Developing a housing stock model for evaluating energy Performance: The case of Jordan

The housing stock is the long-lasting component of the settlement structure. The dwellings make up 72% of buildings and consume around 40% of the primary energy in Jordan. The government in Jordan aims to meet the goals of Paris Agreement by 2050 toward net zero carbon. Considering its importance, this study aims to provide an approach for developing a housing stock model for Jordan to evaluate energy consumption of the residential sector at national level, as a baseline for improving the energy performance of the entire housing stock. A bottom-up approach is used to generate models of the Jordanian housing stock based on available buildings datasets. The generated 21 archetype models are analysed and used to evaluate the energy consumption of the national housing stock. Two archetype models represent the highest contribution, more than 80%, of annual energy use from the entire housing stock. The uncertainty analysis figures out that the 8.3% discrepancy between the baseline results and the measured data, for the entire stock, can be explained by the expected variation in input data. The study can provide policymakers with valuable insights into the energy performance of Jordan's housing stock and inform the development of effective policies and strategies to reduce energy consumption and promote sustainable development. For example, it can assist in identifying the most effective interventions for refurbishment of different archetypes in the current stock, and the improvements required in new-build dwellings and thereby facilitate the transition to a low-carbon building stock in Jordan.