SIMULATION ANALYSIS OF SOLAR STERILIZATION SYSTEMS Tadashi Takakura1, Stephen Kania, and William J. Roberts Dept. of Bioresource Eng., Rutgers, The State University of New Jersey 20 Ag. Eng. Way, New Brunswick, N. J. 08901-8500 Abstract: A two-dimensional simulation model of a greenhouse-type solar sterilization system, which consists of a small tunnel with mulching, has been developed. Several parameters in the model were adjusted through model verification with experimental data. The model was then used to analyze effects of thermal properties on temperature increases at various soil depths. Higher emissivities or absorptivities of both tunnel and mulch films can result in higher soil temperatures. Absorptivity of the soil has a positive effect on maximum and a negative effect on minimum soil temperatures. Drier soil achieves higher maximum temperatures and lower minimum temperatures. Degree-hours above a particular temperature which kills soil-borne pathogens can easily be calculated by the model. Keywords: Solarization, Computer simulation, Sterilization, Mulching Introduction Soil sterilization is carried out in some areas by using agricultural chemicals or steam. It is apparent that the usage of chemicals such as methyl bromide (the use of methyl bromide will be prohibited after the year 2001) is not favorable because of their negative environmental impact, and steam is not favorable because of the great energy input required for its use. Mulching has been extensively studied for soil sterilization by solar energy (solarization) and has been thoroughly reviewed, although mostly from the pathological standpoint (Katan, 1981; Stapleton, 1996). It has also been reported that there is a large difference between promising results achieved in greenhouses and failures seen under field conditions (Katan, 1981). Now a greenhouse-type soil sterilization system has been built and investigated experimentally (Kania and Roberts, 1996). It is clear that the term "greenhouse effect" originated from greenhouses, and in this respect, greenhouses are not only places for plant production but also can be systems to collect solar energy. It can be said that greenhouses have not been well-studied in this aspect, although a high potential of the system to utilize solar energy is anticipated from an economic viewpoint. We have only a limited ability to experimentally test various types of sterilization systems under the many possible test site conditions because of the expense and time. In order to design the best system, it is necessary to test many types of systems. Simulation is an advantageous solution because many types of systems can be tested quickly on the computer. A simulation model for mulching was developed and a spatial soil temperature regime under transparent polyethylene mulch was analyzed (Mahere and Katan, 1981). The model was relatively similar to an earlier model, and did not take into account condensation which often occurs on the film surface and is linked with a large amount of energy transfer. The effectiveness of differing mulch widths was mainly discussed in the associated work. In the present research, a two-dimensional model of a greenhouse with mulching has been developed by using the computer simulation language called CSMP (Continuous System 1 Present address: College of Environmental Studies, Nagasaki University, Japan Modeling Program) which is available on PCs as well as mainframes and is a model-oriented language which is easy to use. Water balance including condensation on the film surface is taken into account in the present model. After the model was verified, a sensitivity analysis was conducted for the purpose of system design. Simulation Model Description A two-dimensional model of a greenhouse-type solar sterilization system with mulching has been developed (Fig. I)2. The soil surface is covered by plastic film ('mulch'), and then a tunnel is constructed over it. Tunnel temperature is represented by the variable TT and mulch by TC in the figure. Temperature and humidity ratio of air space in the tunnel are TI and WI, respectively. Temperature and humidity ratio of air space in the mulch are TB and WB, respectively. Arbitrary soil layers are divided in a two-dimensional way. There are five vertical layers (ZO through Z4), and five horizontal layers (XO through X4), which assume the system is symmetrical. Temperatures and the humidity ratio of the inside surface layer are TOI, T02, T03, and WF, respectively. Those outside the tunnel are T04, T05 and WE, respectively. The temperature of each soil block is defined as shown in the figure. Inputs to the system are outside hemispherical solar radiation (RAD), air temperature (TO), humidity ratio (WO), and dew-point temperature (TD) which is a variable for emissivity of the atmosphere. Wind speed is assumed as constant but can be input as a variable if the data is available. Heat transfer coefficients outside (HO) and at the tunnel surface as well as ventilation rate (QH) can be derived. Fig. 1. Two-dimensional model representation of a greenhouse-type solar sterilization system with mulching. Since the air gap between the mulch film and soil surface is small, it is assumed for simplicity that the temperature TB is the arithmetic average of TC and TF, and the humidity ratio WB is equal to WF. The inside soil surface layer was symmetrically divided into five blocks and the outside into two blocks as shown in Fig. 1. Then, the temperature TF was introduced as an average of T01, T02, and T03 for radiation exchange and for the calculation of WF. TE is an average of 2 A full model on a floppy disk is available from the first author on request. 120 T04 and T05 for the outside conditions of radiation and WE (humidity ratio of the outside). Then, 29 differential equations are formed for the 31 unknown variables, including TT, TI, WI, TC, WF, WE, T01, T02, ... ,T11, ... , T15, ... , T41, ... , T45 (see Fig. 1). Two additional equations to define WF and WE are derived from the relationship between saturated humidity ratio and temperature. Wetness factors to describe the degree of unsaturation of the soil surface are introduced. Numerical integration techniques are available in CSMP, hence the differential equation is converted into integration and can be written symbolically in the program code. Inputs such as solar radiation and outside temperature are described as functions which are based on actual measured values. Some thermal properties of the system, such as transmissivity of the film, have been experimentally determined and are introduced as functions by the use of function generators (AFGEN). Function generators in CSMP operate on pairs of values which constitute xy tables. Model Verification Model verification has been conducted using experimental data obtained from a solarization greenhouse built and instrumented for this purpose. The site and the greenhouses are described in the paper by Kania and Roberts (1996). All input data which was available experimentally were used, and some parameters which were not available experimentally were adjusted to match temperature patterns of inside air and soil layers. Simulation duration was 48 hours. It is apparent that outside conditions can be more simply determined if fewer parameters are used. An outside output from the system was soil temperature at 3 cm depth (T15). This temperature was measured a distance from the greenhouse, since surface temperature is a most difficult factor to measure experimentally. Furthermore, this temperature was used as an indicator to evaluate the agreement between the measured values and the simulated ones. In the present model, the thickness of the soil surface layer is assumed to be 1 cm, and the temperature of this layer is assumed to represent the surface temperature of the soil. Model variables representing important physical properties of the experimental solarization site include the following: the atmospheric emissivity (based on dew-point temperature); the absorptivity of the soil surface for solar radiation, and the heat transfer coefficient due to convection at the soil surface. These parameters were adjusted to obtain good agreement between the measured and simulated data. Timc(hr) Fig. 2. Measured and simulated temperatures of outside soil and inside air. 2 A full model on a floppy disk is available from the senior author on request. A typical simulated result showing outside soil temperature at the 3 cm depth is shown as the lower curve (measured values in open triangle symbols) in Fig. 2. It is clear that the simulated curve is higher than the measured values at all times for the outside soil temperature. There are several ways to decrease the simulated values in order to attain better agreement. These include using a lower atmospheric emissivity, a greater heat transfer coefficient or a lower absorptivity value at the soil surface. However, the former two affect inside conditions of the greenhouse and decrease inside temperatures as well. For the inside, it is clear that the simulated air temperature is already lower than measured values in the daytime, and so it is not practical to lower this simulated temperature further. A very low absorptivity for the outside soil surface (which assumes a very reflective soil surface) was already used in the existing simulation since experimental data was not available. Therefore, the simulated data shown in Fig. 2 was considered to be 'best- fitted' with the measured data. Some parameters of the inside conditions were then adjusted in order to match the simulated inside air temperature with the measured values, which are shown by the upper curve and dots, respectively, in Fig. 2. Inside air temperature was chosen as an indicator of the agreement between the simulated and measured values because the measured values of inside air temperature were a spatial average and had little distribution variation. In the nighttime, measured and simulated results agreed relatively well. In the daytime, however, the measured values were several degrees centigrade higher than the simulated results. The discrepancy between measured values of outside soil temperature and simulated ones is considered to be due to the lack of measured data of soil thermal properties such as thermal conductivity, volumetric heat capacity, absorptivity for solar radiation, and the initial spatial distribution of soil temperatures. Inside conditions in the daytime can be adjusted by parameters such as heat transfer coefficients inside and outside, and absorptivity of solar radiation. If better agreement is needed, modifications to these parameters based on experimental data should be made. There were some discrepancies between measured and simulated values in the present model, but the model itself can be used for sensitivity analysis for design purposes since its behavior described the system well. The discrepancies do not change the results of the sensitivity analysis when used for design purposes. Sensitivity Analysis and Discussion To design the system it was necessary to evaluate the effects of thermal characteristics of the films and soil properties on the system performance. If soil structures are homogeneous, the temperature regime in the soil layer has a typical shape, i.e., amplitude decay and phase delay vary according to the depth. In the present study, since physical characteristics of the system are paramount, comparison of maximum and minimum temperatures of the surface soil layer between inside and outside is a good indicator of system performance. The ratio of soil temperature of the inside surface layer to soil temperature of the outside surface layer has been used to evaluate the system in the present study. Choice of films for tunnel glazing and inside soil mulching Since lower emissivity of the plastic house glazing results in lower inside temperature, it is very important to first examine the effect of film emissivity on soil temperature. The effect of film emissivity on the ratio of maximum inside soil surface temperature to maximum outside soil surface temperature is summarized in Fig. 3-1. Fig. 3-2 shows the ratio of minimum temperatures. It is clear from Fig. 3-1 that the emissivity of mulch film has less effect than that for tunnel film, but both emissivities have positive relations with the ratio of maximum temperatures. Suppose the outside soil surface temperature is 40°C. Then the inside soil surface can reach 40°C x 1.8 = 72°C in this case when emissivities are 0.9 for tunnel and 0.8 for mulch. Films with high emissivities are 122 recommended for tunnel glazing, but this is not necessary for mulching film. The trend is very similar to the ratio of minimum temperatures in Fig. 3-2, although in this case, emissivity has less impact. Since emissivity is ckisekt related to long-wave radiation exchange, it is surprising that the emissivity has little effect on the ratio of minimum temperatures. This is especially remarkable at night, because emissivity is one of the dominating factors in the nighttime temperature regime. Fig. 3-1. Ratio of maximum temperatures of inside and outside soil surfaces. Fig. 3-2. Ratio of minimum temperatures of inside and outside soil surfaces. Table 1. Effect of absorptivity on temperature ratios(min. temp./max. temp, ratios). Mulch 0.01 0.08 0.01 1.12/1.67 1.14/1.72 0.08 1.13/1.70 1.15/1.76 Absorptivity Tunnel 123 Table 1 shows the effect of the absorptivities of tunnel and mulch films. These absorptivity coefficients are based on the amount of solar energy absorbed by the films. The values used in the present study are the correct order of magnitude, namely between 1 and 8 %. Higher film absorptivity values reduces the energy impacting the soil surface and is not effective in achieving higher soil temperatures. For example, when absorptivity is increased from 1 % to 8%, the changes in the ratio of temperatures are very small: the ratio of maximum temperatures rises slightly from 1.67 to 1.76 and the ratio of minimum temperatures increases only from 1.12 to 1.15. Therefore, although higher absorptivity increases mulch and tunnel film temperatures for both day and night, the overall effect is negligible. Infiltration effects When properly installed, soil mulching with plastic film can be very airtight. Row tunnels placed above mulched soil are generally much less airtight. For the purposes of solarization, tunnels should be as airtight as possible because infiltrating air is at much lower temperatures and this, combined with the air movement from infiltration will have a negative effect on soil temperature. In this model, air infiltration through the tunnel is taken into account, although the soil mulch is assumed to be airtight. The air infiltration rate was first set at QH = 0.03 m3m"2min~' which is equivalent to one volume air change per hour. During the sensitivity analysis QH was increased to 0.1, 1.0, and 3.0 (100 times higher than the first estimate). The temperature ratios do not change at all for QH = 0.1, and increase only slightly at QH = 1.0. The maximum and minimum temperature ratios are 1.83 and 1.17, respectively, foraQH of 0.1. These become 1.82 and 1.16 at a QH of 3.0. At present, the heat transfer coefficient at the inside surface is assumed to change with QH because high infiltration rates increase the coefficient. The heat transfer coefficient at the inside surface, HI, was set to 10 kJm~2hr"l0C"' for two early cases and was set to 15 in two later cases. HI is the sole variable affecting convective heat transfer between the soil mulch and tunnel films and the tunnel air. Internal circulating fans can be used to increase HI. Therefore, an airtight tunnel is desirable but not mandatory. As the sensitivity analysis results show, infiltration can be 100 air changes per hour without significantly affecting the mulched soil temperature. Soil properties Soil water content was thought to have a significant effect on the soil temperature regime, because of the large specific heat and high thermal conductivity of water. The affected soil properties are its volumetric heat capacity and its thermal conductivity. Fig. 4 shows the change of temperature ratios for maximum and minimum soil surface temperatures according to the change of volumetric heat capacity of soil. As the soil becomes drier, its volumetric heat capacity decreases, the ratio of maximum soil surface temperatures increases and the minimum temperature ratio decreases slightly. The effect of water content on the thermal conductivity of the soil (KS) is very similar. Increasing soil water content increases its thermal conductivity. The thermal conductivity in the model is called 'apparent thermal conductivity' because it is really a heat transfer coefficient which takes into account heat flow due to water movement in the soil layers. When KS is doubled from 2.5 to 5.0 kJm"'hr"loC"1, the ratio of maximum soil surface temperatures decreases about 10%, and the minimum temperature ratio shows a negligible 1% decrease. The effect of soil absorptivity, which affects the amount of energy received directly from solar radiation, is shown in Fig. 5. The ratio of maximum soil temperature is over 2.0 when its absorptivity is 0.8, which means the inside maximum soil surface temperature is more that twice that of the outside. The effect on the ratio of minimum soil surface temperatures is similar in direction but is of greatly reduced magnitude. The change in soil water content affects not only heat flow but also the gaseous composition of the soil. Dry soil inhibits the growth of nematodes and 124 other soilborne pathogens (e.g., Katan, 1981). Further investigation into the merits of solarizing and relatively dry soil should be made from a plant pathology viewpoint. 2.5 2.5 Max. ? o aj 1.5 i-i O, I e a; H 0.5 2 Kj l-l 1.5 ci E Min. D Min. H 0.5 0 0 2000 4000 5000 Volumetric heat capacity(kJ/m 3 /C) Fig. 4. Effect of soil water content on temperature ratios. 0.8 0.6 0.4 Soil a b s o r p t i v i t y Fig. 5. Effect of soil absorptivity on temperature ratios. Horizontal heat flow in soil layer All thermal effects in the soil need to be considered including horizontal heat flow. For long tunnels, horizontal heat flow along the long dimension can be neglected. Depending upon tunnel width, horizontal heat flow along the short dimension may become as important as vertical heat flow. Since soil temperatures in the solarized tunnel are much higher than those outside, horizontal heat flow exists. The impact of this heat flow can be reduced in several ways. One way is to make a wider structure (either a wider single-span type or multispan). For a solarized greenhouse, the insulation board can be buried along its perimeter. Depending upon the individual situation, these two methods can be sufficient to reduce the heat flow problem to one dimension. The model predicted a smaller temperature gradient than was observed experimentally. The reason for this is not yet clear. Possibly, it was due to some unknown experimental error, but more probably, the differences arose because most of the soil thermal properties were not precisely known, as discussed previously. Degree-hour concept for thermal mortality The effect of thermal treatment on soil-bome plant pathogens has been studied and the degree of thermal mortality depends on both the temperatures achieved as well as exposure duration (e.g., Katan, 1981; Pullman et al., 1981). A linear relationship was found when the logarithm of exposure time required to kill 90% of soil-bome plant pathogens was plotted against temperature (Pullman et al., 1981), but the dynamic temperature change in the soil layer was not discussed. Soil temperature change is dynamic, that is, dependent on time. Tolerance of soil- borne pathogens can be expressed by the time duration of exposure above the minimum temperature required. This concept can be summarized with a degree-hour expression, where is temperatures above a particular threshold are integrated over time, hence 'degree-hours', which is easily calculated by the model for a particular condition. Greenhouse thermal efficiency A greenhouse itself is a vessel for plant production, and by its thermal merits (even when unheated) it can extend the season of plant production. In addition, its thermal efficiency is further enhanced when the soil within is mulched with plastic (nonpermeable) film. A modified computer model which does not have a greenhouse structure over the soil mulching, has been tested in order to help analyze the thermal efficiency of greenhouses. In the present model, it was difficult to find 125 a significant difference between the overall thermal efficiency of the greenhouse system and just a soil mulch. Maximum soil temperature is lower in the greenhouse system because of the reduced energy input of solar radiation transmitted through the greenhouse glazing. However, the greenhouse becomes a warm air reservoir which prevents lower soil temperatures at night. The model was configured for a 48-hour simulation to analyze the effect of the thermal properties of the materials used. The thermal advantage of the greenhouse over the mulched soil is that it is a slow but effective means of long-term energy accumulation in the soil solarization system. Since the thermal efficiency of the greenhouse system depends on the properties of the tunnel covering materials, it is clear that the thermal properties of the tunnel cover should be optimized. Theoretically the best system is a 'greenhouse' which is a movable screen system that remains open in the daytime (to accumulate energy efficiently) and closes at night to attenuate energy loss. Further investigation is needed to confirm this hypothesis. Conclusion A two-dimensional simulation model of a greenhouse-type soil sterilization system, which consists of a small tunnel with mulching has been developed. The model has been verified by experimental data, although some discrepancies exist in soil temperatures because not all soil parameters were measured. The model was then used to analyze the effects of thermal material properties on temperature at various soil depths. It is recommended that tunnel and mulch films with higher emissivities be used, which result in higher soil temperatures. P VC or IR-resistant PE film is better than ordinary PE film but glazings with much higher emissivities need to be developed. Condensation droplets on the inside film surface increases emissivity. Increases in the absorptivity coefficient of both tunnel and mulch films up to 8% result in rises in soil temperatures on the order of 1%. Absorptivity higher than 8% does not give better results. The properties of the tunnel cover have a greater impact on soil temperature than those of the soil mulch. Therefore, more attention should be paid to the design of tunnel films. Absorptivity of the soil has a positive effect on maximum and a negative effect on minimum soil temperatures. Drier soil gives higher maximum temperatures and lower minimum temperatures. Airtight coverings are recommended, even though infiltration does not have a significant effect on soil temperature (within certain limits). In general, the still air provided by airtight coverings acts as good insulation for the mulching. Degree-hours above a certain temperature at a certain soil depth, which kills soil-bome pathogens, can be easily calculated by the model. 1. Literature Cited Kania, S. and W. J. Roberts. 1996. Solarization study of soil in plastic greenhouses. Proceedings 2. 3. 4. 5. 6. of the 26th National Agricultural Plastics Congress. C. A. Storlie ed. pp 60-65. Katan, J. 1981. Solar heating (solarization) of soil for control of soilborne pests. Ann. Rev. Phytopathoi, 19: 211-236. Mahrer, Y. and J. Katan. 1981. Spatial soil temperature regime under transparent polyethylene mulch: Numerical and experimental studies. Soil Sci., 131: 82-87. Pullman, G.S., J. E. DeVay, and R. H. Garber. 1981. Soil solarization and thermal death: A logarithmic relationship between time and temperature for four soilborne plant pathogens. Phytopathology, 71: 959-964. Stapleton, J.J. 1996. Fumigation and solarization practice in plasticulture systems. Hort Technology, 6: 189-193. Takakura, T. 1993. Climate under Cover. Digital Engineering. Kluwer Academic Publishers, 155 pp. 126 Dynamic Simulation of Plant Bio-