• Energy management optimization of open-pit mine solar photothermal-photoelectric membrane distillation using a support vector machine and a non-dominated genetic algorithm

      Zhang, Sai; Lu, Caiwu; Jiang, Song; Lu, Shan; Crabbe, M. James C.; Xiong, Neal Naixue; Xi'an University of Architecture and Technology; Hong Kong University of Science and Technology; Oxford University; University of Bedfordshire; et al. (Institute of Electrical and Electronics Engineers, 2020-08-25)
      As a distributed energy source, open-pit mine solar photothermal-photoelectric membrane distillation can convert solar energy into heat and electrical energy to provide power for membrane distillation water purification system. In mine sewage treatment, the solar membrane distillation system has the advantages of high desalination rate, good water quality and low cost. However, this system has not been widely promoted and applied because of its high energy consumption and low membrane flux. Different operating parameters have a greater impact on the operating efficiency of the solar membrane distillation system. In this study, a natural cooling film distillation system was built, and the response surface method was used to analyze it, and a multi-objective optimization algorithm was used to optimize the operating conditions and improve the energy efficiency of the system. In our experiment, the hot end feed temperature, hot end feed flow rate, cold end cooling water flow rate, and membrane area were used as variables, and the membrane flux, thermal efficiency, and energy consumption values were investigated as target values. We used a support vector machine (SVM) with improved fitting, and substituted the fitting rediction model into the response surface method for the relationship between the variable and the target value collaborative analysis was followed by substituting the model into a non-dominated sorting genetic algorithm-II (NSGA-II). After the optimization operation, the optimal working conditions were obtained to improve the operating efficiency of the solar membrane distillation system, which will enable open-pit mine prosumers to realize intelligent management of solar energy generation, storage and consumption simultaneously.
    • Models for oil refinery waste management using determined and fuzzy conditions

      Zhumadillayeva, Ainur; Orazbayеv, Batyr; Santeyeva, Saya; Dyussekeyev, Kanagat; Li, Rita Yi Man; Crabbe, M. James C.; Yue, Xiao-Guang; L.N.Gumilyov Eurasian National University, Kazakhstan; Hong Kong Shue Yan University; Rajamangala University of Technology Rattanakosin, Thailand; et al. (MDPI, 2020-06-03)
      This study developed models to solve problems of optimisation, production, and consumption in waste management based on methods of system analysis. Mathematical models of the problems of optimisation and sustainable waste management in deterministic conditions and in a fuzzy environment were formulated. The income from production was maximised considering environmental standards that apply to the field of macroeconomics and microeconomics. The proposed approach used MANAGER software to formalise and solve the problem of revenue optimisation with production waste management to optimise the production of oil products with waste management at a specific technological facility of the Atyrau oil refinery in Kazakhstan. Based on the combined application of the principles of maximin and Pareto optimality, a formulation of the problem of production optimisation with waste management was obtained and a heuristic algorithm for solving the formulated fuzzy optimisation problem with waste management was developed.