A two-stage stochastic programming model for industrial adjustment on water and energy resources in Guangdong Province, China

DOI

10.2991/iceep-17.2017.29How to use a DOI?

Keywords

Industrial adjustment; Two-stage stochastic programming; Water resources; Energy.

Abstract

A two-stage stochastic programming (TSP) model is effective for industrial adjustment under limited and varied capacities of water and energy resources. In this paper, industrial adjustment in the future (i.e., the 13th five-year plan) was evaluated by a eatablished TSP model under limited and uncertain supply of water and energy resources. The developed method was demonstrated in Guangdong Province of China. The results indicated that the first-stage industrial planning would not be influenced by water and energy supply capacities when water supply would be sufficient (i.e., 8938 million m3). When the probability of water supply capacities would be 4491 million m3, economic benefits of three types of industries (i.e., manufacture of electrical machinery and equipment, textile garments, footwear and headgear, as well as food and tobacco) would reduce over 70 billion yuan.

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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TY  - CONF
AU  - Wencong Yue
AU  - Yanpeng Cai
AU  - Meirong Su
AU  - Zhi Dang
AU  - Mianmian Wang
AU  - Zhifeng Yang
PY  - 2017/06
DA  - 2017/06
TI  - A two-stage stochastic programming model for industrial adjustment on water and energy resources in Guangdong Province, China
BT  - Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)
PB  - Atlantis Press
SP  - 172
EP  - 176
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-17.2017.29
DO  - 10.2991/iceep-17.2017.29
ID  - Yue2017/06
ER  -