The Republic of Guinea is located in the southwest of West Africa and covers an area of 245,857 km². It is a coastal country with 300 km of Atlantic coast, halfway between the equator and the Tropic of Cancer between 7˚05 and 12˚51 north latitude and 7˚30 and 15˚10 west longitude. It is bounded to the west by the Atlantic Ocean, to the south by Sierra Leone and Liberia; to the east by Ivory coast and Mali; and to the north by Guinea Bissau, Senegal and Mali. [10].

It is subdivided into four natural regions, namely Maritime Guinea, Middle Guinea, Upper Guinea and Forest Guinea (Figure 1). The Koppen classification [11] defines Guinean climate as Aw and Am, respectively “tropical savannah” and “tropical monsoon”. It is subject to the alternation of two seasons (dry, rainy). The dry season generally lasts 7 to 8 months with fairly high temperatures.

Figure 1. Guinea in Africa.

The climate data used in this study are derived from a combination of measured and selected historical data from Meteonorm in the TMY2 format [12].

Maximum temperatures in Conakry reach around 40˚C. The warmest month of the year is April, with an average temperature of 28˚C, while the coldest month is August, with an average temperature of 25˚C. The high relative humidity indicates that the coastal influence predominates and dominates the climate zonation. It averages more than 70% all year and may sometimes reach 85% or even 90% during the rainy season, especially in August and September. During the year, solar radiation on the horizontal surface reaches a maximum of 1000 W/m² and an average of 230 W/m² (Figure 2).

Figure 2. Meteorological data.

A residential building in Conakry, the case study is an existing structure with 112 m² of square space, a ceiling height of 3 m, 8 thermal zones, 3 bedrooms (BR1, BR2, BR3), 2 bathrooms (WC1, WC2), 1 dining/living room (LR), and a hallway/entrance (DGMT) (Figure 3).

With a thickness of 6 mm and a g-value of 0.82 and a U-value of 5.74 [W/m²∙K], the windows are single-glazed.

Figure 3. Residential building.

The thermophysical properties of the building materials, i.e. thermal conductivity λ, density ρ, and specific heat Cp, are listed in Table 1.

Table 1. Thermophysical properties of materials.

The building’s occupancy is taken into account, bearing in mind the residents’ habits and the various scenarios are listed in Table 2.

Table 2. Occupancy scenarios.

0 = unoccupied; 1 = occupied.

The building is modelled in SketchUp using the TRNSYS3D plugin, then imported into TRNSYS18 [13] to assess thermal performance and dynamically coupled to Contam© [14] for the aeraulic portion. Every time, the Type 56 (Building Thermal Model) of Trnsys determines the inside air temperature of each zone based on the building’s thermal characteristics, charges, and air leakage and ventilation debits. Meanwhile, the Type 97 (Combining with Contam) determines the air leakage between the interior and exterior zones based on external requests and the knowledge of the interior temperatures. The effect of airflow and thermal exhaustion causes infiltration and natural ventilation deficits.

The wind pressure coefficients on the envelope are determined for each wall based on the speed and angle of incidence of the wind on it, as proposed by swami & Chandra [15]. The solar protection provided by the advancement of the roof above the terrace is accounted for by the modeling of two solar masks (one for the living room (LR) zone and the other for the entrance DGMT zone) (Figure 3). To begin the calculation, an additional year of regime change is used. The simulations are run in an hour time. Aerodynamic exchanges (infiltrations, window openings, and interzonal exchanges) are based on the mass conservation law, and the opening models are represented as follows:

where Q is the volumetric air debit, C is the air debit coefficient, P is the pressure difference between the two sides of the wall, and n is an exposant characteristic of the flow set to 0.67. The infiltration depth has been set at 2 m³∙h⁻¹∙m⁻² under 4 Pa, which corresponds to non-joined windows according to the 3CL-DPE method [16]. Each debit coefficient is calculated in relation to the corresponding surface.

In the first instance, simulations were run to determine the various temperatures of thermal zones. This reference case assumes that all of the openings are closed. The ventilation is reduced to a basic infiltration calculated using non-jointed windows. The solar absorption coefficient of the roof is 0.6 and the infiltration calculate by Contam is 0.2 vol/h. These cases study will be used as a reference in the future to evaluate the performance of cool coating strategy.

Figure 4. Operative temperature on thermal zone.

The simulation was carried out over three days during the hottest week of the year, from April 8 to April 11. Initial results show that temperatures in the attic regularly exceed 45˚C during peak periods and the other thermal zones have average temperatures of 30˚C (Figure 4).

The temperature of comfort T_conf, which determines the number of degrees-hours of discomfort per year in various thermal zones, was calculated using the De Dear expression [11], which corresponds to the upper limit of the category II of adaptable comfort, and the relation (2).

where:

T a i r , e x t = radiant mean temperature.

The recorded degrees-hour represent the difference between the temperature at each hour of the working day and the comfortable temperature. The rate of distress is defined as the ratio of the number of hours of distress to the number of hours of work. The corresponding results are shown in Table 3.

Table 3. Discomfort rate on thermal zone in reference building.

Figure 5 shows the number of degrees obtained for the Salon during the year. The hours of the day are represented in order, while the months of the year are represented in abscises. It is possible to detect that discomfort is present almost all year and is more noticeable during the months of March and April, especially at night.

Figure 5. Evolution of discomfort over one year in LR.

For cooling the building, the cool roof technique was evaluated with an absorption coefficient of 0.3, which corresponds to a reflection of 0.7; the roof surface temperature dropped from 54˚C to 39˚C, a reduction of 15˚C, which corresponds to 31% (Figure 6).

Figure 6. Impact of cool roof on surface temperature roof.

The operating temperature of the living room thermal zone also dropped by 2.4˚C and the discomfort rate calculated in Table 2 for the various thermal zones fell from 57% to 33%, i.e. a 42% reduction in the discomfort rate (Figure 7).

Figure 7. Impact of cool roof in LR.

The impact of the cool roof on all the building’s thermal zones is shown in Table 4, and the reduction of discomfort over the year in the LR is also shown in Figure 8.

Table 4. Discomfort rate on thermal zone in building with cool roof.

Figure 8. Reduction of discomfort over one year in LR.

To assess the impact of the comfort zone on the building’s energy consumption, two different standards were used. The first is ISO-7730, which recommends heating at 20˚C and cooling at 26˚C; the second is ISO-15251, whose heating and cooling conditions are governed by equation (2).

Figure 9 shows the building’s annual cooling loads in the living room area for the two set-point temperatures compared. The comparison shows that the temperature required by ISO 7730 causes a higher air-conditioning load than the adaptive one (ISO-15251); an increase of 38% is observed in the reference case and 67% after the incorporation the cool roof.

Figure 9. Reduction of discomfort over one year in LR.