SlideShare a Scribd company logo
1 of 8
Download to read offline
ENERGY MANAGEMENT IN THE WET PROCESSING OF GREIGE
FABRICS
Presenting author: Debashish Banerjee CEO – Blackstone Synergy
Consulting group Limited, P.O. Box – 23365, Nairobi -00604, Kenya
db@blackstonesynergy.com
1. Introduction:
The wet processing industry in the fabrics is a prominent user when it comes to guzzling
energy especially as temperatures are required to be maintained apart from the
generation of the fluid pressure to desired levels. The fabric serves as the substrate for
the dye uptake and hence the movement configuration has a significant bearing on the
dye affinity as also the structural orientation for facilitating the dye penetration.
2. Conceptual points:
The non-linear load is often ignored but is the main source of the generation of the
harmonic distortions in the fundamental sinusoidal AC current curve; the key
components of the high energy consumption.
The steam quality is determined by the consistency of the ignition point of the water that
is brought to the level of state change and the enthalpy rate achieved in the transfer
mechanism involved for the said state change. The detailed analysis of this mechanism
has often been ignored in the processing industry albeit this is certainly the key in
energy conservation measures.
The electrolyte movement is another friction builder and is a potential energy guzzler in
the dye transfer mechanism; hence this is an area and an intense subject for exploring
improvements in the energy conservation process.
3. Research mechanism adopted:
3.1. The primary area of research was to correlate the dye strength within a batch with
the varying changes in the steam pressure and the corresponding heat transferred into
the system as measured by the temperature gauge. The boiler pressure was regulated
at different levels to record the changes in the transferred temperatures to the beaker.
3.2. The dye strength was measured using the Kubenka-Munk equation K/S = (1-
R2)/2R wherein R is the fractional reflectance and the K = coefficient of color absorption
while S = coefficient of scattering of color.
3.3. Table 1: Comparative analysis of transferred heat V/S Dye strength
Color strength comparative analysis on transferred heat
Boiler
pressure
Transferred temperature
as measured by the gauge
Fabric run speed
K/S (color strength
measure)
12 188 75 7.7
12.5 192 77 8.1
11.8 183 83 7.6
12.7 192 82 8.3
13.3 195 79 8.8
12.9 191 76 8.2
11.5 182 75 7.2
10.9 177 77 6.8
10.7 176 79 6.7
11.1 181 75 6.9
3.4.Inferences:
The relationships between the boiler pressure and the color strength characteristics as
determined by the X-rite color spectrophotometer were strong and hence merited
investigation from both energy conservation principles and the dyeing characteristics as
well.
The furnace oil boiler used in this trial recorded significant variations in the consumption
levels during the study period and the observed phenomenon had the following
reasons:
a) Fluid friction is known to increase with chemical degradation thereby raising the
operating temperatures and hence need to be contained to prevent precipitation of the
flash point lowering that might cause further irreversible damage to the properties of the
oil.
b) The variations in fluid friction cause drops in the steam pressure to be registered;
something that has far reaching implications for the dyeing quality and productivity
determined by the fabric run speed.
3.5. Solutions:
a) Car engine oil raised to a temperature of 80 to 85 degrees Celsius was used to dose
the furnace oil tank to the extent of 2% by volume and the experiment was repeated.
Following is the extract of the results:
Table 2: Solutions for the transferred heat V/S dye strength syndrome:
INFUSION OF CAR ENGINE OIL
@ 2%
Color strength comparative analysis on transferred heat
Boiler
pressure
Transferred temperature
as measured by the gauge
Fabric run
speed
K/S (color
strength
measure)
13.5 197 85 9.1
14 200 83 8.8
13.8 199 85 9.2
13.9 198 87 9.2
14.1 201 86 8.8
13.7 197 85 8.9
13.3 199 85 8.9
13.2 198 85 8.8
13.6 199 85 8.7
13.1 193 85 8.9
3.6.Inferences:
1) Productivity increase is observed through enhanced line speeds.
2.) The transferred heat is significantly higher
3) The important parameter of color strength is significantly improved.
The fuel consumption registered a gain of 8.21% with higher pressure and better fluid
friction dynamics owing to the flow properties of the oil.
3.7. Drive dynamics: Potential energy conservation measures:
The next area of focus in our study on the energy management initiatives was in the
area of drives. We registered the following readings:
PHASE
Water pump Intelli-drive - fundamental energy data
AMPERES VOLTAGE THD% KW KVAR KVA
R 26.79 425.2 2.18%
6.89 7.79 17.06Y 11.94 426.2 12.21%
B 30.93 427.8 8.91%
PHASE
IMBALANCES
159% 1% 460%
Water pump - Intelli-drive - Power Quality Data
PF tan 
Phase
Angle
Peak i RMS
CF
(Crest
Factor)
0.4 1.11 92
40.1 26.79 1.50
40.0 11.94 3.35
39.9 30.93 1.29
160%
3.8. Inferences:
1. Phase imbalances are quite high. These have serious implications on the cable
properties and the motor wiring.
2. The PF is low causing problems in the drive through the pump in response to the
intelligent responses of the software to the pump flow characteristics.
3. The tanis implying that the impedance factors have set in causing a redundant
electromagnetic field; in effect, this reduces the flux strength considerably and is serious
deterrent for the energy conservation measures in the drives for the processing
industry.
3.9 Thermostat regulated drive quality
PHASE
Thermostat regulated AC drive for the dye pump -
fundamental energy data
AMPERES VOLTAGE THD% KW KVAR KVA
R 19.43 416 16.47%
3.68 2.42 11.64Y 13.67 417.1 14.90%
B 14.76 417 24.52%
PHASE
IMBALANCES
42% 0% 43%
3.10. Inferences:
1. The phase imbalances are significant implying issues for the dye pump.
2. The THD% or the total harmonic distortion percentage is quite high and hence
implies high thermal stresses and fundamental increase in the energy quantum.
3. The low kW load is indicating the pump characteristics are weak and would require
changes in the head configuration for improved performances.
Thermostat regulated AC drive for the dye pump - Power
Quality Data
PF tan 
Phase
Angle
Peak i RMS
CF
(Crest
Factor)
0.32 0.65 66
28.0 19.43 1.44
27.9 13.67 2.04
27.9 14.76 1.89
42%
3.11. Inferences:
1. High CF or crest factor implies huge thermal stresses in the line causing elevated
ambient heat and low dissipation.
2. The power factor is low causing issues in the pump flow characteristics for the dye.
3.12. Energy audit findings:
Major findings of the energy audit carried out as part of the research project:
1. The energy density in terms of both the cost per unit as well as the fabric processed
in meters per m3 of water consumed is extremely inefficient.
2. The conservation of thermal and electrical energies as envisaged in the detailed
energy logger studies clarify the extent of improvements that can be brought about by
the rigors of implementation.
0.00
0.20
0.40
0.60
0.80
1.00
1.20
JAN
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
DEC
JAN
FEB
MAR
APR
MAY
JUNE
JULY
US$/UNIT consumed
US$/UNIT
y = 0.000x4 - 0.023x3 + 0.129x2 + 1.902x + 1.194
R² = 0.257
0.000
5.000
10.000
15.000
20.000
25.000
30.000
35.000
JAN
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
DEC
JAN
FEB
MAR
APR
MAY
JUNE
JULYWater density in meters / m3
Water density in meters /
m3
Poly. (Water density in
meters / m3)
3. The harmonic distortion in the odd harmonics; especially the 1st
, 3rd
and 5th
harmonics constitute the bulk of the negative vector characteristics and hence influence
the cable and wiring characteristics significantly.
3.20. Recommendations for solutions in the electrical energy containment in the wet
processing industry
PROCESS HOUSE ENERGY SAVINGS RECOMMENDATIONS
OBSERVA
TIONS
ROOT
CAUS
E
ANAL
YSIS
RECOMMEN
DATIONS
ESTIMA
TED
INVEST
MENT
K
W
H
US
$
PAYB
ACK
PERI
OD IN
MONT
HS
ANN
UAL
ROI
IMPLEMEN
TATION
PLANS
THE
PROCESS
HOUSE
NEEDS TO
RE-WIRE
COMPLET
ELY
The
phase
angles
are
high
and PF
is low
indicati
ng wear
of the
wires
Usage of
85mm2 for both
input and output
is recommended
for the electrical
safety
55000
720
00
129
60
51 24%
December,
2016
PF
CAPACITO
R BANK
AND NEW
BUS BAR
COMPATI
BLE WITH
300 KVAR
The
new
capacit
or bank
shall
make
the
system
energy
efficien
t
PFC capacitor
banks ( Class
5860)
REFERENCE :
PAGE 5 OF
THE
SCHNEIDER
BROCHURE
ENCLOSED
HEREIN
250,000
720
00
129
60
231 5%
December,
2016
3.21. The major implications of the recommendations:
a) Cables and wires for the induction motors in the process lines need to be oversized
fundamentally to the tune of 35-50% to accommodate for non-linear load applications in
the form of intelligent drive systems that run on process-specific software.
b) The abrupt changes in the peak current profile in non-linear load profile is typical of
AC drives and hence need corrections at the Power factor bank level through an
extensive use of rectifiers that compensate for the high harmonic distortion percentage
and save on the cables to contain the high crest factor – the multiplier for the peak and
baseline currents.
c) The copper purity gets dented at high thermal stresses owing to local heat and lead
to micro-rupture along the wiring that eventually leads to high leakage of current.
The company – Blackstone Synergy Consulting Limited intends to reach out to a high
cross-section of wet processing units and is willing to tie-up with the OEMS for
processing lines to compensate for the inherent anomalies and potential energy
guzzling points and improve on the quality of wet processing significantly.
The dye affinity for the fabrics and the overall energy profile can improve by a
conservative estimate of 45-55% in terms of the energy density as explained in the
article with facts and figures.
Source for all the trials mentioned in the paper are three different mills wherein the trials
were conducted; two in India and one in Indonesia.

More Related Content

What's hot

Al gan gan field effect transistors with c-doped gan buffer layer as an elect...
Al gan gan field effect transistors with c-doped gan buffer layer as an elect...Al gan gan field effect transistors with c-doped gan buffer layer as an elect...
Al gan gan field effect transistors with c-doped gan buffer layer as an elect...Kal Tar
 
IRJET- CFD Analysis and Optimization of Heat Transfer Basket Element Profiles...
IRJET- CFD Analysis and Optimization of Heat Transfer Basket Element Profiles...IRJET- CFD Analysis and Optimization of Heat Transfer Basket Element Profiles...
IRJET- CFD Analysis and Optimization of Heat Transfer Basket Element Profiles...IRJET Journal
 
Performance of the Boiler and To Improving the Boiler Efficiency Using Cfd Mo...
Performance of the Boiler and To Improving the Boiler Efficiency Using Cfd Mo...Performance of the Boiler and To Improving the Boiler Efficiency Using Cfd Mo...
Performance of the Boiler and To Improving the Boiler Efficiency Using Cfd Mo...IOSR Journals
 
Darkawi_et_al_CEIDP_2012_VF_IEEE
Darkawi_et_al_CEIDP_2012_VF_IEEEDarkawi_et_al_CEIDP_2012_VF_IEEE
Darkawi_et_al_CEIDP_2012_VF_IEEEAbdallah Darkawi
 
Influence of Operating Variables on Functional Parameters of Ammonia Synthesi...
Influence of Operating Variables on Functional Parameters of Ammonia Synthesi...Influence of Operating Variables on Functional Parameters of Ammonia Synthesi...
Influence of Operating Variables on Functional Parameters of Ammonia Synthesi...Premier Publishers
 
EXPERIMENTAL INVESTIGATION ON THERMAL PERFORMANCE OF POROUS RADIANT BURNER AN...
EXPERIMENTAL INVESTIGATION ON THERMAL PERFORMANCE OF POROUS RADIANT BURNER AN...EXPERIMENTAL INVESTIGATION ON THERMAL PERFORMANCE OF POROUS RADIANT BURNER AN...
EXPERIMENTAL INVESTIGATION ON THERMAL PERFORMANCE OF POROUS RADIANT BURNER AN...BIBHUTI BHUSAN SAMANTARAY
 
Improved Swing-Cut Modeling for Planning and Scheduling of Oil-Refinery Disti...
Improved Swing-Cut Modeling for Planning and Scheduling of Oil-Refinery Disti...Improved Swing-Cut Modeling for Planning and Scheduling of Oil-Refinery Disti...
Improved Swing-Cut Modeling for Planning and Scheduling of Oil-Refinery Disti...Alkis Vazacopoulos
 
MULTIPLE LINEAR REGRESSION ANALYSIS FOR PREDICTION OF BOILER LOSSES AND BOILE...
MULTIPLE LINEAR REGRESSION ANALYSIS FOR PREDICTION OF BOILER LOSSES AND BOILE...MULTIPLE LINEAR REGRESSION ANALYSIS FOR PREDICTION OF BOILER LOSSES AND BOILE...
MULTIPLE LINEAR REGRESSION ANALYSIS FOR PREDICTION OF BOILER LOSSES AND BOILE...ijics
 

What's hot (9)

Al gan gan field effect transistors with c-doped gan buffer layer as an elect...
Al gan gan field effect transistors with c-doped gan buffer layer as an elect...Al gan gan field effect transistors with c-doped gan buffer layer as an elect...
Al gan gan field effect transistors with c-doped gan buffer layer as an elect...
 
IRJET- CFD Analysis and Optimization of Heat Transfer Basket Element Profiles...
IRJET- CFD Analysis and Optimization of Heat Transfer Basket Element Profiles...IRJET- CFD Analysis and Optimization of Heat Transfer Basket Element Profiles...
IRJET- CFD Analysis and Optimization of Heat Transfer Basket Element Profiles...
 
Performance of the Boiler and To Improving the Boiler Efficiency Using Cfd Mo...
Performance of the Boiler and To Improving the Boiler Efficiency Using Cfd Mo...Performance of the Boiler and To Improving the Boiler Efficiency Using Cfd Mo...
Performance of the Boiler and To Improving the Boiler Efficiency Using Cfd Mo...
 
Darkawi_et_al_CEIDP_2012_VF_IEEE
Darkawi_et_al_CEIDP_2012_VF_IEEEDarkawi_et_al_CEIDP_2012_VF_IEEE
Darkawi_et_al_CEIDP_2012_VF_IEEE
 
Influence of Operating Variables on Functional Parameters of Ammonia Synthesi...
Influence of Operating Variables on Functional Parameters of Ammonia Synthesi...Influence of Operating Variables on Functional Parameters of Ammonia Synthesi...
Influence of Operating Variables on Functional Parameters of Ammonia Synthesi...
 
EXPERIMENTAL INVESTIGATION ON THERMAL PERFORMANCE OF POROUS RADIANT BURNER AN...
EXPERIMENTAL INVESTIGATION ON THERMAL PERFORMANCE OF POROUS RADIANT BURNER AN...EXPERIMENTAL INVESTIGATION ON THERMAL PERFORMANCE OF POROUS RADIANT BURNER AN...
EXPERIMENTAL INVESTIGATION ON THERMAL PERFORMANCE OF POROUS RADIANT BURNER AN...
 
Improved Swing-Cut Modeling for Planning and Scheduling of Oil-Refinery Disti...
Improved Swing-Cut Modeling for Planning and Scheduling of Oil-Refinery Disti...Improved Swing-Cut Modeling for Planning and Scheduling of Oil-Refinery Disti...
Improved Swing-Cut Modeling for Planning and Scheduling of Oil-Refinery Disti...
 
4 ch1
4 ch14 ch1
4 ch1
 
MULTIPLE LINEAR REGRESSION ANALYSIS FOR PREDICTION OF BOILER LOSSES AND BOILE...
MULTIPLE LINEAR REGRESSION ANALYSIS FOR PREDICTION OF BOILER LOSSES AND BOILE...MULTIPLE LINEAR REGRESSION ANALYSIS FOR PREDICTION OF BOILER LOSSES AND BOILE...
MULTIPLE LINEAR REGRESSION ANALYSIS FOR PREDICTION OF BOILER LOSSES AND BOILE...
 

Similar to Energy Management in wet processing of greige fabrics

Energy Auditing of Thermal Power plant
Energy Auditing of Thermal Power plantEnergy Auditing of Thermal Power plant
Energy Auditing of Thermal Power plantIRJET Journal
 
Iaetsd load frequency control for a distributed grid
Iaetsd load frequency control for a distributed gridIaetsd load frequency control for a distributed grid
Iaetsd load frequency control for a distributed gridIaetsd Iaetsd
 
IRJET - Interleaved High Step-Up DC-DC Converter using Renewable Energy ...
IRJET  -  	  Interleaved High Step-Up DC-DC Converter using Renewable Energy ...IRJET  -  	  Interleaved High Step-Up DC-DC Converter using Renewable Energy ...
IRJET - Interleaved High Step-Up DC-DC Converter using Renewable Energy ...IRJET Journal
 
Enhanced Multi – Agent Based Industrial Process Automation
Enhanced Multi – Agent Based Industrial Process AutomationEnhanced Multi – Agent Based Industrial Process Automation
Enhanced Multi – Agent Based Industrial Process AutomationIRJET Journal
 
Optimizing the Steam Generation Cycle and Condensate Recovery Process
Optimizing the Steam Generation Cycle and Condensate Recovery ProcessOptimizing the Steam Generation Cycle and Condensate Recovery Process
Optimizing the Steam Generation Cycle and Condensate Recovery ProcessM.S. Jacobs & Associates
 
Optimizing the Steam Generation Cycle and Condensate Recovery Process
Optimizing the Steam Generation Cycle and Condensate Recovery ProcessOptimizing the Steam Generation Cycle and Condensate Recovery Process
Optimizing the Steam Generation Cycle and Condensate Recovery ProcessBelilove Company-Engineers
 
IRJET- Power Management System for Electric Vehicle Charging Stations using F...
IRJET- Power Management System for Electric Vehicle Charging Stations using F...IRJET- Power Management System for Electric Vehicle Charging Stations using F...
IRJET- Power Management System for Electric Vehicle Charging Stations using F...IRJET Journal
 
White Paper - Paint manufacturing process
White Paper - Paint  manufacturing processWhite Paper - Paint  manufacturing process
White Paper - Paint manufacturing processDebashish Banerjee
 
Power_Electronics_in_Renewable_Energy_Systems.pdf
Power_Electronics_in_Renewable_Energy_Systems.pdfPower_Electronics_in_Renewable_Energy_Systems.pdf
Power_Electronics_in_Renewable_Energy_Systems.pdfMuammerAlakary
 
EFEU / FLEXe Nurmoranta Maria advanced control as a key to flexibility capab...
EFEU / FLEXe Nurmoranta  Maria advanced control as a key to flexibility capab...EFEU / FLEXe Nurmoranta  Maria advanced control as a key to flexibility capab...
EFEU / FLEXe Nurmoranta Maria advanced control as a key to flexibility capab...CLIC Innovation Ltd
 
EFFECT OF DIMPLES ON FLOW PERFORMANCE OF ENHANCED SURFACE TUBES
EFFECT OF DIMPLES ON FLOW PERFORMANCE OF ENHANCED SURFACE TUBESEFFECT OF DIMPLES ON FLOW PERFORMANCE OF ENHANCED SURFACE TUBES
EFFECT OF DIMPLES ON FLOW PERFORMANCE OF ENHANCED SURFACE TUBESIRJET Journal
 
Piezoelectric Thermo-Acoustic Refrigeration System with Peltier Module Energy...
Piezoelectric Thermo-Acoustic Refrigeration System with Peltier Module Energy...Piezoelectric Thermo-Acoustic Refrigeration System with Peltier Module Energy...
Piezoelectric Thermo-Acoustic Refrigeration System with Peltier Module Energy...IRJET Journal
 
Analysis of Fuel Cell Based Multilevel DC-DC Boost Converter for Induction Motor
Analysis of Fuel Cell Based Multilevel DC-DC Boost Converter for Induction MotorAnalysis of Fuel Cell Based Multilevel DC-DC Boost Converter for Induction Motor
Analysis of Fuel Cell Based Multilevel DC-DC Boost Converter for Induction MotorIJMTST Journal
 
Analysis of Process Parameters to Improve Power Plant Efficiency
Analysis of Process Parameters to Improve Power Plant EfficiencyAnalysis of Process Parameters to Improve Power Plant Efficiency
Analysis of Process Parameters to Improve Power Plant EfficiencyIOSRJMCE
 
IRJET- Numerical Investigation of Heat Transfer Enhancement in Circular Pipe ...
IRJET- Numerical Investigation of Heat Transfer Enhancement in Circular Pipe ...IRJET- Numerical Investigation of Heat Transfer Enhancement in Circular Pipe ...
IRJET- Numerical Investigation of Heat Transfer Enhancement in Circular Pipe ...IRJET Journal
 
billings1979.pdffdgjgfjnzdgnzdAEGADSGSDGSDGSDGhSFHfsdfdh
billings1979.pdffdgjgfjnzdgnzdAEGADSGSDGSDGSDGhSFHfsdfdhbillings1979.pdffdgjgfjnzdgnzdAEGADSGSDGSDGSDGhSFHfsdfdh
billings1979.pdffdgjgfjnzdgnzdAEGADSGSDGSDGSDGhSFHfsdfdhAbdooSalem
 
Power System Operational Challenges from the Energy Transition
Power System Operational Challenges from the Energy TransitionPower System Operational Challenges from the Energy Transition
Power System Operational Challenges from the Energy TransitionPower System Operation
 
EE456_NWPUD Transmission Reinforcement Planning
EE456_NWPUD Transmission Reinforcement PlanningEE456_NWPUD Transmission Reinforcement Planning
EE456_NWPUD Transmission Reinforcement Planningki hei chan
 

Similar to Energy Management in wet processing of greige fabrics (20)

Energy Auditing of Thermal Power plant
Energy Auditing of Thermal Power plantEnergy Auditing of Thermal Power plant
Energy Auditing of Thermal Power plant
 
Iaetsd load frequency control for a distributed grid
Iaetsd load frequency control for a distributed gridIaetsd load frequency control for a distributed grid
Iaetsd load frequency control for a distributed grid
 
IRJET - Interleaved High Step-Up DC-DC Converter using Renewable Energy ...
IRJET  -  	  Interleaved High Step-Up DC-DC Converter using Renewable Energy ...IRJET  -  	  Interleaved High Step-Up DC-DC Converter using Renewable Energy ...
IRJET - Interleaved High Step-Up DC-DC Converter using Renewable Energy ...
 
Enhanced Multi – Agent Based Industrial Process Automation
Enhanced Multi – Agent Based Industrial Process AutomationEnhanced Multi – Agent Based Industrial Process Automation
Enhanced Multi – Agent Based Industrial Process Automation
 
Optimizing the Steam Generation Cycle and Condensate Recovery Process
Optimizing the Steam Generation Cycle and Condensate Recovery ProcessOptimizing the Steam Generation Cycle and Condensate Recovery Process
Optimizing the Steam Generation Cycle and Condensate Recovery Process
 
Optimizing the Steam Generation Cycle and Condensate Recovery Process
Optimizing the Steam Generation Cycle and Condensate Recovery ProcessOptimizing the Steam Generation Cycle and Condensate Recovery Process
Optimizing the Steam Generation Cycle and Condensate Recovery Process
 
IRJET- Power Management System for Electric Vehicle Charging Stations using F...
IRJET- Power Management System for Electric Vehicle Charging Stations using F...IRJET- Power Management System for Electric Vehicle Charging Stations using F...
IRJET- Power Management System for Electric Vehicle Charging Stations using F...
 
White Paper - Paint manufacturing process
White Paper - Paint  manufacturing processWhite Paper - Paint  manufacturing process
White Paper - Paint manufacturing process
 
Power_Electronics_in_Renewable_Energy_Systems.pdf
Power_Electronics_in_Renewable_Energy_Systems.pdfPower_Electronics_in_Renewable_Energy_Systems.pdf
Power_Electronics_in_Renewable_Energy_Systems.pdf
 
Murali base
Murali baseMurali base
Murali base
 
Murali base
Murali baseMurali base
Murali base
 
EFEU / FLEXe Nurmoranta Maria advanced control as a key to flexibility capab...
EFEU / FLEXe Nurmoranta  Maria advanced control as a key to flexibility capab...EFEU / FLEXe Nurmoranta  Maria advanced control as a key to flexibility capab...
EFEU / FLEXe Nurmoranta Maria advanced control as a key to flexibility capab...
 
EFFECT OF DIMPLES ON FLOW PERFORMANCE OF ENHANCED SURFACE TUBES
EFFECT OF DIMPLES ON FLOW PERFORMANCE OF ENHANCED SURFACE TUBESEFFECT OF DIMPLES ON FLOW PERFORMANCE OF ENHANCED SURFACE TUBES
EFFECT OF DIMPLES ON FLOW PERFORMANCE OF ENHANCED SURFACE TUBES
 
Piezoelectric Thermo-Acoustic Refrigeration System with Peltier Module Energy...
Piezoelectric Thermo-Acoustic Refrigeration System with Peltier Module Energy...Piezoelectric Thermo-Acoustic Refrigeration System with Peltier Module Energy...
Piezoelectric Thermo-Acoustic Refrigeration System with Peltier Module Energy...
 
Analysis of Fuel Cell Based Multilevel DC-DC Boost Converter for Induction Motor
Analysis of Fuel Cell Based Multilevel DC-DC Boost Converter for Induction MotorAnalysis of Fuel Cell Based Multilevel DC-DC Boost Converter for Induction Motor
Analysis of Fuel Cell Based Multilevel DC-DC Boost Converter for Induction Motor
 
Analysis of Process Parameters to Improve Power Plant Efficiency
Analysis of Process Parameters to Improve Power Plant EfficiencyAnalysis of Process Parameters to Improve Power Plant Efficiency
Analysis of Process Parameters to Improve Power Plant Efficiency
 
IRJET- Numerical Investigation of Heat Transfer Enhancement in Circular Pipe ...
IRJET- Numerical Investigation of Heat Transfer Enhancement in Circular Pipe ...IRJET- Numerical Investigation of Heat Transfer Enhancement in Circular Pipe ...
IRJET- Numerical Investigation of Heat Transfer Enhancement in Circular Pipe ...
 
billings1979.pdffdgjgfjnzdgnzdAEGADSGSDGSDGSDGhSFHfsdfdh
billings1979.pdffdgjgfjnzdgnzdAEGADSGSDGSDGSDGhSFHfsdfdhbillings1979.pdffdgjgfjnzdgnzdAEGADSGSDGSDGSDGhSFHfsdfdh
billings1979.pdffdgjgfjnzdgnzdAEGADSGSDGSDGSDGhSFHfsdfdh
 
Power System Operational Challenges from the Energy Transition
Power System Operational Challenges from the Energy TransitionPower System Operational Challenges from the Energy Transition
Power System Operational Challenges from the Energy Transition
 
EE456_NWPUD Transmission Reinforcement Planning
EE456_NWPUD Transmission Reinforcement PlanningEE456_NWPUD Transmission Reinforcement Planning
EE456_NWPUD Transmission Reinforcement Planning
 

More from Debashish Banerjee

WHITE PAPER -Corrugation & board printing improvement plans
WHITE PAPER -Corrugation & board printing improvement plansWHITE PAPER -Corrugation & board printing improvement plans
WHITE PAPER -Corrugation & board printing improvement plansDebashish Banerjee
 
Yarn intelliegnce - decision making in yarn manufacturing on AI platform
Yarn intelliegnce - decision making in yarn manufacturing on AI platformYarn intelliegnce - decision making in yarn manufacturing on AI platform
Yarn intelliegnce - decision making in yarn manufacturing on AI platformDebashish Banerjee
 
Ring Spinning - flexible shaft couplings for energy management - POLAND 2016
Ring Spinning - flexible shaft couplings for energy management - POLAND 2016Ring Spinning - flexible shaft couplings for energy management - POLAND 2016
Ring Spinning - flexible shaft couplings for energy management - POLAND 2016Debashish Banerjee
 
Cotton Grading - approaches for the textile value chain - POLAND 2016
Cotton Grading - approaches for the textile value chain - POLAND 2016Cotton Grading - approaches for the textile value chain - POLAND 2016
Cotton Grading - approaches for the textile value chain - POLAND 2016Debashish Banerjee
 
Blackstone Synergy - Small Businesses concept note
Blackstone Synergy - Small Businesses concept noteBlackstone Synergy - Small Businesses concept note
Blackstone Synergy - Small Businesses concept noteDebashish Banerjee
 
Banker's note - Blackstone Synergy Pitch
Banker's note - Blackstone Synergy PitchBanker's note - Blackstone Synergy Pitch
Banker's note - Blackstone Synergy PitchDebashish Banerjee
 
Blackstone Synergy - Business Profile
Blackstone Synergy - Business ProfileBlackstone Synergy - Business Profile
Blackstone Synergy - Business ProfileDebashish Banerjee
 
Blackstone Synergy Consulting Group - MOA
Blackstone Synergy Consulting Group - MOABlackstone Synergy Consulting Group - MOA
Blackstone Synergy Consulting Group - MOADebashish Banerjee
 

More from Debashish Banerjee (9)

WHITE PAPER -Corrugation & board printing improvement plans
WHITE PAPER -Corrugation & board printing improvement plansWHITE PAPER -Corrugation & board printing improvement plans
WHITE PAPER -Corrugation & board printing improvement plans
 
Yarn intelliegnce - decision making in yarn manufacturing on AI platform
Yarn intelliegnce - decision making in yarn manufacturing on AI platformYarn intelliegnce - decision making in yarn manufacturing on AI platform
Yarn intelliegnce - decision making in yarn manufacturing on AI platform
 
Ring Spinning - flexible shaft couplings for energy management - POLAND 2016
Ring Spinning - flexible shaft couplings for energy management - POLAND 2016Ring Spinning - flexible shaft couplings for energy management - POLAND 2016
Ring Spinning - flexible shaft couplings for energy management - POLAND 2016
 
Cotton Grading - approaches for the textile value chain - POLAND 2016
Cotton Grading - approaches for the textile value chain - POLAND 2016Cotton Grading - approaches for the textile value chain - POLAND 2016
Cotton Grading - approaches for the textile value chain - POLAND 2016
 
Aerodynamic Card Design
Aerodynamic Card DesignAerodynamic Card Design
Aerodynamic Card Design
 
Blackstone Synergy - Small Businesses concept note
Blackstone Synergy - Small Businesses concept noteBlackstone Synergy - Small Businesses concept note
Blackstone Synergy - Small Businesses concept note
 
Banker's note - Blackstone Synergy Pitch
Banker's note - Blackstone Synergy PitchBanker's note - Blackstone Synergy Pitch
Banker's note - Blackstone Synergy Pitch
 
Blackstone Synergy - Business Profile
Blackstone Synergy - Business ProfileBlackstone Synergy - Business Profile
Blackstone Synergy - Business Profile
 
Blackstone Synergy Consulting Group - MOA
Blackstone Synergy Consulting Group - MOABlackstone Synergy Consulting Group - MOA
Blackstone Synergy Consulting Group - MOA
 

Energy Management in wet processing of greige fabrics

  • 1. ENERGY MANAGEMENT IN THE WET PROCESSING OF GREIGE FABRICS Presenting author: Debashish Banerjee CEO – Blackstone Synergy Consulting group Limited, P.O. Box – 23365, Nairobi -00604, Kenya db@blackstonesynergy.com 1. Introduction: The wet processing industry in the fabrics is a prominent user when it comes to guzzling energy especially as temperatures are required to be maintained apart from the generation of the fluid pressure to desired levels. The fabric serves as the substrate for the dye uptake and hence the movement configuration has a significant bearing on the dye affinity as also the structural orientation for facilitating the dye penetration. 2. Conceptual points: The non-linear load is often ignored but is the main source of the generation of the harmonic distortions in the fundamental sinusoidal AC current curve; the key components of the high energy consumption. The steam quality is determined by the consistency of the ignition point of the water that is brought to the level of state change and the enthalpy rate achieved in the transfer mechanism involved for the said state change. The detailed analysis of this mechanism has often been ignored in the processing industry albeit this is certainly the key in energy conservation measures. The electrolyte movement is another friction builder and is a potential energy guzzler in the dye transfer mechanism; hence this is an area and an intense subject for exploring improvements in the energy conservation process. 3. Research mechanism adopted: 3.1. The primary area of research was to correlate the dye strength within a batch with the varying changes in the steam pressure and the corresponding heat transferred into the system as measured by the temperature gauge. The boiler pressure was regulated at different levels to record the changes in the transferred temperatures to the beaker. 3.2. The dye strength was measured using the Kubenka-Munk equation K/S = (1- R2)/2R wherein R is the fractional reflectance and the K = coefficient of color absorption while S = coefficient of scattering of color. 3.3. Table 1: Comparative analysis of transferred heat V/S Dye strength
  • 2. Color strength comparative analysis on transferred heat Boiler pressure Transferred temperature as measured by the gauge Fabric run speed K/S (color strength measure) 12 188 75 7.7 12.5 192 77 8.1 11.8 183 83 7.6 12.7 192 82 8.3 13.3 195 79 8.8 12.9 191 76 8.2 11.5 182 75 7.2 10.9 177 77 6.8 10.7 176 79 6.7 11.1 181 75 6.9 3.4.Inferences: The relationships between the boiler pressure and the color strength characteristics as determined by the X-rite color spectrophotometer were strong and hence merited investigation from both energy conservation principles and the dyeing characteristics as well. The furnace oil boiler used in this trial recorded significant variations in the consumption levels during the study period and the observed phenomenon had the following reasons: a) Fluid friction is known to increase with chemical degradation thereby raising the operating temperatures and hence need to be contained to prevent precipitation of the flash point lowering that might cause further irreversible damage to the properties of the oil. b) The variations in fluid friction cause drops in the steam pressure to be registered; something that has far reaching implications for the dyeing quality and productivity determined by the fabric run speed. 3.5. Solutions: a) Car engine oil raised to a temperature of 80 to 85 degrees Celsius was used to dose the furnace oil tank to the extent of 2% by volume and the experiment was repeated. Following is the extract of the results:
  • 3. Table 2: Solutions for the transferred heat V/S dye strength syndrome: INFUSION OF CAR ENGINE OIL @ 2% Color strength comparative analysis on transferred heat Boiler pressure Transferred temperature as measured by the gauge Fabric run speed K/S (color strength measure) 13.5 197 85 9.1 14 200 83 8.8 13.8 199 85 9.2 13.9 198 87 9.2 14.1 201 86 8.8 13.7 197 85 8.9 13.3 199 85 8.9 13.2 198 85 8.8 13.6 199 85 8.7 13.1 193 85 8.9 3.6.Inferences: 1) Productivity increase is observed through enhanced line speeds. 2.) The transferred heat is significantly higher 3) The important parameter of color strength is significantly improved. The fuel consumption registered a gain of 8.21% with higher pressure and better fluid friction dynamics owing to the flow properties of the oil. 3.7. Drive dynamics: Potential energy conservation measures: The next area of focus in our study on the energy management initiatives was in the area of drives. We registered the following readings:
  • 4. PHASE Water pump Intelli-drive - fundamental energy data AMPERES VOLTAGE THD% KW KVAR KVA R 26.79 425.2 2.18% 6.89 7.79 17.06Y 11.94 426.2 12.21% B 30.93 427.8 8.91% PHASE IMBALANCES 159% 1% 460% Water pump - Intelli-drive - Power Quality Data PF tan  Phase Angle Peak i RMS CF (Crest Factor) 0.4 1.11 92 40.1 26.79 1.50 40.0 11.94 3.35 39.9 30.93 1.29 160% 3.8. Inferences: 1. Phase imbalances are quite high. These have serious implications on the cable properties and the motor wiring. 2. The PF is low causing problems in the drive through the pump in response to the intelligent responses of the software to the pump flow characteristics. 3. The tanis implying that the impedance factors have set in causing a redundant electromagnetic field; in effect, this reduces the flux strength considerably and is serious deterrent for the energy conservation measures in the drives for the processing industry. 3.9 Thermostat regulated drive quality
  • 5. PHASE Thermostat regulated AC drive for the dye pump - fundamental energy data AMPERES VOLTAGE THD% KW KVAR KVA R 19.43 416 16.47% 3.68 2.42 11.64Y 13.67 417.1 14.90% B 14.76 417 24.52% PHASE IMBALANCES 42% 0% 43% 3.10. Inferences: 1. The phase imbalances are significant implying issues for the dye pump. 2. The THD% or the total harmonic distortion percentage is quite high and hence implies high thermal stresses and fundamental increase in the energy quantum. 3. The low kW load is indicating the pump characteristics are weak and would require changes in the head configuration for improved performances. Thermostat regulated AC drive for the dye pump - Power Quality Data PF tan  Phase Angle Peak i RMS CF (Crest Factor) 0.32 0.65 66 28.0 19.43 1.44 27.9 13.67 2.04 27.9 14.76 1.89 42% 3.11. Inferences: 1. High CF or crest factor implies huge thermal stresses in the line causing elevated ambient heat and low dissipation. 2. The power factor is low causing issues in the pump flow characteristics for the dye.
  • 6. 3.12. Energy audit findings: Major findings of the energy audit carried out as part of the research project: 1. The energy density in terms of both the cost per unit as well as the fabric processed in meters per m3 of water consumed is extremely inefficient. 2. The conservation of thermal and electrical energies as envisaged in the detailed energy logger studies clarify the extent of improvements that can be brought about by the rigors of implementation. 0.00 0.20 0.40 0.60 0.80 1.00 1.20 JAN MAR APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY JUNE JULY US$/UNIT consumed US$/UNIT y = 0.000x4 - 0.023x3 + 0.129x2 + 1.902x + 1.194 R² = 0.257 0.000 5.000 10.000 15.000 20.000 25.000 30.000 35.000 JAN MAR APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY JUNE JULYWater density in meters / m3 Water density in meters / m3 Poly. (Water density in meters / m3)
  • 7. 3. The harmonic distortion in the odd harmonics; especially the 1st , 3rd and 5th harmonics constitute the bulk of the negative vector characteristics and hence influence the cable and wiring characteristics significantly. 3.20. Recommendations for solutions in the electrical energy containment in the wet processing industry PROCESS HOUSE ENERGY SAVINGS RECOMMENDATIONS OBSERVA TIONS ROOT CAUS E ANAL YSIS RECOMMEN DATIONS ESTIMA TED INVEST MENT K W H US $ PAYB ACK PERI OD IN MONT HS ANN UAL ROI IMPLEMEN TATION PLANS THE PROCESS HOUSE NEEDS TO RE-WIRE COMPLET ELY The phase angles are high and PF is low indicati ng wear of the wires Usage of 85mm2 for both input and output is recommended for the electrical safety 55000 720 00 129 60 51 24% December, 2016 PF CAPACITO R BANK AND NEW BUS BAR COMPATI BLE WITH 300 KVAR The new capacit or bank shall make the system energy efficien t PFC capacitor banks ( Class 5860) REFERENCE : PAGE 5 OF THE SCHNEIDER BROCHURE ENCLOSED HEREIN 250,000 720 00 129 60 231 5% December, 2016 3.21. The major implications of the recommendations: a) Cables and wires for the induction motors in the process lines need to be oversized fundamentally to the tune of 35-50% to accommodate for non-linear load applications in the form of intelligent drive systems that run on process-specific software.
  • 8. b) The abrupt changes in the peak current profile in non-linear load profile is typical of AC drives and hence need corrections at the Power factor bank level through an extensive use of rectifiers that compensate for the high harmonic distortion percentage and save on the cables to contain the high crest factor – the multiplier for the peak and baseline currents. c) The copper purity gets dented at high thermal stresses owing to local heat and lead to micro-rupture along the wiring that eventually leads to high leakage of current. The company – Blackstone Synergy Consulting Limited intends to reach out to a high cross-section of wet processing units and is willing to tie-up with the OEMS for processing lines to compensate for the inherent anomalies and potential energy guzzling points and improve on the quality of wet processing significantly. The dye affinity for the fabrics and the overall energy profile can improve by a conservative estimate of 45-55% in terms of the energy density as explained in the article with facts and figures. Source for all the trials mentioned in the paper are three different mills wherein the trials were conducted; two in India and one in Indonesia.