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Simultaneous Scheduling and Heat Integration of Batch Plants Using Unit-Specific Event Based Modelling

  • Semal Sekhar Mummana , Murali Mohan Seepana and Ramsagar Vooradi EMAIL logo
Published/Copyright: March 19, 2020
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Abstract

Over the past few decades of sustainable development, energy savings in batch processing facilities has played a vital role. The increasing trend in production of high value and low volume products in food, pharmaceutical industries and fine/specialty chemicals is driving the development of material, energy and water integrated scheduling techniques for multiproduct/multipurpose batch plants. In the present study, a three index Unit Specific Event Based (USEB) model is proposed for the simultaneous short-term scheduling and heat integration of batch plants. A mixed integer linear programming (MILP) model is proposed to handle direct heat integration. The performance of the proposed model is evaluated by considering two benchmark examples.

Nomenclature

Indices
n1,n2,n3

Events

i, i1

Tasks

j, j1

Units

u

Utilites

s

States

Sets
I

Set of tasks

J

Set of units

Ij

Set of tasks that can be performed in unit j

Isc

Tasks which consume state s

IsP

Tasks which produce state s

Ic

Task which requires cooling

Ih

Task which requires heating

N

Event points within the time horizon

U

Utilities

S

States

SIN

States that are intermediates

SR

States that are raw materials

Sp

States that are final products

Sdfis

Intermediate states with dedicated finite intermediate storage (dfis)

Parameters
Bimax

Maximum batch size of task i

Bimin

Minimum batch size of task i

Δn

Limit on the maximum number of events over which a task is allowed to continue

prices

Price of product state s

M

Large positive number in big-M constraints

ρis

Fraction of state s produced ρis0 by task i

Fraction of state s consumed ρis0 by task i

δi

Coefficient of variable term of processing time of task i

γi

Coefficient of constant term of processing time of task i

STsmax

Maximum amount of state s

STs0

Initial amount available for state s

H

Short-term time horizon

cuc

Unit cost of cooling utility u over interval t

cuh

Unit cost of heating utility u over interval t

αi,αi1

Coefficient of constant terms of external utility requirements of task i when operated in a with heat integration mode.

αi,αi1

Coefficient of constant terms of external utility requirements of task i when operated in a without heat integration mode.

βi,βi1

Coefficient of variable terms of external utility requirements of task i when operated in a with heat integration mode.

βi,βi1

Coefficient of variable terms of external utility requirements of task i when operated in a without heat integration mode.

Binary variable
x (i, i1, n1)

Binary variable associated with heat integration of task i and i1 at event n1

w (i, n1, n2)

Binary variable that assign of the task i that starts at event n1 and ends at event n2

Positive variable
b(i, n1, n2)

Amount of material processing by task i starting at event n1 and ends at event n2

Ts(i,n1)

Start time of a task i at event n1

Tf(i,n1)

Finish time of a task i at event n1

ST0(s)

Initial amount of state s required from external resources

ST(s,n1)

Excess amount of state s that needs to be stored at event n1

q(i,n1)

Amount of heating utility required by task i when operating in a standalone mode

q1(i,n1)

Amount of heating utility required by task i when operating in a heat integrated mode

q(i1,n1)

Amount of cooling utility required by task i1 when operating in a standalone mode

q1(i1,n1)

Amount of cooling utility required by task i1 when operating in a heat-integrated mode

bh(i,i1,n1)

Amount of batch processed by heat-integrated tasks i which require heating

bc(i,i1,n1)

Amount of batch processed by heat-integrated tasks i1 which require cooling

References

[1] Seid ER, Majozi T. Heat integration in multipurpose batch plants using a robust scheduling framework. Energy. 2014;71:302–20.10.1016/j.energy.2014.04.058Search in Google Scholar

[2] Papageorgiou LG, Shah N, Pantelides CC. Optimal scheduling of heat-integrated multipurpose plants. Ind Eng Chem Res. 1994;33:3168–86.10.1021/ie00036a036Search in Google Scholar

[3] Seid ER, Majozi T. Design and synthesis of multipurpose batch plants using a robust scheduling platform. Ind Eng Chem Res. 2013;52:16301–13.10.1021/ie4022495Search in Google Scholar

[4] Shaik MA, Janak SL, Floudas CA. Continuous-time models for short-term scheduling of multipurpose batch plants: a comparative study. Ind Eng Chem Res. 2006;45:6190–209.10.1021/ie0601403Search in Google Scholar

[5] Sundaramoorthy A, Karimi IA. A simpler better slot-based continuous-time formulation for short-term scheduling in multipurpose batch plants. Chem Eng Sci. 2005;60:2679–702.10.1016/j.ces.2004.12.023Search in Google Scholar

[6] Shaik MA, Floudas CA. Novel unified modeling approach for short-term scheduling. Ind Eng Chem Res. 2009;48:2947–64.10.1021/ie8010726Search in Google Scholar

[7] Susarla N, Li J, Karimi IA. A novel approach to scheduling multipurpose batch plants using unit-slots. AIChE J. 2010;56:1859–79.10.1002/aic.12120Search in Google Scholar

[8] Vooradi R, Shaik MA. Rigorous unit-specific event-based model for short-term scheduling of batch plants using conditional sequencing and unit-wait times. Ind Eng Chem Res. 2013;52:12950–72.10.1021/ie303294kSearch in Google Scholar

[9] Seid R, Majozi T. A robust mathematical formulation for multipurpose batch plants. Chem Eng Sci. 2012;68:36–53.10.1016/j.ces.2011.08.050Search in Google Scholar

[10] Castro PM, Custodio B, Matos HA. Optimal scheduling of single stage batch plants with direct heat integration. Comput Chem Eng. 2015;82:172–85.10.1016/j.compchemeng.2015.07.006Search in Google Scholar

[11] Fernandez I, Renedo CJ, Perez SF, Ortiz A, Manana M. A review: energy recovery in batch processes. Renew Sust Energ Rev. 2012;16:2260–77.10.1016/j.rser.2012.01.017Search in Google Scholar

[12] Stamp J, Majozi T. Optimum heat storage design for heat integrated multipurpose batch plants. Energy. 2011;36:5119–31.10.1016/j.energy.2011.06.009Search in Google Scholar

[13] Majozi T, Sandrock C. A MILP model for energy optimization in multipurpose batch plants using heat storage. HEFAT 2008.Search in Google Scholar

[14] Vaselenak JA, Grossmann IE, Westerberg AW. Heat integration in batch processing. Ind Eng Chem Process Des Dev. 1986;25:357–66.10.1021/i200033a004Search in Google Scholar

[15] Ivanov B, Peneva K, Bancheva N. Heat integration of batch vessels at fixed time interval. 1. Schemes with recycling main fluids. Hung J Ind Chem. 1992;20:225–31.Search in Google Scholar

[16] Peneva K, Ivanov B, Bancheva N. Heat integration of batch vessels at fixed time interval. 2. Schemes with intermediate heating and cooling agents. Hung J Ind Chem. 1992;20:233–9.Search in Google Scholar

[17] Corominas J, Espuna A, Puigjaner L. A new look at energy integration in multiproduct batch processes. Comput.chem.eng. 1993;17:S15–S20.10.1016/0098-1354(93)85003-5Search in Google Scholar

[18] Vaklieva-Bancheva N, Ivanov BB, Shah N, Pantelides CC. Heat exchanger network design for multipurpose batch plants. Comput Chem Eng. 1996;20:989–1001.10.1016/0098-1354(95)00217-0Search in Google Scholar

[19] Majozi T. Heat integration of multipurpose batch plants using a continuous-time framework. Appl Therm Eng. 2006;26:1369–77.10.1016/j.applthermaleng.2005.05.027Search in Google Scholar

[20] Chen CL, Chang CY. A resource-task network approach for optimal short-term/periodic scheduling and heat integration in multipurpose batch plants. Appl Therm Eng. 2009;29:1195–208.10.1016/j.applthermaleng.2008.06.014Search in Google Scholar

[21] Stamp JD, Majozi T. Long-term heat integration in multipurpose batch plants using heat storage. J Clean Prod. 2017;142:1492–509.10.1016/j.jclepro.2016.11.155Search in Google Scholar

[22] Sebelebele N, Majozi T. Heat integration of multipurpose batch plants through multiple heat storage vessels. Comput Chem Eng. 2017;106:269–85.10.1016/j.compchemeng.2017.06.007Search in Google Scholar

[23] Vooradi R, Shaik MA. Improved three-index unit-specific event-based model for short-term scheduling of batch plants. Comput Chem Eng. 2012;43:148–72.10.1016/j.compchemeng.2012.03.014Search in Google Scholar

Received: 2019-04-28
Revised: 2019-08-26
Accepted: 2019-10-18
Published Online: 2020-03-19

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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