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Modeling the Lifecycle Greenhouse Gas Emissions of a Hybrid Satellite System

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Abstract

The aim of this paper is to present the approach used to model the greenhouse gas emissions of a hybrid broadband terrestrial/satellite system over its lifecycle. The lifecycle analysis showed that the electricity used by the customer premises equipment was responsible for the majority of the GHG emissions, assuming that the power plants continue to use fossil fuels. Emissions from manufacture, transport and waste treatment represented only 0.00453 % of the total emissions. Under a 1 % cut-off rule only the in-use emissions from on grid electricity would need to be considered. Manufacture, transport, and waste treatment can be safely ignored. This includes emissions from the manufacture of the satellite launch vehicle and the transport of the satellite into geostationary orbit.

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References

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Acknowledgement

The authors wish to acknowledge support and funding of the EU 7th R&D Framework Programme. Without this support the assessments carried out under the BATS Project would not have been possible. The authors acknowledge the work of other partners in the EU FP7 BATS project whose reports have provided input parameters for the inventory. The authors also acknowledge the work of the University of Surrey under Professor Barry Evans who provided guidance on the modelling technique used here.

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Correspondence to David Faulkner .

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© 2015 Institute for Computer Sciences, Social informatics and Telecommunication Engineering

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Faulkner, D., Dickerson, K., Wall, N., Watts, S. (2015). Modeling the Lifecycle Greenhouse Gas Emissions of a Hybrid Satellite System. In: Pillai, P., Hu, Y., Otung, I., Giambene, G. (eds) Wireless and Satellite Systems. WiSATS 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 154. Springer, Cham. https://doi.org/10.1007/978-3-319-25479-1_8

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  • DOI: https://doi.org/10.1007/978-3-319-25479-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25478-4

  • Online ISBN: 978-3-319-25479-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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