This is an application that is used to quantify a building or a locality in its model form. Systems modeling software has enabled both the building and energy sectors to flourish since before a real structure is constructed of put in place, one can play around with its size and features while looking at the various variables that change with it. There are however two main factors that are emphasized with this kind of application, these are its cost and energy requirements.

When resizing a region, the contract or the company charged with this mandate has the sole responsibility to find out what weather conditions a place has to offer. Most of the companies related with harnessing solar energy obtain data revealing information of a locality on the amount of solar energy one can harvest, how much they can spend and the amount they can save. The energy budget is thus this important.

It is proven that amount of incident solar radiations differ from one place to another. Its intensity also differs then. As one moves from a lake region deep to the main land the solar intensity changes drastically. Around the lake the radiation is extremely high with a lot of heat energy as compared to that of a mainland. Therefore this differing rates of solar energy as one moves from one place to another dictates that after a model has been properly demonstrated.

During this modeling also, the life span of solar batteries must be put to consideration. The performances of such batteries are affected by environmental factors ranging from temperatures to its own internally build factors such as it charging plus discharging properties among the battery features. In order to check on the operation and performance of this batteries and there life span, all this factors must be considered.

One other important feature to put in place during this process is the self degradation property of the structure. The performance of a battery and even a solar panel will never be the same as when it was still new. For a reliable and long lasting functioning of this feature, this variation must be clearly explained and accounted for.

On finding the amount of solar energy this solar panel structure can harness in a specific locality, it should be put up in that region and coded in such a way that it produces the same energy as specified. It should be programmed so as to enable it generate the same power even on a cloudy day. This way its users are not affected on such extreme weather days.

Apart from designing it to cope with unexpected weather conditions, such structures should be able to with stand longer duration of such unfavorable weather conditions. Even though this coping mechanism can result in damaging or malfunctioning of the battery, it must at all times serve its purpose.

In its applications in solar energy harnessing, systems modeling software has brought a lot of changes. Weather in bad or good weather relative to the operating conditions of a solar panel one can find energy for lighting and other applications. Sizing and modeling has now been made easier thanks to this application.