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Architectural Redesign and Thermal Performance Upgrade of the Malindi Residential Complex with an Energy Optimization and Passive Cooling Approach- Kenya

Project Overview

Project Location:
Malindi
Project Type:

Architectural redesign, energy optimization, and thermal performance simulation

Spatial Configuration:
Two three-bedroom apartment units including living spaces, service areas, and vertical circulation
Project Start Year:
After the 2021 fire incident
Provided Services:
Existing-condition energy analysis, three-dimensional modeling, natural ventilation design, architectural plan redesign, envelope and roof optimization, shading device design, and daylight analysis
Client:
Christian Mandi
Software Used:
DesignBuilder, EnergyPlus, SketchUp, AutoCAD, Revit
Energy Simulation and Optimization Specialist:
Dr. Amirhossein Janzadeh

Project Introduction

In 2021, a fire incident occurred on the roof of two residential units within the Oasis Village complex in the city of Malindi, leading to the destruction of a significant portion of the second floor and the flat roof of the building. While this incident required structural reconstruction, the project approach was defined as extending beyond simple restoration.The climate of Malindi is characterized by hot and humid conditions, intense solar radiation, and high temperatures throughout most months of the year. Under such circumstances, reliance on mechanical cooling systems is largely unavoidable. Given the high cost of electricity; exceeding 0.22 USD per kWh, this reliance places a considerable economic burden on residents.

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  • This project represents a combination of post-disaster reconstruction, climate-responsive architectural design, and advanced building energy simulation, defined with the aim of reducing dependence on mechanical cooling systems in the tropical climate of East Africa. Through an integrated approach between architecture and energy engineering, the damaged sections were reconstructed while the overall thermal performance of the building was enhanced, cooling loads were reduced, and thermal comfort was achieved through passive strategies.

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Research Objectives

  1. General Objectives
  • Safe and optimized reconstruction of the damaged sections, with an emphasis on improving residential quality and occupants’ thermal comfort
  • Reduction of dependence on electrical energy and optimization of resource consumption
  1. Specialized Objectives: Achieving optimal building performance through:
  • Accurate airflow simulation based on seasonal wind patterns and the design of cross-ventilation in all spaces
  • Increasing daylight penetration while reducing solar heat gains and annual cooling loads
  • Designing climate-responsive shading devices appropriate to geographical orientations
  • Integrating solar energy systems and energy storage to supply part of the building’s energy demand
  1. Climatic Wind Analysis: Design orientation based on regional seasonal wind patterns:
  • Southern winds from May to October (hot season)
  • Eastern winds from November to March (cool season)
  • Enhancement of the stack effect through openings integrated within the stairwell to improve natural airflow
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Research Method and Analysis Process

The research process was defined based on a phased, simulation-driven approach, in which each design decision was digitally evaluated and validated prior to implementation.

In the first stage, a detailed three-dimensional model was developed in DesignBuilder based on existing drawings, site surveys, and actual material specifications. The model incorporated all elements influencing thermal performance, including:

  • Envelope and roof layer assemblies
  • Material thermal transmittance values
  • Dimensions and locations of openings
  • Shading configurations
  • Air permeability

  • Occupant operation scenarios
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  • Local climatic data for the Malindi region; including dry-bulb temperature, relative humidity, solar radiation intensity, and seasonal wind patterns, were incorporated into the model to reproduce the building’s real behavior under tropical conditions. After calibration of the baseline model, the following key indicators were extracted:

    • Hourly and annual cooling loads
    • Indoor temperature distribution
    • Solar heat gains through the envelope
    • Air change rates
    • PMV thermal comfort index
    • Total energy consumption
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    • Subsequently, the optimization process was conducted in a phased manner. Each design strategy was applied individually, simulated, and its results recorded. The strategies were then combined cumulatively to assess their synergistic effects. This approach enabled accurate identification of the contribution of each design intervention to energy reduction.

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Optimization Scenarios and Strategies

  • The optimization strategies were designed and evaluated across eight consecutive phases, beginning with basic physical interventions and progressing toward intelligent operational controls.

    • Phase 1: Spatial Layout Optimization

    Spaces were reorganized to align openings with prevailing wind directions. This intervention led to the formation of effective cross-ventilation paths and increased airflow penetration into deeper areas. The results were as follows:

    • Energy consumption reduction: 16.1%
    • Increase in air change rate: 39%
    • Improvement in daylight distribution
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  • Phase 2: Horizontal Window Shading Design

Shading devices with a 60 cm projection were designed for north- and south-facing openings. By blocking high-angle solar radiation, these elements prevented unwanted heat gains. As a result:

  • Cooling load reduction: 8.2%
  • Reduction in solar radiation gain: 27%
  • Phase 3: Roof Thermal Optimization

Given the roof’s significant contribution to direct solar exposure, two strategies; installation of semi-transparent shading and application of a high-reflectance white roof coating, were implemented simultaneously. This resulted in:

  • Cooling load reduction: 28.6%
  • Reduction in roof surface temperature
  • Decrease in heat transfer to the floor below
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    • Phase 4: Glazing Performance Enhancement

    Existing glazing was replaced with double-glazed Low-E panels with UV-filtering capability. This intervention resulted in:

    • Reduction in solar heat gain: 26%
    • Improved stabilization of indoor temperature
    • Reduction in daily thermal fluctuations
    • Phase 5: Smart Natural Ventilation

    A conditional natural ventilation strategy was defined, whereby openings were activated only when indoor temperature exceeded 22°C and outdoor temperature remained below 25°C. As a result:

    • Increase in ACH up to 9.95
    • 2161% increase in ventilation performance
    • Cooling load reduction: 16.5%
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  • Phase 6: Intelligent Lighting Control

Daylight sensors were installed at a height of 0.8 m, and artificial lighting levels were adjusted based on ambient illuminance. Consequently:

  • Lighting load reduction: 11%
  • Reduction of heat gains generated by lighting
  • Phase 7: Increase in Façade Glazing Area

To evaluate maximum ventilation potential, full-height glazing was applied to the north and south façades. This resulted in:

  • Increase in ACH up to 38.07
  • Energy consumption reduction: 11.6%
  • Increase in daylight availability
  • Phase 8: Final Optimized Version (Optimized Glazing Ratio)

Due to increased thermal gains observed in the fully glazed condition, the glazing ratio was reduced to 50% to establish a balance between daylight, ventilation, and thermal load. As a result:

  • Cooling load reduction: 32%
  • Energy consumption reduction: 26.5%

Most optimal combined

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Evaluation Parameters

To comprehensively assess performance, a set of energy, thermal, and comfort indicators was analyzed, including:

  • Annual cooling load
  • Total energy consumption
  • Air change rate
  • Solar radiation gain
  • Lighting load
  • CO₂ emissions
  • Thermal comfort index
  • Daylight performance


These indicators enabled a multidimensional evaluation of the impact of each design intervention.

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Performance Results and Energy Improvement

Implementation of the phased optimization approach led to a fundamental improvement in the building’s energy performance and significantly reduced dependence on mechanical cooling systems. Key outcomes include:

  • Reduction in total annual energy consumption exceeding 65%
  • Significant reduction in cooling loads
  • Substantial increase in natural ventilation rates (ACH)
  • Reduction in solar heat gains and lighting loads
  • Noticeable decrease in CO₂ emissions

The greatest contribution to energy reduction resulted from roof optimization, smart natural ventilation, glazing ratio adjustment, and shading design, which together produced strong synergistic effects.

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Added Value and Long-Term Impacts

  • Beyond numerical energy reductions, the project also enhanced residential quality and building operation. Its long-term impacts include:

    • Improvement of thermal comfort and daylight quality
    • Reduced need for continuous HVAC operation
    • Long-term reduction in operational costs
    • Increase in property economic value
    • Presentation of a replicable model for tropical climates

    The results demonstrate that climate-responsive and passive design, when properly integrated, can serve as an effective and economical alternative to reliance on mechanical systems.

Final Conclusion

  • This project provides a clear example of transforming a building crisis into an opportunity for energy performance enhancement. The reconstruction not only restored the building’s physical condition but also, through simulation-driven analysis, substantially reduced energy consumption and cooling loads.

    Climate-oriented roof design, solar radiation control, smart natural ventilation, and targeted daylighting formed an integrated set of passive strategies capable of delivering thermal comfort with minimal energy consumption. This experience demonstrates that in hot climates, intelligent architectural design can effectively replace costly dependence on mechanical systems and support the development of sustainable housing.

    For consultation and energy management of your projects, please contact us.

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