Overview of Green Roof Technology as a Prospective Energy Preservation Technique in Arid Regions

Mahmoud, Abubakar Sadiq

doi:10.48084/etasr.4919

Cited by 6 publications

(5 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rising temperatures also raise the peak loads required to meet the requirements for air conditioning and refrigeration, which can result in increased emissions of greenhouse gases (GHGs), and other pollutants [32]. Green roofs may provide additional benefits to building occupants and city dwellers, including reduced heating and cooling costs and increased durability of roof membranes due to temperature fluctuations [33]. Reduced stormwater runoff and combined sewage overflow, which occurs when the sewer system is flushed during extreme rainfall events, are also added benefits of green roofing.…”

Section: Green Roofing Techniquesmentioning

confidence: 99%

Sustainable Mitigation Strategies for Urban Heat Island Effects in Urban Areas

Irfeey,

Chau,

Sumaiya

et al. 2023

Sustainability

View full text Add to dashboard Cite

The globe is at a crossroads in terms of the urban heat island effect, with rising surface temperatures due to urbanization and an expanding built environment. This cause-and-effect connection may be linked to weather-related dangers, natural disasters, and disease outbreaks. Urbanization and industrialization will not lead to a secure and sustainable future. Finding solutions to problems such as the heat island effect is at the forefront of scientific research and policy development. Sustainable ways to decrease urban heat island impacts are a core principle for urban planners. This literature study examines the benefits of adding green infrastructure and sustainable materials in built-up areas to reduce the urban heat island effect. Materials such as reflective street pavements, coating materials including light-colored paint, phase-change materials, color-changing paint, fluorescence paint, and energy-efficient appliances are considered sustainable materials, whereas green infrastructure like green roofs, green walls, green parking and pavements, and shaded streets are considered to mitigate the urban heat island effect. The hurdles to the widespread adoption of such practices include a lack of governmental legislation, insufficient technological development, an erroneous estimation of economic gains, and unwillingness on the part of impacted parties.

show abstract

Section: Green Roofing Techniquesmentioning

confidence: 99%

Sustainable Mitigation Strategies for Urban Heat Island Effects in Urban Areas

Irfeey,

Chau,

Sumaiya

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“… Use the interior surface of the building envelope as a reflection plane to the inside of the building. This solution requires the wall surface material to have a high reflection coefficient or be installed with external reflectors/devices to reflect the light into the room and spread it horizontally [8] (Figure 6(b)).…”

Section: Wwwetasrcom Phuong Et Al: a New Approach In Daylighting Desi...mentioning

confidence: 99%

A New Approach in Daylighting Design for Buildings

Phuong,

Nguyen,

Nguyen

et al. 2023

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

Daylighting is a future building design trend, subjected to all the global energy efficiency standards, but its design still largely depends on the architect and it is difficult for electrical engineers to precisely quantify the energy efficiency of the solution. This study presents an innovative integration process of design and simulation, rooted in the parameters of existing standards and regulations, and leveraging architectural design and simulation software tools. Within this novel integrated design methodology, the peripheral zones of the building envelope and the central core areas of the structure are discretely conceptualized and designed. Daylight intensity in the building envelope’s peripheral zones is calculated based on the average daylight factor and the building’s optimized window-to-wall ratio. In contrast, the central core areas are designed to attract daylight from open spaces on the roof, roof structure, reflective roofs, and clerestories. A building energy performance simulation tool is utilized to validate the energy efficiency of these new design techniques. This fresh approach is tested on a complex pilot-scale building in Nhon Trach, Dong Nai, Vietnam, to evaluate the method’s feasibility and scientific soundness. The simulation results corroborate the accuracy of the proposed approach in quantifying the efficiency of reducing a building’s lighting system energy consumption by 34%, equivalent to an annual CO2 saving of over 4,000 tons. Through the proposed daylighting design, an approximate 7% increase incurs in total initial investment, promising substantial profitable returns.

show abstract

“…With the rapid advancement of global urbanization, it is important to find solutions to improve spatial efficiency of dense urban space. Building rooftops are receiving significant attention as spaces for developing vertical greening, solar panels deploying and other applications (Mahmoud et al, 2022;Yang et al, 2023;Li et al, 2023). To effectively develop and utilize building rooftops space, detailed three-dimensional structural information is required, especially accurate information regarding the rooftops and their properties, like area, slope, orientation and structural layouts.…”

Section: Introductionmentioning

confidence: 99%

Building Extraction from LiDAR Point Clouds Based on Revised RandLA-Net

Zhang,

Wang,

Lin

et al. 2024

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. 3D building models is crucial for applications in smart cities. Automatic reconstruction of 3D buildings has been investigated based on various data sources. Point clouds from airborne LiDAR scanners can be used to extract buildings data due to its high accuracy and point density. In this paper, we present a methodology to segment buildings and corresponding rooftop structure from point clouds. First, RandLA-Net, which is an efficient and lightweight neural network for semantic segmentation of large-scale point clouds, is revised and adopted for building segmentation. By implementing local feature aggregation of each point, RandLA-Net can effectively preserve geometric details in point clouds. Besides 3D coordinates of point clouds, we incorporated point attributes including pulse intensity and return numbers into the network as additional features. Feature normalizations are applied to the input features. To achieve a better result of the local feature aggregation, hyperparameters of the network are fine-tuned according to the density of points and building size. Based on the classified building point clouds, DBSCAN clustering algorithm is implemented for segmenting individual buildings. Elevation histogram analysis is conducted to determine optimal threshold values for delineating candidate rooftop point clouds of individual buildings. For the buildings with multiple rooftops, multiple elevation threshold values are necessary to extract corresponding rooftops or walls. Then DBSCAN is employed again for segmentation of individual rooftops and denoising of point clouds of each building. Finally, Alpha-shape analysis is applied based on adaptive threshold values to build the envelope of each rooftop. Experiments show that our implementation of building segmentation using RandLA-net achieves higher mean IoU (Intersection over Union) and better classification performance in building segmentation. ISPRS benchmark data was used in our experiment and our methodology produce results with accuracy of 90.79%.

show abstract

Overview of Green Roof Technology as a Prospective Energy Preservation Technique in Arid Regions

Cited by 6 publications

References 63 publications

Sustainable Mitigation Strategies for Urban Heat Island Effects in Urban Areas

Sustainable Mitigation Strategies for Urban Heat Island Effects in Urban Areas

A New Approach in Daylighting Design for Buildings

Building Extraction from LiDAR Point Clouds Based on Revised RandLA-Net

Contact Info

Product

Resources

About