Proceedings of the 2015 4th International Conference on Sustainable Energy and Environmental Engineering

Optimization of the typical environmental problem based on energy conservation and emission reduction

Authors
Baoyou Liu, Tao Wang
Corresponding Author
Baoyou Liu
Available Online April 2016.
DOI
10.2991/icseee-15.2016.47How to use a DOI?
Keywords
environmental problem; optimization; energy conservation and emission reduction; air pollution; MATLAB
Abstract

A better project can always be obtained by system optimization of the typical environmental problems. In order to explore the optimal schedule arrangement, an operational research model based on the shortest path problem is put forward and resolved by MATLAB. The results showed that the whole trip distance of optimized schedule is 20689 km, which reduced 12.08% compared with that of a random schedule arrangement. At the same time, 2.16175 tons of fuel can be saved and 6.50525kg of SO2 can be reduced. The study has certain guiding significance for relevant department in making environmental protection plan.

Copyright
© 2016, 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 2015 4th International Conference on Sustainable Energy and Environmental Engineering
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/icseee-15.2016.47
ISSN
2352-5401
DOI
10.2991/icseee-15.2016.47How to use a DOI?
Copyright
© 2016, 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  - Baoyou Liu
AU  - Tao Wang
PY  - 2016/04
DA  - 2016/04
TI  - Optimization of the typical environmental problem based on energy conservation and emission reduction
BT  - Proceedings of the 2015 4th International Conference on Sustainable Energy and Environmental Engineering
PB  - Atlantis Press
SP  - 274
EP  - 277
SN  - 2352-5401
UR  - https://doi.org/10.2991/icseee-15.2016.47
DO  - 10.2991/icseee-15.2016.47
ID  - Liu2016/04
ER  -