中国有色行业节能减排技术先进适用性的可变模糊测度与评价

VariableSfuzzySmeasureSandSevaluationSofStheSadvancedSapplicabilitySofSenergySconservationSandSemissionSreductionStechnologySinSChina

摘要:

有色行业节能减排对于中国兑现减排承诺具有重要意义。以铜冶炼行业为例,选择了应用范围最广的富氧熔池熔炼技术为研究对象,参照国家标准、行业标准,确定了富氧熔池熔炼节能减排技术先进适用性的评价指标体系及其分级标准,并采用基于组合权重的可变模糊测度及评价模型对富氧熔池熔炼节能减排技术的先进适用性进行了测度与评价。实例分析表明,艾萨熔炼、瓦纽科夫法、氧气底吹熔炼、白银炼铜法、诺兰达炼铜法的先进适用性等级分别为：Ⅱ、Ⅲ、Ⅱ~Ⅲ、Ⅱ~Ⅲ和Ⅲ级,评价结果优于综合模糊评价模型,且符合中国铜冶炼技术实际情况。因此,可以利用可变模糊测度及评价模型方法指导各省市进行节能减排技术引进和改造实践。

关键词:富氧熔池熔炼;节能减排;先进适用性;可变模糊;评价

Abstract:

Energy conservation and emission reduction in nonferrous industry is of great significance to fulfill China’s commitment to energy conservation and emission reduction. This paper took copper smelting industry as an example and chose the widely used oxygen-enriched melting technology as the object. According to national standards and industry standard, this paper determined an evaluating indicator system and its classification standards of the advanced applicability of energy conservation and emission reduction of smelting technology in oxygen-enriched melting bath. Meanwhile, it adopted a variable fuzzy measurement and evaluation model based on combined weight to measure and evaluate the advanced applicability of energy conservation and emission reduction of smelting technology in oxygen-enriched melting bath. Case analysis indicated that the rating of the advanced applicability of Isasmelt, oxygen-enriched side-blown bath smelting, oxygen bottom-blown smelting, Baiyin copper smelting process and Noranda copper smelting method are respectively Ⅱ, Ⅲ, Ⅱ~Ⅲ, Ⅱ~Ⅲ and Ⅲ. The evaluation outcome was superior to comprehensive fuzzy evaluation model, and it met the actual situation of copper smelting technology in China. Therefore, analytic results of the variable fuzzy measurement and evaluation model can provide a reference for the introduction and practice in different provinces and cities of energy conservation and emission reduction technologies.

Key words:oxygen-enriched bath smelting; energy conservation and emission reduction; advanced applicability; variable fuzzy; evaluation