Methodology to reduce production cost by injecting PV system in industrial load management

Muhammad Ikromi, Rinaldy Dalimi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceeding - 2nd International Conference on Technology and Policy in Electric Power and Energy, ICT-PEP 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages16-20
Number of pages5
ISBN (Electronic)9781728188355
DOIs
Publication statusPublished - 23 Sep 2020
Event2nd International Conference on Technology and Policy in Electric Power and Energy, ICT-PEP 2020 - Bandung, Indonesia
Duration: 23 Sep 202024 Sep 2020

Publication series

NameProceeding - 2nd International Conference on Technology and Policy in Electric Power and Energy, ICT-PEP 2020

Conference

Conference2nd International Conference on Technology and Policy in Electric Power and Energy, ICT-PEP 2020
Country/TerritoryIndonesia
CityBandung
Period23/09/2024/09/20

Keywords

  • Electricity reduction
  • Load management
  • PV system

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