Generator Load Shedding Control for Fuel-Limited Facility Backup
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Solution Overview
Problem
Existing power management systems for facilities with generators struggle to maximize generator runtime during outages due to limited fuel capacity and varying electrical system power consumption, leading to unpredictable and potentially insufficient power supply, especially in critical industries like hospitals and data centers.
Innovation Solution
A system that includes a generator connected to a fuel tank with a gauge, which calculates initial and actual run times by analyzing load information and selectively manages power distribution among load groups to optimize fuel efficiency, allowing for remote control and load shedding to extend generator operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If a generator is used to supply power during grid failures, then continuous power supply is achieved, but the generator stops running when fuel is exhausted
Solution Approach 1:
The system dynamically adjusts generator runtime by selectively shedding non-critical loads based on fuel levels and priority classifications. The controller continuously monitors fuel quantity and modifies power distribution in real-time, transitioning from static to dynamic load management to extend operational duration.
Solution Approach 2:
The electrical system is segmented into multiple load groups with different priority levels (critical, non-critical, optional). This segmentation allows the controller to selectively maintain power to essential loads while shedding non-essential ones, thereby extending generator runtime during fuel constraints.
2Reliability
If all loads are powered simultaneously, then complete power supply is provided, but fuel consumption increases reducing runtime
Solution Approach 1:
The system applies partial action by selectively powering only critical and essential loads rather than all loads simultaneously. The controller determines which load groups to maintain based on fuel availability and priority, providing sufficient power for essential operations while conserving fuel for extended runtime.
Solution Approach 2:
The system changes operational parameters by dynamically adjusting which load groups receive power based on fuel levels, time of day, and criticality assessments. This parameter modification allows the system to optimize between reliability and runtime by shifting power allocation rather than maintaining constant full-load operation.
3Productivity
If the system monitors and manages loads selectively, then fuel efficiency is optimized, but system complexity increases
Solution Approach 1:
The controller automatically performs load management decisions based on pre-configured priority levels and real-time fuel status, eliminating the need for continuous manual intervention. The system self-adjusts power distribution by monitoring fuel quantity and automatically shedding or restoring loads according to established protocols, reducing operational complexity while maintaining fuel efficiency.
Data Source
AI summary
A system for controlling power in a facility having an electrical system including a generator and an associated fuel tank. The fuel tank provides fuel to the generator and has a gauge indicating remaining fuel. The generator is electrically connected to the electrical system. A first power consuming device imposes a first load connected to the electrical system of the facility and second power consuming device imposes a second load connected to the electrical system of the facility. The system receives information related to the loads and calculates an initial estimated run time of the generator given the remaining quantity of fuel and information related to the first load and information related to the second load. The system selectively removes the second load in a simulation and calculates a second run time of the generator given the remaining quantity of fuel and information related to the first load.


