1 Cookstove Performance & Emissions
2 BACKGROUND [1]
3 TWO STOVES Three stones stove[2] Jiko Stove [3]
4 TWO FUELS WOOD CHARCOAL Enclosed Container Low Oxygen Exothermic Hard Wood (Maple) Higher Energy More heat
5 THE PLAN Mechanical Environmental Engineers Engineers Predictions Particulate Matter (PM) Testing & Performance Analysis Testing & Analysis
HEAT TRANSFER β’ π πΈππππ€ππ ππ = π ππππ€,π’ππ’ππ + π π ππ,π’ππ’ππ + π ππππ,π’ππ’ππ CONVECTION β’ π ππππ€ = β β π΅π ππ β (ππππ βππ’ β ππππ ππππ ) RADIATION 4 β ππππ ππππ 4 ) β’ π π πππππ’πππ = Ξ΅ β π β π΅π ππ β (ππππ βππ’ CONDUCTION πβπ΅π ππβ(ππππ βππ’ βππππ ππππ ) β’ π π·ππππ£ππ’πππ = πππππ’β [7]
7 TESTING MATERIALS
8 WATER BOILING TEST PROTOCOL VERSION 4.2.3* Phoenix Flagstaff ALT=7100ft ALT=1159ft Record Weigh the fuel, Place the pot Set up the temperature Weigh fuel lighter fluid, and & digital and water stove at 3 minute water thermometer intervals *By U.S. Environmental Protection Agency, Partnership for Clean Indoor Air (PCIA), with updates coordinated by PCIA and the Global Alliance for Clean Cook stoves (Alliance). [5]
TESTING DATA ANALYSIS 9 π πΈππππ€ππ ππ Efficiency Ξ· π’β = β’ ππ. π π πΊπ£ππ π πΈππππ€ππ ππ = ΞE πΌ20 + ΞE π€ππ + ΞE ππ ππ. π β’ β’ ΞE H20 = π πΌ20 β T final β T initial β πππ‘π‘ πΌ20 ππ. π β’ π πΊπ£ππ = πππ‘π‘ πΊπ£ππ β πΌπππ’πππππππ£π πΊπ£ππ ππ. π π πππππ€ππ ππ β’ πππ₯ππ = ππ. π π’πππ [5], [6]
RESULTS 10 EFFICIENCY AND POWER WOOD WOOD ,WINDY ,WINDY CHARCOAL WOOD WOOD CHARCOAL β’ Wood produced more power than charcoal . β’ Charcoal was more efficient in the Jiko . β’ The Jiko was more efficient and produced more power than the 3-stone .
11 FLAGSTAFF VS. PHOENIX Phoenix Jiko Hot Start and Charcoal Jiko Cold Start and Wood 100 120 90 Temperature (Celsius) 100 Temperature (Celsius) 80 70 80 60 60 50 40 40 30 20 20 Flagstaff 10 0 0 0 5 10 15 20 25 30 35 40 45 0 5 10 15 20 25 30 35 40 45 Time (Minutes) Time (Minutes)
12 WHAT IS PARTICULATE MATTER? β’ The sum of all solid and liquid particles suspended in air many of which are hazardous β’ Organic and inorganic β’ Dust and smoke [7]
13 WHY IT IS HARMFUL? [8], [9]
14 WHAT IS PARTICULATE COUNTER? In General β’ Used in detecting and sizing physical particles emitted. β’ Used in counting the particles emitted. Met one Model 212 Met One Instrument Model 212 β’ Laser diode based optical sensor. β’ Uses light scatter technology. β’ Measure 0.3 ΞΌm to 10 ΞΌm (eight selectable sizes). [10]
PM TESTING METHOD 15 Set up the device 2 feet from the emissions source Attach it to the computer Start recording the data from the device profiler software Analyze the data in a spreadsheet
16 PM ANALYSIS METHOD Emissions Rate PM counted/time Density*Volume ο Mass Density = 704.1 Kg/m 3 Spheres ο Volume [11]
17 PM EMISSIONS RATE Jiko stove with charcoal & wood 3-stones stove with charcoal & wood 3.00E-11 3E-11 2.50E-11 2.5E-11 2.00E-11 2E-11 Kg/min Kg/min 1.50E-11 1.5E-11 1.00E-11 1E-11 5.00E-12 5E-12 0.00E+00 0 Charcoal PM <=2.5 Charcoal PM <=10 Charcoal PM <=2.5 Charcoal PM <=10 Wood PM <=10 Wood PM <=2.5 Wood PM <=10 Wood PM <=2.5
18 PM TESTING RESULTS Charcoal Wood Jiko PM<=2.5 3-sotnes PM<=2.5 Jiko PM<=2.5 3-stones PM<=2.5 Jiko PM<=10 3-stones PM<=10 Jiko PM<=10 3-stones PM<=10 600000 600000 500000 500000 400000 400000 Counts Counts 300000 300000 200000 200000 100000 100000 0 0 0 5 10 15 20 25 30 35 0 5 10 15 20 25 30 35 Time (minutes) Time (minutes) β’ Wood produced significant amounts of PM <= 2.5 microns β’ Charcoal produced far less PM <=2.5 microns β’ The Jiko with charcoal produced the fewest emissions of any combination
PM TESTNG RESULTS Wood Charcoal β’ Jiko with charcoal produces fewest PM<=2.5 to boil 3 liters of water.
20 EFFICIENCY AND PM RESULTS EFFICIENCY EMISSIONS WOOD CHARCOAL FUEL TYPE Jiko 3-Stones PM SIZES (microns) Jiko 3-Stones Jiko 3-Stones 23.9% 12.4% WOOD 20.3% 8.2% PM οΌο½ 2.5 1546 1790 151 186 *10^3 28.3% 8.9% CHARCOAL PM <= 10 1.02 1.98 1.2 1.12 24.8% 9.0% *10^3
21 RECOMMENDATIONS Next Stove Capstone Group Women in Rural Areas of Africa β’ Mechanical Engineering Students β’ The Best Option in Terms of Efficiency : I. More Cookstoves οΌ Jiko with charcoal II. Proper scale The Best Option in Terms of Power : β’ III. More testing trials οΌ Jiko with wood IV.Isolated facility V. Continual feed testing VI.Simmer testing VII.Animal waste testing
22 RECOMMENDATIONS Next Stove Capstone Group Women in Rural Areas of Africa β’ Environmental Engineering Students β’ The Best Option in Terms of PM I. Carbon Monoxide (CO) Emissions : II. Carbon Dioxide (CO2) οΌ Jiko with charcoal III. Nitrogen Oxides (NOx)
23 ACKNOWLEDGEMENTS Dr. Fethiye Ozis Dr. Sagnik Mazumdar Dr. Terry Baxter Instructor Gary Slim
REFERENCES 24 [1] R. Muthiah, clean cookstove drive gender quality . 2015. β’ [2]"Well-Tended Fires Outperform Modern Cooking Stoves", LOW-TECH MAGAZINE , 2016. [Online]. Available: β’ http://www.lowtechmagazine.com/2014/06/thermal-efficiency-cooking-stoves.html. [Accessed: 01- Dec- 2016]. [3]"KENYA: Energy saving stoves to save forest cover", Charcoalproject.org , 2016. [Online]. Available: β’ http://www.charcoalproject.org/2010/07/kenya-energy-saving-stoves-to-save-forest-cover. [Accessed: 01- Dec- 2016]. [4]F. Incropera, Fundamentals of heat and mass transfer , 7th ed. Hoboken, NJ: John Wiley, 2011. β’ [5] M. Johnson, T. Bond, C. Roden, N. MacCarty , et al, βThe Water Boiling Test: Cookstove Emissions and Efficiency in a β’ Controlled Laboratory Settingβ, Standards and Testing, Vol 4.3, no. 2, pp 1 -89, 2014 [6] βWood Combustion Heat Values,β Engineering Tool Box. [Online]. Available: β’ http://www.engineeringtoolbox.com/wood-combustion-heat-d_372.html. [Accessed: 01-Dec-2016]. [7]βAtmospheric particulate matter β GreenTnT, 2016. [Online]. Available: http://greentnt.org/pm. [Accessed: 02- Dec- β’ 2016]. [8]P. Air, "Particulate matter - Partners for Clean Air", Cleantheair.org , 2016. [Online]. Available: β’ http://www.cleantheair.org/air-quality-information/particulate-matter. [Accessed: 02- Dec- 2016]. [9]"Everything You Need to Know About Airborne Particulate Matter", Alencorp , 2016. [Online]. Available: β’ https://www.alencorp.com/pages/everything-you-need-to-know-about-airborne-particulate-matter. [Accessed: 02- Dec- 2016]. [10]"Met One Instruments Particle Counter Weather Station Equipmentβ Aikencolon , 2016. [Online]. Available: β’ http://www.aikencolon.com/met-one-instruments. [Accessed: 11- Oct- 2016]. [11] βWood Species - Moisture Content and Weight,β Engineering Tool Box, 2016 . [Online]. Available: β’ http://www.engineeringtoolbox.com/weigt-wood-d_821.html. [Accessed: 01-Dec-2016].
25 QUESTIONS?
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