A DSS generator for multiobjective optimisation of spreadsheet-based models

Savić, Dragan; Bicik, Josef; Morley, Mark S.

doi:10.1016/j.envsoft.2010.11.004

Cited by 103 publications

(39 citation statements)

References 44 publications

(47 reference statements)

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“…In general, as stated by Savić et al (2011), model-based methodologies for environmental applications (i.e. leakage detection and localization) presents a certain degree of complexity which limits their use to experts in the modelling field involved in each environmental application.…”

Section: Introductionmentioning

confidence: 99%

A decision support system for on-line leakage localization

Meseguer

Mirats-Tur

Cembraño

et al. 2014

Environmental Modelling & Software

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Abstract:This paper describes a model-driven decision-support system (software tool) implementing a model-based methodology for on-line leakage detection and localization which is useful for a large class of water distribution networks. Since these methods present a certain degree of complexity which limits their use to experts, the proposed software tool focuses on the integration of a method emphasizing its use by water network managers as a decision support system. The proposed software tool integrates a model-based leakage localization methodology based on the use of on-line telemetry information, as well as a water network calibrated hydraulic model. The application of the resulting decision support software tool in a district metered area (DMA) of the Barcelona distribution network is provided and discussed. The obtained results show that the leakage detection and localization may be performed efficiently reducing the required time.

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Section: Introductionmentioning

confidence: 99%

A decision support system for on-line leakage localization

Meseguer

Mirats-Tur

Cembraño

et al. 2014

Environmental Modelling & Software

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“…This model uses a well established GA optimisation tool developed by the University of Exeter, GANetXL, (Bicik et al, 2006;Savić et al, 2011). The optimisation model evaluates numerous rehabilitation solutions within the optimisation environment using a multiobjective GA.…”

Section: Methodsmentioning

confidence: 99%

A multi-objective optimisation model for sewer rehabilitation considering critical risk of failure

Ward

Savić

2012

Water Science and Technology

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A unique methodology for the optimal specification of sewer rehabilitation investment is presented in this paper. By accounting for the critical risk of asset failure, this methodology builds on previously successful work which explored the application of multi-objective optimisation tools to assist engineers with the specification of optimal rehabilitation strategies. The conventional sewerage rehabilitation specification process relies on the expertise of professional engineers to manually evaluate CCTV inspection information when determining the nature and extent of the rehabilitation solution. This process is not only tedious and subjective but it has no quantifiable means of identifying optimal solutions, or, possible combinations of optimal solutions in the delivery of catchment wide rehabilitation programmes. Therefore, the purely manual process of sewer rehabilitation design leaves a number of unanswered questions, such as: (1) Does the solution offer the greatest structural benefit to the network? (2) Is the solution the most cost effective solutions available? And, (3) Does the solution most greatly reduce the risk of critical asset failure? The application of a multi-objective genetic algorithm optimisation model, coupled with an enhanced critical risk methodology, has successfully answered these questions when applied to a case study data set provided by South West Water (UK).

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“…In addition, GAs are capable of handling discontinuous relations which becomes relevant to account for battery design restrictions. The chosen GA program was GAnetXL [13]. The P/E-ratios of the considered cells were varied and used as the chromosomes in the optimization.…”

Section: Determination Of Cost Minimum Number Of Cell Variantsmentioning

confidence: 99%

Cost Reduction through Cell Design Optimization for Vehicle Requirements-From Active Material to Vehicle Product Portfolios

Tschech¹,

Vietor²

2015

WEVJ

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The cost situation for lithium-ion batteries is one of the key limitations for the market potential of electric vehicles and has been covered by several authors from the industry and science sector. This work addresses the relation between active material properties, cell design and vehicle requirements. The results of this investigation show that the efficient use of the cell properties in the vehicle application will be decisive for the competitiveness of OEMs and battery suppliers.The center of the research is a cell model in which different active material properties, cell formats and electrode layouts can be implemented flexibly. Within a constant volume of a standardized cell housing the variation of the electrode loadings leads to relationships between the storable energy and the power of the cell. The costs determined for each specific cell design then allow describing the relation between the power to energy ratio of a cell and its energy specific costs for current and future materials.The optimal cost situation is reached when the P/E-ratio of the cell matches the required P/E-ratio of the storage system. In a broad vehicle portfolio this means a specific cell would be required for each car project. This potentially large number of cell types seems unfavorable for OEMs to handle. Therefore a genetic algorithm optimization is applied to determine the cost-optimal number and specifications of cells to address a certain vehicle portfolio. For these optimizations further restrictions such as voltage level limitations are considered as well.The tool derived from these considerations can support OEMs as well as cell & material suppliers to find the optimal modular kit for their lithium-ion cell strategy considering individual customer requirements.

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A DSS generator for multiobjective optimisation of spreadsheet-based models

Abstract: Water management practice has benefited from the development of model-driven Decision Support Systems (DSS

Cited by 103 publications

References 44 publications

A decision support system for on-line leakage localization

A decision support system for on-line leakage localization

A multi-objective optimisation model for sewer rehabilitation considering critical risk of failure

Cost Reduction through Cell Design Optimization for Vehicle Requirements-From Active Material to Vehicle Product Portfolios

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