Next Article in Journal
Research on the Factors Influencing Broken-Bridge Aluminum Exterior Windows with the Goal of Thermal Performance Improvement
Previous Article in Journal
A Study on the Effect of Perceived Functional Risk on the Public’s Purchase Intention in Green Sports Stadium Services—Based on the Perspective of Motivational Protection Theory
Previous Article in Special Issue
Key Competencies of Built Environment Professionals for Achieving Net-Zero Carbon Emissions in the Ghanaian Construction Industry
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Development of a Solar-Tracking Movable Louver with a PV Module for Building Energy Reduction

by
Sowon Han
1,
Janghoo Seo
2,* and
Heangwoo Lee
3,*
1
Department of Design, Graduate School, Sangmyung University, Cheonan-si 31066, Republic of Korea
2
School of Architecture, Kookmin University, Seoul 136-702, Republic of Korea
3
College of Design, Sangmyung University, Cheonan-si 31066, Republic of Korea
*
Authors to whom correspondence should be addressed.
Buildings 2025, 15(12), 2100; https://doi.org/10.3390/buildings15122100
Submission received: 13 May 2025 / Revised: 11 June 2025 / Accepted: 14 June 2025 / Published: 17 June 2025
(This article belongs to the Special Issue Energy Efficiency and Carbon Neutrality in Buildings)

Abstract

In response to rising energy consumption in buildings, this study proposes a solar-tracking movable louver integrated with a photovoltaic (PV) module and evaluates its performance to verify its energy-saving potential. First, the louver system can be configured as either vertical or horizontal by modularizing and rotating its slats. A solar-tracking mechanism for single-axis louver control was also developed and proven effective. Second, for optimal energy-saving performance, the louver operation must respond to external environmental conditions. Its control should account for PV power generation and building energy demands for heating, cooling, and lighting to maintain comfortable indoor and outdoor environments. Third, the proposed louver system achieved a building energy reduction of 4.7–8.8% compared to conventional fixed technologies. However, in winter, the louver may obstruct solar gains, potentially diminishing its effectiveness in reducing energy consumption. While this study demonstrates the potential of the proposed louver technology for energy efficiency, it is limited by the scope of environmental and operational conditions considered in the performance evaluation. Further studies under diverse climatic scenarios are necessary to substantiate its broader applicability.

1. Introduction

According to the Global Energy Trends 2023 report published by Enerdata, global energy consumption in 2022 increased by 1.7% compared to pre-pandemic levels, with this upward trajectory projected to continue [1]. This ongoing increase is expected to double or even triple by the mid-21st century [2]. The sustained rise in energy consumption presents a critical challenge, as it contributes to elevated CO2 emissions, exacerbating air pollution, and global warming [3]. A significant driver of this trend is the building sector, which has witnessed a marked surge in energy use [4,5,6]. The 2022 Global Status Report for Buildings and Construction, published by the Global Alliance for Buildings and Construction, reports that, in 2021, the buildings and construction sector accounted for 34% of total global energy consumption. Furthermore, energy use in buildings reached an all-time high in 2021, marking an approximate 4% increase from 2020. This underscores that the energy consumption of the building sector exceeds that of both the industrial and transportation sectors [7]. Consequently, reducing energy consumption in buildings has become a pressing issue, with research actively underway in areas such as building envelopes [8,9,10], green retrofitting [11,12,13], and environmentally friendly construction materials [14,15,16]. Among these strategies, louvers have emerged as a representative building envelope technology. Installed primarily on windows, louvers function as shading devices and are recognized for their simple structure and high efficiency in daylighting and shading. This has led to increasing application and research interest [17,18]. Recent studies have integrated photovoltaic (PV) systems into louver slats, adjusting their angles to enhance energy performance and reduce building energy demand [19,20,21]. However, these studies have primarily concentrated on maximizing power generation, without fully leveraging the respective advantages and disadvantages of vertical and horizontal louver configurations.
In response, this study proposes a movable louver system composed of vertical slats capable of reconfiguring between vertical and horizontal orientations. It aims to develop a louver-based technology that not only enhances PV power generation through solar tracking but also contributes to building energy reduction and improved indoor lighting environments.

1.1. Types of Louvers and Literature Review

Louvers are common external shading systems installed on windows to regulate the amount of natural light entering indoor spaces [22,23]. By adjusting the slat angles, louvers can provide partial or complete shading while also enabling daylighting, as illustrated in Figure 1 [24]. This capability allows them to reduce cooling energy consumption during summer by limiting the heat gain caused by solar radiation [25].
Louvers are generally classified as vertical, horizontal, or mixed types based on their installation orientation and shading approach, as summarized in Table 1 [26,27]. Vertical louvers are most effective for blocking sunlight when the sun is at lower angles in the east or west, making them ideal for installation on the east and west facades of buildings [28]. Horizontal louvers, in contrast, are effective in shielding against high-angle sunlight typical of summer and are best suited for south-facing windows [29]. In winter, adjusting the slat angles of horizontal louvers can allow low-angle solar radiation to enter indoor spaces, contributing to passive heating and energy savings [30,31]. Therefore, the choice between vertical and horizontal louvers should be made with careful consideration of solar orientation and environmental context. Mixed-type louvers, which combine elements of both vertical and horizontal configurations, offer the benefits of each. However, they tend to increase the shading surface area, potentially obstructing outdoor views and limiting solar heat gain. This makes them less effective in winter, when increased solar penetration is desirable for heating efficiency [30,31].
This study reviewed previous research on louver systems [19,20,21,32,33,34,35,36,37], as summarized in Table 2. Prior studies primarily focus on technological development and performance evaluation based on slat specifications. Among these, several have examined the integration of photovoltaic (PV) modules into louver slats to reduce building energy consumption [19,32,33,34,35]. However, research incorporating actual solar-tracking mechanisms into louver systems remains limited. Recent advancements in louver technologies have introduced non-traditional configurations, enhancing performance through novel forms and adaptive behaviors [20,21,36,37]. Nevertheless, such complex forms often entail significant challenges in terms of maintenance and operability. In contrast, the louver system proposed in this study retains the simple and practical structure of conventional vertical and horizontal louvers. It differentiates itself by integrating both PV modules and a solar-tracking mechanism to evaluate the resulting performance improvements. This approach aims to balance technological enhancement with structural simplicity and ease of management.

1.2. PV Module Concept

PV modules are composed of multiple interconnected PV cells, which serve as the fundamental units of solar power generation [38,39]. As illustrated in Figure 2, a PV cell is typically formed by joining P-type and N-type semiconductors, each possessing distinct electrical properties. To assemble a PV module, multiple PV cells are connected using conductive ribbons that facilitate the flow of current between cells [40]. When photons strike the surface of a PV cell, they are absorbed by the semiconductor material, generating electron–hole pairs. The excited electrons migrate toward the N-type semiconductor, while the corresponding holes move toward the P-type region. These separated charge carriers are driven through an external low-resistance circuit, producing an electric current and thereby generating electrical power. The efficiency of a PV cell is significantly influenced by temperature; as the cell temperature increases, its efficiency tends to decrease [41,42,43]. In addition, PV cells achieve their highest efficiency when sunlight strikes them perpendicularly. Any deviation from this optimal angle reduces the intensity of light absorption and thereby lowers the energy conversion efficiency [44,45].
PV cells are generally classified into two major categories: crystalline and thin-film types. Crystalline cells are further subdivided into monocrystalline and polycrystalline types based on their fabrication processes. While monocrystalline PV cells offer higher efficiency than polycrystalline variants, they are also associated with higher production costs [46]. In this study, crystalline PV modules were integrated onto the planar slats of the louver system.

1.3. Concept of Solar-Tracking Technology

Solar-tracking technology in photovoltaic (PV) systems is designed to enhance the performance of fixed solar generation systems by rotating PV modules along the sun’s trajectory [47]. By adjusting the orientation of solar panels to follow the sun’s movement, this technology significantly improves power output and conversion efficiency, making it a critical component in various solar energy applications [48].
Solar-tracking methods are broadly categorized into program-based and sensor-based systems [49,50,51]. Program-based tracking utilizes astronomical algorithms that define the relative motion of the Earth and the sun. This method calculates the sun’s position in real time based on geographic coordinates and time data for a specific location. Since it operates according to predefined algorithms, it is unaffected by weather conditions, offering the advantage of eliminating unnecessary mechanical movements. However, it lacks adaptability to dynamic environmental factors such as cloud cover or shading [52]. In contrast, sensor-based tracking systems use multiple light sensors mounted on the tracking structure to detect the direction of maximum solar irradiance. By comparing the light intensity received by each sensor, the system adjusts the PV module’s orientation accordingly. This method enables responsiveness to changing weather and environmental conditions, thereby enhancing overall energy yield. However, it is generally less accurate in determining the exact solar position compared to program-based systems. Solar-tracking devices are also classified by the number of axes involved in the tracking mechanism, as shown in Table 3. These include single-axis and dual-axis systems. A single-axis solar tracker rotates around one axis—either aligned with the solar azimuth (east–west) or the solar altitude (elevation)—to follow the sun’s daily movement [53,54]. Typically, the system tilts the PV module toward the north while tracking the sun’s position from east to west, thereby improving solar concentration and power generation. Single-axis trackers offer enhanced mechanical stability and increased energy output with relatively simple structure. However, they are limited to tracking the sun’s daily movement and do not accommodate seasonal altitude variations, which reduces overall tracking precision and efficiency. Dual-axis trackers use two perpendicular axes to follow both the solar azimuth and altitude angles. This configuration enables comprehensive tracking throughout the day and across seasons, accounting for annual changes in the sun’s position [55,56]. Dual-axis systems can employ either passive or active tracking mechanisms. Although they provide superior energy gains and flexibility compared to single-axis systems, they suffer from increased structural complexity. The PV module is typically connected to the tracking frame only at the central rear, which weakens mechanical integrity and increases the risk of damage under adverse weather conditions [57].

2. Materials and Methods

2.1. Design Suggestion for a PV-Integrated Movable Louver System Utilizing Solar-Tracking Technology

The solar-tracking-based movable louver system proposed in this study is designed to improve photovoltaic (PV) generation efficiency by integrating solar-tracking technology with PV-attached slats. The system also allows for seamless transformation between vertical and horizontal louver configurations, thereby optimizing the shading and daylighting benefits of both types. The system is initially configured as a vertical louver, as shown in Figure 3a. Each slat is divided into modular segments, which are mechanically linked to rotate synchronously at a fixed angle. This design enables the structure to transform into a horizontal louver configuration, thereby combining the benefits of both orientations. The transformation capability allows the louver to be controlled dynamically in response to external environmental conditions, such as sun position and seasonal variations. In addition, as shown in Figure 3b, the slat support frames are designed to shift and overlap in one direction, enabling improved visibility and increased solar access in winter to reduce heating energy demand. Each slat module incorporates a PV panel on one side and a high-reflectivity aluminum surface on the opposite side, which reflects approximately 90% of incident light. By adjusting the slat angle, the system can either generate electricity or enhance indoor lighting, depending on orientation and seasonal need. As shown in Figure 3a, the system includes a solar-tracking device mounted at the top to adjust the slat angles in real time. This tracking mechanism uses a single-axis drive system and features a “┴”-shaped cross-section with a protruding center, as shown in Figure 4. Light sensors are positioned symmetrically on either side of the central protrusion. As the tracker rotates around a pivot axis, the irradiance values measured by the two sensors vary based on the angle of incidence from the sun. When the difference in sensor readings decreases, the sensor surface becomes more perpendicular to sunlight (Figure 4b). This principle allows the system to track the sun’s position accurately and apply the optimal slat angle for both shading and PV performance. Moreover, as shown in Figure 3d, the slat module support frames can move laterally to create an open-louver configuration, further enhancing view access and daylight penetration.

2.2. Performance Evaluation Environment Setup

To evaluate the performance of the solar-tracking-based movable louver with a PV module, this study constructed a testbed capable of simulating artificial climatic conditions. As illustrated in Figure 5, the testbed comprises four main components: an indoor space, a daylighting window, an artificial climate chamber, and an energy monitoring system.
The setup is detailed as follows. First, the indoor test space has internal dimensions of 6.6 m × 4.9 m × 2.5 m, with walls constructed from 0.1 m thick insulated panels. The surface reflectance values for the floor, walls, and ceiling are 25%, 46%, and 86%, respectively. Second, the indoor space includes four LED-type lighting fixtures and one floor-standing air conditioner, both of which were used to evaluate the energy-saving performance of the louver system. The lighting system supports eight levels of dimming, excluding the OFF state. The installation positions of the lighting fixtures follow the Illuminating Engineering Society (IES) four-point method [58]. Third, eight illuminance sensors were installed within the space, as shown in Figure 5. These were positioned at a height of 0.85 m above the floor to align with the typical working plane height. A temperature sensor was installed at the center of the interior space to monitor ambient thermal conditions. Fourth, the daylighting window into which the proposed louver was installed measures 1.9 m × 1.7 m. The window is composed of double-glazed panes with a light transmittance of 80%. Notably, the window is not centered on the wall but positioned off to one side, as per the testbed configuration. Fifth, the artificial climate chamber is equipped with a solar irradiation apparatus and a temperature control system. The solar simulator can replicate solar azimuth and altitude angles by adjusting both the intensity and elevation of artificial light. This Grade-A simulator, compliant with ASTM E927-85 international standards, ensures high measurement accuracy and reliability [59]. However, due to equipment constraints, it can simulate solar azimuth angles only within the range of 120° to 190°. Finally, the study implemented control of lighting and HVAC systems to maintain appropriate indoor illuminance and thermal comfort levels. Power consumption associated with these operations was continuously recorded using an integrated energy monitoring system.

2.3. Performance Evaluation Method

This study evaluates the shading and power generation performance of the solar-tracking-based movable louver system with an integrated PV module, as proposed in Section 2.1. The evaluation methodology is detailed below.
To verify the effectiveness of the proposed system (Case 4), three reference configurations were established for comparison: vertical louvers (Case 1), horizontal louvers (Case 2), and mixed-type louvers (Case 3). The specifications for each case are presented in Table 4. Slat dimensions were determined based on the physical size of the PV cells used. In Cases 1 and 2, PV cells are affixed to one side of each slat. In Case 3, vertical slats are installed on both lateral sides of the window, while horizontal slats with PV cells are mounted on top. The proposed Case 4 adopts a configuration similar to Case 1 but incorporates modular slats, resulting in a slight reduction in total PV cell count. In addition, Case 4 offers dynamic transformation between vertical and horizontal orientations. As illustrated in Figure 6, the slat angles in Cases 1 and 2 are adjustable within a range of 180°, in 15° increments. For Case 4, the slat modules rotate within a full 360° range, also in 15° increments, allowing for enhanced operational flexibility. PV specifications are summarized in Table 5. Slats or modules without PV cells were treated with aluminum surfaces having a reflectivity of 90% to support daylight reflection.
Second, a mockup was fabricated to evaluate the performance of the proposed louver system. This mockup was constructed using the profiles shown in Figure 7. A solar-tracking device, illustrated in Figure 7e, was mounted on the upper portion of the structure. The specifications of the pyranometer (illuminance sensor) used in the solar-tracking device are presented in Table 6. White-painted aluminum was used for the rear part of the louver system, with a reflectance of 0.6.
Third, the study calculated the electricity generated by the PV modules attached to the louvers. This was performed by recording the voltage at the maximum power point (Vmp) and the corresponding current (Imp) and then calculating the power output as the product of these two values. Since the total PV module area differed across the four test cases, the power generation values were normalized to a per-square-meter basis (W/m2) to enable fair comparison among cases.
Fourth, lighting energy consumption was evaluated based on the required dimming levels necessary to maintain appropriate indoor illuminance, with the goal of ensuring a visually comfortable environment. A target indoor illuminance of 500 lx was established in accordance with the general office lighting standards specified by the IES of North America [60]. Dimming control was implemented when the minimum illuminance value among the ten installed indoor sensors fell below 500 lx. The dimming level was increased incrementally, starting with the light closest to the sensor registering the lowest value. This process continued until all sensors measured illuminance levels of 500 lx or higher. Lighting energy consumption was derived based on the final dimming configuration for each scenario, providing a basis for evaluating the lighting energy reduction potential of each louver configuration. Lastly, the study determined the optimal slat and slat module angles for minimizing lighting energy consumption. These were defined as the angles at which energy use was lowest. In cases where multiple angles yielded the same minimum energy consumption, the optimal angle was selected based on the highest minimum illuminance value among the sensors—thereby prioritizing uniform lighting distribution while achieving energy efficiency.
Fifth, this study evaluated the operation of air conditioning systems required to maintain appropriate indoor temperatures across different louver configurations. Based on prior research [61], the target indoor temperatures were set to 26 °C for summer and 20 °C for winter. Instead of using the built-in temperature sensor of the air conditioner, this study used a centrally located sensor installed in the middle of the indoor space (as shown in Figure 5). This sensor provided real-time feedback for controlling the air conditioner, enhancing the accuracy and responsiveness of indoor temperature regulation. Heating and cooling energy consumption was monitored to assess the thermal energy-saving performance of each louver configuration. To ensure the validity of the temperature-based evaluation, lighting levels were kept constant at a designated dimming setting during the measurement of heating and cooling energy usage. This control ensured that lighting did not introduce variability in thermal load conditions.
Sixth, the performance evaluation was conducted under controlled seasonal conditions using the artificial climate chamber integrated into the testbed. This study was conducted in Seoul, South Korea, which has distinct seasonal climatic changes. Seoul sits at a latitude of 37.57° N and a longitude of 126.98°; the external environmental conditions of the artificial climate chamber were set based on the climate data of this region. The criteria reflected the climatic characteristics of a typical mid-latitude city and ensured the generalizability of performance evaluations. As presented in Table 7, the environmental parameters were simulated in one-hour intervals from 10:00 a.m. to 2:00 p.m. Due to equipment constraints in the artificial solar radiation system, the 10:00 a.m. condition was partially adjusted to align with the testbed’s physical limitations. Each time slot simulated solar azimuth, altitude, external illuminance, and solar radiation levels consistent with seasonal variations. The seasonal temperature settings of the artificial climate chamber were based on the 30-year average climate data for Seoul provided by the Korea Meteorological Administration [61]. Additionally, the solar radiation of the artificial solar radiation system was measured based on illuminance control. The solar radiation information was calculated based on the solar radiation value that reached the vertical surface of the window where the louver was installed (Table 7).

3. Results and Discussion

3.1. Performance Evaluation Results

To validate the effectiveness of the solar-tracking-based movable louver system with a PV module (Case 4), comparative performance evaluations were conducted against existing louver technologies (Cases 1–3). The results are as follows.
First, the functionality of the solar-tracking system was verified by analyzing the ratio of illuminance sensor values recorded between 12:00 and 13:00 in both summer and winter conditions. As shown in Figure 8, the ratio was calculated by dividing the lower illuminance sensor value by the higher one. This ratio was used to determine the directional alignment of the solar-tracking device. In addition, the study evaluated power generation in Case 4 by varying the slat module angle. The resulting power generation curve exhibited a pattern similar to the sensor ratio trend observed in the solar-tracking system. When the maximum power output of the slat module and the maximum sensor ratio were normalized to the same reference, the average difference between the two indicators was found to be 9.9%. This close correlation demonstrates the functional validity and effectiveness of the solar-tracking device developed in this study.
Second, Figure 9 presents the power output of the PV modules based on the slat and module angles for each case. For the vertical louver configuration (Case 1), the optimal slat angles to maximize power generation during summer from 10:00 a.m. to 2:00 p.m. were identified as 60°, 30°, 0°, and −30°, respectively. In winter, the corresponding optimal angles were 30°, 15°, 0°, and 0°. The total power generation for Case 1, using these optimal angles, amounted to 1.326 kWh. For the horizontal louver configuration (Case 2), the optimal slat angles during summer were 60°, 75°, 75°, and 75°, while in winter they were 15°, 30°, 30°, and 30°, respectively. The resulting total power generation was 1.366 kWh. The mixed louver configuration (Case 3) was assumed to remain static (non-operational) during the performance evaluation. Despite its larger number of PV modules, the total power generation was 1.539 kWh. For the solar-tracking-based movable louver proposed in this study (Case 4), the optimal slat module angles between 10:00 a.m. and 2:00 p.m. were 60°, 75°, 90°, and 105° in summer and 45°, 75°, 90°, and 105° in winter. The total power generation for Case 4 was 1.387 kWh. These results demonstrate that adapting the slat angle in response to external environmental conditions improves PV generation efficiency. Although Case 4 has fewer PV cells than Cases 1 and 2, its total power generation was 4.4% higher than Case 1 and 1.5% higher than Case 2 when operated at optimal angles. More notably, when normalized by PV module area (1 m2), Case 4 achieved 23.3% and 10.3% higher power generation compared to Cases 1 and 2, respectively, as shown in Table 8. Although Case 3 incorporated 58.3%, 63.3%, and 66.7% more PV cells than Cases 1, 2, and 4, respectively, its power generation only increased by 13.1%, 11.2%, and 9.9% compared to each of those cases. This limited performance is attributed to the fixed nature of Case 3 and its structural design, which includes PV modules on both sides of vertical slats. Due to direct sunlight conditions, only one side receives effective irradiance, while the other remains shaded. Furthermore, the combination of vertical and horizontal slats causes mutual shading, further reducing overall PV efficiency.
Third, the lighting energy consumption required to maintain appropriate indoor brightness for each case is illustrated in Figure 10. In Case 1 (vertical louver), the optimal slat angles for reducing lighting energy between 10:00 a.m. and 2:00 p.m. were −90°, −90°, 90°, and 75° during summer and −90°, −90°, 90°, and 90° during winter. Based on these angles, the total lighting energy consumption was 0.831 kWh, as shown in Table 9. For Case 2 (horizontal louver), the optimal slat angles were 150°, 165°, 165°, and 165° during summer and 105°, 120°, 120°, and 120° during winter. The total lighting energy consumption in this case was 0.843 kWh. Case 3 (mixed louver), which was non-operational during evaluation, consumed 0.970 kWh of lighting energy. In Case 4 (the proposed solar-tracking-based movable louver), the optimal slat module angles for reducing lighting energy were 255°, 195°, 240°, and 270° in summer and 195°, 195°, 240°, and 240° in winter. The total lighting energy consumption under these optimal angle conditions was the lowest among all cases at 0.825 kWh. This represents a reduction in lighting energy consumption by 0.7%, 2.1%, and 10.8% compared to Cases 1, 2, and 3, respectively. However, when Case 4 was operated using angles derived from the solar-tracking device—optimized for PV power generation rather than lighting—its total lighting energy consumption was 0.950 kWh. This outcome highlights the trade-off between maximizing power generation and minimizing lighting energy use, as the optimal slat angle for lighting reduction does not always align with that for PV efficiency. During the 10:00–11:00 and 11:00–12:00 time periods, Case 1 demonstrated effective lighting energy reduction by reflecting natural light into parts of the room distant from the daylighting window, as shown in Figure 11. This effect is attributed to the asymmetrical placement of the window in the testbed, which is offset to one side. Similarly, in Case 4, the optimal slat module angles for lighting reduction exceeded 180°, enabling effective reflection of natural light from the rear aluminum panel (opposite the PV side) into the interior space.
Fourth, the heating and cooling energy consumption required to maintain appropriate indoor temperatures for each case is shown in Figure 12. These calculations were performed in conjunction with dimming control for lighting to ensure consistent indoor illuminance levels. During summer, the optimal slat angles for reducing cooling energy from 10:00 a.m. to 2:00 p.m. were 0° for all time intervals in Case 1 and 0° (or 180° due to the horizontal orientation) for all intervals in Case 2. The corresponding cooling energy consumption was 1.574 kWh for Case 1 and 1.619 kWh for Case 2. In both cases, it was beneficial to block direct sunlight to minimize internal heat gain, making a slat angle of 0° preferable. During winter, the optimal slat angles for maximizing solar heat gain and thus reducing heating energy consumption were −45°, −90° (or 90°), −90° (90°), and −90° (90°) in Case 1 and 105°, 120°, 120°, and 120° in Case 2. The calculated heating energy usage was 2.643 kWh for Case 1 and 2.746 kWh for Case 2. These results suggest that maximizing indoor solar exposure through open slat angles is effective in reducing heating demand. In Case 3 (mixed louver), the total heating and cooling energy consumption was 4.864 kWh, which is 1.2% and 3.1% higher than in Cases 1 and 2, respectively. This increase is attributed to its fixed structure, which prevents the system from adapting to varying external environmental conditions. In Case 4 (proposed louver system), the heating and cooling energy consumption based on the optimal slat module angles was 5.0% higher than that of Case 1. This is primarily due to its structural configuration, which slightly reduces its ability to block solar radiation. However, when Case 4 was operated using the solar-tracking system—optimized for PV generation—the total heating and cooling energy dropped to 4.503 kWh. This variation again highlights the performance trade-offs between optimizing for energy savings and for solar energy production.

3.2. Discussion

This study compared and analyzed the energy reduction performance of the solar-tracking-based movable louver with a PV module (Case 4) against conventional louver systems. Table 10 presents the optimal slat/module angles for each case when considering three criteria in combination: PV module power generation, lighting energy consumption required to maintain appropriate indoor illuminance, and heating/cooling energy required for thermal comfort. These integrated optimal angles differ from the individually optimized values previously shown in Table 8, Table 9 and Table 11, which were based on single-parameter evaluations. This indicates that controlling louver slats in PV-integrated systems should not rely solely on maximizing PV power generation but must also consider overall building energy usage, including lighting and HVAC loads. The proposed system (Case 4) incorporates solar tracking to autonomously respond to changing environmental conditions and combines the advantages of both vertical and horizontal louver orientations. As a result, Case 4 achieved overall energy reductions of 4.7%, 8.8%, and 5.9% compared to Cases 1 (vertical), 2 (horizontal), and 3 (mixed fixed), respectively. Although Case 4 does not optimize for lighting and heating/cooling energy directly—being driven by solar-tracking logic to enhance PV output—it still demonstrates superior overall performance. Importantly, Case 4 utilizes a smaller PV surface area than the other cases, yet it achieves comparable or improved results, underscoring its efficiency and practicality. In addition, this study examined the benefit of increasing solar access during winter to reduce heating energy consumption. As shown in Figure 3d and Figure 7d, an additional performance evaluation was conducted in which the slat modules were retracted to one side of the daylighting window to maximize solar radiation. Under this configuration, the total energy consumption was measured at 2.259 kWh (Table 12). This represents an average energy reduction of 14.5% compared to the scenarios where the louver remained in standard operating positions, highlighting the effectiveness of passive solar gain strategies during colder seasons.

4. Conclusions

This study proposed a solar-tracking-based movable louver integrated with a photovoltaic (PV) module to enhance the energy performance of conventional louvers. The effectiveness of the system was verified through controlled testbed experiments, and the following conclusions were drawn:
First, the proposed louver system is fundamentally based on a vertical configuration. However, by modularizing the slats and allowing them to rotate, the system can be transformed into either vertical or horizontal configurations. This design enables the benefits of both louver types. A solar tracking device is mounted at the top of the structure, operating on a single-axis rotation mechanism. It features two illuminance sensors positioned on either side of a frame with a cross-sectional shape resembling “┴”. When the difference in sensor readings decreases, the angle of the sensor surface approaches perpendicularity to the sunlight, thus enabling accurate solar tracking based on this principle.
Second, to improve PV power generation, it is essential for sunlight to strike the PV modules perpendicularly. Therefore, the operation of the louver system should be adjusted according to the time of day. The proposed system achieved increases in power generation of 4.4% and 1.5% compared to vertical and horizontal louvers, respectively, when operated at optimal angles. Notably, this performance was achieved despite using fewer PV cells. In contrast, the mixed louver, despite having the largest number of PV cells, showed lower energy efficiency because it was fixed and unable to adapt to changing conditions.
Third, this study considered not only PV power generation but also lighting and heating/cooling energy requirements in evaluating louver performance. The analysis showed that the optimal slat angles for minimizing total energy consumption differ from those that only maximize PV output. This finding highlights the importance of integrated energy management. When accounting for all three energy components—PV generation, lighting, and thermal loads—the proposed louver system reduced total energy consumption by 4.7%, 8.8%, and 5.9% compared to vertical, horizontal, and mixed louver systems, respectively. This demonstrates the proposed system’s effectiveness in comprehensive energy savings.
Fourth, in winter, applying PV modules to the louver slats is not as effective for reducing total energy consumption. Instead, allowing natural sunlight to penetrate indoor spaces is more beneficial for minimizing lighting and heating energy. Therefore, the system is designed with an open–close mechanism to allow the slats to be retracted when solar radiation is desirable, as demonstrated in the winter energy-saving scenario. This highlights the importance of adaptable control based on seasonal and environmental conditions.
This study was validated through performance evaluations to verify the effectiveness of technology development aimed at improving the energy reduction performance of louvers. However, the performance evaluations were conducted only under limited conditions, such as specific regions and time periods. Furthermore, the performance evaluations were conducted with an artificial environment rather than a real one. The artificial sunlight used in this study was also limited in its simulation of the azimuth angle of the actual sun. As a result, additional constraints arose from conducting performance evaluations restricted to specific time periods. Therefore, it is necessary to conduct follow-up performance evaluations considering various temporal, climatic, and environmental conditions in the future.

Author Contributions

Conceptualization, S.H. and H.L.; Methodology, S.H.; Writing—original draft preparation, S.H.; Writing—review and editing, J.S. and H.L.; Funding acquisition, H.L.; Visualization, S.H.; Investigation, S.H.; Formal analysis, S.H.; Supervision, H.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (RS-2023-00208303).

Data Availability Statement

Data generated or analyzed during the current study are available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Grobal Energy Trends 2023. Available online: https://www.enerdata.co.kr/publications/reports-presentations/world-energy-trends.html (accessed on 15 June 2023).
  2. Barea, G.; Victoria Mercado, M.; Filippín, C.; Monteoliva, J.M.; Villalba, A. New paradigms in bioclimatic design toward climatic change in arid environments. Energy Build. 2022, 266, 100–112. [Google Scholar] [CrossRef]
  3. Amasyali, K.; El-Gohary, N.M. A review of data-driven building energy consumption prediction studies. Renew. Sustain. Energ. Rev. 2018, 81, 1192–1205. [Google Scholar] [CrossRef]
  4. Uddin, M.; Ruva, I.; Syed, M.; Hossain, D.; Akter, R.; Tamanna, N.; Rahman, A.; Saka, A. Occupant centric energy renovation strategy for hospital and restaurant building envelop using distinct modelling tools: A case study from low income cultural context. Energy Build. 2022, 272, 112–338. [Google Scholar] [CrossRef]
  5. Wang, Y.; Dong, Q.; Guo, H.; Yin, L.; Gao, W.; Yao, W.; Sun, L. Indoor thermal comfort evaluation of traditional dwellings in cold region of china: A case study in Guangfu ancient city. Energy Build. 2023, 288, 113–128. [Google Scholar] [CrossRef]
  6. Gupta, G.; Mathur, S.; Mathur, J.; Nayak, B.K. Comparison of energy-efficiency benchmarking methodologies for residential buildings. Energy Build. 2023, 285, 112–920. [Google Scholar] [CrossRef]
  7. 2022 Global Status Report for Buildings and Construction. Available online: https://www.unep.org/resources/publication/2022-global-status-report-buildings-and-construction (accessed on 9 November 2022).
  8. Moazzeni, M.H.; Ghiabaklou, Z. Investigating the influence of light shelf geometry parameters on daylight performance and visual comfort, a case study of educational space in Tehran, Iran. Buildings 2016, 6, 26. [Google Scholar] [CrossRef]
  9. Soliman, M.E.; Bo, S. An innovative multifunctional biomimetic adaptive building envelope based on a novel integrated methodology of merging biological mechanisms. J. Build. Eng. 2023, 76, 106995. [Google Scholar] [CrossRef]
  10. Han, S.; Lee, M.; Lee, H. Effectiveness of internal light shelves to improve daylighting. Build. Simul. 2025, 18, 747–763. [Google Scholar] [CrossRef]
  11. Kim, J.; Ko, W.; Kim, J.; Byun, J.; Nam, S.; Jeong, S. Analyzing the environmental impacts and empirical limitations of green remodeling with life cycle assessment. Buildings 2025, 15, 783. [Google Scholar] [CrossRef]
  12. Jaradat, H.; Alshboul, O.A.M.; Obeidat, I.M.; Zoubi, M.K. Green building, carbon emission, and environmental sustainability of construction industry in Jordan: Awareness, actions and barriers. Ain Shams Eng. J. 2024, 15, 102–441. [Google Scholar] [CrossRef]
  13. Qiang, G.; Tang, S.; Hao, J.; Di Sarno, L.; Wu, G.; Ren, S. Building automation systems for energy and comfort management in green buildings: A critical review and future directions. Renew. Sust. Energ. 2023, 179, 113–301. [Google Scholar] [CrossRef]
  14. Xu, J.; Sun, J.; Zhao, J.; Zhang, W.; Zhou, J.; Xu, L.; Guo, H.; Liu, Y.; Zhang, D. Eco-friendly wood plastic composites with biomass-activated carbon-based form-stable phase change material for building energy conversion. Ind. Crops Prod. 2023, 197, 116–573. [Google Scholar] [CrossRef]
  15. Amin, M.S.; Heikal, M.; Negm, H.H.; Abu-Dief, A.M.; Mohamed, O.A. Manufacture of eco-friendly cementitious building materials of high performance from Egyptian industrial solid wastes. Constr. Build. Mater. 2023, 406, 133–446. [Google Scholar] [CrossRef]
  16. Sierra-Pérez, J.; López-Forniés, I.; Boschmonart-Rives, J.; Gabarrell, X. Introducing eco-ideation and creativity techniques to increase and diversify the applications of eco-materials: The case of cork in the building sector. J. Clean. Prod. 2016, 137, 606–616. [Google Scholar] [CrossRef]
  17. Hammad, F.; Abu-Hijleh, B. The energy savings potential of using dynamic external louvers in an office building. Energy Build. 2010, 42, 1888–1895. [Google Scholar] [CrossRef]
  18. Saelens, D.; Parys, W.; Roofthooft, J.; de la Torre, A.T. Assessment of approaches for modeling louver shading devices in building energy simulation programs. Energy Build. 2013, 60, 286–297. [Google Scholar] [CrossRef]
  19. Jung, S.K.; Kim, Y.; Moon, J.W. Performance evaluation of control methods for PV-integrated shading devices. Energies 2020, 13, 3171. [Google Scholar] [CrossRef]
  20. Yi, H.; Kim, Y. Prototyping of 4D-printed self-shaping building skin in architecture: Design, fabrication, and investigation of a two-way shape memory composite (TWSMC) façade panel. J. Build. Eng. 2021, 43, 103–176. [Google Scholar] [CrossRef]
  21. Reichert, S.; Menges, A.; Correa, D. Meteorosensitive architecture: Biomimetic building skins based onmaterially embedded and hygroscopically enabled responsiveness. Comput. Aid. Des. 2015, 60, 50–69. [Google Scholar] [CrossRef]
  22. Iqbal, W.; Ullah, I.; Hussain, A.; Cho, M.; Park, J.; Lee, K.; Shin, S. Optimizing energy efficiency: Louver systems for sustainable building design. Buildings 2025, 15, 1183. [Google Scholar] [CrossRef]
  23. Tao, S.; Yu, N.; Jiang, F.; Su, X.; Zhao, K. Correlations for forced convective heat transfer coefficients at the windward building façade with vertical louvers. Build. Environ. 2023, 242, 110–611. [Google Scholar] [CrossRef]
  24. Luo, Z.; Sun, C.; Dong, Q.; Qi, X. Key control variables affecting interior visual comfort for automated louver control in open-plan office—A study using machine learning. Build. Environ. 2022, 207, 108–565. [Google Scholar] [CrossRef]
  25. Pourshab, N.; Tehrani, M.D.; Toghraie, D.; Rostami, S. Application of double glazed façades with horizontal and vertical louvers to increase natural air flow in office buildings. Energy 2020, 200, 117–486. [Google Scholar] [CrossRef]
  26. Rafati, N.; Hazbei, M.; Eicker, U. Louver configuration comparison in three Canadian cities utilizing NSGA-II. Build. Environ. 2023, 229, 109–939. [Google Scholar] [CrossRef]
  27. Kangazian, A.; Emadian Razavi, S.Z. Multi-criteria evaluation of daylight control systems of office buildings considering daylighting, glare and energy consumption. Sol. Energy 2023, 263, 111–928. [Google Scholar] [CrossRef]
  28. Palmero-Marrero, A.I.; Oliveira, A.C. Effect of louver shading devices on building energy requirements. Appl. Energy 2010, 87, 2040–2049. [Google Scholar] [CrossRef]
  29. Luca, F.; Varjas, A. Multi-performance optimization of static shading devices for glare, daylight, view and energy consideration. Build. Environ. 2022, 217, 109–110. [Google Scholar] [CrossRef]
  30. Fang, J.; Zhao, Y.; Tian, Z.; Lin, P. Analysis of dynamic louver control with prism redirecting fenestrations for office daylighting optimization. Energy Build. 2022, 262, 112–119. [Google Scholar] [CrossRef]
  31. Alhuwayil, W.K.; Almaziad, F.A.; Abdul Mujeebu, M. Energy performance of passive shading and thermal insulation in multistory hotel building under different outdoor climates and geographic locations. Case Stud. Therm. Eng. 2023, 45, 102–940. [Google Scholar] [CrossRef]
  32. Mandalaki, M.; Tsoutsos, T.; Papamanolis, N. Integrated PV in shading systems for Mediterranean countries: Balance between energy production and visual comfort. Energy Build. 2014, 77, 445–456. [Google Scholar] [CrossRef]
  33. Peng, J.; Lu, L.; Yang, H. An experimental study of the thermal performance of a novel photovoltaic double-skin facade in Hong Kong. Sol. Energy 2013, 97, 293–304. [Google Scholar] [CrossRef]
  34. Chow, T.T.; Pei, G.; Chan, L.S.; Lin, Z.; Fong, K.F. A comparative study of PV glazing performance in warm climate. Indoor Built Environ. 2009, 18, 32–40. [Google Scholar] [CrossRef]
  35. Kim, J.J.; Jung, S.; Choi, Y.; Kim, J. Optimization of photovoltaic integrated shading devices. Indoor Built Environ. 2010, 19, 114–122. [Google Scholar] [CrossRef]
  36. Kim, M.; Kim, B.; Koh, J.; Yi, H. Flexural biomimetic responsive building façade using a hybrid soft robot actuator and fabric membrane. Autom. Constr. 2023, 145, 104–660. [Google Scholar] [CrossRef]
  37. Abdel-Rahman, W.S.M. Thermal performance optimization of parametric building envelopebased on bio-mimetic inspiration. Ain Shams Eng. J. 2021, 12, 1133–1142. [Google Scholar] [CrossRef]
  38. Alimi, O.A.; Meyer, E.L.; Olayiwola, O.I. Solar photovoltaic modules’ performance reliability and degradation analysis—A review. Energies 2022, 15, 5964. [Google Scholar] [CrossRef]
  39. Li, Z.; Ji, J.; Yuan, W.; Zhao, B.; Zhou, F.; Muin Uddin, M.; Ren, X.; Yu, B.; Song, Z. Experimental & numerical investigation and optimization on a novel flat-plate PV/T system using CdfTe thin-film solar modules of sandwich structure. Sol. Energy 2021, 223, 261–277. [Google Scholar] [CrossRef]
  40. Han, S.; Lee, H. Evaluation of energy performance and daylight utilization in light shelves integrated with transparent solar panels. Energy 2025, 326, 136336. [Google Scholar] [CrossRef]
  41. Huld, T.; Amillo, A.M. Estimating PV module performance over large geographical regions: The role of irradiance, air temperature, wind speed and solar spectrum. Energies 2015, 8, 5159–5181. [Google Scholar] [CrossRef]
  42. Lu, Y.; Li, G. Potential application of electrical performance enhancement methods in PV/T module. Energy 2023, 281, 128–253. [Google Scholar] [CrossRef]
  43. Han, S.; Seo, J.; Lee, H. Verification of the effectiveness of transparent photovoltaics according to the transmittance level in Seoul, South Korea. Sol. Energy 2025, 294, 113511. [Google Scholar] [CrossRef]
  44. Hu, Y.; Shen, H.; Yao, Y. A novel sun-tracking and target-aiming method to improve the concentration efficiency of solar central receiver systems. Renew. Energ. 2018, 120, 98–113. [Google Scholar] [CrossRef]
  45. Lu, J.; Hajimirza, S. Optimizing sun-tracking angle for higher irradiance collection of PV panels using a particle-based dust accumulation model with gravity effect. Sol. Energy 2017, 158, 71–82. [Google Scholar] [CrossRef]
  46. Fazal, M.A.; Rubaiee, S. Progress of PV cell technology: Feasibility of building materials, cost, performance, and stability. Sol. Energy 2023, 258, 203–219. [Google Scholar] [CrossRef]
  47. Pirayawaraporn, A.; Sappaniran, S.; Nooraksa, S.; Prommai, C.; Chindakham, N.; Jamroen, C. Innovative sensorless dual-axis solar tracking system using particle filter. Appl. Energy 2023, 338, 120–946. [Google Scholar] [CrossRef]
  48. Hafez, A.Z.; Yousef, A.M.; Harag, N.M. Solar tracking systems: Technologies and trackers drive types—A review. Renew. Sustain. Energ. Rev. 2018, 91, 754–782. [Google Scholar] [CrossRef]
  49. Carballo, J.A.; Bonilla, J.; Roca, L.; Berenguel, M. New low-cost solar tracking system based on open source hardware for educational purposes. Sol. Energy 2018, 174, 826–836. [Google Scholar] [CrossRef]
  50. Boukdir, Y.; Omari, H. Novel high precision low-cost dual axis sun tracker based on three light sensors. Heliyon 2022, 8, e12412. [Google Scholar] [CrossRef]
  51. Mamodiya, U.; Tiwari, N. Dual-axis solar tracking system with different control strategies for improved energy efficiency. Comput. Electr. Eng. 2023, 111, 109–920. [Google Scholar] [CrossRef]
  52. Achkari, O.; El Fadar, A.; Amlal, I.; Haddi, A.; Hamidoun, M.; Hamdoune, S. A new sun-tracking approach for energy saving. Renew. Energ. 2021, 169, 820–835. [Google Scholar] [CrossRef]
  53. Mpodi, E.K.; Tjiparuro, Z.; Matsebe, O. Review of dual axis solar tracking and development of its functional model. Procedia Manuf. 2019, 35, 580–588. [Google Scholar] [CrossRef]
  54. Zhu, Y.; Liu, J.; Yang, X. Design and performance analysis of a solar tracking system with a novel single-axis tracking structure to maximize energy collection. Appl. Energy 2020, 264, 114–647. [Google Scholar] [CrossRef]
  55. Saymbetov, A.; Mekhilef, S.; Kuttybay, N.; Nurgaliyev, M.; Tukymbekov, D.; Meiirkhanov, A.; Dosymbetova, G.; Svanbayev, Y. Dual-axis schedule tracker with an adaptive algorithm for a strong scattering of sunbeam. Sol. Energy 2021, 224, 285–297. [Google Scholar] [CrossRef]
  56. Alomar, O.R.; Ali, O.M.; Ali, B.M.; Qader, V.S.; Ali, O.M. Energy, exergy, economical and environmental analysis of photovoltaic solar panel for fixed, single and dual axis tracking systems: An experimental and theoretical study. Case Stud. Therm. Eng. 2023, 51, 103–635. [Google Scholar] [CrossRef]
  57. Awasthi, A.; Shukla, A.K.; Murali Manohar, S.R.; Dondariya, C.; Shukla, K.N.; Porwal, D.; Richhariya, G. Review on sun tracking technology in solar PV system. Energy Rep. 2020, 6, 392–405. [Google Scholar] [CrossRef]
  58. Illuminating Engineering Society. The Lighting Handbook, 10th ed.; Illuminating Engineering Society (IES): New York, NY, USA, 2011. [Google Scholar]
  59. Zhao, X.; Seo, J.; Lee, H. Performance evaluation of a light shelf with a folding reflector (LSFR) to improve daylighting performance. Build. Environ. 2024, 255, 111457. [Google Scholar] [CrossRef]
  60. Lee, H.; Kim, S.; Seo, J. Evaluation of a light shelf based on energy consumption for lighting and air conditioning. Indoor Built Environ. 2018, 27, 1405–1414. [Google Scholar] [CrossRef]
  61. Korea Meteorological Administration. Available online: https://www.kma.go.kr/eng/weather/climate/worldclimate.jsp (accessed on 8 June 2025).
Figure 1. Shading and daylighting effects according to louver slat angles.
Figure 1. Shading and daylighting effects according to louver slat angles.
Buildings 15 02100 g001
Figure 2. Structure and working principle of PV cell.
Figure 2. Structure and working principle of PV cell.
Buildings 15 02100 g002
Figure 3. Configuration and operation of the solar-tracking-based movable louver with a PV module: (a) System configuration and angle control (slat angle 135°), (b) Slat angle 180°, (c) Slat angle 90°, (d) Open configuration via slat frame movement.
Figure 3. Configuration and operation of the solar-tracking-based movable louver with a PV module: (a) System configuration and angle control (slat angle 135°), (b) Slat angle 180°, (c) Slat angle 90°, (d) Open configuration via slat frame movement.
Buildings 15 02100 g003
Figure 4. Structure and operation principle of the solar tracking device for the proposed louver system: (a) Angle control of the solar tracking device, (b) Principle of solar tracking based on the difference in illuminance sensor values.
Figure 4. Structure and operation principle of the solar tracking device for the proposed louver system: (a) Angle control of the solar tracking device, (b) Principle of solar tracking based on the difference in illuminance sensor values.
Buildings 15 02100 g004
Figure 5. Testbed configuration for performance evaluation.
Figure 5. Testbed configuration for performance evaluation.
Buildings 15 02100 g005
Figure 6. Angle setting for Cases 1, 2, and 4: (a) Slat module angle of Case 1, (b) Slat module angle of Case 2, (c) Slat module angle of Case 4.
Figure 6. Angle setting for Cases 1, 2, and 4: (a) Slat module angle of Case 1, (b) Slat module angle of Case 2, (c) Slat module angle of Case 4.
Buildings 15 02100 g006
Figure 7. Mockup production for performance evaluation: (a) Slat module angle at 0°, (b) Slat module angle at 45°, (c) Slat module angle at 90°, (d) Open configuration via slat movement, (e) Solar-tracking device.
Figure 7. Mockup production for performance evaluation: (a) Slat module angle at 0°, (b) Slat module angle at 45°, (c) Slat module angle at 90°, (d) Open configuration via slat movement, (e) Solar-tracking device.
Buildings 15 02100 g007
Figure 8. Comparison between the south-facing PV power generation and the illuminance sensor ratio of the solar-tracking device: (a) Summer, (b) Winter.
Figure 8. Comparison between the south-facing PV power generation and the illuminance sensor ratio of the solar-tracking device: (a) Summer, (b) Winter.
Buildings 15 02100 g008
Figure 9. PV power generation by case: (a) Summer (Case 1), (b) Winter (Case 1), (c) Summer (Case 2), (d) Winter (Case 2), (e) Case 3, (f) Summer (Case 4), (g) Winter (Case 4).
Figure 9. PV power generation by case: (a) Summer (Case 1), (b) Winter (Case 1), (c) Summer (Case 2), (d) Winter (Case 2), (e) Case 3, (f) Summer (Case 4), (g) Winter (Case 4).
Buildings 15 02100 g009
Figure 10. Lighting energy consumption by case: (a) Summer–Case 1, (b) Winter–Case 1, (c) Summer–Case 2, (d) Winter–Case 2, (e) Case 3, (f) Summer–Case 4, (g) Winter–Case 4.
Figure 10. Lighting energy consumption by case: (a) Summer–Case 1, (b) Winter–Case 1, (c) Summer–Case 2, (d) Winter–Case 2, (e) Case 3, (f) Summer–Case 4, (g) Winter–Case 4.
Buildings 15 02100 g010
Figure 11. Inflow process of Case 1 from 11:00 to 12:00 during summer based on slat angle (plan view): (a) Slat angle of −60°, (b) Slat angle of −90°.
Figure 11. Inflow process of Case 1 from 11:00 to 12:00 during summer based on slat angle (plan view): (a) Slat angle of −60°, (b) Slat angle of −90°.
Buildings 15 02100 g011
Figure 12. Heating and cooling energy usage by case: (a) Summer–Case 1, (b) Winter–Case 1, (c) Summer–Case 2, (d) Winter–Case 2, (e) Case 3, (f) Summer–Case 4, (g) Winter–Case 4.
Figure 12. Heating and cooling energy usage by case: (a) Summer–Case 1, (b) Winter–Case 1, (c) Summer–Case 2, (d) Winter–Case 2, (e) Case 3, (f) Summer–Case 4, (g) Winter–Case 4.
Buildings 15 02100 g012
Table 1. Types and characteristics of louver.
Table 1. Types and characteristics of louver.
TypeCharacteristicsBest OrientationImage
HorizontalOverhang-Prevents the rise of hot air from outside
-Potential risk of damage due to wind pressure and snow accumulation
SouthBuildings 15 02100 i001
Overhang with Multiple Blades-Installed in the form of multiple horizontal slats
-Potential risk of damage due to wind pressure and snow accumulation
SouthBuildings 15 02100 i002
Overhang Horizontal Louvers-Horizontal slats divided into uniform sizes
-Allows free movement of air
-Low snow and wind load
SouthBuildings 15 02100 i003
Overhang Vertical Panel-Allows free movement of air
-Low risk of damage due to snowfall
-Causes visual obstruction
South, East, WestBuildings 15 02100 i004
VerticalVertical Fin-Typically used only in hot climates for north-facing windows
-May obstruct visibility
East, WestBuildings 15 02100 i005
Slanted Vertical Fin-Installed at an angle (not perpendicular) to the window
-May obstruct visibility
East, WestBuildings 15 02100 i006
MixedEggcrate-Used in very hot climates
-Tends to trap hot air
-Causes high visual obstruction
East, WestBuildings 15 02100 i007
Eggcrate with Horizontal Louvers-Applies horizontal slats in the form of overhang horizontal louvers
-Partially mitigates the trapping of hot air
-Suitable for use in very hot climates
-Causes high visual obstruction
East, WestBuildings 15 02100 i008
Table 2. Review of previous studies on louver shading systems.
Table 2. Review of previous studies on louver shading systems.
Reference ObjectiveLouverPV ApplicationUse of Solar-Tracking Technology
Type (Shape)Width (m)Angle
[19]Developed optimal control for BIPV to improve energy efficiency and visual comfortHorizontal-−78° to 78°Applied
(PV attached to only half of the slats)
Not applied
[20]Developed three prototype adaptive facade systems compatible with curvature by applying biomimicry and SMCA shape that mimics the curvature of a fabric membrane-Changes by 20°Not appliedNot applied
[21]Presented a responsive envelope using hygroscopic material propertiesA form that mimics the shape and function of cactus stomata-It closes at 50% relative humidity and opens at 85%Not appliedNot applied
[32]Evaluated fixed shading systems with integrated solar power generation in Mediterranean countriesHorizontal--Applied
(Attached to the top surface)
Not applied
[33]Developed a new ventilated BIPV double skin facade system consisting of transparent amorphous silicon PV modules and inward-opening windowsHorizontal1.1FixedApplied
(Only to the external glass)
Not applied
[34]Assessed translucent PV ventilated glazing for energy and cost savingsHorizontal0.88-Applied
(Attach translucent PV to the window)
Not applied
[35]Tested prototype PV-integrated louver system for optimal shading, daylighting, and solar energy productionHorizontal0.41−90°, −60°, −30°, 0°, 30°, 60°, 90°Applied
(PV attached only to 2/3 of slats)
Not applied
[36]Hybridized the physical characteristics of thermodynamic SMA springs and PFEA, which balance forces, to propose facade panel module designsA form that mimics cactus surface-The length changes to 31.5, 50.7, and 68.1mm depending on the pressureNot appliedNot applied
[37]Designed building envelopes for improved thermal performance through a biomimetic optimization algorithmA form that mimics the hygroscopic structure of a pine cone-Optimal rotation angle 43°, optimal enclosure angle 69°Not appliedNot applied
Table 3. Operating method for solar tracking.
Table 3. Operating method for solar tracking.
MethodCharacteristicsImage
Single-axis tracking method-Pivots along a single axis responding to the sun’s azimuth or altitude (divided into vertical and horizontal tracking)
-Tracks the sun’s movement from east to west based on its position
-Stability and power generation efficiency can be improved with external support
-Does not account for external factors such as weather and shading
Buildings 15 02100 i009
Dual-axis tracking method-Rotates around two perpendicular axes, simultaneously tracking solar azimuth and altitude angles
-Produces energy at a faster rate than single-axis tracking systems
-Tracks both the sun’s movement from east to west and its altitude
-Less affected by clouds and other environmental conditions
Buildings 15 02100 i010
Table 4. Case setting for performance evaluation.
Table 4. Case setting for performance evaluation.
CaseImageLouver TypeMovable or NotSlatSlat modulePV Module Area (Number of PV Cells Used)
CountSizeSpacingAngleSizeAngle
1Buildings 15 02100 i011VerticalFixed50.03 m (W) × 0.35 m (D) × 1.65 m (H)0.375 mMoves within a range of −90° to 90° in 15° increments--2.43 m2
(100)
2Buildings 15 02100 i012HorizontalFixed41.85 m (W) × 0.35 m (D) × 0.03 m (H)0.41 mMoves within a range of 0° to 180° in 15° increments--2.14 m2
(88)
3Buildings 15 02100 i013MixedFixed9Combination of Cases 1 and 2Vertical 0.37 m, horizontal 0.41 m0--5.84 m2
(240)
4Buildings 15 02100 i014Vertical and horizontalMovable5Each slat is divided into 4 modules-0°, 90°0.03 m (W) × 0.31 m (D) × 0.38 m (H)Moves within a range of 0° to 360° in 15° increments1.95 m2
(80)
Table 5. Specifications of the PV Cell.
Table 5. Specifications of the PV Cell.
ItemSpecificationsItemSpecifications
TypeMonocrystalline SiliconOpen-Circuit Voltage0.678 V
Max. Power (Pmax)5.35 WFill Factor80.75%
Voltage at Max. Power Point (Vmpp)0.577 VSize0.156 m × 0.156 m
Current at Max. Power Point9.329 ACell Efficiency21.9%
Table 6. Specifications of the illuminance sensor used in the solar-tracking device.
Table 6. Specifications of the illuminance sensor used in the solar-tracking device.
SpecificationsValuesSpecificationsValues
ModelML-02Non-linearity at 1000 W/m2<0.2%
Wavelength range400~1100 nmDirectional response at 1000 W/m2<10 W/m2
Response time 95%<1 msSensitivity (μV/W/m2)Approx. 50
Non-stability (change/year)±2%Operating temperature range–30 to +70
Table 7. Simulated solar altitude, external illuminance, and solar radiation by time for summer and winter.
Table 7. Simulated solar altitude, external illuminance, and solar radiation by time for summer and winter.
SeasonTemperature of the Artificial Climate ChamberExternal Illuminance, Azimuth Angle, Solar Altitude, and Solar Radiation by Time Zone
10:00–11:0011:00–12:0012:00–13:0013:00–14:00
Summer27.1 °C70 k lx, 120°, 60°
530 W/m2
75 k lx, 150°, 70°
574 W/m2
80 k lx, 180°, 76.5°
638 W/ m2
70 k lx, 203°, 70°
574 W/m2
Winter–3.2 °C20 k lx, 157°, 22.5°
289 W/m2
25 k lx, 172°, 28°
296 W/m2
30 k lx, 180°, 29.5°
332 W/m2
20 k lx, 187°, 26.5°
296 W/m2
Table 8. Optimal angles and total power generation for improving power generation by case.
Table 8. Optimal angles and total power generation for improving power generation by case.
CaseOptimal Angle of the Slat Module for Improving Power GenerationTotal Power Generation
(kWh)
Power Generation per 1 m2 (kWh)
SummerWinter
10:00–11:0011:00–12:0012:00–13:0013:00–14:0010:00–11:0011:00–12:0012:00–13:0013:00–14:00
160°30°–30°30°15°1.3260.546
260°75°75°75°15°30°30°30°1.3660.638
3--------1.5390.264
460°75°90°105°45°75°90°105°1.3870.711
Table 9. Optimal angles and total lighting energy usage for reducing lighting energy consumption by case.
Table 9. Optimal angles and total lighting energy usage for reducing lighting energy consumption by case.
CaseOptimal Angle of the Slat Module for Improving Power GenerationTotal Lighting Energy Consumption
(kWh)
SummerWinter
10:00–11:0011:00–12:0012:00–13:0013:00–14:0010:00–11:0011:00–12:0012:00–13:0013:00–14:00
1–90°–90°90°75°–90°–90°90°90°0.831
2150°165°165°165°105°120°120°120°0.843
3--------0.970
4* 255°195°240°270°195°195°240°240°0.825
** 60°75°90°105°45°75°90°105°0.950
* Slat module angle control to reduce lighting energy consumption in Case 4. ** Operation based on the optimal angle derived from the solar-tracking device of Case 4.
Table 10. Total energy consumption based on the optimal slat/module angles for integrated energy reduction by case.
Table 10. Total energy consumption based on the optimal slat/module angles for integrated energy reduction by case.
CaseOptimal Angle of the Slat Module for Energy ReductionTotal Summer Energy Usage (kWh)Total Winter Energy Usage
(kWh)
* Total Energy Usage
(kWh)
SummerWinter
10:00–11:0011:00–12:0012:00–13:0013:00–14:0010:00–11:0011:00–12:0012:00–13:0013:00–14:00
160°30°–30°–30°90°–90°–90°1.4242.8444.268
260°75°60°75°105°120°60°120°1.4932.9654.458
3--------1.4312.8894.320
460°75°90°105°45°75°90°105°1.4252.6424.067
* Energy consumption total (kWh) = PV module power generation−Lighting energy consumption−Heating and cooling energy consumption.
Table 11. Optimal angles and total heating and cooling energy usage for reducing energy consumption by case.
Table 11. Optimal angles and total heating and cooling energy usage for reducing energy consumption by case.
CaseOptimal Angle of the Slat Module to Improve the Total Heating and Cooling Energy UsageTotal Cooling Energy
(kWh)
Total Heating Energy
(kWh)
Total Heating and Cooling Energy
(kWh)
SummerWinter
10:00–11:0011:00–12:0012:00–13:0013:00–14:0010:00–11:0011:00–12:0012:00–13:0013:00–14:00
1–45°–90° (90°)–90° (90°)–90° (90°)1.5742.6434.217
20° (180°)0° (180°)0° (180°)0° (180°)105°120°120°120°1.6192.7464.365
3--------1.7873.0774.864
4* 90°60°90°90°180°270°1.7152.6284.343
** 60°75°90°105°45°75°90°105°1.7182.7854.503
* Controlling the angle of the slat module to reduce heating and cooling energy consumption in Case 4. ** Operation based on the optimal angle derived from the solar-tracking device in Case 4.
Table 12. Total energy consumption of the open structure through slat movement in winter (Case 4).
Table 12. Total energy consumption of the open structure through slat movement in winter (Case 4).
PV Module Power Generation (kWh)Total Lighting Energy (kWh)Total Heating Energy (kWh)* Total Energy Usage (kWh)
0.0140.1762.0972.259
* Energy consumption total (kWh) = PV module power generation−Lighting energy consumption−Heating and cooling energy consumption.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Han, S.; Seo, J.; Lee, H. Development of a Solar-Tracking Movable Louver with a PV Module for Building Energy Reduction. Buildings 2025, 15, 2100. https://doi.org/10.3390/buildings15122100

AMA Style

Han S, Seo J, Lee H. Development of a Solar-Tracking Movable Louver with a PV Module for Building Energy Reduction. Buildings. 2025; 15(12):2100. https://doi.org/10.3390/buildings15122100

Chicago/Turabian Style

Han, Sowon, Janghoo Seo, and Heangwoo Lee. 2025. "Development of a Solar-Tracking Movable Louver with a PV Module for Building Energy Reduction" Buildings 15, no. 12: 2100. https://doi.org/10.3390/buildings15122100

APA Style

Han, S., Seo, J., & Lee, H. (2025). Development of a Solar-Tracking Movable Louver with a PV Module for Building Energy Reduction. Buildings, 15(12), 2100. https://doi.org/10.3390/buildings15122100

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