SYSTEMS AND METHODS FOR ALLOCATION OF RENEWABLE ENERGY CAPACITY
Systems and methods for allocation of renewable energy capacity are disclosed. An example transaction-enabling system may include a machine having at least one of a core task requirement, an energy storage task requirement, a data storage task requirement, or a networking task requirement. The system may further include a controller, the controller including a resource requirement circuit to determine an amount of energy for the machine to service at least one of the core task requirement, the energy storage task requirement, the data storage task requirement, or the networking task requirement; and a resource distribution circuit to allocate a delivery of renewable energy from at least one renewable energy system in response to the determined amount of energy.
1 . A transaction-enabling system, comprising:
a machine having at least one of a core task requirement, an energy storage task requirement, a data storage task requirement, or a networking task requirement;
a controller, comprising:
a resource requirement circuit structured to determine an amount of energy for the machine to service at least one of the core task requirement, the energy storage task requirement, the data storage task requirement, or the networking task requirement; and
a resource distribution circuit structured to allocate a delivery of renewable energy from at least one renewable energy system in response to the determined amount of energy.
2 . The system of claim 1 , wherein the resource distribution circuit comprises a machine learning circuit structured to adaptively improve a utilization of the renewable energy for each of the tasks of the machine.
3 . The system of claim 2 , wherein adaptively improving the utilization of the renewable energy comprises improving a resource utilization or a resource performance.
4 . The system of claim 1 , wherein the at least one renewable energy system includes at least one system selected from a group consisting of: a wind farm, a solar source, a hydroelectric source, a biomass source, hydrogen fuel cells, or a geothermal source.
5 . The system of claim 1 , further comprising a resource market circuit structured to access an energy market, wherein the resource distribution circuit is further structured to execute an aggregated transaction on the energy market.
6 . The system of claim 5 , wherein the aggregated transaction is based at least in part on the determined amount of energy for the machine to service at least one of the core task requirement, the data storage task requirement, and the networking task requirement.
7 . The system of claim 5 , further comprising a market forecasting circuit structured to predict a forward market price of energy on a forward energy market.
8 . The system of claim 7 , wherein the resource distribution circuit is further structured to allocate the delivery of renewable energy from at least one renewable energy system in response to the predicted forward market price.
9 . The system of claim 7 , wherein the resource market circuit is further structured to execute the aggregated transaction on the energy market in response to the predicted forward market price.
10 . The system of claim 2 , wherein the resource distribution circuit is further structured to interpret historical external data from at least one external data source, and to further adaptively improve the utilization of the renewable energy in response to the historical external data.
11 . The system of claim 1 , wherein the controller is structured to automatically purchase energy credits in a spot market, and wherein the machine automatically allocates energy capacity among the core task requirement, the energy storage task requirement, the data storage task requirement, and the networking task requirement, in response to the purchased energy credits.
12 . The system of claim 7 , further comprising a forward resource market circuit structured to execute a second aggregated transaction on the forward energy market, wherein the second aggregated transaction is based at least in part on the determined amount of energy for the machine to service the task requirements, a renewable energy capacity of the renewable energy system, and the predicted forward market price of energy.
13 . The system of claim 12 , wherein the resource distribution circuit is further structured to provide resource delivery commands to the at least one renewable energy system to implement an improvement of allocation in delivery of the energy from the at least one renewable energy system in response to the determined amount of energy.
14 . A method, comprising:
determining an amount of an energy for a machine to service at least one of a core task requirement, an energy storage task requirement, a data storage task requirement, or a networking task requirement; and
allocating a delivery of renewable energy from at least one renewable energy system in response to the determined amount of energy.
15 . The method of claim 14 , further comprising adaptively improving a utilization of the renewable energy.
16 . The method of claim 14 , wherein the at least one renewable energy system includes at least one system selected from a group consisting of: a wind farm, a solar source, a hydroelectric source, a biomass source, hydrogen fuel cells, or a geothermal source.
17 . The method of claim 14 , further comprising:
accessing an energy market; and
executing an aggregated transaction on the energy market in response to the allocated delivery of the renewable energy.
18 . The method of claim 17 , further comprising predicting a forward market price of energy in a forward energy market, and executing the aggregated transaction on the energy market further in response to the predicted forward market price.
19 . The method of claim 15 , further comprising interpreting historical external data from at least one external data source, and further adaptively improving the utilization of the renewable energy in response to the historical external data.
20 . The method of claim 14 , further comprising automatically purchasing energy credits in a spot market, and allocating energy capacity among the core task requirement, the energy storage task requirement, the data storage task requirement, and the networking task requirement, further in response to the purchase of energy credits.
21 . The method of claim 18 , further comprising executing a second aggregated transaction on the forward energy market, wherein the second aggregated transaction is based at least in part on the determined amount of energy for the machine to service the task requirements, a renewable energy capacity of the renewable energy system, and the predicted forward market price of energy.
22 . The method of claim 21 , further comprising providing resource delivery commands to the at least one renewable energy system to implement an improvement of allocation in delivery of the energy from the at least one renewable energy system in response to the determined amount of energy.