Determination of Optimum Point of Composition of Fuel Calories in Producing electrical Energy in Coal Fired Power Plant

Jonathan Dian, Wahyu Wibowo

Abstract


Coal-fired power plant (CFPP) is a type of power plant that is widely used for 35,000 MW electricity projects in Indonesia. CFPP must adjust to its operating strategies with the availability of abundant low-rank coal, and it will affect CFPP performance. This study aims to determine the optimum heating value of fuels, the trend of net plant heat rate (NPHR), the cost of electricity production (component C), and the optimum point of the CFPP operation. The data used is from CFPP operations. First, data is analyzed by descriptive statistics and formed into a regression model. The next step is to estimate the parameters of the population data. The regression model obtained was then carried out the goodness of fit test and residual analysis. Then, the variable’s values are changed to the Z-score and plotted in the regression model. The model interpretation is carried out and conclusions can be obtained to find out the optimum point. The conclusion of this study is the optimum point of generating electricity in CFPP can be achieved by using coal calorific values of 4,450 kCal/kg, NPHR of 2,683.6 kCal/kWh, and COE (component C) of Rp 436.5/kWh when using coal at a price of 732.2/kg and Net Power of 279 MW.

Keywords


Optimum Point; Calorific Value; Net Plant Heat Rate; Cost Of Electricity Production; Z-Score

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References


M. I. Syahputera et al., “Analisis pengaruh nilai kalori batubara terhadap konsumsi bahan bakar dan biaya produksi listrik,” ISSN 2085-2762 Semin. Nas. Tek. Mesin, pp. 474–483, 2018.

Wahyono and H. Teguh, “Penggunaan Mix Coal Terhadap Efisiensi Pembangkit dan Biaya Produksi Listrik (BPL) di PLTU Tanjung Jati B Unit 3,” EKSERGI J. Tek. Energi, vol. 11, no. 2, pp. 53–60, 2015.

M. Yörükoǧlu, “Coal blending for thermal power stations,” Madencilik, vol. 56, no. 3, pp. 109–116, 2017.

Amiral Aziz and Andi Rinaldi Hasan, “Evaluation of Heat Rate and Efficiencies of a Steam Power Plant Using the Different Coal Spesification From the Design Spesification,” Energi Lingkung., vol. 11, no. 1, pp. 1–6, 2015.

H. H. Santoso, W. Kurniawan, H. Setiawan, and T. R. Biyanto, “Optimization of Coal Blending to Reduce Production Cost and Increase Energy Efficiency in PT . PJB UP Paiton,” Int. J. Eng. Sci. Invent. , vol. 5, no. 8, pp. 25–30, 2016.

et. al. Hadi, “Analisi Pengaruh Nilai Kalori Dan Heat Rate (Laju Kalor) Batubara Terhadap Efisiensi Thermal PLTU-Embalut 2X25 MW PT Cahaya Fajar Kaltim,” pp. 1–10, 2010.

Sathyanathan, “Blending of Coals in Power Stations Dr V T Sathyanathan,” pp. 1–3, 2012.

L. A. Hamzah, “Analisa Pengaruh Produksi Energi Listrik Terhadap Konsumsi Bahan Bakar Pada Pembangkit Listrik Tenaga Uap ( PLTU ) NII Tanasa,” vol. 04, no. 02, pp. 1–5, 2019.

E. G. Prasetyo, Sulasno, and S. Handoko, “Studi Tentang Indeks Keandalan Pembangkit Tenaga Listrik,” Univ. Diponegoro, no. January 2011, 2011.

A. Poullikkas, “Heat rate curve approximation for power plants without data measuring devices,” Int. J. Energy Environ., vol. 3, no. 5, pp. 651– 658, 2011.

Sugiyono, Metode Penelitian Pendidikan (Pendekatan Kuantitatif, Kualitatif dan R&D). Bandung: Alfabeta, 2016. [12] V. Gaspersz, Metode Perancangan Percobaan, vol. 1. Bandung: CV. Armico, 1991.

D. Kuswanto, Statistik Untuk Pemula dan Orang Awam. Jakarta: Laskar Aksara, 2012. [14] A. Fauzy, Statistik Industri, 1st ed., vol. 1. Jakarta: Erlangga, 2009.

D. Barry and W. Hardle, Applied Nonparametric Regression., vol. 156, no. 1. 1993.

S. Sunjoyo, R. Carolina, V. N. Magdalena, and A. Kurniawan, Aplikasi SPSS untuk SMART Riset (Program IBM SPSS 21.0), 1st ed. Bandung: Alfabeta, 2013.

I. Ghozali, Aplikasi Analisis Multivariate dengan Program IBM SPSS 21. Semarang: BPFE Universitas Diponegoro, 2012.

V. Hegde and M. S. Pallavi, “Descriptive analytical approach to analyze the student performance by comparative study using Z score factor through R language,” 2015 IEEE Int. Conf. Comput. Intell. Comput. Res. ICCIC 2015, pp. 0–3, 2016.

P. Erviana, “Faktor-Faktor yang Mempengaruhi Keberhasilan Belajar

Mahasiswa Pendidikan Matematika dengan Regresi Logistik,” J. Kegur. dan Ilmu Pendidik., 2014.

D. R. Gujarati, Dasar-Dasar Ekonometrika, 1st ed. Jakarta: Erlangga, 2006.

N. R. Draper and H. Smith, Applied Regression Analysis, Third Edition. New York: John Wiley & Sons, 1998.




DOI: http://dx.doi.org/10.12962/j23546026.y2020i3.10904

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