Design of Solar Irradiance Measurement Based on Analitycal Data Using Microcontroller

Adji Prastiantono, Muhammad Fadhil, Amien Rahardjo, Fauzan H. Jufri, Faiz Husnayain

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

3 Citations (Scopus)

Abstract

Based on the 2018 RUPTL, Indonesia targets the development of renewable energy plants reach 23% on 2025. With a tropical climate, Indonesia is a country that has considerable potential to use photovoltaic as a renewable energy. But in its use, photovoltaic has an obstacle that can be detrimental namely intermittent properties. These constraints can be overcome by means of planning that aims to optimize photovoltaic performance. Planning in this study is in the form of actual measurement results from solar irradiance with data based on surrounding environmental conditions such as temperature, relative humidity, rainfall, and UV intensity. Then the data is processed using the Ordinary Least Square (OLS) method. The purpose of this study is to obtain accurate solar irradiance values so that they can be used in planning photovoltaic optimization. This measurement has an error value of 18.9% which is calculated using the MAPE method by using Solar Power Meter as the actual value.

Original languageEnglish
Title of host publicationCENCON 2019 - 2019 IEEE Conference on Energy Conversion
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages137-141
Number of pages5
ISBN (Electronic)9781728134338
DOIs
Publication statusPublished - Oct 2019
Event4th IEEE Conference on Energy Conversion, CENCON 2019 - Yogyakarta, Indonesia
Duration: 16 Oct 201917 Oct 2019

Publication series

NameCENCON 2019 - 2019 IEEE Conference on Energy Conversion
Volume2019-January

Conference

Conference4th IEEE Conference on Energy Conversion, CENCON 2019
Country/TerritoryIndonesia
CityYogyakarta
Period16/10/1917/10/19

Keywords

  • OLS
  • Ordinary Least Square method
  • Photovoltaic
  • Photovoltaic Planning
  • Solar Irradiance

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