Life Cycle Assessment (LCA) Tools used for "Using Life Cycle Assessment to drive innovation for a sustainable and cool cloud" by Alissa et al

Addressing climate change requires accelerating the development of sustainable alternatives to energy- and water-intensive technologies, particularly for rapidly growing infrastructure like datacenters and cloud. This paper presents a novel Life Cycle Assessment (LCA) study examining the impacts of advanced cooling technologies on cloud infrastructure, from virtual machines to server architecture, datacenter buildings, and the grid. LCA is critical for early-stage design decisions, enhancing sustainability outcomes alongside feasibility and cost analysis.

These LCA tools are referenced in the manuscript "Using Life Cycle Assessment to drive innovation for a sustainable and cool cloud". They can be used to replicate findings in the study and perform new modelling experiments:

1. LCA_Tool_w_Raw_&_Normalized_PlusUncertainty&Details.xlsx contains 8 tabs that contain data from the study and an uncertainty analysis (Pedigree Analysis):

   1. Raw results for grid electricity
   2. Raw results for 100% renewables
   3. Normalized GHG Results
   4. Normalized Energy Results
   5. Normalized Water Results
   6. Pedigree matrix definition
   7. Pedigree matrix assessment
   8. LCA FE Model Process Names
2. LCA Tool with Detailed Equations.xlsx is an excel file with embedded formulas and empty cells that a user can populate to perform their own modelling studies.

3. Alissa_et_al_Supplemental_Data_EPDs.csv contains Environmental Product Declarations that were used in the study.

Manuscript Authors

Microsoft:

Husam Alissa, Teresa Nick, Ashish Raniwala, Alberto Arribas Herranz, Kali Frost, Ioannis Manousakis, Kari Lio, Brijesh Warrier, Vaidehi Oruganti, TJ DiCaprio, Kathryn Oseen-Senda, Bharath Ramakrishnan, Naval Gupta, Ricardo Bianchini, Jim Kleewein, Christian Belady, Marcus Fontoura,

WSP:

Julie Sinistore (julie.sinistore@wsp.com), Mukunth Natarajan (mukunth.natarajan@wsp.com), Lauren Johnson (lauren.m.johnson@wsp.com), VeeAnder Mealing (veeander.mealing@wsp.com), Praneet Arshi (praneetarshi@gmail.com) and Madeline Frieze (friezem93@gmail.com)