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首页> 外文会议>Geothermal Resources Council Annual Meeting Expo >Multi-Objective Optimization of Heat Extraction from Multilateral-Well Geothermal Energy System
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Multi-Objective Optimization of Heat Extraction from Multilateral-Well Geothermal Energy System

机译：多边井地热能系统热萃取多目标优化

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Operational parameter optimization is of great significance to improve overall heat extraction performance from hydro thermal or enhanced geothermal systems. Injection flowrate/temperature and production pressure are relatively easy to control to optimize the exploitation of geothermal resources during the planned reservoir lifetime. The net heat power and flow impedance are two contradictory production indexes for describing the exploitation effect. One indicates energy efficiency from reservoirs, the other represents the mining difficulty or artificial energy input. In this study, a multi-objective optimization procedure is proposed and applied to a synthetic multilateral-well system for 30 years. Firstly, a multilateral-well geothermal model coupled with thermal and hydraulic parameters is established. Then, a multiple regression method is employed to obtain the net heat power and flow impedance functions with injection/production parameters and physical properties of the reservoir. Finally, a multi-objective genetic algorithm is used to gain a Pareto solution set of injection and production parameters. A comparison with the base case indicates the superiority, high efficiency, and intelligence of multi-objective optimization.
机译：操作参数优化具有重要意义，可以提高水力热或增强地热系统的整体热提取性能。注射流量/温度和生产压力相对容易控制，以优化在计划水库寿命期间的地热资源开采。净热功率和流量阻抗是两个矛盾的生产指标，用于描述剥削效果。一个表示从储存器中的能效，另一个代表挖掘难度或人工能量输入。在该研究中，提出了一种多目标优化程序并将其应用于合成的多边井系统30年。首先，建立与热和液压参数相结合的多边井地热模型。然后，采用多元回归方法来获得具有喷射/生产参数和储存器的物理性质的净热功率和流量阻抗函数。最后，使用多目标遗传算法来获得帕累托解决方案集的注射和生产参数。与基本情况的比较表明了多目标优化的优越性，高效率和智能。

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