Convective and infrared drying assisted by capillary drainage of spirulina: a real possibility to reduce the energy consumption

2018 ◽  
Vol 55 (3) ◽  
pp. 867-876 ◽  
Author(s):  
Thouraya Ghnimi ◽  
Lamine Hassini ◽  
Mohamed Bagane
Keyword(s):  
Energy Consumption ◽  
Real Possibility ◽  
Infrared Drying ◽  
Capillary Drainage

scholarly journals Microwave and infrared drying kinetics and energy consumption of cherry tomatoes

2020 ◽  
Vol 26 (2) ◽  
pp. 203-212 ◽  
Author(s):  
Azmi Kipcak ◽  
İbrahim Doymaz
Keyword(s):  
Energy Consumption ◽  
Thin Layer ◽  
Power Density ◽  
Drying Kinetics ◽  
Infrared Drying ◽  
Effective Moisture ◽  
Infrared Studies ◽  
Kinetics Of ◽  
Best Fit ◽  
Cherry Tomatoes

In this study, the effect of different microwave and infrared power levels on drying kinetics of cherry tomatoes is investigated. Drying experiments are carried out with the power levels of 90, 180, 270 and 360 W (5.625, 11.250, 16.875 and 22.500 W/g as power density) in microwave studies and 74, 83 and 104 W (0.871, 0.976 and 1.224 W/g as power density) in infrared studies. The obtained experimental moisture ratios are fitted to seven different widely used thin-layer models and the results showed that Weibull and Aghbashlo et al. models best fit the data for microwave and infrared drying of cherry tomatoes. The effective moisture diffusivities for microwave and infrared drying studies are calculated between 5.46?10-8 and 4.24?10-7 m2/s and 7.33?10-9? ?8.24?10-9 m2/s, respectively. Additionally, microwave and infrared activation energies are found to be 9.4654 and 0.3162 kW/kg, respectively.

scholarly journals Impact of blanching pretreatment on the drying rate and energy consumption during far-infrared drying of Paprika (Capsicum annuum L.)

2018 ◽  
Vol 2 (2) ◽  
pp. 97-103 ◽  
Author(s):  
Takahiro Orikasa ◽  
Naoki Ono ◽  
Takashi Watanabe ◽  
Yasumasa Ando ◽  
Takeo Shiina ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Capsicum Annuum ◽  
Far Infrared ◽  
Drying Rate ◽  
Infrared Drying ◽  
Capsicum Annuum L

Modelling the mid-infrared drying of sweet potato: kinetics, mass and heat transfer parameters, and energy consumption

2018 ◽  
Vol 54 (10) ◽  
pp. 2917-2933 ◽  
Author(s):  
Daniel I. Onwude ◽  
Norhashila Hashim ◽  
Khalina Abdan ◽  
Rimfiel Janius ◽  
Guangnan Chen
Keyword(s):  
Heat Transfer ◽  
Energy Consumption ◽  
Sweet Potato ◽  
Mid Infrared ◽  
Infrared Drying ◽  
Mass And Heat Transfer ◽  
Transfer Parameters

The Experimental Study on Infrared Dryer for Corn

2015 ◽  
Vol 723 ◽  
pp. 711-714
Author(s):  
Chun Shan Liu ◽  
Si Yu Chen ◽  
Wen Fu Wu ◽  
Jun Fa Wang ◽  
Hai Bo Zhou
Keyword(s):  
Experimental Study ◽  
Energy Consumption ◽  
Moisture Content ◽  
Air Temperature ◽  
Load Condition ◽  
Air Distribution ◽  
Drying Process ◽  
Drying Characteristics ◽  
Infrared Drying ◽  
Hot Air

To understand the drying characteristics of corn in infrared drying process, the research of corn post-harvest drying experiment was developed on self-developed infrared grain dryer. Analysing the influence of hot air temperature by blast capacity and the outlet size of air distribution under the full load condition, the change rules of the corn moisture content, the temperature change and the energy consumption characteristics during the drying process have been researched.

Lay Perceptions of Energy Consumption

2009 ◽  
Author(s):  
Shahzeen Z. Attari ◽  
Michael L. DeKay ◽  
Cliff I. Davidson ◽  
Wandi Bruine de Bruin
Keyword(s):  
Energy Consumption ◽  
Lay Perceptions

Study on Energy Consumption by Land Cargo Transportation

ICCTP 2009 ◽  
2009 ◽  
Author(s):  
Shunquan Huang ◽  
Siqin Yu ◽  
Zhongmin Liu
Keyword(s):  
Energy Consumption ◽  
Cargo Transportation

Interference mitigation in point to point wireless sensor networks using LSP protocol and time division multiplexing approach

2020 ◽  
Vol 39 (4) ◽  
pp. 5449-5458
Author(s):  
A. Arokiaraj Jovith ◽  
S.V. Kasmir Raja ◽  
A. Razia Sulthana
Keyword(s):  
Energy Consumption ◽  
Large Scale ◽  
Control Parameter ◽  
Interference Mitigation ◽  
Wireless Sensor ◽  
Point To Point ◽  
A Minor ◽  
Two Stages ◽  
Time Division ◽  
And Control

Interference in Wireless Sensor Network (WSN) predominantly affects the performance of the WSN. Energy consumption in WSN is one of the greatest concerns in the current generation. This work presents an approach for interference measurement and interference mitigation in point to point network. The nodes are distributed in the network and interference is measured by grouping the nodes in the region of a specific diameter. Hence this approach is scalable and isextended to large scale WSN. Interference is measured in two stages. In the first stage, interference is overcome by allocating time slots to the node stations in Time Division Multiple Access (TDMA) fashion. The node area is split into larger regions and smaller regions. The time slots are allocated to smaller regions in TDMA fashion. A TDMA based time slot allocation algorithm is proposed in this paper to enable reuse of timeslots with minimal interference between smaller regions. In the second stage, the network density and control parameter is introduced to reduce interference in a minor level within smaller node regions. The algorithm issimulated and the system is tested with varying control parameter. The node-level interference and the energy dissipation at nodes are captured by varying the node density of the network. The results indicate that the proposed approach measures the interference and mitigates with minimal energy consumption at nodes and with less overhead transmission.

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