31 resultados para Cost of electricity
Filtro por publicador
- Aberdeen University (1)
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- Chinese Academy of Sciences Institutional Repositories Grid Portal (3)
- Cochin University of Science & Technology (CUSAT), India (3)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (17)
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- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (2)
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- Duke University (11)
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- Indian Institute of Science - Bangalore - Índia (9)
- Institute of Public Health in Ireland, Ireland (3)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (1)
- Instituto Nacional de Saúde de Portugal (1)
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- Instituto Politécnico do Porto, Portugal (12)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- National Center for Biotechnology Information - NCBI (6)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (2)
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- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (2)
- Université de Montréal, Canada (5)
- University of Connecticut - USA (3)
- University of Michigan (155)
- University of Queensland eSpace - Australia (28)
- University of Washington (3)
- WestminsterResearch - UK (3)
Resumo:
Replacement and upgrading of assets in the electricity network requires financial investment for the distribution and transmission utilities. The replacement and upgrading of network assets also represents an emissions impact due to the carbon embodied in the materials used to manufacture network assets. This paper uses investment and asset data for the GB system for 2015-2023 to assess the suitability of using a proxy with peak demand data and network investment data to calculate the carbon impacts of network investments. The proxies are calculated on a regional basis and applied to calculate the embodied carbon associated with current network assets by DNO region. The proxies are also applied to peak demand data across the 2015-2023 period to estimate the expected levels of embodied carbon that will be associated with network investment during this period. The suitability of these proxies in different contexts are then discussed, along with initial scenario analysis to calculate the impact of avoiding or deferring network investments through distributed generation projects. The proxies were found to be effective in estimating the total embodied carbon of electricity system investment in order to compare investment strategies in different regions of the GB network.