Now showing 1 - 10 of 5512
  • Publication
    Long-term prediction of the effects of climate change on indoor climate and air quality
    ( 2024-02-15)
    Zhao, Jiangyue
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    Shaw, David
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    Carslaw, Nicola
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    Limiting the negative impact of climate change on nature and humans is one of the most pressing issues of the 21st century. Meanwhile, people in modern society spend most of the day indoors. It is therefore surprising that comparatively little attention has been paid to indoor human exposure in relation to climate change. Heat action plans have now been designed in many regions to protect people from thermal stress in their private homes and in public buildings. However, in order to be able to plan effectively for the future, reliable information is required about the long-term effects of climate change on indoor air quality and climate. The Indoor Air Quality Climate Change (IAQCC) model is an expediant tool for estimating the influence of climate change on indoor air quality. The model follows a holistic approach in which building physics, emissions, chemical reactions, mold growth and exposure are combined with the fundamental parameters of temperature and humidity. The features of the model have already been presented in an earlier publication, and it is now used for the expected climatic conditions in Central Europe, taking into account various shared socioeconomic pathway (SSP) scenarios up to the year 2100. For the test house examined in this study, the concentrations of pollutants in the indoor air will continue to rise. At the same time, the risk of mold growth also increases (the mold index rose from 0 to 4 in the worst case for very sensitive material). The biggest problem, however, is protection against heat and humidity. Massive structural improvements are needed here, including insulation, ventilation, and direct sun protection. Otherwise, the occupants will be exposed to increasing thermal discomfort, which can also lead to severe heat stress indoors.
  • Publication
    Switchable Heat Pipes for Eco-Friendly Battery Cooling in Electric Vehicles: A Life Cycle Assessment
    Battery thermal management systems (BTMSs) ensure that lithium-ion batteries (LIBs) in electric vehicles (EVs) are operated in an optimal temperature range to achieve high performance and reduce risks. A conventional BTMS operates either as an active system that uses forced air, water or immersion cooling, or as a complete passive system without any temperature control. Passive systems function without any active energy supply and are therefore economically and environmentally advantageous. However, today’s passive BTMSs have limited cooling performance, which additionally cannot be controlled. To overcome this issue, an innovative BTMS approach based on heat pipes with an integrated thermal switch, developed by the Fraunhofer Cluster of Excellence Programmable Materials (CPM), is presented in this paper. The suggested BTMS consists of switchable heat pipes which couple a passive fin-based cold plate with the battery cells. In cold state, the battery is insulated. If the switching temperature is reached, the heat pipes start working and conduct the battery heat to the cold plate where it is dissipated. The environmental benefits of this novel BTMS approach were then analysed with a Life Cycle Assessment (LCA). Here, a comparison is made between the suggested passive and an active BTMS. For the passive system, significantly lower environmental impacts were observed in nearly all impact categories assessed. It was identified as a technically promising and environmentally friendly approach for battery cooling in EVs of the compact class. Furthermore, the results show that passive BTMS in general are superior from an environmental point of view, due their energy self-sufficient nature
  • Publication
    Reaction kinetics during early hydration of calcined phyllosilicates in model cement systems
    ( 2024)
    Scherb, Sebastian
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    Köberl, Mathias
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    Beuntner, Nancy
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    Thienel, Karl-Christian
    Model cement systems form the basis for investigating the influence and behavior of three calcined phyllosilicates during early hydration. Metamuscovite acts as pure filler, accelerates alite hydration and leads to an increased degree of hydration of alite compared to the reference. A different picture emerges for metaillite and metakaolinite. They influence in addition the alite hydration which reaches at the onset of the aluminate clinker reaction as well as after 2 days of hydration significantly lower degrees of hydration. This indicates interaction of the negatively charged calcined clay surfaces with the sulfate from the pore solution. Chemical reactivity of the metaillite and metakaolinite during early hydration can be demonstrated by direct quantification as well as determination of portlandite consumption and C-S-H formation. This leads to a better understanding of the effect of individual calcined phyllosilicates and help to predict the influence of complex calcined clays on early hydration.
  • Publication
    Bringing light into the dark - Overview of environmental impacts of carbon fiber production and potential levers for reduction
    Carbon fibers (CFs) are a crucial material for lightweight structures with advanced mechanical performance. However, there is still a paucity of detailed understanding regarding the environmental impacts of production. Previously, mostly singled-out scenarios for CF production have been assessed, often based on scarce transparent inventory data. To expand the current knowledge and create a robust database for future evaluation, a life cycle assessment (LCA) was carried out. To this end, a detailed industry-approved LCI is published, which also proved plausible against the literature. Subsequently, based on a global scenario representing the market averages for precursor and CF production, the most relevant contributors to climate change (EF3.1 climate change, total) and the depletion of fossil energy carriers (EF3.1 resource use, fossil) were identified. The energy consumption in CF manufacturing was found to be responsible for 59% of the climate change and 48% of the fossil resource use. To enable a differentiated discussion of manufacturing locations and process energy consumption, 24 distinct scenarios were assessed. The findings demonstrate the significant dependence of the results on the scenarios’ boundary conditions: climate change ranges from 13.0 to 34.1 kg CO2 eq./kg CF and resource use from 262.3 to 497.9 MJ/kg CF. Through the investigated scenarios, the relevant reduction potentials were identified. The presented results help close an existing data gap for high-quality, regionalized, and technology-specific LCA results for the production of CF.
  • Publication
    Sensor-based characterization of construction and demolition waste at high occupancy densities using synthetic training data and deep learning
    Sensor-based monitoring of construction and demolition waste (CDW) streams plays an important role in recycling (RC). Extracted knowledge about the composition of a material stream helps identifying RC paths, optimizing processing plants and form the basis for sorting. To enable economical use, it is necessary to ensure robust detection of individual objects even with high material throughput. Conventional algorithms struggle with resulting high occupancy densities and object overlap, making deep learning object detection methods more promising. In this study, different deep learning architectures for object detection (Region-based CNN/Region-based Convolutional Neural Network (Faster R-CNN), You only look once (YOLOv3), Single Shot MultiBox Detector (SSD)) are investigated with respect to their suitability for CDW characterization. A mixture of brick and sand-lime brick is considered as an exemplary waste stream. Particular attention is paid to detection performance with increasing occupancy density and particle overlap. A method for the generation of synthetic training images is presented, which avoids time-consuming manual labelling. By testing the models trained on synthetic data on real images, the success of the method is demonstrated. Requirements for synthetic training data composition, potential improvements and simplifications of different architecture approaches are discussed based on the characteristic of the detection task. In addition, the required inference time of the presented models is investigated to ensure their suitability for use under real-time conditions.
  • Publication
    Predicting aerosol transmission in airplanes: Benefits of a joint approach using experiments and simulation
    We investigate the transmission of aerosol particles in an airplane cabin with a joint approach using experiments and simulation. Experiments were conducted in a realistic aircraft cabin with heated dummies acting as passengers. A Sheffield head with an aerosol generator was used to emulate an infected passenger and particle numbers were measured at different locations throughout the cabin to quantify the exposure of other passengers. The same setting was simulated with a computational fluid dynamics model consisting of a Lagrange continuous phase for capturing the air flow, coupled with a Lagrange suspended discrete phase to represent the aerosols. Virtual measurements were derived from the simulation and compared with the experiments. Our main results are: the experimental setup provides good measurements well suited for model validation, the simulation does correctly reproduce the fundamental mechanisms of aerosol dispersion and simulations can help to improve the understanding of aerosol transmission for example by visualizing particle distributions. Furthermore, with findings from the simulation it was possible to crucially improve the experimental setup, proving that feedback between the numerical and the hardware world is indeed beneficial.
  • Publication
    Investigation on the thermal budget and flow field of a manikin and comparison with human subject in different scenarios
    ( 2024)
    Sankaran, Abhilash
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    Hain, Rainer
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    Matheis, Christina
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    Fuchs, Thomas
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    Kähler, Christian J.
    The thermal plume from a human significantly influences indoor air flows, impacting the dispersion of air constituents and consequently affecting indoor air quality. This is also relevant in the transport of respiratory particles, which results in spread of respiratory diseases including COVID-19 caused by SARS-CoV-2. Our focus is on the sitting condition, a common scenario in various ventilated spaces. Prior human thermal plume studies employed predominantly anemometers to measure flow field which lack spatial resolution and detailed flow field. Here, Particle Image Velocimetry (PIV) is utilized to directly visualize and analyze the human thermal plume. No direct comparison of thermal manikin and real human subject is considered in previous studies. Such experiments were performed with a thermal manikin and comparisons were made with a real human. The results show that the thermal plume from manikin without breathing function and the real person have similarities including bi-lobe structure of the flow field. The integral fluxes like volumetric flux, momentum flux, buoyancy force flux, and enthalpy flux were determined and compared. The average volume flux of real person and the thermal manikin was found to be 153 m3/h and 125 m3/h, respectively. The momentum flux was 0.005 N for both the cases. The estimation of enthalpy flux revealed that radiative heat transfer dominates and less than 50 % of the total flux is convected in the human thermal plume. In addition, a zonal simulation model was created and the volumetric flux was determined by simulation and is compared to the measured values.
  • Publication
    Mikrobielles Leben auf Fassaden
    (Springer Nature, 2023-12-07) ;
    Gärtner, Georg
    Architekten, Bauingenieure, Bausachverständige und andere Fachleute sowie Bauherren, Wissenschaftler und Masterstudenten finden in diesem Buch alle Informationen zu Fassadenalgen und -pilzen. Es gibt einen detaillierten Überblick über die Mikroorganismen, die das anfängliche Wachstum an den Außenfassaden von Gebäuden bilden und befasst sich mit den ökophysiologischen Eigenschaften, die die Rahmenbedingungen charakterisieren, unter denen diese Mikroorganismen an Fassaden auftreten können. Neben einem Bestimmungsschlüssel für die charakteristischen Anflüge an Fassaden von Mikroorganismen enthält dieses Buch eine ausführliche Beschreibung der einzelnen Organismen unter Angabe ihres ökologischen Verbreitungsgebiets. Darüber hinaus werden die verschiedenen ökologischen Parameter in kurzen Kapiteln diskutiert. Auch Maßnahmen zur Vorbeugung und Bekämpfung der Besiedelung von Fassaden mit Mikroorganismen werden thematisiert.
  • Publication
    Entwicklung verschiedener Baumaterialien auf der Basis der Paludikultur Rohrkolben
    ( 2023-12-06) ;
    Theuerkorn, W.
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    Kraft, R.
    Ausgehend vom bereits in mehreren Gebäuden eingesetzten Typhaboard mit seinen zahlreichen umwelttechnischen und bauphysikalischen Vorteilen wurden inzwischen neue Baustoffe auf Basis von Rohrkolben entwickelt. Neben Magnesit als Bindemittel wurden mit Erfolg andere Kleber getestet, die ebenfalls nachhaltig sind und einer Kompostierung nicht im Wege stehen. Selbst unter Verwendung von Lehm können für Einsatzzwecke, die keiner besonderen Feuchtebelastung ausgesetzt sind, stabile und zugleich dämmende Platten hergestellt werden. Als Baustoff‐Neuentwicklung ist zum einen die Entwicklung eines Boards zur Aufdachdämmung zu nennen, das aufgrund einer speziellen Partikelgeometrie und ‐anordnung eine geringere Rohdichte und Wärmeleitfähigkeit besitzt. Des Weiteren wurde eine staubarme Schüttdämmung aus Rohrkolben und eine Art OSB‐Ersatz mit vergleichbaren Festigkeiten entwickelt sowie ein spezieller sehr schlanker Deckenaufbau aus Typha. Die Entwicklung eines hoch tragfähigen Holzersatzes ist ebenfalls in Arbeit.
  • Publication
    Application of slags for the production of resource‐efficient paving stones
    ( 2023-12-06)
    Shamshafshejani, Taban
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    In a recent research project under the lead of the Fraunhofer Institute for Building Physics IBP, gravel and sand within a mixture of paving stones were replaced with LD converter slag and blast furnace slag for 50 wt. % and 100 wt. % to produce resource‐efficient concrete components. For this purpose, first, the dry processing of the slags including metal separation and crushing was carried out. In the next step, the particle size distributions of slags using sieve analysis were determined. Finally, the mix designs were set based on the optimum combination of different size fractions of slags. This combination was determined in a way to lead to an almost identical grading curve as that of the original formulation. Splitting tensile strengths of the obtained samples were measured after 14 days of curing under a humidity of 95%. Several paving stone specimens containing slags showed higher splitting tensile strengths than that of the reference sample. Similar results were observed for industrially produced paving stones which demonstrates the successful transfer of the laboratory mixes to the industrial plant.