Dynamic Optimal Power and Gas Flow Pada Sistem Tenaga Listrik dan Gas Alam Terintegrasi Mempertimbangkan Carbon Capture Storage

Daluadi, Ignatius Bintang (2024) Dynamic Optimal Power and Gas Flow Pada Sistem Tenaga Listrik dan Gas Alam Terintegrasi Mempertimbangkan Carbon Capture Storage. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Seiring dengan perkembangan zaman dan pertumbuhan penduduk, maka kebutuhan listrik akan naik tiap tahunnya. Peningkatan kebutuhan listrik harus diimbangi dengan peningkatan pembangkitan listrik. Pembuatan kebijakan yang didasarkan oleh tingkat kesadaran publik mengenai perubahan iklim, penggunaan bahan bakar fosil, dan energi baru terbarukan meningkatkan penggunaan sumber energi baru terbarukan. Dengan mengintegrasikan beberapa sektor energi, seperti sistem tenaga listrik dengan sistem gas alam dapat meningkatkan efisiensi serta keberlanjutan dari pemanfaatan energi. Pengintegrasian sistem gas alam didasarkan kemampuan respon yang cepat, operasional yang fleksibel, serta emisi karbon yang rendah. Optimal power dan gas flow merupakan masalah mendasar pada sistem tenaga listrik dan gas alam terintegrasi dikarenakan beban yang bervariasi dari waktu ke waktu. Dibutuhkan optimal power and gas flow untuk mengoptimasi operasi pada sistem tenaga listrik dan gas alam terintegrasi. Dengan meningkatnya kesadaran terhadap dampak industri pada lingkungan maka peraturan pada emisi karbon semakin ketat. Dengan penerapan Carbon Capture Storage pada pembangkit yang ada diharapkan pengurangan nilai emisi karbon pada pembuangan. Pada penelitian ini akan dilakukan penyelesaian optimal power and gas flow sistem tenaga listrik dan gas alam terintegrasi mempertimbangkan Carbon Capture Storage menggunakan metode Mixed Integer Linear Programming (MILP) menggunakan MATLAB. Dengan menggunakan Carbon Capture Storage dalam sistem tenaga listrik dan gas alam terintegrasi didapatkan terjadi pengurangan emisi sebesar 254,254 ton CO2 pada simulasi 6 bus listrik dan 6 node gas dan 135,537 ton CO2 pada simulasi 24 bus listrik dan 20 node gas.
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With the growth of technology and exponential growth of population across the world, the demand and the usage of electricity is increasing each year. The increases of the electricity consumption need to be balanced with the increases of electricity generation. The recent policy and aggrement that was made based on the rising awareness of public perception about climate change, usage of fossil fuel, and renewable energy impacts the usage of renewable energy. By integrating some sector of energies, for example electrical system with gas system can increase the efficiency and the sustainibility of the system. Integrating natural gas is based on system fast response, operational flexibility, dan low carbon emission. Optimal power dan gas flow is a common problem in integrated electric and gas system because of the varying demand from time to time. Optimal power dan gas flow is needed to optimize the operation of integrated electric and gas system. With the raising awareness of industry impact to climate, rules about carbon emission were changed. By using Carbon Capture Storage, the emission that is generated by power plant will be reduced. In this paper will disscus about dynamic optimal power flow of integrated electric and gas system considering Carbon Capture Storage using MILP. By installing Carbon Capture Storage system in the integrated system of power and gas, the carbon emission is reduced by 254,254 ton in the 6 electric bus and 6 gas node system, and in the 24 electric bus and 20 gas node system the emission is reduced by 135,537.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Dynamic Optimal Power Flow, Carbon Capture Storage, MILP, Integrated Electric and Gas System, Dynamic Optimal Power Flow, Carbon Capture Storage, MILP, Sistem Listrik dan Gas Alam Terintegrasi
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1322.6 Electric power-plants T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3030 Electric power distribution systems
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Ignatius Bintang Daluadi
Date Deposited:	01 Aug 2024 03:58
Last Modified:	01 Aug 2024 03:58
URI:	http://repository.its.ac.id/id/eprint/111714

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