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Journal : Proceeding of the Electrical Engineering Computer Science and Informatics

Feasibility Study of Rooftop Grid Connected PV System for Peak Load Reduction Syafii Syafii; Novizon Novizon; Wati Wati; Dona Juliandri
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (334.777 KB) | DOI: 10.11591/eecsi.v5.1652

Abstract

This paper presented the economic feasibility analysis of grid-connected photovoltaic on the roof of building, to reduce peak electrical demand. The Engineering Faculty electrical system is used as case study of PV system economic feasibility. The economic calculation assumptions used are: electricity tariff IDR 1114.74 per kWh based on electricity tariff for medium voltage load, estimated annual module degradation 0.5% and the life expectancy of the solar panels 25 years. The interest rate using of Bank Indonesia (BI) rate for 2018 i.e. 4.25% and inflation rate 3% also considered. The initial investment required to build 117.5 kWp PV system is IDR 2,413 million. The operational and maintenance costs are estimated 1% of initial investment per year. The result of cash flow rate shows that a positive NPV is achievable and payback period less then solar panels life expectancy. The simple payback period is 11 years and discounted payback period calculated by consider multiple parameters to be 14 years. The result of economic analysis using current rate value indicate that the project is profitable.
Optimal Sizing of Micro Hydropower to Improve Hybrid Renewable Power System Syafii Syafii; Heru Dibyo Laksono; Novizon Novizon; Rahmad Fahreza
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 1: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2094

Abstract

This paper presents an analysis of optimal micro hydropower (MH) capacity of hybrid systems to improve renewable energy based power systems. The electricity system was designed by considering river water flow data and solar radiation data at the research location, Andalas University. Optimal results obtained for the configuration of the Grid, MH, and PV with a head height of 30 m and a flow rate of 800 L/s with the lowest COE value of $ 0.065. As an optimal sizing system has been able to increase the composition of renewable energy generation in the Unand electrical network. The renewable energy fraction has increased from 26.4% to 36.5%. Therefore, determining the optimal capacity will increase the use of renewable energy generation. Conversely, an increase in electricity supply from renewable energy plants will reduce electricity consumption from the PLN grid. The latest excess power generation at a low load can be sold to the PLN grid