2 results about "Energy pricing" patented technology

A computer implementation method for operation optimization of an industrial plant (500) is proposed, the industrial plant (500) including at least one hydrogen producer (510) and at least one hydrogen consumer (520), the industrial plant (500) being coupled to at least one electrical energy source (600). The method includes: receiving, at a computing system (100) values ​​of operating parameters of an industrial plant (500), the operating parameters including at least: hydrogen production of at least one hydrogen producer (510), hydrogen consumption of at least one hydrogen consumer (520), energy production of the industrial plant (500), energy consumption of the industrial plant (500), energy availability via at least one energy source (600), and energy pricing; calculating a predicted time series of the values ​​and / or boundaries of the operating parameters of the industrial plant (500); and, by means of an optimization module (124) of the computing system (100), determining one or more optimal operating setpoints for optimizing the operation control of the industrial plant (500) in at least one aspect of energy consumption and operating costs, based on the received values ​​of the operating parameters and the calculated predicted time series of the values ​​and / or boundaries of the operating parameters of the industrial plant (500), wherein the one or more optimal operating setpoints are determined based on at least one degree of freedom of the industrial plant (500).

A smart energy platform for controlling energy consumption at a property, the smart energy platform configured to: (i) receive an input from a user associated with the property indicating a maximum comfort temperature and a minimum comfort temperature of the property; (ii) receive property data; (iii) retrieve weather data; (iv) determine property usage; (v) receive energy pricing data from an energy company; (vi) build a model based upon the input from the user, the property data, the weather data, and the property usage; (vii) input the energy pricing data and the weather data into the model; (viii) output an energy schedule for the property to maintain a temperature of the property within the maximum comfort temperature and the minimum comfort temperature at a minimum cost to the user; and / or (ix) control the temperature of the property based upon the energy schedule for the property.