Energy Saving System in Industry
Jun 2016
Shigeru Sakashita
Ai-Ai Energy Associates Co., Ltd.
Ai-Ai Energy Associates
Energy Saving System in Industry
Economical need of Energy Saving
Concept of Cleaner Production
Energy Saving Technology
Heat pump as the Energy Saving Technology
History of Heat Pump in Brewery
Virtual Factory as the Energy Saving Tool
Sample of Virtual Factory
Reference of Energy Audit with Virtual Factory
Reference of Energy Saving CDM
Ai-Ai Energy Associates
Factory Management/ Break Even Point Analysis
World wide increase of the Energy Cost Push up the Break Even Point.
Back ground
>industrialization,
>exhaustion of resources
>population increase,
Fixed costsSales
$
Break-even point
Worldwide Increase of raw
material &
Energy cost Break-even point
shifts to higher sales amount and less profit
1.Economical need of Energy Saving
Ai-Ai Energy AssociatesGlobal warming Effect as External Diseconomy
Global Warming Effect is one of the huge
External Diseconomy.
The effect of Climate Change may be
physical, ecological, social or economic.
External Diseconomy should be change into Internal Diseconomy
waste
waste Residence
effluent effluent exhaust
gas & CO2
river pollution
public pollution
cost
Outside Diseconomy medical cost
waste treatment cost etc.
sea pollution
1.Social need of Energy Saving
Ai-Ai Energy AssociatesDefinition of Cleaner Production (CP)
Cleaner production is a preventive, company-specific environmental protection initiative. It is intended to minimize waste and emissions and maximize product output. By analyzing the flow of materials and energy in a company, one tries to identify options to minimize
waste and emissions out of industrial processes through source reduction strategies. Improvements of
organization and technology help to reduce or suggest better choices in use of materials and energy, and to avoid waste, waste water generation, and gaseous emissions, and also waste heat and noise.
Concept of Cleaner Production
Ai-Ai Energy AssociatesTerms Related to Cleaner Production
Waste minimization
Pollution prevention
Eco-profitability
Low/non-waste technologies
Zero waste emission
Green productivity
Lean manufacturing
Concept of Cleaner Production
Ai-Ai Energy Associates80 90 100
20
Material Balance Model
Raw
materials Finished
products
Waste (material, water) 10
80 90
Product waste/ negative economic value
Concept of Cleaner Production
Ai-Ai Energy Associates80 90 100
20
Improved Specific Energy Consumption
Raw
materials Finished
products
Waste (material, water) 10
90 100
Product waste/ negative economic value
80
Specific Energy input
100/90
Specific Energy output
100/90 >>
Energy saving Waste heat Reduction
Concept of Cleaner Production
Ai-Ai Energy AssociatesEfficiency
Material & Energy Stream of Factory
Factory
Process 1 Process 2 Process 3
Raw material Product
Energy, Utility
Waste heat
Waste water, Waste
Production efficiency (yield)=
Product
Raw material
Specific energy (utility) consumption=
Energy, Utility
Product
Ai-Ai Energy Associates
The Natural relationship in CP
Increase in yield
Increase in profit
Decrease in waste
Environ ment- friendly Decrease
in waste treatment
cost
Increase in energy efficiency /productio
n
CO2 emission reduction Energy
efficiency improvem
ent Production efficiency
improvement and Energy efficiency improvement will contribute to factory
management and environment conservation.
Concept of Cleaner Production
Ai-Ai Energy AssociatesBenefits of Cleaner Production
Increased productivity
Reduced operating costs
Public health and environmental benefits
Improved worker health and safety
Reduced risk of liability
Improved corporate image
Improved global competitiveness
Concept of Cleaner Production
Ai-Ai Energy Associates
Before CP: unorganized workflow and production area
After CP: layout modification
Benefits:
Organized workflow
Reduced water spillages
Increased productivity
Fresh Catch International Company
CP Activity in Philippines for reference under ICETT in Philippine
Ai-Ai Energy Associates
Uses continuous flow of water Water overflows from the tub
Uses cooling tower that recycles water for the cooling tank
After CP
Benefits:
•Reduced water consumption and wastewater
generation by about 160
m
3/month (75%
reduction)
• Dry area
• Reduces workers’ risk
Savings: 1,920 m
3water/ year
M.M. Guanzon Inc.
CP Activity in Philippines for reference under ICETT in Philippine
3 Approaches which contributes to Energy Saving in Factory
Production Technology > Process Engineering
Manufacturing Technique > Manufacturing Engineering
Energy Saving Technology > Thermodynamic Engineering
Cooperation of these 3 kind of Engineer should realize a effective Energy Saving System.
Energy Saving Technology
Ai-Ai Energy Associates
Production Technology
Production Technology can save the Energy by….
a. Modification of production process.
b. Developing new process.
c. Developing new method.
Energy Saving Technology
Ai-Ai Energy Associates
Manufacturing Technique
Manufacturing Technique can save the Energy by….
a. Increasing productivity b. Modification of Layout
c. Better operation Technique
Energy Saving Technology
Ai-Ai Energy Associates
Thermodynamic Technology
Thermodynamic Technology can save the Energy by….
a. Efficient Use of Energy; Cascade use of Heat b. Heat recovery and Recycle; Heat Pump
c. New Energy generation from Waste; Biogas utilization Technology from Waste water & Biomass Energy
generation from Waste.
d. Energy Efficient improvement of Equipment
Energy Saving Technology
Ai-Ai Energy Associates
Improvement of Thermal efficiency of Cooking Sweat Bun (for understanding )
Microwave oven
faster
reduce heating period
more 3 stage
low cost
effective utilization Gelatinization of starch
soft, sweet & delicious steam 100%
d
fuel
G
fuel
Simple Steamer Effective Use of Steam
1STstep Efficiency Improve
with Boiler Steam Microwave Oven
1stStep 2ndStep 3rdStep
Production
Technology Making Recipe.
Cooking with high density steam to avoid dryness.
Analyze the gelatinization
Manufacturi ng
Technique
Supply much steam to keep steam density.
Multi use of steam and productivity increase with multi steam box
Use of boiler or Microwave oven to reduce running cost
Thermo
Dynamics Observation of
Steam behavior Analysis of Heat
demand Improve Thermal
efficiency with Boiler steam or Microwave 50% steam is
exhausted from top
Thermal efficiency should be 35%
with gas burner
Only 5% steam is exhausted
Thermal eff. of Heat Energy
100%
Energy 52%
Energy 24%
Energy 54%
Thermal efficiency should be 35%
with gas burner Thermal efficiency should be 97%
with steam Thermal efficiency should be 85%
with microwave
Boiler Efficiency
80% Power Generation Efficiency
40%
Ai-Ai Energy Associates
Thermal Efficiency according Heat Source of Cooking
「 火なしオーブン」 と「 火なしコンロ」
電子レンジは「 誘電加熱」 方式を、電磁調理器(IHヒーター)は「 誘導加熱」 方式を使っ て加熱します。正しくは電磁誘導加熱(lnduction Heating)'略してIHを説明しましょう。
特徴は外に火がなく、鍋自体が熱くなることです。「 熱」 という現金を渡すのではなく、為 替手形を鍋に渡して、鍋が現金化するのです。この為替が磁力線で、電磁調理器から磁力線を 受け取ると、鍋の金属内部に電流が流れ、電気抵抗により熱が発生する仕組み。
この原理を理解するには、電界(電気)ができると影のように磁界(磁気)ができる見えな い世界を想像する必要があります。電界がプラスとマイナスに激しく変化する高周波の電界を 使う点や、外部で発熱しない点で、電fレンジと似ている点も多いので、IHを「 火なしコン ロ」 、電子レンジを「 火なしオーブン」 と呼ぶのもひとつでしょう。
環境工 学研究所 ホームページ http://windofweef.web.fc2.com/index.html Microwave Oven
Thermal Efficiency 80~90%(35%)
Ai-Ai Energy Associates
Continuous Steamer
Continous Steamer Continous Steamer (Heat Recovery)
d d d d d d d d d d d d d d d
in
Vapor
d d d d d d d d d d d d d d d
Steam Steam
∂ ∂
Hot Water
in
Scrubber for Heat recovery
Heat Exchanger Blower
Blower
Air
Air Air Air
Key: Fill the equipment with high density steam To reduce the intrusion of air as much as possible.
Too much air increase drying. > quality problem
>Increase the heat requirement.
Blower control is very important.
It should be control to minimize the air leak from open space (inlet and outlet of product) and minimize the exhaust from blower.
Heat recovery from the exhaust vapor as hot water with water scrubber.
It is important to minimize the air intrusion to increase the temperature of recovered heat.
If we can realize the 0 intrusion of air, recovered hot water temperature will be 100℃.
Ai-Ai Energy Associates
Vapor recovery and recycle System
d d d d d d d d d d d d d d d
Steam
∂ ∂
in
Air Air
Boiler Steam Scrubber for
Heat recovery
Flash Tank
Steam Ejector
Heat Pump as the Energy Saving Technology Pump & Heat Pump
Pump Heat Pump
High temperatureTc
Low temperature Te
Power requirement Pr.=f(G, H)
Pr=0.163*G*H G; m3/min H; m
Power requirement Pr; f(Qh,dT)
Pr=Qh/COP
COP; Coefficient of Performance
COPc=(273.16+Tc)/(
Tc-Te)
Qh; kW/h
Qc; kW/h Heat Pump as the Energy Saving Technology
Ai-Ai Energy Associates
COP of Heat Pump
COP: Coefficient of Performance
COP=output energy / input energy
Theoretical COP: Carnot COP=(273.16+Tc)/(Tc-Te)
• Tc: Condensing Temperature Te: Evaporative temperature
COPec: Economical Marginal COP
• COPec: Electricity cost(yen/kWh)/Fuel Cost(yen/kWh)
COPem: Environmental Marginal COP
• environmental impact of electricityper kWh/ environmental impact of fuelper kWh
• Environmental impact: global warming, pollution, etc
Ai-Ai Energy Associates
Heat Pump for Air-conditioning
Room
Atmosphere
Room Atmosphere
Winter Summer
Heat Pump as the Energy Saving Technology
Ai-Ai Energy Associates
Heat Recovery by Heat Pump (Industrial Use)
Waste Heat
Usable Heat Heat Pump as the Energy Saving Technology
Ai-Ai Energy Associates
Carnot Cycle and Reverse Carnot cycle > current situation
Carnot Cycle : Turbine
Turbine efficiency has reached 55% of Carnot equitation.
Reverse Carnot Cycle* Heat Pump, Refrigeration
Current Heat Pump COP is only 20% of Carnot COP
Big Temperature difference of Condenser (Air cooled)
Big Temperature of Air Cooler
Improvement possibility
Water cool or Evaporative condenser can increase COP
Water scrubbing Cooler can increase COP
It is possible to reduce 3% of Total Energy Consumption of Japan.
Barrier
Hassle of handling of water
Big Inertia of current market Technology
800℃
72%
35~40%
30℃
15℃
19 5 Current COP
Theoretical Output=
Theoretical Output=
Current Out Put
Turbin e
HP ambient Temp :30℃
cooling Temp :15℃
Carnot Cycle
Reverse Carnot cycle Carnot Equata on
Output Work:(High Temp-Low Temp)/(273.16+High Temp.)
Carnot Equata on
COP:(273.16+High Temp.)/(High Temp-Low Temp)
Ai-Ai Energy Associates
VRC; Vapor Re-Compression System
>Primitive and Efficient Heat Pump
History of Heat Pump in Brewery
Ai-Ai Energy Associates
VRC; First implementation 1982
Barrier for implementation a. Can not change the
operation condition
b. Process Engineer afraid of Kettle crash
Performance a. COP; 7.3
Specification of VRC a. Recover Vapor; 10ton/h b. Motor 1000kW
History of Heat Pump in Brewery
1000kW (850kWh) 10ton Vapor 6267kWh
COP; 7.37 3bar 133 degree C
Ai-Ai Energy Associates
VRC; Following effort
Brewing Engineer
Analysis of Function and
Mechanism of Wort Boiling >
reduction of evaporation ratio 10% to 6.7%
Process Engineer
Increase Efficiency of Cocker (Heater) > Discharge pressure became lower; 3bar(133dC) to 1.5bar(113dC)
Heat Pump Engineer
More effective utilization of Energy
History of Heat Pump in Brewery
Numbers of Abstract/Session (given by NOC) - 4 -
10thIEA Heat Pump Conference 2011, 16 - 19 May 2011, Tokyo, Japan
Vast time and cost were spent for mutual understanding for the first project. But, it was absolutely necessary before implementing heat pump and helped greatly to accelerate implementation in the following steps later.
2.2 Following development in brewery plants
Brewery plant is known to be a consumer of massive energy in food and beverage industry.
In particular, brewing process (brewhouse) including boiling process consumes 40 to 50% of entire energy.
Brewery industries in Europe and Japan are energy conscious and have developed extensive energy conservation measures during the last 30 years. Especially, energy conservation and quality improvement have been progressed in parallel. Following is a simple explanation of improvements in wort kettles and boiling method during the last 30 years.
2.2.1 Efforts made in brewing technology
Functions and mechanism of boiling have been analyzed thoroughly. As I mentioned before, there are a lot of functions in boiling. Following mechanism and results were found after analyzing each individual function.
The most important element of boiling capacity is the number of turns going through boiling. However, certain shape of kettle creates dead space and wort can not pass through the cooker uniformly.
10 to 15% of vapour evaporation ratio (80 to 90 minutes) was standard for boiling capacity at the time of initial development. It is now 6.7% to 10% (60 to 80 minutes). It may be as small as 3% in the case of a special boiling method.
2.2.2Efforts made by process engineers
Process engineers tried to eliminate the dead space after seeing the results of brewing engineers. Following are major items
studied.
The shape of kettle eliminating dead spaces
To increase amount of wort spraying out from the cooker Uniform distribution of wort sprayed out from the cooker
The shape of the kettle has been changed to be deep and longer vertically.
Cooker is a thermo-siphon heat exchanger. Water evaporated in the cooker is sprayed out upwards together with wort. Wort sprayed out changes its direction by an upper distribution plate and distributed over
the surface of wort pool. Figure 2 Wort movement
Ai-Ai Energy Associates
VRC; Latest VRC System
History of Heat Pump in Brewery
Ai-Ai Energy Associates
VRC; Comparison Table, First vs Latest
First Latest Difference
Capacity of
Compressor 10t/h 4.7ton/h 5.3on/h
Tc 133 degree C 113 degree C 20 degree C
Motor 1000kW 200kW 800kW
COP 7.34 14.7 7.4
History of Heat Pump in Brewery
Ai-Ai Energy Associates
“Virtual Factory”
as the Energy Saving Tool by Process Analysis
Understanding the process in detail
Understanding the energy usage mechanism in the process.
Making the Virtual Factory in computer is very effective to understand the factory process mechanism.
Virtual Factory is the communication tool for 3 kind of Engineer;
Production, Manufacturing , Thermodynamic Engineer .
Virtual Factory verifies the theoretical energy consumption to compare with the actual data.
Virtual Factory accepts any changes easily and estimates the improved energy consumption accordingly.
Energy-saving equipment and system can be also designed and implemented in the Virtual Factory.
“Virtual Factory”
Ai-Ai Energy AssociatesEnergy consumption in process units
based on the Material & Energy balance analysis
“Example of Wort boiling in Brewery”
Material &
energy balance
Process description
Estimated energy consumption
“Virtual Factory”
Ai-Ai Energy AssociatesStructure of Virtual Brewery
“Virtual Factory”
Ai-Ai Energy AssociatesEnergy-saving analysis using Virtual Factory
Virtual Factory (existing)
Virtual Factory (Energy saving Plan)
Compare to Calculated result with actual data.
Investigate the reason of differences
material loss, heat loss?
mistake in program?
control system ? bad efficiency of equipment
Try to modify or adjust actual factory operation
Try energy-saving operation referring to Virtual Factory data
Design the energy saving System
Estimate energy saving amount
Feasibility study
location, available space budget estimation
estimation of CER: Carbon Emission Reduction
CDM Project or not
economical analysis: IRR, PBP
“Virtual Factory”
Ai-Ai Energy AssociatesEnergy-saving activity
Search the points of losses and repair or modify them.
Modify or adjust control system.
Clean or modify the heat exchanger.
Add more data in monitoring system.
Add more and appropriate buffers with control system in order to keep high-efficiency operation for the utility
equipment such as boilers and compressors.
Add heat recovery or biogas recovery system in order to reduce energy consumption.
Modify the production process itself.
“Virtual Factory”
Ai-Ai Energy Associates
Sample of Virtual Factory- Brewery Summary
Summary of Brewing Simulation ( Existing)
Brewing Conditions ( Ex) Process BH Uni T Filtr. BBT Pack others Total Specific surplus Specific "CO2 Consumption
Cold Wort 1, 000 HL Product 1366 HL Steam Consumption 8. 04t 0. 43 t 17. 49 t 5. 2 t 31. 14 t 22. 8kg/HL Package C. Fill 600 g/HL
Temp. 10℃ Raw W. Temp. 33℃ CO2 Consumption -‐‐‒5
9
81kg 442kg 428kg 574kg 433kg 1877kg1. 4kg/HL 4104kg3. 0kg/HL Package B. Fill 360 g/HL
First Plato 15. 0 kg/HL HW. Brew Temp 80℃ Air Consumption 0 0 0 Packaging Mix 420 g/HL
Final Platon 1. 8 Kg/HL HW. Id. T emp 80℃ Water Consumption 1304HL 393HL 1487HL 2865HL 6049HL 4. 4HL/HL CO2 Specific W. 1. 96 kg/m3
Original G 11 kg/HL Packaging Mix. Hot Water Consumption 866HL 866HL0. 6HL/HL Deaeration 700 g/Hl•DA
Brewing N 8 Bottle 75% Hot Water Generation 1133HL 1133HL 0. 8HL/HL 267HL 0.2HL/HL Press. Of BBT 0. 6 bar
Ice Water 4℃ Can 25% 100% 24% 76% CO2 content. 5. 1 g/L
25. 95 t 5981kg - 1444kg = 4537kg ※ pacaging mix
Bottle 50%
8. 04t 17. 49 t Can 50%
0 .6 1 t 1 .2 2 t 6 .2 0 t 0 .4 3 t 4 .4 3 t 1 3 .0 6 t
8. 86 t 4. 20 t Rice Malt
3. 4 t 10. 5 t
4. 9 t/b 5981kg Carbonat in 186kg 428kg 369kg 205kg
Deaerat ion 256kg
95. 0dC.d 10dC -‐‐‒15dC -‐‐‒1C 35dC
Push W. 1000HL 1000HL 1393HL 1366HL
61dC 51dC 78dC 80dC 105. 8 t 97. 4 t 139. 2 t 750. 0 t
106HL 213HL 731HL 18. 0HL 15. 0P° 1. 8P° 1. 3P° 1. 3P°
Alc 6. 80% w/ w Alc 4. 76% w/ w Alc 4. 76% w/ w
64HL 83HL 701HL
BH 4dC 4dC 33dC Cooling Load Mcal/B Mcal/h
33dC 1101HL 393HL 1487HL Ice W. for Wort Cooling 3193 1064
1304HL Ice Water for Blending 1562 521
42HL 131HL 30HL 80dC 80dC Unitank 4012 1337
866HL 1133HL Yeast 177. 4 59
Filtration 459 153
Total Others 940. 3 313
33dC 80dC Total 10343 3448
3184HL 267HL
RC MK PT WK WHP
BW BF BP
CF CP
STM CO2 AI R
STM STM
CO2
Raw W.
Surplus HW MF
Ai-Ai Energy Associates
Sample of Virtual Factory- Sugar Mill Summary
G
Cane Receiving Cane Milling
Juice Heating
Concentration
Crystallization Bagass Boiler
Steam Turbine
Molasses Tank
Ethanol production Sugar storage
Ai-Ai Energy Associates
Sample of Virtual Factory- Palm Oil Summary
Ai-Ai Energy Associates
Reference of Energy Saving Audit by Virtual Factory -1
Industry or Factory country year Estimated Energy
Saving support
Brewery Japan 2009 30% Commercial
Canning factory of Fruits Philippines 2009 35% ICETT, METI Asphalt production Philippines 2009 70% ICETT, METI Ham, Sausage, Bacon Philippines 2009 80% ICETT, METI
Jam, Past Philippines 2009 37% ICETT, METI
Slaughter An dressing of
chicken Philippines 2009 50% ICETT, METI
Shrimp processing and
Freezing Philippines 2009 20% ICETT, METI
Fish processing Philippines 2010 55% ICETT, METI Paint factory Philippines 2010 20% ICETT, METI
Ai-Ai Energy Associates
Reference of Energy Saving Audit by Virtual Factory -2
Industry or Factory country year Estimated Energy
Saving support
Cane Sugar Mill Philippines 2010 Power generation
80MW ICETT, METI
Brewery Philippines 2010 40% ICETT, METI
Ham, Sausage production Japan 2010 35% Commercial
Brewery Japan 2010 25% Commercial
Brewery South Africa 2011 35% RENOVA, GEC
Cassava starch factory Thailand 2011 Bio ethanol NEDO
Brewery Vietnam 2012 35% Commercial
Soft drink (carbonated) Laos 2012 40% Commercial
Brewery Vietnam 2012 35% RENOVA, GEC
Ai-Ai Energy Associates
Reference of Energy Saving Audit by Virtual Factory -3
Industry or Factory country year Estimated Energy
Saving support
Brewery Vietnam 2012 40% RENOVA, GEC
Brewery Vietnam 2012 45% RENOVA, GEC
Brewery Vietnam 2012 40% RENOVA, GEC
Brewery Vietnam 2012 35% RENOVA, GEC
Brewery Vietnam 2013 30% RENOVA, GEC
Instant Noodle factory Thailand 2013 40% RENOVA, JICA Ice Cream factory Thailand 2013 20% RENOVA, JICA
Sorbitol Factory Thailand 2013 15% RENOVA, JICA
Bakery Thailand 2013 25% RENOVA, JICA
Ai-Ai Energy Associates
Reference of Energy Saving Audit by Virtual Factory -4
Industry or Factory country year Estimated
Energy Saving support
Instant Coffee factory Thailand 2013 20% RENOVA, JICASoft Drink factory Thailand 2013 30% RENOVA, JICA Tuna Canning factory Thailand 2013 40% RENOVA, JICA
Brewery Thailand 2013 30% RENOVA, JICA
Cane Sugar Mill Philippines 2013 Power Generation
80MW USAID
Cane Sugar Mill Philippines 2013 Power Generation
40MW USAID
Cane Sugar Mill Philippines 2013 Power Generation
60MW USAID
Cane Sugar Mill Philippines 2013 Power Generation
20MW USAID
Soft drink Japan 2013 25% Commercial
Ai-Ai Energy Associates
Reference of Energy Saving Audit by Virtual Factory -5
Industry or Factory country year Estimated
Energy Saving support
Brewery Laos 2014 40% RENOVA, METI
Brewery Vietnam 2014 30% RENOVA, NEDO
Cane Sugar Mill Philippine 2014 Power Generation
80MW RENOVA, ANRE
Cane Sugar Mill Philippine 2014 Power Generation
40MW RENOVA, ANRE
Cane Sugar Mill Philippines 2014 Power Generation
80MW RENOVA, ANRE
Orange Juice factory Mexico 2014 50% RENOVA, NEDO
Cereal factory Mexico 2014 35% RENOVA, NEDO
Edible Oil factory Mexico 2014 25% RENOVA, NEDO
Soft drink factory Mexico 2014 25% RENOVA, NEDO
Ai-Ai Energy Associates
Reference of Energy Saving Audit by Virtual Factory -6
Industry or Factory country year Estimated
Energy Saving support
Brewery Mexico 2014 35% RENOVA, NEDO
Brewery Mexico 2014 40% RENOVA, NEDO
Brewery Mexico 2014 40% RENOVA, NEDO
Brewery Brazil 2014 45% RENOVA, NEDO
Brewery Brazil 2014 40% RENOVA, NEDO
Palm Oil mill Cambodia 2014 45% OECC
Brewery Cambodia 29014 40% OECC
Soft Drink (carbonated) Brazil 2014 30% RENOVA, NEDO
Winery Japan 2015 35% Commercial
Reference of Energy Saving Audit by Virtual Factory -7
Industry or Factory country year Estimated
Energy Saving support
Tabaco factory Laos 2015 25% OECC
Hotel Laos 2015 30% OECC
Hotel Laos 2015 30% OECC
Shoe Maker Laos 2015 30% OECC
Pig Farming Laos 2015 30% OECC
Reference of Brewery in Vietnam - Thanh Hoa Beer
Established in 1987
150km from capital Hanoi (3 hrs by car)
51ML annual beer production (in 2004, 7th largest production (1.2million kL-beer total in
Vietnam)
ISO9000 certified in 2002
Expanded production line in Apr 2004
(Capacity:8kL/brew ), and renewal of the exiting
brewhouse (30kL/brew) in Sep 2004
Products: Bia Thanh Hoa, Saigon, Hanoi
THANH HOA BREWERY BIA HAI PHONG
BIA SAIGON
Reference of Energy Saving with CDM-MYCOM Project
Ai-Ai Energy AssociatesImplemented Energy-saving Systems
B B T C
C V
Latest VRC System
Chiller
Chiller Chiller
Cascade Cooling System Dynamic Ice Storage/Transportation System
Economical Methane recovery System
Optimal Pasteurizing System
Reference of Energy Saving with CDM- MYCOM Project
Ai-Ai Energy Associates
VRC System for Wort Kettle
Saving steam by reusing the discharged steam
Discharged steam has great energy!
Reference of Energy Saving with CDM-MYCOM Project
Ai-Ai Energy Associates
VRC System
Wort Kettle: evaporates about 2 tons of water in 1 batch. The conventional system
discharges waste steam into atmosphere
Drain
Scrubber: cleans the waste steam and generates hot water for pre-heating the wort for the following batch
99ºC
85ºC
Wort Pre- Heater
Hot Wort 97ºC
Wort 78ºC Energy
Storage Tank 61m3
Reference of Energy Saving with CDM-MYCOM Project
Ai-Ai Energy AssociatesHeat Pump for pasteurizer
Temperature of Showering for final cooling zone is kept by Heat Pump Chiller stably.
Heat Pump supply the
condensing heat to the first heating zone to heat up the bottled Beer.
Irregular operation (starting,finishing and temporary stop and restart),cooling tower
supply and recuperate the heat of the pasteurizer
depending on the situation.
Reference of Energy Saving with CDM- MYCOM Project
Ai-Ai Energy AssociatesBiogas Recovery System
Waste Water from Brewhouse
UASB (high temperature)
Gas Holder
Bio-gas Boiler
Gas compressor
Steam Accumulator
Reference of Energy Saving with CDM-MYCOM Project
Ai-Ai Energy AssociatesCascade cooling system for ice water chilling
Water cooling from
28oC to 5oC (Large temp.
differential) .
Based on 1763kW (500TR) Cooling load.
Power consumption reduces to 60%.
Compressor capacity reduces to 70%.
Displacement volume of Compressor
Chiller
COP=4.87 Tc=35oC
28oC
5oC Te=0oC
Chiller
Chiller
Chiller
Cascade Cooling System
i
ii
Tc Te dT kW M3/h 35 0 35 362 1992 35 15 20 70 463 35 8 27 73 463 35 0 35 76 463 II Total 219 1389 II /I 60% 70%
II -I 143 603
Tc=35oC COP=8.06
28oC
18oC
10oC
5oC Te=0oC Te=15oC
Te=8oC
Based on 1763kW (500TR)
Conventional Cooling System
Reference of Energy Saving with CDM-MYCOM Project
Ai-Ai Energy AssociatesCascade Cooling System
No.1
No.2
No.3
30ºC
0ºC
Brewing Water Ambient Temp.
Ethanol Brine Tank
12m3
(Using existing Tank)
Chilled Water Tank
For Wort Cooling 140m3
Wort cooler Hot Brewing
Water Tank 85ºC
Hot Wort 99ºC
3ºC
Fermentation 30-40m3/1brew Tank
300-400m3/1day 30oC
20ºC 10ºC
0ºC
Water cooler
Started operation in August 2005
Ai-Ai Energy Associates
Reference of Energy Saving with CDM-MYCOM Project
Dynamic Ice Storage &
Transportation System
Jacket cooling
Plate cooling
Air cooler
Dynamic Ice Transporting Loop Piping Dynamic Ice
Storage Tank
Ai-Ai Energy Associates
Reference of Energy Saving with CDM-MYCOM Project
Comparison table of Transportation Performance
Temperature Transport system
Specific heat transportation Diameter of Pipe Required volume of water
Required pump power Running cost
19.8W/kg
Chilled water Dynamic ice
0℃/3oC -2oC/3oC
3.5W/kg 250mmNB 125mmNB
332m3/h 59m3/h
30.0kW 5.5kW
450yen/h 83yen/h
Cooling load is 1000Mcal/h Head of pump is 20m
Ai-Ai Energy Associates
Reference of Energy Saving with CDM-MYCOM Project
Dynamic Ice System
Dynamic Ice Storage tank -4ºC, 170m3
Dynamic Ice Maker
To use existing refrigeration compressor to make dynamic ice Refrig. Comp.
No.1 100kW Refrig. Comp.
No.2 100kW Refrig. Comp.
No.3 100kW Refrig. Comp.
No.4 100kW Pd:
Td: 110ºC
Heat recovery from NH3 discharge gas to make hot water
Evaporative Condenser
Fermentation
2ndBrewhouse WC 2ndBrewhouse FT
Ai-Ai Energy Associates
Reference of Energy Saving with CDM-MYCOM Project
Total Energy Saving Performance
Energy-saving: 3,386 Toe
CO2 emission reduction: 10,376 Ton
Ai-Ai Energy Associates