Active Debris Removal (ADR) for Mega-constellation Reliability

Living reference work entry


Provided that the hazard of space debris in orbit can pose threats to space exploration missions and, thereby, influence the redundancy of Earth observation and telecommunication constellations, this chapter addresses the case for mega-constellation reliability. The space security challenge in this case does not only relate to the regulatory and legal framework thereof but also to the business development of technical solutions for space security. Although the current level of technologies enables active debris removal (ADR), its business applicability remains to be investigated. In this study, a multiparametric mega-constellation model has been developed to take into account orbital motion, coverage, ground communication, reliability, collision risks, and service consumption in the global telecommunication market. The research and simulations performed on the model allowed for the analysis of possible financial metrics (revenue, cash flows, total replenishment cost) of the company who operates the ADR, as well as replacement scenarios and weak points of the mega-constellation. All combined, the chapter provides insights into the market that exists for ADR technologies, by demonstrating the ADR business applicability for mega-constellations.


  1. Castet JF, Saleh JH (2009) Satellite and satellite subsystems reliability: statistical data analysis and modeling. Reliab Eng Syst Safe 94(11):1718–1728CrossRefGoogle Scholar
  2. Deloitte Center for Technology, Media and Telecommunications (2019) Telecommunications industry outlook.
  3. Doxsey-Whitfield E, MacManus K, Adamo SB et al (2015) Taking advantage of the improved availability of census data: a first look at the gridded population of the world, version 4. Pap Appl Geogr 1(3):226–234CrossRefGoogle Scholar
  4. European Space Operations Center (2019) ESA’s annual space environment report, 5, pp 1–77Google Scholar
  5. Gérard P, Luzum B (eds) (2010) IERS conventions. Technical note no. 36. Bureau International des Poids et Measures, Frankfurt am MainGoogle Scholar
  6. Harris M (2019) The space-wide web. New Sci 242(3228):44–47CrossRefGoogle Scholar
  7. Iridium Communications Inc (2009) Annual report to Stockholders, Accessed 28 Feb 2019.
  8. Islam T, Fiebig DG, Meade N (2002) Modelling multinational telecommunications demand with limited data. Int J Forecast 18(4):605–624CrossRefGoogle Scholar
  9. Kharlan A, Ivanov A, Veliev N et al (2018) University-based facility for evaluation and assessment of space projects Alexander Kharlan. In: 69th international astronautical congress, Bremen, pp 1–5Google Scholar
  10. Larson WJ, Wiley J (eds) (1992) Space mission analysis and design, 3rd edn. Microcosm Press, TorranceGoogle Scholar
  11. Mosher D (2019) SpaceX may be a $120 billion company if its Starlink global internet service takes off, Morgan Stanley Research predicts, Business Insider. Accessed 28 Sept 2019
  12. OurWorldInData Inc (2014) Global income distribution. Accessed 4 Mar 2019
  13. Shishko R (1995) NASA systems engineering handbook. National Aeronautics and Space Administration, Washington, DCGoogle Scholar
  14. Singh N, Browne LM, Butler R (2013) Parallel astronomical data processing with Python: recipes for multicore machines. Astron Comput 2(8):1–10CrossRefGoogle Scholar
  15. SpaceX (2017) Spacex V-band non-geostationary satellite system attachment a technical information to supplement schedule S. International Bureau Application Filing and Reporting System, FCC. Available at:
  16. Statista Inc (2019a) Global consumer internet traffic by region. Accessed 15 Mar 2019
  17. Statista Inc (2019b) Number of internet users worldwide. Accessed 15 Mar 2019
  18. Vallado DA (2001) Fundamentals of astrodynamics and applications, 2nd edn. Microcosm Press, El SegundozbMATHGoogle Scholar
  19. Visser R (2019) The effect of the internet on the margins of trade. Inf Econ Policy 46(3):41–54CrossRefGoogle Scholar
  20. Wertz JR, Everett DF, Puschell JJ (2011) Space mission engineering: the new SMAD. Microcosm Press, HawthorneGoogle Scholar
  21. Zlatić V, Štefančić H (2011) Model of Wikipedia growth based on information exchange via reciprocal arcs. Europhys Lett 93(5):58005CrossRefGoogle Scholar

Authors and Affiliations

  1. 1.Skolkovo Institute of Science and TechnologyMoscowRussia

Section editors and affiliations

  • Maarten Adriaensen
    • 1
  1. 1.European Space AgencyParisFrance

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