Free access
Back Matter
Oct 13, 2023

Back Matter for Premise Plumbing Modeling

Publication: Premise Plumbing Modeling

Abstract

Back matter pages come after the papers or chapters in a published work. This back matter contains an index.

Formats available

You can view the full content in the following formats:

2RA model
68
Abbreviations
145–151
Acanthamoeba
70
ACORN groups
19
Advection-dispersion (AD) equation
58–60
American National Standards Institute (ANSI)
153
American Society of Plumbing Engineers (ASPE)
10
Amoeba-resisting microorganisms (ARMs)
73
ARMs
. See amoeba-resisting microorganisms
ASHRAE 90.1
96
ASHRAE 188
163–164
ASPE
. See American Society of Plumbing Engineers
AWWA's M22 Manual of Water Supply Practice
10, 14
Backflow prevention valves
47–48
BIM
. See building information models
Biofilms
56, 66, 72–76
detachment
mathematical models for
75
and removal mechanisms
76
release models
75–76
and species growth models
72–75
Bottom-up approach of demand assignment (BUA)
16
Branch line, hot water systems
90
Brass
55
Building information models (BIM)
137–139
data management system for information on piping layouts
139
direct linkages to models
139
display mechanism
138
interoperability, platform for
138
Building water management programs
162–163
California building energy efficiency (case study)
92–94
CDF
. See cumulative distribution functions
Chick-Watson model
77
CHIPS and Science Act of 2022
29
Chlorinated polyvinyl chloride (cPVC) pipes
48, 50
Chlorine
66
Civil and environmental engineers (CEE)
29
Clean water
8; See also drinking water
Climate change/aging water infrastructure in Cincinnati (case study)
141–142
Collecting peak water-use readings
10
Community water systems
64
Computational fluid dynamics (CFD) modeling
57, 107
Computer-based analysis tools for WDS
103–105
Copper
55–56, 63–64, 66
Corrosion products
2, 63–64
COVID-19 Pandemic effect on peak water demand (case study)
23–27
during complete lockdown
24–26
on daily pattern of residential users
24–26
in district metered area
24
CPIS
. See cumulative pressure-induced stress
Cross-linked polyethylene (PEX) pipes
48, 50, 55, 64, 67–68
CRTD
. See cumulative residence time distribution
Cumulative distribution functions (CDF)
25–26
Cumulative pressure-induced stress (CPIS)
45
Cumulative residence time distribution (CRTD)
61–62
DAQs
. See data acquisition systems
Darcy–Weisbach equation
40
Data acquisition systems (DAQs)
100
Dataloggers
100
Demand simulation
30–31
Digital twins
139–140
Disinfectant chemicals
55–56
Disinfectant residual
64–68
Disinfection
76–79
Disinfection by-product (DBP)
66, 68–69
Dispersion
54–55
AD equation
58–60
within circular pipe
58–62
in laminar flow
58–62
longitudinal dispersion coefficient
60
in transitional flow
58–62
in turbulent flow
58–62
Distribution of busy fixtures
9
District metered area (DMA)
24, 27
Drinking water
1, 8
demand
16–17
disinfection models
77
diurnal patterns of
15–16
Drinking water distribution systems (DWDS)
16
Dutch water system
94
DWDS
. See drinking water distribution systems
Education
49
Energy Policy Act (EPA)
2, 9
Environmental Protection Agency (EPA)
140
Environmental Water Resources Institute (EWRI)
3
EPA
. See Energy Policy Act
EPANET
57, 68–69, 104, 109–110
Erosion corrosion
49
Fixtures
39, 47
Fixture supply
156
Fixture-unit concept
10
Fixture Unit (FU) method
153
Fixture value
10
Flow and pressure modeling
105–106
Galvanized steel
55
Gaseous cavitation
48–49
Hazen-Williams equation
40
Hom and Haas models
77
Hot water heater
54
Hot water recirculation system
91–92
Hot water systems
87–97
branch line
90
California building energy efficiency (case study)
92–94
characteristics
90
codes and technology on Legionella risk and energy efficiency
96–97
layout of
88
Legionella outbreak in (case study)
95–96
main line
90
nonrecirculated
87–88
phases of
89
physical phenomena
89
real-world example of
88–89
recirculation system
91–92
simulation of energy consumption for hot water using stochastic model (case study)
94–95
temperature
89
trunk line
90
twig line
90
types of
91–92
viscosity of
89–90
Hunter, Roy
9
Hunter Number (H)
11–12
Hunter's curve
9, 153–154
Hydraulic control devices
37–38, 46, 49–50
parameters
168
in premise plumbing systems
38–40, 105–108
CFD models
107
demand modeling
105
flow and pressure modeling
105–106
implications
161–162
limitations of
107–108
transient models
106–107
water quality modeling
106
transients
in PPS
40–42, 50
in WDS
42–46, 50
IAPMO
. See International Association of Plumbing and Mechanical Officials
Indoor sprinklers
8
Indoor water use
8–9; See also peak water demand
Inorganics
63–64
Installation
48
Instrumentation for PPM
99–102, 167–171
considerations for
99–100
data acquisition/collection
100
data management
101
location and placement of sensor
100
power requirements
101
sensor selection
100
energy parameters
171
hydraulic parameters
168
overview
99–101
sensor setup, example
101–102
water quality parameters
169–171
International Association of Plumbing and Mechanical Officials (IAPMO)
10
International Plumbing Code (IPC)
153
Intrusions, water supply system
1
Kinetic chlorine decay
68–69
Lead
55–56, 63–64, 118–123
dissolved
118–120
model results
121–123
particulate
120–121
Leaks
8
Legionella pneumophila
55–56, 70, 72–74, 77–79, 95–97
Legionnaires’ disease
1, 56, 95–97
Longitudinal dispersion coefficient
60
M. avium
70
Main line, hot water systems
90
Maintenance, preventive
49
Meters
28
Mixed-use buildings
29–30
Modified fixture-unit values
10
Monochloramine
66
Monte-Carlo-based stochastic model
94
Multifamily buildings, water use in
27–28
N. fowleri
70
National Institute of Standards and Technology (NIST)
29, 140–141
National Standard Plumbing Code (NSPC)
153
Natural gas
94
New age dawning
29
NIST
. See National Institute of Standards and Technology
Nitrification
66–67
Nonrecirculated hot water systems
87–88
Nonresidential water demand
16
Opportunistic premise plumbing pathogens (OPPPs)
1–3, 56, 69–72
OPPPs
. See opportunistic premise plumbing pathogens
Outdoor water use
8
P. aeruginosa
70
Peak estimation
29–30
Peak water demand
9–14
alternatives to Hunter's curve
10
calculator
11–14
algorithms​
11–13
software
13–14
COVID-19 Pandemic effect on (case study)
23–27
definition of
9
diurnal patterns
15–16
effect of weather on
19–23
Hunter's curve
9
metering and
28
modeling approaches
16–17
model resolution
16
in multifamily buildings
27–28
other factors affecting
27–29
Poisson rectangular pulse models
18
pricing and
28
pump technology and
46–47
residential water demands, multiple factors on
27
SIMDEUM model
17–18
task group initiative
10–11
Pipe
features
54–55
materials
46, 48, 55, 57, 66
sizing methods
vs. hydraulic modeling
161
used in United States
153–156
sizing nomograph
155–156
velocity profiles
58–59
Plastic piping
55, 64, 67–68
Plumbing codes to design 45-unit apartment building (case study)
157–160
Plumbing materials
55
Plumbing systems
8
components
8
configurations
8
usage profiles
8
Point-of-entry (POE) devices
2
Poisson-binomial distribution
12
Poisson rectangular pulse (PRP) model
18
Polymers
48
Power supplies
101
PPM
. See premise plumbing modeling
PPS
. See premise plumbing systems
Premise plumbing design vs. modeling
160
Premise plumbing information management
136
Premise plumbing modeling (PPM)
3, 7–8
applications and limitations of
103–128
hydraulic
105–108
water quality applications
114–127
water security applications
108–114
demand pattern
16
future of
133–142
building information models (BIM)
137–139
climate change/aging water infrastructure in Cincinnati (case study)
141–142
digital twins
139–140
premise plumbing information management
136
premise plumbing stakeholder engagement
140–141
smart water sensors
134–136
instrumentation for
99–102
Task Committee
3
temporal scale
16
webinar series on
173–177
Premise plumbing pathogens
69–70
Premise plumbing stakeholder engagement
140–141
Premise plumbing systems (PPS)
1–3, 49–50
boundary condition for
38, 40
demands
39
fixtures
39
hot water systems in
87–97
hydraulic models in
38–40, 105–108
CFD models
107
demand modeling
105
flow and pressure modeling
105–106
implications
161–162
limitations of
107–108
transient models
106–107
water quality modeling
106
hydraulics transients in
40–42, 106–107
transient I
40–42
transient II
41–42
transient III
41–42
modern, challenges with
46–49
backflow prevention valves
47–48
education
49
fixture
47
installation
48
materials
48
preventive maintenance
49
pump technology and peak water demand
46–47
temperature mixing valves
47
up-feed systems in high-rise buildings
47
workmanship
48
in residential buildings
39
risk and decision-making for (case study)
123–125
steady-state hydraulics within
38
water quality modeling in
53–79, 114–127
biofilms concern
72–76
concerns, examples of
62–79
disinfectant residual
64–68
disinfection by-product formation modeling
68–69
disinfection concern
76–79
inorganics concern
63–64
kinetic chlorine decay
68–69
mixing and longitudinal dispersion within circular pipe
58–62
OPPPs
69–72
vs. WDS, network feature
104
Pressure
48–49, 105–106, 156–157
Pricing, water
28
Primary pathogens
69–70
Public health and safety issues
1–3
Pump technology
46–47
Residence time distribution (RTD)
61
Residential indoor fixtures
10
Residential water demands
27
Residual disinfectants
64–68
Reynolds numbers
54, 58–60
Rovigo, Italy
24
RTD
. See residence time distribution
Secondary disinfectant
64
Sensors
100
SIMDEUM-DW
18
SIMDEUM-HW
17–18
SIMDEUM model
15, 17–18, 94, 105
applications
18
categories of Dutch residential water users in
15
for drinking water demand patterns
17
input into
17
temporal resolution in
17–18
SIMDEUM-WW
17–18
Simulation of energy consumption for hot water using stochastic model (case study)
94–95
Single species, microbial growth models for
74
Smart Water Network (SWN)
43–44
Smart water sensors
134–136
Social distancing policy
24
Stagnation
1
Street-level pressure
38–39
Surface Water Treatment Rule
64
SWN
. See Smart Water Network
Tap
8
Task Committee of PPM
3
Task group initiative
10–11
Taylor's expression for turbulent flow Equation
60
Temperature
49, 116–118
Temperature mixing valves
47
Top-down approach of demand assignment (TDA)
16–17
Trihalomethane (THM)
69
Trunk line, hot water systems
90
Twig line, hot water systems
90
UC
. See University of Cincinnati
Uniform Plumbing Code
13–14, 153
University of Cincinnati (UC)
10
Up-feed systems in high-rise buildings
47
Variable rate coefficient (VRC model)
68
Veterans Health Administration (VHA) hospital system
96
Water age
53–54, 114–115
Waterborne diseases
1
Water conservation
1–2
Water consumption
8
indoor
8
in multifamily buildings
27–28
outdoor
8
Water Demand Calculator (WDC)
11–14, 105, 154
algorithms
11–13
for commercial and institutional buildings
29
duration of peak demand
30
exhaustive enumeration (ExEn)
12
input/output template for
13–14
for mixed-use buildings
29–30
software
13–14
universal dimensionless curve for peak demands
30
web-based version of
14
and Wistort method
12
Water Distribution Systems Analysis (WDSA) Committee
3
Water distribution system (WDS)
37–38
in Adelaide (Australia)
43–44
computer-based analysis tools for
103–105
drinking, integrity of
37
hydraulic
37–38, 42–46
physical
37
quality
37
hydraulics transients in
42–46
vs. PPS, network feature
104
in United Kingdom
43
Water efficiency
1–2
Water fixture
8
Water management program development
163–164
Water meters
28
Water pricing
28
Water quality
1, 106, 114–127
behavior of premise plumbing system
8
in buildings
53
corrosion products and
2
monitoring
164–165
parameters
169–171
in PPS
53–79
biofilms concern
72–76
concerns, examples of
62–79
disinfectant residual
64–68
disinfection by-product formation modeling
68–69
disinfection concern
76–79
inorganics concern
63–64
kinetic chlorine decay
68–69
mixing and longitudinal dispersion within circular pipe
58–62
OPPPs
69–72
public health and safety issues and
1–3
water age and
53–54
Water quality applications
114–127
general constituent modeling
115–116
limitations of
125–127
risk and decision-making for (case study)
123–125
temperature
116–118
water age modeling
114–115
Water Quality Association (WQA)
10
Water Research Foundation (WRF)
140
Water security applications
108–114
in large venues
111–114
residential scale
109–110
Water supply networks
50, 54
WDC
. See Water Demand Calculator
WDS
. See water distribution system
Weather effect on peak water demand (study)
19–23
data
19–20
methodology
20
overview
19
results
20–23
Webinar series on PPM
173–177
Wistort, Robert
12
Wistort method
12
Workmanship
48
WQA
. See Water Quality Association

Information & Authors

Information

Published In

Go to Premise Plumbing Modeling
Premise Plumbing Modeling
Pages: 179 - 184
Editors: Juneseok Lee, Ph.D., P.E., D.WRE, Jonathan B. Burkhardt, Ph.D., Steven Buchberger, Ph.D., P.E., Walter Grayman, Ph.D., P.E., D.WRE, Terranna Haxton, Ph.D., Robert Janke, Regan Murray, Ph.D., and William E. Platten III, Ph.D.
ISBN (Online): 978-0-7844-8510-1

History

Published online: Oct 13, 2023

Permissions

Request permissions for this article.

Authors

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share