Next Article in Journal
Polysaccharide-Based Active Coatings Incorporated with Bioactive Compounds for Reducing Postharvest Losses of Fresh Fruits
Next Article in Special Issue
Experimental Study of Black Cotton Soil Stabilization with Natural Lime and Pozzolans in Pavement Subgrade Construction
Previous Article in Journal
Insights on the Formation Mechanism of Ultra-Low Friction of Phenolic Resin Graphite at High Temperature
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Lab-Controlled Experimental Evaluation of Heat-Reflective Coatings by Increasing Surface Albedo for Cool Pavements in Urban Areas

1
Civil Engineering Department, Boise State University, 1910 University Drive, Boise, ID 83725, USA
2
Department of Physics, Macalester College, 1600 Grand Avenue, Saint Paul, MN 55105, USA
*
Author to whom correspondence should be addressed.
Coatings 2022, 12(1), 7; https://doi.org/10.3390/coatings12010007
Submission received: 1 November 2021 / Revised: 16 December 2021 / Accepted: 20 December 2021 / Published: 22 December 2021
(This article belongs to the Special Issue Functional Materials for Building and Pavement Coatings)

Abstract

:
Many studies were conducted to find possible strategies for reducing the urban heat island (UHI) effect during the hot summer months. One of the largest contributors to UHI is the role that paved surfaces play in the warming of urban areas. Solar-reflective cool pavements stay cooler in the sun than traditional pavements. Pavement reflectance can be enhanced by using a reflective surface coating. The use of heat-reflective coatings to combat the effects of pavements on UHI was pre-viously studied but no consistent conclusions were drawn. To find a conclusive solution, this work focuses on the abilities of heat-reflective pavement coatings to reduce UHI in varying weather conditions. Within this context, both concrete and asphalt samples were subject to a series of per-formance tests when applied to a heat-reflective coating, under the influence of normal, windy, and humid conditions. During these tests, the samples were heated with a halogen lamp and the surface temperature profile was measured using an infrared thermal camera. The air temperature was recorded with a thermometer, and the body temperature at multiple depths of the samples was measured using thermocouples. The results from these tests show that the effectiveness of the heat-reflective coating varies under different weather conditions. For instance, the coated samples were about 1 °C cooler for concrete and nearly 5 °C cooler for asphalt, on average. However, this temperature difference was reduced significantly under windy conditions. As such, the findings from this work conclude that the heat-reflective coatings can effectively cool down the pavement by increasing the surface albedo, and thus might be a viable solution to mitigate UHI impacts in the city/urban areas.

1. Introduction

The rapid urbanization of populations occurring around the globe has led to drastic changes in the natural environment, from species displacement and water contamination to air or light pollution. As cities become larger and more populated, the infrastructure needs to be maintained as soon as the influx of people quickly takes the place of natural forests and other ecosystems. These natural land surfaces are, therefore, being replaced by man-made infrastructures that contribute heat release through human activities [1]. Man-made construction materials, such as concrete and asphalt, which have a high specific heat capacity, are part of this process. These infrastructures lead to the urban heat island (UHI) effect, which is found to create a 1 to 3 °C annual air temperature increase in cities [1]. The term UHI can be used to refer to any area that is relatively hotter than its surroundings, but, in general, it refers to human-disturbed areas [2]. UHI is a complicated phenomenon mainly caused by the modification of land surfaces [3]. In addition, waste heat generated by energy usage is a secondary contributor [4]. Population growth in a certain area result in an average temperature increase. In this paper, we specifically address the contribution of pavements to the UHI phenomenon, whereby urban regions experience warmer temperatures than their rural surroundings. Climate model projections found that heat stress increases twice as much as a result of climate change in cities compared to rural areas, leading to longer and more extreme heat waves [5]. Existing studies linked this UHI effect to human well-being and health problems. Heat waves were determined to result in high mortality rates [6], more hospital admissions [7], and higher energy usage [8]. It was also shown that UHI resulted in more energy consumption for air conditioning and other building cooling methods [9]. In Phoenix, AZ, nighttime UHI intensity leads to an increase in water usage [10]. Mitigation strategies such as cool pavements or cool roofs have the potential to limit these consumer costs [11,12].
Pavements typically comprise 30%~45% of the land area in major cities and contribute significantly to the UHI effect through the low reflection of solar radiation and high levels of thermal storage [13]. The influence of pavements in the formation and mitigation of the UHI was recognized by the transportation society to examine the relationship of pavement materials to urban climate concerns. Hot pavements aggravate urban heat islands by warming the local air and contribute to the global warming by radiating heat into the atmosphere. Conventional paving materials can reach peak summertime temperatures of 120–150 °F (48–67 °C), transferring excess heat to the air above them [5]. Albedo can play a significant role in this regard.
Solar reflectance is the percentage of solar energy reflected by a surface. The majority of the sun’s energy is found in the visible wavelengths; thus, solar reflectance is correlated with a material’s color. Darker surfaces tend to have lower solar reflectance values than lighter surfaces. The absorbed heat increases surface temperatures and contributes to the formation of surface and atmospheric urban heat islands. Although solar reflectance is the main determinant of a material’s surface temperature, thermal emittance, or emissivity, also plays a role in this case. Thermal emittance is a measure of a surface’s ability to shed heat or emit long-wave (infrared) radiation. All things equal, surfaces with high emittance values stay cooler, because they release heat more readily.
Dark pavements absorb a large amount of sunlight, which is released back into the environment, warming the air around it. In California, the average surface temperature of asphalt on a typical spring afternoon is about 40.0 °C, while for concrete it is 33.6 °C [14]. This is considerably warmer than the average temperature of 25.4 °C for grass [15]. One way to reduce these effects is to increase the reflectivity of pavement using a solar-reflective coating. However, reflective pavements can also be achieved through many other techniques, which include conventional cement concrete pavement technology; roller-compacted concrete pavement technology; utilizing fly ash and slag in concrete pavement; using a white topping technique; using light aggregates in asphalt concrete surfaces; using sand seals along with light aggregates; applying color pigments and seals; applying colorless reflective synthetic binders; painting on the pavement surface; using sand blasting; resin-based pavements, etc. [16,17,18,19].
Previous studies have shown that using these functional coatings can reduce the surface temperature of asphalt pavements by 13 °C, and white concrete by 4 °C, depending on the type of asphalt or concrete and the coating used [14,20,21]. Increasing the albedo of pavements using heat-reflective coatings has many benefits including emission reductions, improved comfort, increased driver safety at night, reduced street lighting cost and slowed climate change [14,20]. Albedo defines how well this surface would reflect solar energy and varies between 0 and 1. A value of 0 means the considered surface is a perfect absorber, and a value of 1 means that the surface is a perfect reflector. Thus, solar reflectance refers specifically to visible light only, the visible portion of the solar radiation spectrum. The term, albedo, refers to the overall solar radiation reflectance, not just the visible portion of the spectrum [22]. The basic concept of the heat-reflective coatings can be seen in Figure 1. An uncoated paved surface reflects less solar radiation, as shown in A, than a surface that is coated, shown in B. Because of this, the coated surface remains cooler than the uncoated surface during the day. Note that, albedo is the measure of the diffuse reflection of solar radiation out of the total solar radiation and is measured on a scale from 0, corresponding to a black body that absorbs all incident radiation, to 1, corresponding to a body that reflects all incident radiation. Surface albedo is defined as the ratio of radiosity J e to the irradiance E e (flux per unit area) received by a surface [23]. The proportion reflected is not only determined by properties of the surface itself, but also by the spectral and angular distribution of solar radiation reaching the Earth’s surface. These factors vary with atmospheric composition, geographic location, and time. While bi-hemispherical reflectance is calculated for a single angle of incidence, albedo is the directional integration of reflectance over all solar angles within a given period. The temporal resolution may range from seconds (as obtained from flux measurements) to daily, monthly, or annual averages. For fresh asphalt albedo is 0.04, and for worn asphalt albedo is 0.12 [24], while new concrete can achieve an albedo of 0.55 [25].
Cool pavements refer to technologies that can store less heat by reflecting more sunlight with novel coating materials, in order to achieve lower surface temperatures compared with conventional pavements [20]. Thus, because these pavements have a lower surface temperature, they transmit less heat to the surrounding air. This will keep the temperature of the surrounding area lower, and can help address the problem of urban heat islands, which result in part from the increased temperatures of paved surfaces in a city or suburb. However, emerging cool pavement technologies are not yet as developed as other heat island mitigation strategies, and there is no official standard or labeling program to designate cool paving materials. Many studies measured the role that pavements play in creating urban heat islands, or the impact that cooler pavements can have on reducing the heat island effect [5,11,12,16,17,18,19,20]. As such, an alternative paving system is necessary to address this problem in reducing the heating problems in the urban areas. Researchers at Lawrence Berkeley National Laboratory (LBNL) estimated that every 10 percent increase in solar reflectance could decrease surface temperatures by 7 °F (4 °C) [26]. Furthermore, they predicted that if pavement reflectance throughout a city were increased from 10 percent to 35 percent, the air temperature could potentially be reduced by 1 °F (0.6 °C) [19]. Moreover, reflective pavements are more effective compared to some other technologies, such as evaporative pavements or phase-change-materials (PCM)-incorporated pavements. Evaporative pavements, which are permeable and porous in nature present a lower albedo and higher convective flux to the atmosphere [27]. Thus, heat-reflective pavements can potentially be used as an alternate cool pavement technology in mitigating UHI impacts in urban areas.
Thus, reflective pavement technology allows the pavements to lower the urban temperature by facilitating more sunlight reflection from their surfaces. These pavements have the property of high solar reflectance, allowing them to reflect most of the solar radiation during the day and release the remaining absorbed heat during the nighttime [28]. There are many advantages of reflective pavements. They can decrease the temperature of the outside air and save on power consumption. Reflective pavements cool the air, which can minimize heatwave problems, as well as heat-related illness. It can reduce the heat absorbed by the Earth’s surface, and thus, can potentially minimize the impact of greenhouse gases. However, reflective pavements have some limitations such as glaring problems and a low durability [29]. Because of the inconsistent results from the application of heat-reflective coatings to pavements for controlling temperature increases, we require an end-to-end evaluation within a robust experimental framework.
In this study, a lab-controlled experimental measurement was conducted to evaluate the performance of the proposed reflective pavement, after using coatings with added pigments or seals in them to increase the reflectance. The goal was to examine the temperature performance of the coating under varying weather conditions in a controlled heating environment. A heat-reflective coating was supplied by Decorative Paving Solutions from Tempe, Arizona. The reflectivity of this coating, or the amount of solar radiation that reflects off the surface without being absorbed by the pavement, is 0.43. The findings from this work are intended to better understand the key mechanisms affecting the coating performance, i.e., the selection of coating types under different weather conditions, and to enhance the optimization of the heat-reflective coating material selection and design procedures.

1.1. Infrared Thermography Background

Infrared Thermography (IRT) is a great tool for measuring the surface temperature of a target object both quickly and accurately. IRT uses infrared radiation readings to calculate the temperature of an object. A high-speed infrared camera records the temperature of the material surface as the heat energy diffuses through the material. When the target is struck by solar radiation, there are three dissipation methods: absorption, transmission, and reflection [30]. However, in non-transparent objects, the transmittance can be ignored [25]. We know that the temperature calculated by the thermal camera is related to the infrared radiation of the target object, calculated mathematically with Equation (1). This is the Stefan–Boltzmann formula for a graybody radiator, which states that the total emissive power of this radiator is proportional to the fourth power of its absolute temperature. Here, the pavement surface is considered as a graybody material while running the test and measuring the temperature:
W = ε σ T 4
where W is the total emissive power in W a t t / m 2 , ε is emissivity, σ is the Stefan–Boltzmann constant, and T is the temperature. Emissivity, ε, is equal to 1 for black bodies and less than 1 for grey bodies. Thus, for a same temperature, the emissive power of the pavement surface is reduced in a proportion to the value of emissivity, ε , compared to a black body material.
When using IRT, essentially, the larger the intensity of infrared radiation, the higher the temperature is. However, when receiving radiation from a target object, the thermal camera also receives radiation from many different sources, including the absorbed and reemitted radiation from the target object, the reflected radiation from the target object, and the radiation from other sources, including the objects’ surroundings and the atmosphere [26], as shown in Figure 2. It is noteworthy that the radiation from these multiple sources is measured at different wavelengths. However, our thermal camera, FLIR T430SC, records long-wave infrared radiation between 7 μm and 14 μm.
From here, the camera calculates the temperature of the objects surface using Equation (2) [31]:
T o b j = W t o t 1 ε τ σ T r e f l 4 1 τ σ T a t m 4 ε τ σ 4 W t o t = ε τ W o b j + 1 ε τ W r e f l + 1 τ W a t m
where T o b j determines the object temperature, which is the pavement surface in this work; T r e f l is the temperature of ambient sources; and T a t m is the temperature of the atmosphere. W t o t calculates the total received radiation power through the re-emitted radiation power of the object, W o b j ; reflected radiation power of the object, W r e f l ; and the radiation power of the surrounding atmosphere, W a t m . Thus, ε τ W o b j estimates the emission from the target object, 1 ε τ W r e f l estimates the reflected emission from ambient sources, and 1 τ W a t m estimates the emission from the atmosphere. Here, 1 ε is the reflectance of the object, 1 τ is the emittance of the atmosphere, and τ is the transmittance of the atmosphere. This is the general measurement formula for this FLIR T430SC thermographic equipment.
In this equation, there are still several unknowns that the camera must also calculate. These are the atmospheric temperature, which is simply measured with a thermometer; the reflected temperature and emissivity, which are both calibrated for the camera before use; and the transmittance of the atmosphere. The atmospheric transmission is high (close to 1.0) at small distances around 25–50 m or less; therefore, the relative humidity does not have a large effect on readings unless the camera is at further distances from the target object, which is always the case for our experiment. It is noteworthy that we successfully published a series of infrastructure condition assessment studies using thermography [30,31,32]. Other impacts of ambient weather conditions on the temperature of pavements are introduced in the following section.

1.2. Effects of Ambient Weather on Pavement Surface Temperature Readings

In addition to the uncertainties induced by the atmosphere, several ambient weather conditions affect the results of the temperature readings. Three main ambient conditions that affect the pavement surface temperature are air temperature, wind speed and humidity [33].
The effects of air temperature on the temperature of paved surfaces are simple thermodynamics. During times when the air temperature is warmer than the surface temperature of the pavement, there will be a positive heat transfer into the paved surface as the two mediums approach equilibrium. This idea is typically represented by the morning hours when the sun has warmed the air, but the pavement is not yet warm. The same concept will occur when the air temperature is cooler than the surface temperature; however, in this case, there is a heat loss from the pavement to the surroundings. An example of this would be during nighttime when the paved surface is warmer than the ambient air.
The effects of wind speed on the surface temperature of a pavement slab are relatively intuitive. When wind is present, it creates a convective heat transfer coefficient, which, essentially, either stifles or exaggerates the heat transfer between the air and pavement. In general, when the surface temperature of pavement is hotter than the ambient air temperature, any wind cools the surface, which leads to overall convective heat loss, as shown in Figure 3. Here, the convective heat loss surpasses the heat gain from the external heat source. This concept is comparable to a section of pavement which has been exposed to the sun for an extended period of time. We observe the opposite effect when the surface temperature is cooler than the surrounding air temperature. In this case, wind helps to warm the surface temperature and lead to the convective heat gain, as shown in Figure 4 [33]. In this case, warm air heats up the pavement surface, and thus convective heat gain surpasses heat loss.
Additionally, the wind speed plays a role in the heat transfer between the paved surface and air. A higher wind speed increases the rate of heat transfer between the two mediums, while a lower wind speed leads to a slower heat transfer rate. Furthermore, it was determined that a higher relative humidity increased the convective heat transfer coefficient [34]. This would imply that when there is a high relative humidity paired with large wind speed, the convective heat loss and heat gain, as shown in Figure 3 and Figure 4, respectively, would be exaggerated.
There are several attempts in the literature to quantify the convective heat transfer coefficient. The heat convection, q c at the surface of a pavement slab is given by Equation (3) [35,36]:
q c = h ( T s T a )
where h is the convective heat transfer coefficient in W a t t / m 2 , T s is the surface temperature of the pavement slab, and T a is the ambient air temperature. In order to relate the heat convection from Equation (3) to wind speed, the empirical Equations (4)–(6) were all found to accurately represent this value in different reports [37,38,39]:
h = 5.7 + 3.8 v
h = 6.0 + 4.0 v
h = 5.6 + 4.0 v
In each of these equations, v is the wind speed in m/s. The constants in these equations represent the average roughness of the slab without the effects of wind [40]. To utilize these equations properly we need to meet some criteria based on the wind speed in the surrounding area [41]. Thus, with these equations, it becomes possible to accurately incorporate the wind speed into a heat transfer model to quantify the temperature change within the pavement.

1.3. Heat Transfer Characteristics of Pavement

It is important to consider solar radiation and irradiation when analyzing the heat transfer characteristics of the pavement. Radiation refers to the short-wave radiation absorbed by the surface, q a b s , and can be calculated with Equation (7) [42]:
q a b s = α a b s I f q s o l a r
where α a b s is the solar absorptivity of the pavement surface, I f is the intensity factor that accounts for the sun’s angle throughout the day, and q s o l a r   is the daily peak value of solar radiation. As expected, the solar absorptivity varies greatly with surface color, ranging from 0.4 for some cooler pavements to 0.9 for some older and darker pavements. Solar radiation depends greatly on some weather patterns, mainly cloud coverage, and was found to be 1000 W a t t / m 2 on a sunny day, 700 W a t t / m 2 on a partly cloudy day and 300 W a t t / m 2 on an overcast day.
Thermal irradiation, q r , is characterized by an equation similar to the Stefan-Boltzmann equation [43]:
q r = ε σ T s 4 T s k y 4
In which ε is emissivity, σ is the Stefan-Boltzmann constant, T s is surface temperature and T s k y is the sky temperature. The impact of the coating on the heat transfer characteristics of the pavement materials is that it increases the reflectivity, leading to lower absorbance. The emissivity is assumed to remain stable at 0.9.

2. Methodology

We adopt the cool pavements approach, which works based on increasing the solar energy reflected from their surfaces using heat-reflective coatings. We conducted a series of lab-controlled experimental measurements to analyze these cool pavements, with consideration given to the performance of surface coating and treatment to combat the UHI effect. Varying weather conditions can affect the temperature of the pavement. To examine how these weather conditions changed the effectiveness of heat-reflective coating, an experimental setup reproducing several environmental weather conditions was utilized for both concrete and asphalt samples. The surface temperature profile measurements were taken using an infrared thermal camera. The effects of these weather conditions on the camera readings were also considered to accurately measure the temperature.

2.1. Experimental Setup

Two types of pavement materials, concrete and asphalt, were used to determine the effectiveness of heat-reflective coating. To begin, a 6 × 6 × 20-inch concrete slab was cast for use as a sample with no reinforcement included within. The strength of the slab was measured at 4500 psi. The slab was then broken into two separate pieces using a flexure test machine. The thermocouples were then placed inside the crack at the very center (3 inches from either side) at depths of 2 inches, 3 inches and 4 inches, as shown in Figure 5.
For the asphalt, two cylinders were supplied by Idaho Asphalt Supply in Nampa, Idaho. These had a height of 5 inches and radius of 3 inches. The dimensions of both concrete beam and asphalt cylinders were chosen in such a way that their cross-sectional areas closely matched with each other, so that the experiment provided a logical temperature comparison between them. One of these samples was coated with the heat-reflective coating. Two holes were then drilled into each cylinder at 2-inch and 4-inch depths, respectively. The thermocouples were then placed in these holes at 1.5 inches deep in the uncoated cylinder and 1.75 inches deep in the coated cylinder, as shown in Figure 6.
The surface points were chosen based on the placement of the subsurface thermocouples. In total, there were 9 surface points where temperature was measured for concrete, as shown in Figure 7, and 6 points for the asphalt, as shown in Figure 8. The middle point in Figure 7 was situated directly above the thermocouples, 3 inches from each side. The remaining points formed a grid pattern surrounding the center point at distances of 1.5 inches from the center. It is noteworthy that the steel rings are used for thermal point calibration. Marking the points on the pavement with a marker would both skew the results and not show up in the thermal image; however, the rings allowed the points to be accurately positioned from the pavement to the thermal image camera for data collection. Once the data points from the computer program were placed in the center of each ring, the rings were removed, and the trial was started. Additionally, none of the points were placed on top of delamination in the pavement, such as the small gap from the thermocouple crack in the concrete sample, so that these steel rings would not affect the measured temperature at that point. For the asphalt, the two center points were placed above the thermocouples while the other two on each sample were placed on a line through the center 1.5 inches from either edge. Thus, the distances in between the data points for both concrete and asphalt samples were kept the same, in order to meaningfully track the temperature changes in those target areas. For this experiment, only the temperature data from one point, the one situated above the thermocouples, was analyzed. The remaining data points were taken for future study. Figure 7 (right) and Figure 8 (right) show the calibration of these surface points with the thermal camera (FLIR Teledyne LLC, Wilsonville, OR, USA) for the concrete and asphalt samples, respectively.
Our in-house experimental setups for controlled heating, airflow heating and humid heating can be seen in Figure 9. In the controlled heating photo, the sample is in the heating phase, whereas, in the airflow and humidity tests, the sample is in the cooling phase. While this figure shows the set up with concrete, the only difference during asphalt testing was that the two cylinders were placed side by side in the same location as the concrete. An example of this change is shown for the controlled heating test on the asphalt samples in Figure 10. This was taken during the heating phase, and the thermal camera was removed from its stand so it would not overheat. Each case was numbered for concrete and asphalts samples, as indicated in Table 1.
There were seven key parts in total in the test setup. These include a 121 × 33 × 51 cm3 tank used in the humidity control, the concrete or asphalt samples to be tested, a halogen lamp (500 W) used in heating, a FLIR T430SC model infrared thermal camera used to record the surface temperature of the sample, a fan used during airflow tests, a humidifier used during humidity tests, and a temperature/humidity meter. Figure 11 shows the distances of each of these objects from the center point on the concrete surface, while Figure 12 shows the distances of each of these objects from the center point between the uncoated and coated asphalt cylinders. This lab-controlled setup allows the authors to study the outdoor or ambient weather conditions by controlling the heating, airflow, and humidity level. By using the tank as an environmental chamber, we controlled the humidity level during the humidity tests and created a wind tunnel during the airflow tests. The infrared thermal camera has a sensitivity of 0.045 at 30 °C [44]. The number of frames that the camera records per second, or frame rate, is 60 Hz.
The fan used was a standard house fan with three speed settings, although only the first speed setting was used during data collection. The speed of the setting used was measured at 3.54 m/s at a distance of 12 inches. The fan was used to simulate the windy conditions and was placed at this distance because the wind speed was accurately measured for this distance. The humidifier was used to create a humid environment and was placed as far away from the samples as possible. This is because the humidifier creates a small breeze in the tank when in use, and thus this impact on the samples was minimized by placing it far away. The halogen was used to mimic solar radiation and was placed directly above the sample at an appropriate distance to accurately represent the solar loading that the pavement would typically be subject to.

2.2. Testing Procedure and Data Collection

All the tests for controlled heat, airflow heat, and humid heat were performed once on the uncoated concrete, and then once on the coated concrete under similar conditions. For the asphalt, both samples were tested at the same time. The data collection was nearly identical for controlled and airflow heating; however, the process varied for the humid heating. The only difference between the measurements for controlled heat and airflow heat tests was that the fan was placed 12 inches in front of the center surface point for concrete and 12 inches from the point between the two samples for asphalt, running continuously during the 4 h that the experiment was active.
During the controlled heat and airflow heat tests, the sample was heated by the halogen lamp for 2 h. This timeframe was chosen because at this point it could accurately represent the solar radiation from the sun, and the system reached thermal equilibrium. For the airflow test, the fan was turned on at the same time as the halogen lamp and remained on for the duration of the test. During the first 25 min of heating, the subsurface data, along with ambient temperature and humidity, were taken every minute or until the temperatures stabilized. After this, the same data were recorded every 10 min starting at 30 min. At exactly two hours, the halogen lamp was removed, and the thermal camera was set to take the surface temperature at the 9 points continuously for two more hours. During this cooling phase, the subsurface data were also recorded with the ambient temperature and humidity. For the first 10 min, these data were taken every minute, and then every 10 min for the remainder of the two hours.
The humidity testing was performed slightly differently. To start, the entire tank was covered with plastic wrap to create a humidity seal. Once the environment was isolated, the humidifier ran for an hour. After this first hour, heat was applied with the halogen lamp for the next two hours while the humidifier was still running. Throughout this heating phase, data of the subsurface temperatures were taken from the thermocouples every minute for the first twenty minutes, and then every ten minutes after that. After 2 h of heating, the halogen lamp was removed, and the seal was fully replaced. At this point, surface temperature measurements were taken using the thermal camera every 4 min, while subsurface measurements continued every minute for the first ten minutes, and then every ten minutes after that for the remainder of the two-hour cooling phase. During the cooling phase, the humidity was raised up to 80% relative humidity, and then kept between 80% and 85%.

2.3. Coating Application

The heat-reflective coating used was supplied by Decorative Paving Solutions in Tempe, Arizona and came in three parts: part A, part B, and colorant, as shown in Figure 13. Before use, the directions state that all three parts are mixed together with half a gallon of water. Once mixed thoroughly, it must be used within 12 h. The five-gallon bucket received coats of about 200–250 square feet. Because the samples used in this study were only about 1 square foot, a ratio based on the weight of each component was determined. For the concrete coating, 0.5 kg of part A was mixed with 0.12 kg of part B, 0.02 kg of the colorant and 0.038 kg of water. The coating was applied to the surface of the sample using a roller brush in five coats measuring out to a thickness of 3 mm, as shown in Figure 14.

3. Results and Analysis

3.1. Concrete Samples

Under varying weather conditions, the impacts of heat-reflective coatings on the temperature of concrete differ. The data point used for all temperature analysis is the center point of Figure 7. During normal conditions, it was found that the coated concrete was about 1 to 2 °C cooler. This is shown in Figure 15, in which the surface temperatures of both the coated and uncoated concrete are compared to normal conditions.
Normal heating (Case 1): The temperature of the uncoated concrete immediately after the two hours of heating was 42.8 °C, which was 1 °C warmer than the 41.8 °C peak temperature of the coated concrete. Notably, we assume that, after 2 h heating, the sample has reached a thermal equilibrium throughout. The two samples cooled at the same rate, the process of which is shown in the graph in Figure 15. Here, time 0 means the beginning of the cooling period. The curve of the uncoated concrete seems to remain about 1 °C warmer than the coated concrete for the duration of the cooling. A similar trend is seen when observing the subsurface temperatures during normal, controlled heating, shown in Figure 16. For each individual depth, the uncoated temperature is slightly warmer than the coated temperature at the same depth. The larger the depth, the smaller the temperature difference was between the two samples. The largest temperature difference at a 2-inch depth during the controlled heating was 0.8 °C after 20 min into the cooling phase. At the same time, however, the temperature difference between the two samples at a 4-inch depth was 0.6 °C. This was simply because the larger depths remain cooler than the depths closer to the surface, and thus there is less difference between the temperatures of the two depths.
Humid heating (Case 2): In the humidity test, the results of the coating were initially seen after the heating phase, but the temperature difference between the coated and uncoated samples quickly returned to the same temperature and decreased at the same rate. This trend can be seen in Figure 17. The peak difference between the samples’ surface temperatures was 2.6 °C; however, after only 40 min of cooling, the temperatures returned to within 0.5 °C of each other and remained this close for the duration of the cooling phase. The cause of this effect was most likely related to the fluctuation of the humidity level. During the heating phase the humidity decreased to around 15%, essentially simulating the normal heat test so that the effect of humidity was not seen immediately. However, after the heat source is removed and the tank is re-sealed, the humidity quickly rises to between 80 and 85%. The water droplets in the air retain their heat and keep the ambient air temperature warmer for the rest of the cooling phase due to the latent heat properties of water. Since the ambient air temperature cools slowly, it mitigates the effects of the coating, and the temperatures of the coated and uncoated samples remain similar. According to Section 1.1, we can assume that the camera properly accounts for the humidity in the atmosphere and that the atmospheric transmission coefficient is close to 1.0 regardless due to its proximity to the sample.
The subsurface data for the humidity test shown in Figure 18 were similar to those of the controlled heating. At a two-inch depth, the temperature of the uncoated concrete remained roughly 0.6 °C warmer than the same depth of the coated concrete during the warming phase. There was no noticeable difference between the two samples at the 3- and 4-inch depth. Throughout the cooling phase, the temperatures at the 2-inch depth converged and remained about the same. Overall, the surface temperatures for the humidity tests were about 0.5 °C warmer than the normal heat tests, but this same observation was not seen at the subsurface depths, which were about the same for both samples. This is because the water molecules in the air have a higher latent heat than dry air and retain the heat in the air longer. This causes the ambient air temperature to be warmer after the same amount of cooling than its non-humid counterpart; it is responsible for the extra 0.5 °C of warmth observed. The subsurface temperatures are not warmer in the humid heating simply because they do not get as hot as the concrete surface, thus the effect of the increased air temperature is not seen.
Windy conditions (Case 3): For the windy conditions, there was little observed difference between the coated and uncoated concretes for both surface temperature, as shown in Figure 19, and subsurface temperature, as shown in Figure 20. However, the temperature of the coated sample was slightly warmer than the uncoated sample at both the surface and 2-inch depth. While this is the opposite of the results one would expect, the slight temperature difference (only about 0.4 °C at the surface and 2-inch depth) is caused by the wind convection coefficient. Since the surface of the coated sample is rougher than the uncoated sample, as shown in the experimented samples, the wind convection coefficient is higher for the coated concrete. As shown in Equation (3), this leads to more heat convection at the surface and a larger warming effect from the fan during the beginning half of the heating phase. Up until the point where the surface temperature of the concrete is warmer than the air, the wind convection coefficient helps to increase the heat convection between the air and the concrete. This allows the coated concrete with the larger wind convection coefficient to heat up faster than the uncoated concrete for the beginning of the heating phase of the test, but then cool off faster once the direct heat is removed.
In Figure 16, Figure 18 and Figure 20 of the subsurface data at all depths, the temperatures all decrease initially after the halogen is turned on and the heating begins. This is a cause of the experimental setup. Since the thermocouples were placed within the crack of the concrete, which was then pushed as close as possible, it was still possible for airflow to occur within the crack. As the air in the crack is heated, it rises upwards and is replaced by cooler air coming in from the sides of the crack. This leads to the initial observed cooling until all the air in the tank is warmed. This cycle mainly affects the 3- and 4-inch depths, and these typically only decrease in temperature by 0.5 °C, before beginning to warm up after about 15 min of heating.
Overall, the effects of the heat-reflective coating on the concrete were minimal, and the coating was affected by local environmental conditions. While other reports found a decrease in temperature between a coated and uncoated concrete of nearly 4 °C, or even up to 9 °C at times [22,23], our findings are much lower. This is most likely caused by the type of concrete used. We used a very light-colored Portland Cement Concrete with significant built-in, thermal-reflective capabilities, which is already considered to be a cool pavement cement that would not typically need to be coated. This led to the relatively low temperatures of the uncoated concrete, as well as the coated concrete. Additionally, these previous studies were conducted on a larger scale and over a much longer time frame, so it is possible that the effects of the coating were exacerbated.

3.2. Asphalt Samples

The effects of the heat-reflective coating applied to an asphalt surface are much larger than the concrete surface. While the temperature difference between the coated and uncoated surface varied depending on the weather conditions, the coated asphalt was noticeably cooler for each weather condition tested for. The data point used for the data analysis was the point closest to the edge where the coated and uncoated asphalt touched, as shown in Figure 8. These points were located directly above the thermocouples within the asphalt.
Normal heating (Case 4): During normal heating conditions, as shown in Figure 21, the surface temperature of the uncoated asphalt rose to about 4 °C warmer than the surface temperature of the coated asphalt. After the halogen lamp was removed and the cooling phase begin, the uncoated asphalt cooled faster than the coated asphalt. This was because the larger the temperature gradient between the asphalt and the air, the quicker it cooled. Once the uncoated asphalt decreased to about the same temperature as the coated asphalt, the two samples cooled at the same rate. However, the uncoated asphalt remained slightly warmer than the coated asphalt for the duration of the data collection. A similar trend can be seen in the subsurface data for both samples, as shown in Figure 22. Here, a latency period in heating up the surface exhibits a small temperature decrease at the beginning. After two hours of heating, the temperature of the 2-inch depth for the uncoated sample was 37 °C compared to just 34.3 °C for the coated sample. At the 4-inch depth, the largest temperature difference between uncoated and coated asphalt was 1.5 °C cooler for the coated sample. Similar to the surface trends in the concrete, all of the subsurface temperatures quickly converged together after about 45 min, and then decreased at a similar rate during the cooling phase.
Humid heating (Case 5): During humid conditions, the observed temperature difference between the coated and uncoated asphalt surfaces was 4 °C directly after the two hours of heating. This was nearly identical to the temperatures seen in the controlled heating conditions. The uncoated asphalt once again cooled down slightly faster than the coated asphalt, and the two samples were at the same temperature after about 80 min of cooling, as shown in Figure 23. This was again caused by the larger temperature gradient between the uncoated asphalt and the air. The subsurface temperatures for the humidity test also showed good cooling effects from the heat-reflective coating, as depicted in Figure 24. However, these were smaller than what was shown in normal heating. Here, a latency period in heating up the surface exhibits a small temperature decrease at the beginning. The coated asphalt was 2 °C cooler at a 2-inch depth than the uncoated asphalt, whereas, at the 4-inch depth, it was 1.5 °C cooler. Overall, the temperatures in humidity were about 1 °C cooler. This was most likely caused because of a fan in the humidifier that blowed a slight wind over the samples for the duration of the test. According to Section 1.1, we can also assume that the camera properly accounts for the humidity in the atmosphere and that the atmospheric transmission coefficient is close to 1.0 regardless due to its proximity to the sample.
Windy conditions (Case 6): The addition of wind conditions to the experimental setup reduced the temperature difference between the uncoated and coated asphalt to 2.5 °C cooler for the coated asphalt. This can be seen in Figure 25. As introduced in Section 1.2, the wind also quickened the pace of heat transfer between the asphalt and the air, leading to a much steeper curve during the first 40 min of cooling compared to the other two tests. Therefore, the temperatures of the coated and uncoated asphalt were nearly the same temperature for most of the cooling phase. The subsurface data, as shown in Figure 26, show a similar trend during the heating phase, where the uncoated temperatures are warmer than the coated temperatures. For instance, an uncoated sample with a delamination at 2-inch depth shows a higher temperature than the coated sample with a delamination at the same depth. However, the temperature difference is smaller than in the other tests. These temperature differences are 1.2 °C and 0.5 °C for the 2-inch depth and 4-inch depth, respectively. Due to the wind cooling the samples relatively quickly, all four subsurface temperatures are nearly the same, starting after only 20 min of cooling and remaining almost identical for the remainder of the cooling phase.
The large increase in the effectiveness of the coating for asphalt, rather than for concrete, is mainly due to the reflectivity of concrete compared with asphalt. Since the concrete used in this study already has a fairly high reflectivity, the addition of the coating does not add much to this value. However, the asphalt has a very low reflectivity and absorbs almost 90% of the radiation that strikes it. Coating this asphalt greatly increases its reflectivity, and therefore reduces its temperature noticeably.

4. Conclusions

An increased albedo can reduce the risk of premature failure for both asphalt and concrete pavements by rutting (depressions in the wheel paths) where hot temperatures make this a concern. Installing cool pavements using coatings can be part of a robust strategy to reduce air temperatures, which can result in a wide range of benefits. The use of heat-reflective coatings to combat the effects of pavement on UHI was previously studied, but no consistent conclusions were drawn. In this regard, a robust experimental setup was conducted on concrete and asphalt samples to produce a detailed set of data in a controlled heating environment. We conducted systematic influence analyses of ambient weather conditions for both concrete and asphalt, including a thorough background examination of the effect of weather conditions on heat transfer and infrared thermal imagery. This helped to examine the effectiveness of the coating under these dynamic weather modules. Thus, the data acquired during the tests allowed us to compare the effects of heat-reflective coatings on concrete and asphalt and can be summarized as follows:
During normal conditions, about 1 °C of cooling occurs in coated concrete and 5 °C cooling occurs in coated asphalt. Cooling effects were also noticed at subsurface depths, showing that the whole body of pavement is cooled as a result of the coating. During humid conditions, the cooling effects of the heat-reflective coating are nearly the same as normal conditions. The coating was found to noticeably reduce both the surface temperature and the subsurface temperature of the samples. For the wind conditions, the effects of the coating were stifled. Under the same conditions for asphalt, there was still some observed cooling; however, it was about half as much as the cooling during the other asphalt tests. The wind affects rough surfaces more than smooth surfaces, and thus making a coating with a smoother finish would likely increase its effectiveness in windy areas. In addition, a lighter-colored coating reflected more solar radiation and enhanced the cooling properties.
The application of coatings technologies to cool pavements can lower pavement temperature because more of the sun’s energy is reflected away, and there is less heat at the surface to absorb into the pavement. In terms of urban climate impact, it can contribute to lower air temperatures in both day and night conditions, although air temperatures are not directly related to surface temperatures and many complicating factors are involved. The findings suggest that cool pavements can be used in all applications, such as trails and roads. They may be most effective when paving large, exposed areas such as parking lots.
The use of heat-reflective coatings, mainly on asphalt, has the potential to reduce UHI in many cities that have different climates. These coatings would be the most effective in cities that have consistently sunny weather, such as Phoenix, AZ or Los Angeles, CA. They would also be useful in humid climates, such as Tampa Bay, FL or Boston, MA. However, since the results of the windy conditions show that the coating is not as efficient in this type of environment, cities known for constant wind, such as Chicago, IL, may not see as many benefits.
The results from the sensitivity analysis support the notion that an increase in surface albedo has a local cooling effect by increasing the total outgoing radiation. The results also demonstrated the sensitivities of the climate-related impacts to changes in surface albedo and could be used to guide mitigation strategies.
In conclusion, using heat-reflective coatings in pavements with increased albedo can indeed be considered as a promising solution to mitigate UHI. The results emphasize the importance of considering the ambient climate effect on the cooling performance. This work provides a more accurate and effective technical means for evaluating the cooling effect of the coatings compared with other techniques. Thus, the findings from this work can play a crucial role as a reference guideline in selecting and designing the application of heat-reflective coating materials in pavements.

Author Contributions

Conceptualization, Y.L.; methodology, Y.L. and A.J.G.; validation, A.J.G. and N.W.M.; formal analysis, N.W.M.; data curation, A.J.G. and M.A.R.; writing—original draft preparation, N.W.M. and Y.L.; writing—review and editing, Y.L. and M.A.R.; visualization, N.W.M. and A.J.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the protection of commercial product information.

Acknowledgments

The partial financial support from the National Science Foundation via the Research Experience for Undergraduates (REU) Site: Materials for Society at Boise State University (DMR 1658076) is gratefully acknowledged. The authors would like to thank Decorative Paving Solutions, Tempe, Arizona for providing a sample of their heat-reflective coating for the study. We would also like to thank Idaho Asphalt supply in Nampa, Idaho for providing the asphalt samples used in this study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. United States Environmental Protection Agency. Reducing Urban Heat Islands: Compendium of Strategies (Report); United States Environmental Protection Agency: Washington, DC, USA, 2008. Available online: https://www.epa.gov/heat-islands/heat-island-compendium (accessed on 1 November 2021).
  2. Glossary of Meteorology. Urban Heat Island; American Meteorological Society: Boston, MA, USA, 2019. [Google Scholar]
  3. Solecki, W.D.; Rosenzweig, C.; Parshall, L.; Pope, G.; Clark, M.; Cox, J.; Wiencke, M. Mitigation of the heat island effect in urban New Jersey. Glob. Environ. Change Part B Environ. Hazards 2005, 6, 39–49. [Google Scholar] [CrossRef]
  4. Li, Y.; Zhao, X. An empirical study of the impact of human activity on long-term temperature change in China: A perspective from energy consumption. J. Geophys. Res. 2012, 117, D17117. [Google Scholar] [CrossRef]
  5. Wouters, H.; De Ridder, K.; Poelmans, L.; Willems, P.; Brouwers, J.; Hosseinzadehtalaei, P.; Tabari, H.; Broucke, S.V.; van Lipzig, N.P.M.; Demuzere, M. Heat stress increase under climate change twice as large in cities as in rural areas: A study for a densely populated midlatitude maritime region. Geophys. Res. Lett. 2017, 44, 8997–9007. [Google Scholar] [CrossRef] [Green Version]
  6. Mora, C.; Dousset, B.; Caldwell, I.R.; Powell, F.E.; Geronimo, R.C.; Bielecki, C.R.; Counsell, C.W.W.; Dietrich, B.S.; Johnston, E.T.; Louis, L.V.; et al. Global risk of deadly heat. Nat. Clim. Chang. 2017, 7, 501–506. [Google Scholar] [CrossRef]
  7. Díaz, J.; Carmona, R.; Mirón, I.J.; Ortiz, C.; Linares, C. Comparison of the effects of extreme temperatures on daily mortality in Madrid (Spain), by age group: The need for a cold wave prevention plan. Environ. Res. Part A 2015, 143, 186–191. [Google Scholar] [CrossRef]
  8. Intergovernmental Panel on Climate Change. Climate Change 2014—Impacts, Adaptation and Vulnerability: Part A: Global and Sectoral Aspects: Working Group II Contribution to the IPCC Fifth Assessment Report: Volume 1: Global and Sectoral Aspects; Cambridge University Press: Cambridge, UK, 2014; Volume 1. [Google Scholar]
  9. Taha, H.; Akbari, H.; Rosenfeld, A.H.; Huang, J. Residential cooling loads and the urban heat islan—The effects of albedo. Build. Environ. 1988, 23, 271–283. [Google Scholar] [CrossRef]
  10. Chow, W.T.L.; Brennan, D.; Brazel, A.J. Urban Heat Island Research in Phoenix, Arizona Theoretical Contributions and Policy Applications. Bull. Am. Meteorol. Soc. 2012, 93, 517–530. [Google Scholar] [CrossRef] [Green Version]
  11. Akbari, H.; Konopacki, S. Calculating energy-saving potentials of heat-island reduction strategies. Energy Policy 2005, 33, 721–756. [Google Scholar] [CrossRef]
  12. Kolokotroni, M.; Gowreesunker, B.L.; Giridharan, R. Cool roof technology in London: An experimental and modelling study. Energy Build. 2013, 67, 658–667. [Google Scholar] [CrossRef] [Green Version]
  13. Akbari, H.; Rose, L.; Taha, H. Characterizing the Fabric of the Urban Environment: A Case Study of Sacramento, California; Environmental Protection Agency: Washington, DC, USA, 1999. [CrossRef] [Green Version]
  14. Yang, J.; Wang, Z.-H.; Kaloush, K.E. Environmental impacts of reflective materials: Is high albedo a ‘silver bullet’ for mitigating urban heat island? Renew. Sustain. Energy Rev. 2015, 47, 830–843. [Google Scholar] [CrossRef] [Green Version]
  15. Guan, K. Surface and Ambient Air Temperatures Associated with Different Ground Material: A Case Study at the University of California, Berkeley; Surface and Air Temperatures of Ground Material; University of California: Berkeley, CA, USA, 2011; pp. 1–14. [Google Scholar]
  16. Cool pavement report. EPA Cool Pavements Study—Task 5, Prepared for Heat Island Reduction Initiative; prepared by Cambridge Systematics, Inc. U.S. Environmental Protection Agency: Washington, DC, USA, 2005.
  17. Tran, N.; Powell, B.; Marks, H.; West, R.; Kvasnak, A. Strategies for Design and Construction of Highreflectance Asphalt Pavements. Transp. Res. Rec. 2009, 2098, 124–130. [Google Scholar] [CrossRef] [Green Version]
  18. Cool Pavements Research and Technology; Requested by Bruce Rymer, Office of Pavements Engineering, Prepared by Kendra, K. Levine. Institute of Transportation Studies Library at UC Berkeley: Berkeley, CA, USA, 2011.
  19. Pomerantz, M.; Akbari, H.; Chen, A.; Taha, H.; Rosenfeld, A.H. Paving Materials for Heat Island Mitigation, Ernest Orlando Lawrence Berkeley National Laboratory; U.S. Department of Energy: Washington, DC, USA, 1997. [Google Scholar]
  20. Yang, J.; Wang, Z.-H.; Kaloush, K.E.; Dylla, H. Effect of pavement thermal properties on mitigating urban heat islands: A multi-scale modeling case study in Phoenix. Build. Environ. 2016, 108, 110–121. [Google Scholar] [CrossRef] [Green Version]
  21. Synnefa, A.; Santamouris, M.; Livada, I. A study of the thermal performance of reflective coatings for the urban environment. Sol. Energy 2006, 80, 968–981. [Google Scholar] [CrossRef]
  22. Alchapar, N.L. Eco-Efficient Materials for Mitigating Building Cooling Needs: Design, Properties and Applications; Pacheco-Torgal, F., Ed.; Woodhead Publishing: Amsterdam, The Netherlands, 2015. [Google Scholar]
  23. Hapke, B. Theory of Reflectance and Emittance Spectroscopy, 2nd ed.; Cambridge University Press: Cambridge, UK, 2012. [Google Scholar]
  24. Bretz, S.; Akbari, H.; Rosenfeld, A.; Taha, H. Implementation of Solar-Reflective Surfaces: Materials and Utility Programs; California Institution for Energy Efficiency: Berkeley, CA, USA, 1992. [Google Scholar]
  25. Usamentiaga, R.; Venegas, P.; Guerediaga, J.; Vega, L.; Molleda, J.; Bulnes, F.G. Infrared thermography for temperature measurement and non-destructive testing. Sensors 2014, 14, 12305–12348. [Google Scholar] [CrossRef] [Green Version]
  26. Tran, Q.H.; Han, D.; Kang, C.; Haldar, A.; Huh, J. Effects of Ambient Temperature and Relative Humidity on Subsurface Defect Detection in Concrete Structures by Active Thermal Imaging. Sensors 2017, 17, 1718. [Google Scholar] [CrossRef]
  27. Haselbach, L. Pervious Concrete and Mitigation of the Urban Heat Island Effect. In Proceedings of the Transportation Research Board 88th Annual Meeting, Washington, DC, USA, 11–15 January 2009. [Google Scholar]
  28. Zhu, S.; Mai, X. A review of using reflective pavement materials as mitigation tactics to counter the effects of urban heat island. Adv. Compos. Hybrid Mater. 2019, 2, 381–388. [Google Scholar] [CrossRef]
  29. Anupam, B.R.; Sahoo, U.C.; Chandrappa, A.K.; Rath, P. Emerging technologies in cool pavements: A review. Constr. Build. Mater. 2021, 299, 123892. [Google Scholar] [CrossRef]
  30. Golrokh, A.J.; Lu, Y. An experimental study of the effects of climate conditions on thermography and pavement assessment. Int. J. Pavement Eng. 2021, 22, 1030–1041. [Google Scholar] [CrossRef]
  31. Lu, Y.; Golrokh, A.J.; Islam, M.D.A. Concrete Pavement Service Condition Assessment Using Infrared Thermography. Adv. Mater. Sci. Eng. 2017, 2017, 3829340. [Google Scholar] [CrossRef] [Green Version]
  32. Golrokh, A.J.; Gu, X.; Lu, Y. Real-Time Thermal Imaging-Based System for Asphalt Pavement Surface Distress Inspection and 3D Crack Profiling. J. Perform. Constr. Facil. 2021, 35, 04020143. [Google Scholar] [CrossRef]
  33. Washer, G.A.; Fenwick, R.; Bolleni, N. Development of Hand-Held Thermographic Inspection Technologies. Report No. OR10-007. Missouri Department of Transportation: Jefferson City, MO, USA, 2009. [Google Scholar]
  34. Zhang, J.; Gupta, A.; Baker, J. Effect of Relative Humidity on the Prediction of Natural Convection Heat Transfer Coefficients. Heat Transf. Eng. 2007, 28, 335–342. [Google Scholar] [CrossRef]
  35. Kays, W.M.; Crawford, M.E.; Weigand, B. Convective Heat and Mass Transfer; McGraw-Hill: New York, NY, USA, 2012. [Google Scholar]
  36. Kaviany, M. Principles of Convective Heat Transfer; Springer: New York, NY, USA, 2013. [Google Scholar]
  37. Duffie, J.A. Solar Engineering of Thermal Processes; John Wiley & Sons: Hoboken, NJ, USA, 2020. [Google Scholar]
  38. Larsson, O.; Karoumi, R. Modelling of Climatic Thermal Actions in Hollow Concrete Box Cross-Sections. Struct. Eng. Int. 2011, 21, 74–79. [Google Scholar] [CrossRef]
  39. Lee, J.H. Investigation of extreme environmental conditions and design thermal gradients during construction for prestressed concrete bridge girders. J. Bridge Eng. 2012, 17, 547–556. [Google Scholar] [CrossRef]
  40. Huang, K.; Zollinger, D.G.; Shi, X.; Sun, P. A developed method of analyzing temperature and moisture profiles in rigid pavement slabs. JCBM Constr. Build. Mater. 2017, 151, 782–788. [Google Scholar] [CrossRef]
  41. Qin, Y.; Hiller, J.E.; Meng, D. Linearity between pavement thermophysical properties and surface temperatures. J. Mater. Civ. Eng. 2019, 31, 04019262. [Google Scholar] [CrossRef]
  42. Qin, Y.; Hiller, J.E. Modeling temperature distribution in rigid pavement slabs: Impact of air temperature. JCBM Constr. Build. Mater. 2011, 25, 3753–3761. [Google Scholar] [CrossRef]
  43. United States Federal Highway Administration. Fast Track Paving: Concrete Temperature Control and Traffic Opening Criteria for Bonded Concrete Overlays Volume III—Addendum to HIPERPAV Users Manual; The National Technical Information Service (NTIS): Springfield, VA, USA, 2000.
  44. Howell, J.R.; Siegel, R.; Mengüç, M.P. Thermal Radiation Heat Transfer; Taylor & Francis: New York, NY, USA, 2021. [Google Scholar]
Figure 1. Comparison of reflected radiations: (A). Uncoated pavement; (B). Coated pavement.
Figure 1. Comparison of reflected radiations: (A). Uncoated pavement; (B). Coated pavement.
Coatings 12 00007 g001
Figure 2. The multiple sources of radiation received by the thermal camera.
Figure 2. The multiple sources of radiation received by the thermal camera.
Coatings 12 00007 g002
Figure 3. The effects of convective heat loss when the surface temperature of the pavement is higher than the ambient temperature.
Figure 3. The effects of convective heat loss when the surface temperature of the pavement is higher than the ambient temperature.
Coatings 12 00007 g003
Figure 4. The effects of convective heat gain.
Figure 4. The effects of convective heat gain.
Coatings 12 00007 g004
Figure 5. The placement of thermocouples within the concrete sample.
Figure 5. The placement of thermocouples within the concrete sample.
Coatings 12 00007 g005
Figure 6. The placement of thermocouples within the asphalt samples.
Figure 6. The placement of thermocouples within the asphalt samples.
Coatings 12 00007 g006
Figure 7. The selected points for concrete surface data collection (left). Surface points being calibrated with the thermal camera before beginning the test (right).
Figure 7. The selected points for concrete surface data collection (left). Surface points being calibrated with the thermal camera before beginning the test (right).
Coatings 12 00007 g007
Figure 8. The selected points for asphalt surface data (left). The surface points being calibrated using the thermal camera before data selection (right).
Figure 8. The selected points for asphalt surface data (left). The surface points being calibrated using the thermal camera before data selection (right).
Coatings 12 00007 g008
Figure 9. Experimental setups of controlled heating (left), airflow heating (center) and humid heating (right) for the concrete sample.
Figure 9. Experimental setups of controlled heating (left), airflow heating (center) and humid heating (right) for the concrete sample.
Coatings 12 00007 g009
Figure 10. Example of the controlled heat set up for the asphalt samples.
Figure 10. Example of the controlled heat set up for the asphalt samples.
Coatings 12 00007 g010
Figure 11. Diagram showing the dimensions of the experimental setup from the fan to the center point: (A), 30.5 cm, thermal camera to concrete surface (B), 70 cm, humidifier to center point (C), 56 cm, and halogen lamp to concrete surface (D), 44 cm.
Figure 11. Diagram showing the dimensions of the experimental setup from the fan to the center point: (A), 30.5 cm, thermal camera to concrete surface (B), 70 cm, humidifier to center point (C), 56 cm, and halogen lamp to concrete surface (D), 44 cm.
Coatings 12 00007 g011
Figure 12. Diagram showing the dimensions of the experimental setup for asphalt, including the dimensions from the fan to the center: (A), 30.5 cm, thermal camera to the surface (B), 72.5 cm, humidifier to center (C), 70 cm, and halogen lamp to the surface (D), 46.5 cm.
Figure 12. Diagram showing the dimensions of the experimental setup for asphalt, including the dimensions from the fan to the center: (A), 30.5 cm, thermal camera to the surface (B), 72.5 cm, humidifier to center (C), 70 cm, and halogen lamp to the surface (D), 46.5 cm.
Coatings 12 00007 g012
Figure 13. The coating sent by Decorative Paving Solutions, with parts A and B, and the colorant.
Figure 13. The coating sent by Decorative Paving Solutions, with parts A and B, and the colorant.
Coatings 12 00007 g013
Figure 14. Application of the coating using a roller brush onto the concrete and asphalt surfaces.
Figure 14. Application of the coating using a roller brush onto the concrete and asphalt surfaces.
Coatings 12 00007 g014
Figure 15. The surface temperature during cooling for both uncoated and coated concrete in normal conditions.
Figure 15. The surface temperature during cooling for both uncoated and coated concrete in normal conditions.
Coatings 12 00007 g015
Figure 16. The body temperatures for both uncoated and coated concrete in normal conditions.
Figure 16. The body temperatures for both uncoated and coated concrete in normal conditions.
Coatings 12 00007 g016
Figure 17. The surface temperature during cooling for both uncoated and coated concrete in humid conditions.
Figure 17. The surface temperature during cooling for both uncoated and coated concrete in humid conditions.
Coatings 12 00007 g017
Figure 18. The body temperatures for both uncoated and coated concrete in humid conditions.
Figure 18. The body temperatures for both uncoated and coated concrete in humid conditions.
Coatings 12 00007 g018
Figure 19. The surface temperature during cooling for both uncoated and coated concrete in windy conditions.
Figure 19. The surface temperature during cooling for both uncoated and coated concrete in windy conditions.
Coatings 12 00007 g019
Figure 20. The body temperatures for both uncoated and coated concrete in windy conditions.
Figure 20. The body temperatures for both uncoated and coated concrete in windy conditions.
Coatings 12 00007 g020
Figure 21. The surface temperature during cooling for both uncoated and coated asphalt in normal conditions.
Figure 21. The surface temperature during cooling for both uncoated and coated asphalt in normal conditions.
Coatings 12 00007 g021
Figure 22. The body temperatures for both uncoated and coated asphalt in normal conditions.
Figure 22. The body temperatures for both uncoated and coated asphalt in normal conditions.
Coatings 12 00007 g022
Figure 23. The surface temperature during cooling for both uncoated and coated asphalt in humid conditions.
Figure 23. The surface temperature during cooling for both uncoated and coated asphalt in humid conditions.
Coatings 12 00007 g023
Figure 24. The surface temperature during cooling for both uncoated and coated asphalt in humid conditions.
Figure 24. The surface temperature during cooling for both uncoated and coated asphalt in humid conditions.
Coatings 12 00007 g024
Figure 25. The surface temperature during cooling for both uncoated and coated asphalt in windy conditions.
Figure 25. The surface temperature during cooling for both uncoated and coated asphalt in windy conditions.
Coatings 12 00007 g025
Figure 26. The body temperatures for both uncoated and coated asphalt in windy conditions.
Figure 26. The body temperatures for both uncoated and coated asphalt in windy conditions.
Coatings 12 00007 g026
Table 1. Case studies for the lab-controlled experimental measurement.
Table 1. Case studies for the lab-controlled experimental measurement.
Cases IDSample TypeRepresenting Conditions
Case 1ConcreteControlled normal heating;
Case 2ConcreteHumid heating representing a humid environment;
Case 3ConcreteAirflow heating representing windy conditions;
Case 4AsphaltControlled normal heating;
Case 5AsphaltHumid heating representing a humid environment;
Case 6AsphaltAirflow heating representing windy conditions;
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Lu, Y.; Rahman, M.A.; Moore, N.W.; Golrokh, A.J. Lab-Controlled Experimental Evaluation of Heat-Reflective Coatings by Increasing Surface Albedo for Cool Pavements in Urban Areas. Coatings 2022, 12, 7. https://doi.org/10.3390/coatings12010007

AMA Style

Lu Y, Rahman MA, Moore NW, Golrokh AJ. Lab-Controlled Experimental Evaluation of Heat-Reflective Coatings by Increasing Surface Albedo for Cool Pavements in Urban Areas. Coatings. 2022; 12(1):7. https://doi.org/10.3390/coatings12010007

Chicago/Turabian Style

Lu, Yang, Md Asif Rahman, Nicholas W. Moore, and Aidin J. Golrokh. 2022. "Lab-Controlled Experimental Evaluation of Heat-Reflective Coatings by Increasing Surface Albedo for Cool Pavements in Urban Areas" Coatings 12, no. 1: 7. https://doi.org/10.3390/coatings12010007

APA Style

Lu, Y., Rahman, M. A., Moore, N. W., & Golrokh, A. J. (2022). Lab-Controlled Experimental Evaluation of Heat-Reflective Coatings by Increasing Surface Albedo for Cool Pavements in Urban Areas. Coatings, 12(1), 7. https://doi.org/10.3390/coatings12010007

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop