Conflicts in passive building performance: Retrofit and regulation of informal neighbourhoods

Abstract

Urbanization growth in developing countries raises concerns regarding these countries' ability to consider slums, underdeveloped communities, and neighbourhoods in economic, health, and climatic goals. This research proposes a methodology that integrates algorithmic design and analysis strategies to define, study, and measure key parameters that affect the rehabilitation of these areas. Construction scenarios and design dimensions are analysed to establish design and comfort thresholds, and alternatives are simulated and tested to identify possible improvements. The methodology includes an optimisation step integrated in the workflow that maximizes thermal comfort, minimizes costs, and ensures fairness in the rehabilitation of large sets of buildings. This step identifies improvements in thermal comfort for different construction scenarios from which a two-staged rehabilitation plan is defined. The first stage comprises a sensitivity analysis to identify building materials regarding their improvement and cost of application, and the second defines the most suitable construction scenarios considering the results from the optimisation process for each building. Additionally, we research and document guidelines regarding the parameters tested for building design, revealing the existing conflicts between performance objectives, and the architect's role in their prioritization.

Keywords

• Urban regeneration
• Informal housing
• Algorithmic design
• Optimisation
• Simulation