Window Type Research Articles

Traditional Window Designs of Kirklareli, Turkey

This article reviews the book "Traditional Window Designs of Kirklareli, Turkey", authored by Nevnihal Erdoğan and İzzet Yüksek. The book delves into the standardisation of windows found in traditional houses during the late 19th and early 20th centuries within the Kirklareli region of Turkey. Within the scope of the study, 109 houses were examined, and 20 houses were excluded because they lost their original features due to deterioration and destruction. According to researchers, urgent measures need to be taken to protect the cultural heritage in the region. In this regard, one of the book's aims is to contribute to developing new design models by archiving traditional window details. The study examined 103 traditional window types belonging to 89 houses in detail.

Retrofit Analysis of Exterior Windows for Large Office Buildings in Different Climate Zones of China

In the energy-saving retrofit of existing buildings, investors are particularly concerned about the energy-saving performance of exterior windows and the payback period of additional costs. This study evaluates representative cities in four different climate zones in China to simulate the energy consumption of large office buildings after replacing different glass windows and conducting energy-saving and economic feasibility assessments. The research method includes the following steps: First, a baseline model of large office buildings in four cities was established using AutoBPS and OpenStudio. Then, the baseline and retrofit models of replacing glass windows were simulated using the EnergyPlus V9.3.0 to obtain multiple hourly energy consumption results. The commercial electricity and gas prices in the four cities were adjusted to calculate the total cost within 20 years after replacing different types of windows. Using the discounted payback period (DPP), net present value (NPV), and profitability index (PI) as evaluation indicators, a feasibility analysis was conducted in the four regions to evaluate the economic feasibility of replacing building windows. The simulation results show that considering economic feasibility and meeting energy-saving standards, it is more economical to choose windows with moderate U-value and SHGC value in the four regions than to choose windows with the smallest U-value and SHGC value, and that both energy savings and economic benefits are closely related to building age, with older buildings (especially those in Changsha and Shenzhen) showing greater benefits. Furthermore, the optimal window types in the four cities determined in this study can recover the investment cost within the window life, with Harbin (SC), Beijing (C), Changsha (HC), and Shenzhen (HW) with the payback period of 6.60, 15.66, 10.16, and 11.42 years, respectively. The research model established in this study provides a useful evaluation path for selecting windows for the energy-saving retrofit of large office buildings in cities in different climate zones and provides data support for the decision making of energy-saving retrofit investors.

Identifikasi Tampilan Visual Pada Arsitektur Vernakular di Rejang Lebong dan Lebong

The Rejang tribe is one of the tribes that has long inhabited areas in the Bengkulu Province and has spread across several regencies in the province. There are differences between the Rejang tribe in Lebong Regency and the Rejang tribe in Rejang Lebong Regency due to adaptation and cultural blending. This study identifies the differences in form characteristics in Rejang vernacular architecture in Lebong and Rejang Lebong Regencies, including roof shape, wall board arrangement, window types, door types, building materials, building colors, room dimensions, building orientation, and building foundations. Three samples of vernacular buildings from each region will be analyzed using the Descriptive Qualitative method based on non-numeric data. The results show that there are 5 differences and only 4 similarities in the physical characteristics of vernacular architecture in Lebong and Rejang Lebong Regencies.

Energy optimization of an institutional building to reduce the energy and air conditioning demand

Around 40 percent of global energy is used by buildings, and in Pakistan, the building sector consumes 23 % of total energy consumption. Significant energy savings can be achieved by improving building envelope designs, operational practices, and retrofitting existing buildings. This study aims to reduce the energy and air conditioning demand of an institutional building in Islamabad's hot and humid climate. EQuest is used to optimize key building parameters, such as wall insulation, roof insulation, window types, windows-to-wall ratio (WWR), windows shading, building orientation, and cooling set point. These parameters are categorized into various market options. A market survey was conducted to collect technical specifications and prices of the building's sub-parameters. This study also investigates the potential for achievable energy savings by implementing the recommendations published by the Energy Conservation Building Code of Pakistan (ECBC-2023). The building model is calibrated using actual and simulated building data, following ASHRAE Guide 14 criteria, yielding an MBE of 4.55 % and a CV (RMSE) of 9.3 %. Moreover, the study validates the simulation procedure of EQuest software. After calibration, this model assesses the energy performance of various parameters. Results demonstrate that retrofitting the building can save 24.28 % of energy compared to the baseline building. The retrofit cost is estimated at 51.56 million Pakistani rupees (US $185,669) with a payback period of 4.45 years. The study pioneers the application of ECBC and concludes that a code compliant building can save up to 17.05 %, with a cost of 24.36 million rupees (US $87,721) and a payback period of 3 years.

Seasonal optimization of envelope and shading devices oriented towards low-carbon emission for premodern historic residential buildings of China

The renovation of historic residential buildings is required to balance the daylighting and thermal comfort of the building space with the conservation of the architectural features. However, there is a lack of dynamic optimization in the dimension of seasons for the historic residential buildings, while conservation factors are not considered in the design strategies. Therefore, in this study, a seasonal multi-optimization method for the historic residential buildings was introduced to improve the daylighting and thermal comfort while reducing carbon emissions. At first, the field and network investigation were conducted and a prototypical model was developed based on the second-order cluster analysis method. Furthermore, the envelope (internal insulation materials, internal insulation thickness, window types) and shading devices (inclination angle of shutters and shutter depth for different seasons and orientations) were optimized based on the Grasshopper platform. Finally, the best renovation solution orientated by low-carbon emission was proposed. The results show that the optimal material for the internal insulation of the wall is polyurethane, which has a thickness of 0.10 m. The window type is 6 mm high transmission reflective glass. The greatest inclination angle of shutters in summer is the window facing southeast. Conversely, in spring and autumn, the southwest windows have the greatest inclination angle of shutters. In winter, the inclination angle of shutters for the northeast windows is a maximum of 26°. The inclination angle of shutters for southwest windows in autumn is the most needed for design, and the angle is upward reversed 47°. The maximum shutter depth of 0.19 m in the southeastern windows is a 72.71 % improvement relative to the minimum shutter depth. Compared with the prototypical model, the useful daylight illuminance of the building model is improved by 12.41 %, the thermal discomfort hours percentage is reduced 3.09 %, and the life cycle carbon emissions is reduced by 14.6 %. The optimal design strategies for the building envelope and shading devices considering conservation principles can improve the daylighting and thermal comfort of the historic residential buildings.

PENGARUH PERTUMBUHAN PEMUKIMAN TERHADAP AKTIVITAS PEREKONOMIAN DI KELURAHAN KOYA BARAT

This research aims to identify the factors influencing the growth of settlements and economic activities inKoya Barat Village, Muara Tami District, and the efforts made in the growth of settlements and economic activitiesin Koya Barat Village, Muara Tami District. The quantitative research method and data collection techniquesinvolve questionnaires and documentation. The data analysis uses simple linear regression. The results of theresearch indicate that the factors influencing the growth of settlements and economic activities in Koya BaratVillage, Muara Tami District, show that the level of settlement growth in Koya Barat Village, Muara Tami District,is categorized as high, with 65 respondents or 65%. This includes several factors such as the type of physicalbuilding, building/occupant type, wall type, roof type, ceiling, floor type, door, sanitation, window, ventilation,and ridge. The economic level of the community with a very high economic level is 33 respondents or 33%, anda high economic level is 31 respondents or 31%, which means that the economic level of the community in KoyaBarat Village, Muara Tami District is high, including education level, occupation/livelihood, and householdincome. The efforts made in the growth of settlements and economic activities in Koya Barat Village, Muara TamiDistrict, indicate a significant influence of settlement growth on the economy in Koya Barat Village, Muara TamiDistrict, which means that if settlement growth increases, economic activities will also experience a significantincrease.

BIM-based energy consumption analysis for residential buildings: effects of orientation, size, and type of windows

Buildings have a significant environmental impact due to their reliance on nonrenewable energy sources. To address this concern, computer software is utilized to estimate building energy requirements. Building Information Modeling (BIM) has emerged as a valuable tool in this process, with BIM 6D offering a particularly beneficial feature. BIM 6D provides a comprehensive energy model of the building, simulating its actual energy performance. By analyzing natural and artificial lighting systems, particularly daylighting, BIM 6D can assist in optimizing energy efficiency. Despite being underutilized, the potential of this feature to enhance building sustainability is noteworthy. BIM 6D facilitates well-informed design and operational decisions for both new constructions and the renovation of existing buildings. The study examines design criteria such as building orientation, window orientation, size, and type to optimize energy consumption in a bungalow in the Sangli region of Maharashtra, underscoring the importance of energy-efficient buildings to local communities. Energy analysis and optimization are conducted using the Autodesk Insight tool. The methodology involves creating 3D models with Autodesk Revit Architecture software and performing various analyses, including Building Energy Modeling (BEM) simulations, Illuminance Analysis, Solar Access, and Daylight Autonomy assessments. The analysis findings indicate that low-e glass windows of small size and oriented between 0° and 90° significantly enhance energy efficiency under certain conditions, while changing the window type does not affect the analysis. The paper concludes with recommendations for window orientation and size to enhance energy performance in residential buildings, contributing to the broader goal of sustainable and energy-efficient construction practices. This study provides valuable insights for designing energy-efficient residential buildings in rural areas, addressing awareness gaps, and promoting sustainable construction practices.

Sound insulation of partially open windows - alternative laboratory measurement methods

Sound insulation with partially open windows has had growing attention in recent years. In Denmark, this is primarily caused by the Danish Environmental Protection Agency's guideline from 2007 "Noise from roads", which introduces noise limits with open windows (opening area of 0.35 m2) for situations with a high traffic noise level. The sound insulation of traditional windows in open position have been measured in both the laboratory and external environment, and for certain setups too different results have been observed. To investigate the reasons behind the discrepancies, the traditionally reverberant source room of laboratory measurements was modified to a semi-anechoic room to remove reflections from unwanted reflections from room surfaces and to imitate the external environment during field measurements. Four different window types were tested as part of the research projects "Optimized measurement method for sound reduction of partially open windows part 1 and 2" (MetÅV and MetÅV2) in collaboration with four Danish window manufacturers. The primary focus of the project is to explore alternative laboratory methods to the traditional diffuse field method by studying reference cases from field measurements and taking into consideration different sound source positions and window geometry. This paper describes the results so far.

Integrated optimization of the building envelope and the HVAC system in office building retrofitting

Increasing the energy efficiency of existing buildings is the major strategy to reach carbon neutral targets, given that the building sector is a major emitter. In particular, one major part of building energy usage is the building heating, ventilation and air-cooling system, which are highly depending on the thermal performance of building envelope and increase the challenge of selecting optimal packages of energy efficiency measures. This paper thereby presents a method for optimizing the building envelope and heating, ventilation and air-cooling system. The simulation-based NSGA-III approach developed in this paper is based on coupling the dynamic simulation models created in EnergyPlus software with the non-dominated sorting genetic algorithm, as the engine that performs an optimization process. A large domain of energy efficiency packages combined with heating, ventilation and air-cooling systems and building envelope are investigated to minimize energy consumption, retrofit cost and thermal discomfort in indoor environments, which including ideal loads air system, four pipe fan coil system and variable refrigerant flow system, insulation materials and insulation thickness for external walls and roof, different types of external windows, and window-wall ratio. An office building in Chongqing was chosen as a case study to demonstrate the practical implementation of the proposed method. The results show that the four pipe fan coil system was superior in the diversity and performance of the Pareto front. Then, the optimal packages were generated by a synthetic method, which have 58.57 kWh/m2 of energy consumption, 30.76 CNY/m2 of retrofit cost and 40.67 % of the percentage of thermal discomfort hours. The results also indicate that the yearly energy savings rates are 17.30 %, 23.05 % and 21.10 % separately for ideal loads air system, four pipe fan coil system and variable refrigerant flow system after performing optimization. These results highlight the importance and necessity of performing an optimization procedure for existing buildings to select the optimal retrofit measures.

Experimental and computational assessment of an energy-saving innovation in a customised testing cabin

The aim of this paper is to assess the performance of an energy-saving device, called ‘Thermocill’ in a customised test cabin, located in a controlled environment. With the UK domestic energy sector responsible for nearly 27 % of the total energy mix in 2022, and massive increases in the cost of energy on homeowners and tenants, simple and low-cost retrofit measures could potentially be of great value, if they prove to be effective at saving energy. The paper describes the experimental and computational methods in detail with the goal of setting an important example/standard for the assessment of similar energy-saving innovations under the UK Standard Assessment Procedure (SAP). This, in turn, would enable the performance of such innovations to be captured in the Energy Performance Certificates (EPCs) for Building Regulation compliance. On that basis, a test cabin was constructed at Salford Energy house 2.0 to investigate Thermocill’s impacts on energy consumption and loss within the cabin. The experimental procedure is subsequently compared against a series of Computational Fluid Dynamics (CFD) simulations conducted for a larger number of scenarios. The performance of Thermocill was explored at different room temperature setpoints (16, 21, and 24 °C), window types (air and argon-filled double-glazed), and with/without blinds. The results were presented for four main scenarios including ‘cabin without Thermocill/blind’, ‘cabin with blind’, ‘cabin with Thermocill’, and ‘cabin with blind/Thermocill’. The results were presented in the form of U-values and heat losses for the windows, while additional results were provided from CFD simulations. A good correlation between the experiments and the CFD was found, showing confidence in both methods. Findings demonstrated that, when Thermocill is in operation, it reduces the average U-value by around 3–4 %, which is considered a significant payback for a passive and economical measure. The methodology presented in this paper is expected to set an important example/standard for the assessment of similar energy-saving innovations under UK SAP. This, in turn, would enable the performance of such innovations to be captured in the EPCs for Building Regulation compliance.

Vehicle routing problem for omnichannel retailing including multiple types of time windows and products

This paper addresses the capacitated vehicle routing problem for omnichannel retailing with multiple types of time windows (hard time windows and soft time windows) and multiple types of products simultaneously. The problem aims to transfer multiple products from a central warehouse to stores and satellites, where split delivery is allowed since the demands of stores or satellites are large and the different product types have different volumes. Based on different characteristics of purchasing channels, the time window of a store is a hard constraint while the time window of a satellite is a soft one. This type of vehicle routing problem exists extensively in omnichannel retail distribution systems in the logistics industry of China, which considers multiple purchasing channels for customers. Since this type of vehicle routing problem is an NP-hard problem and more complicated than the conventional vehicle routing problem with time windows, we design an adaptive large neighborhood search (ALNS) method to solve it. Finally, numerical experiments are conducted to evaluate the effectiveness of the proposed algorithm and reveal some managerial insights. The numerical experiments show that the proposed algorithm can obtain a high-quality solution under a shorter computation time compared with the state-of-the-art MIP solver (Gurobi).

The electrically controlled dimming film of thiol-vinyl ether system with low-voltage and high contrast ratio for smart windows

As a type of smart window, polymer dispersed liquid crystal (PDLC) electrically controlled dimming film can respond to external electrical stimuli to regulate the optical flux of sunlight, reducing energy consumption. Herein, a PDLC film was prepared by systematically studying the functionalities and structural compatibility of vinyl ether and thiol compounds, and the optimal PDLC film possesses a superior contrast ratio (CR) of 196.9. When the film thickness is adjusted to 8 μm, the film saturation voltage is reduced to 6.7 V, still maintaining a high CR of 48.4. The well-designed PDLC films exhibited excellent modulation of light. The temperature difference between PDLC film and bare ITO glass can reach 4 °C under the simulated sunlight test, demonstrating the good thermal insulation performance. This smart films with low power consumption and high CR can meet the demand for active regulation of optical flux on smart windows.

Dynamics in Realized Volatility Forecasting: Evaluating GARCH Models and Deep Learning Algorithms Across Parameter Variations

AbstractThe modeling and forecasting of return volatility for the top three cryptocurrencies, which are identified by the highest trading volumes, is the main focus of the study. Eleven different GARCH-type models were analyzed using a comprehensive methodology in six different distributions, and deep learning algorithms were used to rigorously assess each model’s forecasting performance. Additionally, the study investigates the impact of selecting dynamic parameters for the forecasting performance of these models. This study investigates if there are any appreciable differences in forecast outcomes between the two different realized variance calculations and variations in training size. Further investigation focuses on how the use of expanding and rolling windows affects the optimal window type for forecasting. Finally, the importance of choosing different error measurements is emphasized in the framework of comparing forecasting performances. Our results indicate that in GARCH-type models, 5-minute realized variance shows the best forecasting performance, while in deep learning models, median realized variance (MedRV) has the best performance. Moreover, it has been determined that an increase in the training/test ratio and the selection of the rolling window approach both play important roles in achieving better forecast accuracy. Finally, our results show that deep learning models outperform GARCH-type models in volatility forecasts.

Visualization and Segmentation of Lung Tissue in DICOM-format CT Images

Abstract In this project, two tools were developed as a preliminary step towards the creation of future Computer-Aided Diagnosis systems for the automatic detection of lung diseases. The first methodology aimed to extract information from DICOM-format files using Python and the Jupyter Notebook programming environment. The implemented process enables the generation of images in various anatomical planes, using the pixel matrix in Hounsfield units. Additionally, a custom tool was developed for anonymizing and visualizing file information. The techniques employed are independent of the grayscale image generated and are not reliant on the type of window used. The second tool introduces a lung segmentation technique for chest CT images. The segmentation uses the pixel matrix in Hounsfield units to initially identify lung tissue based on its linear X-ray attenuation. Subsequently, the Watershed algorithm based on markers is employed as the primary foundation of the technique. Various morphological operations and transformations on axial slices are applied, resulting in successful lung segmentation.

Research on natural ventilation of a community library related to epidemiological insight by using CFD simulation method

Abstract Spreading through airflow is one of the most common routes for the transmission of viruses, which may result in serious public health problems. To acquire a healthy space for the community library, designing a reasonable ventilation system is a vital measure which can reduce the risk of transmission of the virus effectively. The purpose of this research is to study natural ventilation methods in an epidemiological insight for the design of a healthy community library by using computational fluid dynamics (CFD) software SOLIDWORKS Flow Simulation. Five typical opening types of windows were selected and studied in the research on the ventilation of the yoga room of a community library, with airflow evaluated by the ACH method, so as to search for the most suitable window type to avoid airborne virus transmission. The results acquired by SOLIDWORKS simulation showed that 75%, 90%, and 100% openings corresponding to Jalousie, casement, and double casement window types respectively are optimal in community space. The natural ventilation design by proper windows can be applied in the community library and other public spaces.

Applied Hedge Algebra Approach with Multilingual Large Language Models to Extract Hidden Rules in Datasets for Improvement of Generative AI Applications

Generative AI applications have played an increasingly significant role in real-time tracking applications in many domains including, for example, healthcare, consultancy, dialog boxes (common types of window in a graphical user interface of operating systems), monitoring systems, and emergency response. This paper considers generative AI and presents an approach which combines hedge algebra and a multilingual large language model to find hidden rules in big data for ChatGPT. We present a novel method for extracting natural language knowledge from large datasets by leveraging fuzzy sets and hedge algebra to extract these rules, presented in meta data for ChatGPT and generative AI applications. The proposed model has been developed to minimize the computational and staff costs for medium-sized enterprises which are typically resource and time limited. The proposed model has been designed to automate question–response interactions for rules extracted from large data in a multiplicity of domains. The experimental results show that the proposed model performs well using datasets associated with specific domains in healthcare to validate the effectiveness of the proposed model. The ChatGPT application in case studies of healthcare is tested using datasets for English and Vietnamese languages. In comparative experimental testing, the proposed model outperformed the state of the art, achieving in the range of 96.70–97.50% performance using a heart dataset.

CNN-Based Machine Tool Monitoring with STFT Image Analysis

Abstract: In the realm of machine tool operation, effective condition monitoring holds predominant importance to ensure operational reliability and safety. Leveraging deep learning methodologies, particularly convolutional neural networks (CNN), for defect identification has gained significant attention. However, inherent challenges persist, including the extraction of salient features and potential information loss while extracting the features from raw vibration signals. In response, this study proposes an intelligent approach for condition monitoring in machine tools, integrating short-time Fourier transform and convolutional neural networks (STFT-CNN). The process entails using STFT to convert one-dimensional vibration signals into time-frequency pictures, which are then fed into the STFT-CNN model to acquire and identify fault features. Furthermore, the study explores optimizing STFT parameters, such as window type, window width, and translation overlap width, across various typical window functions to improve the effectiveness of the transformation process. Within the STFT-CNN model, the utilization of stacked double convolutional layers aims to augment the model's nonlinear expression capacity, thereby facilitating robust fault diagnosis capabilities in machine tool condition monitoring applications

Evaluation of cooling energy saving and ventilation renovations in office buildings by combining bioclimatic design strategies with CFD-BEM coupled simulation

Bioclimatic design knowledge and measures, including passive techniques and natural ventilation cooling, are urgently for building renovation to mitigate global warming. The performance of indoor airflow, energy, economic, and environmental aspects has been researched separately. However, developing a comprehensive framework to investigate bioclimatic strategies under the impact of climate change is challenging. This study aims to integrate bioclimatic design strategies with a coupled simulation approach using Fluent and EnergyPlus to evaluate retrofitting techniques for a single-room office in a university building in a hot summer and cold winter climate. A bioclimatic analysis was conducted to recommend cost-effective passive cooling strategies, including natural ventilation and window shading systems. Two passive measures, changing window types and furniture layouts, were included in renovation packages. Results indicated that the empty model is not valid compared to the fully furnished model when calculating room air change per hour (ACH). Natural ventilation was the most cost-effective strategy to mitigate climate change, with a net present value (NPV) ranging from USD 135.09 to 402.81 over 30 years. However, a higher ACH did not ensure a longer natural ventilation period. By changing the top-hung window to a vertical sash and implementing a movable furniture layout, can achieve better ventilation efficiency. The installation of window vertical shadings had the highest annual emission savings by 2080, while it performed negative economic viability in both the present and the 2050 climates. This research demonstrated how combining bioclimatic measures with a co-simulation approach can offer a thorough evaluation of building energy retrofitting. The results could support architectural and engineering design by integrating bioclimate measures to identify the most effective strategies.

Successful one-stage surgical repair in a rare adult patient with berry syndrome.

Berry syndrome is a rare congenital cardiac malformation, herein we report an adult male patient who was successfully repaired by one-stage surgery. 18-year-old male patient presenting symptoms of chest tightness and shortness for over a year presented to outpatient clinic in our department to have corrective procedure heart. CTA revealed an Aortopulmonary Window (APW) type III, measuring 4.6 cm in maximum diameter. The right pulmonary artery originated from the ascending aorta, and the pulmonary trunk exhibited dilation with dimensions of 8.3 cm × 5.7 cm × 5.9 cm. Additional findings included Interrupted Aortic Arch (IAA) type A, intact ventricular septum, and Patent Ductus Arteriosus (PDA). Echocardiography showed bidirectional shunt at the level of APW in severe pulmonary hypertension. The right heart catheterization indicated a mean pulmonary artery pressure of 70mmHg and a pulmonary artery resistance of 5 Wood units. We evaluated after two weeks of treatment with epoprostenol at a rate of 20 ng/(kg. min) and found a significant improvement in pulmonary-artery pressure. Finally, we communicated with the patient's family and decided to proceed with the procedure. For complex cardiovascular malformations, the ideal treatment strategy must be tailored to the characteristics of the patient to provide maximum efficacy and safety.

Karst hyporheic zone and its aquatic environmental effects: a preliminary study in South China

ABSTRACT Groundwater (GW)–surface water (SW) interactions profoundly impact aquatic systems. In karst regions characterized by the coexistence of various media, the hyporheic zone (HZ) remains poorly understood. This study explores the HZ by examining karst development and various hydrological, hydrochemical, and biological processes. The research reveals high development of karst and difference in water environment may suggest a diversity of water sources beyond GW, leading to the formation of a karst hyporheic zone (KHZ). Four common KHZ types are proposed based on karst development, with a focus on spring outlet and karst window types. Interactions in these zones are driven by river backflow and GW abstraction in high- and low-water periods, respectively. KHZs may have water quality purification capabilities, but further research on biogeochemical processes is needed. This study provides preliminary insight into KHZs in karst water systems and suggests key scientific questions for future research in South China.