Provided herein are systems for carbonation curing and CO.sub.2 mineralization of concrete composites and methods of manufacturing a carbonated concrete composite. A method of manufacturing a carbonated concrete composites includes contacting concrete with CO.sub.2-containing gas streams in the carbonation reactor having a gas stream inlet and an outlet to provide optimal gas flow distribution and gas velocity. The concrete precursor includes a binder, one or more aggregates, and water. A gas stream is received at the carbonation reactor. The gas stream includes carbon dioxide. The concrete precursor is maintained at a suitable temperature in the carbonation reactor to thereby react the concrete precursor with the gas stream to produce carbonate minerals in the carbonated concrete composite.

The invention relates to a virtual sensing method and system for controlling at least one composition variable in a urea production process, based on a plurality of online measured process variables and a model, wherein the model is used to estimate, during the urea production process, the at least one composition variable indicative of a urea content on the basis of the plurality of online measured process variables, and modifying at least one of the plurality of online measured process variables for ensuring that a value of the at least one composition variable is within a predetermined range. The invention also relates to determining the model.

A data generation device generates a data set consisting of a plurality of pieces of learning data for training a neural network in which a plurality of layers are connected by a plurality of connection weights, the neural network outputting a production result corresponding to a process condition in a case where the process condition is input in a process for producing a product. At this time, assuming that a total number of the connection weights of the neural network is M0, a plurality of the process conditions of 2×M0 or more are set. In addition, a production result corresponding to each of the plurality of process conditions is acquired, which is derived by producing the product under each of the plurality of process conditions. The plurality of pieces of learning data consisting of the plurality of process conditions and the production result are generated as the data set.

A system and method for optimized industrial production using machine learning. The method includes creating a model defining dependencies among a plurality of parameters for an industrial production process, the plurality of parameters including a plurality of controlled parameters and a plurality of monitored parameters; training an agent via reinforcement learning based on iterative application of the model, wherein the agent is trained to determine new values for the plurality of controlled parameters based on current values of the plurality of monitored parameters in order to optimize the industrial production process with respect to at least one predetermined objective; and iteratively modifying, by the trained agent, current values of the plurality of controlled parameters in real-time during operation of the industrial production process.

A water injection method for a PID control-based adaptive intelligent water injection system is provided. The system includes a water injection portion, a power portion, a control portion, and a measurement and transmission portion. The water injection portion includes a hydrogenation reactor, heat exchangers, air coolers, and a separation tank. The power portion includes a motor and a water pump. The control portion includes a console and a bus. Temperature, pressure and flow velocity transmitters are additionally arranged at each of inlet and outlet pipes of various heat exchangers, and water injection points are disposed. Temperature, pressure and flow velocity signals of the inlet and outlet pipes of heat exchange devices are monitored, and the console performs error analysis on the three signals and uses a PID control algorithm to control the adjustment valve to alter the valve opening degree to adjust the water injection amount in real time.

Provided is a fuel-reforming device comprising: an ammonia tank (4); a reformer (5) for reforming ammonia and generating high-concentration hydrogen gas having a hydrogen content of at least 99%; a mixing tank (7) for mixing ammonia and hydrogen for temporary storage; and a control means (10) for controlling the respective supply amounts of ammonia and high-concentration hydrogen gas that are supplied to the mixing tank (7). The control means (10) calculates the combustion rate coefficient C of mixed gas with respect to a reference fuel on the basis of equation (1). Equation (1): S.sub.0=S.sub.H×C+S.sub.A×(1−C). In equation (1), S.sub.0 is the combustion rate of the reference fuel, S.sub.H is the combustion rate of hydrogen, S.sub.A is the combustion rate of ammonia, and C is the combustion rate coefficient of mixed gas. In addition, on the basis of equation (2), the control means (10) determines the volume fractions of ammonia and hydrogen that are supplied to the mixing tank. Equation (2): C=1−exp(−A×M.sub.B). In equation (2), M is the volume fraction of hydrogen in mixed gas, and A and B are constants.

Systems and methods associated with biomass decomposition are generally described. Certain embodiments are related to adjusting a flow rate of a fluid comprising oxygen into a reactor in which biomass is decomposed. The adjustment may be made, at least in part, based upon a measurement of a characteristic of the reactor and/or a characteristic of the biomass. Certain embodiments are related to cooling at least partially decomposed biomass. The biomass may be cooled by flowing a gas over an outlet conduit in which the biomass is cooled, and then directing the gas to a reactor after it has flowed over the outlet conduit. Certain embodiments are related to systems comprising a reactor and an outlet conduit configured such that greater than or equal to 75% of its axially projected cross-sectional area is occupied by a conveyor. Certain embodiments are related to systems comprising a reactor comprising an elongated compartment having a longitudinal axis arranged substantially vertically and an outlet conduit comprising a conveyor.

Methods and systems for performing transient processes may include: providing a path and path thresholds for an operational condition as a function of progress of a transient process based on historical data of previously performed transient processes; performing the transient process in a chemical reactor using operational parameters; measuring the operational condition of the transient process as a function of the progress of the transient process; and adjusting one or more of the operational parameters during the progress of the transient process to maintain the operational condition within the path thresholds.

Systems and methods for determining an operating condition of a chemical production plant including at least one catalytic reactor are provided. Via a communication interface operating data and a catalyst age indicator are received (10). At least one target operating parameter for the operating condition of a scheduled production run or a current production run are determined (14). The at least one target operating parameter for the operating condition may be used for monitoring and/or controlling the chemical production plant.

By this invention processes are provided for the conversion of carbohydrate to ethylene glycol by retro-aldol catalysis and sequential hydrogenation using control methods having at least one of acetol (hydroxyacetone) and a tracer as inputs.