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Using Statistical Analysis to Examine the Relationship between Hydraulic Characteristics and Pipe-Level Energy Performance.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Using Statistical Analysis to Examine the Relationship between Hydraulic Characteristics and Pipe-Level Energy Performance./
Author:	Hashemi, Saeed.
Description:	1 online resource (173 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 76-07C.
Contained By:	Dissertation Abstracts International76-07C.
Subject:	Civil engineering. -
Online resource:	click for full text (PQDT)

Using Statistical Analysis to Examine the Relationship between Hydraulic Characteristics and Pipe-Level Energy Performance.
Hashemi, Saeed.

Using Statistical Analysis to Examine the Relationship between Hydraulic Characteristics and Pipe-Level Energy Performance. - 1 online resource (173 pages)

Source: Dissertation Abstracts International, Volume: 76-07C.

Thesis (Ph.D.)--Queen's University (Canada), 2018.

Includes bibliographical references

Energy efficiency has been a long standing issue faced by municipal managers when dealing with water distribution systems as these systems are energy intensive. Perhaps energy in per se is one of the most widely used indicators in identifying how well a distribution network is running. This study brings the idea of energy auditing from the network level to the pipe level by means of a set of novel energy metrics. This way once analysed a system would merit values for each pipe which helps to distinguish low from high-efficiency pipes in large networks.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

Subjects--Topical Terms:

561339
Civil engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Using Statistical Analysis to Examine the Relationship between Hydraulic Characteristics and Pipe-Level Energy Performance.
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245 1 0 $a Using Statistical Analysis to Examine the Relationship between Hydraulic Characteristics and Pipe-Level Energy Performance.
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300 $a 1 online resource (173 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 76-07C.
500 $a Advisers: Yves Filion; Vanessa Speight.
502 $a Thesis (Ph.D.)--Queen's University (Canada), 2018.
504 $a Includes bibliographical references
520 $a Energy efficiency has been a long standing issue faced by municipal managers when dealing with water distribution systems as these systems are energy intensive. Perhaps energy in per se is one of the most widely used indicators in identifying how well a distribution network is running. This study brings the idea of energy auditing from the network level to the pipe level by means of a set of novel energy metrics. This way once analysed a system would merit values for each pipe which helps to distinguish low from high-efficiency pipes in large networks.
520 $a The originality of this work is guaranteed by examining the energy dynamics of pipes across 18 systems in North America including over 40,000 pipes, ensuring the diversity of characteristics and the statistical significance of findings. Multivariate statistical analyses including correlation, regression and Principal Component Analysis (PCA) are employed to find relationships between energy metrics and hydraulic factors. Also, common practice unit headloss thresholds as well as replacement approaches are put into perspective from an energy standpoint. Energy efficiency has been a long standing issue faced by municipal managers when dealing with water distribution systems as these systems are energy intensive. Perhaps energy in per se is one of the most widely used indicators in identifying how well a distribution network is running. This study brings the idea of energy auditing from the network level to the pipe level by means of a set of novel energy metrics. This way once analysed a system would merit values for each pipe which helps to distinguish low from high-efficiency pipes in large networks. The originality of this work is guaranteed by examining the energy dynamics of pipes across 18 systems in North America including over 40,000 pipes, ensuring the diversity of characteristics and the statistical significance of findings. Multivariate statistical analyses including correlation, regression and Principal Component Analysis (PCA) are employed to find relationships between energy metrics and hydraulic factors. Also, common practice unit headloss thresholds as well as replacement approaches are put into perspective from an energy standpoint.
520 $a Chapter 3 introduces a set of pipe-level energy metrics and shows how location and flow intensity (as a result of diurnal changes of demand) can affect energy metrics in pipes. Technical Chapter 4 illustrates that energy indicators such as Net Energy Efficiency (NEE) and Energy Lost to Friction (ELTF) would be driven by average unit headloss. Subsequently, using regression analysis mathematical relationships between unit headloss and the two metrics of NEE and ELTF are explored to assess common-practice unit headloss thresholds as well as stricter ones, regarding efficiency. Stricter levels of NEE and ELTF energy based upon thresholds of unit headloss are expected, though at high cost.
520 $a PCA results in technical Chapter 5 reveal relative importance of hydraulic parameters in energy efficiency. Also, some factors such as diameter and CHW are not as key as typically expected by water utilities in earmarking low-efficiency pipes. Further, efficiency as a missing link in common-practice replacement approaches can add value to bigger asset management landscape.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Civil engineering. $3 561339
650 4 $a Hydraulic engineering. $3 848144
655 7 $a Electronic books. $2 local $3 554714
690 $a 0543
690 $a 0218
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Queen's University (Canada). $3 1148613
773 0 $t Dissertation Abstracts International $g 76-07C.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10857275 $z click for full text (PQDT)