Can plagiarism detectors detect content from small websites ? Let's try:
Estimating head may seem the easier task between the two mentioned before. Grossly, the head of a chute is generally calculated using a DEM. There are actually two types of models: simpler ones simply try to find the biggest head by finding the biggest terrain slope, which can be done by scanning a DEM along the river course. More advanced models can actually be a bit more clever: instead of having a moderately down slope between two long distant points, it’s better to have no slope at all for the majority of the distance and then a big slope at the end of it. That permits of putting only a big dam, instead of many little ones. The disadvantage of this solution is that the river’s bed is then modified, which creates environmental situations that may be bad for the local ecosystem. The actual problem that could arise with a model applied to the whole world is that, as calculating the head needs a DEM, DEMs not always cover the whole world. There are actually two main DEM that cover the majority of the world: Shuttle Radar Topography Mission (SRTM) an Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). ASTER is more precise and covers all the land, but the drawback is that it is only possible to download ASTER in tiles, and this process is not automated.
Solar energy may be great, but it doesn’t produce during the night. Hydro, on the other hand, produces at a more constant rate, but it is not available everywhere (you have to find a good spot). As of 2015, Small HydroPower (SHP) represented only 3% of the electricity generated in the E.U.. But in France for example, there is still an unused hydroelectricity energy potential (excluding protected rivers) of 3 TW . Multiple actors would want to install more SHP. For example, a small local cooperative (like french electric cooperative Enercoop) could want to install a small hydroelectric plant in their surroundings (in the same region for example) ; but the problem is then to find which is the best spot (in economical and technical terms) where to install the plant. Moreover, less developed countries have a greater need for (cheaper and cleaner) electricity. Some local communities don’t have the exact knowledge where to install a plant (maybe it’s best for a small local community to build the plant 5 km away if the plant can produce significantly more there). This spot finding process could be done manually, either by surveying the local rivers or by using GIS tools, like . Our goal is to be able to build a model which could calculate itself (using some input data) the spots along the river where the construction of an SHP plant would have the most economic sense. Also, as many people are not tech-minded, the model must be shown in a simple and understandable way. As the web is omnipresent nowadays, we will choose the show this model as a web application usable by everybody.