Renewable Energy sources monitoring: Part 11
This is the continuation of the previous article. For better understanding it is recommended to look through the earlier blog posts.
The comparative analysis of different GIS is an essential part of defining proper functional parameters and requirements needed for creating a renewable energy monitoring system. A brief overview of existing GIS and their comparative analysis allow determining the following requirements list:
As it has been mentioned above the NASA SSE datasets prove to be sufficiently accurate and satisfy all the requirements. But still, all the GIS have their own weather stations (or at least data of field actinometrical measurements) to verify the NASA data. Thus, it is strongly recommended to obtain local weather data along with using open source information.
Data visualization and shape files
It has been mentioned that certain GIS provide their own shape files to be later used in other visualization platforms. In this case the data on local renewable energy sources is an independent platform and allows the information to be later used for further researches. As the renewable energy monitoring system is used both for public and professional usage it is necessary to provide raster data for public (for easier access) and vector data for developers and researchers (for more accurate calculations).
The problem of inexplicit map categorization has been revealed as it is quite possible for user to be confused. Consequently, the maps are to be explicitly divided by quality and by energy types (as on the NREL website).
It is also possible to claim that for regions with high renewable energy potential the problem of energy monitoring is considered as an essential part of further development. In case of lack of field measurements the idea of using open source along with field actinometrical measurements on the certain (or existing) sites seems to be efficient from the point of view of accuracy and costs. In this case, the renewable energy monitoring systems may be considered as the strong foundation for alter development of alternative energy in the regions with high potential and high energy demands.
The problems of geographical data visualization and data distribution have been reviewed earlier in the previous posts.
The main objective of the work is to create a prototype of system that allows choosing the renewable energy site, its platform and economic potential; evaluating risks; evaluating ecological impact caused by transition to the chosen source; evaluating a possibility of transition to the intellectual storing, consumption and distribution system. The mian layers of the system are Geoinformational; Energy sources; Energy Consumers; Resources; Energy producing technology; Energy storing technology; Ecological state and risks, harm; Economic potential; Juridical estimation, Data protection.
The implementation is composed of two parts - software and hardware.
The software part is composed of data gathering, storing and processing tools (the data is collected form heterogeneous sources including information obtained from mobile station based Arduino microcontroller). The application is a typical MVC (model-view-controller) GIS functionality of which is provided by existing maps.
The data from the existing sources is to be verified by the the dataset obtained from the local mobile weather station.
To be continued.