Optimization of water resource dispatching for Huanghua Port under uncertain water usage scenario
- 1. School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029 (China)
- 2. Information Center of State Energy Group Huanghua Port Company Limited, Hebei, Huanghua 061113 (China)
Description
Highlights: • Take Huanghua Port as an example to study the water resource dispatching in the construction of green intelligent port. • A multi-objective programming model of water cost and energy consumption is established considering the uncertain scenarios. • The multi-objective programming model is transformed into a single-objective programming model, with a solution algorithm. • The experimental results show that the optimal scheme can significantly reduce the water cost and energy consumption. • This study provides decision-making reference for the green intelligent port construction of Huanghua Port and other ports. In recent years, large-scale coal bulk cargo ports have been vigorously promoting the green and intelligent construction, it is an important problem for them to manage water resources scientifically and effectively to realize energy conservation and environmental protection under uncertain circumstances. Taking Huanghua Port of Shenhua Group in China as an example, firstly, through a systematic review of the water resource dispatching infrastructures and production operations, the four-level water resource dispatching framework of Huanghua Port was obtained. Secondly, an uncertain multi-objective programming model is constructed to comprehensively consider the cost of water purchase, the energy consumption of water diversion, and the uncertainty of water usage. Then, an algorithm is designed according to the characteristics of the model. Finally, the applicability and effectiveness of the water resource dispatching framework, optimization model, and solution algorithm are verified by the analysis of 8 typical production water scenarios. This study not only provides Huanghua Port with a water resource dispatching optimization solution but also provides a decision-making reference for the green and intelligent transformation and upgrading of other large-scale coal bulk ports.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.scitotenv.2020.141597Additional details
Identifiers
- DOI
- 10.1016/j.scitotenv.2020.141597;
- PII
- S0048969720351263;
Publishing Information
- Journal Title
- Science of the Total Environment
- Journal Volume
- 751
- Journal Page Range
- vp.
- ISSN
- 0048-9697
- CODEN
- STENDL
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54061099
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- ALGORITHMS; DESIGN; ENVIRONMENTAL PROTECTION; OPTIMIZATION; PROGRAMMING; WATER RESOURCES
- Descriptors DEC
- MATHEMATICAL LOGIC; RESOURCES
Optional Information
- Copyright
- Copyright (c) 2020 Elsevier B.V. All rights reserved.