OPTIMAL PLANNING RENEWABLE ENERGY RESOURCE WITH A PERCENTAGE OF 100% RENEWABLE ENERGY FOR LAB-ME BY CONSIDERING ECONOMIC AND RELIABILITY CRITERIA

• Main Author: Zamhuri Fuadi, Azam
• Format: Theses
• Language: Indonesia
• Subjects: Teknik (Rekayasa, enjinering dan kegiatan berkaitan)
• Online Access: https://digilib.itb.ac.id/gdl/view/45104
• Institution: Institut Teknologi Bandung

The Energy Management Laboratory (Lab-ME) has collected electricity system data from 2014. In the era of the internet system, data is new gold. Data after being processed and analyzed will provide a new information that has more value. The electrical load data in Lab-ME recorded from 2014 is used as information for the study if the electricity supply with the Renewable Fraction (RF) scenario is 100%, meaning 100% of electricity comes from renewable energy. The existence of a factor in the reliability of the system in recording makes the data lost. The missing data is solved by the machine learning method using SVM as an estimator algorithm. Electrical load data along with weather data as the main material for conducting the study in this study. From these data analyzed to look for optimal planning using HOMER Pro to obtain the value of Unmet Electrical Load (UEL), Net Precent Cost (NPC) and Cost of Energy (CoE). The missing data is estimated using the SVM method with Parameter C of 5.179 and the resulting Gamma value of 0.051. The estimator has a trust value of MAE value of 0.178, MSE value is 0.087 and RSME value is 0.297 and the correlation test gets an average value of 0.929. The most optimal scenario, namely PV + Battery, the optimal configuration obtained in MACS or Maximum Annual Capacity Shortage is 10% with the results obtained from computing having PV capacity of 4190 Wp, with 30pcs of battery (3.2V 100Ah), energy price or CoE of Rp. 6,824,00, Net present Cost (NPC) Rp.482,925,900.00, level of unreliability of the system or Unmet Electrical Load (UEL) 7.48% (245 kWh / yr), and excessive energy production of 30.7% (1456 kWh / yr).