Optimal design of water distribution system using demand forecasting OLED model

被引：1
|
作者：
Lee, S. Y. [1 ]
Yoo, D. G. [1 ]
Kim, J. H. [1 ]
机构：
[1] Korea Univ, Coll Engn, Sch Civil Environm & Architecture Engn, Seoul 136713, South Korea
来源：
12TH INTERNATIONAL CONFERENCE ON COMPUTING AND CONTROL FOR THE WATER INDUSTRY, CCWI2013 | 2014年 / 70卷
关键词：
Life-cycle; Water distribution system. Optimal design; Harmony Search; LCEA; Demand forecasting; OPTIMIZATION; ALGORITHM;
D O I：
10.1016/j.proeng.2014.02.112
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this study a demand forecasting Optimal Life-cycle Energy Design (OLED) model is developed. The model enables the determination of life-cycle of existing Water Distribution Systems (WDSs) as well as optimal design of new WDSs. Harmony Search is used as the optimization algorithm with objective function minimizing energy expenditure per year. A WDS analysis program EPANET 2.0 is linked the optimal model for solving hydraulic constraints. Demand forecasting is also possible in the model to consider demand changes in the future. Results show that designing WDS with the developed model can minimize the environmental impact compared to some other conventional design methods.
引用
收藏
页码：1008 / 1016
页数：9
相关论文
共 50 条
  • [1] Optimal design based on reliability of water distribution system by linear model
    Tongji Univ, Shanghai, China
    J Hydrodyn, 1 (63-69):
  • [2] Demand forecasting for water distribution systems
    Chen, J.
    Boccelli, D. L.
    12TH INTERNATIONAL CONFERENCE ON COMPUTING AND CONTROL FOR THE WATER INDUSTRY, CCWI2013, 2014, 70 : 339 - 342
  • [3] The application of system dynamics model of city water demand forecasting
    Yang, Shengna
    Guo, Hua
    Li, Yan
    Liu, Junliang
    Energy Engineering and Environment Engineering, 2014, 535 : 440 - 445
  • [4] Optimal Node Grouping for Water Distribution System Demand Estimation
    Jung, Donghwi
    Choi, Young Hwan
    Kim, Joong Hoon
    WATER, 2016, 8 (04)
  • [5] IoT-based water demand forecasting and distribution design for smart city
    Narayanan, Lakshmi Kanthan
    Sankaranarayanan, Suresh
    JOURNAL OF WATER AND CLIMATE CHANGE, 2020, 11 (04) : 1411 - 1428
  • [6] Demand forecasting for irrigation water distribution systems
    Pulido-Calvo, I
    Roldán, J
    López-Luque, R
    Gutiérrez-Estrada, JC
    JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2003, 129 (06) : 422 - 431
  • [7] DEMAND FORECASTING FOR WATER DISTRIBUTION-SYSTEMS
    JOWITT, PW
    XU, CC
    CIVIL ENGINEERING SYSTEMS, 1992, 9 (02): : 105 - 121
  • [8] Water Demand Forecasting using Deep Learning in IoT Enabled Water Distribution Network
    Narayanan, L. K.
    Sankaranarayanan, S.
    Rodrigues, J. J. P. C.
    Kozlov, S.
    INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2020, 15 (06) : 1 - 15
  • [9] Model for Optimal Operation of Water Distribution Pumps with Uncertain Demand Patterns
    Puneet Khatavkar
    Larry W. Mays
    Water Resources Management, 2017, 31 : 3867 - 3880
  • [10] A model for optimal design of reliable water distribution networks
    Xu, C
    Goulter, IC
    HYDRAULIC ENGINEERING SOFTWARE VIII, 2000, 7 : 71 - 80
12345