IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v35y2021i10d10.1007_s11269-021-02892-6.html
   My bibliography  Save this article

Optimal Model of Desalination Planning Under Uncertainties in a Water Supply System

Author

Listed:
  • Zongzhi Wang

    (Nanjing Hydraulic Research Institute)

  • Ailing Ye

    (Nanjing Hydraulic Research Institute
    POWERCHINA-Chengdu Engineering Co. Ltd)

  • Kelin Liu

    (Nanjing Hydraulic Research Institute)

  • Liting Tan

    (Nanjing Hydraulic Research Institute
    Hohai University)

Abstract

A requirement for developing desalination efforts in coastal regions suffering water scarcity is proposed to address the increased water demand and limited traditional water supply. The determination of a plant capacity and water allocation scheme in a multiple-source water supply system, as the first problem in planning desalination under streamflow and water demand uncertainties, remains a challenge. To address this gap, an interval-parameter two-stage stochastic programming model is developed in this study. The first-stage problem is to determine a proper desalination plant capacity, and the second is the development of a water allocation scheme under the uncertainties of natural streamflows, water demands, benefits and economic losses. The objective function is to maximize the net benefit of the system, and the cost function of desalination, including capital and operational costs, implying environmental impact, is linearized within a range of plant capacities to solve the model. The proposed approach is applied to an urban area of Weihai in China to illustrate the validity of the model. The results suggest a capacity of 46 × 103 m3/d in 2030 and 55 × 103 m3/d in 2040. Sensitivity analyses of the parameters indicate that a decrease in the unit price of electricity leads to an increase in the utilization level of desalinated seawater. A complementary relationship was observed between reclaimed water and desalinated seawater, in that a decrease in the use rate of reclaimed water from 0.38 to 0.18 led to a 15% increase in desalinated plant capacity.

Suggested Citation

  • Zongzhi Wang & Ailing Ye & Kelin Liu & Liting Tan, 2021. "Optimal Model of Desalination Planning Under Uncertainties in a Water Supply System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3277-3295, August.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:10:d:10.1007_s11269-021-02892-6
    DOI: 10.1007/s11269-021-02892-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-021-02892-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-021-02892-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Maqsood, Imran & Huang, Guo H. & Scott Yeomans, Julian, 2005. "An interval-parameter fuzzy two-stage stochastic program for water resources management under uncertainty," European Journal of Operational Research, Elsevier, vol. 167(1), pages 208-225, November.
    2. Chen, Shu & Shao, Dongguo & Gu, Wenquan & Xu, Baoli & Li, Haoxin & Fang, Longzhang, 2017. "An interval multistage water allocation model for crop different growth stages under inputs uncertainty," Agricultural Water Management, Elsevier, vol. 186(C), pages 86-97.
    3. Li, Mo & Guo, Ping, 2015. "A coupled random fuzzy two-stage programming model for crop area optimization—A case study of the middle Heihe River basin, China," Agricultural Water Management, Elsevier, vol. 155(C), pages 53-66.
    4. Binglong Wang & Yanpeng Cai & Xin’An Yin & Qian Tan & Yan Hao, 2017. "An Integrated Approach of System Dynamics, Orthogonal Experimental Design and Inexact Optimization for Supporting Water Resources Management under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(5), pages 1665-1694, March.
    5. Xiaojing Shen & Xu Wu & Xinmin Xie & Chuanjiang Wei & Liqin Li & Jingjing Zhang, 2021. "Synergetic Theory-Based Water Resource Allocation Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2053-2078, May.
    6. Yin Su & Weijun Gao & Dongjie Guan & Tai’an Zuo, 2020. "Achieving Urban Water Security: a Review of Water Management Approach from Technology Perspective," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(13), pages 4163-4179, October.
    7. Bing Yu & Chi Zhang & Yunzhong Jiang & Yu Li & Huicheng Zhou, 2017. "Conjunctive use of Inter-Basin Transferred and Desalinated Water in a Multi-Source Water Supply System Based on Cost-Benefit Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(11), pages 3313-3328, September.
    8. Sebastián Herrera-León & Freddy Lucay & Andrzej Kraslawski & Luis A. Cisternas & Edelmira D. Gálvez, 2018. "Optimization Approach to Designing Water Supply Systems in Non-Coastal Areas Suffering from Water Scarcity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(7), pages 2457-2473, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. António Freire Diogo & Ricardo Alves Resende & António Luís Oliveira, 2021. "Optimised Selection of Water Supply and Irrigation Sources—A Case Study on Surface and Underground Water, Desalination, and Wastewater Reuse in a Sahelian Coastal Arid Region," Sustainability, MDPI, vol. 13(22), pages 1-24, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Shu & Shao, Dongguo & Tan, Xuezhi & Gu, Wenquan & Lei, Caixiu, 2017. "An interval multistage classified model for regional inter- and intra-seasonal water management under uncertain and nonstationary condition," Agricultural Water Management, Elsevier, vol. 191(C), pages 98-112.
    2. Chen, Shu & Xu, Jijun & Li, Qingqing & Tan, Xuezhi & Nong, Xizhi, 2019. "A copula-based interval-bistochastic programming method for regional water allocation under uncertainty," Agricultural Water Management, Elsevier, vol. 217(C), pages 154-164.
    3. Li, Mo & Guo, Ping & Singh, Vijay P. & Yang, Gaiqiang, 2016. "An uncertainty-based framework for agricultural water-land resources allocation and risk evaluation," Agricultural Water Management, Elsevier, vol. 177(C), pages 10-23.
    4. Wang, Taishan & Zhang, Junlong & You, Li & Zeng, Xueting & Ma, Yuan & Li, Yongping & Huang, Guohe, 2023. "Optimal design of two-dimensional water trading considering hybrid “three waters”-government participation for an agricultural watershed," Agricultural Water Management, Elsevier, vol. 288(C).
    5. Yutong Tian & Chunhui Li & Yujun Yi & Xuan Wang & Anping Shu, 2020. "Dynamic Model of a Sustainable Water Resources Utilization System with Coupled Water Quality and Quantity in Tianjin City," Sustainability, MDPI, vol. 12(10), pages 1-20, May.
    6. Allison Lassiter & Nicole Leonard, 2022. "A systematic review of municipal smart water for climate adaptation and mitigation," Environment and Planning B, , vol. 49(5), pages 1406-1430, June.
    7. Yue Ren & Xin Sun & Paul Wolfram & Shaoqiong Zhao & Xu Tang & Yifei Kang & Dongchang Zhao & Xinzhu Zheng, 2023. "Hidden delays of climate mitigation benefits in the race for electric vehicle deployment," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    8. Liuyue He & Sufen Wang & Congcong Peng & Qian Tan, 2018. "Optimization of Water Consumption Distribution Based on Crop Suitability in the Middle Reaches of Heihe River," Sustainability, MDPI, vol. 10(7), pages 1-17, June.
    9. Weiwei Shao & Dawen Yang & Heping Hu & Kenji Sanbongi, 2009. "Water Resources Allocation Considering the Water Use Flexible Limit to Water Shortage—A Case Study in the Yellow River Basin of China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(5), pages 869-880, March.
    10. Zhou, Feng & Huang, Gordon H. & Chen, Guo-Xian & Guo, Huai-Cheng, 2009. "Enhanced-interval linear programming," European Journal of Operational Research, Elsevier, vol. 199(2), pages 323-333, December.
    11. Yue, Qiong & Guo, Ping, 2021. "Managing agricultural water-energy-food-environment nexus considering water footprint and carbon footprint under uncertainty," Agricultural Water Management, Elsevier, vol. 252(C).
    12. Wang, S. & Huang, G.H., 2015. "A multi-level Taguchi-factorial two-stage stochastic programming approach for characterization of parameter uncertainties and their interactions: An application to water resources management," European Journal of Operational Research, Elsevier, vol. 240(2), pages 572-581.
    13. Li, Y.P. & Huang, G.H. & Zhang, N. & Nie, S.L., 2011. "An inexact-stochastic with recourse model for developing regional economic-ecological sustainability under uncertainty," Ecological Modelling, Elsevier, vol. 222(2), pages 370-379.
    14. Mahdi Zarghami, 2010. "Urban Water Management Using Fuzzy-Probabilistic Multi-Objective Programming with Dynamic Efficiency," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(15), pages 4491-4504, December.
    15. Liu, Yuan & He, Li & Shen, Jing, 2017. "Optimization-based provincial hybrid renewable and non-renewable energy planning – A case study of Shanxi, China," Energy, Elsevier, vol. 128(C), pages 839-856.
    16. Vema, Vamsikrishna & Sudheer, K.P. & Chaubey, I., 2019. "Fuzzy inference system for site suitability evaluation of water harvesting structures in rainfed regions," Agricultural Water Management, Elsevier, vol. 218(C), pages 82-93.
    17. Liu, Yanyan & Huang, Guohe & Chen, Jiapei & Zhang, Xiaoyue & Zheng, Xiaogui & Zhai, Mengyu, 2022. "Development of an optimization-aided small modular reactor siting model – A case study of Saskatchewan, Canada," Applied Energy, Elsevier, vol. 305(C).
    18. Hao Yang & Wei He & Yu Li, 2022. "Optimization of Ecological Water Replenishment Scheme Based on the Interval Fuzzy Two-Stage Stochastic Programming Method: Boluo Lake National Nature Reserve, Jilin Province, China," IJERPH, MDPI, vol. 19(9), pages 1-17, April.
    19. Chenglong Zhang & Qiong Yue & Ping Guo, 2019. "A Nonlinear Inexact Two-Stage Management Model for Agricultural Water Allocation under Uncertainty Based on the Heihe River Water Diversion Plan," IJERPH, MDPI, vol. 16(11), pages 1-18, May.
    20. Jiang, Yao & Xu, Xu & Huang, Quanzhong & Huo, Zailin & Huang, Guanhua, 2016. "Optimizing regional irrigation water use by integrating a two-level optimization model and an agro-hydrological model," Agricultural Water Management, Elsevier, vol. 178(C), pages 76-88.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:35:y:2021:i:10:d:10.1007_s11269-021-02892-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.