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Article

Glare-Free Airport-Based Photovoltaic System via Optimization of Its Azimuth Angle

Department of Safety Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea
*
Author to whom correspondence should be addressed.
Sustainability 2022, 14(19), 12781; https://doi.org/10.3390/su141912781
Submission received: 22 August 2022 / Revised: 26 September 2022 / Accepted: 30 September 2022 / Published: 7 October 2022
(This article belongs to the Section Sustainable Transportation)

Abstract

:
Photovoltaic modules and systems (PVs) play an important role in achieving self-sustainable airports. In particular, airport-based PVs (A-PVs) have access to their full potential because airports are typically located in open spaces. However, the reflection of solar light by A-PVs’ front glass is unavoidable and may cause an accident due to solar glare (SG). In this study, we theoretically calculated the risk of SG from A-PVs depending on their azimuthal installation orientation (θPV) and derived a general design rule for minimizing the SG. The simulation reveals that the SG from A-PVs facing the runway and potential flight path causes after-images in pilots and ground workers throughout the year (>800 h/year). On the other hand, modifying their θPV, facing opposite runways and flight paths, significantly reduces the SG (<1 h/year) by reflecting the incident light outside the aircraft route. Although the θPV is not southward, their annual energy generation with an optimized θPV decreases by only 5–7% compared with A-PVs facing southward. This universal design approach is verified at four other airports, confirming the model’s validity. We believe our study will contribute to more solar light harvesting at airports without glare hazards.

1. Introduction

Renewable energy is a sustainable solution to meet the increased energy demand without the emission of greenhouse gases. Incorporating renewable energy sources into existing facilities boosts the energy sufficiency rate. Photovoltaic modules and systems (PVs) have been widely accepted due to their convenience of installation and high efficiency [1,2,3,4]. As a result, airport-based PVs (A-PVs) have increased rapidly [5,6,7], and many projects are in the planning stages. Airports are generally located on flat terrain and have low-rise buildings without shading for safety during aircraft landing and take-off [5].In addition, free space around the runway is mandatory for appropriate pilot vision and airplane safety. Due to these geographical factors, airports are suitable for harvesting solar light using PVs. As the aviation industry emits 3% of total greenhouse gases, A-PVs could facilitate sustainable industry growth and help overcome global warming [6]. Several A-PVs have been successfully installed and generate electricity at the rooftops of terminals and vacant land between runways [7]. In addition, a pioneering study has attempted to expand the potential area of A-PV to the pavement of runways [8].
However, the solar glare (SG) induced by A-PVs is unavoidable because of the refractive index difference between air and the front glass, as shown in Figure 1. The flat front glass of the A-PV reflects approximately 4% of normal incident solar light. Its reflectance increases significantly with a greater incident angle (θi) of the oblique incident light, as displayed in Figure 1. Previous studies have reported that the SG from reflected light increases the risk of an accident due to loss of consciousness in workers. [9,10,11]. The SG entering the retina makes it challenging for people to recognize the surrounding area and can sometimes causes temporary loss of sight. When intense light irradiates it from a small solid angle, human vision is hampered, and it is challenging to identify surrounding objects for approximately 4–12 s; this is also called the after-image effect [9,12]. The statistics of ground vehicle accidents show that accident ratios increase under SG [9,10,11,12].
The SG is more critical to pilots and ground staff of the aviation industry. Pilots affected by an after-image might move the plane a longer distance without recognizing the surrounding situation as a ground vehicle does under similar circumstances. [13]. In addition, aviation crashes commonly cause fatal results. The SG can influence pilots and ground workers from A-PVs when a flight is in landing, take-off, and taxiing on a runway [14]. The altitude of an airplane is sufficiently low near airports so that the SG from A-PVs can reach the pilots’ eyes. Until now, the risk of solar glare (RSG) has been the main hindrance to the widespread use of A-PVs. To reduce their RSG and maximize power output, anti-glare coating and optical structures have been implemented on A-PVs [15,16]. However, the optical coating and structures are vulnerable to soiling, UV irradiation, acidic rain, humidity, and heat [17,18]. Thus, during the lifetime of PVs (~25 years), A-PVs are not free from RSG regardless of implementing antireflection layers.
Due to the RSG of A-PVs, analyzing their SG at the planning stage is mandatory in many countries (e. g. Federal Aviation Administration’s regulations in the United States) [13,19]. For analysis, simulation tools for RSG have been developed that consider the terrain, year around azimuth, and solar elevation angle [20,21]. Many research groups have investigated the RSG of A-PVs, and the results have been reflected in their design [22,23,24]. Following the simulation results, the A-PVs were installed only in specific sites and directions, where their RSG was negligible. Although their research identified RSG of A-PVs at individual sites, comprehensive design guidelines for A-PVs have seldom been proposed. The lack of a universal design rule for A-PVs causes a loss of time and cost for repeatedly conducted calculations at each site. Establishing a general guideline for mitigating the RSG of A-PVs will save time and expenses in determining the possible A-PVs for each project.
Furthermore, most of the previously reported RSG analyses considered only south-facing A-PV cases, resulting in the loss of many possible sites [19,25,26]. Usually, south-facing PVs generate maximum energy; however, the change in their azimuth angle (θPV) will not cause significant efficiency sacrifice in the case of PVs installed in open spaces with a fixed elevation angle (φPV) [27,28,29]. In addition, the attainable advantage of modifying θPV is the reduced RSG of A-PVs by reflecting the solar light out of the potential landing/take-off paths and taxing routes. Despite reasonable energy generation and reduced RSG of A-PVs via optimized θPV, non-south-facing cases have not been intensively studied, thereby missing many potential sites for A-PVs in previous projects. Some previous studies minimized the glare by rotating θPV and φPV; however, the lack of systematic analysis makes it difficult to suggest general guidelines.
In this study, we investigate the relationship between RSG and θPV of A-PVs to derive general guidelines for glare-free A-PVs installed in the northern hemisphere. Theoretical calculations of RSG and θPV at specific sites reveals that the RSG strongly depends on the θPV, whereas only a minor change in annual energy generation rate (AER) is observed in non-south facing A-PVs. On the other hand, the A-PV facing opposite the possible flight paths and ground routes tends to dramatically decrease RSG. Based on individual site results, we proposed a simple yet effective procedure for optimizing θPV: (i) considering sites where possible routes are located on only one side, (ii) starting the calculation of A-PV’s RSG and AER whose θPV are 135 (East side of the airport) and 225° (West side of the airport), (iii) rotating A-PV southward and repeating it until RSG is negligible, and (iv) determining the θPV as an optimized point. Four case studies from other airports verify that the suggested method could be a universal approach for reducing RSG. We believe that the results presented here will be beneficial for designing glare-free A-PVs without significant sacrifice of energy generation.

2. Simulation Methods

To quantify the effect of θPV on aviation safety, we theoretically calculated the RSG of A-PV using the commercially available Solar Glare Hazard Analysis Tool (SGHAT), which has been widely adopted to calculate RSG for many projects, as summarized in Table S1. Moreover, the aviation safety administrators of many countries (including the Federal Aviation Administrator and the US Department of Defense) have verified the simulation tool [13,30]. The SGHAT interacting with a web-based map service (Google Map) shows potential light reflection from a reflective surface that occurs annually, considering the azimuth and elevation angle of the incident sunlight that varies with season and time [31,32]. The detailed procedure for calculating RSG and AER is shown in Figure 2. The reflectance and light path from A-PV were monitored using the elevation (φsun(t)) and azimuth angle (θsun(t)) of incident solar light to the interface of the air (refractive index of n1) and front glass of the PV module (refractive index of n2) with φPV and θPV. Based on this data, the glare reaching pilots and ground workers was evaluated at each point (α) of the potential route and path. As the glare is mainly affected by the subtended source angle (θSource) and irradiance intensity of light at the observer’s retina (Iretina), these two values were obtained through the SGHAT. Here, we assumed that incident natural light is randomly polarized, and the reflection of A-PV shown in Figure 1 is an average of p and s wave light. If glare occurred, we set that minute as a risk time and repeated the calculation for the next minute. Depending on the intensity of glare, it could be categorized as a low potential of after-image (LPAI) and potential after-image (PAI). The condition of LPAI and PAI will be discussed in the next section. If glare did not occur at point α at a specific minute, we moved to another path point and repeated the glare analysis. If glare was not detected the entire path, the time was defined as a glare-free time. The annual solar glare time (TSG) is the sum of glare minutes when the pilot is under PAI and LPAI. Meanwhile, the AER of each installed A-PV was obtained based on φsun(t), θsun(t), φPV, and θPV under STC conditions (1000 W/m2). Finally, the RSG and AER from the A-PVs were compared by varying their θPV. However, the tool did not consider obstacles (natural or artificial) surrounding A-PVs, such as clouds, trees, hills, and buildings; the RSG and AER may be exaggerated compared with their empirically measured values. Under a cloudy day, the intensity of Iretina will decrease, corresponding with the decreased intensity of normal incident light. Thus, the time for LPAI and PAI would decline.
The airport used to analyze RSG and AER was the Incheon International Airport (ICN) in South Korea, located at 37.46° N, 126.44° E. As shown in Figure 3, there are three runways and two main ground routes in the ICN. Hereafter, we set the θPV of the north and south to 0 and 180°, respectively. The angle of one runway is 160°, whereas the other has an azimuth angle of 150°. When the aircraft takes off and lands on the runway, it requires approximately 3.2 km (2 miles) of the flight path (FP) [13]. As the direction of the aircraft’s final approach routes varies depending on the wind direction and speed, two FPs are set on each runway. Thus, the total possible FPs in ICN is six: FP1 to 6 (marked as solid green lines in Figure 3). Moreover, two main routes (R1 and R2, dashed yellow lines) were selected, where the airplane moved on the ground for taxiing. Meanwhile, we assumed that A-PVs were installed at 12 sites in the ICN. Six A-PVs (W1–W6) were located on the leftmost runway, whereas another four (E1–E4) were on the rightmost runway. Two possible sites (C1 and C2) were considered in the center of the airport, located between R1 and R2. Each site had the same size (70,000 m2), suitable for a 7 MW PV power plant. The φPV of all A-PVs was fixed at 30°, considering the latitude of the airport. It was assumed that smooth glass without antireflection coating covered the A-PVs. The simulation only considered mono-facial PVs rather than bifacial ones because the light reflection from a rear glass in bifacial PV is randomized due to scattered, rear incident light. We believe the mono-facial case results will be similar to those of bifacial PVs.

3. Results

3.1. Glare of A-PVs According to Their Installation Angle at a Single Site

To figure out the general relationship between θPV and RSG, we calculated Iretina and θSource of a pilot in the flight path (FP2) caused by a single A-PV (W1) depending on θPV, as marked in Figure 4 and Figure 5. According to previous studies, the response of the human eye to incident light can be categorized into four sections depending on the Iretina and θSource: (i) no effect, (ii) LPAI, (iii) PAI, and (iv) permanent retina damage (PRD) [9]. Typically, the risk of an accident increases when a person experiences an after-image for a few seconds. Figure 4c displays the ocular impact of light as a function of θSource and Iretina. In cases of weak Iretina and large θSource, the risk of an after-image from light is reduced, defined as LPAI. At the PAI stage, the possibility of an after-image increases due to increased Iretina and narrow θSource. However, discomfort from limited vision is recovered after 4–12 s without PRD. Under extreme Iretina, the retina can irreversibly burn, causing PRD. As PRD typically occurs in light-concentrating systems, it was not expected in A-PVs.
Figure 4a,b show the annual RSG map in FP2 caused by W1 located on its west. When W1 faces southeast (θPV = 135°), W1 bounces off the incident light from the southwest to the pilot in FP2. Remarkably, the reflected light intensity is sufficiently strong to cause LPAI and PAI in pilots. Especially if the pilot is at a low altitude close to W1, they will be exposed to a dangerous situation by a strong reflection of the incident light, marked as LPAI (yellow) and PAI. (red) in Figure 4a. On the other hand, as W1 is rotated to the southwest (θPV = 225°), it does not cause any glare, and thus, the pilot’s vision is not disturbed. Although W1 is rotated at the same angle from the south, generating the same energy, RSG for each case is totally different. As proven by calculated θSource and Iretina in Figure 4c, they are strongly governed by the θPV of W1. As θPV increases from 112.5 to 180°, Iretina increases from 10−3 to 10−2 W/cm2. South-facing W1 may reflect light from the west with a large θi to FP2 for a longer time, whereas the rear reflector (backsheet) of W1 facing eastward bounces off incident light from the west to the outside airport. As a result, the pilots are more frequently exposed to PAI in the south-facing W1 (θPV = 180°) compared with the case of the east-south-east-facing W1 (θPV = 112.5°). Moreover, the PAI became more dominant in the south-facing W1. In contrast, as the A-PV turns from south to west (θPV = 225–247.5°), Iretina from W1 decreases. When θPV is larger than 225°, Iretina is weak enough not to affect the pilot’s vision (not shown in Figure 4c due to decreased intensity). Hence, the angular dependence of Iretina and θSource indicates that the control of θPV is a solution for lowering RSG in A-PVs.
The detailed time and season of PAI and LPAI from W1 are displayed in Figure 5. Typically, the reflectance suddenly increases at the interface between the air and glass when θi exceeds 60°, as marked in Figure 1. Here, θi is determined by φsun(t) and θsun(t). Both angles should be lower than 60° to avoid the RSG. As φsun(t) varies less than 90° throughout the year, A-PVs with a fixed φPV of 30° are free from the source of SG induced by time-varying φsun(t). In contrast, the θsun(t) changes by approximately 120° (winter) to 240° (summer) every day, sufficiently large to increase θi more than 75° at any time. At the moment, A-PV reflects incident solar light to the opposite side with strong intensity, as marked in Figure 1b. Thus, the pilots and workers opposite the incident light might be under the influence of SG. For the case of W1, when the A-PV faces east-south-east (θPV = 112.5°), LPAI occurs in the afternoon (13:00–15:00) from May to August (please see Figure 5a). Solar light from the southwest bounces off to FP2, as shown in Figure 5b. As the φsun(t) is more than 60° during glare occurrence (afternoon of summer), the pilots are influenced by the reflected light with a large elevation angle from the bottom of the flight. Thus, the reflected light affects only for a minimal time and limited area. In addition, PAI is not observed in FP2, where the θPV of W1 is 112.5°. After 15:00, the solar light irradiates the backsheet of W1 and is reflected outside the airport. In addition, from September to April, no glare occurs because of the low φsun(t), owing to the tilt of the Earth’s axis (23.5°). This season, most reflected light passes below the FP2, so the pilots are free from SG.
As W1 rotates southward, the time for SG is shifted to the late afternoon (Figure 5c–h). In the late afternoon, W1 reflects incident light from the west to the pilot moving through FP2, located on its east side. The reflected light interferes with the pilot’s vision near the ground because of the lowered φsun(t). Moreover, the azimuth angle between the south-facing W1 and the incident light from the west increases rapidly, resulting in increased intensity of reflected light. As a result, the south-facing W1 obstructs the pilot’s view for a longer time with increased intensity than the east-south-east-facing counterpart. The time corresponding to the impact of the SG is extended from March to October. Due to increased intensity, pilots are under the influence of PAI during sunset. Although pilots under PAI do not immediately cause accidents, airplanes fly with an increased possibility of collision accidents due to the momentary vision loss of pilots and workers. According to the case of ground vehicle studies conducted in Arizona, USA, drivers under the influence of glare have a 5–10% higher accident probability than others [33]. Considering the annual number of airline flights worldwide (~40 million), the increased possibility of SG from A-PV is not negligible.
In W1 installed in the south-south-west direction (θPV = 202.5°), the TSG decreases compared with the south-facing case, as shown in Figure 5i,j. Here, the SG only occurs after 18:00, from April to October. Before 18:00, the W1 with a θPV of 202.5° reflects incident light from the west outside the airport. In addition, the reflectance is low due to decreased θi, resulting in significantly reduced LPAI and PAI compared with the south-facing case. However, at sunset in the summer, the θsun(t) exceeds 270° (westward). Thus, the intense solar light with a θsun(t) can be transferred to the pilots moving FP2 and R2 in the early evening from May to August.
If we turn W1 further west, pilots on R2 and FP2 will not be affected by SG (not shown in Figure 5). When W1 faces southwest and west-south-west (θPV = 225 and 247.5°), the backsheet of the A-PV scatters the incident light from the east. Due to the diffusive reflection of the backsheet, the incident solar light disperses in random directions with decreased intensity. The result would be similar in the case of bifacial A-PVs because the A-PVs effectively absorb most of the light coming from the east with small θi early in the morning. Additionally, the solar light from the south will bounce off to the northwest side of W1 around noon. As no aviation facilities and flight routes are located on the northwest side of W1, the southwest facing W1 does not affect the pilot’s vision. Furthermore, the solar light from the west is not transferred to the airport owing to the reduced θi. Consequently, the result shows that the A-PV facing the possible routes and flight paths causes SG, whereas the A-PV facing opposite to the potential route and flight path mitigates RSG.

3.2. Glare and AER of A-PVs Located at Various Positions

Rotating A-PV in the opposite direction of FPs and routes effectively reduces RSG and can guarantee pilot safety in the case of W1. To validate this approach at other sites, we calculated the TSG at all possible paths and ground routes from six A-PVs: (i) two installed on the west side of the west runway (W1, W2), (ii) another two on the east side of the east runway (E3, E4), and (iii) the last two located in the middle of the taxiway (C1, C2). Possible ground paths of airplanes surround the C1 and C2 A-PVs, whereas the planes move only on one side of the A-PV in the other cases. For a quantitative comparison at each site, the TSG and the sum of LPAI and PAI from them are simulated under various θPV (112.5–247.5°). As the A-PV is supposed to generate electricity, its AER is also considered at each θPV. Here, AER divides the energy generation of A-PV with a specific angle by that of the south-facing case (θPV = 180°) where power generation is maximized.
Figure 6 shows the calculated TSG and AER of A-PVs depending on the θPV. The results are summarized in Table 1. For the case of W1 and W2, their TSG is extended as θPV increases from 112.5° (facing east-south-east) to 180° (south). Solar light from the east is reflected outside the FPs and routes in the morning, whereas the A-PV sends incident solar light from the south and southwest to the FPs and routes with strong intensity in the afternoon. As a result, TSG increases, and PAI becomes predominant at the A-PV facing south in the afternoon. For example, when θPV of W1 and W2 is 112.5°, the TSG is approximately 4000 min. It gradually increases as W1 and W2 rotate to the south. Finally, the TSG is over 10,000 min when they face south (θPV = 180°). Furthermore, the annual PAI time increases from 0 (θPV = 112.5°) to 10,153 min (θPV = 180°), consistent with the results for W1 (please see Figure 6a). Here, the slight difference in TSG and intensity of glare between the two A-PVs is attributed to the different altitudes of planes at ground routes and FPs. W1 mainly affects pilots in FP2, who are located at a higher altitude than ground routes (R1). On the other hand, the TSG decreases as W1 and W2 face westward, opposite possible routes. As the southwest-facing W1 and W2 (θPV of 225 and 247.5°) mirrors incident light from the south and west to the outside airports, they are glare-free. In the point of AER, increased energy generation of southwest facing W1 and W2 in the afternoon can compensate for their energy loss in the early morning. The AER slightly declines to 0.94 and 0.87 in the cases of θPV of 225 and 247.5°, respectively. However, the significantly reduced RSG of southwest-facing W1 and W2 outweighs the slight energy losses. This result also implies that rearrangement of the A-PV orientation, facing opposite to the possible aircraft routes, leads to reduced RSG of A-PVs with a small sacrifice of energy generation.
The proposed method is also valid for A-PVs located east of airports. Similar to W1 and W2, E3 and E4, facing opposite routes and FPs, are glare-free (Figure 6c,d). Their glare becomes negligible as the θPV of E3 and E4 turns east from the south. Light from the south and southwest with large θi is transferred outside the airport at the southeast-facing E3 and E4. Moreover, light from the west is not a source of SG because the backsheet of A-PV scatters incident light. Thus, it is possible to demonstrate glare-free E3 and E4 with a small sacrifice of energy loss (only 2%) when θPV is 157.5°. In contrast, the southwest-facing E3 and E4 creates glare for pilots by bouncing off the incident light from the south and southeast to the routes and FPs in the morning. In the worst case, where θPV is 247.5°, the TSG exceeds 15,000 min. Here, the angles of R1 and R2 are slightly different; thus, the trends of A-PV located east (E1, E2) and west (W1, W2) are not exactly symmetric. Despite a minor change in TSG in E1 and E2, the result indicates that modifying the θPV of A-PV to opposite possible aircraft routes is a practical approach to reducing the RSG in both cases.
Meanwhile, it is recommended not to install A-PVs inside possible taxiways. Regardless of θPV, C1 and C2 trigger glare in either direction, as shown in Figure 6e,f. When C1 and C2 face westward, they reflect the incident solar light from east to the R1 in the morning. Conversely, when C1 and C2 face eastward, they also cause SG and affect the pilots moving at FP3, FP4, and R2 located on the east side in the afternoon. This implies that A-PVs installed inside the taxiway reflects incident light in its facing direction and causes SG because it always faces flight paths and routes, independent of its θPV. Moreover, installing an A-PV on the roof of a concourse is not recommended because it is usually located in the middle of taxiways.

3.3. Guideline for Designing Glare-Free A-PVs

Throughout these case studies, we found that optimizing θPV paves a way to mitigate glare from A-PVs. Based on the results of the previous section, we propose a general method to optimize the θPV of A-PVs in the northern hemisphere, as shown in Figure 7. Changing the initial position and rotation angle direction would also be effective for A-PVs installed in the southern hemisphere. The suggested method consists of four steps. First, it is required to check whether possible routes and FPs surround planning sites. If the routes and FPs are located on both sides of the site, they should be excluded for A-PVs, as verified in the case of C1 and C2. Second, if FPs and routes are located on only one side of the A-PV, the calculation of TSG should start with the specific conditions. In the case of A-PVs located on the east side of FPs and routes, glare calculation should start at a θPV of 135°, facing opposite the runways and FPs. In contrast, the recommended starting point of θPV is 225° in the case of A-PVs located on the west side of FPs and routes. If the glare is not observed at a specific angle, A-PVs can rotate more southward until TSG is negligible. In contrast, the A-PV should turn in the opposite direction of FPs and routes once glare has been detected. Repeated calculations with a small rotation angle allow one to find better A-PV conditions. However, calculations with a small rotation angle increases the number of steps for the optimization process. As a result, we set the minimum rotating angle of A-PV as 22.5°, considering the trade-off relationship between simplicity and accuracy. Finally, the most southward point is designated as the optimal θPV.

3.4. Glare and AER of A-PVs with Optimized θPV in the ICN

All candidate sites studied in Section 3.3 would not be recommended for installation of A-PVs due to the glare when θPV is 180° (which maximizes energy generation). However, optimizing θPV enables us to increase the number of possible sites for A-PV. According to the proposed method for optimizing the θPV, we designed A-PVs for ICN, as shown in Figure 8. Then, we calculated the minimum required steps to optimize θPV using our proposed method and for methods starting with A-PVs facing south, respectively. In the cases of W1–W6, located on the west side of FP1,2 and route 1, the optimized θPV was 225°. Similarly, all A-PVs located rightmost of the east route (E1–E4) did not cause any SG when their θPV were 135–157.5°. A-PVs situated in the middle of the taxiway (C1, C2) were excluded because they experienced SGs regardless of θPV. Our suggested procedure for optimizing θPV could save time and effort compared with the current method of starting from the south-facing A-PV, as summarized in Table 2. For example, in the cases of W1–W6, we only needed to simulate twice (θPV of 225 and 202.5°) following the suggested method. On the other hand, an additional calculation (θPV of 180, 202.5, and 225°) would be required if someone started the analysis at θPV of 180°. Similarly, the proposed model allows us to decrease the steps for deriving the optimized θPV in the case of E1, compared with starting the calculation from the south-facing A-PV. Moreover, this method would be more effective in the cases of C1 and C2 by eliminating useless calculations of their TSG and AER. As a result, it is possible to save steps in optimizing θPV from 41 to 23. The effect of the proposed model to reduce the number of steps will become more significant, as more sites are considered for A-PVs.
To comprehensively evaluate energy sacrifice for realizing glare-free conditions at ICN, we compared AER and TSG of possible A-PVs with optimized θPV (GF) with south-facing cases for maximizing energy generation (EMax). As glare from C1 and C2 was unavoidable independent of their angle, they were excluded from AER calculations. With only 4.8% of AER sacrifice, the optimized A-PVs successfully generated electricity (Figure 9). Energy loss was mainly attributed to the decreased energy generation of GF cases at noon when the intensity of the incident light is maximized. However, the safety advantage of optimized A-PVs is huge enough to compensate for their energy loss. TSG from all A-PVs declined from 886 (EMax) to 0 h (GF). Despite unavoidable energy losses for the GF, the modification of the θPV allows us to utilize solar energy safely in the case of ICN.

3.5. Verification of Proposed A-PV Azimuth Angle Optimization Method

We verified the proposed method for optimizing θPV of A-PV at four other airports: Gimpo (GMP, Seoul, Korea), Gwangju (KWJ, Gwangju, Korea), Beijing capital (PEK, Beijing, China), and Narita (NRT, Chiba, Japan). These four airports are situated in the northern hemisphere with a latitude of 35–40 degrees. Figure 10 is a satellite map with optimized A-PV for the four airports. For the simulation, we assumed that A-PVs were deployed in the west and east of their possible flight paths. Here, the simulation conditions for the four cases, including tilt of A-PV, weather, flight speed, and position during landing and take-off, are precisely the same as those of ICN. All sites were not suitable for A-PVs with θPV of 180°. Throughout the suggested procedure for optimizing θPV, it was possible to extend installation sites for A-PV without glare issues. The AER and TSG of A-PVs with optimized glare-free conditions (GF) are compared with those of A-PVs facing the true south (EMax), as shown in Figure 11 and summarized in Table 3.
There were seven possible A-PV sites at GMP, with a runway angle of 140°. Two potential locations for A-PVs (GE1 and GE2) were on the runway’s east side, whereas the other five sites, GW1–5, were on its west side. Detailed TSG induced by A-PVs with various θPV is shown in Figure S1. Consistent with the ICN case, E1 and E2 exhibited reduced TSG when they turned east (θPV = 112.5–135°) by absorbing most of the incident sunlight from the east early in the morning. However, if they faced the south and southwest, solar light with a large θi would affect pilots on the routes and flight paths. In contrast, GW1–GW5 with θPV of 225° did not disturb the pilots’ vision at GMP. Thus, the optimized θPV of GW1–GW5 was 225°, whereas that of GE1 and GE2 were 135 and 157.5°, respectively. The differences in optimized θPV between GE1 and GE2 originated from different altitudes of flights near GE1 and GE2. Despite reduced RSG, the attainable energy under GF was 94.6% of A-PVs facing the true south. Moreover, the time for optimizing θPV for each site could be reduced by adopting our suggested procedure. To find the optimized point, south-facing GW1–GW5 must be rotated twice by 22.5 degrees; thus, three sets of calculations (at θPV of 135, 157.5, and 180°) are required. However, our suggested method only requires a two-step calculation (at θPV of 135 and 157.5°).
The proposed method was also valid for the KWJ, whose runways and flight paths are almost symmetrical to the GMP. The runway of KWJ lies at 220°; six different sites were selected for A-PV installation, as shown in Figure 10. KW1–2 was on the west side of the runways, whereas the others were east of the airport (KE1–4). Despite the maximized energy generation in EMax, the sum of TSG from each A-PV exceeded 460 h per year. Due to the reduced angular difference between the route and θPV of A-PV under EMax conditions, most of them were PAI. Detailed TSG induced by south-facing A-PVs is displayed in Figure S2. However, if the A-PVs were rotated to 135° and 202.5° for KE1–2 and KW1–4, respectively, the TSG decreased to zero. In addition, the AER under GF is 0.96, which is only 4% lower than that of EMax. Hence, our proposed method is applicable to design A-PVs for several airports with north-south runways.
We could successfully optimize θPV of A-PVs using the suggested method at PEK and NRT, whose FPs and routes were 170 and 140°, respectively. Due to the limited open area in PEK, potential sites for A-PVs were close to routes. As a result, the TSG from A-PVs was smaller than in other cases. Meanwhile, the potential sites for A-PVs were only on the west of FPs and routes due to existing mountains, buildings, and another route in the east of them. For both cases, the optimized angle for A-PV located on the west side of FPs and routes was 225°. The detailed calculations of TSG and AER are shown in Figure S3. All south-facing A-PVs introduced glare issues to pilots and ground workers at both airports. However, rotating the A-PVs to the southwest made them safe from reflected light. The A-PVs on the east side of the route minimized TSG and maximized AER when their θPV were 135°. The AERs for optimized A-PVs were 0.94 in both cases. This result again indicates that rotating θPV following the suggested procedure contributes to a more sustainable airport without any additional risk.
It should be noted that careful consideration is required for A-PVs installed at airports with east-west runways. In east-west runways, the light reflected by the A-PV facing opposite runways may strongly affect the pilots at sunset and sunrise during the summer because the solar light irradiates from the backside of the A-PVs. The azimuth angle of the solar light is less than 90° (sunrise) and exceeds 270° (sunset). In such cases, the reflected light penetrates the A-PVs backward, where the possible flight path and runway are located. However, the A-PV facing opposite them still exhibits a decreased TSG without significant AER reduction.

4. Conclusions

A-PVs can reduce CO2 emissions in the airport and aviation industry by harvesting solar light in unused areas near runways. However, their unavoidable SG may affect pilot vision and trigger fatal accidents. Establishing a general guideline for mitigating the RSG of A-PVs could facilitate in saving time and expenditures when determining potential A-PV sites. Therefore, to propose an available SG-mitigating approach, we systematically analyzed the RSG of A-PVs to air traffic, depending on their θPV. First, we compared the TSG and AER of A-PVs under various θPV at possible PV installation sites near the runway of ICN. The computational simulation indicated that solar light reflected by the A-PVs could be redirected into the flight path and runway and was sufficiently strong to cause an after-image in pilots and ground workers. Pilots and ground workers could be exposed to SG when light with large θi irradiated the A-PV facing flight paths or runways. In contrast, RSG became negligible in A-PVs facing the opposite direction of flight paths and runways. By modifying the A-PV θPV, designing a glare hazard-free solar energy harvesting system was possible. This approach was valid for reducing the RSG of A-PVs at candidate installation sites of ICN and other airports. As an airport is an almost open space without shading, the sacrifice corresponding to the annual energy generation for SG-free conditions is less than 6% in A-PVs. Moreover, the suggested method allows us to save time and efforts in determining optimized θPV. Pertaining to glare hazards and annual energy generation, we believe that this study could be used as a guideline for installing A-PVs in airports. In addition, the results shown here allowed us to save time and effort in finding SG-free conditions for A-PVs and installing them. As studies on mitigating SG of A-PVs are conducted further, airports will become energy self-sustainable facilities without emitting greenhouse gases.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/su141912781/s1, Table S1: List of previous studies for A-PV [34,35,36,37]; Table S2: The number of steps to optimize θPV in A-PVs in the GMP; Table S3. The number of steps to optimize θPV in A-PVs in the KWJ; Table S4: The number of steps to optimize θPV in A-PVs in the NRT; Table S5: The number of steps to optimize θPV in A-PVs in the PEK; Figure S1: Normalized annual energy rate (AER) and Annual glare time (TSG) of Gimpo International Airport (GMP) in Korea; Figure S2: Normalized annual energy rate (AER) and Annual glare time (TSG) of Gwangju Airport (KWJ) in Korea; Figure S3: Normalized annual energy rate (AER) and annual glare time (TSG) of of Narita International Airport (NRT); Figure S4: Normalized annual energy rate (AER) and Annual glare time (TSG) of Beijing capital airport (PEK).

Author Contributions

Conceptualization, C.K. and H.-J.S.; methodology, C.K.; validation, C.K. and H.-J.S.; formal analysis, C.K.; data curation, C.K.; writing—original draft preparation, C.K.; writing—review and editing, H.-J.S.; supervision, H.-J.S.; project administration, H.-J.S.; funding acquisition, H.-J.S. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Mid-Career Research Program (2022R1A2C1092582) through the National Research Foundation of Korea Grant funded by the Ministry of Science and ICT, Republic of Korea, and the New and Renewable Energy Technology Development Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant (No. 20193010014570), funded by the Ministry of Trade, Industry and Energy, Korea.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data generated during the study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. (a) Photograph of glare from PV without antireflection coating. (b) Reflectance as a function of the incident light angle at the air and smooth glass interface. The red arrow in (b) stands for the path of incident and reflected light.
Figure 1. (a) Photograph of glare from PV without antireflection coating. (b) Reflectance as a function of the incident light angle at the air and smooth glass interface. The red arrow in (b) stands for the path of incident and reflected light.
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Figure 2. (a,b) Schematic of A-PV with solar light and flight. The azimuthal and elevation angles of solar light are θPV (t) and φPV (t), respectively. We assumed that the θPV and φPV were fixed at each calculation. (c) Flow chart to evaluate AER and TSG at the airport. The simulation reflects a change in the incident angle of solar light year around. (d) Flow chart to calculate the glare of observer and pilot at a specific point (α). If the glare is not detected at a particular position, the calculation is conducted at another position. On the other hand, if a glare occurs at that point, the time is marked as glare time, and the calculation will repeat for the next minute.
Figure 2. (a,b) Schematic of A-PV with solar light and flight. The azimuthal and elevation angles of solar light are θPV (t) and φPV (t), respectively. We assumed that the θPV and φPV were fixed at each calculation. (c) Flow chart to evaluate AER and TSG at the airport. The simulation reflects a change in the incident angle of solar light year around. (d) Flow chart to calculate the glare of observer and pilot at a specific point (α). If the glare is not detected at a particular position, the calculation is conducted at another position. On the other hand, if a glare occurs at that point, the time is marked as glare time, and the calculation will repeat for the next minute.
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Figure 3. Satellite map of ICN with 12 possible A-PV sites (W1–W6, E1–E4, C1, and C2), FPs (FP1–6, green solid line), and ground routes (R1 and R2, yellow dashed line). The number of FPs increases counterclockwise, starting in the northwest. Moreover, we set the ground route in the west as R1. As the direction of the flight path changes depending on the wind speed and direction, each runway (one is west of the terminal, whereas the other two are located west of the terminal) has two FPs. We assumed that the flights would take off and land at the end of the skid mark on the runway.
Figure 3. Satellite map of ICN with 12 possible A-PV sites (W1–W6, E1–E4, C1, and C2), FPs (FP1–6, green solid line), and ground routes (R1 and R2, yellow dashed line). The number of FPs increases counterclockwise, starting in the northwest. Moreover, we set the ground route in the west as R1. As the direction of the flight path changes depending on the wind speed and direction, each runway (one is west of the terminal, whereas the other two are located west of the terminal) has two FPs. We assumed that the flights would take off and land at the end of the skid mark on the runway.
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Figure 4. Possible SG points in the FP2 from W1 whose θPV is (a) 135 and (b) 225°, respectively. Here, we set the center of W1 as (0, 0). The solid sky-blue line indicates a 2-mile (3.2 km) potential flight path (FP2) without glare from W1. On the other hand, the pilot in the red and yellow lines are under PAI and LPAI, respectively. The graph reveals that the A-PV facing the FP increases the LPAI and PAI, whereas the opposite-facing A-PV mitigates RSG. Here, the arrow indicates the direction in which A-PV is facing. (c) Glare hazard plot of pilots in FP2 from W1 as a function of the retinal irradiance and subtended source angle. Here, θPV of A-PV varies from 112.5 to 202.5°.Each point represents predicted SG over 200 min.
Figure 4. Possible SG points in the FP2 from W1 whose θPV is (a) 135 and (b) 225°, respectively. Here, we set the center of W1 as (0, 0). The solid sky-blue line indicates a 2-mile (3.2 km) potential flight path (FP2) without glare from W1. On the other hand, the pilot in the red and yellow lines are under PAI and LPAI, respectively. The graph reveals that the A-PV facing the FP increases the LPAI and PAI, whereas the opposite-facing A-PV mitigates RSG. Here, the arrow indicates the direction in which A-PV is facing. (c) Glare hazard plot of pilots in FP2 from W1 as a function of the retinal irradiance and subtended source angle. Here, θPV of A-PV varies from 112.5 to 202.5°.Each point represents predicted SG over 200 min.
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Figure 5. Annual predicted glare occurrence time for pilots moving FP2 (green solid line) and R1 (yellow dashed line) caused by W1, whose θPV is (a) 112.5, (c) 135, (e) 157.5, (g) 180, and (i) 202.5°, respectively. The corresponding possible light paths of reflected light are shown in (b,d,f,h,j), respectively. The calculated time for PAI and LPAI are marked in red and yellow, respectively. The red arrow on the map is possible glare for pilots by the light reflected by A-PVs. Glare from W1 is mainly caused by light from the west side in the afternoon and early evening.
Figure 5. Annual predicted glare occurrence time for pilots moving FP2 (green solid line) and R1 (yellow dashed line) caused by W1, whose θPV is (a) 112.5, (c) 135, (e) 157.5, (g) 180, and (i) 202.5°, respectively. The corresponding possible light paths of reflected light are shown in (b,d,f,h,j), respectively. The calculated time for PAI and LPAI are marked in red and yellow, respectively. The red arrow on the map is possible glare for pilots by the light reflected by A-PVs. Glare from W1 is mainly caused by light from the west side in the afternoon and early evening.
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Figure 6. TSG and AER of (a) W1, (b) W2, (c) E3, (d) E4, (e) C1, and (f) C2, depending on θPV. The graphs show that the A-PV facing FPs and routes cause RSG, whereas TSG can be significantly suppressed in the A-PV facing the opposite direction. Moreover, sites surrounded by FPs and routes were not suitable for A-PVs.
Figure 6. TSG and AER of (a) W1, (b) W2, (c) E3, (d) E4, (e) C1, and (f) C2, depending on θPV. The graphs show that the A-PV facing FPs and routes cause RSG, whereas TSG can be significantly suppressed in the A-PV facing the opposite direction. Moreover, sites surrounded by FPs and routes were not suitable for A-PVs.
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Figure 7. Flow chart to determine the θPV of A-PVs. Here, we set the correction as ± 22.5 to optimize θPV for simplicity. The small-angle correction enables us to find better A-PV conditions.
Figure 7. Flow chart to determine the θPV of A-PVs. Here, we set the correction as ± 22.5 to optimize θPV for simplicity. The small-angle correction enables us to find better A-PV conditions.
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Figure 8. Optimized θPV of the A-PVs in the ICN. The optimized installation angle of W1–W6 was 225°, whereas the E1 and E4 minimized their RSG when they were oriented at 135 and 157.5°, without significantly reduced AER. PV panel icons near each site represent an optimized θPV. With the proposed A-PV design approach, A-PVs can be installed in many potential areas of the ICN with saved time and effort.
Figure 8. Optimized θPV of the A-PVs in the ICN. The optimized installation angle of W1–W6 was 225°, whereas the E1 and E4 minimized their RSG when they were oriented at 135 and 157.5°, without significantly reduced AER. PV panel icons near each site represent an optimized θPV. With the proposed A-PV design approach, A-PVs can be installed in many potential areas of the ICN with saved time and effort.
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Figure 9. Total TSG and AER of 10 possible A-PVs in ICN with the condition of EMax and GF. With 4.8% of energy sacrifice, a glare-free solar energy harvesting system can be realized.
Figure 9. Total TSG and AER of 10 possible A-PVs in ICN with the condition of EMax and GF. With 4.8% of energy sacrifice, a glare-free solar energy harvesting system can be realized.
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Figure 10. Optimized θPV of the potential A-PVs at (a) GMP, (b) KWJ, (c) PEK, and (d) NRT. Similar to the ICN case, the optimized θPV of the A-PVs were the opposite direction of FPs and routes. These results show that this suggested model is valid at other airports.
Figure 10. Optimized θPV of the potential A-PVs at (a) GMP, (b) KWJ, (c) PEK, and (d) NRT. Similar to the ICN case, the optimized θPV of the A-PVs were the opposite direction of FPs and routes. These results show that this suggested model is valid at other airports.
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Figure 11. Total TSG and AER of A-PVs in (a) GMP, (b) KWJ, (c) PEK, and (d) NRT under the conditions of EMax and GF.
Figure 11. Total TSG and AER of A-PVs in (a) GMP, (b) KWJ, (c) PEK, and (d) NRT under the conditions of EMax and GF.
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Table 1. TSG (minutes) and AER of A-PVs with various θPV.
Table 1. TSG (minutes) and AER of A-PVs with various θPV.
θPV112.5°135°157.5°180°202.5°225°247.5°
A-PV
W1TSG389913,31014,22314,232686000
AER0.870.940.9810.980.940.87
W2TSG427212,76715,81615,742759100
AER0.870.940.9810.980.940.87
E3TSG000123709810,98013,990
AER0.870.940.9810.980.940.87
E4TSG00053111,61115,24417,547
AER0.870.940.9810.980.940.87
C1TSG479168636104965499342414906
AER0.870.940.9810.980.940.87
C2TSG227319946965682468726344236
AER0.870.940.9810.980.940.87
Table 2. The number of steps to optimize θPV in A-PVs. Here, we assumed that the minimum rotation angle of θPV was 22.5 degrees.
Table 2. The number of steps to optimize θPV in A-PVs. Here, we assumed that the minimum rotation angle of θPV was 22.5 degrees.
SitesW1W2W3W4W5W6C1C2E1E2E3E4Sum
Model
Proposed22222200233323
Start from south facing A-PV33333377322241
Table 3. LPAI, PAI (minute), and AER of A-PVs installed at GMP, KWJ, PEK and NRT.
Table 3. LPAI, PAI (minute), and AER of A-PVs installed at GMP, KWJ, PEK and NRT.
SiteGMPKWJPEKNRT
LPAIPAIAERLPAIPAIAERLPAIPAIAERLPAIPAIAER
EMax65134,837115827,542131064803148932,3981
GF.000.94000.96000.94000.94
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Kim, C.; Song, H.-J. Glare-Free Airport-Based Photovoltaic System via Optimization of Its Azimuth Angle. Sustainability 2022, 14, 12781. https://doi.org/10.3390/su141912781

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Kim C, Song H-J. Glare-Free Airport-Based Photovoltaic System via Optimization of Its Azimuth Angle. Sustainability. 2022; 14(19):12781. https://doi.org/10.3390/su141912781

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Kim, Chungil, and Hyung-Jun Song. 2022. "Glare-Free Airport-Based Photovoltaic System via Optimization of Its Azimuth Angle" Sustainability 14, no. 19: 12781. https://doi.org/10.3390/su141912781

APA Style

Kim, C., & Song, H. -J. (2022). Glare-Free Airport-Based Photovoltaic System via Optimization of Its Azimuth Angle. Sustainability, 14(19), 12781. https://doi.org/10.3390/su141912781

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