Systems and methods for optimizing energy and resource management for building systems

A system for optimizing building energy usage, the system comprising

• a plurality of data sources containing a plurality of input values associated with a building or plurality of buildings;
• a forecasting and optimization engine operative to:
• construct a thermal and an electrical load model based on the inputs;
• construct an overall energy model, the overall energy model being based on the thermal and electrical load models;
• and
• generate a plurality of demand models based on the constructed energy model;
• an optimization engine operative to optimize the demand models using complex multivariate optimization techniques, wherein optimizing is based on usage data and energy rules;
• a graphical user interface operating on a client device operative to display recommendations based on the optimized model or generating real and an interface to building control systems operative to transmit complementary control instructions based on the optimized model, the determination based on client preferences.

A method for optimizing building energy usage, the method comprising

• receiving a plurality of input values associated with a building or plurality of buildings;
• constructing a thermal and an electrical load model based on the inputs;
• constructing an overall energy model, the overall energy model being based on the thermal and electrical load models;
• generating a plurality of demand models;
• optimizing the demand models using complex multivariate optimization techniques, wherein optimizing is based on usage data and energy rules;
• and
• displaying recommendations based on the optimized model or generating real-time, complementary control instructions based on the optimized model, the determination based on client preferences.

A method for optimizing building energy usage, the method comprising

• receiving a plurality of input values associated with a building or plurality of buildings;
• constructing a thermal model based on the inputs;
• constructing an overall energy model, the overall energy model being based on the thermal model;
• generating a plurality of demand models, the demand models representing a combination of subsystems wherein the combination of subsystems is selected from one of:
• heating and cooling and lighting;
• heating and cooling, lighting and water;
• heating and cooling, water;
• heating and cooling, ventilation, water;
• heating and cooling, ventilation, lighting and water;
• heating and cooling, ventilation, lighting, plug load;
• heating and cooling, ventilation, lighting, plug load, water;
• water;
• heating and cooling, ventilation, dedicated data center EMS;
• or all electrical demand across all building subsystems;
• optimizing the demand models using complex multivariate optimization techniques, wherein optimizing is based on usage data and energy rules;
• and
• displaying recommendations based on the optimized model or generating real-time, complementary control instructions based on the optimized model, the determination based on client preferences.