Assessment and Day-Ahead Forecasting of Hourly Solar Radiation in Medellín, Colombia

The description and forecasting of hourly solar resource is fundamental for the operation of solar energy systems in the electric grid. In this work, we provide insights regarding the hourly variation of the global horizontal irradiance in Medellín, Colombia, a large urban area within the t...

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Main Authors: Julián Urrego-Ortiz, J. Alejandro Martínez, Paola A. Arias, Álvaro Jaramillo-Duque
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/22/4402
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author Julián Urrego-Ortiz
J. Alejandro Martínez
Paola A. Arias
Álvaro Jaramillo-Duque
author_facet Julián Urrego-Ortiz
J. Alejandro Martínez
Paola A. Arias
Álvaro Jaramillo-Duque
author_sort Julián Urrego-Ortiz
collection DOAJ
description The description and forecasting of hourly solar resource is fundamental for the operation of solar energy systems in the electric grid. In this work, we provide insights regarding the hourly variation of the global horizontal irradiance in Medell&#237;n, Colombia, a large urban area within the tropical Andes. We propose a model based on Markov chains for forecasting the hourly solar irradiance for one day ahead. The Markov model was compared against estimates produced by different configurations of the weather research forecasting model (WRF). Our assessment showed that for the period considered, the average availability of the solar resource was of 5 PSH (peak sun hours), corresponding to an average daily radiation of ~5 kWh/m<sup>2</sup>. This shows that Medell&#237;n, Colombia, has a substantial availability of the solar resource that can be a complementary source of energy during the dry season periods. In the case of the Markov model, the estimates exhibited typical root mean squared errors between ~80 W/m<sup>2</sup> and ~170 W/m<sup>2</sup> (~50%&#8722;~110%) under overcast conditions, and ~57 W/m<sup>2</sup> to ~171 W/m<sup>2</sup> (~16%&#8722;~38%) for clear sky conditions. In general, the proposed model had a performance comparable with the WRF model, while presenting a computationally inexpensive alternative to forecast hourly solar radiation one day in advance. The Markov model is presented as an alternative to estimate time series that can be used in energy markets by agents and power-system operators to deal with the uncertainty of solar power plants.
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spelling doaj.art-e6c701ea7df940b1838e959d343c63442022-12-22T02:21:17ZengMDPI AGEnergies1996-10732019-11-011222440210.3390/en12224402en12224402Assessment and Day-Ahead Forecasting of Hourly Solar Radiation in Medellín, ColombiaJulián Urrego-Ortiz0J. Alejandro Martínez1Paola A. Arias2Álvaro Jaramillo-Duque3Grupo de Ingeniería y Gestión Ambiental (GIGA), Escuela Ambiental, Facultad de Ingeniería, Universidad de Antioquia, Calle 67 No. 53-108, Medellín 050010, ColombiaGrupo de Ingeniería y Gestión Ambiental (GIGA), Escuela Ambiental, Facultad de Ingeniería, Universidad de Antioquia, Calle 67 No. 53-108, Medellín 050010, ColombiaGrupo de Ingeniería y Gestión Ambiental (GIGA), Escuela Ambiental, Facultad de Ingeniería, Universidad de Antioquia, Calle 67 No. 53-108, Medellín 050010, ColombiaResearch Group in Efficient Energy Management (GIMEL), Departamento de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de Antioquia, Calle 67 No. 53–108, Medellín 050010, ColombiaThe description and forecasting of hourly solar resource is fundamental for the operation of solar energy systems in the electric grid. In this work, we provide insights regarding the hourly variation of the global horizontal irradiance in Medell&#237;n, Colombia, a large urban area within the tropical Andes. We propose a model based on Markov chains for forecasting the hourly solar irradiance for one day ahead. The Markov model was compared against estimates produced by different configurations of the weather research forecasting model (WRF). Our assessment showed that for the period considered, the average availability of the solar resource was of 5 PSH (peak sun hours), corresponding to an average daily radiation of ~5 kWh/m<sup>2</sup>. This shows that Medell&#237;n, Colombia, has a substantial availability of the solar resource that can be a complementary source of energy during the dry season periods. In the case of the Markov model, the estimates exhibited typical root mean squared errors between ~80 W/m<sup>2</sup> and ~170 W/m<sup>2</sup> (~50%&#8722;~110%) under overcast conditions, and ~57 W/m<sup>2</sup> to ~171 W/m<sup>2</sup> (~16%&#8722;~38%) for clear sky conditions. In general, the proposed model had a performance comparable with the WRF model, while presenting a computationally inexpensive alternative to forecast hourly solar radiation one day in advance. The Markov model is presented as an alternative to estimate time series that can be used in energy markets by agents and power-system operators to deal with the uncertainty of solar power plants.https://www.mdpi.com/1996-1073/12/22/4402global horizontal irradiance (ghi)forecastingclearness coefficientmarkov chainsweather research and forecasting modelsolar resource
spellingShingle Julián Urrego-Ortiz
J. Alejandro Martínez
Paola A. Arias
Álvaro Jaramillo-Duque
Assessment and Day-Ahead Forecasting of Hourly Solar Radiation in Medellín, Colombia
Energies
global horizontal irradiance (ghi)
forecasting
clearness coefficient
markov chains
weather research and forecasting model
solar resource
title Assessment and Day-Ahead Forecasting of Hourly Solar Radiation in Medellín, Colombia
title_full Assessment and Day-Ahead Forecasting of Hourly Solar Radiation in Medellín, Colombia
title_fullStr Assessment and Day-Ahead Forecasting of Hourly Solar Radiation in Medellín, Colombia
title_full_unstemmed Assessment and Day-Ahead Forecasting of Hourly Solar Radiation in Medellín, Colombia
title_short Assessment and Day-Ahead Forecasting of Hourly Solar Radiation in Medellín, Colombia
title_sort assessment and day ahead forecasting of hourly solar radiation in medellin colombia
topic global horizontal irradiance (ghi)
forecasting
clearness coefficient
markov chains
weather research and forecasting model
solar resource
url https://www.mdpi.com/1996-1073/12/22/4402
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