|START Conference Manager|
Building energy-efficiency is the first step toward achieving sustainability in buildings and infrastructures. Energy-efficiency helps control rising energy costs, reduce environmental footprints and increase the value and competitiveness. This issue, already important when dealing with private homes, becomes crucial for industrial facilities: a better management of the energy involved in the production activity leads to saving fixed production costs and eventually to a more competitive positioning in the market. Besides, buildings heat-loss and inefficient use of indoor heat cause a great waste of energy, with consequences also for people’s livelihood in terms of quality of the indoor thermal environment.
Following this approach, TASI (hyperspectral Thermal Airborne Spectrographic Imager at Long Wave Infrared) data were acquired over an industrial area in Rubí, the second largest industrial district in Catalonia (Spain), in the framework of the project Rubí Brilla.
In order to assess the thermal behaviour of a set of selected industrial premises, two TASI datasets were acquired over the whole municipality area on February 5th 2013, at 00am and 6am, which roughly correspond to the times when most of the product chains of the area are idle and resumed, respectively. The two retrieved thermal maps are compared on a pixel-by-pixel basis to detect changes in the roof temperature patterns related to heat-loss fluxes. Each building is labelled in terms of energetic efficiency according to its thermal dynamics and mapped on the INSTAMAPs web-application to be freely consulted by citizens, along with a technical report containing information about the heat-loss detection and roof efficiency segmentation.
Due to the simple morphology of the industrial buildings, the different roof segments can be appropriate for photovoltaic exploitation. Therefore, the industrial area was also surveyed with airborne LiDAR (> 4 points/m2) with the objective of having a detailed building and vegetation model. Using building and topographic models for shadow computation and meteorological information the global solar radiation was obtained. The building roofs were LoD2 modelled and a photovoltaic suitability was assigned to each roof segment, taking into account its real geometry. All the information is available online using a web-application showing performance and financial details for each roof segment.
Topic Area: [2.1] Urban and rural sustainability: Smart cities / Smart rural Abstract Type: Oral Presentation
Comments: energy efficiency, Hyperspectral TIR data, temperature patterns, hyperspectral emissivity.
START Conference Manager (V2.61.0 - Rev. 4195)