The Experts below are selected from a list of 99 Experts worldwide ranked by ideXlab platform

R Shekhar - One of the best experts on this subject based on the ideXlab platform.

  • open volumetric air receiver based solar convective aluminum heat treatment Furnace system
    Energy Procedia, 2015
    Co-Authors: Deepesh Patidar, S Tiwari, P Sharma, Laltu Chandra, R Shekhar
    Abstract:

    Abstract The current heat treatment processes make use of electricity or fuel for generating heat. Solar energy is available in abundance in the states of Rajasthan and Gujarat in India. Annual global solar radiation of about ≥2400 kWh/m2 is received in these regions. Use of the abundant solar thermal energy in heat treatment of metals would saveenergy and fuels. In view of this a concept of solar convective Furnace system is described in this paper. As a starting point, heat treatment of aluminium is considered. For this system, requirements of Industrial Furnace are taken as basis.A scale-down retrofitted Furnace is designed and analysed.The importance of different process stages like, solar thermal energy absorption, storage and utilization in design of such a system is presented.A thermodynamic analysis is performed to derive requirements for the achievement of a uniform heating at a pre-determined rate. Control strategy to meet the requirements is worked out. Air flow profile in the Furnace is analyzed using CFD as a tool. Laser Doppler Velocimetery technique is used for measurement of velocity in a Plexiglas model of the scale-down Furnace. Flow analysis using theadopted CFD tool shows non uniformities in air flow profile. To counter this, further modifications and improvements in the Furnace structure are suggested. Evaluation of Open Volumetric Air Receiver (OVAR) using installed solar air tower simulation facility is also presented in the paper.

Leonardo Tognotti - One of the best experts on this subject based on the ideXlab platform.

  • numerical investigation of oxy natural gas combustion in a semi Industrial Furnace validation of cfd sub models
    Fuel, 2013
    Co-Authors: Chiara Galletti, Giovanni Coraggio, Leonardo Tognotti
    Abstract:

    Abstract The modeling through computational fluid dynamics of oxy-natural-gas combustion experimental tests in a 3 MW semi-Industrial Furnace equipped with a low NOx burner is discussed. Since the complex geometry of the burner and the size of the Furnace, a modeling strategy has been adopted to diminish the computational time and thus to make the simulations affordable. The model aims at validating different sub-models (e.g. combustion/kinetics, radiation/spectral) for oxy-natural-gas fired conditions through the comparison of predictions and in-flame measurements of temperature and chemical species. It is found that fast chemistry approaches are unable to predict the temperature field. The spectral model was also found to play a fundamental role for the correct analysis of such scale devices. Uncertainties in experimental and modeling results are discussed and compared.

Hasan Mehrjerdi - One of the best experts on this subject based on the ideXlab platform.

  • risk constrained scheduling of solar stirling engine based Industrial continuous heat treatment Furnace
    Applied Thermal Engineering, 2018
    Co-Authors: Farkhondeh Jabari, Sayyad Nojavan, Behnam Mohammadiivatloo, Hadi Ghaebi, Hasan Mehrjerdi
    Abstract:

    Abstract This paper presents a novel framework for designing and optimal scheduling of an air source heat pump based Industrial continuous heat treatment Furnace (ICHTF) which is driven by a solar Stirling engine and a wind turbine. The proposed flame-making process equipped with two inside and outside fans, an expansion valve, compressor, condenser and an evaporator to supply the heating demand with the high-temperature more than 900 K over a 24-h time interval. Use of solar, wind and the proposed heating cycle in an Industrial Furnace with no need to fossil fuels reduce the greenhouse gas emissions and increase the economic saving in the consumption of petroleum products, significantly. Moreover, an information gap decision theory (IGDT) is implemented in order to find the optimal scheduling strategies taking into account the heating demand uncertainty. The IGDT technique assesses the robustness and opportunistic aspects of the optimal scheduling scenarios in the presence of heating load uncertainty to make the risk-averse or risk-taker decisions, respectively. The proposed ICHTF is simulated as a nonlinear programming (NLP) problem on a benchmark small-scale Industrial sector to minimize total energy procurement cost considering the operational constraints of Stirling cycle and air source heat pump. Simulation results confirm that the risk-aversion or risk-taking decisions affect the output mechanical power of Stirling engine and total electrical power purchased from the upstream grid.

Weijie Li - One of the best experts on this subject based on the ideXlab platform.

  • mild combustion of natural gas using low preheating temperature air in an Industrial Furnace
    Fuel Processing Technology, 2017
    Co-Authors: Yaojie Tu, Kai Su, Zean Wang, Chuguang Zheng, Weijie Li
    Abstract:

    Abstract Moderate or intense low oxygen dilution (MILD) combustion is a promising strategy for reducing pollutant emissions and enhancing thermal efficiency. For Industrial scale Furnaces, the MILD combustion characteristics using lowly preheated air still needs further investigation. In this paper, an experimental study is presented on natural gas MILD combustion in a 0.3 MW Industrial Furnace using low temperature air (130 °C). First, the performances of MILD combustion burner are evaluated with comparison to conventional burner in terms of flow dynamics, temperature distribution and species formation. Subsequently, the transition process during the switching operation from conventional combustion to MILD combustion is examined, regarding the final emission as well as the Furnace wall temperature variation. In addition, the impacts of switching temperature on the stability of the transition process are analyzed. The results show that, the present burner succeeds in establishing MILD combustion using low temperature air (130 °C) even with a swirling fuel nozzle, resulting in quite uniform temperature distribution and over 80% reduction of NO emission as compared to conventional combustion. However, the lowly preheated air suppresses the combustion rate in the upstream Furnace, leading to a backward movement of the high temperature reacting region under MILD operation. Nevertheless, the average Furnace temperature is improved as compared to conventional combustion. More importantly, higher switching temperature is helpful for stabilizing the transition process with easier established MILD combustion mode as well as reducing CO emission during transition process.

Deepesh Patidar - One of the best experts on this subject based on the ideXlab platform.

  • open volumetric air receiver based solar convective aluminum heat treatment Furnace system
    Energy Procedia, 2015
    Co-Authors: Deepesh Patidar, S Tiwari, P Sharma, Laltu Chandra, R Shekhar
    Abstract:

    Abstract The current heat treatment processes make use of electricity or fuel for generating heat. Solar energy is available in abundance in the states of Rajasthan and Gujarat in India. Annual global solar radiation of about ≥2400 kWh/m2 is received in these regions. Use of the abundant solar thermal energy in heat treatment of metals would saveenergy and fuels. In view of this a concept of solar convective Furnace system is described in this paper. As a starting point, heat treatment of aluminium is considered. For this system, requirements of Industrial Furnace are taken as basis.A scale-down retrofitted Furnace is designed and analysed.The importance of different process stages like, solar thermal energy absorption, storage and utilization in design of such a system is presented.A thermodynamic analysis is performed to derive requirements for the achievement of a uniform heating at a pre-determined rate. Control strategy to meet the requirements is worked out. Air flow profile in the Furnace is analyzed using CFD as a tool. Laser Doppler Velocimetery technique is used for measurement of velocity in a Plexiglas model of the scale-down Furnace. Flow analysis using theadopted CFD tool shows non uniformities in air flow profile. To counter this, further modifications and improvements in the Furnace structure are suggested. Evaluation of Open Volumetric Air Receiver (OVAR) using installed solar air tower simulation facility is also presented in the paper.