Determination of economic loss levels in water distribution systems with different network conditions by a district stochastic optimization algorithm

被引:2
作者
Yilmaz, Salih [1 ]
Ates, Abdullah [2 ]
Firat, Mahmut [3 ]
Ozdemir, Ozgur [4 ]
Cinal, Huseyin [5 ]
机构
[1] Cankiri Karatekin Univ, Civil Engn Dept, Cankiri, Turkiye
[2] Inonu Univ, Comp Engn Dept, Malatya, Turkiye
[3] Inonu Univ, Civil Engn Dept, Malatya, Turkiye
[4] Kayseri Water & Sewerage Adm, Kayseri, Turkiye
[5] Sakarya Water & Sewerage Adm, Sakarya, Turkiye
基金
美国国家科学基金会;
关键词
economic loss level; optimization; water distribution system; water losses; LEAKAGE; MANAGEMENT; REDUCTION;
D O I
10.2166/ws.2023.047
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Water losses in water distribution systems reach significant rates depending on the network characteristics. Various methods, which have initial investment and operating costs have been applied to reduce these losses. Therefore, appropriate and applicable methods should be preferred by considering the network characteristics. The aim of this study is to determine the economic loss level with an optimization algorithm for utilities with different network characteristics, water production, operating costs and institutional capacity. Three pilot utilities with different system characteristics and water loss components were selected as application areas. The non-revenue water rates are currently calculated as 57, 50 and 37%, respectively. The economic loss levels in the pilot utilities were calculated as 29, 16 and 23% with the optimization model. Moreover, the most appropriate methods to be applied according to the conditions of the utilities were determined in order to reach these defined economic loss levels. It is thought that the results obtained from this study will be a reference for the development of sustainable water loss management strategies and their implementation in the field.
引用
收藏
页码:1349 / 1361
页数:13
相关论文
共 44 条
[1]   Cost-Benefit Analysis of Leakage Reduction Methods in Water Supply Networks [J].
Ahopelto, Suvi ;
Vahala, Riku .
WATER, 2020, 12 (01)
[2]   Modelling the Leakage Rate and Reduction Using Minimum Night Flow Analysis in an Intermittent Supply System [J].
AL-Washali, Taha ;
Sharma, Saroj ;
AL-Nozaily, Fadhl ;
Haidera, Mansour ;
Kennedy, Maria .
WATER, 2019, 11 (01)
[3]   Using water consumption smart metering for water loss assessment in a DMA: a case study [J].
Alvisi, S. ;
Luciani, C. ;
Franchini, M. .
URBAN WATER JOURNAL, 2019, 16 (01) :77-83
[4]   Leakage estimation in developing country water networks based on water balance, minimum night flow and component analysis methods [J].
Amoatey, P. K. ;
Minke, R. ;
Steinmetz, H. .
WATER PRACTICE AND TECHNOLOGY, 2018, 13 (01) :96-105
[5]   Choosing the optimal technology to rehabilitate the pipes in water distribution systems using the AHP method [J].
Aschilean, Ioan ;
Badea, Gheorghe ;
Giurca, Ioan ;
Naghiu, George Sebastian ;
Iloaie, Florin George .
SUSTAINABLE SOLUTIONS FOR ENERGY AND ENVIRONMENT, EENVIRO 2016, 2017, 112 :19-26
[6]  
Ates A., 2020, IJST-T ELECTR ENG, P1
[7]  
Bishop N., 2019, WORLD ENV WAT RES C
[8]   Leveraging water infrastructure asset management for energy recovery and leakage reduction [J].
Bonthuys, Gideon Johannes ;
van Dijk, Marco ;
Cavazzini, Giovanna .
SUSTAINABLE CITIES AND SOCIETY, 2019, 46
[9]   Results from a water-saving maintenance campaign at Cape Town schools in the run-up to Day Zero [J].
Booysen, M. J. ;
Ripunda, C. ;
Visser, M. .
SUSTAINABLE CITIES AND SOCIETY, 2019, 50
[10]   Application of decision making model for leakage reduction to economic project in water distribution systems [J].
Choi, Gye Woon ;
Jo, Hyoung Geun ;
Park, Hyo Seon ;
Jang, Dong Woo .
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2020,