Abstract: A computer-implemented system and method to determine building thermal performance parameters through empirical testing is described. Three building-specific parameters, thermal conductivity, thermal mass, and effective window area, are empirically derived. Thermal conductivity is evaluated through an empirical test conducted in the absence of solar gain with constant indoor temperature and no HVAC. Thermal mass is evaluated through a second empirical test conducted in the absence of solar gain and no HVAC. Effective window area is evaluated through a third empirical test conducted in the presence of solar gain and no HVAC. Thermal HVAC system power rating and conversion and delivery efficiency are also parametrized. The parameters are estimated using short duration tests that last at most several days. The parameters and estimated HVAC system efficiency can be used to simulate a time series of indoor building temperature, annual fuel consumption, or maximum indoor temperature.

Abstract: Systems, apparatuses, and methods are described relating to object modeling, including, but not limited to, providing a convected perfectly matched layer (PML) expression as boundary condition for at least a portion of a model. The convected PML expression defines the boundary condition of the portion of the model in any arbitrary direction, allowing automatic definition of the boundary condition. The convected PML expression defines the boundary condition of the portion of the model in a constant or non-constant mean flow context.

Abstract: A method for analyzing energy savings for a building is provided. The method includes receiving a historical energy usage and a weather data for a building, a set of operations parameters describing building operations and a set of building system parameters describing building systems. A baseline configuration is submitted to a first energy consumption simulation to determine a baseline energy usage profile. A calibrated configuration is determined from the baseline configuration and the historical energy usage. The calibrated configuration is submitted to a second energy consumption simulation to determine a calibrated energy usage profile. A hypothetical configuration is determined from the calibrated configuration and a set of energy improvement measures. The hypothetical configuration is submitted to a third energy consumption simulation to determine a hypothetical energy usage profile and report.

Abstract: Computer based methods and systems for characterizing the energy use of multiple different building massing configurations are disclosed. In one embodiment, a computer based method involves specifying a set of parameters for a building massing configuration, calculating a normalized energy use index for multiple different building massing configurations that meet the specified set of parameters, wherein the normalized energy use index for each of the multiple different building massing configurations is normalized against a reference energy use index of a reference building, ranking the multiple different building massing configurations by the respective normalized energy use indexes, and selecting at least one of the different massing configurations for display on a graphical user interface according to the ranking.

Abstract: A design support device of the present invention is a design support device that is connected to a network to which both an input/output device where input/output regarding designing is performed and a design data accumulation device for storing design data regarding the designing are connected, the design support device including a network monitoring unit that monitors the network, detecting input/output data that is input/output between the network and the input/output device and outputting a monitoring log, and a design process list creation unit that extracts design processes based on a relationship between information regarding the input data and information regarding the output data included in the monitoring log, and creating and outputting a design process list by arranging the extracted design processes in a list.

Abstract: Embodiments of the present disclosure support a simulation of a plurality of processor core models. The processor core models are executed in parallel within a sliding time window of a defined size. Each processor core model is executed in a different corresponding thread and advances a local core time within the sliding time window. The sliding time window advances by updating a start time of the sliding time window based on the local core time of each processor core model. One or more hardware models and a simulation kernel are executed in a separate thread having a simulation time and simulation events. The start time of the sliding time window is updated based further on an event time of a next event of the simulation events scheduled in the separate thread.

Abstract: A system with generalized representation conversion capabilities, including at least one computing device in a client-server structure. A user may operate the client computing device to use a computer-aided design (CAD) software to implement geometric models for multiple objects, and request data from the server. A data store at the server stores necessary information of the system, which includes master representation information of a plurality of master representations (MRs), each MR representing one or more objects. When the user requests an individual representation of a selected object, a conversion module at the server may obtain, from the data store, the master representation information corresponding to the MR of the selected object being requested, and convert the master representation information to individual representation information, which corresponds to the individual representation of the selected object.

Abstract: A method and apparatus to compensate for distortion of a waveform due to the skin effect in a current shunt. The method includes modeling the complex impedance of the shunt as component complex impedances. By designing a filter corresponding to the component complex impedances, the distortion of a waveform across the shunt may be reversed to provide an accurate replica of the undistorted waveform.

Abstract: Communication throughput or fluctuations therein is more accurately predicted. A flow rate prediction device of the present invention is provided with: a stationarity discerning means for discerning whether the state of fluctuation in a flow rate is a steady state or non-steady state, on the basis of flow rate time series data; a mixing ratio estimating means which uses the discernment result, a mixing ratio fluctuation model, and a discernment result observation model, and which estimates the mixing ratio in the flow rate in a designated duration; and a model mixing means for mixing a steady model and a non-steady model, on the basis of the estimated mixing ratio, to construct a mixed model.

Abstract: Using pin planning for core sources includes identifying, using a processor, a first pin configuration and a second pin configuration for a core source of a behavioral description of a circuit design. The second pin configuration is generated by a pin planning operation. The first pin configuration of the core source can be compared with the second pin configuration of the core source using a processor. Responsive to detecting a difference between the first pin configuration and the second pin configuration, the core source can be automatically update, using the processor, based upon the second pin configuration.

Abstract: Systems and methods are provided for modeling fluid flow in a turbomachine. A specification of a system is received. The system includes multiple passages, where the multiple passages include at least an inlet guide vane, a rotor, and a stator. A computational grid is generated with a processing system based on the received specification. Governing flow equations for the system are transformed based on inclination parameters, where each passage of the system has an associated inclination parameter. A rotational velocity of rotating passages included in the system is specified, and a time-step for stationary passages included in the system is specified. Time-steps for the rotating passages included in the system are computed, where the time-steps are computed based on pitch-ratios for adjacent passages of the system. A solution for the system is advanced in time by solving the transformed governing flow equations across the computational grid using computer-based numerical calculations.

Abstract: A system and method to predict rock strength by directly inverting for petrophysical properties. In one embodiment, seismic data is received or obtained from a seismic survey (step 101). The seismic data are then conditioned (step 103) in order to prepare them for an inversion process (step 105). The inversion process has an embedded rock physics model that allows the inversion to be formulated based upon, and thereby outputting or calculating (step 107), petrophysical properties. Rock strength data may then be calculated from the petrophysical properties (step 109).

Abstract: Example methods and systems for determining a treatment plan for a radiotherapy treatment system to deliver radiotherapy treatment to a patient are disclosed. In one embodiment, the method may comprise performing a particle transport simulation to initiate a first set of particle histories and a second set of particle histories from a radiation source of the radiotherapy treatment system to a treatment volume with multiple voxels representing an anatomy of the patient. The method may also comprise determining first cumulative costs associated with respective particle histories in the first set and second cumulative costs associated with respective particle histories in the second set. The method may further comprise selecting the first set or second set based on the first cumulative costs and second cumulative costs and determining the treatment plan based on the selected first set or second set.

Abstract: A method and system for forming a dynamic model for the behavior of machines from sensed data. The method and system generates a dynamic model of the machine by applying a canonical variate analysis (CVA) method to subspace system identification extending to parameter varying (LPV) systems and nonlinear (NL) systems in order to make implementation of the computation feasible and accurate.

Abstract: Systems and methods for subsurface secondary and/or tertiary oil recovery optimization based on either a short term, medium term or long term optimization analysis of selected zones, wells, patterns/clusters and/or fields.

Abstract: A method of modeling an oilfield network can include identifying a well and a tying point, identifying locations of the well and tying point, identifying elevations of the well and tying point, creating a model pipeline along a path between the well and the tying point, such as a straight line path between the well and the tying point, defining a length of the path, calculating an elevation difference between the well and the tying point, determining whether an obstacle exists in the path, and defining a length of the pipeline. A method can include creating a second path that circumvents the obstacle and adjusting a length of a pipeline accordingly. A method can include implementing one or more nudging algorithms and incrementally adjusting the length of a pipeline. A method can include defining one or more limits for adjusting a length of a pipeline model.

Abstract: A method for completing a well includes receiving completion parameters associated with a well within a field; projecting a production of the well based on the completion parameters using a completion engine applied to a field-specific model; prescribing proposed completion parameters for the well to comply with a production objective using the completion engine applied to the field-specific model; projecting a proposed production based on the proposed completion parameters using the completion engine applied to the field-specific model; and recompleting the well in accordance with the proposed completion parameters.

Abstract: A method and apparatus for producing a design for a system (2) that comprises a plurality of subsystems (4, 6) is provided. Criteria to be satisfied by the system (2) are identified. For each subsystem (4, 6), further criteria that are to be satisfied by that subsystem (4, 6) are determined and a parametric model (8, 16) is then determined. These comprise inputs (10, 18) and outputs (14, 22) that are dependent on the inputs (10, 18). A systems engineering model (100) comprising, as inputs, parametric model inputs (10, 18) is then determined. System model outputs (28) are dependent on the system model inputs. Groups consisting of some of the system model inputs are formed and an optimization process is performed, for each group, to determine inputs that optimize the system model outputs (28). A set of inputs that optimize the system model outputs (28) provides a design for the system.

Abstract: Systems and methods for governing execution of a service provisioning engagement are described. In one implementation, the described methods are implemented in the systems, where the method includes determining a customized schema based on a viable systems model, where the customized schema is defined using a plurality of dimensions and a plurality of sub-dimensions, where the plurality of dimensions and the plurality of sub-dimensions is defined using a plurality of parameters. The method also includes determining a system dynamics model which defines relationship between the plurality of parameters of the customized schema. The method further includes setting targets for at least one parameter from amongst the plurality of parameters of the customized schema and simulating the at least one parameter interactively based on the system dynamics model.

Abstract: Examples of techniques for optimal storage of load data for lifetime prediction for a piece of equipment used in a well operation are disclosed. In one example implementation according to aspects of the present disclosure, a method may include: using a lifetime model for the piece of equipment used in the well operation; discretizing, by a processing device, a load data spectrum into one or more buckets, the one or more buckets having a bucket size, wherein the bucket size of at least one bucket is based on one of the lifetime model and a distribution of load data; collecting load data of the piece of equipment; assigning, by the processing device, the collected load data to the one or more buckets of the load data spectrum; and storing, by the processing device, the collected load data assigned to the one or more buckets to a memory.