation and Aerospace
Big Data Analytics for Commercial aviation and AerospaceSeda Eskiler
 
WP-117 Network-Critical Physical Infrastructure - Optimizing Business Value
WP-117 Network-Critical Physical Infrastructure - Optimizing Business ValueWP-117 Network-Critical Physical Infrastructure - Optimizing Business Value
WP-117 Network-Critical Physical Infrastructure - Optimizing Business ValueElie Massaad
 
2018 AFPM Conference Overview. A review of industry disruption ideas
2018 AFPM Conference Overview. A review of industry disruption ideas2018 AFPM Conference Overview. A review of industry disruption ideas
2018 AFPM Conference Overview. A review of industry disruption ideasorendus
 
Predictive maintenance framework for assessing health state of centrifugal pumps
Predictive maintenance framework for assessing health state of centrifugal pumpsPredictive maintenance framework for assessing health state of centrifugal pumps
Predictive maintenance framework for assessing health state of centrifugal pumpsIAESIJAI
 
The need for a fluid data centre, what that actually means, and the hurdles i...
The need for a fluid data centre, what that actually means, and the hurdles i...The need for a fluid data centre, what that actually means, and the hurdles i...
The need for a fluid data centre, what that actually means, and the hurdles i...Nordic Digital Business Summit
 
2016ARS_NA_Blue_S7_Rioux
2016ARS_NA_Blue_S7_Rioux2016ARS_NA_Blue_S7_Rioux
2016ARS_NA_Blue_S7_RiouxMichael Rioux
 
WhyInvestPROCESSCONTROL
WhyInvestPROCESSCONTROLWhyInvestPROCESSCONTROL
WhyInvestPROCESSCONTROLPierre Latour
 

Similar to HPIN CONTROL: Maximizing Profit with APC (20)

Digitalization of Engineering Silos Howell
Digitalization of Engineering Silos HowellDigitalization of Engineering Silos Howell
Digitalization of Engineering Silos Howell
 
Evolution of maintenance_practices
Evolution of maintenance_practicesEvolution of maintenance_practices
Evolution of maintenance_practices
 
MPalm Project Profiles
MPalm Project ProfilesMPalm Project Profiles
MPalm Project Profiles
 
HP0902WhyLoops
HP0902WhyLoopsHP0902WhyLoops
HP0902WhyLoops
 
OSIsoft White Paper "Impacting the Bottom Line" in O&G
OSIsoft White Paper "Impacting the Bottom Line" in O&GOSIsoft White Paper "Impacting the Bottom Line" in O&G
OSIsoft White Paper "Impacting the Bottom Line" in O&G
 
ProModel Generis - Modeling Accelerates Lean
ProModel Generis - Modeling Accelerates LeanProModel Generis - Modeling Accelerates Lean
ProModel Generis - Modeling Accelerates Lean
 
[Oil & Gas White Paper] Liquids Pipeline Leak Detection and Simulation Training
[Oil & Gas White Paper] Liquids Pipeline Leak Detection and Simulation Training[Oil & Gas White Paper] Liquids Pipeline Leak Detection and Simulation Training
[Oil & Gas White Paper] Liquids Pipeline Leak Detection and Simulation Training
 
Global supply chains and distribution new competitive strategies project peropt
Global supply chains and distribution new competitive strategies project peroptGlobal supply chains and distribution new competitive strategies project peropt
Global supply chains and distribution new competitive strategies project peropt
 
S3 DFDC Design to Cost Article
S3 DFDC Design to Cost ArticleS3 DFDC Design to Cost Article
S3 DFDC Design to Cost Article
 
Experimental evaluation of control performance of MPC as a regulatory controller
Experimental evaluation of control performance of MPC as a regulatory controllerExperimental evaluation of control performance of MPC as a regulatory controller
Experimental evaluation of control performance of MPC as a regulatory controller
 
Nuclear Power Plant Risk Informed Life Management ver 9
Nuclear Power Plant Risk Informed Life Management ver 9Nuclear Power Plant Risk Informed Life Management ver 9
Nuclear Power Plant Risk Informed Life Management ver 9
 
Big Data Analytics for Commercial aviation and Aerospace
Big Data Analytics for Commercial aviation and AerospaceBig Data Analytics for Commercial aviation and Aerospace
Big Data Analytics for Commercial aviation and Aerospace
 
WP-117 Network-Critical Physical Infrastructure - Optimizing Business Value
WP-117 Network-Critical Physical Infrastructure - Optimizing Business ValueWP-117 Network-Critical Physical Infrastructure - Optimizing Business Value
WP-117 Network-Critical Physical Infrastructure - Optimizing Business Value
 
2016 ACC Competition
2016 ACC Competition2016 ACC Competition
2016 ACC Competition
 
AlignHPIOps HP1208
AlignHPIOps HP1208AlignHPIOps HP1208
AlignHPIOps HP1208
 
2018 AFPM Conference Overview. A review of industry disruption ideas
2018 AFPM Conference Overview. A review of industry disruption ideas2018 AFPM Conference Overview. A review of industry disruption ideas
2018 AFPM Conference Overview. A review of industry disruption ideas
 
Predictive maintenance framework for assessing health state of centrifugal pumps
Predictive maintenance framework for assessing health state of centrifugal pumpsPredictive maintenance framework for assessing health state of centrifugal pumps
Predictive maintenance framework for assessing health state of centrifugal pumps
 
The need for a fluid data centre, what that actually means, and the hurdles i...
The need for a fluid data centre, what that actually means, and the hurdles i...The need for a fluid data centre, what that actually means, and the hurdles i...
The need for a fluid data centre, what that actually means, and the hurdles i...
 
2016ARS_NA_Blue_S7_Rioux
2016ARS_NA_Blue_S7_Rioux2016ARS_NA_Blue_S7_Rioux
2016ARS_NA_Blue_S7_Rioux
 
WhyInvestPROCESSCONTROL
WhyInvestPROCESSCONTROLWhyInvestPROCESSCONTROL
WhyInvestPROCESSCONTROL
 

HPIN CONTROL: Maximizing Profit with APC

  • 1. HPIN CONTROL PIERRE R. LATOUR, GUEST COLUMNIST clifftent@hotmail.com APC for min maintenance or max profit?—Part 2 While I have promoted proper control system performance indicators'""^'' since 1964, like Dr. Y. Zak Friedman,' 1 also am ,iware of some deeper problems with realizing its full commercial potential.-*'"""*''^'^'^' Friedman once piiblically claimed Clifftcnt"^'^ w,is no panacea,"' without seeing ii in action. Moreover, he LÍi.irged, without any basis, that C'liHtenr, a mathematical pro- cedure, could lead to burning down a furnace. My experience is proper deployment of CÜiflrent to operate the HPI would mitigate Micb events''' because ii mandates caretul modeling ofthe financial consequences of exceeding properly set limits like burning down liirnace.s, so operators would be using better information and models to make appropriate .sctpoint decisions for risky tradeoffs. I >etermining .sucb effects rather than ignoring them is the main idea of science, mathematics and engineering. I refrain from blam- ing MVC^, I'll), IP. SQC. feed-forward, inferentials, six-sigma, .statistics, talculu.s or tiialhematics for burning down furnact'.s. I have published practical examples ol using Clifftent to calcu- late APC benefits many times for real applications'"'''''*'"^^'^*' since [be tow-MiIlur fuel oil example^'* in HP, December 1996. I bavc .1 library ot commercial oil refmery, olefln, aromatics, polymer, synluels, chemicals and gas processing applications now. Every single one is a success because it determines a profit improvement (.sometimes small) and bow to achieve it. I recently sbowed^^ how to (¡uaiitify the value of Friedmans alkylation control approach."^'' As for how Clifftent works, 1 have published that too^"''''^''^*^'*'^^''^* and will repeat it here. Every controlled vari- -ible iCV) has a risky profit tradeoff. Calculus and statistics teach integration ofthe product of a data frequency di.stribution with its associated profit function gives its average (expected value) profit. Repeated integrations witb incremented data means give ihe average profit profile vs. data mean; a smooth hill (for any sianilard deviation >Ü). It's easy to locate the hilltop max profit .md corresponding optimum data mean. Thats how all HI'l sctpoints, limits, targets and specs are set now, although witb less rigor. That's also bow C.VIKPi profit meters can be built. ' 1 he HPI received the panacea in 1996."' A Canadian University ChE Department included deter- mining dynamic system financial performance, ClifTtent, in it.s process control course in September 2009. Hopefully this rekindled academic interest in process control and research on building Clifftent models for integrated alarm management, process maintenance and safety. Once a set of candidate CKs ;ind related manipulated variables (Af Ks) are established and I be pracess operation and économies are known, good process control engineering practicc^'^'''''^'^'^'"^^'^'* calls for determining tbe economic sensitivity of eacb CV, their Clifftents and a vari- ,nice reduction claim for each control system design, providing ihf appropriate sctpoint determination method and benefit for ihat variance reduction. 7 hen the process control engineer is in a •>olid position to design, m;untain and improve the Instruments and control system, the process operator is in a sound posiiuin to use it and operating company management understands it.s role and value. They finally have a chemical engineering method for operation that is pragmatic, prudent and profitable. ln hct, 1 claim had one or iwo computer-integrated manufaciur- ing (CIM) solution suppliers adopted pcrtormancc-based licensing when it was commercialized in the mid-199üs,^"'^'^'*'^^ the land- scape of the APC, and (^IM business in the HPI today would he healthier, more significant and more profitable lor those suppliers and their operating company partners. And much misguided effort and cxpcase would have heen avoided. fViedman wouid certainly not he proposing in a 2009 HP editorial forgoing .ÍO'^íi of APC'.perfor- mance, worth >$ü.3()/bbl crtidere-fined,to reduce AI'C. maintetiatice cxjsts. It would not he pragmatic, prudent or profitable. Dr Y. Zak Friedman's HPln Control editorials continue to serve the HPI. 1 hope I can add to them on occasion. W* LITERATURE CITED '" l^tour. V. R.. "Why Invesi in PRt}CRSS CONIROL?". CONTROL Vol. XV. xS. May 2002. pp. 41-46. ''' l^aiiiur. P R., "Why tune control loops? Wby mdte control loops?", ediio- rial guest columnist, Hydrocarbon Processing, V8I. n9. September 2(102. pp. '" McMahon.T K., (& P. R. Latour). "CLIFFTENT For Process Optimization." CONTROL VI7. nl2. December 2004, p. 66. '' l^tdur. P R., "Detisions about risk reduction." litter to Editor, Hydrocarhon Processing, V80. n6, June 2001, p. 3'). ^^ Latoiit. I'. R.. "Quantifying financial values", HP In Control Guest Columnist. Hydrucarhm lhvcrssir,g.V%{i, n7. July 2001. pp. 13-t4. '' ljtoiir. P. R., "Align alkybiion separaiiiin to economics." HPln Cx)ntrol liditorial, Hydrociirbiiti Processing, VHS. i i ! , lanuary 2009. p. 98. ^'' Latour. ['. R.. "Process control: t'l.ll'i'TIÍN I siiows its more profitable than ex|TecEed," Hydnittirhon froressing, V7'i, nl2. December 1')%. pp. 7S-H(). Repiibliühed in Kane. [.es. VA, Aduamrii Process Control ami Informniion Sysifim for the l^ocess ¡ndustrirs. Gulf Piiblisliing, Co. I')')'>. pp. .ÍI-37. ^'' Ldoiir. P. R.. "CLIFHIHNT: Determining I-ull Financial Benefit from Improved Dynamic Performance." PajierCOI, ihirJ Intcrnarioual Conference on l-dundaiions of C)mpurer-Aided Process Operations. Snowbird, Utah. )uly "i—IO, l')')8. Proceedings published in AlChK Symposium Series No. 320. V94. 1998. pp. 297-302. ^'' Baker. J. A. et ul. "The Rc]X)ri ofllie BP U.S. Refineries Independent Safety Review Panel." January 2007. ^' Friedman, Y. Z., (& G. D. Martin. P R. Latour). "APC Survey," Exchange of Ixiiters to the Fldiior, Hydrocarbon Prficessirig., V85. nlO. OttoUr 2006. pp. 45-46 and V85, n i l . November 2006. pp. 45-52. '" l^tour. lî R.. "Align Olefin Operations to Lxonomics - Clifiicnt optimizes scipoints." pn-senteil at 2007 Spring AlChF. Meetinj^ Ethylene Producers Conference, Houston. Tex;«, April 2^. 2007. Published in t^onfcrcnce Proceedir^s CD. ''' Fricdnian. Y. Z., "Alkylatioti prcKluci separation control," HPIn Conttol editorial. Hydrocarbon Processing, V87, n9. September 2008, p. 178. The author, president of CLIFFTENT Inc., is an independent conr.ulting chemic.il engineei specializing in identifying, capturing and sustaining measurable financial value from HPI dynamic process control, IT and CIM solutions (CLIFFTENT) using performance-based shared risk-shared reward (SR2) technology licensing HYDROCARBON PROCESSING NOVEMBER 2009 13
  • 2. ©Euromoney Institutional Investor PLC. This material must be used for the customer's internal business use only and a maximum of ten (10) hard copy print-outs may be made. No further copying or transmission of this material is allowed without the express permission of Euromoney Institutional Investor PLC. Source: Hydrocarbon Processing and http://www.hydrocarbonprocessing.com.