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Volumn 34, Issue 18, 2006, Pages 3434-3446

Interactions between electricity-saving measures and carbon emissions from power generation in England and Wales

Author keywords

Carbon emissions; Demand reduction; Electricity generation

Indexed keywords

ELECTRIC POWER SYSTEMS; ENERGY CONSERVATION; GAS EMISSIONS; MATHEMATICAL MODELS; PUBLIC POLICY;

EID: 33750203383     PISSN: 03014215     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enpol.2005.07.014     Document Type: Article
Times cited : (70)

References (12)
  • 1
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    • Department for the Environment and Rural Affairs, 2004. http://www.defra.gov.uk/environment/climatechange/trading/eu/nap/allocat ion.htm.
  • 2
    • 0004012319 scopus 로고    scopus 로고
    • Department of Trade and Industry, The Stationary Office, London
    • Department of Trade and Industry. Digest of United Kingdom Energy Statistics (1999), The Stationary Office, London
    • (1999) Digest of United Kingdom Energy Statistics
  • 5
    • 0025659726 scopus 로고
    • Developments in degree-day methods of estimating energy use
    • Hitchin E.R. Developments in degree-day methods of estimating energy use. Building and Environment 25 1 (1990)
    • (1990) Building and Environment , vol.25 , Issue.1
    • Hitchin, E.R.1
  • 8
    • 0012173073 scopus 로고    scopus 로고
    • National Grid Company plc
    • National Grid Company plc. 1999 Seven Year Statement (1999)
    • (1999) 1999 Seven Year Statement
  • 11
    • 33750222170 scopus 로고    scopus 로고
    • Salway, A.G., 1999. UK Greenhouse Gas Inventory 1990-1997, Department of the Environment. Transport and the Regions (NETCEN), November 1999.
  • 12
    • 0034333709 scopus 로고    scopus 로고
    • An evaluation method for calculating the emission responsibility of specific electric applications
    • Voorspools, et al. An evaluation method for calculating the emission responsibility of specific electric applications. Energy Policy 28 (2000) 967-980
    • (2000) Energy Policy , vol.28 , pp. 967-980
    • Voorspools1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.