Abstract: Devices and methods comprise determining an actual weather independent energy consumption value and actual weather dependent energy consumption value of a building. The devices and methods further comprise, obtaining energy simulation information from a data source. Further, an ideal weather independent energy consumption value and one or more ideal loads are generated based on the energy simulation information, building information, and total energy consumption of the building. The devices and methods further comprise determining a benchmarking score for the building using the actual weather independent energy consumption value, the actual weather dependent energy consumption value, the ideal weather independent energy consumption value, and the one or more ideal loads for managing energy consumption associated with the building.

Abstract: A system and method for optimizing energy consumption in a plurality of air handling units (AHUs) in a zone is provided. The system comprising a zone thermal unit that is configured to obtain a first set of input parameters including an internal heat gains, a surface convective loads, an intra-zone mixing, a supply air temperature, a second set of input parameters including internal moisture gains, a supply humidity ratio, and a third set of input parameters including an air contaminant concentration and an ambient contaminant concentration of the AHUs and generates a first set of output parameters including a zone temperature, a humidity ratio and an air concentration. The system further includes an optimizer that is configured to generate a second set of output parameters including an optimum combination of AHU flow rates for the AHUs based on at least one of the first set of output parameters.

Abstract: A system and method for optimizing energy consumption in a plurality of air handling units (AHUs) in a zone is provided. The system comprising a zone thermal unit that is configured to obtain a first set of input parameters including an internal heat gains, a surface convective loads, an intra-zone mixing, a supply air temperature, a second set of input parameters including internal moisture gains, a supply humidity ratio, and a third set of input parameters including an air contaminant concentration and an ambient contaminant concentration of the AHUs and generates a first set of output parameters including a zone temperature, a humidity ratio and an air concentration. The system further includes an optimizer that is configured to generate a second set of output parameters including an optimum combination of AHU flow rates for the AHUs based on at least one of the first set of output parameters.

Abstract: Devices and methods comprise determining an actual weather independent energy consumption value and actual weather dependent energy consumption value of a building. The devices and methods further comprise, obtaining energy simulation information from a data source. Further, an ideal weather independent energy consumption value and one or more ideal loads are generated based on the energy simulation information, building information, and total energy consumption of the building. The devices and methods further comprise determining a benchmarking score for the building using the actual weather independent energy consumption value, the actual weather dependent energy consumption value, the ideal weather independent energy consumption value, and the one or more ideal loads for managing energy consumption associated with the building.