Paul Schwarzmayr

ORCID: 0000-0003-4735-3447
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About
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Research Areas
  • Phase Change Materials Research
  • Granular flow and fluidized beds
  • Heat and Mass Transfer in Porous Media
  • Adsorption and Cooling Systems
  • Fluid Dynamics Simulations and Interactions
  • Lattice Boltzmann Simulation Studies
  • Digital Transformation in Industry
  • Energy Efficiency and Management
  • Spacecraft and Cryogenic Technologies
  • Heat Transfer and Optimization
  • Advanced Control Systems Optimization
  • Additive Manufacturing and 3D Printing Technologies
  • Building Energy and Comfort Optimization
  • Physics and Engineering Research Articles
  • Process Optimization and Integration
  • Advanced Multi-Objective Optimization Algorithms
  • Flexible and Reconfigurable Manufacturing Systems
  • Technology Assessment and Management
  • Greenhouse Technology and Climate Control
  • Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Solar Thermal and Photovoltaic Systems

TU Wien
2020-2024

To enable the exploitation of industry sectors' huge waste heat potential this study investigates utilization packed bed thermal energy storage systems for recovery in iron and steel industry. The main goal is to assess partial cycle operation a with industrial exhaust gas that contaminated high amounts metal powder. A continuously rising accumulation powder particles inside requires be charged from bottom order facilitate removal hold-up. Therefore, investigations focus on dependency...

10.1016/j.apenergy.2024.122895 article EN cc-by Applied Energy 2024-02-21

The waste heat potential from industrial processes is huge and if it can be utilized may contribute significantly to the mitigation of climate change. A packed bed thermal energy storage system a low-cost technology that employed enable utilization processes. This used store excess release this when needed at later time. To ensure efficient operation its characteristics in standby mode need studied great detail. In present study, efficiency thermocline degradation lab-scale experimentally...

10.1016/j.apenergy.2023.120917 article EN cc-by Applied Energy 2023-03-02

Waste heat recovery in the energy intensive industry is one of most important measures for mitigation climate change. The present study examines integration a packed bed thermal storage waste iron and steel industry. Along with highly fluctuating availability excess main difficulty industrial processes high amount powder that transported by hot exhaust gases. Therefore, experimental investigations this focus on hold-up pressure drop operated gas-powder two phase gas as transfer fluid....

10.1016/j.est.2023.109735 article EN cc-by Journal of Energy Storage 2023-11-16

Digitalization and concepts such as digital twins (DT) are expected to have huge potential improve efficiency in industry, particular, the energy sector. Although number maturity of DT is increasing, there still no standardized framework available for implementation DTs industrial systems (IES). On one hand, most proposals focus on conceptual side components leave details unaddressed. Specific implementations, other rarely follow recognized reference architectures standards. Furthermore,...

10.3390/app12146981 article EN cc-by Applied Sciences 2022-07-10

Renewable-dominated power grids will require industry to run their processes in accordance with the availability of energy. At same time, digitalization introduces new possibilities leverage untapped optimization potential provide this flexibility. Mathematical methods such as mixed-integer linear programming (MILP) are widely used predict optimal operation plans for industrial systems. MILP models difficult adapt, but viability predicted relies on accurate underlying actual behavior. New...

10.1016/j.apenergy.2023.122192 article EN cc-by Applied Energy 2023-11-02

This work examines a high temperature latent heat storage system, which could find use in future concentrated solar power and other combined plants. In contrast to lab-based fully charged or totally discharged states, partial load states will be the principal operation real-world applications. Hence, closer look on effective rates are worthwhile for successful implementation of this type. A vertical finned shell tube exchanger pipe with combination transversal longitudinal fins is applied....

10.1016/j.apenergy.2020.115893 article EN cc-by Applied Energy 2020-10-12

The sandTES technology utilizes a fluidized bed counter current heat exchanger for thermal energy storage applications. Its main feature is an imposed horizontal flow of sand (SiO2) particles by vertical air across consisting several rows tubes. Past international research on transfer in dense beds has focused stationary (stirred tank) systems, and there little to no information available the impact longitudinal or helical fins. Previous pilot plant scale experiments at TU Wien led...

10.3390/en15041316 article EN cc-by Energies 2022-02-11

The reduction of waste heat in energy intensive industrial processes combination with digital technologies will play a key role for the development and decarbonization modern systems.In last few years, significant share CO 2 related to was emitted by industry sector.Since often are batch processes, recovery these requires thermal storage systems closing temporal gap between supply demand.The ongoing digitalization field enables applications like twins increase efficiency processes.This paper...

10.46855/energy-proceedings-9974 preprint EN 2022-08-06

Waste heat recovery in the energy intensive industry is one of most important measures for mitigation climate change. The utilization just a fraction theoretically available waste potential would lead to significant reduction primary consumption and hence greenhouse gas emissions. present study examines integration packed bed thermal storage iron steel industry. Along with highly fluctuating availability excess main difficulty industrial processes high amount powder that transported by hot...

10.48550/arxiv.2307.01585 preprint EN cc-by-nc-nd arXiv (Cornell University) 2023-01-01

For operation planning in industrial energy systems mixed integer linear programming (MILP) is the go-to method because of its reliability and huge advances MILP algorithms recent years.MILP especially well suited for use storage units, even if including non-linear operating behavior thermal storages still a big challenge -especially partial load cycles are considered.To model behavior, multi-variate function has to be linearized incorporated into model.The key good performance using as few...

10.52202/069564-0122 article EN 34th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2021) 2023-01-01

Abstract In the present study standby characteristics of a packed bed thermal energy storage are investigated experimentally and numerically. The results collected from experiments used for development model that will act as virtual entity in digital twin platform. A is sensible type capable storing excess heat several hours even days. this experimental data lab-scale test rig to make statements on during periods. addition, finite volume model-based parameter optimization. developed able...

10.1115/power2023-108578 article EN 2023-08-06

The waste heat potential from industrial processes is huge and if it can be utilized may contribute significantly to the mitigation of climate change. A packed bed thermal energy storage system a low-cost technology that employed enable utilization processes. This used store excess release this when needed at later time. To ensure efficient operation its characteristics in standby mode need studied great detail. In present study, efficiency thermocline degradation lab-scale experimentally...

10.48550/arxiv.2301.01071 preprint EN cc-by arXiv (Cornell University) 2023-01-01

For operation planning in industrial energy systems mixed integer linear programming (MILP) is the go-to method because of its reliability and significant advances area MILP solvers recent years. especially well suited for use storage units, even if including non-linear operating behavior thermal storages still a big challenge -- partial load cycles are considered. To model behavior, multi-variate function has to be linearized incorporated into model. The key good performance finding an...

10.2139/ssrn.4656763 preprint EN 2023-01-01
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