International Standards for Testing Solar Cookers
from ASAE Standard S580

 

 

Dr. Paul A. Funk

USDA Agricultural Research Service

PO Box 578, Mesilla Park, NM  88047 USA

(505) 526-6381, Fax (505) 525-1076, pfunk@nmsu.edu

 


Illustrations to Accompany this text.

Figures Referenced by this text.

More Complete Version of This Paper in PDF format.


 

Abstract--The international standard procedure for testing solar cookers and reporting performance sets limits for environmental conditions, specifies test procedures, and calls for performance to be reported in terms of cooking power (W).  This test standard makes it possible to compare solar cookers based on performance.  Researchers, manufacturers and consumers all benefit if standards are used.  This paper explains the reason for having a test standard, presents the standard, and demonstrates its use.

 

 

1.      INTRODUCTION

 

     Increased awareness of the growing worldwide need for alternative cooking fuels has resulted in an expansion of solar cooker research and development.  This expansion, combined with globalization and growth in the solar cooking industry, makes the existence of standards critical.  The objective of this paper is to present and justify the new solar cooker test standard.  A new test standard was first proposed at the Third World Conference on Solar Cooking (Avinashilingam University, Coimbatore, India, 6-10 January, 1997).  A committee of technical experts was formed at the conference to draft a standard.  The first draft benefited from the diverse perspectives of people with experience in many different countries and circumstances.  Correspondence over the following months refined it.  The publication peer review process then brought the standard to its finished state.  The standard specifies reporting the cooking power when water inside pots is 50șC hotter than the ambient air.  This number, like the fuel economy rating of an automobile, is not a guarantee of performance: it is useful for comparison.

 

2.      JUSTIFICATION

 

With solar cooking moving into the mainstream of economic society, more players are becoming involved and transactions are becoming more complicated.  The existence of a common language is essential to a host of parties:

·        Researchers discussing the results of a promising experiment

·        Social leaders evaluating the suitability of various cookers to their culture and climate

·        Activists picking do-it-yourself plans for a grass-roots dissemination strategy

·        Civil servants qualifying manufactured cookers for government subsidy or tax credit

·        Volunteers planning a solar cooking program for a Non-governmental organization

·        Industrialists selecting a design for mass production

·        Merchants deciding on models to retail to their customers

·        Consumers choosing a unit appropriate to the needs of their family

 

     All of these individuals need a fair and repeatable means to make rational economic decisions.  A universal means is required to make comparisons between technologies.  An accurate means is necessary to be predictive of performance once climate variables are taken into consideration.  A satisfactory means will also be easy to apply in the various situations people concerned with solar cooking might find themselves, be it a well-equipped research laboratory in a large city or some remote rural location.

 

     Test standards have existed for some time.  Unfortunately they have not been widely employed in papers discussing solar cooker performance.  The Indian standard used for deciding on subsidy (Anonymous, 1992) is for one specific design.  It is based on the test standard proposed by Mullick et al (1987), a well reasoned one based on the laws of physics.  Though more complicated to use and less universal than the one being recommended, that standard inspired the new one.  The objectives of the new standard are as follows:

1)      To make testing as simple as possible, so it is practical to use,

2)      To present cooker performance in widely recognized units, so it is easy to understand,

3)      To present information that will be predictive of performance at different locations, so it is readily transferable,

4)      To differentiate between solar cooker designs, so it is useful, and

5)      To be repeatable, so it can be trusted.

 

     The test standard committee considered these objectives when the standard was drafted.  Through much discussion and compromise the objectives were balanced against each other so that maximizing one objective did not conflict with realizing another.  Funk (1999) demonstrated that these criteria are satisfied using the new standard.

3.      THE STANDARD

 

     Recognizing the need for both a common format by which researchers can share results and for a single measure of performance to facilitate consumers’ selection of solar cookers, the test standard committee convened at Coimbatore 9 January 1997 agreed that:

     The one figure best representing thermal performance is effective cooking power, which accounts for both different cooker sizes and heat gain rates.  The unit of power with which most people are familiar is the Watt.  The influence test conditions have on results can be minimized if uncontrolled variables are held to certain ranges.  Therefore, the committee recommends the following test procedure and reporting format:

 

3.1.  Uncontrolled (Weather) Variables

     3.1.1.  Wind.  Conduct solar cooker tests when wind is less than 1.0 m/s at the elevation of the cooker being tested.  If the wind is over 2.5 m/s for more that ten minutes, discard the test data.  Reason: Heat loss is strongly influenced by wind velocity.  Wind velocities less than 1.0 m/s help to maintain a heat loss coefficient close to the natural convection loss coefficient, yielding results that are more consistent and repeatable.  If wind shelter is required, it must be constructed so it does not interfere with incoming total radiation.

     3.1.2.  Ambient Temperature.  Conduct solar cooker tests when ambient temperatures are between 20 and 35șC.  Reason: Ambient temperature extremes experienced in one location may be difficult to replicate at another location.  Cooking power is influenced by temperature difference.  A range of 15șC keeps variability moderate, yet permits testing in most locations for at least half the year.  Unavoidable exceptions need to be noted.

     3.1.3.  Pot Contents Temperature.  Record data for water temperatures between 40 and 90șC.  Reasons: Pot contents must be above ambient for there to be heat losses.  The latent heat of vaporization severely depresses apparent cooking power as water nears boiling.  Avoiding the upper limit reduces the probability of having anomalies in the data.

     3.1.4.  Insolation.  Available solar energy is to be measured in the plane perpendicular to direct beam radiation (the maximum reading) using a radiation pyranometer.  Variation in measured insolation greater than 100 W/m2 during a ten minute interval, or readings below 450 W/m2 or above 1100 W/m2 during the test render the test invalid.  Reason: Maintaining moderate fluctuations in insolation levels reduces the variability caused by thermal inertia effects.  Taking readings within 65% of the standard insolation level (which is 700 W/m2) reduces errors introduced by adjusting cooking power for available insolation.  It is expected that most locations will meet these criteria.  If not, exceptions need to be specially noted.

     3.1.5.  Solar Altitude and Azimuth Angle.  The committee strongly recommends that tests be conducted between 10:00 and 14:00 solar time.  Reason: Solar zenith angle is somewhat constant at midday, and the difference between insolation measured in the plane of the cooker aperture and the plane perpendicular to direct beam radiation will vary least.  Exceptions necessitated by solar variability (presence of clouds at midday during monsoon season) or ambient temperature (midday is too hot) must be noted.

 

3.2.       Controlled (Cooker) Variables

     3.2.1. Loading.  Cookers are to have 7 kg water/m2 intercept area distributed evenly between the pots supplied with the cooker.  Intercept area is defined as the sum of the reflector and aperture areas projected onto the plane perpendicular to direct beam radiation (Figure 1).  The beam radiation zenith angle may be averaged over the test period.  Tracking may compensate for the beam radiation azimuth angle.  These two strategies should result in a constant intercept area, facilitating load calculations.  Reasons: Water closely resembles food in density and specific heat, but is more consistent.  Intercepted radiation is the best measure of available energy.  Thermal performance is sensitive to loading rate.  This particular value is close to the various loading rates cited in previous publications.

     3.2.2. Tracking. Azimuth angle tracking frequency must be appropriate to the cooker’s acceptance angle.  Box-type cookers typically require adjustment every 15 to 30 minutes or when shadows appear on the absorber plate.  Parabolic-type units may require more frequent adjustment to keep the solar image focused on the pot or absorber.  With box-type cookers, zenith angle tracking may be unnecessary during a two hour test conducted at mid-day.  Testing should be representative of anticipated consumer habits.

     3.2.3. Temperature Sensing.  Thermocouples are recommended for their low cost, accuracy and rapid response.  Use pot(s) supplied with the cooker.  If unavailable, use inexpensive aluminum pots most likely to be employed by the consumer.  Thermocouple junctions should be immersed in the water in the pot(s) and secured 10mm above the pot bottom, at the center. Illustration of recommended thermocouple mounting.  Thermocouple leads are to come through the pot lid (or wall above the water line) inside a thermally nonconductive sleeve that will protect the thermocouple wire from bending and from temperature extremes.  Secure the sleeve with silicone caulk to reduce vapor loss.  Reasons: Proper thermocouple placement can minimize errors that might be caused by thermal stratification and sensor intrusion into the pot.  The thermal storage capacity of inexpensive aluminum cooking pots is insignificant compared to the thermal storage capacity of the water contained by them.

 

3.3.  Test Protocol

     3.3.1.  Recording.  The average water temperature (șC) of all the pots in one cooker is to be recorded every ten minutes, to one tenth of a degree if possible.  The solar insolation (W/m2) and ambient temperature are recorded at least as frequently.  Record and report the frequency of attended (manual) tracking, if any.  Report azimuth angle(s) during the test.  Report the test site latitude and the date(s) of testing.  Reason: Ten minutes is a long enough time that the minor fluctuations in heat loss due to ambient temperature and wind variability are expected to be negligible.  Ten minutes is a short enough time that the heat gain variability due to gradual sun angle changes may be considered constant during the interval.

     3.3.2.  Calculating Cooking Power.  The change in water temperature for each ten minute interval is to be multiplied by the mass and specific heat capacity (4186 J/kgK) of the water contained in the pots.  Dividing this product by the 600 seconds contained in a ten-minute interval yields the cooking power in Watts.  Reason: Solar cookers must heat food, and sensible heat gain in a cooking pot is the best measure of a cooker's ability to effectively heat food.

     3.3.3.  Calculating Interval Averages.  The average insolation, average ambient temperature, and average pot contents temperature are to be found for each interval.

     3.3.4.  Standardizing Cooking Power.  Cooking power for each interval is to be corrected to a standard insolation of 700 W/m2 by multiplying the observed cooking power by 700 W/m2 and dividing by the average insolation recorded during the corresponding interval.  Reason: To facilitate the comparison of results from different locations and dates.

     3.3.5.  Temperature Difference.  Ambient temperature for each interval is to be subtracted from the average pot contents temperature for each corresponding interval.  Reason: Heat loss increases with the difference in temperature between the solar cooker interior and the cooker's surroundings; pot contents temperature correlates to cooker interior temperature.

     3.3.6.  Plotting.  The standardized cooking power (W) is to be plotted against the temperature difference (șC) for each time interval.

     3.3.7.  Regression.  A linear regression of the plotted points is to be used to find the relationship between cooking power and temperature difference in terms of intercept (W) and slope (W/șC).  At least thirty observations are required.  The coefficient of determination (R2) or proportion of variation in cooking power that can be attributed to the relationship found by regression should be better than 75% or specially noted.  Reasons: Statistical measures of goodness of fit for the regression line require a fairly large sample, and systematic errors are less likely to be repeated on different days.  Excessive experimental error may invalidate the test.

     3.3.8.  Single Measure of Performance.  The value for standardized cooking power (W) is to be computed for a temperature difference of 50șC using the above determined relationship.  Reason: One single number in common units familiar to most consumers best facilitates the comparison of different devices.  A temperature difference of 50șC strikes a balance between overemphasis on the startup cooking power (where concentrating ovens are strongest) and stagnation temperature (where box cookers tend to be superior) and is just below that critical temperature where cooking begins to occur, the temperature when a solar cooker succeeds or fails.  NOTE: For product labeling and sales literature it is strongly recommended that this number be calculated from a regression found by an independent laboratory using a statistically adequate number of trials.

     3.3.9.  Reporting.  Plot the relationship between standardized cooking power and temperature difference, and present the equation.  State the cooking power (standardized) at a temperature difference of 50șC.

 

4.      APPLICATION

 

4.1.  Example 1: Comparing Different Cookers

     Four solar cookers with the same sized cooking chamber and the same number of pots were built with either good or poor insulation and either a large or a small solar intercept area.  The two levels of intercept area were realized with one reflector (0.293 m2) or four reflectors (0.966 m2).  The two levels of heat loss were realized either by having glazing (4.8 W/m2K) or by leaving the cooking chamber unglazed (7.6 W/m2K).  These cookers were tested according to the standard.  Figure 2 shows a plot of the cooking power regression line for all four cookers.  Each line is an average of four days of data, normalized for insolation according to the standard.  The two cookers with large collector areas both enjoyed a high initial cooking power (zero-intercept).  The two unglazed cookers both suffered a rapid decrease in performance as the temperature difference increased.  Their high heat loss is reflected in the regression line as a steep negative slope.  The slope of the cooking power regression line correlated to the heat loss coefficient independent of the solar intercept area.

 

4.2.  Example 2: Comparing Different Instrumentation, Dates and Locations

     A solar cooker was tested according to the standard in November of 1998, with automated data recording (using an electronic datalogger) in Las Cruces, New Mexico.  The results were compared with data taken using the same cooker eighteen months earlier, in May of 1997, with hand held instruments in Tucson, Arizona.  Tucson and Las Cruces are at the same latitude but different elevations (728 m and 1183 m, respectively).  There also was a big difference in solar altitude due to the different time of year of the two tests.  The cooker held five pots, each filled with 424 grams of water.  Water mass was found volumetrically in a graduated cylinder calibrated with an electronic balance.  Other instruments used in the first test were thermocouple wire (US$ 15) a thermocouple reader (US$ 80) a radiation pyranometer (Li-Cor 200SA, US$ 180) and a volt meter (US$ 100).  Figure showing tools used in the first test. The pyranometer’s current signal was passed through a 100 W resistor to get voltage.  The measured voltage was converted into W/m2.  Insolation and temperature were recorded by hand in a notebook every ten minutes.  Although hand held instruments did not provide as many observations as the electronic datalogger did, they still gave enough data points to follow the test protocol and to fit a curve with an R2 of 0.95.  Figure 3 illustrates results from the two tests.  Performance decreased slightly with age.

 

4.3.    Conclusion

The test standard can be followed independent of infrastructure using hand-held instruments that cost less than US$ 400.  The cooking power regression line clearly distinguishes between cookers.  Results appear to be transferable and repeatable.  This test standard should serve the solar cooking movement well as it continues growing.

 

5.   REFERENCES

 

Anonymous. (1992).  Indian Standard- Solar Cooker- (3 Parts) IS 13429. Bureau of Indian Standards, New Delhi.

Funk P.A. (1999). Evaluating the international standard procedure for testing solar cookers and reporting results.  Solar Energy 68 (1): 1-7

Mullick S.C., Kandpal T.C. and Saxena A.K. (1987). Thermal test procedure for box-type solar cookers. Solar Energy 39 (4): 353-360.