论文标题
不确定性 - 认知模型的预测控制对使用PVT和热量存储的住宅建筑的能源管理
Uncertainty-Cognizant Model Predictive Control for Energy Management of Residential Buildings with PVT and Thermal Energy Storage
论文作者
论文摘要
该建筑部门占全球能源消耗的近40％。这揭示了一个很好的机会，可以利用建筑物中的可再生能源来实现气候目标。在这种情况下，本文提供了一个建筑能源系统，它包含热泵，热能储能系统以及网格连接的光伏热（PVT）收集器，以最低的运行成本提供建筑物的电气和热能需求。为此，本文开发了一种随机模型预测控制（MPC）策略，以最佳确定整个建筑能源系统的设定点，同时考虑与PVT能源产生相关的不确定性。该系统使建筑物能够从高峰到非高峰时段进行1换电的需求，然后2卖电到电网以制定能量套利。
The building sector accounts for almost 40 percent of the global energy consumption. This reveals a great opportunity to exploit renewable energy resources in buildings to achieve the climate target. In this context, this paper offers a building energy system embracing a heat pump, a thermal energy storage system along with grid-connected photovoltaic thermal (PVT) collectors to supply both electric and thermal energy demands of the building with minimum operating cost. To this end, the paper develops a stochastic model predictive control (MPC) strategy to optimally determine the set-point of the whole building energy system while accounting for the uncertainties associated with the PVT energy generation. This system enables the building to 1-shift its electric demand from high-peak to off-peak hours and 2- sell electricity to the grid to make energy arbitrage.
