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Study On Biomass Blend Ratio Measurement And Particulate Matter Abatement In Co-firing Plants

Posted on:2016-09-18Degree:MasterType:Thesis
Country:ChinaCandidate:K Y MeiFull Text:PDF
GTID:2272330503456555Subject:Power engineering
Abstract/Summary:PDF Full Text Request
Biomass isa kind of clean and renewable energy. Biomass power generation, whichcan be divided to dedicatedfiring and co-firing, gradually becomes an appropriate way to solve environmental problems. Co-firing is more economical and suitable than dedicated onebecause biomass has lower calorific value and higher water content. However, therearesometechnicalissues restricting the popularizing of biomass co-firing. It is difficult to measurebiomass blend ratioin a co-firing boiler and the governmentcannot set a reasonable standard to subsidise the power plant. Furthermore, co-combustion of biomass and coal could generate a large number of fine particulate matters that can hardly be removed from flue gas by conventionalmethods.Experimental tests at the laboratory and onsite a municipal solid waste incinerator were carried out to investigate the the accuracy and feasibility of 14 C monitoring technology for measuringthe biomass blendratio in co-firing plants.A program was setup in order to calculate the blend ratio, as well as the mass and energy balance of a co-firing plant.Based on this program, the key influence factors that affect the accuracy of 14 C monitoring technology were identified and the error limits were studied.Fine particulate matter removal in a wet electrostatic precipitator was simulated by3 D modeling approach using Fluent. Removal efficienciesof particles between 0.01μm to 20μm were calculated.The result shows agoodagreementwith experimental results.Theoverall removal efficiency can approach to 80%. The numerical simulationimplies that wet electrostatic precipitators could effectively reduce fineparticulate matter emissions from co-firing boilers.
Keywords/Search Tags:Biomass, 14C monitoring technology, wet electrostatic precipitator, numerical simulation, tiny partic
PDF Full Text Request
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