[en] Organic Rankine Cycle is an efficient and reliable technology for the thermal-to-electricity conversion of low- grade heat sources but the variability in boundary conditions often forces these systems to operate at off- design conditions. The development of reliable models for the performance prediction of organic Rankine cycle power systems under off-design conditions is therefore crucial for system-level integration and control implementation. In this paper, a mathematical model for the evaluation of the expected performance of organic Rankine cycle power units in a large range of operating conditions based on experimental data collected in a medium-size solar organic Rankine cycle power plant is presented. Two different empirical approaches for the performance prediction of heat exchangers and machines, namely, constant-efficiency and correlated-based approaches, are proposed and compared. In addition, empirical correlations based on experimental data are proposed for the preliminary assessment of the energy demanded during the start-up phase and the corre sponding duration. Results demonstrate that a good achievement in terms of accuracy of the model and reli-ability of the simulation performance can be obtained by using a constant-efficiency approach, with average errors lower than 5% and 2.5 K for the expected net power and outlet oil temperature respectively. The use of polynomial correlations leads to a more accurate estimation of the performance parameters used for evaporator and the turbine (in particular the evaporator heat effectiveness and the isentropic and electromechanical effi-ciency for the turbine), which strongly affect the main output variables of the model and, at the same time, are remarkably influenced by the operating conditions. A reduction in the average error in the prediction of the net power and outlet temperature of the heat transfer fluid to about 4% and 1.5 K respectively is therefore achieved by this approach. Average errors of 18.5% and 12.5% are achieved for the start-up time and the corresponding energy absorbed, respectively. Although the results obtained in terms of accuracy could be improved, these correlations can give an initial indication about the duration and energy required during this phase.
Disciplines :
Energy
Author, co-author :
Petrollese, Mario; University of Cagliari > Department of Mechanical, Chemical and Materials Engineering
Dickes, Rémi ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Systèmes énergétiques
Lemort, Vincent ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Systèmes énergétiques
Language :
English
Title :
Experimentally-validated models for the off-design simulation of a medium-size solar organic Rankine cycle unit
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
Bibliography
European Commission. Energy Roadmap 2050. Brussels: 2011.
Tchanche, B.F., Lambrinos, G.r., Frangoudakis, A., Papadakis, G., Low-grade heat conversion into power using organic Rankine cycles – A review of various applications. Renew Sustain Energy Rev 15:8 (2011), 3963–3979.
Colonna P, Casati E, Trapp C, Mathijssen T, Larjola J, Turunen-Saaresti T, et al. Organic Rankine Cycle Power Systems: From the Concept to Current Technology, Applications, and an Outlook to the Future. J Eng Gas Turbines Power 2015;137. doi:10.1115/1.4029884.
Pethurajan V, Sivan S, Joy GC. Issues, comparisons, turbine selections and applications – An overview in organic Rankine cycle. Energy Convers Manag 2018;166:474–88. doi:10.1016/J.ENCONMAN.2018.04.058.
Dickes, R., Charge-sensitive methods for the off-design performance characterization of organic Rankine cycle (ORC) power systems. 2019, University of Liege.
Park, B.-S., Usman, M., Imran, M., Pesyridis, A., Review of Organic Rankine Cycle experimental data trends. Energy Convers Manage 173 (2018), 679–691.
Wang, T., Liu, L., Zhu, T., Gao, N., Experimental investigation of a small-scale Organic Rankine Cycle under off-design conditions: From the perspective of data fluctuation. Energy Convers Manage, 198, 2019, 111826, 10.1016/j.enconman.2019.111826.
Zhang, H.-H., Xi, H., He, Y.-L., Zhang, Y.-W., Ning, B.o., Experimental study of the organic rankine cycle under different heat and cooling conditions. Energy 180 (2019), 678–688.
Manente, G., Toffolo, A., Lazzaretto, A., Paci, M., An Organic Rankine Cycle off-design model for the search of the optimal control strategy. Energy 58 (2013), 97–106.
Usman, M., Imran, M., Yang, Y., Lee, D.H., Park, B.-S., Thermo-economic comparison of air-cooled and cooling tower based Organic Rankine Cycle (ORC) with R245fa and R1233zde as candidate working fluids for different geographical climate conditions. Energy 123 (2017), 353–366.
Pang, K.-C., Hung, T.-C., He, Y.-L., Feng, Y.-Q., Lin, C.-H., Wong, K.-W., Developing ORC engineering simulator (ORCES) to investigate the working fluid mass flow rate control strategy and simulate long-time operation. Energy Convers Manage, 203, 2020, 112206, 10.1016/j.enconman.2019.112206.
Hu, S., Li, J., Yang, F., Yang, Z., Duan, Y., Thermodynamic analysis of serial dual-pressure organic Rankine cycle under off-design conditions. Energy Convers Manage, 213, 2020, 112837, 10.1016/j.enconman.2020.112837.
Song, J., Gu, C.-W., Ren, X., Parametric design and off-design analysis of organic Rankine cycle (ORC) system. Energy Convers Manage 112 (2016), 157–165.
Kim, I.S., Kim, T.S., Lee, J.J., Off-design performance analysis of organic Rankine cycle using real operation data from a heat source plant. Energy Convers Manage 133 (2017), 284–291.
Pili, R., Romagnoli, A., Jiménez-Arreola, M., Spliethoff, H., Wieland, C., Simulation of Organic Rankine Cycle – Quasi-steady state vs dynamic approach for optimal economic performance. Energy 167 (2019), 619–640.
Wang, J., Yan, Z., Zhao, P., Dai, Y., Woodruff, G.W., Off-design performance analysis of a solar-powered organic Rankine cycle. Energy Convers Manag 80 (2014), 150–157, 10.1016/j.enconman.2014.01.032.
Calise, F., Capuozzo, C., Carotenuto, A., Vanoli, L., Thermoeconomic analysis and off-design performance of an organic Rankine cycle powered by medium-temperature heat sources. Sol Energy 103 (2014), 595–609.
Oyekale, J., Petrollese, M., Heberle, F., Brüggemann, D., Cau, G., Exergetic and integrated exergoeconomic assessments of a hybrid solar-biomass organic Rankine cycle cogeneration plant. Energy Convers Manage, 215, 2020, 112905, 10.1016/j.enconman.2020.112905.
Dickes, R., Dumont, O., Daccord, R., Quoilin, S., Lemort, V., Modelling of organic Rankine cycle power systems in off-design conditions: An experimentally-validated comparative study. Energy 123 (2017), 710–727.
Petrollese, M., Cau, G., Cocco, D., The Ottana solar facility: dispatchable power from small-scale CSP plants based on ORC systems. Renewable Energy 147 (2020), 2932–2943.
Massimiani, A., Palagi, L., Sciubba, E., Tocci, L., Neural networks for small scale ORC optimization. Energy Procedia 129 (2017), 34–41.
Van Erdeweghe, S., Van Bael, J., Laenen, B., D'haeseleer, W., Design and off-design optimization procedure for low-temperature geothermal organic Rankine cycles. Appl Energy 242 (2019), 716–731.
Bufi, E.A., Camporeale, S.M., Cinnella, P., Robust optimization of an Organic Rankine Cycle for heavy duty engine waste heat recovery. Energy Procedia 129 (2017), 66–73.
Petrollese, M., Cocco, D., Robust optimization for the preliminary design of solar organic Rankine cycle (ORC) systems. Energy Convers Manage 184 (2019), 338–349.
Chatfield C, Zidek J V. Beyond ANOVA: basics of applied statistics. 1997th ed. n.d.
Alshammari, F., Pesyridis, A., Experimental study of organic Rankine cycle system and expander performance for heavy-duty diesel engine. Energy Convers Manage, 199, 2019, 111998, 10.1016/j.enconman.2019.111998.
Bell, I.H., Quoilin, S., Georges, E., Braun, J.E., Groll, E.A., Horton, W.T., Lemort, V., A generalized moving-boundary algorithm to predict the heat transfer rate of counterflow heat exchangers for any phase configuration. Appl Therm Eng 79 (2015), 192–201.
Ghasemi, H., Paci, M., Tizzanini, A., Mitsos, A., Modeling and optimization of a binary geothermal power plant. Energy 50 (2013), 412–428.
Similar publications
Sorry the service is unavailable at the moment. Please try again later.
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.