Scheduling and energy - Industrial challenges and opportunities

Computers and Chemical Engineering

Volumn 72, Issue , 2015, Pages 183-198

  Merkert, Lennart ^a   Harjunkoski, Iiro ^a   Isaksson, Alf ^b   Säynevirta, Simo ^c   Saarela, Antti ^c   Sand, Guido ^a  

^a ABB AG   (Germany)

^b ABB CORPORATE RESEARCH   (Sweden)

^c ABB OY   (Finland)

Author keywords

Demand side Management; Energy efficiency; Production planning; Scheduling; Steel production; Thermo mechanical pulp

Indexed keywords

DEMAND SIDE MANAGEMENT; DEREGULATION; ENERGY EFFICIENCY; MATHEMATICAL PROGRAMMING; POWER MARKETS; PRODUCTION CONTROL; RENEWABLE ENERGY RESOURCES; STEELMAKING; THERMOMECHANICAL PULP;

INDUSTRIAL CASE STUDY; INDUSTRIAL CHALLENGES; OPERATING ENVIRONMENT; PRESENTED EXAMPLES; PRODUCTION EFFICIENCY; PRODUCTION PLANNING; RENEWABLE ENERGY SOURCE; STEEL PRODUCTION;

SCHEDULING;

EID: 84908413270     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2014.05.024     Document Type: Article

References (69)

1. Adekola O., Stamp J.D., Majozi T., Garg A., Bandyopadhyay S. Unified approach for the optimization of energy and water in multipurpose batch plants using a flexible scheduling framework. Ind Eng Chem Res 2013, 52(25):8488-8506.
2. Ahuja R.K., Magnanti T.L., Orlin J.B. Network flows: theory, algorithms and applications 1993, Prentice-Hall, Upper Saddle River, NJ, USA.
3. Baboli P.T., Moghaddam M.P., Eghbal M. Present status and future trends in enabling demand response programs. Power and energy society general meeting, 2011 IEEE 2011, 1-6.
4. Barbosa-Póvoa A.P.F.D., Pinto T., Novais A.Q. Optimal design of heat-integrated multipurpose batch facilities: a mixed-integer mathematical formulation. Comput Chem Eng 2001, 25:547-559.
5. Bertsekas D.P. Linear network optimization 1991, M.I.T. Press, Cambridge, MA.
6. Bertsimas D., Tsitsiklis J.N. Introduction to linear optimization 1997, Athena Scientific, Belmont, MA.
7. Castro P., Barbosa-Póvoa A.P.F.D., Matos H. An improved RTN continuous time formulation for the short-term scheduling of multipurpose batch plants. Ind Eng Chem Res 2001, 40:2059-2068.
8. Castro P.M., Harjunkoski I., Grossmann I.E. New continuous-time scheduling formulation for continuous plants under variable electricity cost. Ind Eng Chem Res 2009, 48(14):6701-6714.
9. Castro P.M., Harjunkoski I., Grossmann I.E. Optimal scheduling of continuous plants with energy constraints. Comput Chem Eng 2011, 35:372-387.
10. Castro P.M., Sun L., Harjunkoski I. Resource-task network formulations for industrial demand side management of a steel plant. Ind Eng Chem Res 2013, 52:13046-13058.
11. Charles River Associates Primer on Demand-side Management with an emphasis on price-responsive programs 2005, Prepared for The World Bank.
12. Chu Y., You F. Integration of scheduling and control with online closed-loop implementation: fast computational strategy and large-scale global optimization algorithm. Comput Chem Eng 2012, 47:248-268.
13. Conti J., Holtberg P. International energy outlook 2011 2011, US Energy Information Administration.
14. Demand Response Research Center (2013). Demand Response Research Center. Available from: . http://drrc.lbl.gov/.
15. Diwekar U., Shastri Y. Design for environment: a state-of-the-art review. Clean Technol Environ Policy 2011, 13(2):227-240.
16. Engell S., Harjunkoski I. Optimal operation: scheduling, advanced control and their integration. Comput Chem Eng 2012, 47:121-133.
17. European Union Energy 2020. A strategy for competitive sustainable and secure energy 2011.
18. Fernández I., Renedo C.J., Pérez S.F., Ortiz A., Mañana M. A review: energy recovery in batch processes. Renew Sustain Energy Rev 2012, 16(4):2260-2277.
19. Floudas C.A., Lin X. Continuous-time versus discrete-time approaches for scheduling of chemical processes: a review. Comput Chem Eng 2004, 28:2109-2129.
20. Framinan J.M., Ruiz R. Guidelines for the deployment and implementation of manufacturing scheduling systems. Int J Prod Res 2012, 50(7):1799-1812.
21. Georgiadis M.C., Papageorgiou L.G. Optimal scheduling of heat-integrated multipurpose plants under fouling conditions. Appl Therm Eng 2001, 21(16):1675-1697.
22. Greenberg H. A branch-bound solution to the general scheduling problem. Oper Res 1968, 16:353-361.
23. Grossmann I.E. Enterprise-wide optimization: a new frontier in process systems engineering. AIChE J 2005, 51:1846-1857.
24. Hadera H., Harjunkoski I. Continuous-time batch scheduling approach for optimizing electricity consumption cost. Comput Aided Chem Eng 2013, 32:403-408.
25. Haït A., Artigues C. On electrical load tracking scheduling for a steel plant. Comput Chem Eng 2011, 35(12):3044-3047.
26. Haït A., Artigues C. A hybrid CP/MILP method for scheduling with energy costs. Eur J Ind Eng 2011, 5(4):471-489.
27. Halim I., Srinivasan R. Sequential methodology for scheduling of heat-integrated batch plants. Ind Eng Chem Res 2009, 48(18):8551-8565.
28. Harjunkoski I., Grossmann I.E. A Decomposition approach for the scheduling of a steel plant production. Comput Chem Eng 2001, 25:1647-1660.
29. Harjunkoski I., Bauer M., Kymäläinen T. Optimal energy management and production scheduling. Proc Comput Aided Chem Eng 2012, 30:332-336.
30. Harjunkoski I., Maravelias C., Bongers P., Castro P., Engell S., Grossmann I.E., et al. Scope for industrial applications of production scheduling models and solution methods. Comput Chem Eng 2014, 62:161-193.
31. Henning G.P. Production scheduling in the process industries: current trends, emerging challenges and opportunities. Proceedings of 10th international symposium on process systems engineering - PSE2009 2009, 23-28.
32. Ierapetritou M.G., Floudas C.A. Effective continuous-time formulation for short-term scheduling. 1. Multipurpose batch processes. Ind Eng Chem Res 1998, 37:4341-4359.
33. ISO 50001 Energy management system 2011.
34. Janak S.L., Floudas C.A. Improving unit-specific event based continuous-time approaches for batch processes: integrality gap and task splitting. Comput Chem Eng 2008, 32:913-955.
35. Kondili E., Pantelides C., Sargent R.W.H. A general algorithm for short-term scheduling of batch operations - I MILP formulation. Comput Chem Eng 1993, 17:211-227.
36. Kondili E., Shah N., Pantelides C.C. Production planning for the rational use of energy in multiproduct continuous plants. Comput Chem Eng 1993, 17:S123-S128.
37. Li Z., Ierapetritou M. Process scheduling under uncertainty: review and challenges. Comput Chem Eng 2008, 32:715-727.
38. Li J., Xiao X., Floudas C.A. An efficient unit-specific event-based continuous-time MILP formulation for short-term scheduling of multistage and multiproduct batch plants. Comput Aided Chem Eng 2012, 30:772-776.
39. Li J., Xiao X., Tang Q., Floudas C.A. Production scheduling of a large-scale steel making continuous casting process via unit-specific event-based continuous-time models: short-term and medium-term scheduling. Ind Eng Chem Res 2012, 51(21):7300-7319.
40. Maravelias C.T. General framework and modeling approach classification for chemical production scheduling. AIChE J 2012, 58(6):1812-1828.
41. Maravelias C.T., Grossmann I.E. A new general continuous-time state task network formulation for short term, scheduling of multipurpose batch plants. Ind Eng Chem Res 2003, 42:3056-3074.
42. Maravelias C.T., Grossmann I.E. Minimization of the makespan with a discrete-time state-task network formulation. Ind Eng Chem Res 2003, 42(24):6252-6257.
43. Mendez C.A., Cerda J. An MILP continuous-time framework for short-term scheduling of multipurpose batch processes under different operation strategies. Optim Eng 2003, 4:7-22.
44. Mendez C.A., Cerdá J., Grossmann I.E., Harjunkoski I., Fahl M. State-of-the-art review of optimization methods for short-term scheduling of batch processes. Comput Chem Eng 2006, 30:913-946.
45. Merchan A.F., Velez S., Maravelias C.T. Tightening methods for continuous-time mixed-integer programming models for chemical production scheduling. AIChE J 2013, 59(12):4461-4467.
46. Mitra S., Grossmann I.E., Pinto J.M., Arora N. Optimal production planning under time-sensitive electricity prices for continuous power-intensive processes. Comput Chem Eng 2012, 38:171-184.
47. North American Electric Reliability Corporation (NERC) Data collection for Demand-side Management for quantifying its influence on reliability, results and recommendations 2007, North American Electric Reliability Corporation (NERC).
48. Nolde K., Morari M. Electrical load tracking scheduling of a steel plant. Comput Chem Eng 2010, 34:1899-1903.
49. Olsen D., Goli S., McKane A. Examining synergies between energy management and demand response: a case study at two California industrial facilities 2012, Lawrence Berkeley National Laboratory.
50. Pantelides C.C. Unified frameworks for optimal process planning and scheduling. Foundations of computer-aided process operations 1994, 253-274. CACHE Publications, New York.
51. Papageorgiou L.G., Shah N., Pantelides C.C. Optimal scheduling of heat-integrated multipurpose plants. Ind Eng Chem Res 1994, 33(12):3168-3186.
52. Pinedo M., Chao X. Operations Scheduling with Applications in Manufacturing and Services 1999, Irwin/McGraw-Hill, Boston, ISBN 0-07-289779-1.
53. Pinto J., Grossmann I.E. Optimal cyclic scheduling of multistage multiproduct continuous plants. Comput Chem Eng 1994, 18:797-816.
54. Pinto J., Grossmann I.E. Continuous time mixed integer linear programming model for the short-term scheduling of multistage batch plants. Ind Eng Chem Res 1995, 34:3037.
55. Pulkkinen P., Ritala R. TMP production scheduling under uncertainty: methodology and case studies. Chem Eng Process 2008, 47:1492-1503.
56. Sand G., Terwiesch P. Closing the loops: an industrial perspective on the present and future impact of control. Eur J Control 2013, 19:341-350.
57. Sarimveis H.K., Angelou A.S., Retsina T.R., Rutherford S.R., Bafas G.V. Optimal energy management in pulp and paper mills. Energy Convers Manage 2003, 44:107-1718.
58. Seid E.R., Majozi T. Optimization of energy and water use in multipurpose batch plants using an improved mathematical formulation. Chem Eng Sci 2014, 111:335-349.
59. Shah N., Pantelides C.C., Sargent W.H. A general algorithm for short-term scheduling of batch operations-II. Computational issues. Comput Chem Eng 1993, 2:229-244.
60. Shaik M.A., Floudas C.A. Improved unit-specific event-based continuous-time model for short-term scheduling of continuous processes: rigorous treatment of storage requirements. Ind Eng Chem Res 2007, 46(6):1764-1779.
61. Shaik M.A., Vooradi R. Unification of STN and RTN based models for short-term scheduling of batch plants with shared resources. Chem Eng Sci 2013, 98:104-124.
62. Stamp J., Majozi T. Optimum heat storage design for heat integrated multipurpose batch plants. Energy 2011, 36(8):5119-5131.
63. Sun L., Harjunkoski I., Castro P. Resource-task network based approach for industrial Demand-side Management of steel production. Proceedings of the 23rd European symposium on computer aided process engineering - ESCAPE 23 2013, 259-264.
64. Susarla N., Li J., Karimi I.A. A novel approach to scheduling multipurpose batch plants using unit-slots. AIChE J 2010, 56(7):1859-1879.
65. Susarla N., Li J., Karimi I.A. A novel multi-grid formulation for scheduling semi-continuous plants. Comput Aided Chem Eng 2012, 31:1075-1079.
66. Velez S., Maravelias C.T. Reformulations and branching methods for mixed-integer programming chemical production scheduling models. Ind Eng Chem Res 2013, 52(10):3832-3841.
67. Verderame P.M., Elia J.A., Li J., Floudas C.A. Planning and scheduling under uncertainty: a review across multiple sectors. Ind Eng Chem Res 2010, 49(9):3993-4017.
68. Xu C., Sand G., Harjunkoski I., Engell S. A new heuristic for plant-wide schedule coordination problems: the intersection coordination heuristic. Comput Chem Eng 2012, 42:152-167.
69. Zhuge J., Ierapetritou M.G. Integration of scheduling and control with closed loop implementation. Ind Eng Chem Res 2012, 51(25):8550-8565.