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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Journal of Engineering and Technological Sciences Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Meditya Wasesa
Institut Teknologi Bandung
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Journal : Jurnal Nasional Teknik Elektro dan Teknologi Informasi

 1 
Pemodelan Manajemen Energi Microgrid pada Sistem Bangunan Cerdas FX Nugroho Soelami; Edi Leksono; Irsyad Nashirul Haq; Justin Pradipta; Putu Handre Kertha Utama; Aretha Fieradiella Pahrevi; Faizatuzzahrah Rahmaniah; Meditya Wasesa
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 9 No 4: November 2020
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1528.314 KB) | DOI: 10.22146/jnteti.v9i4.488

Abstract

From the electricity system point of view, smart buildings can be seen as an integration of a microgrid electricity network that connects solar PV, storage system, and building load distribution. The operation condition of the microgrid needs to be evaluated and optimized to obtain efficient and reliable performance. This contribution presents an energy management modeling for the microgrid optimization process in a smart building system. The energy sources connected to the microgrid are solar PV, battery storage system, and the PLN (utility) grid. Combinations of load scenarios are evaluated, which consists of building a lighting system, water pump, dan HVAC system. The optimization goal is to find the optimal estimation of Self Consumption (SC) and Self Sufficiency (SS) values. A simulation result before the optimization shows that the system is operating with SC of 63.2% and SS of 96.32%. After the optimization, the values become SC = 84.68% and SS = 83.27%. Therefore, the amount of energy sourced from the Solar PV system is increased and the microgrid is working more optimally.
Co-Authors Akhmad Hadi Susanto Aretha Fieradiella Pahrevi Edi Leksono Faizatuzzahrah Rahmaniah Fakhri Ihsan Ramadhan FX Nugroho Soelami Irsyad N. Haq Irsyad Nashirul Haq Justin Pradipta Koko Friansa Putu Handre Kertha Utama Reyza Arif M. Natawidjaja Rezky Mahesa Nanda Rizki Armanto Mangkuto Togar Simatupang Yumna Puspita