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IMAGINE-DC materials model: Reproduction code for "Material efficiency to decarbonize global data centers"

Zenodo (CERN European Organization for Nuclear Research)

Abstract

This updated version was developed in response to reviewer feedback and adds Monte Carlo uncertainty and sensitivity analysis to the IMAGINE-DC model. The package contains model inputs, configuration files, analysis scripts, plotting code, and validation codes.

Authors 8

  1. Leiden University

    Affiliation as printed

    Institute of Environmental Sciences (CML), Leiden University

  2. Leiden University

    Affiliation as printed

    Institute of Environmental Sciences (CML), Leiden University

  3. Tianjin University · Nankai University

    Affiliation as printed

    College of Environmental Science and Engineering, Nankai University

    Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin, 300072, China

  4. Yale University

    Affiliation as printed

    Center for Industrial Ecology, Yale School of the Environment, Yale University

    Chemical and Environmental Engineering, Yale School of Engineering and Applied Science, Yale University

  5. Chinese Academy of Sciences · Institute of Urban Environment

    Affiliation as printed

    Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences

  6. Leiden University

    Affiliation as printed

    Institute of Environmental Sciences (CML), Leiden University

  7. Lawrence Berkeley National Laboratory

    Affiliation as printed

    Lawrence Berkeley National Laboratory, Berkeley

  8. Leiden University · Shenzhen University of Advanced Technology

    Affiliation as printed

    Institute of Environmental Sciences (CML), Leiden University

    School of Computer Science and Artificial Intelligence, Shenzhen University of Advanced Technology, 1 Gongchang Road, Shenzheng, China

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