Intelligent Virtual Network (iVN)
The iVN suite allows local energy decarbonisation options to be quickly and easily assessed for any new or existing development. Integrate electricity, heat, cooling, and water networks with real or simulated building energy demand data. Then include electric vehicle charging infrastructure, renewable generation or district heating options.
Quick results
Virtually test energy network scenarios and integrate communities of buildings
Integrated energy balancing
Holistic energy flow assessment across supply, demand and network infrastructure
Accurate energy data
Ability to simulate building energy demand in tool using IES Apache engine
Climate responsive models
Physics based models with current and future weather file options.
District heating feasibility
Check and validate options from an infrastructure point of view
Auto compare scenarios
Built-in optimisation engine to find the best performing solution
IVN MODULES
iVN is delivered through a core software offering, with the option for users to purchase add-on modules depending on their needs.
iVN Core
Contains all of the central energy balancing and decarbonisation feasibility functionality of the product
- Energy Simulation- Integrated simulation of building energy demand data
- Renewable Modelling- Integrate assets such as PV arrays, wind turbines, and heat pumps
- Electric Vehicles- Assess impact of electric vehicle uptake and infrastructure
- Energy Balancing- Assess impact of electric vehicle uptake and infrastructure
iVN Heat
Contains the district heat network modelling engine for the feasibility assessment of prospective heat networks. Identifying if underlying infrastructure needs to be changed or upgraded.
- Design and size infrastructure
- Model both thermal and hydraulic behaviour
- Taking account of heat losses, mass flow rates and supply/return temperatures
- Design network to reduce losses and increase efficiency
iVN Optimise
Contains our optimisation engine which utilises smart algorithms to automatically find best performing configuration based on your chosen key parameters; such as minimising electricity imports from the grid.
- Automated assessment of different asset attributes
- Highlights without doubt the optimal configuration
- On large projects reduce days of work to hours
- User set attributes ensure solution is viable and realistic for their project