Abstract: A computer-implemented method for diagnosing a degradation condition in an electrolyzer may comprise receiving data corresponding to a plurality of operational parameters of an electrolyzer stack comprising at least an input voltage and an operational current; generating runtime current-voltage (I-V) curves based on the input voltage and the operational current; comparing the generated I-V curves to expected I-V curves; identifying a first set of degradation conditions based on deviations between the generated I-V curves and the expected I-V curves; identifying data clusters of operational parameter data corresponding to times the electrolyzer operated with operational parameters in an undesirable range; identifying a second set of degradation conditions based on the identified data clusters; and comparing the first set of degradation conditions and the second set of degradation conditions to identify if any degradation conditions are present in both the first set of degradation conditions and the second set

Abstract: Embodiments of the present disclosure provide optimal site selection framework. A surrogate process model may be generated based on one or more physics-informed machine learning models and a rigorous dynamic process model. The surrogate process model may comprise a representation of a process including one or more target assets and one or more secondary assets. The process input for the one or more target assets may comprise power output from a renewable energy source. A design optimization algorithm representative of a multi-objective design optimization problem may be generated. The design optimization algorithm may comprise one or more site selection variables and one or more site selection constraints. One or more outputs may be generated by executing an optimization model based on the surrogate process model and the design optimization algorithm. The one or more outputs may comprise predicted optimal sites and an optimal conceptual design for the process.

Abstract: Embodiments of the present disclosure provide an optimal conceptual design framework. A surrogate process model may be generated based on one or more physics-informed machine learning models and a rigorous dynamic process model. The surrogate process model may comprise a representation of a plant process including one or more target assets and one or more secondary assets. The process input for the one or more target assets may comprise power output from a renewable energy source. A design optimization algorithm representative of a multi-objective design optimization problem may be generated. An optimal conceptual design for the process may be generated by executing an optimization model based on the surrogate process model and the design optimization algorithm.

Abstract: Methods and systems for facilitating the trading of energy in a peer-to-peer manner and maintain a balanced supply of energy. The systems and methods may incorporate an electric meter coupled to an energy source and an energy load, along with an energy trading platform configured to establish a blockchain distributed ledger configured to record energy transaction between energy consumers and energy suppliers. The energy trading platform may receive notifications of available energy from energy suppliers, requests for energy from energy consumers, and a selection of an energy consumer to fulfill an energy request. In response to the selection, an energy transaction may be formed and executed via self-executing contract stored in the distributed ledger. In some cases, the systems and methods may incorporate a dynamic demand response system.

Abstract: An energy storage device is provided that includes a separator having a first surface and a second surface. The first surface defines at least a portion of a cathodic chamber, and the second surface defines an anodic chamber. The cathodic chamber includes an alkali metal halide that forms an ion that is capable of conducting through the separator. The anodic chamber has a volume that is filled with a consumable fluid. The amount of the consumable fluid is greater than 90 percent by volume of the anodic chamber volume. Furthermore, the consumable fluid is reactive with an ionic species of the alkali metal halide. A method of sealing the energy storage device is also provided.

Abstract: A method for providing auxiliary electrical power to an underwater well installation, the installation being linked to a surface location via an umbilical cable, to supplement any electrical power received at the installation from the umbilical cable, comprises the steps of: providing power generation means at the installation; and providing an electrical power output line for transferring electrical power generated by the power generation means to the installation.

Abstract: A method for providing auxiliary electrical power to an underwater well installation, the installation being linked to a surface location via an umbilical cable, to supplement any electrical power received at the installation from the umbilical cable, comprises the steps of: providing power generation means at the installation; and providing an electrical power output line for transferring electrical power generated by the power generation means to the installation.

Abstract: An energy storage device is provided that includes a separator having a first surface and a second surface. The first surface defines at least a portion of a cathodic chamber, and the second surface defines an anodic chamber. The cathodic chamber includes an alkali metal halide that forms an ion that is capable of conducting through the separator. The anodic chamber has a volume that is filled with a consumable fluid. The amount of the consumable fluid is greater than 90 percent by volume of the anodic chamber volume. Furthermore, the consumable fluid is reactive with an ionic species of the alkali metal halide. A method of sealing the energy storage device is also provided.