Design and Numerical Energetic Analysis of a Novel Semi-Automated Biomass-Powered Multipurpose Dryer

Author:

Ezurike Benjamin O.1,Abid Muhammad23,Ajah Stephen A.4ORCID,Okoronkwo Chukwunenye A.5,Adun Humphrey3ORCID,Nwawelu Udora N.6ORCID,Bamisile Olusola7ORCID,Zaini Juliana Hj2

Affiliation:

1. Department of Mechatronic Engineering, Alex Ekwueme Federal University, Ndufu-Alike, Abakaliki P.O. Box 1010, Nigeria

2. Department of Energy Systems Engineering, Faculty of Integrated Technologies, Universiti Brunei Darussalam, Jalan Tungku Link BE, Bandar Seri Begawan 1410, Brunei

3. Energy Systems Engineering Department, Cyprus International University, Haspolat-Lefkosa, KKTC, Mersin 10, Nicosia 99258, Cyprus

4. Department of Mechanical Engineering, Alex Ekwueme Federal University, Ndufu-Alike, Abakaliki P.O. Box 1010, Nigeria

5. Department of Mechatronic Engineering, Federal University of Technology, Owerri 460114, Nigeria

6. Department of Electronic Engineering, University of Nigeria, Nsukka 410001, Nigeria

7. College of Nuclear Science and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China

Abstract

This work presents a new all-inclusive mathematical model that combines both processes and an energy analysis of a semi-automated biomass-powered multipurpose dryer. A mathematical model was developed and a wood sample was used to simulate the model. Energy interaction between the system and sample was established. Most importantly, the incorporation of a sensor control system ensures that, once there is an increase in thermal energy from the combustion of the biomass, a signal is passed to the temperature sensor module that controls the system’s temperature and hence shuts down the heat supply at a predetermined temperature; in this case, at 67 °C. The results of the system’s modification show that the peak temperature of the drying space and the sample was 67 °C and 56 °C, respectively, and that the maximum temperature lag witnessed by the two regimes was 10 °C. The peak temperature removal rate of the sample was 0.0066 kg/h, while the sample attained 0.4 (40%) moisture concentration of its initial value; 90% mass content removal (10% remaining mass content) of the initial mass of the sample was achieved at the end, with a simulation time of 240 s.

Funder

Universiti Brunei Darussalam

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3