3DMicroGrid is on the design, development and demonstration of a future-proof active smart micro-grid system to integrate and optimize multiple small to medium sized energy sources and loads. The overarching objective is to capitalize on the availability of local and large renewable energy resources and adapting them for solutions to sustainability in terms of electric power demand and supply. A demo smart micro-grid system will be built integrating all energy components, in an effort to (i) maximize renewable energy utilization, (ii) reduce the carbon footprint by minimizing consumption, (iii) improve the power quality while ensuring economic feasibility, and (iv) replicate similar setups to institutions and commercial and rural sites.
3DMicroGrid undertakes a detailed campus assessment of existing energy scenarios, including: energy consumption; diesel consumption and generation efficiency; loads and their classification; consumption patterns such as human presence and behavior; power quality with respect to grid power, switching between various distributed power sources, and techno-commercial assessment.
3DMicroGrid will also assess other studies related to the establishment and justification of a smart micro-grid while utilizing various equipment, sensors, meters, hardware, and software for measuring, monitoring and analyzing the required data to undertake the study. Different power saving strategies will be envisaged, including load/demand forecasting; renewable energy generation forecasting, integration with weather sensors; utility grid’s power outage pattern identification; prioritizing loads and exercising the option of demand response; identifying the appropriate distributed generator to turn-on; and exercising the option of storage technology utilization of appropriate size. It is expected that the 3DMicroGrid will provide distinct benefits like energy savings, frequency support, and demand side management.
GeoSYS involvement is in creating a 3D BIM model of the MCAST campus, integrating to building management systems to present key performance indicators in real time.
“GIS extends the value of digital Building Information Modeling (BIM) design data through visualization and analysis of structures in the context of the natural and built environment. The integration of BIM and GIS enables deeper insight for better decision making, communication, and understanding.”
Don Kuhene, ArcGIS Blog, Sept. ‘16