Case Based Design

Avramenko, Yuri; Krasławski, Andrzej

doi:10.1007/978-3-540-75707-8

Cited by 19 publications

(7 citation statements)

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“…A CBR approach can handle incomplete data: it is robust with respect to unknown values because it does not generalize the data. Instead, the approach supports decision making relying on particular experience [3].…”

Section: Case-based Reasoningmentioning

confidence: 99%

“…In order to defi ne a similarity between cases containing both numeric and textual-symbolic information, the general similarity concept is used [3,4]. The treatment sequences of similar cases are provided as promising solutions.…”

Section: Case Study Managermentioning

confidence: 99%

“…This paper evaluates a design approach of Limbe wastewater treatment works (Limbe WWTW) using the principles of case-based design (CBD) and case-based reasoning (CBR) as incorporated in the ED-WAVE tool [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

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ED-WAVE tool design approach: case of Limbe wastewater treatment works, Blantyre, Malawi

Chipofya

Krasławski

Avramenko

2010

Desalination and Water Treatment

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A B S T R AC TThe ED-WAVE tool is a PC based package for imparting training on wastewater treatment technologies. The system consists of four modules viz. Reference Library, Process Builder, Case Study Manager, and Treatment Adviser. The principles of case-based design (CBD) and case-based reasoning (CBR) as applied in the ED-WAVE tool are utilised in this paper to evaluate the design approach of Limbe wastewater treatment works (Limbe WWTW) in Malawi. The plant has an average dry weather fl ow rate of 1,800 m 3 /d. The study established that a similar case to both the dry season and wet season conditions of Soche wastewater treatment works has similarities to Municipal Case 1 in Sri Lanka, with a fl ow rate of 1,700 m 3 /d. The study further established that that there are certain unit treatment processes that are important in wastewater treatment. These include a primary sedimentation process, achieved through the imhoff tank at the plant in Sri Lanka, chemical precipitation followed by sedimentation as suggested by the dry season and wet season unit treatment processes, and the receiving pond in the actual set up at Limbe. Municipal Case 1 in Sri Lanka utilises trickling fi lters for aerobic biological treatment while the Limbe plant accomplishes this process through the facultative ponds. The suggested sequencing of dry and wet weather conditions by the Treatment Adviser provides for activated sludge for aerobic biological treatment. Screening is incorporated at the Limbe plant. This process is not there at Municipal Case 1 in Sri Lanka. Screening is necessary in developing countries because of the nature and quantity of solids present in sewage, which include still born babies, maize cobs and pieces of cloth used for anal cleaning, and domestic garbage. Biochemical Oxygen Demand (BOD 5 ), Chemical Oxygen Demand (COD), and Total Dissolved Solids (TSS) removal effi ciency in the dry season was 93%, 40% and 93%, respectively. The study further established that the BOD 5 , COD and TSS removal effi ciency in the wet season was 92%, 5% and 20%, respectively. BOD 5 , COD and TSS removal effi ciency at the plant in Sri Lanka was 83%, 76% and 77%, respectively. The close correlation in the treatment processes at Municipal Case 1 in Sri Lanka, the suggested dry and wet season unit treatment processes according to the Treatment Adviser, and the actual set up at Limbe WWTW confi rms the practical use of CBD and CBR principles in the ED-WAVE tool in the design of wastewater treatment systems.

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Section: Case-based Reasoningmentioning

confidence: 99%

Section: Case Study Managermentioning

confidence: 99%

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ED-WAVE tool design approach: case of Limbe wastewater treatment works, Blantyre, Malawi

Chipofya

Krasławski

Avramenko

2010

Desalination and Water Treatment

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“…In order to define a similarity between cases containing both numeric and textual-symbolic information, the general similarity concept is used [5]. The treatment sequences of similar cases are provided as promising solutions.…”

Section: Ta Pbmentioning

confidence: 99%

“…The tool is based on the principles of case-based design and case-based reasoning as applied in Process Systems Engineering [5,11]. Fig.…”

Section: Process Buildermentioning

confidence: 99%

Comparison of Wastewater Treatment Technologies in the ED-WAVE Tool to Technologies of Similar Cases in Malawi: Case of Blantyre and Soche WWTW

Chipofya¹,

Krasławski²,

Avramenko³

2010

TOCIEJ

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This paper compares the wastewater treatment technologies at Blantyre and Soche wastewater treatment works (WWTW) in Malawi with technologies of a similar case according to the ED-WAVE tool to determine if existing cases in the tool can be invoked and appropriately modified to arrive at a particular design alternative. The ED-WAVE tool is a shareware PC based package for imparting training on wastewater treatment technologies. The system consists of four modules viz. Reference Library, Process Builder, Case Study Manager, and Treatment Adviser. The paper also compares the reduction in the levels of BOD5, COD, and TSS at the three respective treatment works. The study established that there is a similarity in the sequencing of treatment units of Municipal Case 6 in the ED-WAVE tool and the sequencing of treatment units at Blantyre and Soche WWTW, respectively. All the three plants incorporate screening, grit removal, aerobic biological treatment, and sedimentation. Soche and Blantyre WWTW use hand-raked inclined bar screens and constant velocity grit channels, where longitudinal flow velocity is hydraulically controlled. Rotary mechanically-raked bar screens and mechanically stirred grit chambers are used in the ED-WAVE tool. In addition, Municipal Case 6 uses oxidation ditches for aerobic biological treatment while Blantyre and Soche WWTW use trickling filters. BOD5 removal efficiency at Soche WWTW at 95% and 96% for dry season and wet season, respectively, is comparable to the removal efficiency at Municipal Case 6 (95%). The dry season BOD5 removal efficiency at Blantyre WWTW at 87% is slightly lower than the removal efficiency at Municipal Case 6. TSS removal efficiency at Soche WWTW is at 80% in the wet season and 35% in the dry season. TSS removal efficiency at Blantyre WWTW is only 3% in the wet season, while there is an increase of 11% in the wet season. TSS removal efficiency at Municipal Case 6 is 96%. Inspite of the difference in the BOD5 and TSS removal efficiencies at Municipal Case 6 as compared to Blantyre and Soche WWTW, there is a close match in technologies at Blantyre and Soche WWTW, and Municipal Case 6 in Greece as invoked by the Case Study Manager in the ED- WAVE tool. What is evident from this study is the need to appropriately modify the case arrived at through the Case Study Manager in order to come up with a design appropriate to the local situation in terms of operation and maintenance.

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Noniterative Optimization Methods

Zhao

Gao

Zhou

et al. 2013

Computer Modeling for Injection Molding

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Case Based Design

Abstract: The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.

Cited by 19 publications

References 0 publications

ED-WAVE tool design approach: case of Limbe wastewater treatment works, Blantyre, Malawi

ED-WAVE tool design approach: case of Limbe wastewater treatment works, Blantyre, Malawi

Comparison of Wastewater Treatment Technologies in the ED-WAVE Tool to Technologies of Similar Cases in Malawi: Case of Blantyre and Soche WWTW

Noniterative Optimization Methods

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