Khalil, Amany; Macha, Bhargav; Mohamad Nor Azli, Noorfazlenawati; Davies, Michael; Oikonomou, Eleni; Clifford, Ben; Mavrogianni, Anna; Khalil, Amany; Macha, Bhargav; Mohamad Nor Azli, Noorfazlenawati; Davies, Michael; Oikonomou, Eleni; Clifford, Ben; Mavrogianni, Anna; Raslan, Rokia; - view fewer (2025) Optimization of indoor space planning in a repurposed office to residential building using multi-objective genetic algorithm. Presented at: UKIEG 2025, Leeds, UK.

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Abstract

The introduction of Permitted Development Rights (PDR) in 2013 in England allowed for the conversion of commercial buildings (e.g. offices) for residential use without planning permission. However, such conversions may be potentially associated with negative impacts on indoor environmental performance, such as lack of indoor space, poor air quality, thermal, energy and daylight performance, which could affect the health and wellbeing of occupants. For example, lack of space could have severe negative impacts on occupant health and well- being, highlighting the importance of space standards for achieving basic lifestyle needs. Existing research using energy efficient optimization of building form and layout is based on hypothetical models that do not reflect real world case studies. This paper aims to quantify the extent to which the optimization and prediction of indoor spacial configuration through an Artificial Intelligence (AI) informed approach can improve indoor environmental performance of homes created under PDR. This study optimizes the floor plan of an office to residential conversion for energy efficiency and daylighting.

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