scholarly journals Anaerobic digestion inhibition indicators and control strategies in processes treating industrial wastewater and wastes

2020 ◽  
Vol 19 (1) ◽  
pp. 29-44
Author(s):  
A. Serrano-Meza ◽  
M.A. Garzón-Zuñiga ◽  
B.E. Barragán-Huerta ◽  
E.B. Estrada-Arriaga ◽  
N. Almaraz-Abarca ◽  
...  
Keyword(s):  
Anaerobic Digestion ◽  
Industrial Wastewater ◽  
Control Strategies ◽  
And Control

Foaming mechanisms and control strategies during the anaerobic digestion of organic waste: A critical review

2021 ◽  
pp. 146531
Author(s):  
Pingjin Yang ◽  
Yun Peng ◽  
Hanyue Tan ◽  
Hengyi Liu ◽  
Di Wu ◽  
...  
Keyword(s):  
Anaerobic Digestion ◽  
Critical Review ◽  
Organic Waste ◽  
Control Strategies ◽  
And Control

Optimization of biogas generation using anaerobic digestion models and computational intelligence approaches

2017 ◽  
Vol 33 (3) ◽  
Author(s):  
Abimbola M. Enitan ◽  
Josiah Adeyemo ◽  
Feroz M. Swalaha ◽  
Sheena Kumari ◽  
Faizal Bux
Keyword(s):  
Renewable Energy ◽  
Anaerobic Digestion ◽  
Computational Intelligence ◽  
Biogas Production ◽  
Control Strategies ◽  
Reactor Performance ◽  
Microbial Composition ◽  
Predictive Tool ◽  
Efficient Operation ◽  
And Control

AbstractAnaerobic digestion (AD) technology has become popular and is widely used due to its ability to produce renewable energy from wastes. The bioenergy produced in anaerobic digesters could be directly used as fuel, thereby reducing the release of biogas to the atmosphere. Due to the limited knowledge on the different process disturbances and microbial composition that are vital for the efficient operation of AD systems, models and control strategies with respect to external influences are needed without wasting time and resources. Different simple and complex mechanistic and data-driven modeling approaches have been developed to describe the processes taking place in the AD system. Microbial activities have been incorporated in some of these models to serve as a predictive tool in biological processes. The flexibility and power of computational intelligence of evolutionary algorithms (EAs) as direct search algorithms to solve multiobjective problems and generate Pareto-optimal solutions have also been exploited. Thus, this paper reviews state-of-the-art models based on the computational optimization methods for renewable and sustainable energy optimization. This paper discusses the different types of model approaches to enhance AD processes for bioenergy generation. The optimization and control strategies using EAs for advanced reactor performance and biogas production are highlighted. This information would be of interest to a dynamic group of researchers, including microbiologists and process engineers, thereby offering the latest research advances and importance of AD technology in the production of renewable energy.

Effective infection prevention and control strategies in a large accredited psychiatric facility in Singapore

2020 ◽  
Author(s):  
Daniel Poremski ◽  
Sandra Henrietta Subner ◽  
Grace Lam Fong Kin ◽  
Raveen Dev Ram Dev ◽  
Mok Yee Ming ◽  
...  
Keyword(s):  
Mental Health ◽  
Prevention And Control ◽  
Infection Prevention ◽  
Control Strategies ◽  
Infection Prevention And Control ◽  
Psychiatric Facility ◽  
Essential Services ◽  
Community Transmission ◽  
And Control

The Institute of Mental Health in Singapore continues to attempt to prevent the introduction of COVID-19, despite community transmission. Essential services are maintained and quarantine measures are currently unnecessary. To help similar organizations, strategies are listed along three themes: sustaining essential services, preventing infection, and managing human and consumable resources.

Optimization and Control Petroleum Refinery Wastewater Treatment Systems — Status, Trends and Needs

1989 ◽  
Vol 24 (3) ◽  
pp. 463-477
Author(s):  
Stephen G. Nutt
Keyword(s):  
Wastewater Treatment ◽  
Process Control ◽  
Petroleum Refinery ◽  
Control Strategies ◽  
Refinery Wastewater ◽  
Statistical Process ◽  
Petroleum Refinery Wastewater ◽  
Optimization And Control ◽  
And Control ◽  
Wastewater Treatment Systems

Abstract Based on discussions in workshop sessions, several recurring themes became evident with respect to the optimization and control of petroleum refinery wastewater treatment systems to achieve effective removal of toxic contaminants. It was apparent that statistical process control (SPC) techniques are finding more widespread use and have been found to be effective. However, the implementation of real-time process control strategies in petroleum refinery wastewater treatment systems is in its infancy. Considerable effort will need to be expended to demonstrate the practicality of on-line sensors, and the utility of automated process control in petroleum refinery wastewater treatment systems. This paper provides a summary of the discussions held at the workshop.

Effect of a Starch-Rich Industrial Wastewater on the Acid-Phase Anaerobic Digestion Process

2005 ◽  
Vol 77 (4) ◽  
pp. 366-371 ◽  
Author(s):  
Panagiotis Elefsiniotis ◽  
David G Wareham ◽  
Marcus O Smith
Keyword(s):  
Anaerobic Digestion ◽  
Industrial Wastewater ◽  
Anaerobic Digestion Process ◽  
Digestion Process

Learning and control

2018 ◽  
Author(s):  
Ivan Herreros
Keyword(s):  
Machine Learning ◽  
Reinforcement Learning ◽  
Brain Function ◽  
Control Strategies ◽  
Learning Problems ◽  
Animal Learning ◽  
Feed Forward Control ◽  
Machine Learning Applications ◽  
And Control

This chapter discusses basic concepts from control theory and machine learning to facilitate a formal understanding of animal learning and motor control. It first distinguishes between feedback and feed-forward control strategies, and later introduces the classification of machine learning applications into supervised, unsupervised, and reinforcement learning problems. Next, it links these concepts with their counterparts in the domain of the psychology of animal learning, highlighting the analogies between supervised learning and classical conditioning, reinforcement learning and operant conditioning, and between unsupervised and perceptual learning. Additionally, it interprets innate and acquired actions from the standpoint of feedback vs anticipatory and adaptive control. Finally, it argues how this framework of translating knowledge between formal and biological disciplines can serve us to not only structure and advance our understanding of brain function but also enrich engineering solutions at the level of robot learning and control with insights coming from biology.

Current status, problems and control strategies of water resources pollution in China

Water Policy ◽  
2014 ◽  
Vol 17 (3) ◽  
pp. 423-440 ◽  
Author(s):  
Lei Wu ◽  
Tong Qi ◽  
Dan Li ◽  
Huijuan Yang ◽  
Guoqing Liu ◽  
...  
Keyword(s):  
Water Pollution ◽  
Control Strategies ◽  
Water Environment ◽  
Underground Water ◽  
National Standard ◽  
Current Status ◽  
Food Borne ◽  
Major River ◽  
And Control ◽  
Research And Policy

The surface water of 10 major river systems across China has been under intermediate pollution with striking eutrophication problems in major lakes (reservoirs). More data from the Ministry of Environmental Protection of China showed that underground water in 57% of monitoring sites across Chinese cities was polluted or extremely polluted. Rural water pollution, the rising number of incidents of industrial pollution, outdated sewerage systems, and the overuse of pesticides and chemical fertilizers also endanger the health of rural inhabitants in China. Nearly 0.2 billion rural residents could not use drinking water in accordance with the national standard, and there were reports of ‘cancer villages' and food-borne diseases (cancer village refers to a village where a certain proportion of its inhabitants suffer from the same kind of cancer or where there is a hike in cancer incidence in that area). This study aims to raise awareness of the prevention and control of water pollution and to propose a set of national research and policy initiatives for the future safety of the water environment in China.

Sign in / Sign up

Export Citation Format

Share Document