TY - JOUR
T1 - Optimization of Battery Energy Storage System (BESS) sizing for solar power plant at remote area
AU - Baghta, N. A.
AU - Aprilianti, K. P.
AU - Aryani, D. R.
AU - Jufri, F. H.
AU - Utomo, A. R.
N1 - Funding Information:
This research is funded by a research grant 1143/UN2.RST/HKP.05.00/2020 from Universitas Indonesia.
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/11/24
Y1 - 2020/11/24
N2 - It is known that the availability of electrical energy will boost economic growth and also industrial growth. However, because the geographical location of the remote area is relatively isolated, the community's energy demand in the area cannot be fulfilled. Until now, the majority of operated power plants are diesel generator by using fossil fuels. Hence, the addition of renewable energy sources (RESs), especially solar energy (PV) and Battery Energy Storage System (BESS) become a choice to reduce the use of fossil fuels. This study discusses the sizing of BESS and PV to obtain an optimized configuration that maximizes the penetration of RESs and minimizes the utilization of diesel generator. The method of this study will be done by using data from the remote area with simulation and computation using HOMER that can get the best configuration of the system. Thus, the results of this study can be implemented in those areas either at the present or in the future.
AB - It is known that the availability of electrical energy will boost economic growth and also industrial growth. However, because the geographical location of the remote area is relatively isolated, the community's energy demand in the area cannot be fulfilled. Until now, the majority of operated power plants are diesel generator by using fossil fuels. Hence, the addition of renewable energy sources (RESs), especially solar energy (PV) and Battery Energy Storage System (BESS) become a choice to reduce the use of fossil fuels. This study discusses the sizing of BESS and PV to obtain an optimized configuration that maximizes the penetration of RESs and minimizes the utilization of diesel generator. The method of this study will be done by using data from the remote area with simulation and computation using HOMER that can get the best configuration of the system. Thus, the results of this study can be implemented in those areas either at the present or in the future.
UR - http://www.scopus.com/inward/record.url?scp=85097547657&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/599/1/012030
DO - 10.1088/1755-1315/599/1/012030
M3 - Conference article
AN - SCOPUS:85097547657
SN - 1755-1307
VL - 599
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012030
T2 - 2nd International Conference on Green Energy and Environment, ICoGEE 2020
Y2 - 8 October 2020
ER -
