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IES - Version IVN -Local Energy Decarbonisation
Incorporate detailed building energy demand data into feasibility studies of local energy schemes. Energy Network Feasibility Studies Powered by Accurate Building Demand Data. Quickly and easily assess local energy decarbonisation options for any new or existing developments. Integrate electricity, heat, cooling, and water networks, alongside real or simulated building energy demand data, for improved model accuracy.
- Heat, Cooling and Power
- Quick Results
- Integrated Energy Reporting
- Accurate Building Energy Data
- District Heating Feasibility
- Compare Scenarios
iVN Modules
iVN is comprised of 3 modules that enable comprehensive assessments of different heat, cooling and power network scenarios, including energy balancing and decarbonisation feasibility studies.
iVN Core
- Virtually test different energy network scenarios using holistic energy flow modelling across supply, demand and network infrastructure, including buildings.
- Simulate building energy demand within iVN using IES Apache engine
- Test different networked heating, cooling and power scenarios
- Analyse energy supply and demand between different buildings
- Undertake energy balancing and network aggregation
- Integrate renewable assets such as PV arrays, wind turbines, and heat pumps
- Assess impact of electric vehicle uptake and infrastructure
- Current and future weather file options
District heat network modelling for assessing the feasibility of prospective heat networks, and identifying if underlying infrastructure needs to be changed or upgraded.
- Check and validate heat network options from an infrastructure point of view
- Model both thermal and hydraulic behaviour
- Deliver a network that reduces losses and increases efficiency
Our built-in optimisation engine utilises smart algorithms to automatically find the best performing configuration based on your chosen key parameters; such as minimising electricity imports from the grid.
- Automated assessment of different asset attributes
- Highlights the optimal configuration
- Can reduce days of work to hours, on large projects
- User set attributes ensure the solution is viable and realistic for every project
