Roure Robin, Chèze David, Vallée Mathieu
Univ. Grenoble Alpes, CEA, Liten, INES, 7337, Le-Bourget-du-Lac, France.
Open Res Eur. 2023 May 17;3:17. doi: 10.12688/openreseurope.14992.2. eCollection 2023.
Heating and cooling in buildings represents a significant amount of the energy demand in the EU, but the market penetration of renewable solutions is still marginal. The SunHorizon project aims at proving the viability and benefits of innovative coupling between heat pumps and various advanced solar panels. This study focuses on the optimal operation strategies of a technological package located in Latvia, and composed of hybrid photovoltaic thermal (PVT) panels, a gas driven heat pump and a hot water storage tank. In this work, a model predictive control is developed, based on mixed integer linear programming (MILP) optimization. This model uses innovative elements compared to traditional model predictive control (MPC), with environmental indicators for the Latvian electricity grid accounting for imports, co-simulation with TRNSYS using the transmission control protocol (TCP) and modelling of long-term storage for long and short-term decisions. The usual minimization of costs is compared to two new optimization approaches, which aims to minimize greenhouse gas (GHG) emissions and maximizing renewable use and self-consumption. The results of the optimization of costs and GHG emissions show that gains can be found within the variations in time series related to the electricity grid, but the overall operation strategies remain similar. Optimization of renewable share and self-consumption is another path for control strategy, but with less economic and environmental performance.
建筑物的供暖和制冷占欧盟能源需求的很大一部分，但可再生解决方案的市场渗透率仍然很低。SunHorizon项目旨在证明热泵与各种先进太阳能板创新耦合的可行性和益处。本研究聚焦于位于拉脱维亚的一个技术组合的最优运行策略，该组合由混合光伏-热（PVT）板、燃气驱动热泵和热水储存罐组成。在这项工作中，基于混合整数线性规划（MILP）优化开发了一种模型预测控制。与传统模型预测控制（MPC）相比，该模型采用了创新元素，包括考虑进口的拉脱维亚电网环境指标、使用传输控制协议（TCP）与TRNSYS进行联合仿真以及针对长期和短期决策的长期储存建模。将通常的成本最小化与两种新的优化方法进行比较，这两种新方法旨在将温室气体（GHG）排放降至最低，并最大限度地提高可再生能源的使用和自消耗。成本和温室气体排放优化结果表明，在与电网相关的时间序列变化中可以找到收益，但总体运行策略仍然相似。可再生能源份额和自消耗的优化是控制策略的另一条途径，但经济和环境性能较低。
