Global energy scenarios meeting stringent CO2 constraints--cost-effective fuel choices in the transportation sector
By Christian Azar, Kristian Lindgren, Björn A. Andersson. 2003
334 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Environmental Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/13401ec6be9a095b40d1e29fe79eb422cbe2cb5c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Christian Azar
- Daniel J. A. Johansson
- E. Larson
- K. Möllersten
- N. Mattsson
- Björn A. Sandén
- Kristian Lindgren
- Volker Krey
In Environmental Engineering
- Volker Krey
- Gunnar Luderer
- Keywan Riahi
- R. Pietzcker
- Elmar Kriegler
- Christian Azar
- Daniel J. A. Johansson
- Charlie Wilson
In Renewable Energy, Sustainability and the Environment
- Keywan Riahi
- Christian Azar
- Daniel J. A. Johansson
- Gunnar Luderer
- Volker Krey
- N. Mattsson
- Charlie Wilson
- D. P. Vuuren
Citations in the corpus
- The feasibility of low CO2 concentration targets and the role of bio-energy with carbon capture and storage (BECCS) (2010, methodology): “GET is also a linear optimization model designed to choose primary energy sources, conversion technologies and transportation technologies that meet (in this version) a price elastic energy demand, at the lowest aggregate costs, subject to a carbon constraint (a tax or an emission cap).”
- Biofuels sources, biofuel policy, biofuel economy and global biofuel projections (2008, background): “As regards the difference between hydrogen and methanol production costs, conversion of natural gas, biomass and coal into hydrogen is generally more energy efficient and less expensive than conversion into methanol [88].”
- Long-term Transport Energy Demand and Climate Policy: Alternative Visions on Transport Decarbonization in Energy Economy Models (2014, background): “Azar et al developed a linear partial-equilibrium energy system model including a detailed transport sector at the global [27] and regional level [28].”
- Bioenergy expansion in the EU: Cost-effective climate change mitigation, employment creation and reduced dependency on imported fuels (2007, background): “This is in line with findings from global level modelling reported in (Azar et al., 2003) and also analyses comparing specific bioenergy options (see Introduction), where differences in conversion efficiencies and energy inputs into biomass production and conversion to biofuels are among the most de”
- Life-cycle assessment of high-speed rail: the case of California (2010, background): “HSR’s contribution to sustainable transportation goals has also been discussed (Azar et al 2003, Smith 2003) A comprehensive cost assessment was found to be critical in evaluating the effectiveness of new rail systems (Webber 1976).”
- Near-term technology policies for long-term climate targets—economy wide versus technology specific approaches (2005, background): “Although an earlier analysis of ours ( Azar et al., 2003 ) strongly suggests that hydrogen will be the key fuel for the future, research efforts, including minor market experiments, should also continue on a number of technologies for alternative fuels production and use, e.g., ethanol from woody bi”
- A scenario based analysis of land competition between food and bioenergy production in the US (2007, background): “The main part of the bioenergy is used for heat production (residential and industrial heat), and no bioenergy enters the transportation sector, for cost-effectiveness reasons, see Azar et al. (2003).”
- Meeting global temperature targets—the role of bioenergy with carbon capture and storage (2013, methodology): “0 [12, 13], with linear equations describing the global energy system from resource extraction via energy conversion to end use.”
- Energy- and greenhouse gas-based LCA of biofuel and bioenergy systems: Key issues, ranges and recommendations (2009, result): “Two independent studies analysed this topic by developing different energy economy models which arrived at diverging results (Azar et al., 2003; Gielen et al., 2003).”
- Estimation of environmental Kuznets curve for SO2 emission: A case of Indian cities (2017, background): “The emission generated by the 3 transportation sector can be attributed to industrial sector, as this sector is used by the industrial 4 sector for commuting their products (Deolalikar and Evenson, 1989; Azar et al., 2003; Anand et 5 al., 2006).”