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Heat Transfer

01 Mar 1970-
About: The article was published on 1970-03-01 and is currently open access. It has received 325 citations till now. The article focuses on the topics: Heat transfer.
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Journal ArticleDOI
TL;DR: In this article, the effect of thermal radiation and heat transfer on the flow of ferromagnetic fluid on a stretching sheet was investigated and a numerical solution was obtained and the effects of magnetic dipole and thermal radiation on dimensionless velocity, temperature, pressure, skin friction and Nusselt number were illustrated graphically.

274 citations

Journal ArticleDOI
01 Dec 1989-Fuel
TL;DR: In this article, a comprehensive mathematical model and computer program to simulate a fluidized bed boiler or a fluidised bed gasifier have been developed, which can predict several important parameters that describe the operation of the equipment such as: composition and temperature profiles for all gas and solid phases in the bed and freeboard; solid particle size distributions at any point; heat transfer between all phases and tubes or walls at any points; gas pressure losses, etc., as well as the usual engineering equipment performance data.

177 citations

Journal ArticleDOI
TL;DR: In this article, an approach was proposed to predict hydrogen production via biomass gasification in a range of 10-32 kg/s from biomass (sawdust wood), where the biomass is introduced to a gasifier at an operating temperature range of 1000-1500 K.

175 citations

Journal ArticleDOI
TL;DR: Algorithms whose resource needs grow only linearly with problem size are developed, which will fully exploit the ‘parallel-processing’ capability available in the new generation of multi-processor computers.

155 citations

Journal ArticleDOI
TL;DR: In this paper, a general overview of gasification models available, with emphasis on those based on the stoichiometric method, is presented, where the influence of a number of parameters has to be investigated or a choice of the optimal biomass to be treated for a certain scope is to be made.
Abstract: Worldwide escalating energy consumption of recent years, due to the earth population growth and the spreading of industrialization, has resulted in an increased concern about the environmental impact of energy conversion systems. Heavy exploitation and extensive use of fossil fuels have indeed also led to envisage their foreseeable depletion, thus opening the way to the use of alternative fuels as biomass. Among thermo-chemical treatments of biomass, gasification is particularly attractive for its release of syngas (or producer gas), suitable of being used in various combustion systems, including internal combustion engines. In principle, biomass contaminants and heavy hydrocarbons can be removed during syngas cleaning, before the actual combustion process, thus leading to an overall cleaner conversion process. At present, demonstrating operational feasibility and effectiveness of gasification technologies and proving long term sustainability, also through the enhancement of fuel flexibility, are recognized as key elements for the development and market diffusion of biomass energy systems. In fact, although gasification has been known for a long time, its control has long requested serious efforts by researchers and manufacturers. Nowadays, new perspectives are imaginable thanks to the use of simulation tools that may reveal particularly useful to improve gasification efficiency and increase the quality of the producer gas. In recent years, several numerical models have been indeed proposed to characterise and predict such a complex process, where drying, pyrolysis, gasification and combustion take place simultaneously. This article presents a general overview of gasification models available, with emphasis on those based on the stoichiometric method. Although this last may seem too restrictive under some circumstances, equilibrium models are useful to predict the maximum yield attainable by a reagent system, since they reproduce an ideal gasification performance. Due to their simplicity and the reduced computational time, these models are suitable of being employed in a first stage of an analysis or within optimization procedures, where the influence of a number of parameters has to be investigated or a choice of the optimal biomass to be treated for a certain scope is to be made.

137 citations