Analysis of the energy service in non-interconnected zones of Colombia using business intelligence

This work aims to evaluate the provision of energy services in non-interconnected zones (NIZ) between 2018 and 2019 using open data from the Colombian government and business intelligence methodology. The analysis is approached from the ETL (Extract, Transform, Load). It focuses on the variables obt...

Full description

Bibliographic Details
Main Authors: Ramón Fernando Colmenares-Quintero, Gina Paola Maestre-Gongora, Lina Judith Pacheco-Moreno, Natalia Rojas, Kim E. Stansfield, Juan Carlos Colmenares-Quintero
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Cogent Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/23311916.2021.1907970
id doaj-c095f01b935e46b2a609f8ef5fb4ce23
record_format Article
spelling doaj-c095f01b935e46b2a609f8ef5fb4ce232021-06-02T09:20:57ZengTaylor & Francis GroupCogent Engineering2331-19162021-01-018110.1080/23311916.2021.19079701907970Analysis of the energy service in non-interconnected zones of Colombia using business intelligenceRamón Fernando Colmenares-Quintero0Gina Paola Maestre-Gongora1Lina Judith Pacheco-Moreno2Natalia Rojas3Kim E. Stansfield4Juan Carlos Colmenares-Quintero5Universidad Cooperativa De ColombiaUniversidad Cooperativa De ColombiaUniversidad Cooperativa De ColombiaAquatera Ltd., Old Academy Business CentreUniversity of Warwick, ‎CoventryInstitute of Physical Chemistry of the Polish Academy of SciencesThis work aims to evaluate the provision of energy services in non-interconnected zones (NIZ) between 2018 and 2019 using open data from the Colombian government and business intelligence methodology. The analysis is approached from the ETL (Extract, Transform, Load). It focuses on the variables obtained from the National Monitoring Centre (CNM) for monitoring the operation of these zones, where there is a Telemetry System that provides monthly information on location variables, energy variables, such as active and reactive energy maximum power, maximum power per day, and hours of service delivery. We concluded that in the years, 2018–2019 energy consumption in NIZ has remained stable with a variation of 0.19%. On the other hand, the NIZ include 56% of Colombia’s states, and the energy consumption is concentrated in 6 of the 93 municipalities with 80% of national consumption. The challenges in these areas are associated not only with the quality and provision of energy services but also with the environmental challenges that mean that most of these areas obtain their energy supply from fossil fuels, being protected areas such as ecological reserves, the biosphere, or the jungle.http://dx.doi.org/10.1080/23311916.2021.1907970business intelligenceactive energyenergy consumptionoff-grid zonesenergy data analysissustainable development goals (sdg)
collection DOAJ
language English
format Article
sources DOAJ
author Ramón Fernando Colmenares-Quintero
Gina Paola Maestre-Gongora
Lina Judith Pacheco-Moreno
Natalia Rojas
Kim E. Stansfield
Juan Carlos Colmenares-Quintero
spellingShingle Ramón Fernando Colmenares-Quintero
Gina Paola Maestre-Gongora
Lina Judith Pacheco-Moreno
Natalia Rojas
Kim E. Stansfield
Juan Carlos Colmenares-Quintero
Analysis of the energy service in non-interconnected zones of Colombia using business intelligence
Cogent Engineering
business intelligence
active energy
energy consumption
off-grid zones
energy data analysis
sustainable development goals (sdg)
author_facet Ramón Fernando Colmenares-Quintero
Gina Paola Maestre-Gongora
Lina Judith Pacheco-Moreno
Natalia Rojas
Kim E. Stansfield
Juan Carlos Colmenares-Quintero
author_sort Ramón Fernando Colmenares-Quintero
title Analysis of the energy service in non-interconnected zones of Colombia using business intelligence
title_short Analysis of the energy service in non-interconnected zones of Colombia using business intelligence
title_full Analysis of the energy service in non-interconnected zones of Colombia using business intelligence
title_fullStr Analysis of the energy service in non-interconnected zones of Colombia using business intelligence
title_full_unstemmed Analysis of the energy service in non-interconnected zones of Colombia using business intelligence
title_sort analysis of the energy service in non-interconnected zones of colombia using business intelligence
publisher Taylor & Francis Group
series Cogent Engineering
issn 2331-1916
publishDate 2021-01-01
description This work aims to evaluate the provision of energy services in non-interconnected zones (NIZ) between 2018 and 2019 using open data from the Colombian government and business intelligence methodology. The analysis is approached from the ETL (Extract, Transform, Load). It focuses on the variables obtained from the National Monitoring Centre (CNM) for monitoring the operation of these zones, where there is a Telemetry System that provides monthly information on location variables, energy variables, such as active and reactive energy maximum power, maximum power per day, and hours of service delivery. We concluded that in the years, 2018–2019 energy consumption in NIZ has remained stable with a variation of 0.19%. On the other hand, the NIZ include 56% of Colombia’s states, and the energy consumption is concentrated in 6 of the 93 municipalities with 80% of national consumption. The challenges in these areas are associated not only with the quality and provision of energy services but also with the environmental challenges that mean that most of these areas obtain their energy supply from fossil fuels, being protected areas such as ecological reserves, the biosphere, or the jungle.
topic business intelligence
active energy
energy consumption
off-grid zones
energy data analysis
sustainable development goals (sdg)
url http://dx.doi.org/10.1080/23311916.2021.1907970
work_keys_str_mv AT ramonfernandocolmenaresquintero analysisoftheenergyserviceinnoninterconnectedzonesofcolombiausingbusinessintelligence
AT ginapaolamaestregongora analysisoftheenergyserviceinnoninterconnectedzonesofcolombiausingbusinessintelligence
AT linajudithpachecomoreno analysisoftheenergyserviceinnoninterconnectedzonesofcolombiausingbusinessintelligence
AT nataliarojas analysisoftheenergyserviceinnoninterconnectedzonesofcolombiausingbusinessintelligence
AT kimestansfield analysisoftheenergyserviceinnoninterconnectedzonesofcolombiausingbusinessintelligence
AT juancarloscolmenaresquintero analysisoftheenergyserviceinnoninterconnectedzonesofcolombiausingbusinessintelligence
_version_ 1721405951290900480