Clustering evaluation of energy efficiency in the inlet pump room based on BP-DEMATEL and improved CRITIC method

China would successively release implementation plans and supporting measures for major areas and industries to achieve 'carbon peak and carbon neutrality'. Accordingly, the sewage treatment industry has to push energy and industrial structure transformation and upgrading. Whether the inlet pump room can perform effectively, and energy-savingly, will directly impact the economic operation of the whole enterprise. This paper seeks to build a complete energy efficiency assessment model for the pump room. Firstly, the calculation and standard range of five relevant indicators are carried out. Secondly, the indicator weight algorithm of BP-DEMATEL and improved CRITIC technique is proposed, and the linear coupling weighting is adopted according to minimal discernment information. Alternatively, an OPTICS clustering approach based on Bayes optimisation is also presented to obtain the range for four operating conditions. Finally, empirical research is carried out on the case of the pump room in Shanghai. The researched model may greatly increase the assessment performance, giving the scientific reference value for the optimisation of the pump room renovation.