Developing a decision support tool for managing sludge from wastewater treatment plants in Jordan

2019 ◽  
Vol 139 ◽  
pp. 95-104 ◽  
Author(s):  
H.A. Abu Qdais
Keyword(s):  
Wastewater Treatment ◽  
Decision Support ◽  
Wastewater Treatment Plants ◽  
Decision Support Tool ◽  
Support Tool

Energy and process data processing and visualisation for optimising wastewater treatment plants

2015 ◽  
Vol 10 (1) ◽  
pp. 10-18 ◽  
Author(s):  
Christian M. Thürlimann ◽  
David J. Dürrenmatt ◽  
Kris Villez
Keyword(s):  
Wastewater Treatment ◽  
Performance Indicator ◽  
Wastewater Treatment Plants ◽  
Data Communication ◽  
Decision Support Tool ◽  
Plant Performance ◽  
Process Data ◽  
Support Tool ◽  
Effluent Quality ◽  
Visualisation Tool

For complex systems such as wastewater treatment plants (WWTPs), effective data communication is an important step to enable operators to assess their plant. However, examples in practice show that this step is insufficiently considered. In this article, we describe a fast, relevant, and intuitive decision-support tool for operators. We have developed a key performance indicator (KPI) visualisation tool for energy and process data embedded in a larger process optimisation software. The KPI set consists of indicator values relating to energy and effluent quality. In order to ensure that the visualisation tool will be used and cover the needs of the plant staff, we developed this part of the software in collaboration with two WWTPs. At the time of writing, the tool is used in the daily operation of both plants. The operators see the tool's most important advantages as its ability to quickly assess current plant performance and to simplify the tracking and analysis of inter- and intra-process relationships and dynamics.

Life cycle assessment as a decision support tool in wastewater treatment plant design with renewable energy utilization

2017 ◽  
Vol 93 ◽  
pp. 229-238 ◽  
Author(s):  
Muratcan Başkurt ◽  
Ilgın Kocababuç ◽  
Esra Binici ◽  
Ebru Dulekgurgen ◽  
Özlem Karahan Özgün ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Life Cycle Assessment ◽  
Renewable Energy ◽  
Life Cycle ◽  
Decision Support ◽  
Treatment Plant ◽  
Decision Support Tool ◽  
Energy Utilization ◽  
Plant Design ◽  
Support Tool

Validation of a decision support tool for wastewater treatment selection

2016 ◽  
Vol 184 ◽  
pp. 409-418 ◽  
Author(s):  
A. Castillo ◽  
J. Porro ◽  
M. Garrido-Baserba ◽  
D. Rosso ◽  
D. Renzi ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Decision Support ◽  
Decision Support Tool ◽  
Treatment Selection ◽  
Support Tool

scholarly journals Development and Application of a User-Friendly Decision Support Tool for Optimization of Wastewater Treatment Technologies in India

10.29007/k9xx ◽  
2018 ◽  
Author(s):  
Seyed M. K. Sadr ◽  
Matthew Johns ◽  
Fayyaz Memon ◽  
Mark Morley ◽  
Dragan Savic
Keyword(s):  
Wastewater Treatment ◽  
Decision Support ◽  
Treatment Options ◽  
Treatment Strategies ◽  
Decision Support Tool ◽  
Careful Consideration ◽  
Contributing Factors ◽  
Support Tool ◽  
Treatment Technologies ◽  
User Friendly

The selection of suitable wastewater treatment solutions is a complex problem that requires the careful consideration of many factors. With water at a premium and water consumption increasing, India is facing a challenging time ahead, requiring effective water treatment solutions. The Wastewater Decision Support Optimizer (WiSDOM) presented here is a user-friendly software package designed to aid in the formulation and configuration of wastewater systems in developing countries such as India. WiSDOM employees advanced multi-objective optimization and decision analysis techniques to identify optimal wastewater treatment options. It has been demonstrated that WiSDOM can adapt to a wide array of scenarios, considering a range of contributing factors (technical, environmental, economic and social), enabling stakeholders to make more informed decisions. The tool was applied to three different scenarios to test its functionalities and assess treatment technologies potential for different contexts. Initial results suggest that it is possible to automatically generate feasible distinct treatment strategies for user-defined contexts/constraints.

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