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Demand Response for Chemical Manufacturing using Economic MPC

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CONFIDENTIAL. Limited circulation. For review only.arrive at a proper economic assessment of the smart gridopportunity one must factor in the cost of this upgradeequipment. The methods of [29, 30] illustrate one approachto this combined capital and operating cost analysis.It was also observed that economic per<strong>for</strong>mance is astrong function of E<strong>MPC</strong> horizon size. While the 48 hourhorizon presented little computational challenge in the smallexample of this paper, it is likely to be a challenge in morerealistic examples where the model is substantially largerand additional constraints (ramp rate limitations and start-up/ shut-down restrictions) are imposed. In these cases, themethod of infinite-horizon E<strong>MPC</strong>, [20, 28], will likely ofutility.(bbl)Ma ss inStorage100005000M 4M 500 0.5 1 1.5 2time (days)[11] Roth, K., R. Zogg, and J. Brodrick (2006) Cool ThermalEnergy Storage, ASHRAE Journal., 48, pp 94-96[12] Parvania, M., M.Fotuhi-Firuzabad (2010). <strong>Demand</strong> response1(1)scheduling by stochastic SCUC. IEEE Trans. Smart Grid,89-98.[13] Nguyen, D.T., M. Negnevitsky, M. de Groot (2011). Poolbaseddemand response exchange – concept and modeling.IEEE Trans. Power Systems,26(3), pp 1677-1685.[14] Rawlings, J.B. and R. Amrit (2009) Optimizing processeconomic per<strong>for</strong>mance <strong>using</strong> model predictive control,Nonlinear Model Predictive Control, Lecture Notes in Controland In<strong>for</strong>mation Sciences, Vol. 384, pp 119-138[15] Braun, J.E. (1992) A comparison of chiller-priority, storage-priority, and optimal control of an ice-storage system,ASHRAE Trans., vol. 98(1), pp 893-902[16] Morris, F.B., J.E. Braun and S.J. Treado (1994) Experimentaland simulated per<strong>for</strong>mance of optimal control of buildingthermal storage, ASHRAE Trans., vol. 100(1), pp 402-414[17] Kintner-Meyer, M. and A.F. Emery (1995) Optimal control ofan HVAC system <strong>using</strong> cold storage and building thermalcapacitance, Energy and Buildings, vol. 23, pp 19-31[18] Henze, G.P., M. Krarti, M.J. Brandemuehl (2003) Guidelines<strong>for</strong> improved per<strong>for</strong>mance of ice storage systems, Energy andBuildings, vol. 35, pp 111-1272[19] Braun, J.E. (2007) Impact of control on operating costs <strong>for</strong>Q Q 1 12cool storage systems with dynamic electric rates, ASHRAE1Trans., vol. 113(2), pp343-354[20] Mendoza-Serrano, D.I. and D.J. Chmielewski (2012) Infinite-0horizon <strong>Economic</strong> <strong>MPC</strong> <strong>for</strong> HVAC systems with Active0 0.5 1 1.5Thermal Energy Storage, Proc. of the Conf. Dec. Contr.,time (days)Honolulu, HI (in press)Fig 7. E<strong>MPC</strong> with a 6 hour prediction horizon[21] Karwana, M.H. and M.F. Keblisb (2007) Operations planningwith real time pricing of a primary input, Comp. Oper. Res.,vol. 34, pp 848–867REFERENCES[22] Baumrucker, B.T. and L.T. Biegler (2010) MPEC strategies<strong>for</strong> cost optimization of pipeline operations, Comp. Chem.[1] Lindenberg, S., Smith, B., O’Dell, K., DeMeo, E., Ram, B.Eng., vol. 34, pp 900– 913(2008) 20% Wind Energy by 2030: Increasing Wind Energy’s [23] Lima, R.M., I.E. Grossmann and Y. Jiao (2011) Long-termContribution to U.S. Electric Supply. DOE/GO-102008-2567 scheduling of a single-unit multi-product continuous process[2] Farhangi, H. (2010) The path of the smart grid, IEEE Power to manufacture high per<strong>for</strong>mance glass, Comp. Chem. Eng.,and Energy Magazine, 8(1), pp.18-28vol. 35(3), pp 554–574[3] Ipakchi, A., F. Albuyeh (2009) Grid of the future," IEEE [24] Kostina, A.M., G. Guillén-Gosálbeza, F.D. Meleb, M.J.Power and Energy Magazine, 7(2), pp.52-62Bagajewiczc, L. Jiméneza (2011) A novel rolling horizon[4] Chen, H., T.N. Cong, W. Yang, C. Tan, Y. Li, Y. Ding (2009). strategy <strong>for</strong> the strategic planning of supply chains:Progress in electrical energy storage system: a critical review.Application to the sugar cane industry of Argentina, Comp.Progress in Natural Science, 19, pp 291-312.Chem. Eng., vol. 35, pp 2540– 2563[5] Rahimi, F., A. Ipakchi (2010) <strong>Demand</strong> response as a market [25] Diehl, M., R. Amrit and J.B. Rawlings (2011) A Lyapunovresource under the smart grid paradigm, IEEE Trans. Smart function economic optimizing model predictive control, IEEEGrid, 1(1), pp.82-88Trans. Aut. Contr. Vol 56(3), pp 703-707[6] Walawalkar, R., S. Fernands, N. Thakur, K.R. Chevva (2010) [26] Huang, R. and L. Biegler (2011) Stability of economicallyorientedN<strong>MPC</strong> with periodic constraint, Preprints of 18thEvolution and current status of demand response (DR) inelectricity markets: Insights from PJM and NYISO, Energy, IFAC World Congress, Milano, Italy, pp 10499- 1050435(4), pp 1553-1560[27] Heidarinejad, M., J. Liu, P.D. Christofides (2012) <strong>Economic</strong>[7] Soroush, M.; D.J.Chmielewski, (2012) Process systemsmodel predictive control of nonlinear process systems <strong>using</strong>opportunities in power generation, storage and distribution,Lyapunov techniques, AIChE J., vol 58, pp. 855–870Comp. Chem Eng., in press.[28] Omell, B.P.; D.J. Chmielewski (2012) IGCC Power Plant[8] PJM (2012) PJM Day-Ahead Historical Data:Dispatch Using Infinite-Horizon <strong>Economic</strong> Model Predictivehttp://www.pjm.com/markets-and-operations/energy/dayahead/day-ahead-historical.aspx(accessed on March 30, 2012) [29] Yang, M.W., B.P Omell and D.J. Chmielewski (2012)Control, Ind Eng. Chem. Res, submitted.[9] House, J.M., and T.F. Smith (1995) Optimal control ofController design <strong>for</strong> dispatch of IGCC power plants, Proc.building and HVAC systems, Proc. of the Am Cont. Conf,Am. Contr. Conf., Montreal, CanadaSeattle, WA, pp 4326-4330.[30] Mendoza-Serrano, D.I. and D.J. Chmielewski (2012)[10] Chen, H-J., D.W. Wang, S-L. Chen (2005) Optimization of an Controller and system design <strong>for</strong> HVAC with Thermal Energyice-storage air conditioning system <strong>using</strong> dynamicStorage, Proc. of the Am. Cont. Conf., Montreal, Canadaprogramming method, App. Thermal Eng., vol. 25, pp 461-472Mass Flow(bbl/sec)6Preprint submitted to 2013 American Control Conference.Received September 24, 2012.

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