2019
DOI: 10.3390/en12203869
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Merit Order Effect Modeling: The Case of the Hellenic Electricity Market

Abstract: A simple effective model is proposed for the day-ahead electricity market. The model considers the main factors which govern the process, predicts the seasonal and daily variation of electricity demand, renewable production, system marginal price, and merit order effect. The accuracy of the model is increased by fitting to historic data of the Hellenic electricity market. During the period between October 2016 and December 2018, the Hellenic electricity market calculated explicitly the merit order effect using… Show more

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Cited by 12 publications
(20 citation statements)
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“…The fundamental merit order model is utilized on the Greek wholesale electricity market in a study finalized in 2019. The results of the study are used to inform the policy makers in the formation of more effective policies into the future [56].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The fundamental merit order model is utilized on the Greek wholesale electricity market in a study finalized in 2019. The results of the study are used to inform the policy makers in the formation of more effective policies into the future [56].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The integration of renewables creates economic benefits for consumers when they participate in the day-ahead electricity market. This effect, described in [28][29][30][31], is known as the merit-order effect, and it constitutes a decrease in energy prices when renewables offer their energy at a very low price in a day-ahead electricity market. This work seeks to estimate the impact that offshore energy would have on the day-ahead Iberian electricity market.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, VRE output affects MP during the day in both quantity and distribution form. This circumstance is called the "merit-order effect" (MOE) [4][5][6][7][8][9][10][11][12][13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%