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Performance Analysis of Energy Storage in Smart Microgrid Based on Historical Data of Individual Battery Temperature and Voltage Changes Haq, Irsyad Nashirul; Kurniadi, Deddy; Leksono, Edi; Yuliarto, Brian; Soelami, F.X. Nugroho
Journal of Engineering and Technological Sciences Vol 51, No 2 (2019)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (983.722 KB) | DOI: 10.5614/j.eng.technol.sci.2019.51.2.1

Abstract

In this work, a historical data based battery management system (BMS) was successfully developed and implemented using an embedded system for condition monitoring of a battery energy storage system in a smart microgrid. The performance was assessed for 28 days of operating time with a one-minute sampling time. The historical data showed that the maximum temperature increment and the maximum temperature difference between the batteries were 4.5 °C and 2.8 °C. One of the batteries had a high voltage rate of change, i.e. above 3.0 V/min, and its temperature rate of change was very sensitive, even at low voltage rate of changes. This phenomenon tends to indicate problems that may deplete the battery energy storage system’s total capacity. The primary findings of this study are that the voltage and temperature rates of change of individual batteries in real operating conditions can be used to diagnose and foresee imminent failure, and in the event of a failure occurring the root cause of the problem can be found by using the historical data based BMS. To ensure further safety and reliability of acceptable practical operating conditions, rate of change limits are proposed based on battery characteristics for temperatures below 0.5 °C/min and voltages below 3.0 V/min.
Performance Analysis of Energy Storage in Smart Microgrid Based on Historical Data of Individual Battery Temperature and Voltage Changes Irsyad Nashirul Haq; Deddy Kurniadi; Edi Leksono; Brian Yuliarto; F.X. Nugroho Soelami
Journal of Engineering and Technological Sciences Vol. 51 No. 2 (2019)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2019.51.2.1

Abstract

In this work, a historical data based battery management system (BMS) was successfully developed and implemented using an embedded system for condition monitoring of a battery energy storage system in a smart microgrid. The performance was assessed for 28 days of operating time with a one-minute sampling time. The historical data showed that the maximum temperature increment and the maximum temperature difference between the batteries were 4.5 °C and 2.8 °C. One of the batteries had a high voltage rate of change, i.e. above 3.0 V/min, and its temperature rate of change was very sensitive, even at low voltage rate of changes. This phenomenon tends to indicate problems that may deplete the battery energy storage system's total capacity. The primary findings of this study are that the voltage and temperature rates of change of individual batteries in real operating conditions can be used to diagnose and foresee imminent failure, and in the event of a failure occurring the root cause of the problem can be found by using the historical data based BMS. To ensure further safety and reliability of acceptable practical operating conditions, rate of change limits are proposed based on battery characteristics for temperatures below 0.5 °C/min and voltages below 3.0 V/min.
Data Driven Building Electricity Consumption Model Using Support Vector Regression FX Nugroho Soelami; Putu Handre Kertha Utama; Irsyad Nashirul Haq; Justin Pradipta; Edi Leksono; Meditya Wasesa
Journal of Engineering and Technological Sciences Vol. 53 No. 3 (2021)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2021.53.3.13

Abstract

Every building has certain electricity consumption patterns that depend on its usage. Building electricity budget planning requires a consumption forecast to determine the baseline electricity load and to support energy management decisions. In this study, an algorithm to model building electricity consumption was developed. The algorithm is based on the support vector regression (SVR) method. Data of electricity consumption from the past five years from a selected building object in ITB campus were used. The dataset unexpectedly exhibited a large number of anomalous points. Therefore, a tolerance limit of hourly average energy consumption was defined to obtain good quality training data. Various tolerance limits were investigated, that is 15% (Type 1), 30% (Type 2), and 0% (Type 0). The optimal model was selected based on the criteria of mean absolute percentage error (MAPE) < 20% and root mean square error (RMSE) < 10 kWh. Type 1 data was selected based on its performance compared to the other two. In a real implementation, the model yielded a MAPE value of 14.79% and an RMSE value of 7.48 kWh when predicting weekly electricity consumption. Therefore, the Type 1 data-based model could satisfactorily forecast building electricity consumption.
Pembuatan Perangkat Keras dan Analisis Sub-Metering Konsumsi Energi Listrik Ratna Nataliani; FX Nugroho Soelami; Eko Mursito Budi
Jurnal Otomasi Kontrol dan Instrumentasi Vol 6 No 1 (2014): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2014.6.1.3

Abstract

AbstrakPemantauan konsumsi energi merupakan langkah manajemen energi yang efektif dalam penghematan energi untuk jangka panjang. Pada penelitian ini dilakukan pengembangan pada perangkat keras dari sistem pemantauan untuk sub-metering. Sub-metering yang dilakukan membagi pengukuran menjadi tiga masukan arus: stop kontak, air conditioner, dan penerangan ambient, yang diakuisisi dengan menggunakan sensor arus non-invasive SCT-013-030. Data yang diakuisisi kemudian diolah oleh Arduino UNO, disimpan ke SD Card menggunakan Arduino Ethernet Shield dalam keadaan offline untuk kemudian dibuat model hariannya dari hasil pengukuran sebagai referensi pengukuran real-time.Untuk memverifikasi model harian dari hasil pengukuran harian pengguna energi, dibuat suatu pemodelan konsumsi listrik base-line yang diasumsikan hemat. Tampilan real-time yang nantinya dibandingkan dengan pemodelan harian diunggah ke jaringan Ethernet dengan menggunakan Arduino Ethernet Shield dalam keadaan online. Sedangkan perangkat lunak yang digunakan untuk menampilkan di halaman web adalah RGraph, sebuah perpustakaan grafik bebas pakai berbasis javascript.Pada akhirnya, penelitian ini dapat melahirkan rekomendasi-rekomendasi penghematan yang spesifik. Hasil penelitian ini juga menunjukkan bahwa sensitivitas sensor arus dan signal conditioner yang digunakan adalah sebesar 7 Ampere/bitdengan tingkat presisi yang baik. Sedangkan resolusi, yakni perubahan 1 bit pada signal conditioner terjadi apabila ada perubahan setiap 0, 15 Ampere pada sensor arus.Kata Kunci: Pemantauan Energi, Sub-metering, SCT-013-030, Arduino, Arduino Ethernet Shield, Real-time, RGraph
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.
Perancangan Sistem Pemanenan Energi Surya Terintegrasi Kaca Bangunan, Studi Kasus: Gedung Bandar Lampung Koko Friansa; Rishal Asri; Monna Rozana; FX Nugroho Soelami
Journal of Science and Applicative Technology Vol 3 No 2 (2019): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1196.838 KB) | DOI: 10.35472/jsat.v3i2.209

Abstract

In this paper, design of solar energy harvesting system which integrated in building glass window was proposed. The location as the design reference is Bandar Lampung Building. Bandar Lampung Building uses 90% of the glass on the outside walls building with facing the sunrise and sunset. The design solar energy harvesting system was consisted of solar glass and electronic power system. Solar glass using several mini PV affixed on the glass with space in between, so partially of sunlight pass into the room. The solar energy harvesting system used for DC house network and not connected to the grid system. The solar energy harvesting is also equipped with power electronic system such as MPPT, lead acid battery, and DC-DC converter. The design of solar energy harvesting system is using calculative method based on secondary data several references for this case. Area of the solar glass reaches 16.32 m2 for 1 office room scale. The ratio between PV and room glass about 0.35. The power average of the solar glass on the glass building with facing to the sunrise is about 74.35 W, and then the average power of the solar glass with facing to the sunlight about 161.32W.
Simulasi Energi dan Keekonomian Sistem Pembangkit Listrik Tenaga Surya (PLTS) untuk Fungsi Peak Load Shaving pada Bangunan di Lingkungan Kampus ITB Irsyad Nashirul Haq; Justin Pradipta; Muhamad Riezar Satria Sheba; Alief Widjoseno Damar Persada; F.X. Nugroho Soelami; Edi Leksono
Journal of Science and Applicative Technology Vol 5 No 1 (2021): Journal of Science and Applicative Technology June Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v5i1.449

Abstract

Pada paper ini, dilakukan simulasi produksi energi dan keekonomian dari sistem PLTS terintegrasi dengan jaringan listrik yang merupakan bagian dari proyek instalasi sistem smart microgrid di bangunan Center for Advanced Sciences (CAS) ITB. Terdapat dua sistem PLTS yang dianalisis yaitu sistem PLTS 40 kWp tanpa baterai, dan sistem PLTS 10 kWp dengan baterai yang terhubung ke beban kritis. Kedua sistem PLTS tersebut dirancang dengan tujuan peak load shaving yang dapat meminimalisir adanya ketidakseimbangan antara produksi energi surya dan permintaan listrik. Kedua sistem dianalisis dengan metoda simulasi berdasarkan aspek energi dan ekonomi menggunakan perangkat lunak PVsyst dan Homer. Dari hasil simulasi sistem PLTS 40 kWp didapatkan nilai performance ratio (PR) sebesar 0,833, renewable fraction (RF) sebesar 18,73%, dan cost of energy (COE) sebesar Rp 1.251,85/kWh yang mana nilai PR dan COE telah memenuhi target bisnis: PR > 0.8 dan COE < Rp 1.467,28/kWh tetapi tidak memenuhi target RF > 35%. Sementara dari hasil simulasi sistem PLTS 10 kWp didapatkan nilai PR sebesar 0,77, RF sebesar 44,38% hingga 52,19% pada rentang depth of discharge 20% - 80%, dan COE sebesar Rp 2.103/kWh hingga Rp 6.315/kWh pada rentang DoD 20% - 80% yang mana hanya nilai RF telah memenuhi target bisnis.
Optimisasi Perletakan dan Penjadwalan Sistem Pencahayaan untuk Meningkatkan Eksitansi Rata-rata Permukaan dalam Ruang Rizki Armanto Mangkuto; Albertus Wida Wiratama; Karima Fadla; F.X. Nugroho Soelami
Jurnal Permukiman Vol 14 No 1 (2019)
Publisher : Direktorat Bina Teknik Permukiman dan Perumahan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31815/jp.2019.14.45-54

Abstract

Penelitian ini dilakukan untuk mendemonstrasikan suatu metode optimisasi perletakan dan penjadwalan sistem pencahayaan dalam ruang, untuk meningkatkan eksitansi rata-rata permukaan dalam ruang (MRSE) dan metrik otonomi cahaya alami (DA), serta menurunkan konsumsi energi pencahayaan tahunan. Dua ruang laboratorium uji beton yang berlokasi di Balai Besar Bahan dan Barang Teknik, Bandung, Indonesia, dipilih sebagai studi kasus. Optimisasi pencahayaan alami dilakukan dengan menghilangkan langit-langit gantung laboratorium, memenuhi target MRSE200/50% dan DA200/50% sepenuhnya di ruang timur, tetapi hanya sebagian di ruang barat. Optimisasi pencahayaan elektrik dilakukan untuk memenuhi target yang tersisa dengan menentukan posisi luminer menggunakan algoritme genetik (GA) dalam simulasi Grasshopper dan Octopus. Posisi yang dihasilkan memenuhi seluruh tujuan di sebagian besar zona. Penjadwalan kontrol pencahayaan kemudian diusulkan berdasarkan profil DA dan MRSE dalam ruang. Sistem terintegrasi yang diusulkan menghasilkan konsumsi energi pencahayaan tahunan sebesar 9,9 kWh/m2/tahun untuk ruang barat dan 1,0 kWh/m2/tahun untuk ruang timur. Penelitian ini dilakukan untuk mendemonstrasikan suatu metode optimisasi perletakan dan penjadwalan sistem pencahayaan dalam ruang, untuk meningkatkan eksitansi rata-rata permukaan dalam ruang (MRSE) dan metrik otonomi cahaya alami (DA), serta menurunkan konsumsi energi pencahayaan tahunan. Dua ruang laboratorium uji beton yang berlokasi di Balai Besar Bahan dan Barang Teknik, Bandung, Indonesia, dipilih sebagai studi kasus. Optimisasi pencahayaan alami dilakukan dengan menghilangkan langit-langit gantung laboratorium, memenuhi target MRSE200/50% dan DA200/50% sepenuhnya di ruang timur, tetapi hanya sebagian di ruang barat. Optimisasi pencahayaan elektrik dilakukan untuk memenuhi target yang tersisa dengan menentukan posisi luminer menggunakan algoritme genetik (GA) dalam simulasi Grasshopper dan Octopus. Posisi yang dihasilkan memenuhi seluruh tujuan di sebagian besar zona. Penjadwalan kontrol pencahayaan kemudian diusulkan berdasarkan profil DA dan MRSE dalam ruang. Sistem terintegrasi yang diusulkan menghasilkan konsumsi energi pencahayaan tahunan sebesar 9,9 kWh/m2/tahun untuk ruang barat dan 1,0 kWh/m2/tahun untuk ruang timur.
Perancangan Sistem Pembangkit Listrik Tenaga Surya (PLTS) Off-Grid Pada Gedung Perkuliahan Fauzsan, Achmad Yamani; Yunesti, Putty; Wardani, Wulan Kusuma; Soelami, FX Nugroho; Friansa, Koko; Bangun Persada, Guna; Wira Buana, Setiadi
Journal of Community Development and Disaster Management Vol 7 No 1 (2025): Journal of Community Development and Disaster Management
Publisher : Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/jcd.v7i1.6965

Abstract

Off-Grid Solar Power Plant (PLTS) system planning at Building F of the Sumatra Institute of Technology, South Lampung Regency, Lampung Province is one of the efforts or strategies in reducing the use of conventional electrical energy from the main supplier, namely the State Electricity Company (PLN), and helping to succeed the government's efforts to increase the consumption of new and renewable energy. In PLTS system planning, the aspects that will be analyzed in this research are technical aspects with the help of PVsyst software to collect data regarding technical indicators such as performance ratios and energy production generated by Off-Grid PLTS. In this research, the required land area is 52 m2 from a total of 930 m2 of available land. The simulation results show that the planned rooftop solar system has a capacity of 10.8 kWp using 24 units of AE SOLAR MC144 430-450 W type solar modules, with the capacity of each module being 450 Wp. The PLTS system uses 1 inverter with the type Victron Quattro 48/15000 (15 kW) with a capacity of 15,000 W and uses a battery with the type LUNA2000-15- S0 which has a capacity of 15 kW in each unit. In this study, the solar module received solar irradiation of 4,616 kWh/m2 per day and 1,684 kWh/m2 per year. The production obtained in this study amounted to 14,475 kWh per year. The percentage of the Performance Ratio (PR) value produced by the designed OffGrid PLTS system is 73.01%.
Analysis of Electrical Energy Consumption in Office Buildings of the Institute Technology of Sumatra in Energy Conservation and Efficiency Efforts Naimah, Khoirun; Arirohman, Ilham Dwi; Zen, Muhammad Rizky; Wicaksono, Rihardian Maulana; Soelami, F.X. Nugroho; Rahmatullah, Abri; Purba, Leonardo D.; Gaol, Javeni Eysama L.
Jurnal Edukasi Elektro Vol. 7 No. 2 (2023): Jurnal Edukasi Elektro, Volume 7, Nomor 2, 2023
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v7i2.65003

Abstract

Electrical energy is one of the basic human needs in carrying out various activities or daily activities, especially in office buildings such as office buildings of state higher education institutions, namely the Sumatra Institute of Technology (ITERA). Office buildings are the third highest consumer of electrical energy after shopping centers and hotels. The high demand for electrical energy requires the user sector to make efficiency in energy use. Before making efficiency, it is necessary to know the profile of electrical energy consumption including energy consumption intensity (ECI) and significant energy users. Therefore, in this study, an analysis of electrical energy consumption in each ITERA office building was carried out, through observation and interviews according to SNI / ISO 50002: 2018 energy audit procedures. The results obtained show that the total energy use of the 6 largest buildings (A, B, C, D, E, and F) in May 2023 is 144768 kWh and from the calculation of the ECI value is in the very efficient category (7.44 kWh/m2/month). From 6 existing buildings, there are 3 buildings that are very efficient, 1 building is efficient, and 2 buildings are quite efficient. Then, significant energy users were found by 83% in building C AC. Recommendations for saving energy in the effort of energy conservation and efficiency that can be done include, making changes in habits / patterns of use of electrical energy user equipment, especially in air conditioners and dispensers, so as to save electricity 2-21%, and retrofitting refrigerant AC types of split ducts and cassettes that still use R-22 with MC-22 which can save electricity 15-25%.