In some aspects, a computer-implemented method of reducing a rate of fouling in a recovery boiler system is provided. A computing device receives boiler operating information for a period of time. The boiler operating information includes boiler operating parameters and a rate of fouling for the period of time. The boiler operating parameters include one or more boiler input parameters. The computing device performs a regression analysis to determine at least one correlation between the boiler operating parameters and the rate of fouling. The computing device causes at least one boiler input parameter to be adjusted based on the at least one correlation to minimize the rate of fouling. In some aspects, a system configured to perform such a method is provided. In some aspects, a computer-readable medium having instructions stored thereon that cause a computing device to perform such a method is provided.

In some aspects, a computer-implemented method of reducing a rate of fouling in a recovery boiler system is provided. A computing device receives boiler operating information for a period of time. The boiler operating information includes boiler operating parameters and a rate of fouling for the period of time. The boiler operating parameters include one or more boiler input parameters. The computing device performs a regression analysis to determine at least one correlation between the boiler operating parameters and the rate of fouling. The computing device causes at least one boiler input parameter to be adjusted based on the at least one correlation to minimize the rate of fouling. In some aspects, a system configured to perform such a method is provided. In some aspects, a computer-readable medium having instructions stored thereon that cause a computing device to perform such a method is provided.

A method for building a temperature prediction model is applicable to a heat cycle system, wherein the method is used to measure a temperature of the heat cycle system to generate a measured temperature data, and compute a response time of the heat cycle system, and the method includes aligning the measured temperature data and a setting value of the heat cycle system to generate a training data according to the response time; and building the temperature prediction model according to a statistic model and the training data.

A method for building a temperature prediction model is applicable to a heat cycle system, wherein the method is used to measure a temperature of the heat cycle system to generate a measured temperature data, and compute a response time of the heat cycle system, and the method includes aligning the measured temperature data and a setting value of the heat cycle system to generate a training data according to the response time; and building the temperature prediction model according to a statistic model and the training data.

An apparatus for managing combustion optimization is provided. The apparatus for managing combustion optimization includes a data collector configured to collect real-time data that is measured in real time from a boiler system including a boiler and a combustion controller configured to control combustion of the boiler, a management configured to determine whether to perform combustion optimization of the boiler based on the real-time data, and an executor configured to generate a control command and transmit the control command to the combustion controller to perform the combustion optimization of the boiler in response to determining that the combustion optimization of the boiler is possible.

An apparatus for managing combustion optimization is provided. The apparatus for managing combustion optimization includes a data collector configured to collect real-time data that is measured in real time from a boiler system including a boiler and a combustion controller configured to control combustion of the boiler, a management configured to determine whether to perform combustion optimization of the boiler based on the real-time data, and an executor configured to generate a control command and transmit the control command to the combustion controller to perform the combustion optimization of the boiler in response to determining that the combustion optimization of the boiler is possible.

This invention relates, but is not limited to, a method, a device, a computer program product and/or apparatus for performing diagnostics or fault determination of the operation of a boiler. The invention determines the fault status of the boiler by determining cold flow events in the time series output temperature data of the boiler and using the electrical energy data of the boiler in a time window of the cold flow event to determine the fault status based on a model. The invention further comprises a method of obtaining the model.

Systems and methods for generating electrical power in an organic Rankine cycle (ORC) operation include one or more heat exchangers incorporated into mobile heat generation units, and which will receive a heated fluid flow from one or more heat sources, and transfer heat therefrom to a working fluid that is circulated through an ORC unit for generation of power. In embodiments, the mobile heat generation units comprise pre-packaged modules with one or more heat exchangers connected to a pump of a recirculation system, including an array of piping, such that each mobile heat generation unit can be transported to the site and installed as a substantially stand-alone module or heat generation assembly.

The disclosed technology includes a controller configured to control an output of one or more boilers to reduce temperature overshoot of the boiler system. The controller can receive temperature data, a threshold temperature value, and a maximum temperature value, and determine whether the temperature of the water in the boiler system is greater than or equal to a threshold temperature. The controller can also determine a number of operating boilers that were operating when the threshold temperature was reached and determine a temperature increment value based on the threshold temperature, the maximum temperature, and the number of operating boilers. The controller can output a control signal to a boiler to reduce an output of the boiler based on the temperature increment value and the temperature data to reduce overshoot of the boiler system.

The disclosed technology includes a controller configured to control an output of one or more boilers to reduce temperature overshoot of the boiler system. The controller can receive temperature data, a threshold temperature value, and a maximum temperature value, and determine whether the temperature of the water in the boiler system is greater than or equal to a threshold temperature. The controller can also determine a number of operating boilers that were operating when the threshold temperature was reached and determine a temperature increment value based on the threshold temperature, the maximum temperature, and the number of operating boilers. The controller can output a control signal to a boiler to reduce an output of the boiler based on the temperature increment value and the temperature data to reduce overshoot of the boiler system.