This paper uniquely and systematically explores the relationship between energy performance of buildings and urban morphology by studying an existing urban fabric in a Mediterranean climate. The study took place in the city of Hebron which is geographically confined in area with continuous urbanization. Using (GIS), the K-means clustering technique was chosen to perform the statistical analysis. The coefficient variables of Floor Space Index (FSI), Ground Space Index (GSI), Open Space Ratio(OSR), and buildings’ height (L), were identified at the urban level to classify the urban tissue of the city. Accordingly, six urban patterns with equal area of 33,000 m2 were selected as representative samples of the different urban patterns of the city’s urban fabric. Then, a prototype building was placed in each of the selected patterns by the mean centre in the GIS based on the horizontal-vertical built density. Building energy simulation was performed using Design Builder software to assess the prototype’s performance. The results showed that the urban form plays a significant role in determining performance quality and energy demand. The results indicate that the cooling demand decreases when the ratio of (FSI) and (GSI) increases and when the (OSR) decreases, and vice versa in relation to the heating demand. Notably, Pattern 4, with (FSI) of 1.2, (GSI) of 0.6, (OSR) of 0.6, and (L) of 1.7, exhibited the highest heating demand at 40.3 kWh/m2/year, whereas Pattern 3, with (FSI) of 0.7, (GSI) of 0.3, (OSR) of 2.5, and (L) of 2.0, recorded the lowest at 18.6 kWh/m2/year. Conversely, Pattern 3 had the highest cooling demand, while Pattern 2, with (FSI) of 1.0, (GSI) of 0.3, (OSR) of 1.6, and (L) of 3.0, had the lowest cooling demand. To enhance energy efficiency, urban planners should consider increasing the (FSI) and (GSI) while managing the (OSR) to balance heating and cooling demands. Patterns with moderate (FSI) and (GSI) and higher (OSR) generally result in lower cooling demands and more efficient energy use. Enhancing the energy efficiency of cities should be tackled not only on the single building level but also on the urban scale. This should be addressed in urban regeneration, master plan,s and building regulations. Incorporating tools that consider the impact of all urban parameters can contribute to energy savings.
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