This project will build a stakeholder engagement tool visualising historic, current and future energy efficiency estimates at the level of individual buildings*. Researchers exploring and investigating policy options on possible future states of the built environment need a simple mechanism to visually analyse and compare outcomes of different scenarios of urban energy reduction policy.
This project will produce modelled estimates of building energy use for the period 1990-2050 for a sample geographic area in Cardiff, South Wales and provide a web based application that allows researchers, policy makers and other stakeholders the facility to explore varying spatio-temporal patterns of energy efficiency outcomes. We will also explore a novel usage of the Memento framework by enabling ‘time-travel’ both backwards (‘web-time’) and forwards (‘content-time’).
Further the work will provide insights into aspects of temporal modelling of the Ordnance Survey large scale geographic database, MasterMap. The latter will inform how adaptations to the JISC Digimap service might be best optimised to provide access to historic versions of this and similar resources.
Key deliverables:
- A database of building-level energy efficiency coefficients for 2000-2050 for a large sample area within South East Wales
- A database schema for exposing the model outputs via a WMS-T
- A WMS delivering the data visualisations
- A WMS-T allowing temporal navigation
- Tile Cached versions of the above allowing direct URI mapping to resources
- A Memento geo-Timegate and proxy allowing translation of Memento requests into WMS-T ones – Note: subsequently agreed to be outwith scope of project
- A Web Client (OpenLayers based) allowing user interaction and visualisation of the modelled outputs under variable input scenarios
- Potentially, demonstration of the outputs, visualised and temporally query-able in a Google Earth client
- User needs requirements/ problem and issue refinement.
* A decision was most early in the project that in order to provide a more meaningful representation of the energy variables Output Area would be the geographic unit of analysis.