Turbine Backup Power Layout for Space-Constrained Data Centers
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Solution Overview
Problem
Traditional data center backup power systems, particularly diesel-powered generators, require significant space and restrict data center expansion, and are not efficiently monetizable by providing power to the utility grid.
Innovation Solution
A backup power system utilizing a turbine plant that consolidates power generation into a single location, combining with uninterruptible power supplies (UPS) and generators to provide backup power during outages, with the option to generate electricity for both the data center and the utility grid.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional diesel-powered generators are distributed throughout the data center to provide backup power, then reliability of backup power is improved, but the space required and restriction on data center expansion increases
Solution Approach 1:
The backup power system is segmented into multiple independent generator modules, each capable of providing backup power to specific zones or critical loads. This modular approach maintains reliability through distribution while reducing total space requirements compared to traditional centralized systems.
Solution Approach 2:
The generator modules are designed to serve multiple functions: providing backup power during outages, supporting peak loads during normal operation, and potentially exporting surplus power to the utility grid. This multi-functionality reduces the need for dedicated backup power infrastructure, thereby reducing space requirements.
2Reliability
If traditional diesel-powered generators are used for backup power, then backup power capability is ensured, but the ability to monetize by providing power to the utility grid is limited
Solution Approach 1:
The generator modules are designed with dual functionality: they can operate in standby mode to provide backup power during outages, and in dispatch mode to generate electricity for the utility grid when demand is high. This versatility allows the system to both ensure backup power capability and create revenue opportunities through power sales to the utility.
Solution Approach 2:
The system dynamically switches between different operational modes (standby, dispatch, peak shaving) based on real-time conditions such as grid status, load requirements, and economic signals. This dynamic operation enables the system to adapt to varying conditions and maximize both reliability and monetization potential.
3Reliability
If multiple distributed generators are installed throughout the data center, then backup power coverage is improved, but device complexity and maintenance difficulty increase
Solution Approach 1:
The system is divided into standardized, modular generator units that can be independently installed and maintained. Each module is self-contained with integrated control systems, reducing the overall system complexity while maintaining comprehensive backup power coverage through strategic placement of fewer, more efficient modules.
Data Source
AI summary
According to one example, a system includes a backup power system for providing backup power to all or a portion of a data center. The backup power system includes a turbine plant that has one or more turbines, and further includes one or more uninterruptible power sources. Following a power outage to all or a portion of the data center, the one or more uninterruptible power sources may provide the backup power to all or a portion of the data center, and the one or more turbines of the turbine plant may start a start up process. Following the one or more turbines finishing the start up process, the turbine plant may provide the backup power to all or a portion of the data center.