Local Power Flow Control for Biogas Generator and BESS EV Charging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Power generation centers face challenges in responding to transient changes in loads or power generation on the grid, particularly with renewable energy sources like biogas-fueled generators, which are affected by environmental conditions, leading to volatility and inefficiencies, and landfills with irregular biogas production are often underutilized due to these challenges.
Innovation Solution
A system comprising a generator set, battery energy storage system (BESS), electric vehicle charging station, and controller that dynamically balances power loads by connecting and disconnecting sub-loads based on anticipated power output, using a controller to manage electrical contactors and sensors for efficient energy distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If biogas-fueled generators are used to power data centers, then renewable energy utilization is improved, but power output stability deteriorates due to environmental dependencies and irregular biogas production
Solution Approach 1:
The system dynamically adjusts the operational state of sub-loads based on real-time power output conditions. The controller continuously monitors generator output and selectively connects or disconnects sub-loads to match supply with demand, allowing the system to adapt to variable biogas production while maintaining operational reliability
Solution Approach 2:
The data center load is divided into multiple independent sub-loads that can be selectively connected or disconnected. This segmentation allows the system to portion the total load according to available power generation, enabling stable operation even when overall power output fluctuates due to environmental factors or irregular biogas production
2Productivity
If sub-loads are selectively connected to balance generator to load, then power distribution efficiency is improved, but system complexity increases due to controller and electrical contactor management
Solution Approach 1:
The system implements self-service through automated controller management of electrical contactors. The controller autonomously monitors power generation levels and automatically connects or disconnects appropriate sub-loads without manual intervention, achieving efficient power distribution while minimizing operational complexity through automation
Solution Approach 2:
The system employs feedback mechanisms where the controller continuously monitors generator power output and uses this information to make real-time decisions about sub-load connectivity. This closed-loop control enables efficient power distribution by matching supply with demand while automating the complexity of system management
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system enhances grid stability and efficiency by predicting power output, reducing methane flaring, and optimizing energy use, particularly in data centers with blockchain operations, ensuring stable power supply and sustainability.
Implementation Method 1
battery energy storage system (BESS)
Implementation Method 2
biogas-fueled generators
Implementation Method 3
generator set
Data Source
AI summary
In one embodiment, the disclosed technology involves a system having a generator set comprising a first engine and an output terminal, a battery energy storage system (BESS) coupled to the output terminal of the generator set, one or more electric vehicle (EV) charging stations coupled to the generator set and each structured to couple with an electric vehicle, and a controller comprising a processor and a memory storing one or more sequences of computer-readable instructions which, when executed by the processor, cause the processor to execute monitoring one or more electrical conditions of the BESS, EV charging stations, and generator set, determining an optimized power flow based on the one or more electrical conditions and one or more pre-programmed objectives, and controlling one or more elements of the BESS, EV charging stations, and generator set to cause electrical power flow therebetween in accordance with the optimized power flow.