Adaptive Facade with Photovoltaic-Tine Shade for Office Buildings: Design, Implementation, Evaluation

Thesis Abstract

The built environment in hot climates consumes substantial energy for cooling, and conventional shading often underperforms in dynamic control of daylighting and solar gain. This study investigates an adaptive façade integrating photovoltaic-tine shading to simultaneously harvest solar energy and modulate building thermal loads and daylight access in office environments. The aim is to design, implement, and evaluate a scalable façade module that dynamically reconfigures tine-based shading in response to exterior conditions and occupancy patterns to optimize energy performance, occupant comfort, and lifecycle cost. Specific objectives are (1) to develop a responsive control strategy integrating weather data, photovoltaic output, and indoor environmental metrics; (2) to prototype and fabricate a modular retrofit-friendly façade unit with tunable photovoltaic-tine elements; (3) to assess energy savings, thermal comfort, and daylight autonomy in a full-scale lab test rig and a field demonstration on a mid-rise office building; (4) to evaluate the environmental and economic benefits through life cycle assessment (LCA) and life cycle cost analysis (LCCA); and (5) to formulate design guidelines for practitioners and policymakers. The methodology adopts a mixed-methods, sequential explanatory design underpinned by the Theory of Planned Behavior and the Adaptive Facade Framework. A two-stage approach is employed (i) a computational phase using EnergyPlus and Radiance 3D daylight simulations to develop the dynamic shading model and predict performance across four climate zones, validated against empirical measurements from a 3×2 m façade module located in an environmental chamber; (ii) an empirical phase comprising a 12-month field evaluation on a selected office building with a 50-panel PV-tine façade retrofit, monitored for electricity generation, heating and cooling energy use, indoor operative temperature, luminous intensity, and occupant comfort indicators. Data collection instruments include high-precision power meters (1 kW accuracy), interior temperature and humidity sensors (±0.5°C, ±3%), photometric sensors (approx. 300 lux accuracy), occupancy sensors, and questionnaires based on standardized comfort scales. A sample of 120 office occupants across six zones participates in subjective assessments, with a minimum daily data collection window of 60 minutes per zone. Data analysis integrates quantitative and qualitative techniques. Regression analysis and multivariate ANOVA (MANOVA) are used to quantify the relationship between shading state, PV generation, and energy performance indicators, while time-series analyses examine diurnal and seasonal variations. A dynamic simulation optimization using genetic algorithms determines optimal control policies for shading position, tilt, and PV-tine engagement to minimize energy use while maintaining setpoint comfort. Life cycle assessment follows ISO 14040/44 standards, comparing the adaptive façade scenario against a conventional shading system, with functional unit defined as 1 m² of treated façade over a 25-year horizon. Life cycle cost analysis calculates net present value, payback period, and levelized energy cost. Thematic analysis of occupant feedback identifies perceived comfort, glare, and perceived productivity changes. Expected findings indicate that the PV-tine adaptive façade can reduce cooling energy demand by 12–28% depending on climate, while providing 8–15% annual photovoltaic energy harvesting, and achieving daylight autonomy improvements of 15–25% with maintained glare control. The dynamic shading is anticipated to improve mean radiant temperature stability and perceived comfort during peak solar periods without compromising visual contact to external views. The economic analysis is expected to show favorable payback within 12–18 years under typical utility rates and modest maintenance costs, with LCA revealing lower embodied impacts per functional unit due to reduced mechanical systems and improved PV self-shading dynamics. The study contributes to knowledge by (i) advancing a viable, retrofit-friendly adaptive façade technology that harmonizes energy generation with adaptive shading and daylighting, (ii) providing a robust control framework validated across simulation, laboratory, and field environments, (iii) delivering empirical performance data and decision-support tools for architects, engineers, and building owners, and (iv) offering design guidelines and policy implications for integrating PV-tine façades into sustainable building portfolios. The conclusion emphasizes the potential of PV-tine adaptive façades to decouple energy use from climatic variability while delivering occupant-centric comfort, with recommendations for standardization of module interfaces, sensor fusion, control algorithms, and scalable deployment strategies in future work.