A Review paper on the Performance evaluation of STPs based on different technologies ASP, SBR &MBBR
Anubhav Sharma
, Sehdev Jain
Activated sludge process (ASP), Sequencing batch reactor (SBR), Moving bed biofilm reactor (MBBR), Wastewater treatment, Sewage treatment plants (STPs).
This review paper provides an overview of the performance evaluation of sewage treatment plants (STPs) based on different technologies, including the activated sludge process (ASP), the sequencing batch reactor (SBR), and the moving bed biofilm reactor (MBBR). The paper highlights the importance of STPs in wastewater treatment and the need for sustainable and efficient treatment technologies. This paper examines various literature reviews in which many studies were done previously to examine various aspects of each technology, such as the removal efficiency of pollutants, operating costs, energy consumption, and so on. Based on these key findings from previous research, SBR and MBBR are more energy-efficient and have a higher removal efficiency for some contaminants than ASP, with MBBR appearing to be the more promising technology than SBR for wastewater removal. The paper also emphasis the requirement for persistent observation and evaluation of STP performance to ensure that they meet the required standards for effluent discharge, focusing on improving each technology's performance and sustainability with certain advancements and comparing their long-term costs and benefits.
"A Review paper on the Performance evaluation of STPs based on different technologies ASP, SBR &MBBR", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.b760-b764, March-2023, Available :https://ijnrd.org/papers/IJNRD2303182.pdf
Volume 8
Issue 3,
March-2023
Pages : b760-b764
Paper Reg. ID: IJNRD_188735
Published Paper Id: IJNRD2303182
Downloads: 000118836
Research Area: Civil Engineering
Country: Meerut, UttarPradesh, India
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave