In the Grand Duchy of Luxembourg, the residential building sector is a major energy consumer and greenhouse gases emitter that plays a key role in achieving the country’s environmental objectives. The purpose of this work is to assess the effectiveness of the most important policy instruments in decreasing the final energy consumption and direct CO₂ emissions of Luxembourgish households. To this end, we developed the LuxHEI model, which is an enhanced and upgraded version of the well-known French simulation model Res-IRF. This variant has also been adjusted to the particular problems of a small country with growing economy and a quickly increasing population. The LuxHEI model goes beyond standard energy-economy models by incorporating global warming as a decision-making factor. The model outcomes reveal that in 2060, and compared with the no-policy baseline scenario, the most aspirational policy mix enables energy savings of 42% and emission reductions of 60%. However, in none of the projections, the residential building sector meets the national energy and climate targets on time. From the results we can draw the following policy implications: for a significant improvement of the sector’s energy efficiency and sufficiency, the implementation of a remediation duty for existing buildings and the tightening of the performance standards for new constructions, together with the application of a national carbon tax, are crucial.

在卢森堡大公国，住宅建筑部门是主要的能源消耗和温室气体排放者，在实现该国的环境目标方面发挥着关键作用。这项工作的目的是评估最重要的政策工具在减少最终能源消耗和直接CO _2方面的有效性。卢森堡家庭的排放量。为此，我们开发了LuxHEI模型，该模型是法国著名的仿真模型Res-IRF的增强和升级版本。对于经济增长和人口迅速增长的小国的特殊问题，也已对该变量进行了调整。通过将全球变暖作为决策因素，LuxHEI模型超越了标准的能源经济模型。该模型的结果表明，到2060年，与无政策基准情景相比，最理想的政策组合可实现42％的能源节约和60％的减排量。但是，在所有这些预测中，住宅建筑部门都无法按时达到国家能源和气候目标。从结果中我们可以得出以下政策含义：