SYSTEMS AND METHODS FOR ALLOCATION OF RENEWABLE ENERGY CAPACITY FOR A FLEET OF MACHINES

Abstract

Systems and methods for allocation of renewable energy capacity for a fleet of machines are disclosed. An example transaction-enabling system may include a fleet of machines each having an energy consumption task requirement, wherein at least a subset of the fleet of machines each comprises a renewable energy capacity. The system may further include a controller including a resource requirement circuit to determine an amount of energy for each of the machines to service the energy consumption task requirement for each corresponding machine, and a resource distribution circuit to allocate a delivery of energy from an aggregated renewable energy capacity of the subset of the fleet of machines in response to the determined amount of energy for each of the machines to service the energy consumption task requirement.

Claims

1. A transaction-enabling system, comprising: a fleet of machines each having an energy consumption task requirement, wherein at least a subset of the fleet of machines each comprises a renewable energy capacity; and a controller, comprising: a resource requirement circuit structured to determine an amount of energy for each of the machines to service the energy consumption task requirement for each corresponding machine; and a resource distribution circuit structured to allocate a delivery of energy from an aggregated renewable energy capacity of the subset of the fleet of machines in response to the determined amount of energy for each of the machines to service the energy consumption task requirement.

2. The system of claim 1, wherein the resource distribution circuit further comprises a machine learning circuit structured to adaptively improve a utilization of the aggregated renewable energy capacity for the energy consumption tasks for each corresponding machine.

3. The system of claim 2, wherein adaptively improving a utilization of the renewable energy capacity comprises improving a resource utilization or a resource performance.

4. The system of claim 3, wherein the resource performance is selected from the list consisting of: a total consumption of one or more resources, an aggregate cost of operation of the fleet of machines, an aggregate output volume of the fleet t of machines, an aggregate quantity of output for operation of the fleet of machines, and an aggregate quality of output for operation of the fleet of machines.

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 each of the machines to service the energy consumption task requirement or the renewable energy capacity.

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, 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 each of the machines to service the energy consumption task requirement, the renewable energy capacity, or the predicted forward market price of energy.

9. The system of claim 1, further comprising: wherein the resource distribution circuit is further structured to determine a fleet outcome value comprising at least one of: a fleet output value, a fleet resource utilization value, a fleet resource performance value, or a fleet cost operation value; and wherein the controller further comprises a continuous improvement circuit structured to adaptively improve the allocation of delivery of energy from the aggregated renewable energy capacity in response to the fleet outcome value.

10. The system of claim 9, wherein the resource distribution circuit is further structured to implement the improvement of allocation in delivery of the energy from the aggregated renewable energy capacity by adjusting the delivery of energy from individual machines of the at least a subset of the fleet of machines.

11. The system of claim 10, wherein the resource distribution circuit is further structured to determine a resource transferability value between at least two machines of the fleet of machines, and to implement the improvement of allocation in delivery of energy from the aggregated renewable energy capacity by further adjusting the delivery of energy from the aggregated renewable energy capacity of the subset of the fleet of machines in response to the resource transferability value.

12. A method, comprising: determining an amount of an energy resource for each of machine of a fleet of machines to service an energy consumption task requirement for each corresponding machine of the fleet of machines, wherein at least a subset of the fleet of machines each comprises a renewable resource capacity; and allocating a delivery of energy from an aggregated renewable energy capacity of the subset of the fleet of machines to each of the machines of the fleet of machines in response to the determined amount of the energy resource.

13. The method of claim 12, further comprising adaptively improving a utilization of the aggregated renewable energy capacity.

14. The method of claim 13, wherein improving the utilization of the renewable energy capacity comprises improving a resource performance selected from the list consisting of: a total consumption of one or more resources, an aggregate cost of operation of the fleet of machines, an aggregate output volume of the fleet of machines, an aggregate quantity of output for operation of the fleet of machines, and an aggregate quality of output for operation of the fleet of machines.

15. The method of claim 12, further comprising: accessing an energy market; and executing an aggregated transaction on the energy market in response to the aggregated renewable energy capacity.

16. The method of claim 15, further comprising executing the aggregated transaction on the energy market further in response to the determined amount of the energy resource.

17. The method of claim 12, further comprising predicting a forward market price of energy in a forward energy market.

18. The method of claim 17, further comprising executing an aggregated transaction on the forward energy market, wherein the aggregated transaction is based at least in part on the determined amount of the energy resource for each of the machines to service the energy consumption task requirement, the aggregated renewable energy capacity, and the predicted forward market price of energy.

19. The method of claim 12, further comprising: determining at least one fleet outcome value comprising a fleet output value, a fleet resource utilization value, a fleet resource performance value, or a fleet cost operation value; and adaptively improving the allocation of delivery of energy from the aggregated renewable energy capacity in response to the fleet outcome value.

20. The method of claim 12, further comprising: determining a resource transferability value between at least two machines of the fleet of machines; and allocating the aggregated renewable resource capacity based on the resource transferability value.