Since the water resources of Glen Canyon and Hoover Dam are not properly allocated and the drought conditions in the Colorado River Basin are gradually increasing, it is important to develop a reasonable water resources allocation plan for the present and future. A multi-dam joint dynamic operation model (MJDM) is introduced to study the dynamic water supply and power supply problem of the dams. Based on the dynamic simulation of combined operation of dams for water and electricity supply, we develop a multi-objective optimization model to solve the competitive scheduling problem of water and hydropower resources and provide a reasonable dynamic water resource allocation plan decision. We use simulated annealing algorithm(SA) to find out our water and electricity power supply allocation strategies and economic trend based on different scheduling periods. Finally, a sensitivity analysis is performed on the parameters related to initial water level and flow rate in the model.
A large number of by-products will occur during the transformation of ethanol to C4 olefin, resulting in the selection of the destination products that are not enough to meet industrial needs. Therefore, the selection of catalyst combinations and environmental conditions are of great significance for the preparation of C4 olefin. First of all, this paper adopts a random forest model to screen the experimental characteristics and the Grid Search is used for optimizing hyperparameters to evaluate the importance of different catalyst types to ethanol conversion rate and C4 olefin selectivity. On this basis, with the multiple regression equations established among different catalyst types, temperature and C4 olefin income as the target function, under the constraint of temperature, Co loads, Co/SiO2 and HAP quality ratio, ethanol concentration, obtain the combination of catalysts with the highest income of C4 olefin. The proportion of C4 olefin in the target product was increased. At the same time, it provides reference for exploring suitable chemical process conditions of C4 olefin.
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