Facilitating revenue generation from wholesale electricity markets based on a self-tuning energy asset model

Abstract

The apparatus, systems and methods herein facilitate generation of energy-related revenue for an energy customer of an electricity supplier. The apparatuses and methods herein can be used to generate suggested operating schedules for the energy assets that including a controllable energy asset, using an objective function. The objective function is determined based on a dynamic simulation model of the energy profile of the energy assets. The dynamic simulation model is adaptive to physical changes in the energy assets based on a parametric estimation using at least one model parameter. The model parameter is at least one of an operation characteristic of the controllable energy asset, a thermodynamic property of the energy assets, and a projected environmental condition. Energy-related revenue available to the energy customer is based at least in part on a wholesale electricity market or on a regulation market.

1 . An apparatus for determining a suggested operating schedule for at least one energy asset operated by an energy customer, the apparatus comprising:
 at least one communication interface;   at least one memory to store processing unit-executable instructions and an objective function for the at least one energy asset, wherein the at least one energy asset comprises at least one controllable energy asset, wherein the objective function facilitates a determination of the suggested operating schedule for the at least one energy asset based at least in part on data representative of model parameters, and wherein the model parameters are: (a) an operation characteristic of the at least one controllable energy asset, (b) a thermodynamic property of the at least one energy asset, (c) a projected environmental condition during time period T; and   at least one processing unit communicatively coupled to the at least one memory, wherein, upon execution of the processing unit-executable instructions, the at least one processing unit:
 A) prior to time period T, determines the suggested operating schedule based on an optimization of the objective function over time period T, 
 wherein the objective function is determined based on a dynamic simulation model of the energy profile of the at least one energy asset, a customer baseline (CBL) energy profile for the at least one energy asset, and a forecast wholesale electricity price, over time period T, associated with a wholesale electricity market, 
 wherein the dynamic simulation model is adaptive to physical changes in the at least one energy asset based on a parametric estimation using at least one of the model parameters, and 
 wherein the dynamic simulation model is trained using the data; and 
 B) controls the at least one communication interface to transmit to the energy customer the suggested operating schedule determined in A), and/or controls the at least one memory so as to store the determined suggested operating schedule, 
 wherein the operation of the at least one energy asset according to the suggested operating schedule, over a time period T, facilitates generation of energy-related revenue based at least in part on the wholesale electricity market. 
   
     
     
         2 - 33 . (canceled)