Putra, Adyatma Taufiq Rahman (2020) Optimisasi Desain Pada High Pressure Heater (HPH) Pada PLTU Paiton Dengan Menggunakan Metode Stochastic Algorithm. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
High pressure heater merupakan salah satu contoh dari pemanfaatan heat exchanger yang banyak digunakan di industri PLTU. Heat exchanger merupakan salah satu alat yang digunakan dalam proses perpindahan panas fluida dengan fluida lain tanpa terjadi perpindahan massa di dalamnya dan dapat dipergunakan sebagai pemanas maupun pendingin untuk mememnuhi output yang ditentukan. Di Indonesia hampir 40% energi yang ada digunakan PLTU membangkitkan listrik. Untuk itu dibutuhkan efisiensi yang tinggi untuk mengehemat energi yang digunakan. Efisiensi dari shell and tube heat exchanger dapat dilihat dari nilai overall heat transfer coefficient yang dihasilkan dari heat exchanger itu sendiri. Untuk meningkatkan nilai overall heat transfer coefficient dilakukan dengan mengubah arah aliran fluida di sisi shell dengan menggunakan helical baffle. Untuk itu dilakukan optimisasi dengan menggunakan metode stochastic algorithm agar didapatkan nilai overall heat transfer coefficient yang tinggi dan shell pressure drop yang rendah. Dari hasil optimisasi yang telah dilakukan menggunakan genetic algorithm dan duelist algorithm didapatkan hasil optimisasi lebih baik dengan nilai overall heat transfer coefficient sebesar 5217.13 W/m2 K dan shell pressure drop 48.45 kPa dari metode genetic algorithm.
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High pressure heater is one example of heat exchangers that are widely used in the power plant industry. Heat exchanger is one of the tools used in the process of transferring fluid heat with other fluids without mass transfer occurs in it and can be used as a heater or cooler to find the specified output. In Indonesia, almost 40% of the energy used by PLTU to generates electricity. For this reason, high efficiency is needed to save the energy used. The efficiency of the shell and tube heat exchanger can be seen from the overall heat transfer coefficient value generated from the heat exchanger itself. To increase the overall value of the heat transfer coefficient is done by changing the direction of fluid flow on the side of the shell by using helical baffles. For this reason optimization is performed using the stochastic algorithm method to obtain a high overall heat transfer coefficient value and a low shell pressure drop. From the optimization results that have been done using genetic algorithm and duelist algorithm, the optimization results are better with an overall heat transfer coefficient of 5217.13 W / m2 K and a shell pressure drop of 48.45 kPa from the genetic algorithm method.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Heat exchanger, Helical baffle, Overall heat transfer coefficient |
| Subjects: | Q Science > QA Mathematics > QA402.5 Genetic algorithms. Interior-point methods. T Technology > TJ Mechanical engineering and machinery > TJ263 Heat exchangers |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Adyatma Taufiq Rahman Putra |
| Date Deposited: | 13 Aug 2020 06:24 |
| Last Modified: | 07 Jun 2023 07:20 |
| URI: | http://repository.its.ac.id/id/eprint/78019 |
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