Grey relational analysis for comparative assessment of different cathode materials in microbial electrolysis cells

Kadier, Abudukeremu; Abdeshahian, Peyman; Simayi, Yibadatihan; Ismail, Manal; Hamid, Aidil Abdul; Kalil, Mohd Sahaid

doi:10.1016/j.energy.2015.06.108

Cited by 108 publications

(44 citation statements)

References 35 publications

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“…33 The parameter data a ij preprocessed by Min-Max normalization can be expressed by matrix A (Equation 3), and the same operation is conducted for the entropy weight and Euclidean distance methods. 33 The parameter data a ij preprocessed by Min-Max normalization can be expressed by matrix A (Equation 3), and the same operation is conducted for the entropy weight and Euclidean distance methods.…”

Section: Gray Relational Analysismentioning

confidence: 99%

“…However, unfortunately, there have been, at present, few studies on the selection of favorable shale gas regions by these methods, even though they are frequently used in the shale gas development, as well as economic and policy assessment. 33 There is a lack of quantification and comparative research about the various evaluation methods, and the shale gas selection methodology must be improved in terms of quantification, systematics, practicality, and comprehensiveness. 29 Subjective weights can be determined by an Analytic Hierarchical Process 30 or expert consultation method (Delphi feedback method), 31 whereas the objective weights can be calculated by, for example, the entropy weight method, 29,31,32 coefficient of variation method, 32 and gray relational analysis.…”

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confidence: 99%

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Approaches for the evaluation of favorable shale gas areas and applications: Implications for China's exploration strategy

Zhang

Tang

et al. 2019

Energy Science & Engineering

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To explore practical approaches for the evaluation of favorable shale gas areas, a structural decomposition analysis with respect to the index system, evaluation criteria, weight determination, and evaluation methods was carried out. Five types of indexes were determined from 25 subindexes that formed the index system, and improved whitenization weight functions are proposed to establish evaluation criteria. The index weights calculated using entropy weight and Euclidean distance methods are consistent, whereas the weights determined by gray relational analysis are significantly affected by the relative number of indexes and evaluation objects, selected mother factor, and resolution coefficient. The significant linear positive correlation between the relative approach degree values calculated using TOPSIS and the scores obtained using fuzzy comprehensive evaluation (FCE) is indicative of a consistent evaluation result, but it should be noted that extreme indicator values can have strong effects on the evaluation using the fuzzy similarity method. Finally, an exploration strategy for China's shale gas is suggested: Areas with weak reformation and relatively low maturity are expected to be favorable for marine shale production in South China, and continental and transitional shale‐bearing basins are promising for the prospecting multiple‐origin shale gas and coal measure gas, respectively.

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Section: Gray Relational Analysismentioning

confidence: 99%

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confidence: 99%

Approaches for the evaluation of favorable shale gas areas and applications: Implications for China's exploration strategy

Zhang

Tang

et al. 2019

Energy Science & Engineering

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“…It has been widely applied into impact factor analysis [30], scheme decision-making [31], and comprehensive assessments [32]. In this work, the improved grey relational analysis is adopted to analyze the orthogonal experimental results.…”

Section: Grey Relational Analysismentioning

confidence: 99%

CFD Simulations to Study Parameters Affecting Gas Explosion Venting in Compressor Compartments

Cen

Song

Huang

et al. 2017

Mathematical Problems in Engineering

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In this work, a series of vented explosions in a typical compressor compartment are simulated using FLACS code to analyze the explosion venting characteristics. The effects of relevant parameters on the pressure peaks (i.e., overpressure and negative pressure) are also numerically investigated, including vent area ratio of the compressor compartment, vent activation pressure, mass per unit area of vent panels, and volume blockage ratio of obstacles. In addition, the orthogonal experiment design and improved grey relational analysis are implemented to evaluate the impact degree of these relevant parameters. The results show that the pressure peaks decrease with the increase of vent area ratio. There is an approximately linearly increasing relationship between the pressure peaks and the vent activation pressure. The pressure peaks increase with the mass per unit area of vent panels. The pressure peaks increase with the volume blockage ratio of obstacles. Based on the grey relational grade values, the effects of these relevant parameters on the overpressure peak are ranked as follows: volume blockage ratio of obstacles > vent activation pressure > vent area ratio > mass per unit area of vent panels. These achievements provide effective guidance for the venting safety design of gas compressor compartments.

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“…Industrial structure is represented by the proportion of the local economy accounted for by secondary industry. The procedures of grey relational analysis are as follows [40]:…”

Section: Gm(11) Modelmentioning

confidence: 99%

An Improved Grey Model and Scenario Analysis for Carbon Intensity Forecasting in the Pearl River Delta Region of China

Xie

Zhang

et al. 2018

Energies

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Abstract:In this paper, an improved grey model and scenario analysis, GA-GM(1,N) is proposed to forecast the carbon intensity in the Pearl River Delta (PRD) region, one of the most developed regions in China. Moreover, to show the advantage and feasibility of the proposed model, the forecasting results of the GA-GM(1,N) model are compared with that of a single-variable grey model (GM (1,1)) and a multivariable form (GM(1,N)). Data from one sample period (2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012) are used to develop the models, and data from another sample period (2013)(2014)(2015) are used to test them. The mean absolute percentage error (MAPE) is applied to measure the accuracy of prediction. The results show that, of the three models, GA-GM(1,N) produces the best carbon intensity forecasts, with MAPEs of 0.4-1.4% and 0.04-0.4% in the development and testing periods respectively. This indicates that the optimization of the genetic algorithm is effective. The realization of carbon reduction targets in different cities is also explored by combining grey models with scenario analysis. Only Guangzhou could achieve its reduction target under all scenarios, and it can serve as a reference for other cities. Policy recommendations are provided based on these results.

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Grey relational analysis for comparative assessment of different cathode materials in microbial electrolysis cells

Cited by 108 publications

References 35 publications

Approaches for the evaluation of favorable shale gas areas and applications: Implications for China's exploration strategy

Approaches for the evaluation of favorable shale gas areas and applications: Implications for China's exploration strategy

CFD Simulations to Study Parameters Affecting Gas Explosion Venting in Compressor Compartments

An Improved Grey Model and Scenario Analysis for Carbon Intensity Forecasting in the Pearl River Delta Region of China

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