Browsing by Keyword "Steel industry"
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Item Design of a Radiant Heat Capturing Device for Steel Mills(2021) López Pérez, Susana; Herrero López, Saioa; Ubieta Astigarraga, Eduardo; del Hoyo Arce, Itzal; Gómez de Arteche Botas, Mercedes; Iturralde Iñarga, Jon; Fernández de Arroiabe Txapartegi, Peru; Bou-Ali, M. Mounir; Unamuno Iriondo, Iñigo; Tecnalia Research & Innovation; SISTEMAS TÉRMICOS EFICIENTESThis paper approaches the energy transition towards decarbonization and lower primary energy use in the steel and glass industries through the exploitation of radiant waste heat. In contrast with exhaust gases heat recovery, radiant waste heat has typically not been used. This energy waste is found in energy intensive processes in which high temperatures are reached. For instance, in the steel making process, the cast steel is red hot and emits a considerable amount of radiant energy. In this paper the conceptual design of a radiant heat capturing device is presented. This device enables the recovery of currently unused energy while solving the radiative emission-related problems. The achieved design gets to an optimized solution regarding view factors and optical properties of the involved surfaces. In this research work, those factors are optimized to maximize the amount of heat recovered by the presented device. Simulation tools are used to test different designs and define the most appropriate solution for a given case.Item Performance evaluation of an ORC unit integrated to a waste heat recovery system in a steel mill(2017-09) Ramirez, M.; Epelde, M.; de Arteche, M. Gomez; Panizza, A.; Hammerschmid, A.; Baresi, M.; Monti, N.; Tecnalia Research & Innovation; SISTEMAS TÉRMICOS EFICIENTESWaste heat revalorization creates interesting opportunities to energy intensive industries. In the present project, a large-scale ORC pilot plant along with a waste heat recovery unit (WHRU) in a steel mill has been designed, commissioned and operated. The plant is part of the European Commission funded PITAGORAS project and it has been installed at ORI MARTIN in Brescia (Italy). Waste heat is recovered from the fumes of the Electric Arc Furnace (EAF) to produce saturated steam which is then delivered to a district heating (DH) network during heating season and to the ORC for electricity generation during the rest of the year. The main challenge was the integration of these systems in a single plant since the heat source is highly unstable and steady heat load is preferable for the DH and ORC for their safe operation. A steam accumulator of 150m3 volume was implemented between the WHRU and the ORC/DH systems to maintain a steady discharge pressure, to reduce the fast transients and to extend the supply over longer periods. The ORC has a nominal power output of 1,8MW and the preliminary results of the first weeks of operation of the ORC unit resulted in a net efficiency of 21.7%. Currently the plant is undergoing monitoring campaign which will provide additional data to further evaluate and optimize the system.Item A Probabilistic Model and Capturing Device for Remote Simultaneous Estimation of Spectral Emissivity and Temperature of Hot Emissive Materials(2021) Picon, Artzai; Alvarez-Gila, Aitor; Arteche, Jose Antonio; Lopez, Gabriel A.; Vicente, Asier; Tecnalia Research & Innovation; COMPUTER_VISION; VISUALEstimating the temperature of hot emissive samples (e.g. liquid slag) in the context of harsh industrial environments such as steelmaking plants is a crucial yet challenging task, which is typically addressed by means of methods that require physical contact. Current remote methods require information on the emissivity of the sample. However, the spectral emissivity is dependent on the sample composition and temperature itself, and it is hardly measurable unless under controlled laboratory procedures. In this work, we present a portable device and associated probabilistic model that can simultaneously produce quasi real-time estimates for temperature and spectral emissivity of hot samples in the [0.2, 12.0μm ] range at distances of up to 20m . The model is robust against variable atmospheric conditions, and the device is presented together with a quick calibration procedure that allows for in field deployment in rough industrial environments, thus enabling in line measurements. We validate the temperature and emissivity estimates by our device against laboratory equipment under controlled conditions in the [550, 850∘C ] temperature range for two solid samples with well characterized spectral emissivity’s: alumina ( α−Al2O3 ) and hexagonal boron nitride ( h−BN ). The analysis of the results yields Root Mean Squared Errors of 32.3∘C and 5.7∘C respectively, and well correlated spectral emissivity’s.