Flexible Datacenter Control for Excess Renewable Power Absorption
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Solution Overview
Problem
Renewable energy generators like wind and solar face economic curtailment due to transmission congestion and grid stability issues, leading to wasted energy and increased costs for local station operators, as they are often required to reduce or stop power generation despite having excess capacity.
Innovation Solution
A flexible datacenter system that receives power from behind-the-meter sources, such as wind or solar farms, and adjusts its power usage based on economic signals, allowing it to ramp up or down quickly and utilize excess energy without incurring transmission and distribution costs, thereby reducing waste and operational losses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If renewable energy generators increase power output to meet demand, then energy production increases, but transmission congestion and grid stability issues cause curtailment and waste
Solution Approach 1:
The patent introduces a behind-the-meter power consumer system as an intermediary between the renewable energy generator and the grid. This intermediary absorbs excess power locally through computational work, preventing transmission congestion and curtailment while utilizing the excess energy productively. The system acts as a buffer that decouples the generator from grid constraints.
Solution Approach 2:
The system enables the renewable energy generator to serve itself by creating an on-site power consumer that directly utilizes excess generation. The computational work performed by the system serves the dual purpose of processing tasks and consuming excess power, making the energy self-utilizing without requiring external transmission infrastructure.
2Reliability
If local station operators reduce power generation to maintain grid stability, then grid stability is maintained, but operational costs increase due to negative market pricing
Solution Approach 1:
The patent converts the harmful effect of excess power generation (which causes negative pricing and curtailment) into a beneficial outcome. By introducing a behind-the-meter consumer, the system transforms what would be wasted energy into productive computational work, turning operational losses into value-generating activities while maintaining grid stability.
Solution Approach 2:
The system changes the operational parameters of power consumption by introducing dynamic, flexible computational work that can rapidly adjust its power intake. This allows the system to consume excess power when available and reduce consumption when grid conditions require it, optimizing both grid stability and operational efficiency.
3Loss of energy
If behind-the-meter power consumers rapidly ramp up power usage to utilize excess energy, then energy waste is reduced, but power system conditions such as power factor fluctuation may worsen
Solution Approach 1:
The patent implements a dynamic power consumption system that can rapidly adjust its power intake based on real-time generator output and grid conditions. The computational work load is dynamically scaled to match available excess power, allowing the system to respond flexibly to changing conditions while minimizing harmful fluctuations through controlled ramping rates.
Solution Approach 2:
The system incorporates feedback mechanisms that continuously monitor power generation levels, grid conditions, and system performance. This feedback enables the behind-the-meter consumer to adjust its power consumption in real-time, optimizing energy utilization while maintaining power factor stability and preventing harmful fluctuations.
Data Source
AI summary
Example embodiments for providing computation resource availability based on power-generation signals are presented herein. An embodiment may involve receive information indicative of power-generation economic signals at a first control system and identifying at least one of: (i) a change in a power-generation economic signal that exceeds a predefined threshold change, (ii) a power-generation economic signal that is below a predefined lower threshold limit, or (iii) a power-generation economic signal that is above a predefined upper threshold limit. Responsive to the identification, the embodiment involves performing at least one of: (i) adjusting a rate of power use by a flexible datacenter, and (ii) providing an indication of computation resource availability to a second control system. The flexible datacenter may include a behind-the-meter power input system, a power distribution system, and computing systems configured to receive power from the behind-the-meter power input system via the power distribution system.