Vesta
- Details
- Last Updated on Wednesday, 20 June 2012 09:54
Introduction
Vesta is a model that matches future projected demand for energy in the built environment to options for local and regional energy production.The primary focus for building this model was to assess impacts of different policies for local and regional energy production, such as wealth (re)distribution, CO2 emission, complicance and public finance.
The demand for energy is modelled geographically specific for: residential objects, business locations and greenhouses. Changes in the built environment are well taken into account by using the results of the Land Use Scanner. Not included are: industrial usage, roofless agriculture, and transportation.
Scope
Modelled energy supply options are:
Building specific:
- Consumption reduction: thermal insulation, installation efficiency
- Solar PV and Solar water heaters cells
- MicroCHP (Dutch: MicroWKK) for the local cogeneration of heat and electric power from gas.
- Electrical Heat Pump to turn buildings into inverted refrigerators.
Local:
- Waste heat (Dutch: restwarmte) for industrial and electrivity plants.
- Geothermal energy (Dutch: geothermie)
- Cogeneration, sublocal (Dutch: wijk WKK) for the local cogeneration of heat and electric power from gas
- Geothermal heat pump (Dutch: WKO)
Non local:
- Natural gas (Dutch: aardgas)
- Electricity
Vesta first applies user specified building specifiec options, then allocates regional supply options that have a positive yield. Non-local options are only considered as rest category.
The allocation is peformed with iterations for each supply option. If the yield for a supply option for a neighboorhoud is positive, the neighboorhoud is allocated to this option. The next iteraions only take into account the not yet allocated neighboorhouds. The preference sequence of the supply options can be varied.
Functionality
- Demand calculation and visualisation, now based on 6PPC data of dwellings and non-residential buildings, combined with estimated energy consumption figures for different building types and construction years;
- Adaptations for future demand based on:
- options for destruction, renovation and construction of buildings with input from land use change sceanario results of the Land Use Scanner (Dutch: RuimteScanner )
- energy saving options like thermal insulation;
- local energy production like solar collectors;
- cost calculations of supply options based on variable and investment costs;
- cost benefit analysis at neighboorhoud (4PPC) level;
- indicators for end-user & public costs and carbon dioxide emission on national level.
Technical aspects
- Vesta is implemented in the model definition language of the GeoDMS,
- It now uses GeoMarktProfiel data for localising residential energy usage (on a PC6 level) and LISA data for individual business locations; we are planning to replace these data sources by the Basisregister Adressen en Gebouwen (BAG), which could make Vesta with its Dutch data available under open source conditions (GNU GLP for the software + CC BY SA for the data); for now, the data cannot be distributed.