2002
DOI: 10.1504/ijgei.2002.000968
|View full text |Cite
|
Sign up to set email alerts
|

Sectorial energy demands and MARKAL allocations of energy resources in India

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2010
2010
2014
2014

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 2 publications
0
1
0
Order By: Relevance
“…The author concluded that even for an industrialised country with a very efficient energy system that implies high carbon taxes, sufficient technical options are available to reduce these carbon taxes to acceptable levels and effectively contribute to a sustainable environment. MARKAL models have also been used to analyse sectoral and total energy demand (Bansal et al, 2002), decentralised power generation (Mathur, 2007), uptake of renewable technologies/resources (Nguyen, 2007;Endo and Ichinohe, 2006;Clarke et al, 2009), uncertainty analyses related discount/hurdle rates (Kannan, 2009), and a possible hydrogen 0% 1% 2% 3% 4% 5% 0 4,000 8,000 12,000 16,000 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 GWh Wind Biofuel Others Share of Renewable economy (Tseng et al, 2005;Strachan et al, 2009a). MARKAL hybrid model types (MARKAL-Macro and MARKAL Elastic Demand (MED)) have been compared in the analysis of climate change mitigation policies (Chen et al, 2007;Strachan and Kannan, 2008).…”
Section: Markal Energy Systems Modellingmentioning
confidence: 99%
“…The author concluded that even for an industrialised country with a very efficient energy system that implies high carbon taxes, sufficient technical options are available to reduce these carbon taxes to acceptable levels and effectively contribute to a sustainable environment. MARKAL models have also been used to analyse sectoral and total energy demand (Bansal et al, 2002), decentralised power generation (Mathur, 2007), uptake of renewable technologies/resources (Nguyen, 2007;Endo and Ichinohe, 2006;Clarke et al, 2009), uncertainty analyses related discount/hurdle rates (Kannan, 2009), and a possible hydrogen 0% 1% 2% 3% 4% 5% 0 4,000 8,000 12,000 16,000 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 GWh Wind Biofuel Others Share of Renewable economy (Tseng et al, 2005;Strachan et al, 2009a). MARKAL hybrid model types (MARKAL-Macro and MARKAL Elastic Demand (MED)) have been compared in the analysis of climate change mitigation policies (Chen et al, 2007;Strachan and Kannan, 2008).…”
Section: Markal Energy Systems Modellingmentioning
confidence: 99%