Abstract: The present disclosure provides systems and methods for managing electrical energy generated by a renewable microgrid. One or more processors of a system may store priorities for one or more consumer loads; forecast an amount of available electrical energy for a time period; allocate a first electrical energy amount to a first consumer load to a first energy limit for the time period; determine more electrical energy is forecast to be available from the RES or the ESS for the time period; identify a second consumer load of the one or more consumer loads; allocate a second electrical energy amount to the second consumer load for the time period; and direct electrical energy from the RES or the ESS to the first and second consumer loads according to the allocations.

Abstract: An apparatus includes an array of at least two solar panel modules. Each solar panel module from the at least two solar panel modules includes a photovoltaic cell and a frame from a plurality of frames. The apparatus also includes a coupler. The coupler has at least a first side and a second side that define an included angle between 0 degrees and 180 degrees. A first solar panel module from the at least two solar panel modules is affixed to the first side of the coupler and a second solar panel module from the at least two solar panel modules is affixed to the second side of the coupler, such that a predefined angle exists between a plane of the first solar panel module and a plane of the second solar panel module.

Abstract: In an embodiment, a system includes a plurality of modular generators. Each modular generator from the plurality of modular generators is configured to produce electrical power. The system further includes a plurality of modular loads. Each modular load from the plurality of modular loads is configured to consume electrical power. The system further includes a connection matrix including a plurality of controllable bridge devices and configured to selectively route electrical power from any one or more modular generators from the plurality of modular generators to any one or more modular loads from the plurality of modular loads. The connection matrix defining, at least in part, a power distribution power.

Abstract: In an embodiment, a solar array has a non-planar configuration and includes a first plurality of solar modules and a second plurality of solar modules coupled to the first plurality of solar modules. Each solar module from the first plurality of solar modules and each solar module from the second plurality of solar modules has a planar configuration and has a first side and a second side shorter than the first side. For each solar module from the first plurality of solar modules, (1) the first side of that solar module is fixedly coupled to and along a substantial entirety of the first side of a solar module from the second plurality of solar modules, and (2) the second side of that solar module is fixedly coupled to and along a substantial entirety of a side of an adjacent solar module from the first plurality of solar modules.

Abstract: An apparatus includes a solar panel assembly. The solar panel assembly includes solar panel modules. Each solar panel module includes a solar panel and a frame. Each solar panel module is mechanically coupled to at least one other solar panel module. The apparatus also includes a tray. The tray is sized and configured to removably contact a portion of a perimeter of each solar panel module from at least a subset of the solar panel modules. The tray is configured to limit a flexure of the solar panel assembly when the solar panel assembly is in contact with the tray.

Abstract: An apparatus includes first and second sets of solar panels, and an interface that rotatably couples the solar panels such that (1) an edge is defined therebetween, and (2) an angle therebetween is adjustable. The interface includes hinges at each endpoint. The solar panels and interface form a solar module configured to be disposed on an uneven surface by virtue of at least one of: (i) the solar module not including a coupler at the midpoint of the edge so that the solar panels can be positioned such that their sides are nonparallel, (ii) the second set of solar panels further being rotatable, independently of the first set of solar panels, about a rotational axis different from an axis defined by the edge, or (iii) a deformation in a frame of one of the solar panels.

Abstract: An apparatus includes a wind deflector for a solar tent array. The wind deflector includes at least a first solar module and a second solar module that are each positioned to form an apex of the solar tent array. The wind deflector includes at least one of a gable end portion configured to reduce airflow through a first area at least partially defined by the apex or a side portion configured to reduce airflow through a second area at least partially defined by a lower edge portion of the solar tent array. The gable end portion is disposed, during use, between the apex and a surface beneath the lower edge portion. The side portion of the wind deflector is disposed, during use, between the lower edge portion and the surface. The apparatus includes a substantially rigid connector configured to mechanically couple the wind deflector to the solar tent array.

Abstract: A method may include obtaining irradiance data at a first time and a second time from sensors, determining whether one or more solar modules of a plurality of networked power plants will be covered by a shadow or shade at a third time based on the irradiance data, and generating, based on the determination, a power output prediction for each power plant of the networked power plants at the third time. The method may further include receiving power delivery profiles for first and second loads, adjusting a power output of one or more power plants of the networked power plants based at least in part on the power output prediction and the power delivery profiles for the first and second loads, and allocating a combined power output of the power plants to the first and second loads based on first and second load reliability thresholds.

Abstract: The present disclosure provides systems and methods for managing electrical energy generated by a renewable microgrid. One or more processors of a system may store priorities for one or more consumer loads; forecast an amount of available electrical energy for a time period; allocate a first electrical energy amount to a first consumer load to a first energy limit for the time period; determine more electrical energy is forecast to be available from the RES or the ESS for the time period; identify a second consumer load of the one or more consumer loads; allocate a second electrical energy amount to the second consumer load for the time period; and direct electrical energy from the RES or the ESS to the first and second consumer loads according to the allocations.

Abstract: A renewable power system with a twin-configurable architecture is described. The system includes a renewable energy source (RES), an energy storage system (ESS), and at least one controllable load (CL) (e.g., AI training/datacenter). The system can serve as a baseload or semi-baseload plant for CL(s) and/or as a peaker or semi-peaker plant for an electric grid, or vice-versa, and optionally in parallel, can also provide ancillary services to the electric grid and/or to the CL(s). In certain embodiments, e.g. solar PV RES(es), the system can have capacity factors of at least about 60% and up to 100%, higher asset utilization, better economics for the RES-ESS, improved system performance, and lower energy costs as compared with known systems without a CL(s). By making load a variable, and integral part of the system, sophisticated resource allocation strategies, including AI algorithms, can be developed not previously possible with known systems lacking a CL(s).

Abstract: A method of adjusting energy delivered by a renewable energy system to an electrical grid and an energy-consuming load is disclosed. The method may comprise determining a production schedule of a renewable energy system (RES) and establishing a prioritization order between the electrical grid and the energy-consuming load. The method may further comprise setting a power receiving threshold for the electrical grid or the energy-consuming load based on the prioritization order, and adjusting the energy delivered by the RES by controlling a first amount of energy delivered to the electrical grid and a second amount of energy delivered to the energy-consuming load. A variability schedule of at least one of the first amount of energy or the second amount of energy can be amplified or dampened over a time period relative to the natural variability energy production schedule of the RES.

Abstract: A method may include obtaining irradiance data at a first time and a second time from sensors, determining whether one or more solar modules of a plurality of networked power plants will be covered by a shadow or shade at a third time based on the irradiance data, and generating, based on the determination, a power output prediction for each power plant of the networked power plants at the third time. The method may further include receiving power delivery profiles for first and second loads, adjusting a power output of one or more power plants of the networked power plants based at least in part on the power output prediction and the power delivery profiles for the first and second loads, and allocating a combined power output of the power plants to the first and second loads based on first and second load reliability thresholds.

Abstract: A renewable power system with a twin-configurable architecture is described. The system includes a renewable energy source (RES), an energy storage system (ESS), and at least one controllable load (CL) (e.g., AI training/datacenter). The system can serve as a baseload or semi-baseload plant for CL(s) and/or as a peaker or semi-peaker plant for an electric grid, or vice-versa, and optionally in parallel, can also provide ancillary services to the electric grid and/or to the CL(s). In certain embodiments, e.g. solar PV RES(es), the system can have capacity factors of at least about 60% and up to 100%, higher asset utilization, better economics for the RES-ESS, improved system performance, and lower energy costs as compared with known systems without a CL(s). By making load a variable, and integral part of the system, sophisticated resource allocation strategies, including AI algorithms, can be developed not previously possible with known systems lacking a CL(s).

Abstract: The present disclosure provides systems and methods for managing electrical energy generated by a renewable microgrid. One or more processors of a system may store priorities for one or more consumer loads; forecast an amount of available electrical energy for a time period; allocate a first electrical energy amount to a first consumer load to a first energy limit for the time period; determine more electrical energy is forecast to be available from the RES or the ESS for the time period; identify a second consumer load of the one or more consumer loads; allocate a second electrical energy amount to the second consumer load for the time period; and direct electrical energy from the RES or the ESS to the first and second consumer loads according to the allocations.

Abstract: The present disclosure provides systems and methods for flexible renewable energy power generation. The present disclosure also provides systems and methods for firming power generation from multiple renewable energy sources.

Abstract: A system for controlling power distribution between a renewable energy source (RES) that generates electrical power, a power grid, an energy storage system (ESS) coupled to and configured to store electrical power from the RES and the power grid, and a behind-the-meter (BTM) load coupled to and configured to receive electrical power from the RES, the ESS, and the power grid includes a controller. The controller includes a processor and a non-transitory computer readable storage medium comprising instructions stored thereon that, upon execution by the processor, cause the controller to determine a prioritization mode and control the flow of electrical power in the system based on the prioritization mode.

Abstract: The present disclosure provides systems and methods for serving two or more uncorrelated loads connected to a renewable energy powerplant. The uncorrelated loads comprise a power grid and one or more industrial processes. A system may comprise a renewable energy system (RES), an energy storage system (ESS), and a controller programmed to: discretize an upcoming forecast horizon into a plurality of time periods; calculate one or more metrics for sending energy generated by the first RES to: (1) the ESS, (2) the power grid, and (3) the one or more industrial processes; prioritize the: (1) ESS, (2) power grid, and (3) one or more industrial processes.

Abstract: A system for controlling power distribution between a renewable energy source (RES) that generates electrical power, a power grid, an energy storage system (ESS) coupled to and configured to store electrical power from the RES and the power grid, and a behind-the-meter (BTM) load coupled to and configured to receive electrical power from the RES, the ESS, and the power grid includes a controller. The controller includes a processor and a non-transitory computer readable storage medium comprising instructions stored thereon that, upon execution by the processor, cause the controller to determine a prioritization mode and control the flow of electrical power in the system based on the prioritization mode.

Abstract: The present disclosure provides systems and methods for managing electrical energy generated by a renewable microgrid. One or more processors of a system may store priorities for one or more consumer loads; forecast an amount of available electrical energy for a time period; allocate a first electrical energy amount to a first consumer load to a first energy limit for the time period; determine more electrical energy is forecast to be available from the RES or the ESS for the time period; identify a second consumer load of the one or more consumer loads; allocate a second electrical energy amount to the second consumer load for the time period; and direct electrical energy from the RES or the ESS to the first and second consumer loads according to the allocations.

Abstract: Methods and systems determine an energy delivery schedule for a first renewable energy power plant (REPP) and a second REPP connected to an energy grid at different points of delivery. The method includes forecasting energy production by a first REPP and a second REPP during a time period; identifying one or more possible delivery schedules for the first REPP and the second REPP; forecasting energy demand corresponding to points of delivery at the energy grid to which energy produced by the first REPP and the second REPP are provided; selecting a delivery schedule from the one or more possible delivery schedules for the first REPP and the second REPP; and sending a first control signal to the first REPP and a second control signal to the second REPP to implement the selected delivery schedule at the first REPP and the second REPP.