Abstract: Disclosed in this specification are a protein-based foaming agent, its preparation method and application, and belong to the technical field of food additives. The foaming agent comprises raw materials of alpha-lactalbumin (?-La) and glycyrrhizic acid (GA), where a molar concentration ratio of ?-La to GA in the protein-based foaming agent is 1 : (2.5-750); the foaming agent is prepared as follows: preparing ?-La solution, adjusting pH, and then adding GA for reaction to obtain the protein-based foaming agent. In some embodiments of this specification, the ?-La undergoes changes in terms secondary and tertiary structures by adjusting the pH of ?-La solution, which promotes the development of protein molecules and increases the possibility of binding ?-La with micromolecule surfactants; after ?-La is bound with GA, the foaming ability and foam stability are greatly improved.

Abstract: The present disclosure provides ACE inhibitory peptide composition derived from ginkgo protein and preparation method and application thereof, belonging to the technical field of food and medicine. The ACE inhibitory peptide composition derived from ginkgo protein mainly consists of six small molecular peptides with amino acid sequences of GFDGR (SEQ ID NO. 1), NDPGR (SEQ ID NO. 2), LDQTYRP (SEQ ID NO. 3), REHETIIL (SEQ ID NO. 4), LRMPGPPSDDY (SEQ ID NO. 5) and LRMPGPPSDDYER (SEQ ID NO. 6). The specific preparation process includes preparation of ginkgo protein, hydrolysis of ginkgo protein, enzymolysis and hydrolysis of ginkgo protein to obtain crude ACE inhibitory peptide, and separation and purification of ACE inhibitory peptide composition derived from ginkgo protein.

Abstract: The present disclosure provides ACE inhibitory peptide composition derived from ginkgo protein and preparation method and application thereof, belonging to the technical field of food and medicine. The ACE inhibitory peptide composition derived from ginkgo protein mainly consists of six small molecular peptides with amino acid sequences of GFDGR (SEQ ID NO. 1), NDPGR (SEQ ID NO. 2), LDQTYRP (SEQ ID NO. 3), REHETIIL (SEQ ID NO. 4), LRMPGPPSSDDY (SEQ ID NO. 5) and LRMPGPPSDDYER (SEQ ID NO. 6). The specific preparation process includes preparation of ginkgo protein, hydrolysis of ginkgo protein, enzymolysis and hydrolysis of ginkgo protein to obtain crude ACE inhibitory peptide, and separation and purification of ACE inhibitory peptide composition derived from ginkgo protein.

Abstract: The present disclosure provides use of a Chaetomium globosum strain in controlling Fusarium crown rot (FCR) of wheat. The C. globosum strain under the deposit designation of 12XP1-2-3 is deposited at China General Microbiological Culture Collection Center (CGMCC) on Jan. 23, 2019 with an accession number of CGMCC No. 17183. Field experiments conclude that coating of wheat seeds with Chaetomium globosum strain 12XP1-2-3 can reduce diseased stem rate, disease rating, and disease index by 19.0%-41.3%, 43.7%, and 4.7%-45.4%, respectively.

Abstract: A method of calibrating an additive manufacturing machine includes obtaining a model for the additive manufacturing machine, obtaining a baseline sensor data set for a particular additive manufacturing machine, creating a machine-specific nominal fingerprint for the particular additive manufacturing machine with controllable variation for one or more process inputs, producing on the particular additive manufacturing machine a test-page based object, obtaining a current sensor data set of the test-page based object on the particular additive manufacturing machine, estimating a scaling factor or a bias for each of the one or more process inputs from the current data set, and updating a calibration file for the particular additive machine if the estimated scaling error or bias are greater than a respective predetermined tolerance. A system for implementing the method and a non-transitory computer-readable medium are also disclosed.

Abstract: A method of calibrating an additive manufacturing machine includes obtaining a model for the additive manufacturing machine, obtaining a baseline sensor data set for a particular additive manufacturing machine, creating a machine-specific nominal fingerprint for the particular additive manufacturing machine with controllable variation for one or more process inputs, producing on the particular additive manufacturing machine a test-page based object, obtaining a current sensor data set of the test-page based object on the particular additive manufacturing machine, estimating a scaling factor or a bias for each of the one or more process inputs from the current data set, and updating a calibration file for the particular additive machine if the estimated scaling error or bias are greater than a respective predetermined tolerance. A system for implementing the method and a non-transitory computer-readable medium are also disclosed.

Abstract: A dispatch optimization system leverages ambient and market forecast data as well as asset performance and parts-life models to generate recommended operating schedules for gas turbines or other power-generating plant assets that substantially maximize profit while satisfying parts-life constraints. The system generates operating profiles that balance optimal peak fire opportunities with optimal cold part-load opportunities within a maintenance interval or other operating horizon. During real-time operation of the assets, the optimization system can update the operating schedule based on actual market, ambient, and operating data. The system provides information that can assist operators in determining suitable conditions in which to cold part-load or peak-fire the assets in an optimally profitable manner without violating target life constraints.

Abstract: A method of operating a waste water treatment plant (WWTP) having at least one of an aerobic digester (AD) and a membrane bioreactor (MBR) is described. The method of operating AD is comprised of monitoring and controlling AD in real-time using an online extended Kalman filter (EKF) having a online dynamic model of AD. The EKF uses real-time AD measured data, and online dynamic model of AD to update adapted model parameters and estimate model based inferred variables for AD, which are used for AD control by AD control system having supervisory and low-level control layers. The method of operating MBR is similar to that of AD. The supervisory control ensures the WWTP satisfying the effluent quality requirement while minimize the operation cost. A WWTP having at least one of an AD or MBR is disclosed. The method of operating a WWTP can be implemented using a computer.

Abstract: A dispatch optimization system leverages ambient and market forecast data as well as asset performance and parts-life models to generate recommended operating schedules for gas turbines or other power-generating plant assets that substantially maximize profit while satisfying parts-life constraints. The system generates operating profiles that balance optimal peak fire opportunities with optimal cold part-load opportunities within a maintenance interval or other operating horizon. During real-time operation of the assets, the optimization system can update the operating schedule based on actual market, ambient, and operating data. The system provides information that can assist operators in determining suitable conditions in which to cold part-load or peak-fire the assets in an optimally profitable manner without violating target life constraints.

Abstract: A method of operating a waste water treatment plant (WWTP) having at least one of an aerobic digester (AD) and a membrane bioreactor (MBR) is described. The method of operating AD is comprised of monitoring and controlling AD in real-time using an online extended Kalman filter (EKF) having a online dynamic model of AD. The EKF uses real-time AD measured data, and online dynamic model of AD to update adapted model parameters and estimate model based inferred variables for AD, which are used for AD control by AD control system having supervisory and low-level control layers. The method of operating MBR is similar to that of AD. The supervisory control ensures the WWTP satisfying the effluent quality requirement while minimize the operation cost. A WWTP having at least one of AD or MBR is disclosed. The method of operating a WWTP can be implemented using a computer.

Abstract: A vehicular energy management system (EMS) determines a net total power from a traction drive load, an auxiliary device load, and a regenerative power. If the net total power is a net supply power, the EMS causes regenerative power to be provided to a power source and energy source in a controlled manner to initially charge the power source to a desired state-of-charge (SOC) and then subsequently charge the energy source. If the net total power comprises a net power load, the EMS causes power to be drawn from the power source and the energy source, with a split of the power being drawn from the power source and the energy source being based on a magnitude of the net power load. The EMS adjusts/maintains the SOC set-point of the power source and the DC link voltage based on vehicle speed and relative altitude of travel of the vehicle.

Abstract: A plasma-assisted waste gasification system and process for converting waste stream reaction residues into a clean synthesis gas (syngas) is disclosed. The feedstock is fed into a reactor roughly one-third from the bottom through the use of a feed mechanism. The reactor has three zones; a bottom zone where melting occurs, a middle zone where gasification takes place, and a top zone with integrated plasma torches to control the temperature and polish the syngas. The residence times in the three zones are selected to optimize the syngas composition and melted products. The syngas leaves the reactor and is partially quenched with relatively cooler synthesis gas. The partially quenched syngas is further cooled to recover heat for steam generation and/or preheating the waste stream to the reactor. The cold syngas is then processed to remove pollutants. The clean synthesis gas is combusted in power generation equipment to generate electricity, or converted to other fuels by chemical processes.

Abstract: A method of operating a waste water treatment plant (WWTP) having at least one of an aerobic digester (AD) and a membrane bioreactor (MBR) is described. The method of operating AD is comprised of monitoring and controlling AD in real-time using an online extended Kalman filter (EKF) having a online dynamic model of AD. The EKF uses real-time AD measured data, and online dynamic model of AD to update adapted model parameters and estimate model based inferred variables for AD, which are used for AD control by AD control system having supervisory and low-level control layers. The method of operating MBR is similar to that of AD. The supervisory control ensures the WWTP satisfying the effluent quality requirement while minimize the operation cost. A WWTP having at least one of AD or MBR is disclosed. The method of operating a WWTP can be implemented using a computer.

Abstract: System and method to estimate variables in an integrated gasification combined cycle (IGCC) plant are provided. The system includes a sensor suite to measure respective plant input and output variables. An extended Kalman filter (EKF) receives sensed plant input variables and includes a dynamic model to generate a plurality of plant state estimates and a covariance matrix for the state estimates. A preemptive-constraining processor is configured to preemptively constrain the state estimates and covariance matrix to be free of constraint violations. A measurement-correction processor may be configured to correct constrained state estimates and a constrained covariance matrix based on processing of sensed plant output variables. The measurement-correction processor is coupled to update the dynamic model with corrected state estimates and a corrected covariance matrix. The updated dynamic model may be configured to estimate values for at least one plant variable not originally sensed by the sensor suite.

Abstract: A vehicular energy management system (EMS) determines a net total power from a traction drive load, an auxiliary device load, and a regenerative power. If the net total power is a net supply power, the EMS causes regenerative power to be provided to a power source and energy source in a controlled manner to initially charge the power source to a desired state-of-charge (SOC) and then subsequently charge the energy source. If the net total power comprises a net power load, the EMS causes power to be drawn from the power source and the energy source, with a split of the power being drawn from the power source and the energy source being based on a magnitude of the net power load. The EMS adjusts/maintains the SOC set-point of the power source and the DC link voltage based on vehicle speed and relative altitude of travel of the vehicle.

Abstract: Control system and method for controlling an integrated gasification combined cycle (IGCC) plant are provided. The system may include a controller coupled to a dynamic model of the plant to process a prediction of plant performance and determine a control strategy for the IGCC plant over a time horizon subject to plant constraints. The control strategy may include control functionality to meet a tracking objective and control functionality to meet an optimization objective. The control strategy may be configured to prioritize the tracking objective over the optimization objective based on a coordinate transformation, such as an orthogonal or quasi-orthogonal projection. A plurality of plant control knobs may be set in accordance with the control strategy to generate a sequence of coordinated multivariable control inputs to meet the tracking objective and the optimization objective subject to the prioritization resulting from the coordinate transformation.

Abstract: System and method to estimate variables in an integrated gasification combined cycle (IGCC) plant are provided. The system includes a sensor suite to measure respective plant input and output variables. An extended Kalman filter (EKF) receives sensed plant input variables and includes a dynamic model to generate a plurality of plant state estimates and a covariance matrix for the state estimates. A preemptive-constraining processor is configured to preemptively constrain the state estimates and covariance matrix to be free of constraint violations. A measurement-correction processor may be configured to correct constrained state estimates and a constrained covariance matrix based on processing of sensed plant output variables. The measurement-correction processor is coupled to update the dynamic model with corrected state estimates and a corrected covariance matrix. The updated dynamic model may be configured to estimate values for at least one plant variable not originally sensed by the sensor suite.

Abstract: Control system and method for controlling an integrated gasification combined cycle (IGCC) plant are provided. The system may include a controller coupled to a dynamic model of the plant to process a prediction of plant performance and determine a control strategy for the IGCC plant over a time horizon subject to plant constraints. The control strategy may include control functionality to meet a tracking objective and control functionality to meet an optimization objective. The control strategy may be configured to prioritize the tracking objective over the optimization objective based on a coordinate transformation, such as an orthogonal or quasi-orthogonal projection. A plurality of plant control knobs may be set in accordance with the control strategy to generate a sequence of coordinated multivariable control inputs to meet the tracking objective and the optimization objective subject to the prioritization resulting from the coordinate transformation.

Abstract: Methods and systems for energy recovery in desalination or other systems are provided to transfer the pressure energy from one fluid to anther fluid. A system for energy recovery with a container comprises two sections separated by one or plurality of flexible impermeable diaphragms and pressures of the two fluids in the two sections are transmitted during the cyclical filling and pumping operations, as well as flow control valves. As one embodiment, two flexible impermeable tubes operable to receive two fluids of different pressures respectively connect to flow control valves. The first fluid and the second fluid are separated by the flexible impermeable diaphragm formed by the flexible tubes. Cyclical inflows of the two fluids transmit the higher pressure of one fluid to the other through the diaphragm and transfer the energy from one fluid to the other.

Abstract: A plasma-assisted waste gasification system including a sensing mechanism and process for converting waste stream reaction residues into a clean synthesis gas (syngas) is disclosed. The gasification system includes a first sensor located between a gas quench unit and a heat recovery unit to measure a first temperature and first flow rate of the synthesis gas exiting the gas quench unit; a second sensor to measure a second temperature and a second flow rate of a low temperature synthesis gas entering the gas quench unit; wherein the first sensor and the second sensor are connected to an inferential sensing mechanism. The inferential sensing mechanism is capable of estimating the temperature of the synthesis gas in the reactor, based on the measured first temperature and first flow rate, and the measured second temperature and second flow rate, using a mass-energy balance relationship that is based on the measurements of the two sensors.