AI DataCenter Law
INDEPENDENT RESEARCH · LAW / ENERGY / INFRASTRUCTUREUS × CHINA   /   FIELDNOTES No. 01

SHARED TOPICS / RESEARCH ATLAS

Environment & efficiency

One question, across law, projects, contracts and research.

New evidence · 19 October 2026

LAW

30 documents
United States · 1.1.15

10 U.S.C. § 2921

United States · 1.1.17

DOE emergency order on PJM backup resources

United States · 1.1.18

Federal Power Act jurisdiction, rates, adequacy, emergency authority and review

United States · 1.1.22

Guides for the Use of Environmental Marketing Claims

United States · 1.1.23

Generation Attribute Tracking System Operating Rules

United States · 1.1.27

Cooling Water Efficiency Opportunities for Federal Data Centers

United States · 1.4.1

Texas S.B. 6 large-load statute

United States · 1.5.1

Data Centers in Virginia

China · 2.1.1

Classified Management Catalog for Environmental Impact Assessment of Construction Projects (2021 Edition)

China · 2.1.2

Measures for Public Participation in Environmental Impact Assessment

China · 2.2.1

Energy Law of the People's Republic of China

China · 2.2.5

Power Load Management Measures (2023)

China · 2.2.8

Notice on Orderly Development of Single-User Green-Power Direct Connection

China · 2.2.9

Notice on Orderly Development of Multi-User Green-Power Direct Connection

China · 2.2.10

Implementation Rules for Renewable-Energy Green Electricity Certificates (Trial)

China · 2.2.11

Notice on GEC issuance for non-public-grid renewable projects

China · 2.2.12

Special Action Plan for Green and Low-Carbon Development of Data Centers

China · 2.2.13

Implementation Opinions on East Data–West Compute and the National Integrated Computing Network

China · 2.2.14

Action Plan for High-Quality Development of Computing Infrastructure

China · 2.2.15

Maximum allowable values of energy efficiency and energy efficiency grades for data centers

China · 2.2.16

Official consultation page for the data-center efficiency-standard revision

China · 2.2.17

Technical specification for trusted evaluation of carbon efficiency of computing for data centers

China · 2.2.18

Measures for Energy Conservation Review and Carbon-Emissions Evaluation of Fixed-Asset Investment Projects

China · 2.2.27

Notice issuing the Basic Rules for the Medium- and Long-Term Electricity Market

China · 2.4.1

Beijing Provisions on Strengthening Energy Review of Data-Center Projects

China · 2.5.1

Notice issuing Measures to Promote Green, High-Quality Development of Data Centers in the Beijing Economic-Technological Development Area

China · 2.6.1

Fuzhou public-complaint transfer and inspected-entity disposition table, Batch 15

China · 2.7.1

Acceptance notice for the EIA report form for the Gui'an Huawei Cloud Data Center AZ3 Machang Area Phase I 220 kV substation project (nuclear and radiation)

China · 2.9.1

Public notice of social-stability risk assessment for the 330 kV substation and export line of the Datang Zhongwei Cloud Base Data Center green-power supply 500 MW wind project

China · 2.10.2

Public notice of production-construction-project water-and-soil-conservation plan approval results, July 2026

PROJECT

7 documents
United States · 1.1.2

Microsoft / Constellation Crane Clean Energy Center

United States · 1.3.1

Google The Dalles Data Center

China · 2.1.1

Alibaba Zhangbei Miaotan Data Center

China · 2.2.1

Zhongjin Wulanchabu Zero-Carbon Compute Base

China · 2.3.2

Chindata Huailai / Taihang Campus

China · 2.3.3

China Telecom Qingyang Intelligent-Compute Center

China · 2.3.4

Tencent Qingyuan Qingxin Cloud Data Center

CONTRACT

7 documents
United States · 1.4.1

SEI 600+ MW power-equipment rental agreement

United States · 1.5.3

TotalEnergies–Google two 15-year solar PPAs

United States · 1.6.5

DTE Electric-Green Chile Ventures 1,383 MW primary supply package (Oracle-guaranteed)

China · 2.3.1

GDS–China Yangtze Power 2021 hydropower direct-power procurement

China · 2.3.2

VNET–CGN Solar 2023 green-power purchase agreement with five-year supply-guarantee clause

China · 2.3.3

SenseTime interprovincial green-power procurement

China · 2.6.1

VNET–Shandong Hi-Speed renewable-and-compute strategic framework

ACADEMIC

29 documents
United States · 1.2.1

The Law of Energy Abundance

United States · 1.3.1

Cutting the Electric Bill for Internet-Scale Systems

United States · 1.3.4

Flexible data centers reduce power system costs but can increase emissions

United States · 1.4.1

United States Data Center Energy Usage Report

United States · 1.4.2

2024 United States Data Center Energy Usage Report

United States · 1.5.1

Environmental Burden of United States Data Centers in the Artificial Intelligence Era

United States · 1.5.2

Clouds on the Horizon: An Integrative Review of Data Centers and Local Governance in the United States

United States · 1.5.3

The environmental footprint of data centers in the United States

United States · 1.5.4

The water use of data center workloads: A review and assessment of key determinants

United States · 1.9.1

Power Hungry Processing: Watts Driving the Cost of AI Deployment?

China · 2.2.1

Analysis of Data-Center Carbon-Reduction Benefits in the Context of ‘East Data, West Computing’

China · 2.2.2

Greening China’s Digital Economy: Exploring the Contribution of the East–West Computing Resources Transmission Project to CO2 Reduction

China · 2.2.3

The ‘Eastern Data and Western Computing’ Initiative in China Contributes to Its Net-Zero Target

China · 2.2.4

Decarbonizing Data Centers Through Regional Bits Migration: A Comprehensive Assessment of China's ‘Eastern Data, Western Computing’ Initiative and Its Global Implications

China · 2.2.5

Carbon Emissions Flow and Inequality Embodied in Cross-Regional Computing-Power Transfer in China

China · 2.3.1

Coordinated Operation of Data Centers and Power Systems in the Context of the Energy Internet (I): Data-Center Energy-Consumption Models

China · 2.3.2

Optimization Strategy for Spatiotemporal Cooperative Operation of Multiple Data Centers Considering Load-Response Characteristics

China · 2.4.1

A New Indicator for a Fair Comparison of Data-Center Energy Performance

China · 2.4.2

Prediction of Overall Energy Consumption of Data Centers in Different Locations

China · 2.4.3

Data-Center Energy-Efficiency Cases and Energy-Saving Operation

China · 2.5.1

Energy Consumption and Energy-Saving Analysis of Data-Center Air-Conditioning Systems in Typical Chinese Cities

China · 2.6.1

Optimization of Computing-Power and Electricity Synergy Considering Diverse Green-Electricity Consumption Modes and Spatiotemporal Flexibility

China · 2.7.5

Comparison and Optimization Paths for Computing–Electricity Synergy in Typical Demonstration Zones: The Cases of Ulanqab and Qingyang

China · 2.7.6

Net electricity savings from artificial intelligence depend on deployment efficiency in China’s power system

Global & comparative · 3.1.2

Carbon-Aware Computing for Datacenters

Global & comparative · 3.2.1

Worldwide electricity used in data centers

Global & comparative · 3.2.2

Recalibrating global data center energy-use estimates

Global & comparative · 3.2.3

The growing energy footprint of artificial intelligence

Global & comparative · 3.3.1

A net-grid-benefit test for interconnecting AI data centres

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