Masterplanning and Energy Network Modelling of the existing Galliera Hospital, the new proposed hospital building, and the surrounding district to support an ambitious energy efficient campus renovation project.
Utilising the latest virtual campus and energy network modelling techniques, this project focused on performance optimisation of the site at a Masterplanning level, and on the integration of renewable technologies into the Campus energy network system.
IES calculated the existing campus energy usage using a virtual model; at 19266.3 MWh/Yr the figures closely matched actual consumption figures.
Using the same model, IES was then able to predict a 5.57% (1073.6 MWh/Yr) energy reduction would be achieved through the proposed renovations.
The Galliera Hospital is located within Genoa’s downtown district. Surrounded by dense buildings the hospital is formed of multiple buildings, one a historic 19th Century building.
The ambitious energy efficient renovation of the Campus aims to hit the city-wide SEAP (Sustainable Energy Action Plan) target of reducing CO2 emissions by 23% in 10 years. It also fits with the city’s Green Digital Charter that encourages cities to roll-out ICT solutions that lead to energy efficiency.
IES created a Masterplanning model in the VE of both the campus, as it currently exists, and the planned Campus Renovation. The renovation encompassed a new energyefficient Hospital building and the renovation and change of use of four key buildings into residential properties.
EUI predictions for all buildings on the proposed renovated campus were virtually simulated using advanced calibration techniques, which utilised real-building operational data available from the existing site, BIM from the proposed design, and combined this with 3D performance modelling of the buildings. This project was the first hospital project in Italy to extensively apply the digital construction Building Information Modelling (BIM) approach.
One of the main aims of the campus renovation was to ensure that heating distribution could not only cover the new hospital building, but also local neighbourhood facilities. Using the simulated energy data from the Masterplanning model, and its iVN (Virtual Network Solution) solution, IES was able to model both the current and the proposed Campus Energy Network, encompassing the electricity, heat and cooling networks, and energy demand of all neighbourhood buildings.
The proposed configuration included new substations, a Distributed Energy Resources (DER) network at the new hospital, and a updated state of the art Tri-generation CHP in addition to the existing CHP.
The proposed DER at the new hospital includes photovoltaic panels for electricity, water solar panels to produce warm water, and energy riser systems to re-use the heating generated by technological and diagnostic medical machines.
By modelling the energy network in this way, IES proved that the electrical demand of the new substation could be fully met by electricity generated by the new CHP, and also by power station A, and that a portion of the heat demand of the new heat substation could be met by the new CHP.