Detection of Pipes Decreasing Residual Chlorine Via Wall Reaction Coefficient in Water Distribution Networks

Miraç Eryiğit

Makale detayları

Detection of Pipes Decreasing Residual Chlorine Via Wall Reaction Coefficient in Water Distribution Networks

Yazarlar:

Miraç Eryiğit

Yayıncı:

Zonguldak Bulent Ecevit University

Ana Başlıklar:

Çevre Mühendisliği (Diğer)

Dergi:

Karaelmas Fen ve Mühendislik Dergisi Vol.14 Issue 3, pp.86-94

Belge Tipi:

Makale

Yayın Tarihi:

11/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001331998

pISSN:

2146-7277

Anahtar kelimeler:

Özet:

 This paper intended to build an optimization model utilizing the modified clonal selection algorithm one of the famous heuristic optimization techniques to detect pipes which reduces a residual chlorine in the water distribution networks WDNs. MATLAB programming language was used to code the model linked with EPANET. The model performance was evaluated in a two-loop hypothetical WDN under steady-state flow conditions. In nodes of this hypothetical WDN, free chlorine concentrations were assumed to be measured since an objective function depends on model calibration. Pipes decreasing residual chlorine concentrations were determined by running the model which minimizes a total of concentration differences between estimated and measured free chlorine in each node. In order to find these pipes, pipe wall reaction rate coefficients were utilized. The model was run 10 times to obtain average reaction rate coefficient of each pipe in the WDN. After 10 runs, mean estimated and actualreal reaction rate coefficient values were almost equal R20.99. The optimization model appeared to be viable for detecting pipes causing a residual chlorine loss in the WDN.

 This paper intended to build an optimization model utilizing the modified clonal selection algorithm one of the famous heuristic optimization techniques to detect pipes which reduces a residual chlorine in the water distribution networks WDNs. MATLAB programming language was used to code the model linked with EPANET. The model performance was evaluated in a two-loop hypothetical WDN under steady-state flow conditions. In nodes of this hypothetical WDN, free chlorine concentrations were assumed to be measured since an objective function depends on model calibration. Pipes decreasing residual chlorine concentrations were determined by running the model which minimizes a total of concentration differences between estimated and measured free chlorine in each node. In order to find these pipes, pipe wall reaction rate coefficients were utilized. The model was run 10 times to obtain average reaction rate coefficient of each pipe in the WDN. After 10 runs, mean estimated and actualreal reaction rate coefficient values were almost equal R20.99. The optimization model appeared to be viable for detecting pipes causing a residual chlorine loss in the WDN.

 This paper intended to build an optimization model utilizing the modified clonal selection algorithm one of the famous heuristic optimization techniques to detect pipes which reduces a residual chlorine in the water distribution networks WDNs. MATLAB programming language was used to code the model linked with EPANET. The model performance was evaluated in a two-loop hypothetical WDN under steady-state flow conditions. In nodes of this hypothetical WDN, free chlorine concentrations were assumed to be measured since an objective function depends on model calibration. Pipes decreasing residual chlorine concentrations were determined by running the model which minimizes a total of concentration differences between estimated and measured free chlorine in each node. In order to find these pipes, pipe wall reaction rate coefficients were utilized. The model was run 10 times to obtain average reaction rate coefficient of each pipe in the WDN. After 10 runs, mean estimated and actualreal reaction rate coefficient values were almost equal R20.99. The optimization model appeared to be viable for detecting pipes causing a residual chlorine loss in the WDN.

 Bu çalışmada, su dağıtım şebekelerindeki bakiye kloru azaltan boruların tespit edilmesi için modifiye klonal seçim algoritması çok bilinen sezgisel optimizasyon tekniklerinden biri kullanan bir optimizasyon modeli inşa edilmesi amaçlanmıştır. Model, EPANET ile bağlantılı olarak MATLAB yazılım dilinde kodlanmıştır. Modelin performansı, kararlısabit akım koşulları altında iki gözlü farazi bir su dağıtım şebekesinde değerlendirilmiştir. Amaç fonksiyonu, model kalibrasyonuna dayalı olduğu için şebekenin düğüm noktalarında serbest klor konsantrasyonlarının ölçüldüğü kabul edilmiştir. Bakiye klor konsantrasyonlarını azaltan borular, her bir düğüm noktasındaki ölçülen ve tahmin edilen serbest klor konsantrasyonları arasındaki farkların toplamının minimize edilmesine bağlı olarak model tarafından belirlenmiştir. Boruların belirlenmesi için boru cidarı reaksiyon hız katsayılarından yararlanılmıştır. Model 10 kez çalıştırılarak su dağıtım şebekesindeki her bir borunun ortalama reaksiyon hız katsayıları elde edilmiştir. Model 10 kez çalıştırıldıktan sonra, ortalama tahmin ve gerçek reaksiyon hız katsayı değerlerinin hemen hemen aynı olduğu sonucuna varılmıştır R20.99. Su dağıtım şebekesindeki bakiye klor kaybına neden olan boruların tespit edilmesi için optimizasyon modelinin uygulanabilir olduğu görülmüştür.

Makale detayları

Detection of Pipes Decreasing Residual Chlorine Via Wall Reaction Coefficient in Water Distribution Networks

Yazarlar:

Miraç Eryiğit

Yayıncı:

Zonguldak Bulent Ecevit University

Ana Başlıklar:

Çevre Mühendisliği (Diğer)

Dergi:

Karaelmas Fen ve Mühendislik Dergisi Vol.14 Issue 3, pp.86-94

Belge Tipi:

Makale

Yayın Tarihi:

11/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001331998

pISSN:

2146-7277

Artificial immune systems

model calibration

pipe wall reaction coefficient

residual chlorine

water distribution networkYapay bağışıklık sistemleri

model kalibrasyonu

boru cidar reaksiyon katsayısı

bakiye klor

su dağıtım şebekesi

Sayı

Makale detayları

Yazarlar: Miraç Eryiğit

Yayıncı: Zonguldak Bulent Ecevit University

Ana Başlıklar: Çevre Mühendisliği (Diğer)

Dergi: Karaelmas Fen ve Mühendislik Dergisi Vol.14 Issue 3, pp.86-94

Belge Tipi: Makale

Yayın Tarihi: 11/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001331998

pISSN: 2146-7277

Sayı

Yazarlar:

Miraç Eryiğit

Yayıncı:

Zonguldak Bulent Ecevit University

Ana Başlıklar:

Çevre Mühendisliği (Diğer)

Dergi:

Karaelmas Fen ve Mühendislik Dergisi Vol.14 Issue 3, pp.86-94

Belge Tipi:

Makale

Yayın Tarihi:

11/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001331998

pISSN:

2146-7277