Abstract: The invention teaches a system and method for reducing energy consumption in commercial buildings. The invention provides development of certain mechanical heat profiles and use of such profiles in an automated optimization method. Outputs communicate with the building management system of the commercial building, and regulate the heating system during a season when the building activates the heating system. Various embodiments are taught.

Abstract: The invention teaches a system and method for reducing energy consumption in commercial buildings. The invention provides development of certain mechanical heat profiles and use of such profiles in an automated optimization method. Outputs communicate with the building management system of the commercial building, and regulate the heating system during a season when the building activates the heating system. Various embodiments are taught.

Abstract: The invention teaches a system and method for reducing energy consumption in commercial buildings. The invention provides development of certain mechanical cooling profiles and use of such profiles in an automated optimization method. Outputs communicate with the building management system of the commercial building, and regulate the cooling system during a season when the building activates the cooling system. Various embodiments are taught.

Abstract: The invention provides a method to reduce the thermal energy used in a commercial building by use of thermal parameters which are derived from readily-available data both internal and external to the building. By deriving a statistical relationship for each of the OFVR—Overnight Forced Ventilation Rate—and DFAR—day-time forced air replacement—, based on the weather forecast, the invention provides controlling the time and duration for which the mechanical cooling system is to be turned off or disabled from supplying chilled water to the ventilation system, which in turn, supplies tempered fresh air to some of all of a selected commercial building.

Abstract: This invention teaches a method of controlling the heating system of a commercial building, to reduce the thermal energy consumed by use of thermal parameters which are derived from readily-available data both internal and external to the building. By deriving a statistical relationship for each of the Solar Gain Rate and Day-time Natural Cool-down Rate from observed data, then based on the weather forecast, it is possible to determine if, when and for how long the mechanical heating system can be turned off or disabled from supplying heat to some of all of the building in question.

Abstract: The invention provides a method to reduce the thermal energy used in a commercial building by use of thermal parameters which are derived from readily-available data both internal and external to the building. By deriving a statistical relationship for each of the OFVR—Overnight Forced Ventilation Rate—and DFAR—day-time forced air replacement—, based on the weather forecast, the invention provides controlling the time and duration for which the mechanical cooling system is to be turned off or disabled from supplying chilled water to the ventilation system, which in turn, supplies tempered fresh air to some of all of a selected commercial building.

Abstract: This invention teaches a method of controlling the heating system of a commercial building, to reduce the thermal energy consumed by use of thermal parameters which are derived from readily-available data both internal and external to the building. By deriving a statistical relationship for each of the Solar Gain Rate and Day-time Natural Cool-down Rate from observed data, then based on the weather forecast, it is possible to determine if, when and for how long the mechanical heating system can be turned off or disabled from supplying heat to some of all of the building in question.

Abstract: The invention provides a method for improved building energy usage reduction by computer automation of optimized plant operation times and sub-hourly building energy forecasting to determine plant faults. The invention provides a computer system to derive the NTL, mechanical heat-up (MHL) and mechanical cool-down (MCL) lags and in conjunction with a readily available interval weather forecast, the system can output various signals to indicate optimized start and stop times for heating and cooling equipment. The algorithm to calculate the 15-minute energy forecast is used to indicate out-of-control conditions in the operation of the plant.

Abstract: The invention teaches a system and method for reducing energy consumption in commercial buildings. The invention provides development of certain mechanical cooling profiles and use of such profiles in an automated optimization method. Outputs communicate with the building management system of the commercial building, and regulate the cooling system during a season when the building activates the cooling system. Various embodiments are taught.

Abstract: The invention teaches a system and method for reducing energy consumption in commercial buildings. The invention provides development of certain mechanical heat profiles and use of such profiles in an automated optimization method. Outputs communicate with the building management system of the commercial building, and regulate the heating system during a season when the building activates the heating system. Various embodiments are taught.

Abstract: The invention provides an improved method for determining the natural thermal lag (NTL) of a building, where the improvement includes using the 15 minute interval energy usage data for the building, and data the external temperature to determine the NTL. This improved method has the advantage of being independent of any need to acquire data regarding internal temperature of the building in question.

Abstract: The invention provides a method for improved building energy usage reduction by computer automation of optimized plant operation times and sub-hourly building energy forecasting to determine plant faults. The invention provides a computer system to derive the NTL, mechanical heat-up (MHL) and mechanical cool-down (MCL) lags and in conjunction with a readily available interval weather forecast, the system can output various signals to indicate optimized start and stop times for heating and cooling equipment. The algorithm to calculate the 15-minute energy forecast is used to indicate out-of-control conditions in the operation of the plant.

Abstract: The invention provides an improved method for determining the natural thermal lag (NTL) of a building, where the improvement includes using the 15 minute interval energy usage data for the building, and data the external temperature to determine the NTL. This improved method has the advantage of being independent of any need to acquire data regarding internal temperature of the building in question.

Abstract: The invention provides an improved method for determining the mechanical heat-up lag of a building. The time lag for the heating system to reach its set point, which is referred to as the Mechanical Heat-up Lag (MHL) is dependent on the natural thermal lag (NTL) of a building. The invention provides a determination of the MHL as it relates to the NTL. The invention is very useful in reducing energy usage in commercial buildings when used in combination with a short term weather forecast.

Abstract: The invention provides a method for optimizing energy usage in commercial buildings. Energy consumption data is used, along with occupant data, to determine appropriate adjustments in energy, and for ongoing monitoring and reporting of energy savings. According to the inventive method, the building of interest is characterized, including calculation of lag parameters—temperature lag, solar gain lag, solar strength lag, and, in some instances, humidity lag, which inform a thermal energy equation particular to the building of interest. Mechanical heating lag and mechanical cooling lag are used for on-going energy use optimization. An outside temperature index may also be used. The resulting accuracy of the thermal energy equation is over 90% for both heat and chilling input, once the building has been optimized according to the inventive method.

Abstract: The invention provides a method for optimizing energy usage in commercial buildings. Energy consumption data is used, along with occupant data, to determine appropriate adjustments in energy, and for ongoing monitoring and reporting of energy savings. According to the inventive method, the building of interest is characterized, including calculation of lag parameters—temperature lag, solar gain lag, solar strength lag, and, in some instances, humidity lag, which inform a thermal energy equation particular to the building of interest. Mechanical heating lag and mechanical cooling lag are used for on-going energy use optimization. An outside temperature index may also be used. The resulting accuracy of the thermal energy equation is over 90% for both heat and chilling input, once the building has been optimized according to the inventive method.

Abstract: The invention provides a method and system for optimizing energy usage (where “energy” means electric, gas, and other energy sources) in commercial buildings. In one embodiment of the invention, historical energy consumption data is used, along with occupant data, to determine appropriate adjustments in energy usage. The invention further provides for ongoing monitoring and reporting of energy savings. A system according to the invention implements a process which consists of six stages of analysis: Usage/Energy Use Mapping and data collection, Occupant Comfort Analysis (aka Energy Zoning), Load Matching/Plant scheduling, Occupant Comfort Data Collection/Building Characterization, Design Iterative Building Energy Strategies and Energy Usage/Savings Reports/Detailed Advice Reports.