Minimum variance control of organic Rankine cycle based waste heat recovery

Abstract In this paper, an online self-tuning generalized minimum variance (GMV) controller is proposed for a 100 KW waste heat recovery system with organic Rankine cycle (ORC). The ORC process model is formulated by the controlled autoregressive moving average (CARMA) model whose parameters are identified using the recursive least squares (RLS) algorithm with forgetting factor. The generalized minimum variance algorithm is applied to regulate ORC based waste heat recovery system. The contributions of this work are twofold: (1) the proposed control strategy is formulated under the data-driven framework, which does not need the precise mathematic model; (2) this proposed method is applied to handle tracking set-point variations and process disturbances by improved minimum objective GMV function. The performance of GMV controller is compared with the PID controller. The simulation results show that the proposed strategy can achieve satisfactory set-point tracking and disturbance rejection performance.

[1]  Ashok Misra,et al.  Performance analysis of an Organic Rankine Cycle with superheating under different heat source temperature conditions , 2011 .

[2]  Xiang-Dong He,et al.  Dynamic modeling and multivariable control of vapor compression cycles in air conditioning systems , 1996 .

[3]  George Papadakis,et al.  Low­grade heat conversion into power using organic Rankine cycles - A review of various applications , 2011 .

[4]  W. Gu,et al.  Theoretical and experimental investigation of an organic Rankine cycle for a waste heat recovery system , 2009 .

[5]  Li Zhao,et al.  Experimental investigation on the low-temperature solar Rankine cycle system using R245fa , 2011 .

[6]  Yiping Dai,et al.  Thermodynamic analysis and optimization of an (organic Rankine cycle) ORC using low grade heat source , 2013 .

[7]  K. Goni Boulama,et al.  Power generation from residual industrial heat , 2010 .

[8]  Jianhua Zhang,et al.  Dynamic modeling and multivariable control of organic Rankine cycles in waste heat utilizing processes , 2012, Comput. Math. Appl..

[9]  Vincent Lemort,et al.  Testing and modeling a scroll expander integrated into an Organic Rankine Cycle , 2009 .

[10]  Vincent Lemort,et al.  Experimental study and modeling of an Organic Rankine Cycle using scroll expander , 2010 .

[11]  Jie Ji,et al.  Examination of the expander leaving loss in variable organic Rankine cycle operation , 2013 .

[12]  Vincent Lemort,et al.  Reciprocating Expander for an Exhaust Heat Recovery Rankine Cycle for a Passenger Car Application , 2012 .

[13]  Farid Chejne,et al.  Theoretical analysis of a transcritical power cycle for power generation from waste energy at low temperature heat source , 2012 .

[14]  Hong Guang Zhang,et al.  Heat transfer analysis of a finned-tube evaporator for engine exhaust heat recovery , 2013 .

[15]  Patrick Linke,et al.  On the systematic design and selection of optimal working fluids for Organic Rankine Cycles , 2010 .

[16]  Vincent Lemort,et al.  Thermo-economic optimization of waste heat recovery Organic Rankine Cycles , 2011 .

[17]  Dandong Wang,et al.  Experimental research on novel adsorption chiller driven by low grade heat source , 2007 .

[18]  Christos Katsanos,et al.  Thermodynamic analysis of a Rankine cycle applied on a diesel truck engine using steam and organic medium , 2012 .

[19]  Peter A. Jacobs,et al.  Dynamic performance estimation of small-scale solar cogeneration with an organic Rankine cycle using a scroll expander , 2013 .

[20]  R. Roshandel,et al.  Thermodynamic analysis of application of organic Rankine cycle for heat recovery from an integrated DIR-MCFC with pre-reformer , 2013 .

[21]  M. Venegas,et al.  Exergetic analysis of a double stage LiBr–H2O thermal compressor cooled by air/water and driven by low grade heat , 2005 .

[22]  Jiangfeng Wang,et al.  Parametric optimization and comparative study of organic Rankine cycle (ORC) for low grade waste heat recovery , 2009 .

[23]  Christopher Depcik,et al.  Review of organic Rankine cycles for internal combustion engine exhaust waste heat recovery , 2013 .

[24]  Li Yang,et al.  Mathematical Modeling Study of Scroll Air Motors and Energy Efficiency Analysis—Part II , 2011, IEEE/ASME Transactions on Mechatronics.

[25]  T. Hung Waste heat recovery of organic Rankine cycle using dry fluids , 2001 .

[26]  J. Van Roy,et al.  Parametric optimization and performance analysis of a waste heat recovery system using Organic Ranki , 2010 .

[27]  Zhen Lu,et al.  Performance analysis and optimization of organic Rankine cycle (ORC) for waste heat recovery , 2007 .

[28]  William D'haeseleer,et al.  Comparison of Thermodynamic Cycles for Power Production from Low-Temperature Geothermal Heat Sources , 2013 .

[29]  Vincent Lemort,et al.  Dynamic modeling and optimal control strategy of waste heat recovery Organic Rankine Cycles , 2011 .

[30]  Zhen Lu,et al.  Dynamic modeling and simulation of an Organic Rankine Cycle (ORC) system for waste heat recovery , 2008 .

[31]  Pradip Dutta,et al.  Evaluation of isopentane, R-245fa and their mixtures as working fluids for organic Rankine cycles , 2013 .

[32]  Lourdes García-Rodríguez,et al.  Preliminary design of seawater and brackish water reverse osmosis desalination systems driven by low-temperature solar organic Rankine cycles (ORC). , 2010 .

[33]  Guolian Hou,et al.  Generalized predictive control applied in waste heat recovery power plants , 2013 .

[34]  Ulli Drescher,et al.  Fluid selection for the Organic Rankine Cycle (ORC) in biomass power and heat plants , 2007 .

[35]  S. K. Wang,et al.  A Review of Organic Rankine Cycles (ORCs) for the Recovery of Low-grade Waste Heat , 1997 .