MATEC Web Conf.
Volume 333, 2021The 18th Asian Pacific Confederation of Chemical Engineering Congress (APCChE 2019)
|Number of page(s)||7|
|Published online||08 January 2021|
Design and Optimisation of Wastewater Treatment Plant for the Poultry Industry
Department of Chemical and Environmental Engineering/Centre of Excellence for Green Technologies, University of Nottingham Malaysia, Broga Road, 43500 Semenyih, Selangor, Malaysia
2 School of Engineering and Physical Sciences, Heriot-Watt University Malaysia, Putrajaya, Malaysia
* Corresponding author: firstname.lastname@example.org
The objective of this study is to optimise the wastewater treatment plant of poultry industry. The optimisation of simulation model was done using the SuperPRO designer as simulator. The performance of the wastewater treatment plant for the poultry industry has improved significantly at the minimum cost. The COD value reduced from 133 mg/L to 0.05 mg/L at the discharge stream 1 and 73.7 mg/L for discharge stream 2. In addition, the BOD5 value reduced from 66.7 mg/L to 0.03 mg/L at the discharge stream 1 and 47.1 mg/L at the discharge stream 2. Further to this, the TTS reduced from 33.3 mg/L to 0.0 mg/L at the discharge stream 1 and 1.69 mg/L at the discharge stream 2. Oil and grease also reduced from 3.3 mg/L to 0.024 mg/L at the discharge stream 1 and 18.7 mg/L at the discharge stream 2. The existing model and system can improve the wastewater treatment plant of poultry industry.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.