Abstract: (EN) The invention relates to a method for estimating the characteristic parameters of a cryogenic tank (1), in particular geometric parameters, including: a step comprising the measurement of the pressure differential between the upper and lower parts of the tank prior to filling DPmes—before; a step comprising the measurement of the pressure differential between the upper and lower parts of the tank after filling DPmes—after; a step comprising the determination of the mass of liquid delivered (mdelivered) during filling; and a step comprising the calculation of a first geometric parameter (R) of the tank, namely the radius (R) which is calculated from equation (I), wherein g is the Earth's gravitational acceleration and MAVO is a density coefficient that is a function of the density of the liquid and the gas in the tank and optionally in the pressure measuring pipes (11) when the pressure differential is measured by at least one remote pressure sensor connected to the upper and lower parts of the tank via r

Abstract: The invention relates to a method for the real-time determination of the filling level of a cryogenic tank intended to house a two-phase liquid/gas mixture, in which at least one of the the level, volume or mass contained in the tank is calculated for the liquid or the gas at each time step. The method includes the use of a thermal model at each time step to calculate the average temperatures of the liquid and the gas in the tank on the basis of the measured pressure differential and at least one of the pressures of said differential; calculation of the change over time in at least the density of the liquid on the basis of the average temperature of the liquid and the pressures in the tank.

Abstract: Methods of production planning, including a novel method of optimized production planning for a plurality of production plants producing a product for delivery to a plurality of customers using a common distribution network, wherein the product consumption by customers can vary, and the variable cost of producing the product can vary between production plants, over time, and production quantity. The method maximizes profitability by characterizing raw material costs over varying production rates and minimizing variable cost across the network for any given production demand. The method considers the variable cost of producing product in varying production quantities, the variable cost structure of raw material supplies, and how these variable costs vary between production plants. The method also considers the variable cost impact of purchasing product from outside sources.

Abstract: (EN) The invention relates to a method for estimating the characteristic parameters of a cryogenic tank (1), in particular geometric parameters, including: a step comprising the measurement of the pressure differential between the upper and lower parts of the tank prior to filling DPmes—before; a step comprising the measurement of the pressure differential between the upper and lower parts of the tank after filling DPmes—after; a step comprising the determination of the mass of liquid delivered (mdelivered) during filling; and a step comprising the calculation of a first geometric parameter (R) of the tank, namely the radius (R) which is calculated from equation (I), wherein g is the Earth's gravitational acceleration and MAVO is a density coefficient that is a function of the density of the liquid and the gas in the tank and optionally in the pressure measuring pipes (11) when the pressure differential is measured by at least one remote pressure sensor connected to the upper and lower parts of the tank via r

Abstract: Methods of production planning, including a novel method of optimized production planning for a plurality of production plants producing a product for delivery to a plurality of customers using a common distribution network, wherein the product consumption by customers can vary, and the variable cost of producing the product can vary between production plants, over time, and production quantity. The method maximizes profitability by characterizing raw material costs over varying production rates and minimizing variable cost across the network for any given production demand. The method considers the variable cost of producing product in varying production quantities, the variable cost structure of raw material supplies, and how these variable costs vary between production plants. The method also considers the variable cost impact of purchasing product from outside sources.