Aprajeeta Jha - Academia.edu (original) (raw)

Papers by Aprajeeta Jha

Frontiers in plant science, Mar 19, 2024

Food Engineering Reviews, Sep 1, 2020

Hybrid solar drying technology for food products is a clean and cost-effective replacement of hig... more Hybrid solar drying technology for food products is a clean and cost-effective replacement of highly energy intensive thermal dryers employed in agri-food processing chain. This involves the amalgamation of "only solar dryer" with various other energy harvesting systems like, biogas, heat pump, and thermal storage materials. This paper reviews the significance of hybrid solar dryers in terms of withstanding varied climatic and uncontrolled environmental conditions and their impact on drying characteristics of food products. From the appraisal, heat pump hybrid solar dryers proved to be more efficient, having wide range of drying temperature, and is suitable for heat-sensitive products. On the other hand, the advantages of biomass hybrid solar dryer lies in its ability to utilize cheap local resources for assisting the energy requirements and have low constructional cost. However, the state of art indicated that sanitary aspects of solar drying have not been explored much and should be encouraged. The presented review also explores the research scenario of relevant virtual platforms, applicable for simulating the dryer design and drying parameters. The important findings on modeling aspects of dryer design and thick layer drying of food products in solar dryer are also discussed. The economic assessment of presently available hybrid solar dryers showed competitive profitability metrics and equipment cost. Moreover, it is suggested for the promotion of energy-efficient hybrid solar dryers and its environmental benefits in the future to provide a benchmark for drying applications in food processing industries.

Journal of Food Measurement and Characterization, Mar 30, 2020

Enzymes are widely used as flour aids, but their application and dose optimization at tempering s... more Enzymes are widely used as flour aids, but their application and dose optimization at tempering stage is not well examined. Therefore, the effect of enzymatic tempering (ET) on flour yield, quality, microstructure and crystallinity of wheat was investigated in the present work. Box-Behnken design was chosen to optimize the tempering parameters; enzyme concentrations, incubation temperature, and time. Optimum conditions for ET were obtained at 143 EU, 12.4 h, and 28 °C. Flour yield for ET and conventionally tempered (CT) wheat were 72.19 ± 0.49% and 68.13 ± 0.05%, respectively. Ash content in ET refined wheat flour significantly reduced by 47.7% in contrast to CT samples. Micrographs and tomographic images revealed the disintegration of globular structure of endosperm and less prominent development of internal cracks in ET kernels. X-ray diffractograms showed the presence of A-type crystals both in ET and CT flour starch (FS), besides traces of V-type crystals in ET-FS. The study established that enzymes possessing different biochemical activities help in inducing synergistic effects on product quality, thus benefiting baking industries.

Journal of Cereal Science, Sep 1, 2020

This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Computers and Electronics in Agriculture, Aug 1, 2021

Abstract Present study aims to optimize the process parameters and to develop a 3-dimensional, mu... more Abstract Present study aims to optimize the process parameters and to develop a 3-dimensional, multi-layered finite element model for predicting moisture and temperature profile during simulated solar drying of paddy. Drying of paddy was conducted in an in-house designed photovoltaic integrated hybrid solar dryer. Design expert software was employed for optimization of drying process parameters (power level, air velocity and moisture content). Analysis of variance (ANOVA) was performed at significance level (P

Green chemistry and chemical engineering, Aug 22, 2017

Solar dryers have become imperative for most of developing countries like India to combat duo cha... more Solar dryers have become imperative for most of developing countries like India to combat duo challenges of meeting high energy demand for drying and to address climate change scenario. But performance and reliability of solar dryers depends hugely on sunshine period, climatic conditions, therefore, offer a limited control over drying conditions and have lower efficiencies. Solar drying systems supported by Photovoltaic (PV) power plant and hybrid type solar air collector can potentially overpower the disadvantages of solar dryers. In process of development of such robust hybrid dryers it becomes extremely important to asses performance parameters such as collector efficiency, system efficiency and loading density of the system. Further, to evaluate thermal performance and drying parameters of hybrid PV-solar dryer, heat and mass transfer studies during drying becomes critical; computational models can serve as desired tool for this purpose. Therefore, present work aims to conduct thermal and drying analysis in order to examine efficiency of fabricated hybrid PV-solar dryer. Additionally, to develop a 3D finite element model (FEM) for predicting temperature and moisture distribution profile within the system and dry paddy samples in the hybrid dryer. Temperature of the dryer was obtained by placing K-type thermocouple at different positions (collector inlet and outlet, glass cover, absorber plate and drying chamber) attached to data acquisition device. The efficiency of hybrid system was studied at different thermal intensity levels (340, 480, 750, 950 W/m 2 ). The drying experiments were conducted at thermal intensity level of 480 and 750 W/m 2 . Furthermore, COMSOL Multiphysics was employed to develop a 3D finite element model to evaluate the temperature distribution within the collector at no load condition and for predicting moisture profile of paddy grain during the drying period. The collector efficiency at different thermal intensity levels varied from 49.24% to 81.19% and was observed to be highest at thermal intensity of 750 W/m 2 . It was found that temperatures of different components of the system (collector and drying chamber) increases with increasing thermal intensity level. Loading density of the system was found to be 2.63 kg/m 3 and maximum system efficiency of 82.70% was observed at 750 W/m 2 . A drying time of 225 minutes and 105 minutes respectively are required for drying paddy up to a safe moisture level of 12% (wb) at 480 and 750 W/m 2 . The developed model predicts the moisture migration in single paddy kernel successfully. The model was validated with experiments and lower values of statistical measures (mean absolute error (MAE), mean relative error (MRE) and standard error (SE) were found to be 0.003, 0.0531 and 0.0007, respectively) justify a better correlation between experimental and predicted results. It can be concluded that the fabricated PV integrated hybrid -solar drying system can effectively be used for drying food grains. The maximum system efficiency with load and collector efficiency at no load condition were observed at thermal intensity of 750W/m 2 , which makes it suitable even for large scale drying. Furthermore, the developed FE model is capable of predicting moisture, temperature distribution and drying time successfully and can further be used for optimization for drying parameters of different products.

CRC Press eBooks, Sep 11, 2017

Preservatives and Preservation Approaches in Beverages, 2019

Abstract Computational fluid dynamics (CFD) is a powerful tool that uses computers in combination... more Abstract Computational fluid dynamics (CFD) is a powerful tool that uses computers in combination with applied mathematics to model and simulate fluid flow. CFD has been extensively applied in food processing for the design and optimization of equipment, and overall process control in baking ovens, spray dryers, chillers, heat exchangers, and other systems that are otherwise tedious using conventional approaches. Pasteurization in beer processing is usually a thermal treatment involving inactivation of spoilage microorganisms so as to extend its shelf life. Being an energy-intensive process and one that carries utmost significance in terms of the safety of the end product, beer pasteurization is a complex process requiring stringent control over process and product variables. CFD analysis of beer pasteurization has been effectively used to determine heat distribution patterns and to precisely identify the slowest heating zone within the bottle. Several researchers have modeled the process considering a model fluid or beer itself and the brewery industry can successfully use such research approaches to have a precise control over the pasteurization process and thereby contribute to quality assurance. This chapter elaborates such approaches and presents the potential of CFD as an optimization tool for the beverage industry.

Green Chemistry and Chemical Engineering, 2017

The Water–Food–Energy Nexus, 2017

Computers and Electronics in Agriculture, 2021

Smartphone-Based Detection Devices, 2021

Food Engineering Reviews, 2020

Journal of Food Measurement and Characterization, 2020

Renewable Energy, 2018

The panel temperature plays a significant role in the electricity generation process of the photo... more The panel temperature plays a significant role in the electricity generation process of the photovoltaic system. Therefore, a finite element (FE) computational model employing COMSOL Multiphysics 5.3a software for predicting heat transfer phenomenon for photovoltaic (PV) panel has been attempted in the present work. A comparative study was performed to explore the impact of dirt in windy and windless condition, as well as seasonal variation on the performance of PV system. It was observed that during summer the reduction in panel efficiency due to dust deposition was 51.0 % higher than in winter. The maximum efficiency of the clean and dusty panel on a windy day was reduced by 15.0 % and 19.5 % respectively. Panel surface temperature in different seasons (summer and winter), heat transfer coefficient, solar radiation, and efficiency were successfully predicted and validated. The panel efficiency in summer and winter varied from 13.0-13.9 % and 16.0-16.4 % respectively. Additionally, as compared to nominal operating cell temperature (NOCT) model, the temperature profile predicted by FE model was found to be more accurate with lower measures of statistical error. Hence, it can be concluded that the FE model can be successfully used for heat transfer analysis of PV system.

Journal of Cereal Science