基于模糊层次分析的燃煤电厂脱硫废水处理可利用技术评价

doi:10.16085/j.issn.1000-6613.2018-0210

摘要/Abstract

摘要： 至2015年左右，我国电力行业的大气污染物控制已经随着最新大气控制要求整治完毕，环境治理重点开始逐步转向水污染防控。燃煤电厂全厂水处理包括水污染物去除、水资源回用、减少取水和排水，该领域问题开始上升为主要的环境难题。燃煤电厂脱硫废水是全厂终端废水，其悬浮物、化学需氧量、重金属、无机盐污染物浓度高，对环境危害大。本文根据工程技术方案评价中常用的模糊层次分析（FAHP）模型，对不同的脱硫废水处理技术进行了详细的建模、影响因素选取及模型计算过程研究，得出了几种参评脱硫废水处理技术的优劣综合排序以及最佳可利用技术，以期对燃煤电厂脱硫废水深度处理的方案选择提供参考。

关键词: 燃煤电厂, 脱硫废水, 废水处理技术, 模糊综合评价

Abstract: To 2015 years or so, the control of atmospheric pollutants in China's power industry has been rectified with the latest atmospheric control requirements, and the focus of environmental management has gradually turned to water pollution prevention and control. The whole plant water treatment of coal-fired power plant includes pollutant removal, water resource reuse, reducing water intake and drainage, problems in this area began to rise as major environmental problems. The desulfurization wastewater of coal-fired power plant is the whole plant terminal wastewater, its suspended substance, chemical oxygen demand, heavy metal and inorganic salt pollutant have high concentration, which is harmful to the environment. In this paper, according to the fuzzy analytic hierarchy process(FAHP) model in the evaluation of engineering technical scheme, the different desulfurization wastewater treatment technologies were modeled. The influencing factors were selected and the model was calculated. The comprehensive sequencing of several desulfurization wastewater treatment technologies and the best available technology were obtained. It can provide a reference for the scheme selection of the desulfurization wastewater treatment in coal-fired power plant.

Key words: coal power plant, desulfurization wastewater, treatment technology, fuzzy comprehensive evaluation

中图分类号:

X703.1

马双忱, 范紫瑄, 温佳琪, 马岚, 赵保华, 张金柱, 孙尧. 基于模糊层次分析的燃煤电厂脱硫废水处理可利用技术评价[J]. 化工进展, 2018, 37(11): 4451-4459.

MA Shuangchen, FAN Zixuan, WEN Jiaqi, MA Lan, ZHAO Baohua, ZHANG Jinzhu, SUN Yao. Evaluation on technology of desulfurization wastewater from coal-fired power plant based on fuzzy AHP[J]. Chemical Industry and Engineering Progress, 2018, 37(11): 4451-4459.

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