This research aims is to design a renewable energy power plant based on the renewable energy potential in Domas village. Domas is a coastline that has a wind speed is has the potential to develop a wind power plant with enough capacity that can be utilized economically; in addition Domas is also a centre of rice and rice husks producer. Economic activity as a farmers and milkfish breeders and this area is set to be minapolitan area of Serang district. The problem is many of the ponds is placed far from electricity, so it requires another alternative as a source of electrical. Aquaculture requires aeration and lighting to increase fish and shrimp production, to keep the oxygen content dissolved in water. Lighting are required starting at 6 pm to 6 am, and the aerators based on the shrimp and fish life cycle are required to be switched on from 5 pm to 6 am. Wind data is obtained from Homer, meteonorm and NOAA databases, which is then processed in Homer for optimization. Potential data of husk is obtained from ministry of energy and mineral resources of the republic of Indonesia (EMR) database for Serang regency in 2016. For 1 hectare of land with 1.5 tons of fish, total electricity needed 2.4 kWh per day for lighting and 13 kWh per-day for aerator, with peak of 0.385 kW and 1.9 kW. By using the Aeolos 500 wind turbine as non-dispatchable resource and biomass generator as a dispatchable resource, a simulation is performed to get the system that produces the lowest LCOE (Levelized Cost of Electricity) and highest renewable energy (REN) factor for wind turbine. The recommended system is 2 kW Biomass Generator, 10 kW Inverter, 10 kW Rectifier, 24 Battery Trojan L18P 360 Ah capacity with 8 units of Aeolos 500 array. With economic LCOE $0.445 / kWh, and 82.2 % REN factor for wind turbine.
|Journal||IOP Conference Series: Earth and Environmental Science|
|Publication status||Published - 25 Jan 2018|
|Event||2nd International Tropical Renewable Energy Conference, i-TREC 2017 - Bali, Indonesia|
Duration: 3 Oct 2017 → 4 Oct 2017