SoilModelManager is a software tool that automates the selection of soil structures that apply during winter (or early spring) and dry summer seasons, based on soil resistivity measurements carried out during normal warm and moist conditions such as early summer conditions.
In regions where the top layer soil can freeze during winter or dry out during summer it is necessary to assess the effects of shallow depth resistivity variations on the grounding design.
The designer of a grounding system therefore must determine whether seasonal soil resistivity variations have an impact on the grounding performance. Consequently, consideration of the so-called “winter and early-spring worst-case scenario conditions” or “wet soil surface and shallow depth dry soil summer conditions” must be taken into account when building a realistic soil model that reflects realistic conditions throughout the year. However, there is no established approach on how to model this phenomenon. SoilModelManager is a software tool that automates the selection of soil model structures that apply during various seasons.
Overview of SoilModelManager
IEEE Standard 80 acknowledges the well-known fact that soil resistivity increases dramatically when the temperature drops below zero degrees Celsius. The resistivity can increase by a factor of 5-1,000 times the “summer” value, depending on the temperature, soil material type, moisture content, salinity etc. What resistivity scaling factors should be used for the various top soil layers that are affected by the temperature in a given geographical region when soil freezes? Some have argued that a factor of 5 to 6 would be an adequate average. Others prefer to use a value on the order of 20 or more. However, the best approach does not consist of trying to use an average value, but rather to emulate the real distribution of resistivity with depth as a function of the temperature at that depth. This is what SoilModelManager does, taking into account the unfrozen (summer) soil model and other relevant information such as meteorological data as provided by the user. SoilModelManager uses resistivity scaling factor curves corresponding to the soil type under study to automatically generate the appropriate soil models for the winter and early-spring seasons.
SoilModelManager can also be used to estimate soil resistivity variations in warm regions, where soil resistivity may show strong seasonal variations due to changing soil moisture content between the dry and wet seasons.