Framework for a UAS-based assessment of energy performance of buildings

Benz, Alexander; Taraben, Jakob; Debus, Paul; Habte, Bedilu; Oppermann, Luise; Hallermann, Norman; Voelker, Conrad; Rodehorst, Volker; Morgenthal, Guido

doi:10.1016/j.enbuild.2021.111266

Cited by 21 publications

(5 citation statements)

References 25 publications

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“…The design norm [10] defines the adjusted thermal resistance as the value that considers the weak thermal areas in the structure of the examined component. The formula applied for the calculation of R was adapted following the expressions indicated in [6][7]11] as follows:…”

Section: Application Of the Thermog Methodologymentioning

confidence: 99%

Infrared thermography application for in-situ determination of the building envelope thermal performance

Moga,

Șoimoșan

et al. 2023

J. Phys.: Conf. Ser.

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During the phase of creating energy audit documentation, many calculations are needed when evaluating the thermal performance of building envelope components due to a large number of distinct components and junctions. Several computer programs are available to assess buildings’ energy consumption, using the thermal performance of building envelope elements as input data. These thermal performances are often provided with varying degrees of accuracy, typically only for the current field of the component, without considering the impact of thermal bridges. However, when using linear heat transfer coefficients ψ, the details provided in thermal bridges’ atlases do not cover all the case studies encountered in the current design, which often requires approximate details. In some cases, the technical documentation of the building is unavailable, which leads to various assumptions about the detailing of the building envelope and a non-realistic picture of the energy performance of the assessed building. The paper presents a methodology and accompanying software called THERMOG that evaluates the thermal performance of the building envelope under actual operating conditions using aerial and terrestrial thermography methods. The paper presents initial findings from some case studies used to calibrate the developed methodology.

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Section: Application Of the Thermog Methodologymentioning

confidence: 99%

Infrared thermography application for in-situ determination of the building envelope thermal performance

Moga,

Șoimoșan

et al. 2023

J. Phys.: Conf. Ser.

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“…Nevertheless, the modeling process was conducted semi-automatically to integrate material information. Benz et al introduced a framework for assessing energy performances of existing buildings based on an Unmanned Aircraft System (UAS) (Benz et al 2021). Besides their photogrammetric 3D reconstruction, they included thermographic images to detect the U-Values and performed energy simulations using TRNSYS translating the surface model to IDF.…”

Section: Background and Related Workmentioning

confidence: 99%

LCA Calculation of Retrofitting Scenarios Using Geometric Model Reconstruction and Semantic Enrichment of Point Clouds and Images

Forth,

Noichl,

Borrmann

2024

Computing in Civil Engineering 2023

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To achieve global climate goals, a greater focus needs to be on the energy-efficient conversion of the existing building stock in industrialized countries. To prioritize the retrofitting scenarios of large stocks of existing buildings, holistic life cycle assessments (LCA) help to consider the environmental impacts in the decision-making. To enable the effortless creation of large building stock information, we propose a methodology to automatically create semantically rich 3D models for calculating the LCA of retrofitting variants. Robustness is achieved by providing flexibility towards input data, e.g., geometric reconstruction based on different point clouds, such as laser scans, drone-based photogrammetry, or derived from Google Maps. Similarly, various image sources are used for the semantic enrichment of windows, such as from hand-held devices or Google Street View. Using a case study, we compare the performance of the geometric reconstruction, test window detection, and calculate first LCA results.

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“…Similar framework developed for automatized inspections of bridges, allowing to generate safe flight paths can be found in the work by Morgenthal [6]. This framework was practically utilized for inspecting building envelopes by Benz [7] who performed a case study to automatically generate flight paths for obtaining infrared images and subsequent thermal conductance value determination of the building envelope. Note that flight path in this case needed to be manually adjusted to avoid collision with nearby obstacles (e.g.…”

Section: Planning Of Uav Based Inspections Of Building Envelopementioning

confidence: 99%

Towards an automatized and objective assessment of data from visual inspections of building envelopes

Mandinec

Johansson

2022

APP

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The renovation planning process is filled with uncertainties and subjective decisions. These make the decisions upon what and when to renovate a complex and ambiguous problem. Selection of renovation measures related to building envelope are often far from optimal as decisions are usually made based on visual inspections. These are manned and thus prone to subjective assessment and the knowhow of individual inspectors. Furthermore, objective criteria which could indicate non-structural failures are often missing. The objective based planning process allowing the estimation of the current damage status of the building envelope by only using non-destructive measurements is still in its infancy. The first step requires establishing reliable and objective based data collection. These could be efficiently collected by Unmanned Aerial Vehicles (UAV) with subsequent image recognition algorithms allowing the identification of imperfections and store the position and extent of such deviations into the building’s digital assessment database. Such tools do not exist. The aim of this study is to investigate the current objectivization possibilities in the domain of building inspections. The first part provides a literature review describing how an autonomous UAV survey of a building envelope may be planned and what computer vision techniques may be used for automatic damage recognition and classification. Subsequently, an objective detection model based on the YOLO-tiny (You Only Look Once) computer vision framework is employed in a case study investigating a building envelope of historical Tjolöholm castle in Sweden. This study contributes to developing a methodology for an objective based visual inspection process.

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Framework for a UAS-based assessment of energy performance of buildings

Cited by 21 publications

References 25 publications

Infrared thermography application for in-situ determination of the building envelope thermal performance

Infrared thermography application for in-situ determination of the building envelope thermal performance

LCA Calculation of Retrofitting Scenarios Using Geometric Model Reconstruction and Semantic Enrichment of Point Clouds and Images

Towards an automatized and objective assessment of data from visual inspections of building envelopes

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