F22B35/18

ABNORMALITY DETECTION DEVICE AND ABNORMALITY DETECTION METHOD
20230204205 · 2023-06-29 · ·

Provided is an abnormality detection device, including: a data acquisition unit configured to acquire operation data of one or a plurality of extraction devices configured to extract water from a water circulation system in a boiler to an outside of the circulation system, and acquire an actually measured value of a makeup water amount supplied to the circulation system; a prediction unit configured to derive a predicted value of the makeup water amount based on the operation data acquired by the data acquisition unit; and a comparison unit configured to compare the actually measured value of the makeup water amount, which is acquired by the data acquisition unit, and the predicted value of the makeup water amount, which is derived by the prediction unit, with each other.

ABNORMALITY DETECTION DEVICE AND ABNORMALITY DETECTION METHOD
20230204205 · 2023-06-29 · ·

Provided is an abnormality detection device, including: a data acquisition unit configured to acquire operation data of one or a plurality of extraction devices configured to extract water from a water circulation system in a boiler to an outside of the circulation system, and acquire an actually measured value of a makeup water amount supplied to the circulation system; a prediction unit configured to derive a predicted value of the makeup water amount based on the operation data acquired by the data acquisition unit; and a comparison unit configured to compare the actually measured value of the makeup water amount, which is acquired by the data acquisition unit, and the predicted value of the makeup water amount, which is derived by the prediction unit, with each other.

Method and apparatus for evaluating repair and remediation alternatives for heat exchangers

A method is provided for evaluating simultaneously the effects of multiple, interdependent heat-exchanger degradation modes for a heat exchanger of a power plant in the context of a series of alternative heat-exchanger remediation strategies. The method includes calculating time-varying predicted future progressions of heat exchanger performance metrics for a plurality of alternative heat-exchanger remediation strategies, and calculating time-varying predicted future progressions of financial metrics describing the accumulated financial benefit of each of the strategies. The calculations may be provided in probabilistic terms. A strategy may then be chosen based, at least in part, on the calculated results.

Method and apparatus for evaluating repair and remediation alternatives for heat exchangers

A method is provided for evaluating simultaneously the effects of multiple, interdependent heat-exchanger degradation modes for a heat exchanger of a power plant in the context of a series of alternative heat-exchanger remediation strategies. The method includes calculating time-varying predicted future progressions of heat exchanger performance metrics for a plurality of alternative heat-exchanger remediation strategies, and calculating time-varying predicted future progressions of financial metrics describing the accumulated financial benefit of each of the strategies. The calculations may be provided in probabilistic terms. A strategy may then be chosen based, at least in part, on the calculated results.

Systems and methods for predicting tube fouling in a fired apparatus, and for utilizing tube fouling predictions
11668536 · 2023-06-06 · ·

The following provides a system and method to predict an indicator of tube fouling in a fired apparatus such as a boiler. Historical data can be collected when the tubing is still considered to be clean, and used to build a first model between an indicator of fouling, such as tube skin temperature, and boiler load. The actual measurement of that indicator of fouling can then be compared against the model output, such that the error between the model and measurement is considered an indication of the tube fouling. Moreover, the rate of change of the model error can be used to measure the fouling rate. Next, historical data on the fluid feed quality can be collected and together with the historical error rate change data can be combined to develop a second model. This second model reflects how fluid feed quality variables may affect the fouling rate over time.

Systems and methods for predicting tube fouling in a fired apparatus, and for utilizing tube fouling predictions
11668536 · 2023-06-06 · ·

The following provides a system and method to predict an indicator of tube fouling in a fired apparatus such as a boiler. Historical data can be collected when the tubing is still considered to be clean, and used to build a first model between an indicator of fouling, such as tube skin temperature, and boiler load. The actual measurement of that indicator of fouling can then be compared against the model output, such that the error between the model and measurement is considered an indication of the tube fouling. Moreover, the rate of change of the model error can be used to measure the fouling rate. Next, historical data on the fluid feed quality can be collected and together with the historical error rate change data can be combined to develop a second model. This second model reflects how fluid feed quality variables may affect the fouling rate over time.

MODULAR MOBILE HEAT GENERATION UNIT FOR GENERATION OF GEOTHERMAL POWER IN ORGANIC RANKINE CYCLE OPERATIONS

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.

On-demand vapor generator and control system

The disclosed apparatus and control system produces a single, on demand, energetic gaseous working fluid from any heat source. Working fluid in a liquid phase is released into a heat exchange tube in the form of very fine droplets or atomized mist, where it is rapidly heated to its gaseous phase. The gaseous working fluid can continue to absorb heat before exiting the heat exchange tube to perform work. The disclosed system controls the release of working fluid into the heat exchange tube and/or the heat energy to which the tube is exposed, resulting in a flow of energetic gaseous working fluid that can be quickly adjusted in response to changing conditions without a large pressure vessel.

On-demand vapor generator and control system

The disclosed apparatus and control system produces a single, on demand, energetic gaseous working fluid from any heat source. Working fluid in a liquid phase is released into a heat exchange tube in the form of very fine droplets or atomized mist, where it is rapidly heated to its gaseous phase. The gaseous working fluid can continue to absorb heat before exiting the heat exchange tube to perform work. The disclosed system controls the release of working fluid into the heat exchange tube and/or the heat energy to which the tube is exposed, resulting in a flow of energetic gaseous working fluid that can be quickly adjusted in response to changing conditions without a large pressure vessel.

System and method for optimizing combustion of boiler

A system for controlling a boiler apparatus in a power plant to combust under optimized conditions, and a method for optimizing combustion of the boiler apparatus using the same are provided. The boiler control system may include a modeler configured to create a boiler combustion model, an optimizer configured to receive the boiler combustion model from the modeler and perform the combustion optimization operation for the boiler using the boiler combustion model to calculate an optimum control value, and an output controller configured to receive the optimum control value from the optimizer, and control an operation of the boiler by reflecting the optimum control value to a boiler control logic.