The present invention concerns a method for generating technical design solutions satisfying a given performance target for a building. The method comprises: selecting a design model for the building; selecting a first set of design parameters from a first database; qualifying and/or quantifying the design parameters in the first set; generating a first set of design parameter combinations from the first set of design parameters; attributing the first set of design parameter combinations to the design model to obtain a first set of design alternatives; accessing a second database to determine the impact of the first set of design alternatives on a performance of the building; and ranking the first set of design parameters according to their contribution to the performance of the building.

A method comprises performing an analysis of airflow and temperature distribution in an indoor environment utilizing a hybrid turbulence model including a Chen-Xu model used for analysis of bulk flow and a wall function used in first grid cells bounding solid objects in the indoor environment and adjusting physical layout and/or operating parameters of heat producing electrical equipment and/or a cooling system of the indoor environment responsive to results of the analysis to improve one of temperature distribution within the indoor environment and operating efficiency of the cooling system of the indoor environment.

Gross energy load can be determined by combining periodic net load statistics, such as provided by a power utility or energy agency, with on-site power generation, such as photovoltaic power generation, as produced over the same time period. The gross energy load provides an indication upon which other types of energy investment choices can be evaluated. These choices can include traditional energy efficiencies, such as implementing electrical efficiency measures, which includes cutting down on and avoiding wasteful energy use and switching to energy efficient fixtures, and improving the thermal efficiency and performance of a building. The choices can also include non-traditional energy efficiencies, such as replacing a gasoline-powered vehicle with an electric vehicle, fuel switching from a water heater fueled by natural gas to a heat pump water heater, and fuel switching from space heating fueled by natural gas to a heat pump space heater.

Implementations disclosed herein may include receiving from a user a selection of at least one die, a package type, and at least one test condition; generating, using a processor, a product die configuration and a product package configuration using a predictive modeling module and the at least one die and the package type; generating a graphic design system file; generating a package bonding diagram; generating a product spice model of the discrete device product using a technology computer aided design module; generating, using a processor, one or more datasheet characteristics of the discrete device product with the product SPICE model; generating a product datasheet for the discrete device product using the graphic design system file; and using a second interface generated by a computing device to provide access to the graphic design system file, the package bonding diagram, the product datasheet, and the product SPICE model.

A method, apparatus, and system provide the ability to design a convective cooling channel in a computer. Input data is acquired and includes a geometry of an object to be cooled, a design objective, and boundary conditions. Channel designs corresponding to the input data are generated using an iterative topology optimization. One of the channel designs is selected and output.

A disclosed example includes: a resource utilization analyzer to determine 1) first workloads of a first workload type deployed in a first server room in a data center, and 2) second workloads of a second workload type deployed in the first server room; a workload authorizer to determine that first virtual machines executing the first workloads and second virtual machines executing the second workloads cause a first server rack to generate an amount of heat; and a migrator to migrate the first virtual machines from the first server rack of the first server room to a second server rack of a second server room in the data center to reduce a temperature in the first server room based on the amount of heat, the migrator to migrate the first virtual machines to the second server rack without migrating the second virtual machines to the second server rack.

A system for solving an event-dependent multicriteria optimization problem of at least one cyber-physical system, comprising a control device for controlling the at least one cyber-physical system, the control device controlling the cyber-physical system in dependence on a list of prioritized objectives by solving at least one event-dependent suboptimization problem is characterized in that each objective from the list of prioritized objectives is captured as an objective function, each objective function consisting of at least two parts, a first part of which relates to directly capturing the objective and a second part of which describes a condition under which each result of one of the preceding objectives of each of the preceding suboptimization problems is substantially not negatively affected.

An inlet screen, arranged at the water inlet of a hydropower plant and comprises a plurality of elongated bars separated by a distance holding means, each elongated bar having in its elongation a proximal portion and a distal portion, and an upstream region and a downstream region, said regions being at an angle in relation to said proximal and distal portions, at least one of said bars defining a space extending along at least a portion of the elongation of said bar, said bar being provided. with an electric heating means. Said elongated bar has an elongated intermediate portion, said space being defined in either of the upstream region and the downstream region, said intermediate portion extending along the elongation of the bar between the upstream region and the downstream region, said electric heating means comprising at least one electric heating member.

A battery model construction method includes: a step ST2 for constructing a battery model; steps ST3 and ST4 for evaluating, for each sample battery, the prediction error between a measured value of the SOH and a predicted value according to the battery model, and determining whether there is inherent bias in the prediction error for each sample battery; steps ST5 and ST6 for constructing a first error prediction model associating explanatory variables defined on the basis of usage history parameters with an objective variable, and determining whether a first correlation exists between the measured value of the average prediction error acquired in steps ST3 and ST4 and the predicted value according to the first error prediction model; and a step ST7 for reconstructing the battery model in the case where it is determined that there is bias and that the first correlation exists in steps ST5 and ST6.

A system and method for simulating an electronic circuit is disclosed. The method includes creating a finite set of circuit or device parameter points selected from within an n-dimensional parameter space. The method includes determining, for each circuit or device parameter point of the set, a corresponding response value of the performance metric and a corresponding probability of occurrence. The method includes determining, for a predetermined value of the performance metric, the total probability of occurrence.