TY - GEN
T1 - Methodology to reduce production cost by injecting PV system in industrial load management
AU - Ikromi, Muhammad
AU - Dalimi, Rinaldy
N1 - Funding Information:
This research was supported by University of Indonesia (UI) through PUTI Proceeding grant 2020 launched by DRPM UI.
Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/9/23
Y1 - 2020/9/23
N2 - The rising of electricity price over the years and the dependence of electricity supplied by utility company, significantly have caused the high production cost as well as low company competitiveness in industrial sector. This study presented a methodology to reduce industrial electricity cost by injecting photovoltaic or PV system as industrial load management in study case of PT.X as a leading textile industry in Depok, Indonesia. Various scenarios were compared to obtain the most beneficial results. Scenario I applied PV system without battery, Scenario II stored energy into batteries and be used during factory peak load at 14:00-22:00, while scenario III optimized energy during the night at 18:00-05:00. Considering the tariff of use, feed in tariff and investment cost, obtained that scenario III provided biggest savings about 47% of electricity bill. However, in study case of PT.X, applying PV system without battery as described in scenario I was better economically as it performed 36% of daily electricity reduction, biggest IRR 14%, greatest NPV and shortest payback period.
AB - The rising of electricity price over the years and the dependence of electricity supplied by utility company, significantly have caused the high production cost as well as low company competitiveness in industrial sector. This study presented a methodology to reduce industrial electricity cost by injecting photovoltaic or PV system as industrial load management in study case of PT.X as a leading textile industry in Depok, Indonesia. Various scenarios were compared to obtain the most beneficial results. Scenario I applied PV system without battery, Scenario II stored energy into batteries and be used during factory peak load at 14:00-22:00, while scenario III optimized energy during the night at 18:00-05:00. Considering the tariff of use, feed in tariff and investment cost, obtained that scenario III provided biggest savings about 47% of electricity bill. However, in study case of PT.X, applying PV system without battery as described in scenario I was better economically as it performed 36% of daily electricity reduction, biggest IRR 14%, greatest NPV and shortest payback period.
KW - Electricity reduction
KW - Load management
KW - PV system
UR - http://www.scopus.com/inward/record.url?scp=85097938841&partnerID=8YFLogxK
U2 - 10.1109/ICT-PEP50916.2020.9249910
DO - 10.1109/ICT-PEP50916.2020.9249910
M3 - Conference contribution
AN - SCOPUS:85097938841
T3 - Proceeding - 2nd International Conference on Technology and Policy in Electric Power and Energy, ICT-PEP 2020
SP - 16
EP - 20
BT - Proceeding - 2nd International Conference on Technology and Policy in Electric Power and Energy, ICT-PEP 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Technology and Policy in Electric Power and Energy, ICT-PEP 2020
Y2 - 23 September 2020 through 24 September 2020
ER -
