Grid Regulation Services for Energy Storage Devices Based on Grid Frequency
The invention represents an algorithm to provide a form of "regulation up and down services" to the electric power grid using an energy storage device. The storage device could be an electric vehicle or a stationary energy storage device like a photovoltaic system. The regulation will allow the storage device to vary its contribution to the power grid between a full discharge (generation) state and full charge (consumption) state. The basis for this regulation will come from frequency measurements of the alternating current (AC) power supply as delivered to the outlet in homes and buildings. The actual amount of load present on the system will be adjusted using this regulation signal and information about any constraints imposed upon the load device (such as a desired finish time or maximum capacity). The invention represents an algorithm to provide a form of regulation up and down services to the electric power grid using any load whose overall operation will not be hindered if the power supplied to the load varies in a charging and discharging sense (i.e., “load” devices such as the charger for a plug-in hybrid electric vehicle (PHEV) or other storage device). The regulation will allow the storage device to vary its contribution to the power grid between a full discharge (generation) state and full charge (consumption) state. The basis for this regulation will come from frequency measurements of the alternating current (AC) power supply as delivered to the outlet in homes and buildings. The actual amount of load or generation the end device presents on the system will be adjusted using this regulation signal and information about any constraints imposed upon the load device (such as a desired finish time or maximum capacity).
Grid Regulation Services for Energy Storage Devices Based on Grid Frequency
The invention represents an algorithm to provide a form of "regulation up and down services" to the electric power grid using an energy storage device. The storage device could be an electric vehicle or a stationary energy storage device like a photovoltaic system. The regulation will allow the storage device to vary its contribution to the power grid between a full discharge (generation) state and full charge (consumption) state. The basis for this regulation will come from frequency measurements of the alternating current (AC) power supply as delivered to the outlet in homes and buildings. The actual amount of load present on the system will be adjusted using this regulation signal and information about any constraints imposed upon the load device (such as a desired finish time or maximum capacity). The invention represents an algorithm to provide a form of regulation up and down services to the electric power grid using any load whose overall operation will not be hindered if the power supplied to the load varies in a charging and discharging sense (i.e., “load” devices such as the charger for a plug-in hybrid electric vehicle (PHEV) or other storage device). The regulation will allow the storage device to vary its contribution to the power grid between a full discharge (generation) state and full charge (consumption) state. The basis for this regulation will come from frequency measurements of the alternating current (AC) power supply as delivered to the outlet in homes and buildings. The actual amount of load or generation the end device presents on the system will be adjusted using this regulation signal and information about any constraints imposed upon the load device (such as a desired finish time or maximum capacity).
PEPTIDE AND PROTEIN BIOMARKERS FOR TYPE 1 DIABETES MELLITUS
A method for identifying persons with increased risk of developing type 1 diabetes mellitus, or having type I diabetes mellitus, utilizing selected biomarkers described herein either alone or in combination. The present disclosure allows for broad based, reliable, screening of large population bases. Also provided are arrays and kits that can be used to perform such methods.
ASCEM Amanzi Simulator (Advanced Simulation Capability for Environmental Management: Amanzi Simulator) - Open Source
Amanzi provides a flexible and extensible multiphase, multicomponent, flow and reactive transport simulation capability for environmental applications. It includes toolsets for meshing infrastructure, discretizations, and solvers for the resulting nonlinear systems of equations. The code is parallel and makes use of open-source parallel frameworks such as Trilinos developed at Sandia National Laboratory and PETSc (the Portable Extensible Toolkit for Scientific Computing) developed at Argonne National Laboratory. Amanzi is used to model contaminant migration at various DOE waste sites (e.g., Hanford, and Savannah River), and is generally applicable to contaminant migration in groundwater/surfacewater under partially saturated, non-isothermal conditions and its interaction with surface water. Development of Amanzi is funded by the DOE Office of Environmental Management under the Advanced Simulation Capability for Environmental Management (ASCEM) program.
Mark White
ELECTRON BEAM MASKS FOR COMPRESSIVE SENSORS
Transmission microscopy imaging systems include a mask and/or other modulator situated to encode image beams, e.g., by deflecting the image beam with respect to the mask and/or sensor. The beam is modulated/masked either before or after transmission through a sample to induce a spatially and/or temporally encoded signal by modifying any of the beam/image components including the phase/coherence, intensity, or position of the beam at the sensor. For example, a mask can be placed/translated through the beam so that several masked beams are received by a sensor during a single sensor integration time. Images associated with multiple mask displacements are then used to reconstruct a video sequence using a compressive sensing method. Another example of masked modulation involves a mechanism for phase-retrieval, whereby the beam is modulated by a set of different masks in the image plane and each masked image is recorded in the diffraction plane.
Method and Apparatus for Smart Battery Charging
Unlike most electric loads, electric vehicles are mobile. Consequently, one cannot necessarily know that an electric vehicle will be configured safely for any of the charging stations at which it might try to charge. Limitations might be imposed by any of the components, including battery packs, power electronic chargers, premise plug and wiring infrastructure. Furthermore, preferences (and perhaps hard limits) will be imposed by the electric utility, which might insist, for example, that electric vehicles charge off peak, or by vehicle owners, each of whom might wish to assert preferences that will affect charging costs and convenience. This invention describes a fuzzy approach for accommodating such limits and preferences from numerous sources.
software system for scaling irregular applications using commodity hardware components.
What we contribute is a means for enhancing ease-of-use and performance on mass market systems in the area of large-scale irregular computations. Specifically, we provide a method managing computational, memory and generalized atomic and synchronizing operations and providing a scalable shared global address space, a sequentially consistent programming model for race-free programs, and portability across single and multinode systems built from commodity multicore processors. This method is particularly useful for addressing irregular computations that are too large or demand too much computation time to be solved feasibly on a single conventional computer.
A hierarchical clustering scheme for atom tomography data
The current scripts utilize a well-known cluster analysis algorithm, called ordering points to identify the clustering structures (OPTICS), and an automatic cluster extraction algorithm for clustering analysis of 3D spatial data, specifically for the Atom Probe Tomography data. A hierarchical clustering scheme, together with density-based clustering, were implemented. The advantages of the developed algorithm is that the produced a hierarchy of clusters, which can be retrieved and re-analyzed later, could save researchers time in manually exploring parameter space as in current widely used method, and the capability to identify clusters of varying atomic density in a single run. The current developed scripts can also serve as a platform to test new algorithms with the internal and external APT experts.
Sustainable Data Evolution Technology (SDET) for Power Grid Optimization - Open Source
Pacific Northwest National Laboratory team is developing a sustainable data evolution technology (SDET) tool to create open-access power grid datasets and facilitate updates to these datasets by the community. The lack of open-access, realistic datasets significantly limits the ability of researchers, developers and ultimately end users to develop, benchmark and compare new methods and tools for optimizing the operation and planning of the grid, which leads to slow adoption by end users. The SDET technology will deliver large-scale realistic datasets and data tooling methods capable of generating new datasets. Along with a separate Data Repository for Power system Open models With Evolving Resources (DR POWER), which aims to deliver a repository that manages datasets through a web portal, we are proposing a complete package for evolvable power grid datasets. The objective is to make this a long lasting effort within and beyond the ARPA-E program so that the datasets can evolve over time and meet the needs for the current and future power grids.