Outputs (5)

Predicting solar radiation with Artificial Neural Network based on urban geometrical classification (2021)
Conference Proceeding
Lila, A. (2021). Predicting solar radiation with Artificial Neural Network based on urban geometrical classification. In 17th International IBPSA Building Simulation conference. Book of Abstracts (335-336)

This research introduces the adaptation and development of an open source Artificial Neural Network (ANN) with the aim of predicting solar radiation falling on buildings for newly generated neighbourhoods in Aswan, Egypt as an example of a hot arid z... Read More about Predicting solar radiation with Artificial Neural Network based on urban geometrical classification.

Classifying urban geometry impact on solar radiation (2019)
Conference Proceeding
Lila, A., & Lannon, . S. (2019). Classifying urban geometry impact on solar radiation. In V. Corrado, E. Fabrizio, A. Gasparella, & F. Patuzzi (Eds.), Building Simulation 2019 (3406). https://doi.org/10.26868/25222708.2019.210595

This research introduces a novel way of classifying the built environment based on its geometrical features and its surroundings and link the classified buildings to its environmental performance. These features consist of urban block orientation wit... Read More about Classifying urban geometry impact on solar radiation.

The effect of reducing geometry complexity on energy simulation results (2018)
Conference Proceeding
Chatzivasileiadi, A., Lila, A., Lannon, S., & Jabi, W. (2018). The effect of reducing geometry complexity on energy simulation results. In Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference (559-568). https://doi.org/10.52842/conf.ecaade.2018.2.559

Accuracy and time are metrics inherently associated with the design process and the energy performance simulation of buildings. The accurate representation of the building is an essential requirement for energy analysis, which comes with the expense... Read More about The effect of reducing geometry complexity on energy simulation results.

A parametric sensitivity analysis of the impact of built environment geometrical variables on building energy consumption (2017)
Conference Proceeding
Lila, A., & Lannon, S. (2017). A parametric sensitivity analysis of the impact of built environment geometrical variables on building energy consumption. In Proceedings from the 33 International Conference PLEA2017 : Design to Thrive : Volume 1 (2092)

The growth of urban communities creates the need for analytical frameworks that have a multiobjective and holistic approach. It is important to integrate these frameworks within commonly used architectural tools. The urban environment is mostly desig... Read More about A parametric sensitivity analysis of the impact of built environment geometrical variables on building energy consumption.

Holistic sensitivity analysis on urban geometry and its effect on building performance in hot arid zones (2017)
Conference Proceeding
Lila, A., Lannon, S., & Jabi, W. (2017). Holistic sensitivity analysis on urban geometry and its effect on building performance in hot arid zones. In H. Elsharkawy, S. Zahiri, & J. Clough (Eds.), Sustainable Design of the Built Environment SDBE 2017 (193-204)

There is a need to assess the growth of urban communities through analytical frameworks that have a multi-objective and holistic approach. In this paper, a sensitivity analysis was conducted on urban geometry with a holistic and integrative approach... Read More about Holistic sensitivity analysis on urban geometry and its effect on building performance in hot arid zones.