Energy Management Optimization of Open-Pit Mine Solar Photothermal-Photoelectric Membrane Distillation Using a Support Vector Machine and a Non-Dominated Genetic Algorithm

Abstract

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 prediction 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.

Harnessing artificial intelligence for data-driven energy predictive analytics: A systematic survey towards enhancing sustainability

“…According to the numerical findings, the "relevant data" modeling strategy, depending on limited representative data selection, predicted heating energy demand more accurately (R2 = 0.98; RMSE = 3.4) compared to the "all data" modeling method (R2 = 0.93; RMSE = 7.1) (Paudel et al, 2017). In an investigation conducted by Sai et al (Sai et al, 2020), an upgraded SVM was employed and the fitting prediction model was inserted into the response surface approach for the relation between the desired value and the variable. Interestingly, a set of optimum operating conditions for the solar membrane distillation system could be achieved after the optimization using SVM fitting as well as an NSGA-II multi-goal optimization technique.…”

“…For the link between the variable and the goal value, Sai et al (Sai et al, 2020) employed an SVM with enhanced fitting and inserted the fitting forecast model into the response surface approach. Following collaborative analysis, the model was fed into a non-dominated sorting genetic algorithm-II.…”

“…Following collaborative analysis, the model was fed into a non-dominated sorting genetic algorithm-II. In addition, following the optimization operation, the optimum working conditions for enhancing the operating efficacy of the solar membrane distillation system were obtained, allowing open-pit mine prosumers to conduct smart management of producing, storing, and consuming solar energy at the same time (Sai et al, 2020). In a study by Azam et al (Fuadi et al, 2021), electricity usage was forecasted as part of the intelligent power grid development and electrification network information enhancement with the goal of performing energy management.…”

Optimization of Management Mode of Small- and Medium-Sized Enterprises Based on Decision Tree Model

“…At present, China is paying more and more attention to the application method of performance appraisal and is working together to realize a fair, scientific, and effective performance appraisal system. For data mining algorithms, although China started late, in recent years, it has made very significant achievements, in the Internet industry, financial industry, meteorological analysis, e-commerce, and other fields [16]. And major universities have also invested a lot of energy to further explore the value of the method and more in-depth study of the principles of these algorithms.…”

Design of Multijunction Solar Cells Based Potable Water Purification System using Cationic Polyacrylamide Alum Lime and Ozone to Remove Covid-19

“…Overall, world 71% of water is covered, just 2.5% of fresh water is available to drink, different technologies; are used for this purpose multistage flash, multistage electrolysis osmosis process, ion exchange, ion exchange method is required more energy. To overcome this costly energy evacuated tube is used to get heat and boil the water; solar energy is an everlasting and economical source of energy [13], [14].Ozone gas is a useful for many applications such as sterilizations of equipment and removes the odor with the strong oxidizing power with less effect on environment.…”