Economic and environmental assessment of liquefied natural gas as a supplemental aircraft fuel

Withers, Mitch R.; Malina, Robert; Gilmore, Christopher K.; Gibbs, Jonathan; Trigg, Chris; Wolfe, Philip J.; Trivedi, Parthsarathi; Barrett, Steven R. H.

doi:10.1016/j.paerosci.2013.12.002

Cited by 49 publications

(18 citation statements)

References 46 publications

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“…According to Hileman & Statton [225] economic sustainability, environmental concerns, energy supply diversity, and competition for energy resources are the main drivers for alternative jet fuels development. The replacement for current alternative fuels need no aircraft modifications and can be used with the current aviation system, encompassing existing distribution and refueling infrastructure [226]. Hileman & Statton examined the criteria for the potential alternative jet fuels and highlighted that the synthetic liquid alternative fuels were compatible with current aircraft fleet, but the economic cost of production and the current lack of feedstock availability limits their near term availability to air transport.…”

Section: Aviation Alternative Fuels and Fuel Propertiesmentioning

confidence: 99%

Fuel consumption optimization in air transport: a review, classification, critique, simple meta-analysis, and future research implications

Singh

Sharma

2015

Eur. Transp. Res. Rev.

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Objective This paper presents a review, classification schemes, critique, a simple meta-analysis and future research implication of fuel consumption optimization (FCO) literature in the air transport sector. This review is based on 277 articles published in various publication outlets between 1973 and 2014. Methodology A review of 277 articles related to the FCO in air transport was carried out. It provides an academic database of literature between the periods of 1973-2014 covering 69 journals and proposes a classification scheme to classify the articles. Twelve hundred of articles were identified and reviewed for their direct relevance to the FCO in air transport. Two hundred seventy seven articles were subsequently selected, reviewed and classified. Each of the 277 selected articles was categorized on four FCO dimensions (Aircraft technology & design, aviation operations & infrastructure, socioeconomic & policy measures, and alternate fuels & fuel properties). The articles were further classified into six categories of FCO research methodologies (analytical -conceptual, mathematical, statistical, and empirical-experimental, statistical, and case studies) and optimization techniques (linear programming, mixed integer programming, dynamic programming, gradient based algorithms, simulation modeling, and nature based algorithms). In addition, a simple meta-analysis was also carried out to enhance understanding of the development and evolution of research in the FCO. Findings and conclusions This has resulted in the identification of 277 articles from 69 journals by year of publication, journal, and topic area based on the two classification schemes related to FCO research, published between, 1973 to December-2014. In addition, the study has identified the 4 dimensions and 98 decision variables affecting the fuel consumption. Also, this study has explained the six categories of FCO research methodologies (analytical -conceptual, mathematical, statistical, and empirical-experimental, statistical, and case studies) and optimization techniques (linear programming, mixed integer programming, dynamic programming, gradient based algorithms, simulation modeling, and nature based algorithms). The findings of this study indicate that the analytical-mathematical research methodologies represent the 47 % of FCO research. The results show that there is an increasing trend in research of the FCO. It is observed that the number of published articles between the period 1973 and 2000 is less (90 articles), so we can say that there are 187 articles which appeared in various journals and other publication sources in the area of FCO since 2000. Furthermore there is increased trend in research on FCO from 2000 onward. This is due to the fact that continuously new researchers are commencing their research activities in FCO research. This shows clearly that FCO research is a current research area among many research groups across the world. Lastly, the prices of jet fuel have significantly increased since the 2005. The aviatio...

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Section: Aviation Alternative Fuels and Fuel Propertiesmentioning

confidence: 99%

Fuel consumption optimization in air transport: a review, classification, critique, simple meta-analysis, and future research implications

Singh

Sharma

2015

Eur. Transp. Res. Rev.

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“…APMT-IC is a reducedorder climate model which models the physical and monetary impacts of CO 2 , CH 4 , N 2 O, sulfates, soot, NO x , and H 2 O emissions. Although the toolset, its algorithm, and assumptions have been well documented and used in numerous previous studies (Barrett et al, 2012;Mahashabde et al, 2011;Stratton, Wolfe, & Hileman, 2011;Trivedi, Malina, & Barrett, 2015;Withers et al, 2015Withers et al, , 2014Wolfe, 2012Wolfe, , 2015, it has recently undergone a number of updates to align with the state of the science. Therefore, the methods for APMT-IC used in this study are presented in the Supporting Information Material S3.…”

Section: Quantifying the Climate Impact Of The Bioenergy Systems Inmentioning

confidence: 99%

Using dynamic relative climate impact curves to quantify the climate impact of bioenergy production systems over time

et al. 2018

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The climate impact of bioenergy is commonly quantified in terms of CO2 equivalents, using a fixed 100‐year global warming potential as an equivalency metric. This method has been criticized for the inability to appropriately address emissions timing and the focus on a single impact metric, which may lead to inaccurate or incomplete quantification of the climate impact of bioenergy production. In this study, we introduce Dynamic Relative Climate Impact (DRCI) curves, a novel approach to visualize and quantify the climate impact of bioenergy systems over time. The DRCI approach offers the flexibility to analyze system performance for different value judgments regarding the impact category (e.g., emissions, radiative forcing, and temperature change), equivalency metric, and analytical time horizon. The DRCI curves constructed for fourteen bioenergy systems illustrate how value judgments affect the merit order of bioenergy systems, because they alter the importance of one‐time (associated with land use change emissions) versus sustained (associated with carbon debt or foregone sequestration) emission fluxes and short‐ versus long‐lived climate forcers. Best practices for bioenergy production (irrespective of value judgments) include high feedstock yields, high conversion efficiencies, and the application of carbon capture and storage. Furthermore, this study provides examples of production contexts in which the risk of land use change emissions, carbon debt, or foregone sequestration can be mitigated. For example, the risk of indirect land use change emissions can be mitigated by accompanying bioenergy production with increasing agricultural yields. Moreover, production contexts in which the counterfactual scenario yields immediate or additional climate impacts can provide significant climate benefits. This paper is accompanied by an Excel‐based calculation tool to reproduce the calculation steps outlined in this paper and construct DRCI curves for bioenergy systems of choice.

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“…APMT has been used to address the climate impacts of ultra-low sulfur jet fuel (Barrett et al, 2012) and liquefied natural gas (Withers et al, 2014), to determine climate and air quality damage metrics specific to aviation , and for calculating the climate impacts of bioenergy in electricity generation and transportation fuels (Trivedi, 2014). APMT can be used to treat non-aviation CO 2 emissions by disabling the computation of aviation-specific effects.…”

Section: Climate Impact Modelmentioning

confidence: 99%

Carbon, climate, and economic breakeven times for biofuel from woody biomass from managed forests

Withers

Malina

Barrett

2015

Ecological Economics

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Economic and environmental assessment of liquefied natural gas as a supplemental aircraft fuel

Cited by 49 publications

References 46 publications

Fuel consumption optimization in air transport: a review, classification, critique, simple meta-analysis, and future research implications

Fuel consumption optimization in air transport: a review, classification, critique, simple meta-analysis, and future research implications

Using dynamic relative climate impact curves to quantify the climate impact of bioenergy production systems over time

Carbon, climate, and economic breakeven times for biofuel from woody biomass from managed forests

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