Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for expanding a digital document including a sequence of informational data via supplemental multimodal digital content. In particular, the system expands digital documents with multimodal granular details to dynamically integrate supplemental in-depth information to the digital document. For example, in response to a selection of a specific portion of a digital document, the system generates expanded multimodal content (e.g., text and image content) for the selected portion of the digital document from external text and image sources. Indeed, the system uses existing content from the digital document to select images and combine the selected images with text into image-text pairs that are textually and visually consistent with the digital document. Moreover, the system expands the digital document by inserting the image-text pairs in connection with the selected portion of the digital document.

Abstract: The invention relates to blends of sulfo-modified copolyester and polyalkylene furanoate such as polyethylene-, polybutylene-, or polytrimethylene-furanoate, or a mixture thereof. The sulfo-modified copolyester comprises at least about 75 mole % of polyethylene terephthalate or polyethylene naphthalate or a mixture thereof; and at least about 0.1 mole % to about 5 mole % of units of the Formula (I) wherein n is an integer from 3 to 10 and wherein M+ is an alkali metal ion, earth alkali metal ion, phosphonium ion or ammonium ion. Articles requiring high gas barrier are bottles for beer, juices, carbonated soft drinks, and the like.

Abstract: A cryogenic liquid storage system is provided that includes a primary container, an insulation portion, a secondary container, and a pressure release feature. The primary container includes a metal sidewall and a metal dome. Alternatively, the primary container may be constructed out of composite material. The primary container may be configured to retain liquid hydrogen. The insulation portion covers the primary container. The secondary container includes a composite material that covers each of the primary container and the insulation portion. The pressure release feature is disposed through each of the primary container dome, the insulation portion, and the secondary container dome.

Abstract: There is provided a method of controlling an industrial gas plant complex comprising a plurality of industrial gas plants powered by one or more renewable power sources, the method being executed by at least one hardware processor, the method comprising receiving time-dependent predicted power data for a pre-determined future time period from the one or more renewable power sources; receiving time-dependent predicted operational characteristic data for each industrial gas plant; utilizing the predicted power data and predicted characteristic data in an optimization model to generate a set of state variables for the plurality of industrial gas plants; utilizing the generated state variables to generate a set of control set points for the plurality of industrial gas plants; and sending the control set points to a control system to control the industrial gas plant complex by adjusting one or more control set points of the industrial gas plants.

Abstract: A cryogenic liquid storage system is provided that includes a primary container, an insulation portion, a secondary container, and a pressure release feature. The primary container includes a metal sidewall and a metal dome. Alternatively, the primary container may be constructed out of composite material. The primary container may be configured to retain liquid hydrogen. The insulation portion covers the primary container. The secondary container includes a composite material that covers each of the primary container and the insulation portion. The pressure release feature is disposed through each of the primary container dome, the insulation portion, and the secondary container dome.

Abstract: Location-based virtual queuing of vehicles is described. A request to join a virtual queue may be received from a user application. In response to receiving the request, the server may determine, using a geo-fencing feature, if the user computing device running the user application is within a first predetermined distance of a queue location, where the queue location is a destination of the requesting user vehicle. Then, in response to receiving confirmation that the requesting vehicle user is within the first predetermined distance, the server may automatically create and add a reservation message to a data structure that includes a plurality of reservation messages. Also, in response to the creating the reservation message, the server may provide the requesting user application a notification with the position within a queue managed by the data structure and an estimated wait time that is generated using information stored within the data structure.

Abstract: A method and system for selecting a design configuration of an industrial gas plant complex comprising one or more industrial gas plants and powered by one or more renewable power sources.

Abstract: There is provided a method of determining and utilizing predicted available power resources from one or more renewable power sources for one or more industrial gas plants comprising one or more storage resources. The method is executed by at least one hardware processor and comprises: obtaining historical time-dependent environmental data associated with the one or more renewable power sources; obtaining historical time-dependent operational characteristic data associated with the one or more renewable power sources; training a machine learning model based on the historical time-dependent environmental data and the historical time-dependent operational characteristic data; executing the trained machine learning model to predict available power resources for the one or more industrial gas plants for a pre-determined future time period; and controlling the one or more industrial gas plants in response to the predicted available power resources for the pre-determined future time period.

Abstract: A device structure includes first electrically conductive lines, second electrically conductive lines that are vertically spaced apart from the first electrically conductive lines, a two-dimensional array of magnetic tunnel junctions located between the first electrically conductive lines and the second electrically conductive lines, and a two-dimensional array of selector elements located in series with the two-dimensional array of magnetic tunnel junctions. Each of the magnetic tunnel junctions includes a respective reference layer, a respective nonmagnetic tunnel barrier layer, and a respective free layer, and has a respective pair of first tapered planar sidewalls laterally extending along a first horizontal direction and a respective pair of second tapered planar sidewalls laterally extending along a second horizontal direction.

Abstract: There is provided a method of controlling an industrial gas plant complex comprising a plurality of industrial gas plants powered by one or more renewable power sources, the method being executed by at least one hardware processor, the method comprising receiving time-dependent predicted power data for a pre-determined future time period from the one or more renewable power sources; receiving time-dependent predicted operational characteristic data for each industrial gas plant; utilizing the predicted power data and predicted characteristic data in an optimization model to generate a set of state variables for the plurality of industrial gas plants; utilizing the generated state variables to generate a set of control set points for the plurality of industrial gas plants; and sending the control set points to a control system to control the industrial gas plant complex by adjusting one or more control set points of the industrial gas plants.

Abstract: There is provided a method of determining and utilizing predicted available power resources from one or more renewable power sources for one or more industrial gas plants comprising one or more storage resources. The method is executed by at least one hardware processor and comprises: obtaining historical time-dependent environmental data associated with the one or more renewable power sources; obtaining historical time-dependent operational characteristic data associated with the one or more renewable power sources; training a machine learning model based on the historical time-dependent environmental data and the historical time-dependent operational characteristic data; executing the trained machine learning model to predict available power resources for the one or more industrial gas plants for a pre-determined future time period; and controlling the one or more industrial gas plants in response to the predicted available power resources for the pre-determined future time period.

Abstract: There is provided a method of controlling an industrial gas plant complex comprising a plurality of industrial gas plants powered by one or more renewable power sources, the method being executed by at least one hardware processor, the method comprising receiving time-dependent predicted power data for a pre-determined future time period from the one or more renewable power sources; receiving time-dependent predicted operational characteristic data for each industrial gas plant; utilizing the predicted power data and predicted characteristic data in an optimization model to generate a set of state variables for the plurality of industrial gas plants; utilizing the generated state variables to generate a set of control set points for the plurality of industrial gas plants; and sending the control set points to a control system to control the industrial gas plant complex by adjusting one or more control set points of the industrial gas plants.

Abstract: There is provided a method of determining and utilizing predicted available power resources from one or more renewable power sources for one or more industrial gas plants comprising one or more storage resources. The method is executed by at least one hardware processor and comprises: obtaining historical time-dependent environmental data associated with the one or more renewable power sources; obtaining historical time-dependent operational characteristic data associated with the one or more renewable power sources; training a machine learning model based on the historical time-dependent environmental data and the historical time-dependent operational characteristic data; executing the trained machine learning model to predict available power resources for the one or more industrial gas plants for a pre-determined future time period; and controlling the one or more industrial gas plants in response to the predicted available power resources for the pre-determined future time period.

Abstract: A storage system is provided that includes a primary container, a first insulation layer, a secondary container, a secondary bottom, and a second insulation layer. The primary container has a primary bottom. The first insulation layer is disposed below the primary bottom. The secondary bottom is disposed below the first insulation layer and the secondary container. The secondary bottom has an expansion joint configured to permit the secondary bottom to expand and/or contract independently from the secondary container. The second insulation layer is disposed below the secondary bottom. In the event of LNG leaking from the primary container, the second insulation layer is protected from LNG contact by the secondary bottom. The carbon steel liner located on the outside face of the concrete wall remains vapor tight and liquid tight in the event of any amount of LNG leaking from the primary container.

Abstract: A gaseous hydrogen storage system may include a primary container including a metal sidewall and a metal dome. The primary container may be configured to retain gaseous hydrogen. A portion of the primary container, such as the metal sidewall may be covered with a composite material layer. The metal sidewall and the metal dome may be constructed from carbon steel, stainless steel, a nickel-based steel, and combinations thereof.

Abstract: A liquified air storage system can include a container assembly. The container assembly can be disposed on a base. The container assembly can have an interior portion and an exterior portion. The interior portion can include a reinforced concrete layer and a steel liner. The exterior portion can be disposed adjacent to the interior portion, the exterior portion including prestressed wire. A method of assembling a liquified air storage system can include assembling an interior portion of a container assembly. The interior portion can have a reinforced concrete layer and a steel liner. Next, an exterior portion of the container assembly can be assembled on the interior portion. The exterior portion can include a composite material and prestressed wires. The exterior portion can be covered with an insulation layer.

Abstract: A cryogenic liquid storage system is provided that includes a primary container, an insulation portion, a secondary container, and a pressure release feature. The primary container includes a metal sidewall and a metal dome. Alternatively, the primary container may be constructed out of composite material. The primary container may be configured to retain liquid hydrogen. The insulation portion covers the primary container. The secondary container includes a composite material that covers each of the primary container and the insulation portion. The pressure release feature is disposed through each of the primary container dome, the insulation portion, and the secondary container dome.

Abstract: A precast, prestressed concrete tank and method that facilitates construction of a primary inner tank within a secondary outer tank, and which permits for the construction of the primary inner tank after the secondary outer tank has been erected, but without requiring insertion through a top of the secondary outer tank, or by tunneling underneath the secondary outer tank, is disclosed. The primary inner tank has an inner wall and the secondary outer tank has an outer wall (precast, prestressed concrete) and wire windings. The primary inner tank is disposed inside of the secondary outer tank. The secondary outer tank has a plurality of first precast outer wall panels, and a temporary construction opening frame. The temporary construction opening frame defines an access doorway during construction of the tank. The temporary construction opening frame is disposed on a foundation base slab.

Abstract: There is provided a method of controlling an industrial gas plant complex comprising a plurality of industrial gas plants powered by one or more renewable power sources, the method being executed by at least one hardware processor, the method comprising receiving time-dependent predicted power data for a pre-determined future time period from the one or more renewable power sources; receiving time-dependent predicted operational characteristic data for each industrial gas plant; utilizing the predicted power data and predicted characteristic data in an optimization model to generate a set of state variables for the plurality of industrial gas plants; utilizing the generated state variables to generate a set of control set points for the plurality of industrial gas plants; and sending the control set points to a control system to control the industrial gas plant complex by adjusting one or more control set points of the industrial gas plants.

Abstract: There is provided a method of monitoring operational characteristics of an industrial gas plant complex comprising a plurality of industrial gas plants. The method being executed by at least one hardware processor and comprising: assigning a machine learning model to each of the industrial gas plants forming the industrial gas plant complex; training the respective machine learning model for each industrial gas plant based on received historical time-dependent operational characteristic data for the respective industrial gas plant; executing the trained machine learning model for each industrial gas plant to predict operational characteristics for each respective industrial gas plant for a pre-determined future time period; and comparing predicted operational characteristic data for each respective industrial gas plant for a pre-determined future time period with measured operational characteristic data for the corresponding time period to identify deviations in industrial gas plant performance.