Mines ParisTech

About: Mines ParisTech is a education organization based out in Paris, France. It is known for research contribution in the topics: Finite element method & Microstructure. The organization has 6564 authors who have published 11676 publications receiving 359898 citations. The organization is also known as: École nationale supérieure des mines de Paris & École des mines de Paris.

Towards Improved Understanding of the Applicability of Uncertainty Forecasts in the Electric Power Industry

Abstract: Around the world wind energy is starting to become a major energy provider in electricity markets, as well as participating in ancillary services markets to help maintain grid stability. The reliability of system operations and smooth integration of wind energy into electricity markets has been strongly supported by years of improvement in weather and wind power forecasting systems. Deterministic forecasts are still predominant in utility practice although truly optimal decisions and risk hedging are only possible with the adoption of uncertainty forecasts. One of the main barriers for the industrial adoption of uncertainty forecasts is the lack of understanding of its information content (e.g., its physical and statistical modeling) and standardization of uncertainty forecast products, which frequently leads to mistrust towards uncertainty forecasts and their applicability in practice. This paper aims at improving this understanding by establishing a common terminology and reviewing the methods to determine, estimate, and communicate the uncertainty in weather and wind power forecasts. This conceptual analysis of the state of the art highlights that: (i) end-users should start to look at the forecast’s properties in order to map different uncertainty representations to specific wind energy-related user requirements; (ii) a multidisciplinary team is required to foster the integration of stochastic methods in the industry sector. A set of recommendations for standardization and improved training of operators are provided along with examples of best practices

Phase Equilibria of Methane Hydrates in the Presence of Methanol and/or Ethylene Glycol Aqueous Solutions

Abstract: In this communication, experimental dissociation data for methane hydrates in the presence of 0.042 mass fraction methanol aqueous solution and/or 0.069 mass fraction ethylene glycol aqueous solution are first reported. The experimental data were generated using an isochoric pressure-search method. The experimental dissociation data for methane hydrates in the presence of 0.042 mass fraction methanol aqueous solution or 0.069 mass fraction ethylene glycol aqueous solution are successfully compared with the predictions of a thermodynamic model to demonstrate its reliability for low concentrations of methanol or ethylene glycol in aqueous solution. The model predictions are then compared with the experimental data for the methanol + ethylene glycol aqueous solution system to study its reliability. We finally report experimental dissociation data for methane hydrates in the presence of 0.1, 0.2, 0.35, and 0.5 mass fraction methanol or ethylene glycol aqueous solutions with the aim of studying the reliability of corresponding experimental data reported in the literature and the predictions of the thermodynamic model.