JANA THOMPSON
Washington's Power Paradox:
Data Center Energy Consumption and Future Grid Impacts



Data centers serve as the physical foundation of our digital economy, yet their growing energy demands are reshaping Washington State's utility landscape. This research examines the proportion of electrical load that data centers consume across Washington's utility districts, revealing significant variations in impact from minimal to almost 40% of total capacity in some regions. As cloud computing and AI accelerate, understanding these consumption patterns is critical for utilities, policymakers, and communities to plan for sustainable energy futures while balancing economic development with grid stability and climate goals.
Data Sources and Methodology
Data on utility power loads was taken directly from reports from the Washington State Department of Commerce and from public utility district documents, fully documented in the Bibliography below.
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​Calculating Maximum Power Capacity
Data on the maximum power draw of data centers in Washington State was drawn from a variety of sources, including www.baxtel.com and data specifications from the data center websites. Data centers report their power capacity, not their energy consumption: if a data center reports their power as "18 MW" (megawatts) rather than "MWh" (megawatt-hours) at their facility, this is actually reporting their power capacity, not their energy consumption over a time period. In some cases, in particular for the Microsoft hyperscale data centers in Central Washington, the only known facts I could find was the square footage from baxtel.com.
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For each type of data center, there are known types of white space ratio (the proportion of a data center's total floor area dedicated to IT equipment (servers, storage, and network devices), as opposed to support infrastructure like cooling units, power distribution systems, and operational areas. A higher white space ratio indicates more efficient use of the facility for computing purposes, Shehabi et al.: 2016). Based on this and the following factors, the maximum power usage for data centers can be estimated by their square footage:
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1. Small Data Centers (under 5,000 sq ft)
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Power Draw: 1-2 MW
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Power Density: Approximately 200-400 W/sq ft
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Sources: "Small enterprise data centers typically deploy at densities between 150-400 W/sq ft" (Koomey & Masanet, 2021); Typical server rack draws 5-15 kW; small data centers host 50-200 racks (U.S. Department of Energy, 2022)
2. Medium Data Centers (5,000-15,000 sq ft)
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Power Draw: 2-10 MW
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Power Density: Approximately 400-667 W/sq ft
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Sources: "Medium colocation facilities now regularly accommodate power densities between 300-700 W/sq ft" (Uptime Institute Annual Survey, 2023); 2020 industry survey showed colocation facilities averaging 7.3 MW with 12,000 sq ft of white space (DatacenterDynamics, 2021)
3. Large Data Centers (15,000-100,000+ sq ft)
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Power Draw: 20-50 MW
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Power Density: Approximately 500-1,000 W/sq ft
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Sources: "Large enterprise data centers deploy at average densities of 400-800 W/sq ft, with some zones exceeding 1,000 W/sq ft" (Shehabi et al., 2016); Google's data center in The Dalles, Oregon spans approximately 84,000 sq ft with reported power capacity of 35-40 MW (Google, 2021)
4. Hyperscale Data Centers (100,000+ sq ft)
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Power Draw: 50-200+ MW
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Power Density: Highly variable, 500-2,000+ W/sq ft
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Sources: "Hyperscale operators have developed new designs supporting higher densities while achieving superior power usage effectiveness" (IEA, 2022); Meta's data center in Prineville, Oregon spans 307,000 sq ft with reported power capacity of approximately 120 MW (Meta Sustainability Report, 2023)
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Based on these, I wrote a Python script to estimate the unknown power capacities for data centers. The code is available on GitHub (see the end of this document).
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Calculating Actual Power Usage
However the power capacity of a data center is not the same as its actual power consumption. This also has to be estimated per data center. One fact that could be discerned for each data center that was crucial for the calculation of power utilization: the type of data center. There are three types:
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Enterprise Data Centers: Facilities owned and operated by a single organization to support its internal IT operations and business functions. These typically range from 500-25,000+ square feet with power requirements of 1-20 MW. Source: Uptime Institute. (2023). "Annual Data Center Survey Results." Uptime Institute Intelligence.
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Colocation Data Centers: Multi-tenant facilities where customers rent space for their computing hardware while the provider manages the building, power, cooling, and security infrastructure. These facilities typically range from 10,000-100,000+ square feet with power capacities of 5-50 MW. Source: Malia and Christensen. (2019). "A Survey on Power Management Techniques for Oversubscription of Multi-Tenant Data Centers." ACM Computing Surveys (CSUR) 15(1).
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Hyperscale Data Centers: Massive, purpose-built facilities supporting major cloud providers and technology companies, exceeding 100,000 square feet with power capacities of 30-200+ MW. These employ advanced designs for efficiency and scalability to serve millions of users. Source: Masanet, et al. (2020). "Recalibrating global data center energy-use estimates." Science, 367(6481), 984-986.
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To estimate the average usage of a data center, I assumed the following:
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Enterprise Data Centers: 50-65% of maximum capacity
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Colocation Facilities: 60-70% of maximum capacity
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Hyperscale Data Centers: 65-80% of maximum capacity
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Operational Strategy:
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Data centers with good load balancing and workload management can operate closer to their maximum capacity
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Facilities with unpredictable workloads require more headroom (lower average-to-maximum ratio)
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Redundancy Requirements:
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Tier III/IV data centers with N+1 or 2N redundancy typically aim for 60% or lower average utilization to ensure capacity for failover
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Less critical facilities may operate at higher percentages
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Growth Planning:
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New data centers often start at 30-40% of maximum capacity and grow over time
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Mature facilities typically operate at higher percentages
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Seasonal Variations:
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Cooling requirements in summer can increase power draw
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Some workloads have seasonal or cyclical patterns
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According to the Uptime Institute's 2023 survey, the industry average utilization is around 65% of maximum design capacity. Google and other hyperscale operators have reported achieving higher utilization rates (70-80%) through advanced workload management and custom infrastructure designs. When utilities like Grant County PUD plan for data center loads in MWa (megawatt-average), they typically use a 65-70% factor to convert from the facility's maximum capacity to expected average consumption.
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I wrote another Python script to calculate average power usage in MWa for data centers (usage in MWa was essential as power loads for utilities are reported in MWa)
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Forecasting Future Power Loads and Usage
Unfortunately, this is more speculative. For 2021/22 and 2024, there is information available for Washington State utilities to serve as a basis for future projections. 2021/22 and 2024 estimates for data centers is drawn from information and estimates in the analysis done for the map above. Information regarding projections on data centers is drawn from the Washington State Department of Commerce and local public utility districts in Washington State. Reports from the International Energy Agency (IEA), Lawrence Berkeley National Laboratory (LBNL), and the Uptime Institute's Annual Global Data Center Survey, along with the work of Masanet et. al (2020) are used to inform projections for data center projections.
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​​​​​​The Python code that I wrote to calculate future power demands analyzes historical data points from 2021 and 2024 for both traditional utilities and data centers. It applies different growth patterns to each sector informed by the sources in the paragraph above, linear growth for utilities and exponential growth for data center, reflecting their distinct expansion trajectories. The model generates projections over a ten-year horizon with widening confidence intervals to account for increasing uncertainty over time. It visualizes these projections through three main graphs: a time-series comparison of utility versus data center power demand, cumulative growth from the 2024 baseline, and the changing proportion of total power attributed to each sector. This approach highlights the rapidly increasing share of grid capacity consumed by data centers relative to traditional utility customers, providing insights for energy infrastructure planning

Bibliography
Data centers serve as the physical foundation of our digital economy, yet their growing energy demands are reshaping Washington State's utility landscape. This research examines the proportion of electrical load that data centers consume across Washington's utility districts, revealing significant variations in impact from minimal to almost 40% of total capacity in some regions. As cloud computing and AI accelerate, understanding these consumption patterns is critical for utilities, policymakers, and communities to plan for sustainable energy futures while balancing economic development with grid stability and climate goals.
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Public Utility Data
Avista Utilities. 2025 Electric Integrated Resource Plan Progress Report. https://www.myavista.com/-/media/myavista/content-documents/about-us/our-company/irp-documents/2025/2025-draft-electric-irp-complete.pdf
Clark Public Utilities. 2020 Integrated Resource Plan. https://www.clarkpublicutilities.com/wp-content/uploads/2020/08/2020-CPU-Integrated-Resource-Plan-Adopted-and-Approved-August-4-2020.pdf
Centralia City Light. 2024 Electric Utility Resource Plan Update. https://www.cityofcentralia.com/DocumentCenter/View/3927/2024-Resource-Plan---FINAL
City of Port Angeles. Resource Plan Cover Sheet 2024. https://www.cityofpa.us/DocumentCenter/View/15372/2024_Energy-Resource-Plan
City of Richland. 2024 Resource Plan.
https://www.ci.richland.wa.us/home/showpublisheddocument/16606/638600169457600000
City of Seattle. 2024 Integrated Resource Plan (IRP) Progress Report. https://www.seattle.gov/documents/Departments/CityLight/IRP/2024IRPProgressReport.pdf
Cowlitz Public Utility District No. 1 2024 Integrated Resource Plan. https://www.cowlitzpud.org/wp-content/uploads/Cowlitz-PUD-2024-Integrated-Resource-Plan.pdf
Grant County Public Utility District. Integrated Resource Plan 2024. https://www.grantpud.org/templates/galaxy/images/2024.0909-IRP-Online.pdf
Kittitas County PUD No. 1 Resource Plan Cover Sheet. https://www.kittitaspud.com/ArchiveCenter/ViewFile/Item/2319
Lewis County Public Utility District. 2024 Integrated Resource Plan. https://www.lcpud.org/wp-content/uploads/2024-IRP-Lewis.pdf
Mason Public Utility District No. 3. Resource Plan 2024. https://www.pud3.org/wp-content/uploads/RP_2024_Plan_20240813_final_adopted_combined-2.pdf
Okanogan County Electric Cooperative, Inc. Okanogan County Electric Resource Plan 2020. https://ocec.coop/wp-content/uploads/2020/12/Okanogan-County-Resource-Plan-12_2020.pdf
Orcas Power & Light Co-op. 2020-2040 Integrated Resource Plan. https://www.opalco.com/wp-content/uploads/2019/09/OPALCO-2020-2040-IRP.pdf
PacifiCorp. 2025 Integrated Resource Plan (Draft). https://www.pacificorp.com/content/dam/pcorp/documents/en/pacificorp/energy/integrated-resource-plan/2025-irp/2025_DRAFT_IRP_Vol.2.pdf
Peninsula Light Company. Energy Resource Plan 2022. https://www.penlight.org/wp-content/uploads/Energy-Resource-Plan-Cover-Sheet-2022.pdf
Public Utility District No. 1 of Benton County. 2024 Load Forecast for 2024-2034. https://www.bentonpud.org/getattachment/b6fb33bf-9e04-4d36-9a41-97331e5627d6/2024-Load-Forecast.PDF
Public Utility District No. 1 of Chelan County. Integrated Resource Plan Progress Report 2023. https://www.chelanpud.org/docs/default-source/default-document-library/irp-2023-book.pdf
Public Utility District No. 1 of Douglas County. Integrated Resource Plan (IRP) 2024 Update. https://douglaspud.org/wp-content/uploads/2024/02/2024-Draft-IRP.pdf
Public Utility District No. 1 of Franklin County. 2020 Franklin PUD Integrated Resource Plan. https://www.franklinpud.com/assets/uploads/2020_Franklin_Integrated_Resource_Plan_4_final.pdf
Puget Sound Energy. Executive Summary, 2023 Electric Progress Report. https://www.pse.com/-/media/PDFs/IRP/2023/electric/chapters/01_EPR23_Ch1_Final.pdf
Snohomish County PUD. 2021 Integrated Resource Plan (Draft). https://www.snopud.com/wp-content/uploads/2021/10/2021_Draft-IRP_101921.pdf
Tacoma Public Utilities. 2022 Integrated Resource Plan. https://www.mytpu.org/wp-content/uploads/Tacoma-Power-2022-IIRP.pdf
Washington State Electric Utility Resource Planning. Washington State Utility Resource Planning, 2018 Report. https://www.commerce.wa.gov/wp-content/uploads/2019/02/Commerce-Electric-Utility-Resource-Planning.pdf
Washington State Department of Commerce. Washington State Electric Utility Resource Planning, 2020 Report. https://www.commerce.wa.gov/wp-content/uploads/2020/12/Electric-Utility-Resource-Planning-2020-Report.pdf
Washington State Department of Commerce. Washington State Electric Utility Resource Planning, 2022 Report. https://app.leg.wa.gov/ReportsToTheLegislature/Home/GetPDF?fileName=Washington%20State%20Electric%20Utility%20Resource%20Planning%202022%20Report%20-%20FINAL_6eb6fc4a-487b-483b-b5ae-d622e9bd2a0b.pdf
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Data Centers
Data Centers General
Data Center Map - https://www.datacentermap.com
Cloud and Colocation - https://www.cloudandcolocation.com
Abramson, Ryan. “Titans of tech: Exploring America’s largest hyperscale data centers.” Scout Cities. 23rd July 2024. https://scoutcities.com/blog/the-titans-of-tech-exploring-the-worlds-largest-hyperscale-data-centers
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Data Centers in Washington
Serverfarm TITAN - https://baxtel.com/data-center/server-farm-realty-titan-moses-lake-wa/files/server-farm-titan-moses-lake-summary-data-sheet
Bitfarms Washington -
https://bitfarms.com/farms/washington/
Pangborn Data Center - https://www.kuow.org/stories/small-town-surge-rural-washington
Sabey Integrate, Columbia -
https://baxtel.com/data-center/sabey-intergate-columbia
https://sabeydatacenters.com/locations/east-wenatchee-data-center
BitDeer Washington - https://www.sec.gov/Archives/edgar/data/1899123/000114036123044752/ny20009896x5_424b3.htm
Microsoft EAT05 - :
https://baxtel.com/data-center/microsoft-eat05
Microsoft East Wenatchee -
https://baxtel.com/data-center/microsoft-east-wenatchee
Microsoft EAT03 -
https://baxtel.com/data-center/microsoft-eat03
Microsoft EAT04 -
https://baxtel.com/data-center/microsoft-eat04
Yahoo Japan East Wenatchee -
https://baxtel.com/data-center/yahoo-japan-east-wenatchee
Microsoft MWH06 -
https://baxtel.com/data-center/microsoft-mwh06
Microsoft MWHO2 AZ-A -
https://baxtel.com/data-center/microsoft-mwh02-az-a
Microsoft MWH02 AZ-C -
https://baxtel.com/data-center/microsoft-mwh02-az-c
Microsoft MWH02 AZ-B -
https://baxtel.com/data-center/microsoft-mwh02-az-b
Microsoft MWH02 AZ-D -
https://baxtel.com/data-center/microsoft-mwh02-az-d
Microsoft EAT09 -
https://baxtel.com/data-center/microsoft-eat09
Microsoft EAT06 -
https://baxtel.com/data-center/microsoft-eat06
Microsoft MWH04 AZ-A -
https://baxtel.com/data-center/microsoft-mwh04-az-a
Microsoft MWH04 AZ-B -
https://baxtel.com/data-center/microsoft-mwh04-az-b
Microsoft MWH01 AZ-C -
https://baxtel.com/data-center/microsoft-mwh01-az-c
Microsoft MWH01 AZ-B -
https://baxtel.com/data-center/microsoft-mwh01-az-b
Microsoft MWH03 -
https://baxtel.com/data-center/microsoft-mwh03
Microsoft MWH01 AZ-D -
https://baxtel.com/data-center/microsoft-mwh01-az-d
Microsoft MWH05 -
https://baxtel.com/data-center/microsoft-mwh05
CyrusOne Quincy -
https://baxtel.com/data-center/cyrusone-quincy
https://www.cyrusone.com/data-centers/north-america/quincy-washington
NTT Data Quincy -
https://baxtel.com/data-center/ntt-data-quincy
https://www.datacenterdynamics.com/en/news/ntt-data-sells-two-us-data-center-locations-gi-partners/
Microsoft CO2 -
https://baxtel.com/data-center/microsoft-co2
Microsoft CO6 -
https://baxtel.com/data-center/microsoft-co6
Microsoft CO5 -
https://baxtel.com/data-center/microsoft-co5
Microsoft Columbia Data Center -
https://baxtel.com/data-center/microsoft-columbia-data-center
Microsoft CO4 -
https://baxtel.com/data-center/microsoft-co4
Microsoft CO3 -
https://baxtel.com/data-center/microsoft-co3
Yahoo-Oath Quincy -
https://baxtel.com/data-center/yahoo-oath-quincy
H5 Quincy -
https://baxtel.com/data-center/h5-quincy
Vantage WA12 -
https://baxtel.com/data-center/vantage-wa12
https://vantage-dc.com/data-center-locations/north-america/quincy-washington/
Vantage WA13 -
https://baxtel.com/data-center/vantage-wa13
Vantage WA11 -
https://baxtel.com/data-center/vantage-wa11
Sabey:Integrate.Quincy (Building E) -
http://baxtel.com/data-center/sabey-intergate-quincy-building-e
https://sabeydatacenters.com/locations/quincy-data-center
Sabey:Integrate.Quincy (Building C) -
https://baxtel.com/data-center/sabey-intergate-quincy
Sabey:Integrate.Quincy (Building B) -
http://baxtel.com/data-center/sabey-intergate-quincy-building-b
Sabey:Integrate.Quincy (Building D) -
http://baxtel.com/data-center/sabey-intergate-quincy-building-d
Sabey:Integrate.Quincy (Building A) -
https://baxtel.com/data-center/sabey-intergate-quincy-building-a
Salcido Cashmere
https://baxtel.com/data-center/salcido-cashmere
Lunavi Bellingham -
https://baxtel.com/data-center/lunavi-bellingham
Centersquare: Lynwood SEA1 -
https://baxtel.com/data-center/centersquare-lynnwood-sea1
https://www.datacenters.com/centersquare-seattle-se1-lynnwood
HostPapa SEA11 -
https://baxtel.com/data-center/hostpapa-sea1
WORLDLINK North Seattle -
https://baxtel.com/data-center/worldlink-seattle-north
Lumen Seattle 5 (Bothell) -
https://baxtel.com/data-center/lumen-seattle-5-bothell
Microsoft Redmond Ridge -
https://baxtel.com/data-center/microsoft-redmond-ridge
Colocation Northwest Redmond -
https://baxtel.com/data-center/colocation-northwest-redmond
https://www.colocationnorthwest.com/data-centers/redmond
Colocation Northwest Bellevue -
https://baxtel.com/data-center/colocation-northwest-belleview
https://www.datacenters.com/colocation-northwest-bellevue
Digital Fortress Downtown/New York Internet -
https://baxtel.com/data-center/digital-fortress-downtown
TierPoint DC1 and DC2 -
https://baxtel.com/data-center/tierpoint-seattle-dc1-and-dc2
Lumen Seattle 4 -
https://baxtel.com/data-center/lumen-seattle-4
H5 Seattle -
https://baxtel.com/data-center/h5-seattle
https://h5datacenters.com/slick-seattle2.pdf
Lumen Seattle 1 -
https://baxtel.com/data-center/lumen-seattle-1-1000-denny-way
Lumen Seattle 3 -
​​https://www.datacentermap.com/usa/washington/seattle/level3-seattle1/
https://baxtel.com/data-center/lumen-seattle-3
365 Seattle -
https://baxtel.com/data-center/365-seattle
Equinix Seattle SE3 -
https://baxtel.com/data-center/equinix-seattle-se3
https://www.equinix.com/content/dam/eqxcorp/en_us/documents/resources/ibx-tech-specs/ibx_se3_en.pdf
Clise: 2020 Fifth -
https://baxtel.com/data-center/clise-2020-fifth
https://cliseproperties.com/properties/2020-data-center/
DataBank Westin SEA1 -
https://baxtel.com/data-center/databank-westin-sea1
https://www.databank.com/data-centers/
Westin Building Seattle -
https://baxtel.com/data-center/westin-building-seattle
Colocation Northwest Westin Downtown -
https://baxtel.com/data-center/colocation-northwest-westin-downtown
Verizon: Seattle 1100 2nd, 1st floor -
https://baxtel.com/data-center/verizon-seattle-1100-2nd
https://www.loopnet.com/Listing/1100-2nd-Ave-Seattle-WA/17407957/
https://cloudandcolocation.com/datacenters/xo-communications-seattle-data-center-1/
Sabey Intergrate.East -
https://baxtel.com/data-center/sabey-intergate-east
EdgeConneX Seattle -
https://baxtel.com/data-center/edgeconnex-seattle
https://www.edgeconnex.com/wp-content/uploads/2024/09/Seattle-Data-Sheet.pdf
DataBank SeaTAC SEA2 -
https://baxtel.com/data-center/databank-seatac-sea2
https://www.databank.com/data-centers/
Centersquare: Seattle SEA1B -
https://baxtel.com/data-center/centersquare-seattle-sea1b
COLOinSeattle Tukwila -
https://baxtel.com/data-center/coloinseattle-tukwila
Centersquare: Seattle SEA1-A -
https://baxtel.com/data-center/centersquare-seattle-sea1-a
WORLDLINK Seattle South -
https://baxtel.com/data-center/worldlink-seattle-south
Centersquare: Seattle SEA2 -
https://baxtel.com/data-center/centersquare-seattle-sea2
Equinix Seattle SE4 -
https://baxtel.com/data-center/equinix-seattle-se4
QuadraNet Seattle -
https://baxtel.com/data-center/quadranet-seattle
Optic Fusion Perkins -
https://baxtel.com/data-center/optic-fusion-perkins
Centeris: SH1 -
https://cloudandcolocation.com/datacenters/centeris-seattle-data-center-sh1/
https://baxtel.com/data-center/centeris-sh1
Colocation NorthWest South Hill Campus -
https://baxtel.com/data-center/colocation-northwest-south-hill-campus
ScaleMatrix Seattle -
https://www.scalematrix.com/seattle-data-center
https://baxtel.com/data-center/scalematrix-seattle
Franklin PUD Colocation -
https://www.franklinpud.com/assets/uploads/2022_FPUD_Fast_Facts_%28Annual_Report%29.pdf
https://baxtel.com/data-center/franklin-pud-colocation
Advanced Phase Wallula -
https://baxtel.com/data-center/advanced-phase-wallula
PockitNet Walla Walla -
https://baxtel.com/data-center/pocketinet-walla-walla
Verizon: Spokane -
https://bakerconstruct.com/projects/xo-communications/
https://baxtel.com/data-center/verizon-spokane
TierPoint Spokane SPO03 -
https://baxtel.com/data-center/tierpoint-spokane-spo03
TierPoint Spokane SPO01-02 -
https://baxtel.com/data-center/tierpoint-spokane-spo01-02
Merkle Standard -
https://baxtel.com/data-center/merkle-standard-washington
Server Farm Realty Titan (Moses Lake) -
https://baxtel.com/data-center/server-farm-realty-titan-moses-lake-wa
Cyxtera Moses Lake MWH1 -
H5 Quincy II -
https://baxtel.com/data-center/h5-quincy-ii
https://h5datacenters.com/slick_quincyII&III.pdf
H5 Quincy III -
http://baxtel.com/data-center/h5-quincy-iii
Microsoft Quincy MWH -
https://baxtel.com/data-center/microsoft-quincy-mwh
Microsoft EAT12 -
https://baxtel.com/data-center/microsoft-malaga-wa
Microsoft EAT13 -
https://baxtel.com/data-center/microsoft-eat13
Microsoft EAT14 -
https://baxtel.com/data-center/microsoft-eat14
T-Mobile East Wenatchee -
https://baxtel.com/data-center/t-mobile-east-wenatchee
Microsoft EAT09 -
https://baxtel.com/data-center/microsoft-eat09
Microsoft EAT06 -
https://baxtel.com/data-center/microsoft-eat06
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Microsoft Data Centers General
State of Washington Department of Ecology. “Approval for Microsoft Data Center.” https://ecology.wa.gov/getattachment/324c76f2-7af7-495d-82dd-664b30089ca0/20200227MWHAO20AQE005.pdf
Microsoft. “Partnering with the City of Quincy to open Washington’s first industrial water reuse center.” https://local.microsoft.com/blog/partnering-with-the-city-of-quincy-to-open-washingtons-first-industrial-water-reuse-center/
Microsoft. “Microsoft’s Sustainability Targets.” https://datacenters.microsoft.com/sustainability/efficiency/
Microsoft. “2022 Environmental Sustainability Report: Data Fact Sheet.” https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RW13PLE
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Forecasting
Northwest Power and Conservation Council. “Data center power demand is on target in Northwest; Council expects demand to increase steadily.” https://www.nwcouncil.org/energy/data-center-power-demand-is-on-target-in-northwest-council-expects-demand-to-increase-steadily/
Pacific Northwest Utilities Conference Committee. Northwest Regional Forecast of Power Loads and Resources: August 2024 and July 2034. https://www.pnucc.org/wp-content/uploads/2024-PNUCC-Northwest-Regional-Forecast-final.pdf
Baumhart, Alex. “Demand for electricity in Northwest projected to grow 30% in decade, triple previous estimates.” Washington State Standard. May 2nd, 2024. https://washingtonstatestandard.com/2024/05/02/demand-for-electricity-in-northwest-projected-to-grow-30-in-decade-triple-previous-estimates/
Gooding, Matthew. “Data center capacity in Pacific Northwest could hit 4,000 MW before 2030.” Data Center Dynamics. https://www.datacenterdynamics.com/en/news/data-center-capacity-in-pacific-northwest-could-hit-4000mw-before-2030/
Ecology and Data Centers
Equinix. “Sustainability Report FY2023.” https://engage.equinix.com/high-performance-datacenter/items/equinix-2023-sustainability-report?gad_source=1&gclid=Cj0KCQjwv_m-BhC4ARIsAIqNeBtOmzHTtS-ae8W2WdHxisWSQ7iGKV1M-D0EE6APggKMova2uaUZMxIaAmyMEALw_wcB
Google Environmental Report 2021. https://www.gstatic.com/gumdrop/sustainability/google-2021-environmental-report.pdf
Google Environmental Report 2023. https://library.idgcommunications.net/idgcampaigns/documents/uploaded_data/49a/1a0/31-/original/google-2023-environmental-report.pdf
Meta 2023 Sustainability Report. https://sustainability.fb.com/wp-content/uploads/2023/07/Meta-2023-Sustainability-Report-1.pdf
Garg, Arti, Irene Kitsara, and Sarah Bérubé. “The hidden cost of AI: Unpacking its energy and water footprint. OECD.AI Policy Observatory. https://oecd.ai/en/wonk/the-hidden-cost-of-ai-energy-and-water-footprint
Information on Data Centers in Washington
CBRE. “Secondary Market: Central Washington.” North America Data Center Trends H2 2022. 3rd March 2023. https://www.cbre.com/insights/local-response/north-america-data-center-trends-h2-2022-central-washington
CBRE. “Central Washington Ranks Eighth, Seattle Fifteenth for Data Center Leasing in 2022.” 23rd March 2023. https://www.cbre.com/press-releases/central-washington-ranks-eighth-seattle-fifteenth-for-data-center-leasing-in-2022
GrantPUD. “Commission recap, 8/27/2024 – Industrial customers’ energy requests to drive future growth.” https://www.grantpud.org/blog/commission-recap-8-27-2024
Van Wing, Sage. “Do data centers fit with Washington’s clean energy goals?” OPB. 6th August 2024. https://www.opb.org/article/2024/08/06/washington-electric-utilities-power-carbon/
Denkmann, Libby and Alec Cowan. “When power is cheap, crypto moves in. The fallout in rural WA is complex.” KUOW. 5th July 2023. https://www.kuow.org/stories/small-town-surge-rural-washington
Denkmann, Libby and Hans Anderson. “Data centers put WA clean energy goals in jeopardy.” KUOW. 8th August 2024. https://www.kuow.org/stories/data-centers-put-wa-clean-energy-goals-in-jeopardy
Fauska, Sarah R., Skyler R. Ruff, Hezekiah M. Shanu, and Aartdina P. van den Hoek. (2024). “Wildfire Impacts of Power Grid Stability and Data Center Reliability in Washington State.” Climate Risk Lab, University of Washington. https://foster.uw.edu/wp-content/uploads/2024/06/MSBA-2024_CRL_Final-report.pdf
Glanz, James. “Data barns in a farm town, gobbling power and flexing muscle.” The New York Times. 23rd September 2012. https://www.nytimes.com/2012/09/24/technology/data-centers-in-rural-washington-state-gobble-power.html
Ramadan, Lulu and Sydney Brownstone. “Data centers guzzle power, threatening WA’s clean energy push.” The Seattle Times. 24th July 2024. https://www.seattletimes.com/seattle-news/times-watchdog/power-hungry-how-the-data-center-boom-drained-wa-of-hydropower/
Ramadan, Lulu and Sydney Brownstone. “How a Washington tax break for data centers snowballed into one of the state’s biggest corporate giveaways.” ProPublica. 4th August 2024. https://www.propublica.org/article/washington-data-centers-tech-jobs-tax-break
Ramadan, Lulu and Sydney Brownstone. “WA governor orders team to study data centers’ energy, tax, jobs impact.” The Seattle Times. 4th February 2025. https://www.seattletimes.com/seattle-news/times-watchdog/wa-governor-orders-team-to-study-data-centers-environmental-and-jobs-impact/
Stiffler, Lisa. “Amid AI boom, Gov. Ferguson creates workgroup to study impact of data centers in Washington state.” GeekWire. https://www.geekwire.com/2025/amid-ai-boom-gov-ferguson-creates-workgroup-to-study-impact-of-data-centers-in-washington-state/
Weise, Karen. “A.I., the electricians and the boom towns of Central Washington.” The New York Times. 25th December 2024. https://www.nytimes.com/2024/12/25/technology/ai-data-centers-electricians.html?searchResultPosition=4
Data Centers and Energy
CBRE. “North America Data Center Trends H2 2022.” 17th February 2023. https://www.cbre.com/insights/reports/north-america-data-center-trends-h2-2022
DataCenterDynamics. (2022). “Enterprise Data Centers: Developing a Strategy for Success.” https://www.media.datacenterdynamics.com/media/documents/22-04-Telia-Finland-2022-research-report-Strategy-FINAL.pdf
DataCenterDynamics. “TierPoint case study: Deploying significant GPUs for AI workloads.” 3rd October 2024. https://www.datacenterdynamics.com/en/whitepapers/tierpoint-case-study-deploying-significant-gpus-for-ai-workloads/
DataCenterDynamics. “Enabling uninterrupted power: Design for reliability in UPS systems.” 19th March 2025. https://www.datacenterdynamics.com/en/whitepapers/enabling-uninterrupted-power-design-for-reliability-in-ups-systems/
EPRI. “Powering Intelligence: Analyzing Artificial Intelligence and Data Center Energy Consumption.” (2024). https://www.epri.com/research/products/3002028905
European Commission Joint Research Centre. “2024 Best Practice Guidelines for the EU Code of Conduct on Data Cent
Federal Energy Management Program, U.S. Department of Energy. “Best Practices Guide for Energy-Efficient Data Center Design” (2024). https://www.energy.gov/sites/default/files/2024-07/best-practice-guide-data-center-design_0.pdf
International Energy Agency (IEA). “Data Centres and Data Transmission Networks.” https://www.iea.org/energy-system/buildings/data-centres-and-data-transmission-networks
Update Institute. “Global Data Survey 2023.” https://uptimeinstitute.com/uptime_assets/74fd7ed906aad2b6df2a96dfeb803dde83d52ee3dffdd8ae41a50fab4e23182f-uptime-institute_global-data-center-survey-2023_executive-summary.pdf
Dayarathna, Miyuru, Yonggang Wen, and Rui Fan. (2015). “Data center energy consumption modeling: A survey.” IEEE Communications Surveys & Tutorials 18(1): 732-794. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7279063
Koomey, Jonathan and Eric Masanet. (2021) “Does not compute: Avoiding pitfalls assessing the Internet’s energy and carbon impacts.” Joule 5.7: 1625-1628. https://www.cell.com/joule/pdf/S2542-4351(21)00211-7.pdf
Malia, Sulav and Ken Christensen. (2019). “A survey on power management techniques for oversubscription of mutli-tenant data centers.”ACM Computing Surveys (CSUR). 15(1). https://dl-acm.org/doi/10.1145/3291049.
Shehabi, Arman, Sarah Smith, Dale Sartor, Richard Brown, Magnus Herrlin, Jonathan Koomey, Eric Masanet, Nathaniel Horner, Ines Azevedo, and William Lintner. (2016). “United States Data Center Energy Usage Report.” Lawrence Berkeley National Laboratory. LBNL-1005775. https://escholarship.org/content/qt84p772fc/qt84p772fc.pdf
Totel, Jerome. “Data centers: The 10 trends of the industry for 2025.” DataCenterDynamics. https://www.datacenterdynamics.com/en/opinions/data-centers-the-10-trends-of-the-industry-for-2025/
Code for the Project
The Python scripts I wrote for the project are available in one of my repositories on GitHub