Dynamic Integration of Shading and Ventilation: Novel Quantitative Insights into Building Performance Optimization
Buildings
Abstract and Figures
Buildings consume nearly 40% of global energy, necessitating innovative strategies to balance energy efficiency and occupant comfort. While shading and ventilation are critical to sustainable design, they are often studied independently, leaving gaps in understanding their combined potential. This study provides a novel quantitative analysis of dynamic shading and ventilation strategies, using a dataset of 5000 simulations in IDA Indoor Climate and Energy (IDA ICE) to reveal the synergies and trade-offs in building performance. Four distinct scenarios are analyzed: minimal shading and limited ventilation (shading factor Sf = 0.0, ACH = 0.5), optimized shading and moderate ventilation (Sf = 0.5, ACH = 1.5), dynamic shading and enhanced ventilation (Sf dynamically adjusted, ACH = 2.5), and high shading with maximum ventilation (Sf = 1.0, ACH = 3.0). The results show a progressive reduction in thermal discomfort, with the predicted percentage dissatisfied (PPD) decreasing from >80% in the first scenario to ~25% in the dynamic scenario and ~15% in the high shading scenario. The energy demand increases by up to 40% in the highest shading scenario, highlighting trade-offs. These findings underscore the importance of dynamically integrating shading and ventilation, providing actionable recommendations such as dynamic shading and night cooling that can reduce discomfort and improve energy efficiency by up to 30%. By bridging the research gaps, this study advances sustainable building design and offers a robust framework for creating energy-efficient, comfortable buildings.
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This research investigates the compatibility of conventional air conditioning with the principles of green building, highlighting the need for systems that enhance indoor comfort while aligning with environmental sustainability. Though proficient in regulating indoor temperatures, conventional cooling systems encounter several issues when incorporated into green buildings. These include energy waste, high running costs, and misalignment with eco-friendly practices, which may also lead to detrimental environmental effects and potentially reduce occupant comfort, particularly in retrofit situations. Given the emphasis on sustainability and energy conservation in green buildings, there is a pressing demand for heating, ventilation, and air conditioning (HVAC) solutions that support these goals. This study emphasises the critical need to reconsider traditional HVAC strategies in the face of green building advances. It advocates for the adoption of innovative HVAC technologies designed for eco-efficiency and enhanced comfort. These technologies should integrate seamlessly with sustainable construction, use greener refrigerants, and uphold environmental integrity, driving progress towards a sustainable and occupant-friendly built environment.
The rising global demand for power, allied with the compelling necessity to shift to sustainable energy sources, has heightened attention on renewable energy technologies, notably solar energy. Photovoltaic (PV) systems encounter efficiency challenges from the inherent nonlinearity associated with fluctuating atmospheric conditions. Solar charge controllers (SCC) are vital components in PV systems designed to improve the operational efficiency of solar panels by controlling voltage and current fluctuations. A comprehensive analysis of 100 publications extracted from the Scopus database was performed to assess the evolution and influence of SCC modules in PV applications. The analysis included growth trends, pros and cons, top keywords and topics, document types, authorship evaluations, constraints confronting solar PV systems, and the identified solution. The findings indicate that SCC modules, particularly those employing maximum power point (MPP) tracking techniques, significantly enhance system efficiency. The study emphasizes the potential of artificial intelligence (AI)-driven computer optimization techniques to improve energy efficiency, decrease pollutants, and alleviate greenhouse gas emissions. This research underscores the importance of SCC modules and AI-driven optimization techniques in enhancing energy efficiency and sustainability in renewable energy technologies, offering valuable insights for future advancements in the energy sector.
This review paper presents an interdisciplinary exploration of integrating emerging technologies, including digital twins (DTs), building information modeling (BIM), 3D laser scanning, machine learning (ML), and the Internet of Things (IoT), in the conservation of heritage buildings. Through a comprehensive literature review spanning from 1996 to 2024, expert interviews, a bibliometric analysis, and content analysis, the study highlights a significant shift toward a preventive approach to conservation, focusing on less invasive methods to ensure long-term preservation. It highlights the revolutionary impact of detailed digital representations and real-time monitoring on enhancing conservation efforts. The findings underscore significant research gaps, such as the need for standardized information protocols and the integration of DTs with BIM, while pointing to the potential of AR and VR in enriching heritage experiences. The paper advocates for a multidisciplinary approach to effectively harness these technologies, offering innovative solutions for the sustainable preservation of cultural heritage.
This study employs both simulation and experimental methodologies to evaluate the effectiveness of bi-sectional horizontal kinetic shading systems (KSS) with horizontal fins in enhancing daylight comfort across various climates. It emphasizes the importance of optimizing daylight levels while minimizing solar heat gain, particularly in the context of increasing energy demands and shifting climatic patterns. The study introduces a custom-designed bi-sectional KSS, simulated in three distinct climates—Wroclaw, Tehran, and Bangkok—using climate-based daylight modeling methods with the Ladybug and Honeybee tools in Rhino v.7 software. Standard daylight metrics, such as Useful Daylight Illuminance (UDI) and Daylight Glare Probability (DGP), were employed alongside custom metrics tailored to capture the unique dynamics of the bi-sectional KSS. The results were statistically analyzed using box plots and histograms, revealing UDI300–3000 medians of 78.51%, 88.96%, and 86.22% for Wroclaw, Tehran, and Bangkok, respectively. These findings demonstrate the KSS’s effectiveness in providing optimal daylight conditions across diverse climatic regions. Annual simulations based on standardized weather data showed that the KSS improved visual comfort by 61.04%, 148.60%, and 88.55%, respectively, compared to a scenario without any shading, and by 31.96%, 54.69%, and 37.05%, respectively, compared to a scenario with open static horizontal fins. The inclusion of KSS switching schedules, often overlooked in similar research, enhances the reproducibility and clarity of the findings. A physical reduced-scale mock-up of the bi-sectional KSS was then tested under real-weather conditions in Wroclaw (latitude 51° N) during June–July 2024. The mock-up consisted of two Chambers ‘1’ and ‘2’ equipped with the bi-sectional KSS prototype, and the other one without shading. Stepper motors managed the fins’ operation via a Python script on a Raspberry Pi 3 minicomputer. The control Chamber ‘1’ provided a baseline for comparing the KSS’s efficiency. Experimental results supported the simulations, demonstrating the KSS’s robustness in reducing high illuminance levels, with illuminance below 3000 lx maintained for 68% of the time during the experiment (conducted from 1 to 4 PM on three analysis days). While UDI and DA calculations were not feasible due to the limited number of sensors, the Eh1 values enabled the evaluation of the time illuminance to remain below the threshold. However, during the June–July 2024 heat waves, illuminance levels briefly exceeded the comfort threshold, reaching 4674 lx. Quantitative and qualitative analyses advocate for the broader application and further development of KSS as a climate-responsive shading system in various architectural contexts.
This study uses simulation and experimental methodologies to explore the efficacy of bi-sectional horizontal kinetic shading systems (KSS) featuring horizontal fins in enhancing daylight comfort across various climates. Given the increasing energy demands and shifting climatic patterns, optimizing daylight levels while minimizing solar heat gain is vital. The paper introduces a bespoke horizontal bi-sectional KSS, simulated in three distinct climates—Wroclaw, Tehran, and Bangkok—using Climate Based Daylight Modelling methods with Ladybug and Honeybee tools in Rhino software. The study employs standard daylight metrics such as Useful Daylight Illuminance (UDI) and Daylight Glare Probability (DGP), along with custom metrics designed to capture the specific dynamics of the bi-sectional KSS. Initial simulations indicated that the KSS significantly improved daylight distribution and uniformity, reducing glare and over-illumination risks by av. 42.34%. Including KSS switching schedules, which are seldom detailed in similar research, enhances the reproducibility and understanding of findings. Subsequently, a physical reduced-scale mock-up of the bi-sectional KSS was tested under real-weather conditions in Wroclaw (lat. 51° N) during June-July 2024. The mock-up utilized two chambers: one equipped with the prototype of bi-sectional KSS and the second without any protection. The operation of fins was guided by two stepper motors controlled by a Python script running on a Raspberry Pi 3 minicomputer. The control chamber served to benchmark the bi-sectional KSS's efficiency by providing results that would be expected if no shading system were installed. The experimental outcomes supported the simulations, demonstrating the KSS's robustness in reducing high illuminance levels to the target comfort level, thus enhancing indoor visual comfort. The values below 3,000 lux were maintained for 68% of the time. However, it must be explicitly stated that during the June-July 2024 heat waves, the illuminance levels inside the test room momentarily exceeded the comfort threshold of 3,000 lux, reaching up to 4,674 lux. Through quantitative and qualitative analyses, the paper advocates for the broader application and further development of KSS as a climate-responsive shading system in diverse architectural contexts.
Sustainable building design has gained global significance as a strategy to address environmental challenges and promote healthier living spaces. This concept is particularly relevant in Saudi Arabia, where there is a growing emphasis on integrating sustainable practices into the design and operation of buildings, especially in educational settings. Amidst the global push for sustainability in workplaces, this study’s core lies in assessing and comparing the satisfaction levels with the indoor environmental quality (IEQ) of a Saudi Arabian higher education building against those in international green buildings, considering factors that comprise thermal comfort, air quality, lighting, acoustic quality, office arrangement, furnishings, cleanliness, and maintenance. Employing the Center for the Built Environment (CBE) IEQ survey tool, a comprehensive study was conducted among the building’s occupants. A literature review and benchmarking studies complemented this to gather data on international green buildings. This study aims to assess and compare the satisfaction levels with the IEQ of a Saudi Arabian higher education building against international green buildings. The comparative analysis aims to expose the commonalities and differences in satisfaction levels, exploring how various factors influence overall satisfaction with the IEQ. The research found that there is overall satisfaction with the IEQ parameters of the building under investigation, except with two parameters: acoustics and thermal comfort. The building is generally in alignment with the IEQ of international buildings. This research is presumed to contribute significantly to sustainability initiatives in educational buildings, fostering a healthier and more sustainable workplace environment.
Photovoltaic shading devices (PVSDs) have the dual function of providing shade and generating electricity, which can reduce building energy consumption and improve indoor daylighting levels. This study adopts a parametric performance design method and establishes a one-click simulation process by using the Grasshopper platform and Ladybugtools. The research focuses on the effect of dynamic PVSDs on daylighting and energy consumption in an office building in Qingdao. The optimal configuration of PVSDs for each month under three dynamic strategies (rotation, sliding, and hybrid) is determined here. Additionally, different control strategies and fixed PVSDs are compared to clarify the impact of various control strategies on daylighting and energy consumption. The findings reveal that, compared to no shading, dynamic PVSDs in the rotation strategy, sliding strategy, and hybrid strategy can achieve energy savings of 32.13%, 47.22%, and 50.38%, respectively. They can also increase the annual average UDI by 1.39%, 2.8%, and 3.1%, respectively. Dynamic PVSDs can significantly reduce the energy consumption of office buildings in Qingdao while improving indoor daylighting levels. A flexible control strategy that adapts to climate change can significantly improve building performance. This research can provide theoretical, methodological, and data support for the application of the PVSD in cold-climate regions in China.
Photovoltaic shading devices (PVSDs) have the dual function of providing shade and generating electricity, which can reduce building energy consumption and improve indoor daylighting levels. This study adopts a parametric performance design method and establishes a one-click simulation process by using the Grasshopper platform and Ladybugtools. The research focuses on the effect of dynamic PVSDs on daylighting and energy consumption in an office building in Qingdao. Through simulation, the study calculates the monthly energy consumption and useful daylight illuminance (UDI) under different inclination angles and installation heights of PVSDs. And the optimal configuration of PVSDs for each month under three dynamic strategies (rotation, sliding, and hybrid) is determined. Additionally, different control strategies and fixed PVSDs are compared to clarify the impact of various control strategies on daylighting and energy consumption. The findings reveal that, compared to no shading, dynamic PVSDs in rotation strategy (with an installation height of 0 m), sliding strategy (with an inclination angle of 20°), and hybrid strategy can achieve energy savings of 32.13%, 47.22%, and 50.38%, respectively. They can increase the annual average UDI by 1.39%, 2.8%, and 3.1%, respectively.
