Perform GIS-powered analysis to assess pre-identified sites or identify new sites for developing renewables or gas / LNG projects utilizing geospatial and spatio-temporal data
Make smarter and risk-free decisions
Making right decision about sites is arguably the single most important factor in determining the profitability of an infrastructure project. In the case of energy projects, it impacts the overall cost of energy that the project will produce and in turn, its affordability by consumers and off-takers.
Identifying sites for infrastructure projects require interplay of multiple factors such as environmental, social, technical and economical to index various locations before a few of them could be considered feasible for further investigations. Our upcoming tool on Optimum Site Selection is aimed at supporting development decisions by offering a comprehensive Multi Criteria Evaluation (MCE) integrated with GIS-powered infrastructure mapping to identify or assess feasible project zones.
The MCE-based tool will consider wind or solar resources availability and variability, terrain complexity, grid connectivity and proximity, topography including elevations, land usage and cover, off-takers among other factors. We believe that such an integrated GIS-based tool will offer a complete perspective to stakeholders in performing project feasibility assessment keeping costs and risks at bay, thereby leading to the development path of a successful project.
Resource Mapping & Modeling
Even before a wind or solar project is conceptualized, it is imperative to establish where the resources exist, what is their availability and variability at a site. Such a measurement help developers estimate the amount of electricity that can be generated at a site. However, lack of such data along with information on geographic concentration of existing infrastructure can seriously prove to be detrimental to the overall feasibility of a project resulting in badly planned sites. Not only this, it would also negatively affect funding efforts as risks and uncertainties increase.
In response to the need for reliable data on resources for global locations, we are developing continuous weather information by applying advanced modelling techniques including Numerical Weather Prediction (NWP). The modelling is being carried out over multi-year time periods to support renewable energy assessment, mapping, and geospatial planning. The modeled outputs are validated against ground weather station observations to provide higher degree of accuracy.