Short-Scale Stochastic Solar Energy Models: A Datacenter Use Case

Sara Alouf and Alain Jean-Marie
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Sara Alouf: Inria, Université Côte d’Azur, 06902 Sophia Antipolis, France
Alain Jean-Marie: Inria, LIRMM, University Montpellier, CNRS, 34095 Montpellier, France

Mathematics, 2020, vol. 8, issue 12, 1-26

Abstract: Modeling the amount of solar energy received by a photovoltaic panel is an essential part of green IT research. The specific motivation of this work is the management of the energy consumption of large datacenters. We propose a new stochastic model for the solar irradiance that features minute-scale variations and is therefore suitable for short-term control of performances. Departing from previous models, we use a weather-oriented classification of days obtained from past observations to parameterize the solar source. We demonstrate through extensive simulations, using real workloads, that our model outperforms the existing ones in predicting performance metrics related to energy storage.

Keywords: solar energy; stochastic modeling; performance evaluation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
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