Evaluation of different statistical techniques for developing cost correlations of micro hydro power plants

Malhan, Priyanka; Mittal, M.

doi:10.1016/j.seta.2020.100904

Cited by 10 publications

(3 citation statements)

References 24 publications

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“…PLTMH adalah pembangkit listrik dengan menfaatkan air sebagai tenaga untuk menghasilkan listrik dengan skala kecil. Pembangkit listrik ini merupakan pembangkit yang ramah lingkungan (3,11). Sumber energi gerak dari PLTMH ini memanfaatkan debit alir d an Analisis Potensi Pembangkit Listrik Tenaga Mikro Hydro pada Anak Sungai di Bulungan Wibowo Romadhoni, Dady Sulaiman, Purnama ketinggian terjunan air (head) yang bisa ditemukan saluran irigasi, anak sungai dan air terjun (10,12,13).…”

Section: Iunclassified

Analisis Potensi Pembangkit Listrik Tenaga Mikro Hydro Pada Anak Sungai di Bulungan

Sulaiman¹,

Romadhoni²,

Purnama³

2021

j. kumparan fis. j. teach. phys.

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ABSTRAK Energi listrik merupakan energi utama masyarakat pada era globalisasi. Perusahaan Listrik Nasional (PLN) masih belum bisa menjangkau daerah – daerah terpencil khususnya daerah kabupaten Bulungan yang memiliki banyak daerah terpencil. Masalah ini dapat diatasi dengan memanfaatkan anak sungai yang ada di kabupaten Bulungan sebagai sumber energi listrik. Penelitian ini dimulai dengan survey memilih 20 titik anak sungai yang akan diteliti di kabupaten Bulungan. Selanjutnya pengambilan data yaitu luas penampang sungai, kecepatan aliran sungai, dan tinggi jatuh air. Data ini akan dianalisis dengan menggunakan rumus agar memperoleh nilai daya teoritis yang dihasilkan oleh masing – masing sungai yang telah ditentukan. Hasil penelitian inimenunjukkan diantara 20 anak sungai yang diteliti hanya 2 anak sungai yang memiliki potensi yaitu sungai 9 dengan daya 5,5 kW dan sungai 14 dengan daya 8,5 kW. Hasil penelitian ini dapat dikembangkan lagi agar dapat bermanfaat bagi pengembangan daerah – daerah terpencil yang tidak terjangkau PLN. Kata kunci : Daya, Energi Terbarukan, PLTMH ABSTRACT Electrical energy is the main energy of society in the era of globalization. Perusahaan Listrik Nasional (PLN) is still unable to reach remote areas, especially the Bulungan district which has many remote areas. This problem can be overcome by utilizing tributaries in Bulungan district as a source of electrical energy. This research began with a survey selecting 20 tributary points to be studied in Bulungan district. Furthermore, data collection was the cross-sectional area of the river, river flow velocity, and water fall height. This data was analyzed using a formula in order to obtain the theoretical power value generated by each predetermined river. The results of this study indicatde that among the 20 tributaries studied, only 2 tributaries have potential, namely river 9 with a power of 5.5 kW and river 14 with a power of 8.5 kW. It is hoped that the results of this research can be further developed so that they can be useful for the development of remote areas that are not reached by PLN. Keyword: PLTMH, Power, Renewable Energy

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Section: Iunclassified

Analisis Potensi Pembangkit Listrik Tenaga Mikro Hydro Pada Anak Sungai di Bulungan

Sulaiman¹,

Romadhoni²,

Purnama³

2021

j. kumparan fis. j. teach. phys.

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“…However, he did not apply an optimization method. Malhan and Mittal [39] applied a polynomial regression model base to generate cost correlations for the major components in micro hydro power plants. Shamoushaki et al [40] proposed well drilling cost models for different regions.…”

Section: Introductionmentioning

confidence: 99%

Development of Cost Correlations for the Economic Assessment of Power Plant Equipment

et al. 2021

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A comprehensive cost correlation analysis was conducted based on available cost correlations, and new equipment cost correlation models were proposed based on QUE$TOR modeling. Cost correlations for various types of equipment such as pumps, compressors, heat exchangers, air coolers, and pressure vessels were generated on the basis of extracted cost data. The models were derived on the basis of robust multivariable regression with the aim of minimizing the residuals by using the genetic algorithm. The proposed compressor models for both centrifugal and reciprocating types showed that the Turton cost estimation for carbon steel compressor and Matche’s and Mhhe’s data were compatible with the generated model. According to the results, the cost trend in the Turton correlation for carbon steel had a somewhat lower estimation than these correlations. Further, the cost trend of the Turton correlation for carbon steel pressure vessels was close to the presented model trend for both bullet and sphere types. The Turton cost trend for U-tube shell-and-tube heat exchangers with carbon steel shell and stainless steel tube was close to the proposed heat exchanger model. Furthermore, the Turton cost trend for the flat-plate heat exchanger using carbon steel was similar to the proposed model with a slight difference.

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“…They used a database from an onshore field in Brazil to show the advantages of their approach to developing new drillings. Malhan and Mittal [25] applied a polynomial regression model base to generate cost correlations for the main components in micro hydropower plants. Shamoushaki et al [26] generated cost models of equipment purchasing for several geothermal power plant components such as pumps, compressors, heat exchangers, air coolers, and pressure vessels.…”

Section: Introductionmentioning

confidence: 99%

Different Geothermal Power Cycle Configurations Cost Estimation Models

et al. 2021

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An economic assessment of different geothermal power cycle configurations to generate cost models is conducted in this study. The thermodynamic and exergoeconomic modeling of the cycles is performed in MATLAB coupled to Refprop. The models were derived based on robust multivariable regression to minimize the residuals by using the genetic algorithm. The cross-validation approach is applied to determine a dataset to examine the model in the training phase for validation and reduce the overfitting problem. The generated cost models are the total cost rate, the plant's total cost, and power generation cost. The cost models and the relevant coefficients are generated based on the most compatibilities and lower error. The results showed that one of the most influential factors on the ORC cycle is the working fluid type, which significantly affects the final economic results. Other parameters that considerably impact economic models results, of all configurations, are geothermal fluid pressure and temperature and inlet pressure of turbine. Rising the geothermal fluid mass flow rate has a remarkable impact on cost models as the capacity and size of equipment increases. The generated cost models in this study can estimate the mentioned cost parameters with an acceptable deviation and provide a fast way to predict the total cost of the power plants.

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Evaluation of different statistical techniques for developing cost correlations of micro hydro power plants

Cited by 10 publications

References 24 publications

Analisis Potensi Pembangkit Listrik Tenaga Mikro Hydro Pada Anak Sungai di Bulungan

Analisis Potensi Pembangkit Listrik Tenaga Mikro Hydro Pada Anak Sungai di Bulungan

Development of Cost Correlations for the Economic Assessment of Power Plant Equipment

Different Geothermal Power Cycle Configurations Cost Estimation Models

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