Foto: Frontansicht des Einfamilien-Passivhauses in Pettenbach

HOTSPOTS - Holistic thermographic screening of urban physical objects at transient scales

HOTSPOTS enables new insights and perspectives for city development. According to the project idea innovations in acquisition and sensing as well as densification of geo-referenced city related data are supple­mented by novel processing chains in city data analytics. Driven by an integrated scientific approach we develop a novel method in the selec­tion, evaluation and prioritization of infrastructural city development measures which is directly derived from sensed data hence reducing the risk of ad-hoc decisions or lack in impact.

Short Description

Status

ongoing

Summary

Starting point / motivation

City-related data are stored fragmented at different data holders in different quality, captured at different time stamps and with varying spatial resolution. Thus, there is a lack of a common data base of consolidated and harmonized data sets. But is already all relevant information recorded and available? Energy efficiency is an important criterion of modern urban planning and optimization. Which data collection ensures that knowledge about the actual energy consumption, the user behavior and the causation are stored promptly and site-specific, in contrast to temporally / spatially blended recorded data?

Contents and goals

HOTSPOTS pursues the goal of providing tools and scientific methods to cities in order to capture the current condition of existing buildings in terms of energy efficiency and of providing a decision-making basis for improving this condition. As part of the planned project a continuous process chain will be developed and validated in the model city Gleisdorf, which aims to help cities in the future to identify, assess and accurately address optimization potentials. Future selection processes in the field of structural measures of urban development are to be made in a transparent and (measurable) data-driven basis, which reduces the risk of ad-hoc decisions or bad investments.

Methods

HOTSPOTS will be a methodically closed process chain, realized by overlapping project modules.

Within "3D THERMAL REGISTER", the data basis for the project is generated. The task is the region-wide collection of thermal data in the urban area. These single frames will be linked to a holistic city-wide data base and lifted into the third dimension by deriving 3D building models from the image data.

Within "FOCUS", "critical spots" will be identified from the 3D THERMAL REGISTER as well as from other external sources. Critical spots in the city define infrastructure cells at the district level, which have a particularly large potential for optimization. These critical spots are then analyzed in detail in the following project modules.

"DEEP DIVE" includes the selective expansion of the database within a selected infrastructure cell. This includes a mobile data acquisition (terrestrial, UAV), in particular capturing facades in addition to the aerial photography and the generation of "full 3D" models. Another research aspect will be the exploitation of selective acquisition and densification of the data in terms of a three-dimensional gas layer model.

Within "INSIGHT", a cell-wide but focused critical point analysis takes place. This is followed by the creation of an effective catalog of measures, including impact factors influencing the defined critical spots in the city, which have a particularly large potential for optimization.

Within "IMPROVE", a decision support tool will be developed for the interactive selection, localization of energy efficiency measures and the simulation of the resulting effects with the calculation of optimal combinations of measures for subspaces.

Expected results

The highlights of the project can be summarized as follows:

  • Metrological and data driven innovations
    • Region-wide thermography of Gleisdorf in 3D captured by a specially developed measuring unit
    • Acquisition and generation of a three-dimensional gas layer model
    • Use of air and captive balloons for data acquisition
    • Correction of measured thermal data by semantically interpreting the image content
    • Methodological access to the integration of thermal and statistical data
  • Semi-automatic update of the state data by additional flights and thus the possibility of monitoring the effects of energy efficiency and heating optimization measures with regard to the fulfillment of Smart City goals
  • Simulation of individual energy saving measures at different spatial scales
  • Identification of realistically implementable solutions for renewable and CO2 neutral implementation of renovation strategies
  • Development of specific implementation scenarios in terms of short-, medium-and longer-term action plans
  • Generation of methods and evaluation metrics which allow transferability of the findings to other small towns and districts

Project Partners

Project management

Siemens AG Österreich
DI Claudia Windisch

Project- or cooperation partners

Contact Address

Siemens AG Österreich
DI Claudia Windisch, Video Analytics
Straßganger Straße 315
A-8054 Graz
Tel.: +43 (0) 664 8011763607
E-Mail: Claudia.Windisch@siemens.com

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