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All Journal Bulletin of Electrical Engineering and Informatics Journal of Renewable Energy, Electrical, and Computer Engineering BULETIN FISIKA
Asep Yoyo Wardaya
Diponegoro University
Astronomy Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Medicine & Pharmacology Physics

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Solar power plant on the rooftop of the Diponegoro University Rectorate: a technical and economic study Jaka Windarta; Asep Yoyo Wardaya; Singgih Saptadi
Bulletin of Electrical Engineering and Informatics Vol 12, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i4.3497

Abstract

Diponegoro University's Rectorate building uses electricity from the National Electricity Company with a S2 social subscription type of 105 kVA. The designed solar power plant has a capacity of 25 kW, or 25% of the installed electrical capacity. This research aims to compare the solar panels and inverter configurations that will be used in solar power plants. Moreover, this study aims to find out which configuration will provide the best results and the biggest savings. Technical analysis is carried out with the photovoltaic system (PVSyst) software to calculate the energy produced by solar panels, inverter losses, and other results. On the other hand, economic analysis is carried out with RetScreen software to calculate net present value (NPV), benefit cost ratio (BCR), and payback period (PP). Based on the PVSyst simulation results, the estimated energy production for each variant is 39,684 kWh; 39,633 kWh; 39,507 kWh; and 39,446 kWh. The first variant has the biggest performance ratio value of 84.1%. Based on the Retscreen calculation result, the third variant has an NPV value of $22,698, a BCR value of 2, and a PP of 8.7 years, which has the best result and the highest advantages.
Performance Analysis and Techno-Economic Evaluation of Solar Energy Retrofitting for Coal-Fired Power Plant in Central Kalimantan Province Irfan Ali; Hadiyanto Hadiyanto; Asep Yoyo Wardaya
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.16658

Abstract

The power generation sector contributes to climate change. Mitigation efforts are essential to ensure that the commitment to limiting the global temperature increase below 2°C stays on course. One option is to retrofit an existing power plant with new technology that allows integration with renewable energy. This study examines the incorporation of solar energy systems into the operational processes of coal-fired power plants. Utilizing solar energy to substitute steam extraction from high-pressure feed water heater No. 7. This study analyzes the performance of the power plant before and after the retrofit scenario within both power-boost (PB) and fuel-save (FS) modes. Performances under different load conditions also investigated. The results reveal that the thermal efficiency within both FS and power-boost (PB) modes increased up to 2 % compared to the base scenario. In both power-boost and fuel-save (FS) modes, there is a notable reduction in specific fuel consumption, with power-boost mode experiencing a decrease of 15.05 g/kWh and fuel-save mode showing a decrease of 15.75 g/kWh. Thus, the decreasing coal consumption implies reduced CO2 emissions within both FS and power-boost (PB) modes by 4.69 % and 4,94 %, respectively. Results under different loads show that the solar percentage and the rise in solar-to-electricity efficiency with decreasing loads. When operated in fuel-save (FS) mode, the proportions of solar electricity at VWO, 100%, 75%, and 50% load rates are 5.23 %, 5.53 %, 7.76%, and 11.92%, respectively. Moreover, the LCOE for solar electricity for both modes is 0.0267 USD/kWh, with expected investment returns of 5.87 years.
Studi Kelayakan Fitting Tool Farmakokinetik Berbasis Python untuk Estimasi Time-Integrated Activity Coefficient (TIAC) Deka Andini; Choirul Anam; Asep Yoyo Wardaya; Nur Rahmah Hidayati; Bisma Barron Patrianesha
BULETIN FISIKA Vol. 27 No. 2 (2026): BULETIN FISIKA
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BF.2026.v27.i02.p12

Abstract

Studi ini bertujuan  untuk  studi kelayakan implementasi fitting tool berbasis Python pada estimasi nilai TIAC  di organ ginjal. Data biokinetik ginjal kiri dan kanan  dari 8 pasien yang menjalani terapi [177Lu]Lu-DOTATATE yang digunakan pada studi ini diperoleh dari literatur: PMID33443063. Data biokinetik diambil dari pencitraan dual SPECT/CT pada empat titik waktu. Time-activity curve diperoleh dari proses fitting menggunakan mono-exponential fit function dan fungsi objektif untuk optimasi kurva. Evaluasi fitting menggunakan kriteria kontrol goodness of fit (GoF) yaitu inspeksi visual kurva, koefisien determinasi (R2), dan koefisien variasi (KV). Nilai TIAC dihitung menggunakan integrasi numerik area under the curve (AUC) dari kurva hasil fitting. Kemudian, nilai TIAC  yang dihitung menggunakan  fitting tool dibandingkan dengan nilai TIAC dari software SAAM II sebagai referensi menggunakan % relative deviation (RD). Hasil studi  menggunakan fitting tool menunjukkan  inspeksi visual kurva melewati  sebagian besar titik data , nilai R2 mendekati 1 dan koefisien variasi parameter kurva secara umum < 50%. Evaluasi GoF pada pasien ke-5 dan ke-8 tidak memenuhi kriteria akibat underfitting. Hasil perhitungan TIAC dari fitting tool sebesar 1.013 ± 0.459 (jam) dan TIAC dari SAAM II sebesar 0.981 ± 0.390 (jam) serta nilai %RD < 1% . Studi awal kelayakan fitting tool memiliki kesesuaian yang baik terhadap SAAM II memenuhi kriteria kontrol GoF dan  %RD <10%. Fitting tool ini berpotensi sebagai software bantu dosimetri internal yang mudah diintegrasikan dengan workflow klinis, akses lebih mudah dan biaya terjangkau.
Co-Authors Bisma Barron Patrianesha Choirul Anam AM Diponegoro Deka Andini H Hadiyanto Irfan Ali Jaka Windarta Nur Rahmah Hidayati Singgih Saptadi