An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market
CO2 emissions play a crucial role in international politics. Countries enter into agreements to reduce the amount of pollution emitted into the atmosphere. Energy generation is one of the main contributors to pollution and is generally considered the main cause of climate change. Despite the interes...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-02-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024018693 |
| _version_ | 1797304416585383936 |
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| author | José María Luna-Romera Manuel Carranza-García Ángel Arcos-Vargas José C. Riquelme-Santos |
| author_facet | José María Luna-Romera Manuel Carranza-García Ángel Arcos-Vargas José C. Riquelme-Santos |
| author_sort | José María Luna-Romera |
| collection | DOAJ |
| description | CO2 emissions play a crucial role in international politics. Countries enter into agreements to reduce the amount of pollution emitted into the atmosphere. Energy generation is one of the main contributors to pollution and is generally considered the main cause of climate change. Despite the interest in reducing CO2 emissions, few studies have focused on investigating energy pricing technologies. This article analyzes the technologies used to meet the demand for electricity from 2016 to 2021. The analysis is based on data provided by the Spanish Electricity System regulator, using statistical and clustering techniques. The objective is to establish the relationship between the level of pollution of electricity generation technologies and the hourly price and demand. Overall, the results suggest that there are two distinct periods with respect to the technologies used in the studied years, with a trend toward the use of cleaner technologies and a decrease in power generation using fossil fuels. It is also surprising that in the years 2016 to 2018, the most polluting technologies offered the cheapest prices. |
| first_indexed | 2024-03-08T00:09:15Z |
| format | Article |
| id | doaj.art-8130ee3e71a84c6793067f1a5eb926ec |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-08T00:09:15Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-8130ee3e71a84c6793067f1a5eb926ec2024-02-17T06:41:45ZengElsevierHeliyon2405-84402024-02-01103e25838An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity marketJosé María Luna-Romera0Manuel Carranza-García1Ángel Arcos-Vargas2José C. Riquelme-Santos3Department of Computer Languages and Systems, ETSII, University of Seville, Seville, 41012, Spain; Corresponding author.Department of Computer Languages and Systems, ETSII, University of Seville, Seville, 41012, SpainDepartment of Industrial Organization and Business Management I, ETSI, University of Seville, Seville, 41092, SpainDepartment of Computer Languages and Systems, ETSII, University of Seville, Seville, 41012, SpainCO2 emissions play a crucial role in international politics. Countries enter into agreements to reduce the amount of pollution emitted into the atmosphere. Energy generation is one of the main contributors to pollution and is generally considered the main cause of climate change. Despite the interest in reducing CO2 emissions, few studies have focused on investigating energy pricing technologies. This article analyzes the technologies used to meet the demand for electricity from 2016 to 2021. The analysis is based on data provided by the Spanish Electricity System regulator, using statistical and clustering techniques. The objective is to establish the relationship between the level of pollution of electricity generation technologies and the hourly price and demand. Overall, the results suggest that there are two distinct periods with respect to the technologies used in the studied years, with a trend toward the use of cleaner technologies and a decrease in power generation using fossil fuels. It is also surprising that in the years 2016 to 2018, the most polluting technologies offered the cheapest prices.http://www.sciencedirect.com/science/article/pii/S2405844024018693Energy generationCO2 emissionsClusteringMachine learning |
| spellingShingle | José María Luna-Romera Manuel Carranza-García Ángel Arcos-Vargas José C. Riquelme-Santos An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market Heliyon Energy generation CO2 emissions Clustering Machine learning |
| title | An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market |
| title_full | An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market |
| title_fullStr | An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market |
| title_full_unstemmed | An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market |
| title_short | An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market |
| title_sort | empirical analysis of the relationship among price demand and co2 emissions in the spanish electricity market |
| topic | Energy generation CO2 emissions Clustering Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024018693 |
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