Flexibility-aware framework for efficient planner-initiated siting of data center

Explosive growth in energy-intensive AI data centers is outstripping the pace of power grid interconnection and transmission expansion. While operational flexibility has been proposed to mitigate this stress, existing processes are often reactive and evaluate projects only after they enter a multi-year interconnection queue. To address this, we introduce a planner-initiated siting framework that integrates (i) reliability-gated screening, (ii) system-wide market-impact assessment under standardized flexibility envelopes (firm, pause, and shift), and (iii) entropy-weighted multi-criteria scoring to produce ranked, pre-certified catalogues of interconnection-ready locations. Applied to a synthetic 2000-bus Texas power system, the framework demonstrates that operational flexibility expands the siting frontier by 9-17% at 1 GW and 19-21% at 2 GW compared to firm operation. Median all-hour average prices remain essentially unchanged ($24.32/MWh for the 2 GW cases), and the shift envelope attenuates peak-hour price dispersion by approximately 3.4% with minimal side effects during off-peak hours. Utilizing pre-certified envelopes to bypass major transmission reinforcements, this workflow enables first energization in 12-18 months-a conservative reduction of 3.5-4 years versus the conventional 5-8 year project-led process. This technology-agnostic framework provides a proactive decision-making tool for system operators and regulators to fast-track large flexible loads while preserving grid reliability and market stability. The study presents a planner-initiated framework for siting data centers, integrating reliability screening and market-impact assessment. It expands feasible locations by 9-21% when accounting for operational flexibility and reduces interconnection time by 3.5-4 years, while maintaining stable prices and reducing peak-hour price dispersion.

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Publication Details

Journal
Nature Communications
Published
2026-05-16
DOI
https://doi.org/10.1038/s41467-026-72324-9
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
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article

Flexibility-aware framework for efficient planner-initiated siting of data center

Dongjoo Kim, Le Xie, Lin Dong
Nature Communications
Software-Defined Networks and 5G
article

Flexibility-aware framework for efficient planner-initiated siting of data center

Dongjoo Kim, Le Xie, Lin Dong
article en

Abstract

Explosive growth in energy-intensive AI data centers is outstripping the pace of power grid interconnection and transmission expansion. While operational flexibility has been proposed to mitigate this stress, existing processes are often reactive and evaluate projects only after they enter a multi-year interconnection queue. To address this, we introduce a planner-initiated siting framework that integrates (i) reliability-gated screening, (ii) system-wide market-impact assessment under standardized flexibility envelopes (firm, pause, and shift), and (iii) entropy-weighted multi-criteria scoring to produce ranked, pre-certified catalogues of interconnection-ready locations. Applied to a synthetic 2000-bus Texas power system, the framework demonstrates that operational flexibility expands the siting frontier by 9-17% at 1 GW and 19-21% at 2 GW compared to firm operation. Median all-hour average prices remain essentially unchanged ($24.32/MWh for the 2 GW cases), and the shift envelope attenuates peak-hour price dispersion by approximately 3.4% with minimal side effects during off-peak hours. Utilizing pre-certified envelopes to bypass major transmission reinforcements, this workflow enables first energization in 12-18 months-a conservative reduction of 3.5-4 years versus the conventional 5-8 year project-led process. This technology-agnostic framework provides a proactive decision-making tool for system operators and regulators to fast-track large flexible loads while preserving grid reliability and market stability. The study presents a planner-initiated framework for siting data centers, integrating reliability screening and market-impact assessment. It expands feasible locations by 9-21% when accounting for operational flexibility and reduces interconnection time by 3.5-4 years, while maintaining stable prices and reducing peak-hour price dispersion.

Nature Communications
Harvard University (US), Dana-Farber/Harvard Cancer Center (US), Texas A&M University (US)
Openalex Percentile: Top 3%
Software-Defined Networks and 5G
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