非线性优化模型下的定日镜场的优化设计
Nonlinear Optimization Design of Heliostat Field Based on Greedy Algorithm
王倩倩 1李一丁 1房艺林 1曲红沈1
作者信息
- 1. 黄河科技学院 应用技术学院,河南 郑州 450063
- 折叠
摘要
为了实现"碳中和",新型能源的使用一直都是我国的发展战略.塔式太阳能光热发电是一种环保的新型清洁能源的技术.研究定日镜场在角度、距离、大气透射率、纬度、太阳入射角度等复杂约束条件下,通过建立太阳计算模型和多元非线性优化模型,实现了平均输出热功率尽可能大的目标.
Abstract
In order to achieve"carbon neutrality",the utilization of new energy sources has consistently been a key component of China's development strategy.Tower solar thermal power generation is an environmentally friend-ly new clean energy technology.This article studies the field of heliostats under complex constraints such as angle,distance,atmospheric transmittance,latitude,and solar incidence angle.By establishing a solar calculation model and a multivariate nonlinear optimization model,the goal of maximizing the average output thermal power is a-chieved.
关键词
太阳计算模型/非线性规划优化模型/贪心算法/fmincon约束Key words
solar computing model/nonlinear programming optimization model/greedy algorithm/fmincon con-straint引用本文复制引用
出版年
2024
NETL
NSTL
万方数据