Drying Operation

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Bidyut Baran Saha - One of the best experts on this subject based on the ideXlab platform.

  • thermal performance study of a multi pass solar air heating collector system for Drying of roselle hibiscus sabdariffa
    Renewable Energy, 2017
    Co-Authors: M. W. Kareem, Khairul Habib, Bidyut Baran Saha, Mohd Hafidz Ruslan
    Abstract:

    Abstract This article presents a study on the performance of a forced convective multi-pass solar air heating collector (MPSAHC) system assisted with granite as a sensible energy storing matrix. Experimental Drying of Roselle was carried out in August 2015 at Solar Energy Research Site of Universiti Teknologi PETRONAS, Malaysia (4.385693° N and 100.979203 S). The present investigation was conducted under the daily average relative humidity, solar irradiance, ambient temperature and wind speed of 64.5%, 635.49 Wm−2, 32.24 °C, and 0.81 ms−1, respectively. An average Drying rate of 33.57 g (kg m2 h)−1 was achieved while the system optical efficiency, collector efficiency, Drying efficiency and moisture pickup efficiency of 70.53%, 64.08%, 36.22% and 66.95% were obtained, respectively. MPSAHC dryer was 21 h faster with fair color retention when compared to open sun Drying approach (OSDA) that was conducted together under the same weather condition. Techno economic analysis reflected a payback period of 2.14 years. However, Drying efficiency could be improved if the inlet air humidity can be controlled to favor Drying Operation.

Mirela Planinić - One of the best experts on this subject based on the ideXlab platform.

  • Energy saving in spray Drying process
    2003
    Co-Authors: Darko Velić, Mate Bilić, Srećko Tomas, Mirela Planinić
    Abstract:

    In this work some possibilities to improve the conventional spray Drying process using programming in Excel as a calculation tool have been presented. The minimization of energy consumption during the Drying Operation can be achieved by recycling exhaust air. The maximum theoretical range of recirculation is 60%. The fuel oil saving rate depends linearly on the rate of recirculation, and the theoretical maximum fuel oil saving is approximately 14%. Ecological issues were also considered as well, since decreased fuel consumption lowers harmful gas emission to the environment.

  • Simulation, calculation and possibilities of energy saving in spray Drying process
    Applied Thermal Engineering, 2003
    Co-Authors: Darko Velić, Mate Bilić, Srećko Tomas, Mirela Planinić
    Abstract:

    In this work some possibilities to improve the conventional spray Drying process using programming in Excel as a calculation tool have been presented. The program gives a simple description of the Drying process using thermodynamic calculations of heat and mass balance. Using the program it is possible to reduce operating costs and to improve capacity per unit of Drying equipment. The minimization of energy consumption during the Drying Operation can be achieved by recycling exhaust air. The maximum theoretical range of recirculation is 60%. The fuel oil saving rate depends linearly on the rate of recirculation, and the theoretical maximum fuel oil saving is approximately 14%. Ecological issues were also considered as well, since decreased fuel consumption lowers harmful gas emission to the environment. All necessary data are represented in the process flow sheet, which is used for a better understanding of the Drying process optimisation.

Patrick Glouannec - One of the best experts on this subject based on the ideXlab platform.

  • Predictive control with multiobjective optimization: Application to a sludge Drying Operation
    Computers & Chemical Engineering, 2015
    Co-Authors: A. Fuentes, Jean Pierre Ploteau, Patrick Glouannec
    Abstract:

    Abstract The main objective of this study is to develop an offline tuning of the operating input parameters for a sludge Drying Operation, by using multiobjective optimization techniques combined with a predictive control method. The manipulated variables concerned are the temperature and the relative humidity of the Drying air ( T air , RH air ). The optimal time for the reversal Operation of the product is also investigated. The optimization procedure is coupled to a one-dimensional numerical model that allows the simulation of moisture content and temperature field evolutions in the product during the Drying step. A genetic algorithm is used to identify the two manipulated variables, at each step time, by minimizing simultaneously three objective functions over a finite horizon. These objective functions are linked to penalties concerning the heating and dehumidifying of the outside air used for the Drying stage and to a global moisture content gap relative to a Drying target. First, the heat and mass transfer model is validated for the Drying step of a plate sample of sludge, with a reversal Operation. Afterwards, the optimization procedure is carried out, and the results are discussed in terms of an energetic analysis.

Darko Velić - One of the best experts on this subject based on the ideXlab platform.

  • Energy saving in spray Drying process
    2003
    Co-Authors: Darko Velić, Mate Bilić, Srećko Tomas, Mirela Planinić
    Abstract:

    In this work some possibilities to improve the conventional spray Drying process using programming in Excel as a calculation tool have been presented. The minimization of energy consumption during the Drying Operation can be achieved by recycling exhaust air. The maximum theoretical range of recirculation is 60%. The fuel oil saving rate depends linearly on the rate of recirculation, and the theoretical maximum fuel oil saving is approximately 14%. Ecological issues were also considered as well, since decreased fuel consumption lowers harmful gas emission to the environment.

  • Simulation, calculation and possibilities of energy saving in spray Drying process
    Applied Thermal Engineering, 2003
    Co-Authors: Darko Velić, Mate Bilić, Srećko Tomas, Mirela Planinić
    Abstract:

    In this work some possibilities to improve the conventional spray Drying process using programming in Excel as a calculation tool have been presented. The program gives a simple description of the Drying process using thermodynamic calculations of heat and mass balance. Using the program it is possible to reduce operating costs and to improve capacity per unit of Drying equipment. The minimization of energy consumption during the Drying Operation can be achieved by recycling exhaust air. The maximum theoretical range of recirculation is 60%. The fuel oil saving rate depends linearly on the rate of recirculation, and the theoretical maximum fuel oil saving is approximately 14%. Ecological issues were also considered as well, since decreased fuel consumption lowers harmful gas emission to the environment. All necessary data are represented in the process flow sheet, which is used for a better understanding of the Drying process optimisation.

Salah Jellali - One of the best experts on this subject based on the ideXlab platform.

  • Olive Mill Wastewater: From a Pollutant to Green Fuels, Agricultural Water Source, and Bio-Fertilizer. Part 2: Water Recovery
    Water, 2019
    Co-Authors: Patrick Dutournié, Mejdi Jeguirim, Besma Khiari, Mary-lorène Goddard, Salah Jellali
    Abstract:

    Water shortage is a very concerning issue in the Mediterranean region, menacing the viability of the agriculture sector and in some countries, population wellbeing. At the same time, liquid effluent volumes generated from agro-food industries in general and olive oil industry in particular, are quite huge. Thus, the main aim of this work is to suggest a sustainable solution for the management of olive mill wastewaters (OMWW) with possible reuse in irrigation. This work is a part of a series of papers valorizing all the outputs of a three-phase system of oil mills. It deals with recovery, by condensation, of water from both OMWW and OMWW-impregnated biomasses (sawdust and wood chips), during a convective Drying Operation (air velocity: 1 m/s and air temperature: 50 • C). The experimental results showed that the water yield recovery reaches about 95%. The condensate waters have low electrical conductivity and salinities but also acidic pH values and slightly high chemical oxygen demand (COD) values. However, they could be returned suitable for reuse in agriculture after additional low-cost treatment.