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      The prospects of flexible natural gas-fired CCGT within a green taxonomy

      research-article
      1 , 2 , 1 , 2 , 1 , 2 , 3 ,
      iScience
      Elsevier
      Energy policy, Energy Modelling, Energy Systems

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          Summary

          Despite increased commitments toward net zero, there will likely be a continued need for natural gas to provide low carbon dispatchable power and blue hydrogen to balance the increased penetration of renewables. We evaluate the CO 2 emissions intensity of electricity produced by (i) natural gas-fired combined cycle gas turbine (CCGT) power plants with carbon capture and storage (CCS), and (ii) blue hydrogen CCGT plants which uses steam methane reforming with CCS to supply H 2. This study aims to determine whether these assets are able to meet a possible green taxonomy emissions threshold of 100 kg CO 2 eq/MWh. Key considerations include methane leakage, CO 2 capture rate, and the impacts of start-up and shut down cycles performed by the CCGT-CCS plant. This study suggests that, in order for natural gas to play an enduring role in the transition toward net zero, managing GHG emissions from both the upstream natural gas supply chain and the conversion facility is key.

          Graphical abstract

          Highlights

          • The green taxonomy has an emissions threshold of 100 kg/MWh

          • Under a green taxonomy, managing gas supply chain emissions and the CO 2 capture facility is a key

          • For flexible gas CCGT-CCS, hot SUSD can be frequent, whereas cold SUSD cycles will need to be limited

          • Blue hydrogen-CCGT can provide a high degree of flexibility without increasing CO 2 emissions

          Abstract

          Energy policy; Energy Modelling; Energy Systems.

          Related collections

          Most cited references31

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          The ecoinvent database version 3 (part I): overview and methodology

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            Assessment of methane emissions from the U.S. oil and gas supply chain

            Methane emissions from the U.S. oil and natural gas supply chain were estimated using ground-based, facility-scale measurements and validated with aircraft observations in areas accounting for ~30% of U.S. gas production. When scaled up nationally, our facility-based estimate of 2015 supply chain emissions is 13 ± 2 Tg/y, equivalent to 2.3% of gross U.S. gas production. This value is ~60% higher than the U.S. EPA inventory estimate, likely because existing inventory methods miss emissions released during abnormal operating conditions. Methane emissions of this magnitude, per unit of natural gas consumed, produce radiative forcing over a 20-year time horizon comparable to the CO2 from natural gas combustion. Significant emission reductions are feasible through rapid detection of the root causes of high emissions and deployment of less failure-prone systems.
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              The supply chain of CO2 emissions

                Author and article information

                Contributors
                Journal
                iScience
                iScience
                iScience
                Elsevier
                2589-0042
                14 July 2023
                18 August 2023
                14 July 2023
                : 26
                : 8
                : 107382
                Affiliations
                [1 ]Centre for Environmental Policy, Imperial College London, London, UK
                [2 ]Centre for Process Systems Engineering, Imperial College London, London, UK
                Author notes
                []Corresponding author niall@ 123456imperial.ac.uk
                [3]

                Lead contact

                Article
                S2589-0042(23)01459-1 107382
                10.1016/j.isci.2023.107382
                10407117
                37559900
                a566f434-524a-4dec-9265-5b2671189a78
                © 2023 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 21 March 2022
                : 26 May 2023
                : 11 July 2023
                Categories
                Article

                energy policy,energy modelling,energy systems
                energy policy, energy modelling, energy systems

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