8 results about "Energy plan" patented technology

A method (100) for operating an industrial plant (1) that is configured to execute an industrial process using a plurality of interconnected process modules or other functional units (2a-2f), wherein at least one process module or other functional unit (2a-2f) is capable of performing its assigned role in the industrial process in different modes of operation (3a-3d) that have different energy consumptions, and wherein the method (100) comprises the steps of: - obtaining (110) energy information (4) that is indicative of the availability, and / or of the cost, of energy required for the operation of at least one process module or other functional unit (2a-2f); - obtaining (120), for at least one chosen process module or other functional unit (2*, 2a-2f), a candidate mode of operation (5) that is desirable from the point of view of this process module or other functional unit (2*, 2a-2f) with respect to energy consumption; - determining (130) whether operation of the chosen process module or other functional unit (2a-2f) if this candidate mode of operation (5) is compatible with the intended operation of one or more further process modules or other functional units (2a-2f) that are connected to the chosen process module (2*, 2a-2f); and - if this is the case, authorizing (140), in an energy plan (1a) for operating the industrial plant (1), operation of the chosen process module or other functional unit (2*, 2a-2f) in the candidate mode of operation (5).

The present invention comprises: a communication unit that communicates with a host system that creates a regional energy plan; a target setting unit that sets a target value for creating balancing power for a target consumer site; a prediction unit that predicts future electric power demand; a boundary-condition-setting unit that sets a boundary condition for demand control from load facility specifications; an operation plan creation unit that creates a demand control plan for the load facilities from the target value for balancing power, the future electric power demand prediction, and the boundary condition for demand control; and an input / output unit. The regional energy plan is created or corrected by the host system on the basis of whether the demand control plan can be executed.

This invention discloses a method and apparatus for adjusting intraday household energy dispatching plans based on load correction. The steps are as follows: The day-ahead equipment operation sequence scheduling plan is input into a user-intervention-based load correction mechanism to obtain a user-modified equipment operation sequence scheduling plan; the day-ahead photovoltaic usage plan, day-ahead energy storage charging and discharging plan, day-ahead user electricity purchase plan, and the user-modified equipment operation sequence scheduling plan are input into an intraday rolling optimization model, and intraday photovoltaic usage plan, intraday energy storage charging and discharging plan, and intraday user electricity purchase plan are obtained after rolling optimization. The load correction mechanism parses user instructions and updates equipment operation plans and corrects power curves; the intraday rolling optimization model uses a multi-objective particle swarm optimization algorithm to solve the rolling optimization logic. This invention effectively solves the problem of mismatch between dispatching plans and actual operating conditions, significantly improving the practicality, rationality, and stability of household energy dispatching.

The invention discloses a multivariate energy storage scheduling method and equipment considering an equivalent peak-valley difference, and belongs to the technical field of power system operation and control. A microgrid net load time sequence is obtained, a scale coefficient is constructed based on the ratio of the rated power of a rapid energy storage unit to the historical peak net load, and a target quantile is determined through a piecewise linear function; an equivalent peak-valley difference is defined, and a peak, valley and climbing section criterion is given; on the basis, a rapid energy storage unit and an energy type energy storage unit are distinguished, the rule of first rapid and then slow and first power and then energy is adopted, peak clipping is preferentially carried out in a peak section, charging is preferentially carried out in a valley section, and the power change rate is limited in a climbing section. The power and energy plan of each energy storage unit is generated hour by hour in combination with constraints such as power upper limit, energy state, round-trip efficiency and charge and discharge mutual exclusion, statistical peak load shifting and climbing suppression without complex optimization modeling is realized, and the engineering applicability of multi-element energy storage cooperative operation is improved.

The invention relates to the technical field of industrial process control, in particular to a crust breaking and blanking control method and system based on intelligent diagnosis. The method comprises the following steps: intelligently evaluating the state of an electrolytic cell shell by collecting multi-mode historical and real-time data on line, and generating a safe and controllable crust breaking operation plan; accurate identification of the fire hole break-through state is realized through low-energy microprobe tentative and multi-mode signal fusion judgment; constructing a layered energy plan matrix according to a judgment result, executing self-adaptive crust breaking in a monopulse closed-loop regulation and control mode, monitoring adhesion and abnormal risks in real time in the process, and triggering anti-adhesion and safety protection measures; and in a blanking link, a blanking safety closed loop is realized through a multi-channel quality monitoring and exception isolation mechanism, and full-process data is archived for model optimization and strategy updating. According to the invention, a complete intelligent control system from intelligent diagnosis and adaptive execution to safe closed loop and continuous learning is formed.

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.

The present application relates to the technical field of smart home, and discloses a water heater control method, device and equipment based on home energy and a storage medium, comprising: obtaining historical power data of a target family in a first time period, weather data in the first time period and weather prediction data for the next day; calculating the hourly residual power of each hour in the first time period based on the historical power data in the first time period; calculating the hourly predicted residual power for the next day; calculating the predicted power maximum value, determining the predicted power maximum time period corresponding to the predicted power maximum value; calculating the maximum water heating power required by the water heater of the target family, and determining whether to execute an energy plan based on the maximum water heating power required and the predicted power maximum value; and when it is determined to execute the energy plan, controlling the water heater to heat water in the predicted power maximum time period, thereby avoiding additional power purchase, further saving energy and power purchase cost, and reducing the use cost of the smart home.

A method is provided for determining a supply status of a fuel supply system for delivering fuel to a power generator. The method includes generating an energy plan for the power generator based at least in part on a supply status of fuel in the fuel supply system, and selectively adjusting an operating parameter of the fuel supply system based at least in part on the energy plan is disclosed. The power generator and the fuel supply system can store a cryogenic fuel and to handle gasified fuel obtained therefrom. A method and a system for a vehicle having a power generator and a fuel supply system are also disclosed.