%0 Journal Article %1 Quoilin20112183 %A Quoilin, Sylvain %A Aumann, Richard %A Grill, Andreas %A Schuster, Andreas %A Lemort, Vincent %A Spliethoff, Hartmut %D 2011 %J Applied Energy %K 2011 Organic-Rankine-Cycle modelling optimization %N 6 %P 2183 - 2190 %R 10.1016/j.apenergy.2011.01.015 %T Dynamic modeling and optimal control strategy of waste heat recovery Organic Rankine Cycles %U http://dx.doi.org/10.1016/j.apenergy.2011.01.015 %V 88 %X Organic Rankine Cycles (ORCs) are particularly suitable for recovering energy from low-grade heat sources. This paper describes the behavior of a small-scale ORC used to recover energy from a variable flow rate and temperature waste heat source. A traditional static model is unable to predict transient behavior in a cycle with a varying thermal source, whereas this capability is essential for simulating an appropriate cycle control strategy during part-load operation and start and stop procedures. A dynamic model of the ORC is therefore proposed focusing specifically on the time-varying performance of the heat exchangers, the dynamics of the other components being of minor importance. Three different control strategies are proposed and compared. The simulation results show that a model predictive control strategy based on the steady-state optimization of the cycle under various conditions is the one showing the best results.

@article{Quoilin20112183, abstract = {Organic Rankine Cycles (ORCs) are particularly suitable for recovering energy from low-grade heat sources. This paper describes the behavior of a small-scale ORC used to recover energy from a variable flow rate and temperature waste heat source. A traditional static model is unable to predict transient behavior in a cycle with a varying thermal source, whereas this capability is essential for simulating an appropriate cycle control strategy during part-load operation and start and stop procedures. A dynamic model of the ORC is therefore proposed focusing specifically on the time-varying performance of the heat exchangers, the dynamics of the other components being of minor importance. Three different control strategies are proposed and compared. The simulation results show that a model predictive control strategy based on the steady-state optimization of the cycle under various conditions is the one showing the best results.}, added-at = {2012-01-09T11:10:39.000+0100}, author = {Quoilin, Sylvain and Aumann, Richard and Grill, Andreas and Schuster, Andreas and Lemort, Vincent and Spliethoff, Hartmut}, biburl = {https://www.bibsonomy.org/bibtex/2141f223ca44c4054e1e61b5d512aec2c/thorade}, description = {Dynamic modeling and optimal control strategy of waste heat recovery Organic Rankine Cycles 10.1016/j.apenergy.2011.01.015 : Applied Energy | ScienceDirect.com}, doi = {10.1016/j.apenergy.2011.01.015}, interhash = {a04b9d5602fa0ffbdb9fbf0da55bff31}, intrahash = {141f223ca44c4054e1e61b5d512aec2c}, issn = {0306-2619}, journal = {Applied Energy}, keywords = {2011 Organic-Rankine-Cycle modelling optimization}, number = 6, pages = {2183 - 2190}, timestamp = {2012-01-09T11:10:39.000+0100}, title = {Dynamic modeling and optimal control strategy of waste heat recovery Organic Rankine Cycles}, url = {http://dx.doi.org/10.1016/j.apenergy.2011.01.015}, volume = 88, year = 2011 }