Systems, methods, and media for modeling transient thermal behavior

A method for simulating thermal behavior in energy usage simulators, comprising:

• inducing an event trigger at an environment, wherein the event trigger changes the behavior of the environment;
• performing computational fluid dynamics simulations on the environment based on a description of the environment to generate transient temperatures;
• generating a thermal map of the environment using at least one hardware processor;
• predicting thermal behavior in the environment based on the thermal map;
• wherein thermal behavior includes division distribution, temporal distribution, and hysteresis;
• computing physical performance metrics based on the thermal behavior and on efficiency models;
• generating a resource utilization matrix (RUM) based on both the thermal behavior and workloads of equipment in the environment;
• generating a computational performance matrix based on the RUM and a supplied performance model;
• and
• computing computational performance based on the RUM and on performance models.

A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform a method for simulating thermal behavior in energy usage simulators, the method comprising:

• inducing an event trigger at an environment, wherein the event trigger changes the behavior of the environment;
• performing computational fluid dynamics simulations on the environment based on a description of the environment to generate transient temperatures;
• generating a thermal map of the environment;
• predicting thermal behavior in the environment based on the thermal map;
• wherein thermal behavior includes division distribution, temporal distribution, and hysteresis;
• computing physical performance metrics based on the thermal behavior and on efficiency models;
• generating a resource utilization matrix (RUM) based on both the thermal behavior and workloads of equipment in the environment;
• generating a computational performance matrix based on the RUM and a supplied performance model;
• and
• computing computational performance based on the RUM and on performance models.