A Systematic Review of the Scalability of Building-Integrated Photovoltaics from a Multidisciplinary Perspective
Abstract
1. Introduction
2. Methodology
2.1. Search Strategy and PRISMA Framework
2.2. Keyword Framework and Classification
2.3. Screening Process and Eligibility Criteria
2.4. Data Extraction
2.5. Thematic Synthesis Approach
3. Results
3.1. Overall Analysis
3.2. The Impact of Photovoltaic Façades on Building Thermal Performance
- (1)
- Thermal outcomes fall into bounded, repeatable ranges once the operating regime is aligned. Across ventilated cavities and PCM buffering, PV/module temperature moderation most often lies in the single-digit to low-double-digit °C band: modest airflow/operation changes typically yield ~1–2 °C, while effective ventilation or latent buffering repeatedly reports ~6–11 °C reductions. PCM solutions also provide time-domain benefits (peak delays of ~114–125 min) with modest electrical gains (typically ~0–5%, best-case ~4.8%) [13,14]. Under intensified (ducted/forced-flow) cooling, performance becomes more sensitive to airflow and geometry, including reported ~19% power increases and an engineering channel-depth ratio (e.g., b/L ≈ 0.11) proposed to reduce overheating and improve predictability [15].
- (2)
- Evidence is usually built through a “measurement → physics correlation/sensitivity → annual simulation” chain. Measurements anchor temperature rise, airflow, and heat-flux behavior; physics-based modeling generalizes results via geometry sensitivity (air gap, openings, channels) and boundary-condition handling. Several studies update/derive convection correlations (e.g., Nusselt-type formulations) to keep wind/no-wind cases comparable and note saturation effects (e.g., limited additional cooling beyond ~1 m/s in some regimes) [16,17]. Annual simulation (often multi-orientation or multi-climate) then translates façade behavior into building demand and seasonal balance, with multi-objective optimization emerging when daylight–thermal trade-offs become explicit [18,19,20,21].
- (3)
- Climate and mode selection change the mechanism and even the sign of outcomes. Subtropical numerical work reports season-matched PCM selection (higher melting temperature for summer insulation; lower for winter heat storage) and non-linear heat–electric coupling, with efficiency gains up to ~8.05% under certain settings [18]. Seasonal experiments on PCM-integrated ventilated PV windows report positive indoor temperature differences in heating mode (e.g., ~7.04 °C) versus negative differences in cooling mode (approximately −4.26 °C to −1.26 °C), motivating transitional-season mode switching [22]. In tropical contexts, thermal results are often framed through compliance-relevant envelope metrics (e.g., in situ U-value testing and Low-E pairing) as deployment enablers [23]. In cooling-dominated Hong Kong, results emphasize reduced solar heat gains and tilt-dependent trade-offs (overall benefit around ~20° vs. generation-maximizing around ~30°, with cooling-load saving potential up to ~69.16 kWh/m2·yr) [19,20].
- (4)
- Scalability is limited by boundary sensitivity and buildability, not only peak temperature drops. Several studies identify wind/external convection (hext) as performance-dominant, implying that transfer requires boundary-consistent reporting and, ideally, calibrated assumptions rather than defaults [24]. Practical constraints recur (cost, waterproofing/fire safety, structural integration), while certification-facing envelope metrics act as adoption gates in tropical façade work [13,23]. Control-oriented studies (e.g., ANN-based adaptive operation in plateau climates) further suggest that scalable performance depends on robust operating logic and fast prediction as well as component design [25].
3.3. The Impact of Photovoltaic Façades on Building Electrical Performance
- (1)
- Reported generation outcomes cluster into explainable bands once scale is aligned. PV-DSF electricity yield in cooler climates is frequently reported in the tens of kWh·m−2·yr−1 range (e.g., ~65 kWh·m−2·yr−1) [52], while mode-defined experiments on ventilated PV windows report explicit daily production (e.g., ~0.383 kWh) and peak power (~61.16 W) under heating-mode operation [E6]. For PV shading, geometry controls the net outcome: in Hong Kong, best overall benefit is reported around ~20° tilt (vs ~30° for maximum generation), with cooling-load saving potential up to ~69.16 kWh·m−2·yr−1 [20]; an optimization framework reports primary-energy reduction up to ~48.7% and annual generation exceeding building energy use by ~1034.4 kWh [59]. A dynamic PV light-shelf further reports an ~12% annual generation increase over a fixed configuration [60].
- (2)
- (3)
- Climate and operating context change the dominant mechanism: hot–humid glazed buildings (e.g., Singapore) emphasize net benefit under cooling/daylight trade-offs [E1], while cooling-dominated Hong Kong highlights solar-heat-gain reduction as a key driver of net electricity value [19,20]; Mediterranean PV-DSF results similarly depend on seasonal/operational framing [22,52].
- (4)
- Scalability is constrained by boundary sensitivity and adoption metrics: hext/wind assumptions are performance-dominant in naturally ventilated BIPV [24], high operating temperatures (up to ~64 °C) raise degradation concerns [54], and roof studies show payback divergence (e.g., 6.08 vs. 7.6 years) even under comparable annual generation [62]; self-sufficiency targets also introduce cost-threshold constraints [63]. These synthesized points provide the frame for reading the following strategy-based results as supporting evidence rather than standalone mini-reviews.
3.4. The Impact of Photovoltaic Façades on Building Optical Performance
3.5. The Impact of Photovoltaic Façades on Indoor Thermal Comfort
- (1)
- Application of Composite Systems in Seasonal Thermal Comfort Regulation
- (2)
- Dynamic Shading Control for Thermal Comfort Modulation
- (3)
- Influence of PV Construction Typologies on Indoor Temperature and Comfort
3.6. The Impact of Photovoltaic Façades on Visual Comfort
3.7. The Impact of Photovoltaic Façades on Air Purification Capacity
3.8. Policy Support for the Scalability of Building-Integrated Photovoltaics
3.9. Economic Feasibility for the Scalability of Building-Integrated Photovoltaics
4. Discussion
4.1. Key Challenges in the Adoption of BIPV Technology
4.1.1. Absence of Architectural Perspectives
4.1.2. Methodological Differences and Challenges in Real-World Applications
- Short-term studies are more suitable for revealing the performance mechanisms and component behavior of BIPV systems.
- Long-term monitoring can provide more realistic performance data under actual environmental conditions, capturing the influence of climate and human factors on BIPV. The conclusions are closer to real-world performance but contain uncontrollable variables, making them unsuitable for evaluating the ideal operating state of a BIPV system.
- System-level monitoring is more capable than component-level testing in capturing the multi-dimensional coupling between building, system, and environment, making it a key pathway for translating BIPV research outcomes into practical application assessments.
4.1.3. Economic Conflicts in Cost Calculation and Industry Coordination Issues
4.1.4. From Evidence to Repeatable Deployment: A Cross-Professional Integration Agenda
4.2. Field Experience and Lessons from International BIPV Applications
4.3. Architectural Aesthetics and Spatial Integration Potential of BIPV Systems
4.4. Limitations
5. Conclusions
Funding
Data Availability Statement
Conflicts of Interest
References
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| Category | Keywords |
|---|---|
| Photovoltaic Façades Related Terms | Photovoltaic Façades, Solar Façades, PV Façades, BIPV, Building-Integrated Photovoltaics, PV Wall, Photovoltaic Windows, Trombe Wall, Photovoltaic Building Integration, Solar Powered Façades |
| Building Performance Related Terms | Building Performance, Building Energy Consumption, Building Thermal Efficiency, Indoor Comfort, Energy Efficiency, Building Energy Performance, Energy Demand Reduction, Thermal Performance, Building Thermal Regulation |
| Building Design and Environmental Optimization | Daylighting, Natural Ventilation, Indoor Air Quality, Green Buildings, Thermal Environment, Building Thermal Comfort |
| Field | Total Count | First Appeared | Peak Year |
|---|---|---|---|
| Air Purification | 6 | 2021 | 2024 |
| Indoor Thermal Comfort | 8 | 2018 | 2024 |
| Visual Comfort | 19 | 2008 | 2024 |
| Optical | 48 | 2001 | 2024 |
| Thermal | 71 | 2007 | 2024 |
| Electrical | 75 | 2001 | 2024 |
| Reference | Measurement Type | Monitoring Duration | Research Object | Actual Measurement Period |
|---|---|---|---|---|
| Wang et al. [37] | System-level | Short-term + Annual simulation | STPV + PCM ventilated window | 3 days measurement, annual simulation |
| Ke et al. [22] | System-level | Long-term | CdTe multilayer PV ventilated window | 3 seasons measurement, annual simulation |
| Jun et al. [55] | System-level | Short-term + Annual simulation | Solar chimney + PCM system | Short-term: thermal response validation; annual simulation: energy saving and CO2 reduction prediction |
| Koyunbaba et al. [12] | System-level | Short-term (within long-term background) | BIPV-Trombe system | 4-month long-term operation, 4-day short-term analysis |
| Peng et al. [87] | System-level | Short-term | PV-IGU window | Typical clear day (several hours) |
| Wang et al. [47] | System-level | Short-term | STPV double-skin ventilated window | Several days typical clear-day measurement |
| Zhang et al. [71] | System-level | Short-term + Annual simulation | Thermo-catalytic + STPV double-skin façade | Short-term: thermal and power verification; annual simulation: regional adaptability analysis |
| Cheng et al. [64] | System-level | Short-term + Annual simulation | STPV | 3 days measurement, annual simulation |
| Xu et al. [31] | System-level | Short-term | STPV window | Typical clear-day, several days measurement |
| Shabunko et al. [23] | System-level | Short-term | BIPV glass | 72 h + multi-day validation |
| Tang et al. [78] | System-level | Short-term | PV-PCM window | Several days measurement (hot summer/warm winter zone) |
| Kaiser et al. [15] | System-level | Short-term | Air-cooled BIPV module | Several weeks measurement, hourly sampling |
| Tonui & Tripanagnostopoulos [29] | System-level | Short-term | Naturally ventilated PVT collector | Several weeks measurement, hourly sampling |
| Wang et al. [25] | System-level | Short-term | BIPVT hybrid façade (STPV + thermal recovery) | Several typical winter days measurement |
| Wong et al. [32] | System-level | Long-term | STPV system | Several months measurement, daily/hourly sampling |
| Oliveira Panao & Gonçalves [56] | System-level | Long-term | Solar XXI building | 3 years data, daily sampling |
| Agathokleous & Kalogirou [16] | System-level | Long-term | Naturally ventilated BIPV system | 2 months continuous measurement (10 s interval) |
| Wang et al. [60] | System-level | Short-term + Annual simulation | Dynamic PV light-guiding panel | Several hours measurement, time-interval sampling |
| Peng et al. [88] | System-level | Short-term + Annual simulation | c-Si semi-transparent PV window | Typical clear-day (08:00–18:00) |
| Wang et al. [57] | System-level | Short-term + Annual simulation | Semi-transparent PV window + passive radiative cooling film | Several days typical clear-day measurement, annual simulation |
| Chen et al. [42] | System-level | Short-term | Photocatalytic double-skin ventilated window | 1–2 days measurement |
| Pan et al. [36] | Component-level | Short-term + Annual simulation | PV insulating glass unit | Several hours measurement, annual simulation |
| Zhang et al. [19] | Component-level | Static parameters + Annual simulation | STPV module | Electrical efficiency and transmittance test for EnergyPlus simulation |
| Cannavale et al. [84] | Component-level | Static parameters + Annual simulation | Perovskite STPV module | Optical and electrical performance test for EnergyPlus simulation |
| Martinopoulos et al. [82] | Component-level | Static parameters + Annual simulation | BAPV and BIPV modules | Performance test for annual energy consumption simulation |
| Qiu et al. [75] | Component-level | Static parameters + Annual simulation | VPVW module | Electrical performance test, ANN + EnergyPlus simulation |
| Peng et al. [51] | Component-level | Short-term + Annual simulation | PV + PCM combination | Short-term measurement, annual simulation analysis |
| Karthick et al. [14] | Component-level | Short-term | BIPV + PCM module | Laboratory simulation, short-term sampling |
| Skandalos & Karamanis [58] | Component-level | Long-term | STPV module | 30-day measurement, thermal and electrical performance analysis |
| Olivieri et al. [70] | Component-level | Static parameters + Annual simulation | STPV module | Transmittance and electrical efficiency test, annual simulation for energy performance |
| Location | Context | Project | Performance | Integration | Highlights |
|---|---|---|---|---|---|
| North America (Canada) | Developed region | Performing Arts Centre | Electrical: 75 MWh/yr Thermal: High-performance envelope + heating Optical: PV on all façades, uniform texture Indoor comfort: Floor air supply | Multi-façade | Educational demo; emission reduction; PV as structure |
| N. Europe (Norway) | Developed region | Brynseng Primary School | Electrical: 105 MWh/yr façade PV Thermal: 90% heating from GSHP + borehole | South curtain wall | Educational; near-zero energy; subsidy support |
| W. Europe (Austria) | Developed region | Aktiv Energy Tower | Electrical: 630 m2 PV (roof + façade) Thermal: Geothermal + PV synergy Optical: 63% transparency Visual comfort: Transparent façade Indoor comfort: Ventilated PV curtain wall | Curtain walls (SE–W) | Brand showcase; transparent façade |
| C. Europe (Switzerland) | Developed region | MFH Hofwiesenstraße | Electrical: 750 m2 façade + 500 m2 CIGS balcony Thermal: Rear ventilation + low-conductivity connectors | Multi-façade + balcony | Colored modules; energy-positive demo |
| S. Europe (Italy) | Developed region | Single-family House (Lasa) | Electrical: Balcony + rooftop PV (>850 kWh/yr) Thermal: Electric water heating + control Optical: 37–38% semi-transparent stripes | Balcony + rooftop | Semi-transparent BIPV; shading |
| E. Asia (China) | Developing region | Singyes Solar Office | Electrical: 150,000 kWh/yr (4 PV systems) Thermal: PVT hot water (60,000 L/yr) Optical: Ceramic-like PV + transparent glass Indoor comfort: Ventilated wall + climate control Visual comfort: Lighting, airflow, shading | Curtain wall + canopy + louver + rooftop | Microgrid; multi-system synergy |
| E. Asia (Japan) | Developed region | NTT Aoba Dori Building | Electrical: 37 kWp façade + rooftop PV Thermal: Dry dehumidifying AC + ventilated wall | South façade wall | Post-disaster memorial; AC-heat integration |
| W. Europe (Netherlands) | Developed region | Social Housing Apartment | Electrical: 250 kWp façade + balcony + rooftop Thermal: Unit heat pumps + BIPV integration | Multi-façade + balcony | Policy-driven; rent-energy link |
| N. Europe (Sweden) | Developed region | Väla Gård Office | Electrical: 70 kWp rooftop PV Thermal: GSHP + insulation Indoor comfort: Occupant load consideration | S-facing pitched roof | Net-zero; occupant behavior focus |
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© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
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Li, B.; Zhou, D.; Zhou, M.; Xu, D.; Zhang, Q.; Qi, Y.; Zhu, Z.; Yang, Y. A Systematic Review of the Scalability of Building-Integrated Photovoltaics from a Multidisciplinary Perspective. Buildings 2026, 16, 332. https://doi.org/10.3390/buildings16020332
Li B, Zhou D, Zhou M, Xu D, Zhang Q, Qi Y, Zhu Z, Yang Y. A Systematic Review of the Scalability of Building-Integrated Photovoltaics from a Multidisciplinary Perspective. Buildings. 2026; 16(2):332. https://doi.org/10.3390/buildings16020332
Chicago/Turabian StyleLi, Baitong, Dian Zhou, Mengyuan Zhou, Duo Xu, Qian Zhang, Yingtao Qi, Zongzhou Zhu, and Yujun Yang. 2026. "A Systematic Review of the Scalability of Building-Integrated Photovoltaics from a Multidisciplinary Perspective" Buildings 16, no. 2: 332. https://doi.org/10.3390/buildings16020332
APA StyleLi, B., Zhou, D., Zhou, M., Xu, D., Zhang, Q., Qi, Y., Zhu, Z., & Yang, Y. (2026). A Systematic Review of the Scalability of Building-Integrated Photovoltaics from a Multidisciplinary Perspective. Buildings, 16(2), 332. https://doi.org/10.3390/buildings16020332

