Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

Research on the Orbital Debris Removing Business

Authors
Xiaohua Yang
Corresponding Author
Xiaohua Yang
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.314How to use a DOI?
Keywords
Orbital debris removing business, Principal components analysis, Profit Evaluate Model
Abstract

The increasing number of space debris is an ongoing problem which has caused a considerable harm to all kinds of spacecraft. The main target of this paper is to make an optimal business plan that private firms could adopt in the field of active debris removal (ADR). Thus, ADR is just simplified as a business practice. We discuss four ADR projects, including Laser Orbital Debris Removal, Cube Sail, Clean Space One, and Space Debris Micro Remover. The Profit Evaluate Model analyzes the overall profit and yearly profit under the criteria of various operating period; the Principal Component Analysis Model focuses on the evaluation of optional main factors. By applying those simulated parameters, we reach a conclusion that the best single project to remove space debris is Cube Sail.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.314
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.314How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaohua Yang
PY  - 2017/04
DA  - 2017/04
TI  - Research on the Orbital Debris Removing Business
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1658
EP  - 1665
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.314
DO  - 10.2991/icmmct-17.2017.314
ID  - Yang2017/04
ER  -