Comparison of the influence of biomass, solar–thermal and small hydraulic power on the Spanish electricity prices by means of artificial intelligence techniques

Azofra, D.; Martínez, E.; Jiménez, E.; Blanco‐Fernández, Julio; Sáenz-Díez, J.C.

doi:10.1016/j.apenergy.2014.01.064

Cited by 20 publications

(5 citation statements)

References 32 publications

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“…In fact, an increase in hydro generation tended to decrease electricity prices, which was indicated by a negative daily correlation. These conclusions are coherent with those of other studies in the literature which addressed the same topic [37][38][39].…”

Section: Correlation Analysissupporting

confidence: 92%

Influence of Increasing Renewable Power Penetration on the Long-Term Iberian Electricity Market Prices

2023

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In recent years, there has been a significant increase in investment in renewable energy sources, leading to the decarbonization of the electricity sector. Accordingly, a key concern is the influence of this process on future electricity market prices, which are expected to decrease with the increasing generation of renewable power. This is important for both current and future investors, as it can affect profitability. To address these concerns, a long-term analysis is proposed here to examine the influence of the future electricity mix on Iberian electricity prices in 2030. In this study, we employed artificial intelligence forecasting models that incorporated the main electricity price-driven components of MIBEL, providing accurate predictions for the real operation of the market. These can be extrapolated into the future to predict electricity prices in a scenario with high renewable power penetration. The results, obtained considering a framework featuring an increase in the penetration of renewables into MIBEL of up to 80% in 2030, showed that electricity prices are expected to decrease by around 50% in 2030 when compared to 2019, and there will be a new pattern of electricity prices throughout the year due to the uneven distribution of renewable electricity. The study’s findings are relevant for ongoing research on the unique challenges of energy markets with high levels of renewable generation.

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Section: Correlation Analysissupporting

confidence: 92%

Influence of Increasing Renewable Power Penetration on the Long-Term Iberian Electricity Market Prices

2023

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“…Gelabert et al [14] determine that an increase of 1 GW h of electricity generated under the special regime causes a drop of nearly €2/MW h in the price of electricity. Finally, regarding the Spanish case, Azofra et al [15] compare the influence of other renewable energy sources (in concrete biomass, solarthermal and small hydraulic) on the Spanish electricity prices.…”

Section: Feed-in-tariff Effectsmentioning

confidence: 99%

Comparison of the influence of photovoltaic and wind power on the Spanish electricity prices by means of artificial intelligence techinques

Azofra

Martínez

Jiménez

et al. 2015

Renewable and Sustainable Energy Reviews

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“…Once the scenarios have been defined, it is necessary to generate a model that simulates the matching of the price of energy, thus determining the inversely proportional relationship between the % of integration of renewables in the Pool and the price of the resulting energy [2][3][4][5][6].…”

Section: Simulation Modelmentioning

confidence: 99%

A Simulation-based Analysis of the Influence of Renewables on the Spanish Electricity Prices

Azofra¹,

Macías²,

Cámara³

et al. 2018

SNE

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Spain is at the forefront of renewable energy worldwide with a great integration level in its generation mix. This has put Spain in the situation that other countries that support renewable energy will be in a short-medium term. However active measures to support renewable energy have been losing strength in recent times seeking to reduce the deficit. On the one hand, the bonus for each technology is different and, on the other hand, their integration level in the mix, and thus its influence on the Pool, is uneven. This work aims to provide information and conclusions about the actual economic impact of each renewable technology on the pool and the electricity tariff for the Spanish case. For doing so, simulation and artificial intelligence techniques are applied in order to model the energy pool and simulate the electricity prices in five fictitious scenarios that suppress out of the generation mix, respectively, wind, photovoltaic, biomass, small hydraulic, and solar thermal. This way, based on the simulation, and ex-post analysis can be developed in order to obtain conclusions and knowledge, useful for other countries as well as for future decision making in the Spanish power system.

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Comparison of the influence of biomass, solar–thermal and small hydraulic power on the Spanish electricity prices by means of artificial intelligence techniques

Cited by 20 publications

References 32 publications

Influence of Increasing Renewable Power Penetration on the Long-Term Iberian Electricity Market Prices

Influence of Increasing Renewable Power Penetration on the Long-Term Iberian Electricity Market Prices

Comparison of the influence of photovoltaic and wind power on the Spanish electricity prices by means of artificial intelligence techinques

A Simulation-based Analysis of the Influence of Renewables on the Spanish Electricity Prices

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