Energy efficiency in building sector is attracting an increasing interest in the scientific community, due to its strong impact in terms of greenhouse gas emissions. In this context, the REMOURBAN H2020 project has carried out a pilot deep refurbishing work on a small cluster of 10 homes, implementing energy saving measures and a hybrid energy-supply system to satisfy the heating and domestic hot water demand. The system aims to achieve near-zero-energy homes level of performance at reasonable cost by offsetting the energy consumption with local energy microgeneration. It is designed as a local low temperature district heating system and includes ground source heat pumps, photovoltaic panels, electric and thermal energy storage devices. The management of the complex hybrid system requires a suitable control strategy to optimise the energy consumption and consequently running cost. With this purpose a co-simulation tool has been developed, coupling a model of the energy system built using Dymola-Modelica and the EnergyPlus model of the buildings. This allows to develop different control strategies aiming to reduce the energy consumption from the grid, maximize the self-consumption of photovoltaic energy and ultimately move away from fossil fuel to sustainable energy resources.

建筑领域的能源效率由于对温室气体排放的强烈影响，正在引起科学界的日益关注。在这种情况下，REMOURBAN H2020项目在一个由10个房屋组成的小型集群中进行了试点深层翻新工程，实施了节能措施和混合供能系统，以满足供暖和生活热水的需求。该系统旨在通过用本地能源微型发电来抵消能耗，以合理的成本实现接近零能耗的房屋性能水平。它被设计为局部低温区域供热系统，包括地源热泵，光伏面板，电能和热能存储设备。复杂混合动力系统的管理需要合适的控制策略，以优化能耗和运行成本。为此，开发了一种协同仿真工具，将使用Dymola-Modelica构建的能源系统模型与建筑物的EnergyPlus模型耦合在一起。这允许制定不同的控制策略，以减少电网的能源消耗，最大程度地利用光伏能源，并最终从化石燃料转向可持续能源。