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Climate policy costs of spatially unbalanced growth in electricity demand: the case of datacentres. ESRI Working Paper No. 657 March 2020

Fitiwi, Desta and Lynch, Muireann A. (2020) Climate policy costs of spatially unbalanced growth in electricity demand: the case of datacentres. ESRI Working Paper No. 657 March 2020. [Working Paper]

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    Abstract

    We investigate the power system implications of the anticipated expansion in electricity demand by datacentres. We perform a joint optimisation of Generation and Transmission Expansion Planning considering uncertainty in future datacentre growth under various climate policies. Datacentre expansion imposes significant extra costs on the power system, even under the cheapest policy option. A renewable energy target is more costly than a technology-neutral carbon reduction policy, and the divergence in costs increases non-linearly in electricity demand. Moreover, a carbon reduction policy is more robust to uncertainties in projected demand than a renewable policy. High renewable targets crowd out other low-carbon options such as Carbon Capture and Sequestration. The results suggest that energy policy should be reviewed to focus on technology-neutral carbon reduction policies.

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    Item Type: Working Paper
    Uncontrolled Keywords: : Datacentres; generation expansion planning; transmission expansion planning; climate policy; renewable energy
    Subjects for non-EU documents: EU policies and themes > Policies & related activities > energy policy (Including international arena)
    EU policies and themes > Policies & related activities > environmental policy (including international arena)
    Countries > Ireland
    Subjects for EU documents: UNSPECIFIED
    EU Series and Periodicals: UNSPECIFIED
    EU Annual Reports: UNSPECIFIED
    Series: Series > Economic and Social Research Institute (ESRI), Dublin > ESRI Working Papers
    Depositing User: Daniel Pennell
    Official EU Document: No
    Language: English
    Date Deposited: 15 May 2020 17:51
    Number of Pages: 27
    Last Modified: 15 May 2020 17:51
    URI: http://aei.pitt.edu/id/eprint/102749

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