标题： 一种用于井筒热能存储预测控制的轻量级数值模型 显示英文标题

标题： A lightweight numerical model for predictive control of borehole thermal energy storages

摘要： 钻孔地热能储存（BTES）可以减少建筑物中基于化石燃料的供暖、通风和空调系统的运行。 通过地下钻孔换热器，热能被储存起来。 模型预测控制（MPC）可以通过建筑与BTES之间的动态交互来最大化BTES的使用。 然而，为MPC建模BTES具有挑战性，必须在模型精度和易于求解的最优控制问题（OCP）之间找到平衡。 本论文提出了一种精确的数值模型，生成了一个易于求解的线性二次OCP。 显示英文摘要

摘要： Borehole thermal energy storage (BTES) can reduce the operation of fossil fuel-based heating, ventilation, and air conditioning systems for buildings. With BTES, thermal energy is stored via a borehole heat exchanger in the ground. Model predictive control (MPC) may maximize the use of BTES by achieving a dynamic interaction between the building and BTES. However, modeling BTES for MPC is challenging, and a trade-off between model accuracy and an easy-to-solve optimal control problem (OCP) must be found. This manuscript presents an accurate numerical model yielding an easy-to-solve linear-quadratic OCP.