Simulating Combined Cycle and Gas Turbine Power Plant under Design Condition using Open-Source Software DWSIM
A Comparative Study
Abstract
Nowadays, clean and high-power generation is essential matters worldwide. To be improved and optimized, power plants require accurate models that can be introduced to process simulators. There is various commercial software for industrial simulation which is not accessible to everyone. The open-source DWSIM process simulator is the first chemical engineering code that offers many tools for the better study of industrial plants. In this paper, we employ DWSIM software to simulate a combined cycle gas turbine (CCGT) power plant under design conditions for three cases. The generic models are predicted for multistage compressors and compressor maps. In the first case, two models developed in ASPEN HYSYS and GateCycle will be considered. The achieved results by DWSIM are acceptably comparable for thermal efficiency and power generation. The DWSIM result is 3.5% lower than the ASPEN HYSYS for thermal efficiency, and the power generation is completely the same. In the second case, rigorous simulation was carried out using actual field data from the local CCGT power plant. The DWSIM outcomes are very close to the practical data. The power generation of GT and CC is very close; the variety is nearly 0.45%. In the third case, the simulation of CCGT with a cogeneration system is precisely accomplished, and the outcomes of DWSIM are shown in excellent agreement. The DWSIM prediction shows lower values by 0.26%, 4.79%, and 0.72% for the HP turbine, LP turbine, and plant net power, respectively.
Downloads
References
Achimnole, E.N., Orhorhoro, E.K. and Onogbotsere, M.O., 2017. Simulation of gas turbine power plant using high pressure fogging air intake cooling system, online. International Journal of Emerging Engineering Research and Technology, 4, pp. 691-696.
Ahmed, A.S.E., Elhosseini, M.A. and Arafat Ali, H., 2018. Modelling and practical studying of heat recovery steam generator (HRSG) drum dynamics and approach point effect on control valves. Ain Shams Engineering Journal, 9(4), pp. 3187-3196.
Andreasen, A., 2022. Evaluation of an open-source chemical process simulator using a plant-wide oil and gas separation plant flowsheet model as basis. Periodica Polytechnica Chemical Engineering, 66(3), pp. 503-511.
Boyce, M., 2012. Gas Turbine Engineering Handbook. 4th ed. ButterworthHeinemann, United Kingdom. Cengel, Y.A. and Boles, M.A., 2006. Thermodynamics: An Engineering Approach. 5th ed. McGraw-Hill, New York. p. 962.
Daniel Wagner Oliveira de Medeiros., 2004. DWSIM (7.5.1). [DWSIM] [2022]. Available from: https://dwsim.org/index.php/download [Last accessed on 2022 Apr 02].
Griffin, P.R., Elmasri, M., Chen, G.T., Kamppila, S. and Basile, F., 1996. Power Plant Simulation Software For Optimizing’ Thermodynamic and Financial Plant Operation. Available from: http://asmedigitalcollection.asme.org/GT/proceedings-pdf/GT1996/78750/V004T11A003/4216106/v004t11a003-96-gt-277.pdf [Last accessed on 1996 Jun 10].
Halageri, A. and Pauls, G., 2015. Production of Aniline by Hydrogenation of Nitrobenzene. Available from: https://www.studocu.com/in/document/indianinstitute-of-technology-roorkee/thermodynamics-and-chemical-kinetics/anilinesynthesis-from-nitrobenzen/22854448.
Hamarash, I.I., 2008. Modeling and Simulation of the Perdawd CCGS Connected to the Kurdistan Regional Power System of Iraq Using Simulink. In: Ao, S.I. and International Association of Engineers., Ed. World Congress on Engineering: WCE 2008: 2-4 July, 2008. Newseood Ltd., International Association of Engineers, Imperial College London, London, UK.
Hasan, N., Rai, J.N. and Arora, B.B., 2014. Optimization of CCGT power plant and performance analysis using MATLAB/Simulink with actual operational data. SpringerPlus, 3(1), pp. 1-9.
Li, D., Hu, Y., He, W. and Wang, J., 2017. Dynamic Modelling and Simulation of a Combined-Cycle Power Plant Integration with Thermal Energy Storage. 23rd International Conference on Automation and Computing (ICAC). Liu, Z. and Karimi, I.A., 2018. Simulation and optimization of a combined cycle gas turbine power plant for part-load operation. Chemical Engineering Research and Design, 131, pp. 29-40.
Liu, Z. and Karimi, I.A., 2018a. New operating strategy for a combined cycle gas turbine power plant. Energy Conversion and Management, 171, pp. 1675-1684.
Liu, Z. and Karimi, I.A., 2018b. Simulating combined cycle gas turbine power plants in Aspen HYSYS. Energy Conversion and Management, 171, pp.1213-1225.
Oh, H.S., Lee, Y. and Kwak, H.Y., 2017. Diagnosis of combined cycle power plant based on thermoeconomic analysis: Acomputer simulation study. Entropy, 19(12), 643.
Ordys, A., Katebi, R., Johnson, M. and Grimble, M., 1994. Modelling and Simulation of Power Generation Plants. Springer-Verlag, London, Great-Britain. Polyzakis, A.L., Koroneos, C. and Xydis, G., 2008. Optimum gas turbine cycle for combined cycle power plant. Energy Conversion and Management, 49(4), pp. 551-563.
Reveillere, A., Longeon, M. and Rossi, I., 2019, Dynamic Simulation of a Combined Cycle for Power Plant Flexibility Enhancement in E3S Web of Conferences. EDP Sciences, Les Ulis, France.
Saddiq, H.A., Perry, S., Ndagana, S.F. and Mohammed, A., 2015. Modelling of gas turbine and gas turbine exhaust and its utilisation as combined cycle in utility system. International Journal of Scientific and Engineering Research, 6(4), pp. 925-933.
Seifi, A.R., Salehi, A., Eng, M. and Safavi, AA., 2008. Combined-Cycle Plant Simulation Toolbox for Power Plant Simulator, 9(1), pp. 97-109.
Sarathy, J.V., 2021. Gas compression stages-design & optimization. Engineering Practice Magazine, 8(24), pp. 15-18.
Sulaymaniyah CCGT Power Plant., 2022. Sulaymaniyah Combine Cycle Power Plant. Mass Company, Sulaymaniyah, Iraq.
Tangsriwong, K., Lapchit, P., Kittijungjit, T., Klamrassamee, T., Sukjai, Y. and Laoonual, Y., 2020. Modeling of chemical processes using commercial and open-source software: A comparison between Aspen plus and DWSIM. In: IOP Conference Series: Earth and Environmental Science. Institute of Physics Publishing, Bristol, United Kingdom.
Vieira, L.S., Matt, C.F., Guedes, V.G., Cruz, M.E. and Castellões, F.V., 2010. Maximization of the profit of a complex combined-cycle cogeneration plant using a professional process simulator. Journal of Engineering for Gas Turbines and Power, 132(4), pp. 418011-4180110.
Wiguno, A., Tetrisyanda, R. and Wibawa, G., 2020. The effect of gas composition, air intake cooling, and steam injection on combined cycle power plant performance. In: AIP Conference Proceedings. American Institute of Physics Inc., Maryland.
Zabre, E., Roldán-Villasana, E.J., Romero-Jiménez, G., Cruz, R., 2009. Combined Cycle Power Plant Simulator for Operator’s Training. In: Ao, S.I. and International Association of Engineers., Ed. World Congress on Engineering and Computer Science : WCECS 2009 : 20-22 October, 2009. Newswood Ltd., International Association of Engineers San Francisco, USA.
Copyright (c) 2023 Twana N. Hassan, Saif T. Manji
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who choose to publish their work with Aro agree to the following terms:
-
Authors retain the copyright to their work and grant the journal the right of first publication. The work is simultaneously licensed under a Creative Commons Attribution License [CC BY-NC-SA 4.0]. This license allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
-
Authors have the freedom to enter into separate agreements for the non-exclusive distribution of the journal's published version of the work. This includes options such as posting it to an institutional repository or publishing it in a book, as long as proper acknowledgement is given to its initial publication in this journal.
-
Authors are encouraged to share and post their work online, including in institutional repositories or on their personal websites, both prior to and during the submission process. This practice can lead to productive exchanges and increase the visibility and citation of the published work.
By agreeing to these terms, authors acknowledge the importance of open access and the benefits it brings to the scholarly community.