汽車和新型產(chǎn)業(yè)裝備的應(yīng)用于制造(編輯修改稿)
2025-07-23 05:09 本頁面
【文章內(nèi)容簡介】 al technologies. Among these possible options, MSW may be treated in order to obtain a fuel to be sold to third party users or directly utilized to generate electricity provided it is of sufficient quality to be employed instead of traditional fuels. In this twopart paper the problem of producing refuse derived fuel (RDF) having a high heating value (LHV4000 kcal/kg) has been examined from a technical and economic viewpoint. In the first part article a technical assessment of production plants is carried out. Different production lines have been thus pared in terms of mass efficiency, heating value of produced RDF and treatment cost highlighting how the choice of process equipment affects the system performances. As a result the process plant configurations enabling to meet the required product specifications are identified. The influence of mixing a high calorific waste such as scrap tires with the stream of household waste, in the limits allowed by current regulation, has been also analyzed and found to be a prerequisite to meet the prescribed heating value target. Economic feasibility and financial risk of RDF production plants have been successively evaluated in the second part article over a capacity range of 25–200 t/h considering also integrated facilities including post production and/or electricity generation. The analysis has been carried out with reference to the current Italian market scenario even if it has a general applicability and its relevance is wider geographically.Fuzzy controls for maintenance scheduling in transportation systemsOriginal Research ArticleAutomaticaScheduling of periodic maintenance for transportation equipment can often be acplished by controlling the utilization of individual vehicles. Because of many random effects and due to the plexity of most schedules it is virtually impossible to achieve a precise match between the prescribed and the actual utilization for each vehicle. Instead of asking the dispatcher to do the impossible, the approach described in this paper prescribes only fuzzy targets for vehicle utilization. A feedback loop adjusts the targets periodically based on the actual utilization. A second feedback loop monitors the general performance of the dispatcher and provides a basis for selflearning features of the system. Experimental results about the effectiveness of the fu
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