Hazard Assessment for Biomass Gasification Station Using General Set Pair Analysis

Hazard assessment is critical for a biomass gasification station because it includes various hazardous factors. Set pair analysis (SPA) is a convenient and effective method for hazard assessment, but it has limitations, including (1) the inability to reflect the difference when the data belong to the same hazard grade and (2) the assessment results lack precision and accuracy. This study proposes an improved method designated as general set pair analysis (GSPA). Connection measure degree (CMD), which is based on the cosine function, as well as weighting deviation degree (WDD), relative membership degree (RMD), and comprehensive index (CI) were proposed in GSPA, and the algorithms were generated. The calculated results of these different methods can be utilized to overcome the shortcomings of SPA during hazard assessment. A case study of two biomass gasification stations in Shenyang City, Liaoning Province, Northeast China, was performed. The hazard assessment results of the GSPA were compared with those of SPA. The results showed that GSPA is a more effective, precise, and accurate method for hazard assessment of a biomass gasification station.

[1]  Jin Tao,et al.  Multifunctional assessment and zoning of crop production system based on set pair analysis-A comparative study of 31 provincial regions in mainland China , 2014, Commun. Nonlinear Sci. Numer. Simul..

[2]  Yanpeng Cai,et al.  Risk assessment of water pollution sources based on an integrated k-means clustering and set pair analysis method in the region of Shiyan, China. , 2016, The Science of the total environment.

[3]  Chongfu Huang.  Fuzzy risk assessment of urban natural hazards , 1996, Fuzzy Sets Syst..

[4]  Tiegang Fang,et al.  Engine performance, combustion, and emissions study of biomass to liquid fuel in a compression-ignition engine , 2015 .

[5]  Chao Zhou,et al.  Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHP , 2013, Stochastic Environmental Research and Risk Assessment.

[6]  Robert C. Brown,et al.  Ancillary equipment for biomass gasification , 2002 .

[7]  M. S. Guettouche,et al.  Landslide hazard mapping in the Constantine city, Northeast Algeria using frequency ratio, weighting factor, logistic regression, weights of evidence, and analytical hierarchy process methods , 2016, Arabian Journal of Geosciences.

[8]  Dandan Wang,et al.  Operating mechanism and set pair analysis model of a sustainable water resources system , 2015, Frontiers of Environmental Science & Engineering.

[9]  C. Muraleedharan,et al.  Thermo-Chemical Analysis of Biomass Gasification by Gibbs Free Energy Minimization Model-Part: II (Optimization of Biomass Feed and Steam to Biomass Ratio) , 2013 .

[10]  Yiwu Weng,et al.  Safety Analysis of a Solid Oxide Fuel Cell/Gas Turbine Hybrid System Fueled With Gasified Biomass , 2015 .

[11]  Paris A. Fokaides,et al.  A Review of Quantification Practices for Plant-Derived Biomass Potential , 2015 .

[12]  Xiaoyan Dai,et al.  Prediction analysis model of integrated carrying capacity using set pair analysis , 2016 .

[13]  Krishna Prasad Vadrevu,et al.  Fire risk evaluation using multicriteria analysis—a case study , 2010, Environmental monitoring and assessment.

[14]  Sten Bay Jørgensen,et al.  Taking Credit for Loss Control Measures in the Plant with the Likely Loss Fire and Explosion Index (LL-F&EI) , 2007 .

[15]  Yanpeng Cai,et al.  A hybrid life-cycle and fuzzy-set-pair analyses approach for comprehensively evaluating impacts of industrial wastewater under uncertainty , 2014 .

[16]  Bin Chen,et al.  Urban ecosystem health assessment based on emergy and set pair analysis—A comparative study of typical Chinese cities , 2009 .

[17]  Ting Wang,et al.  Entropy weight-set pair analysis based on tracer techniques for dam leakage investigation , 2015, Natural Hazards.

[18]  Yuyu Liu,et al.  River ecosystem assessment and application in ecological restorations: A mathematical approach based on evaluating its structure and function , 2015 .

[19]  Yuesi Wang,et al.  Estimation of emissions from field burning of crop straw in China , 2008 .

[20]  Xuhong Yang,et al.  Determining the effects of land consolidation on the multifunctionlity of the cropland production system in China using a SPA-fuzzy assessment model , 2015 .

[21]  J. Cherni,et al.  Renewable energy policy and electricity market reforms in China , 2007 .

[22]  Juliang Jin,et al.  A new approach to water resources system assessment — set pair analysis method , 2009 .

[23]  Jun Yu Li,et al.  A Novel Model of Set Pair Analysis Coupled with Extenics for Evaluation of Surrounding Rock Stability , 2015 .

[24]  Shunkun Yu,et al.  Development mode for renewable energy power in China: Electricity pool and distributed generation units , 2015 .

[25]  J. P. Gupta,et al.  Calculation of Fire and Explosion Index (F&EI) value for the Dow Guide taking credit for the loss control measures , 2003 .

[26]  Jun Guo,et al.  Fuzzy risk analysis of flood disasters based on diffused-interior-outer-set model , 2012, Expert Syst. Appl..

[27]  Bingxi Li,et al.  Model development for biomass gasification in an entrained flow gasifier using intrinsic reaction rate submodel , 2016 .