1) An experimental and simulation study was conducted to evaluate daylighting in an atrium building model in tropical conditions. Physical experiments using a scale model measured daylight illuminance levels and distributions in the adjoining space.
2) Simulation software (BESIM) that uses ray tracing and radiosity methods was used to calculate interior daylight levels and compared to measurements. Good agreement between simulations and measurements was found, validating the simulation approach.
3) Both experiments and simulations showed that daylighting in the atrium building was generally sufficient for interior spaces throughout the day due to strong tropical sunlight and sky luminance. Illuminance levels were highest in southern areas due to sun position, and decayed exponentially further from the light well.
Hottel's Clear Day Model for a typical arid city - Jeddahinventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Assessment of Urban Green Space Structures and Its Effect on Land Surface Tem...Manat Srivanit
Presentation in the 2019 2nd International Conference on Civil Engineering and Architecture on September 21-23, 2019, Seoul National University, South Korea
A Classification Urban Precinct Ventilation Zones using Key Indicators of Spa...Manat Srivanit
Session 6-Urban Planning and Development
2021 4th International Conference on Civil Engineering and Architecture (Virtual Conference): July 10-12, 2021; Seoul, South Korea
Hottel's Clear Day Model for a typical arid city - Jeddahinventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Assessment of Urban Green Space Structures and Its Effect on Land Surface Tem...Manat Srivanit
Presentation in the 2019 2nd International Conference on Civil Engineering and Architecture on September 21-23, 2019, Seoul National University, South Korea
A Classification Urban Precinct Ventilation Zones using Key Indicators of Spa...Manat Srivanit
Session 6-Urban Planning and Development
2021 4th International Conference on Civil Engineering and Architecture (Virtual Conference): July 10-12, 2021; Seoul, South Korea
Geothermal exploration using remote sensing techniquesSepideh Abadpour
On these slides, I have spoken about applications of remote sensing in geothermal exploration. Unfortunately I've done it when I was pursuing my bachelors, so the citations are not correct but it will give you some ideas.
Any feedback is welcome
Human thermal perception and outdoor thermal comfort under shaded conditions ...Manat Srivanit
The 6th International Conference on Sustainable Energy and Environment [Special Session: Urban Climate & Urban Air Pollution (UCUA)] 28-30 November 2016, Dusit Thani Bangkok Hotel, Thailand
Quantifying the Stability of Summer Temperatures for Different Thermal Climat...Manat Srivanit
International Conference on Southeast Asian Weather and Climate 2013 “ASEAN Adapting to Climate Change” (Link: http://www.icsaforum.org/ICSA/index.php) and
Srivanit, M., Hokao, K., Iamtrakul, P. (2014). Classifying Thermal Climate Zones to Support Urban Environmental Planning and Management in the Bangkok Metropolitan Area. Journal of Architectural/Planning Research and Studies (JARS), 11(1), pp.73-92. (Link: https://www.tci-thaijo.org/index.php/jars/article/view/23879)
Feature Extraction from the Satellite Image Gray Color and Knowledge Discove...IJMER
Satellite take images of the Earth in selected spectral bands that are in both the visible and
the infrared portions of the electromagnetic spectrum. Many Satellites provide three types of Satellite
Images. These Images are Visible Satellite Image, Infrared Satellite Image, and Water Vapor Satellite
Image. These images are important for different reasons, and, in some cases, all three are needed to
accurately interpret atmospheric conditions. These Satellite images contain different types of cloud. This
paper shows cloud feature extraction using Histogram. A table that shows cloud existence in different
image is created, called Association table in which Y represents cloud is exist and N represent not exist.
Association rule mining is applied to this table to make relations between different clouds and discover
the knowledge about cloud existence.
study and analysis of hy si data in 400 to 500IJAEMSJORNAL
The ability to extract information about world and present it in way that our visual perception can comprehend is ultimate goal of imaging science in remote sensing .Hyperspectral imaging system is most powerful tool in the field of remote sensing also called as imaging spectroscopy, It is new technique used by researcher to detect terrestrial, vegetation and mineral. This paper reports analysis of hyperspectral images. Firstly the hyperspectral image analyzed by using supervised classification of Amravati region from Maharashtra province of India. The report reveals spectral analysis of Amravati region. We acquired satellite imagery to perform the classification using maximum like hood classifier. Analysis is performing in ERDAS to determine the spectral reflectance against the no of band. The analytical outcome of paper is representing the soil, water, vegetation index of the region.
Unsupervised Building Extraction from High Resolution Satellite Images Irresp...CSCJournals
Extraction of geospatial data from the photogrammetric sensing images becomes more and more important with the advances in the technology. Today Geographic Information Systems are used in a large variety of applications in engineering, city planning and social sciences. Geospatial data like roads, buildings and rivers are the most critical feeds of a GIS database. However, extracting buildings is one of the most complex and challenging tasks as there exist a lot of inhomogeneity due to varying hierarchy. The variety of the type of buildings and also the shapes of rooftops are very inconstant. Also in some areas, the buildings are placed irregularly or too close to each other. For these reasons, even by using high resolution IKONOS and QuickBird satellite imagery the quality percentage of building extraction is very less. This paper proposes a solution to the problem of automatic and unsupervised extraction of building features irrespective of rooftop structures in multispectral satellite images. The algorithm instead of detecting the region of interest, eliminates areas other than the region of interest which extract the rooftops completely irrespective of their shapes. Extensive tests indicate that the methodology performs well to extract buildings in complex environments.
Automated features extraction from satellite images.HimanshuGupta1081
This is the final year civil engineering project presentation in which different features i.e. Buildings, Road Network, Vegetation and Water are extracted automatically from satellite images with the help of Ecognition software. We have done our analysis on satellite images of sikar, rajasthan. In this project object based image analysis (OBIA) approach are used.
Bren Starlight on Old Madras Road- Call 1800 3000 5245Kin Housing
Bren Starlight is an upcoming property by the Bren Corporation in the Old Madras Road location. The project is spread in an area of 1.75 acres and consists of 195 units comprising of 1,2 and 3 BHK apartments. The 1, 2 and 3 BHK is priced at 36.5, 49.7 and 61 lacs each. For more information call us at 1800 3000 5245 or drop a mail at contact@kinhousing.com.
How do you pick the right Storage vendor?Violin Memory
Find out how to pick the best storage vendor. This presentation covers the best practices for Flash storage, presented by Eric Herzog, CMO & SVP of Alliances, Violin Memory.
In this presentation you will learn about
* Storage challenges in application deployments
* Flash fabric architecture (FFA), including performance, density and resiliency
* How a flash fabric architecture revolutionizes the economics in a data center thanks to reduced storage costs, reduced core/servers, reduced software licensing, and reduced power/space/cooling usage.
* real-world examples from customers, including a global telcom, a Fortune 500 retailer, Juniper Networks and multiple other customers
* examples from customers of increased performance and lowered costs in the datacenter
Geothermal exploration using remote sensing techniquesSepideh Abadpour
On these slides, I have spoken about applications of remote sensing in geothermal exploration. Unfortunately I've done it when I was pursuing my bachelors, so the citations are not correct but it will give you some ideas.
Any feedback is welcome
Human thermal perception and outdoor thermal comfort under shaded conditions ...Manat Srivanit
The 6th International Conference on Sustainable Energy and Environment [Special Session: Urban Climate & Urban Air Pollution (UCUA)] 28-30 November 2016, Dusit Thani Bangkok Hotel, Thailand
Quantifying the Stability of Summer Temperatures for Different Thermal Climat...Manat Srivanit
International Conference on Southeast Asian Weather and Climate 2013 “ASEAN Adapting to Climate Change” (Link: http://www.icsaforum.org/ICSA/index.php) and
Srivanit, M., Hokao, K., Iamtrakul, P. (2014). Classifying Thermal Climate Zones to Support Urban Environmental Planning and Management in the Bangkok Metropolitan Area. Journal of Architectural/Planning Research and Studies (JARS), 11(1), pp.73-92. (Link: https://www.tci-thaijo.org/index.php/jars/article/view/23879)
Feature Extraction from the Satellite Image Gray Color and Knowledge Discove...IJMER
Satellite take images of the Earth in selected spectral bands that are in both the visible and
the infrared portions of the electromagnetic spectrum. Many Satellites provide three types of Satellite
Images. These Images are Visible Satellite Image, Infrared Satellite Image, and Water Vapor Satellite
Image. These images are important for different reasons, and, in some cases, all three are needed to
accurately interpret atmospheric conditions. These Satellite images contain different types of cloud. This
paper shows cloud feature extraction using Histogram. A table that shows cloud existence in different
image is created, called Association table in which Y represents cloud is exist and N represent not exist.
Association rule mining is applied to this table to make relations between different clouds and discover
the knowledge about cloud existence.
study and analysis of hy si data in 400 to 500IJAEMSJORNAL
The ability to extract information about world and present it in way that our visual perception can comprehend is ultimate goal of imaging science in remote sensing .Hyperspectral imaging system is most powerful tool in the field of remote sensing also called as imaging spectroscopy, It is new technique used by researcher to detect terrestrial, vegetation and mineral. This paper reports analysis of hyperspectral images. Firstly the hyperspectral image analyzed by using supervised classification of Amravati region from Maharashtra province of India. The report reveals spectral analysis of Amravati region. We acquired satellite imagery to perform the classification using maximum like hood classifier. Analysis is performing in ERDAS to determine the spectral reflectance against the no of band. The analytical outcome of paper is representing the soil, water, vegetation index of the region.
Unsupervised Building Extraction from High Resolution Satellite Images Irresp...CSCJournals
Extraction of geospatial data from the photogrammetric sensing images becomes more and more important with the advances in the technology. Today Geographic Information Systems are used in a large variety of applications in engineering, city planning and social sciences. Geospatial data like roads, buildings and rivers are the most critical feeds of a GIS database. However, extracting buildings is one of the most complex and challenging tasks as there exist a lot of inhomogeneity due to varying hierarchy. The variety of the type of buildings and also the shapes of rooftops are very inconstant. Also in some areas, the buildings are placed irregularly or too close to each other. For these reasons, even by using high resolution IKONOS and QuickBird satellite imagery the quality percentage of building extraction is very less. This paper proposes a solution to the problem of automatic and unsupervised extraction of building features irrespective of rooftop structures in multispectral satellite images. The algorithm instead of detecting the region of interest, eliminates areas other than the region of interest which extract the rooftops completely irrespective of their shapes. Extensive tests indicate that the methodology performs well to extract buildings in complex environments.
Automated features extraction from satellite images.HimanshuGupta1081
This is the final year civil engineering project presentation in which different features i.e. Buildings, Road Network, Vegetation and Water are extracted automatically from satellite images with the help of Ecognition software. We have done our analysis on satellite images of sikar, rajasthan. In this project object based image analysis (OBIA) approach are used.
Bren Starlight on Old Madras Road- Call 1800 3000 5245Kin Housing
Bren Starlight is an upcoming property by the Bren Corporation in the Old Madras Road location. The project is spread in an area of 1.75 acres and consists of 195 units comprising of 1,2 and 3 BHK apartments. The 1, 2 and 3 BHK is priced at 36.5, 49.7 and 61 lacs each. For more information call us at 1800 3000 5245 or drop a mail at contact@kinhousing.com.
How do you pick the right Storage vendor?Violin Memory
Find out how to pick the best storage vendor. This presentation covers the best practices for Flash storage, presented by Eric Herzog, CMO & SVP of Alliances, Violin Memory.
In this presentation you will learn about
* Storage challenges in application deployments
* Flash fabric architecture (FFA), including performance, density and resiliency
* How a flash fabric architecture revolutionizes the economics in a data center thanks to reduced storage costs, reduced core/servers, reduced software licensing, and reduced power/space/cooling usage.
* real-world examples from customers, including a global telcom, a Fortune 500 retailer, Juniper Networks and multiple other customers
* examples from customers of increased performance and lowered costs in the datacenter
Vamizi Island floats in the Quirimbas Archipelago in the furthest north of Mozambique and are proposed to take your breath away. Unmistakably, this uber-rich Mozambique island getaway will blow your mind and sanitize your soul. See it to trust it – go to the 12 km long sickle shaped desert island when you can.
For more information please visit http://www.vamiziisland-mozambiquetravel.com/
Good daylighting and shading design in urban outdoors not only provides a comfortable luminous environment, but also delivers energy savings and
comfortable environments for surroundings, particularly in the hot arid climate. Yet, it can lead to a reduction in the daylight availability leading to visual
discomfort. According to the Illuminating Engineering Society of North America (IESNA, 2000, 2011), it is essential that daylight effects be considered in
any space where daylight is admitted, even if it is not exploited as a light source, in order to reduce the need for artificial lighting. Therefore, an analysis
of solar access and shading is necessary for to assure visual comfort underneath the shading tents. This paper attempts to investigate seven different
shading scenarios addressing the solar radiation access underneath, in compliance with ANSI/ASHRAE/IESNA Standard 90.1-2007 recommendations,
by employing DIVA, which is an integration of Radiance and DAYSIM with thermal load simulation using Energy Plus within [1].
Individual studies on solar chimney and earth air tunnel heat exchanger have been carried out by various
researchers but individual systems are not fulfilling the space heating and cooling demand of buildings. So, integrated
approach of solar chimney and earth air heat exchanger has been studying in this communication. Computational fluid
dynamics software is used for the modelling and simulation studies. The cooling effect is produced by 5.30-6.72 kW at 40°C
ambient temperature and space heating is evaluated as 10.28-14.71 kW at 5°C ambient temperature and 400-1000 W/m2 16
solar radiations. And it is sufficient heating and cooling for buildings at average solar irradiance. The SC-EATHE integrated
system approach produced 18 37% higher heating and cooling effect than the EATHE alone system.
Proper ventilation in one of the primary requirements of any domestic or commercial buildings. The conventional method employs usage of air conditioning or air cooling systems which requires high power consumption. The solar driven ventilation systems can be used in buildings which doesn’t require any external power. The current research reviews various researches conducted in improving system of passive ventilation along use of phase change material as energy storage system. Passive design of buildings does not use the electrical and mechanical systems in providing comfortable indoor environment. Prem Shankar Sahu | Praveen Kumar | Ajay Singh Paikra "Review on Solar Chimney Ventilation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42427.pdf Paper URL: https://www.ijtsrd.comengineering/mechanical-engineering/42427/review-on-solar-chimney-ventilation/prem-shankar-sahu
In a plethora of countries, buildings are adapted to the local climate condition using sustainable architecture techniques and materials, thereby the highest level of climatic comfort is provided. For example, the walls and roofs reflecting sunlight have been used for centuries in the warm regions of the world, while in the cold regions, the maximum use of solar energy has been tended.
The process of modernization has created a high density, thereby demand for fast and affordable constructions in cities has subsequently increased, resulting in reduced attention to environmentally sustainable architecture techniques that, in turn, has led to the financial loss and scarcity of non-renewable energy resources over long periods of time.
Regarding the energy crisis and the necessity of saving non-renewable energy, the reduced need to use heating/cooling systems is assumed to be one of the key goals in advanced building design.
The present study was conducted based on causal research and simulation. Design Builder thermal simulation software was used as the tool to this end. Therefore, a building with/out solar chimney was modeled and analyzed to identify the effect of solar chimney on the amount of energy used for heating.
A review of the daylight rule of thumb Assessing window head height to daylit...Syma Haque Trisha
Abstract: This paper reviews the validity of the ubiquitous daylighting rule of thumb (DRT) that relates windowhead-
height to the depth of the daylit area adjacent to a façade, in the specific context of the tropical conditions found
in Dhaka. The spatial depth in a room, up to which penetration of daylight ensures adequate daylight for a specific
task, is defined as the depth of daylit zone. According to DRT, the daylit zone is considered, to be a depth of two and a
half times the window head height. Deeper parts of a space are considered in ‘dark zone’, having inadequate daylight,
and requiring artificial light. However, in the Tropics, parts of the daylit zone, may be over-lit, adversely affecting both
visual and thermal comfort, thus influencing consequent energy consumption. This paper presents a simulation study
evaluating DRT in recent tall office buildings of Dhaka, with the most commonly used shading devices, for the south,
east and west orientations. Six selected fixed external shading devices, found from a field survey, have been assessed
through the simulation study, during the overheated period of summer, considering related daylit zone depth and their
resulting lighting/luminous efficiency. The simulation results support predictions made by DRT for specific shading
devices. However, they also demonstrate the limitations of the rule, with differing relationships between window head
height and daylit zone depth all day long, based on facade orientation, as well as on the geometrical, and the material
characteristics of the studied shading devices. The results clearly indicate that, modification of the dimensional
relations of light zone, by proper selection of shading devices, can enhance luminous efficiency in offices of Dhaka and
similar Tropical areas.
Keywords: Daylight thumb rule(DRT), Daylit zone depth, window head height, shading device.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Show drafts
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
An Experimental and Simulation of Daylighting in Atrium Building in the Tropics
1. Code: x-xx
4th International Conference on Sustainable Energy and Environment (SEE 2011):
A Paradigm Shift to Low Carbon Society
23-25 November 2011, Bangkok, Thailand
1
AN EXPERIMENTALAND SIMULATION STUDY OF DAYLIGHTING IN
ATRIUM BUILDING IN THE TROPICS
Atitaya Saradphun1,
*, Pipat Chaiwiwatworakul1
and Surapong Chirarattananon1
1
The Joint Graduate School of Energy and Environment, King Mongkut’s University of Technology Thonburi, Bangkok,
Thailand, *
Corresponding Author: a.saartphun@gmail.com
Abstract: This study investigates an application of the daylight in an adjoining space of an atrium building in a tropical
climate. Physical experimentation using a scale model was performed under real skies to measure the daylight
illuminance and its distribution in the adjoining space and to validate the daylight calculation from a simulation
software namely “BESIM”. BESIM uses the ray-tracing method to deal with the beam light calculation and the flux-
transfer method for determining the interior light from the diffuse skylight. Using BESIM, the interior daylight in the
adjoining space was evaluated as functions of well index and interior surface reflectance. The simulation results show
that with the strong sunlight and the high luminosity of the tropical sky, daylighting in the atrium building is applicable.
The daylight is generally sufficient for circulation in the adjoining space throughout the day and all year round. For
Thailand where is located 5-20 degrees north of the earth equator, the influence of the sunlight to the northern area of
the space is larger than other areas. The sunlight also causes a high variance of the daylight in the area. The more
uniformity of the daylight distribution is observed for the southern area of the space. The use of interior shading helps
improve the daylight distribution and increase the daylight level for the lower floors of the atrium.
Keywords: Atrium building, Daylighting, Daylight factor, Well index, Illuminance
1. INTRODUCTION
Atrium offers a significant advantage of introducing natural light for use in building. It provides connection of the
interior adjoining space with the exterior and creates a focal contact point among people. The natural light delivered by
the atrium well does not only conserve electrical energy use from artificial lamps but also improve the interior on
psychological and ergonomic grounds. It brings more benefits for buildings in high latitude regions where more both
natural light and heat gains are needed in building especially during winter.
Atrium design for building involves analysis of several configurations and properties: orientation to the sun, shape of
the atrium, glaze transmittance of the atrium roof, reflectance of the atrium wall surfaces, etc. Daylight factor (DF) is
found to be an index typically used to describe the level and distribution of daylight in adjoining space in the atrium.
The daylight factor is expressed mathematically as a ratio of the interior daylight level to its corresponding exterior
daylight illuminance.
In the late 1980s, Kim and Boyer (1986) [1] developed a relationship between the shape of the atrium and the daylight
factor (DF) at the center of an open atrium. Gillette and Treado (1988) [2] carried out later a detailed thermal transport
and daylighting analysis of atria buildings. The results demonstrated the benefits of roof glazing on reducing the
lighting energy requirements.
Liu et al. (1991) [3] investigated the variations of daylight distribution in an atrium in relation to its geometric shape
index. Based on a scale-model experiment, Szerman (1992) [4] developed a monogram for calculating the mean
daylight factor in an adjoining space. In order to use the monogram, the information required were the fundamental
design parameters i.e. space position, atrium width, section-to-aspect ratio SAR (height/depth), atrium wall and floor
reflectance and glazing type. Although this monogram was relatively simple and easy to use, it still lacked some
validation and flexibility and it was hard to extend it to general applications [5]. Baker et al. (1993) [6] presented some
measured data of horizontal illuminances in the spaces of a square atrium in the form of curves relating daylight factor
to aspect ratio for three atrium wall surfaces. The results indicated that the spaces near the ground were mainly
illuminated by light reflected from the wall and floor whilst the top spaces received most light directly from the sky.
Several studies have illustrated that the reflectance of the atrium wall surfaces and the percentage of glazing in
comparison with the atrium wall surfaces are basic parameters that affect the transmission of the light in the adjoining
spaces. Cole (1990) [7] conducted experiments with scale models on the effects of varying the glazed area of the atrium
walls on daylight values in the adjacent atrium spaces. Aizlewood (1995) [8] reported that the daylight levels and
distributions in the adjoining spaces are significantly influenced by the vertical daylight levels on the atrium well
surfaces and the space properties (size and surface reflectances). The studies from Sharples (2007) [9]and from Du
(2009) [10] are additional evident the well geometries and surface reflectances are important factors determining atrium
characteristics which have a direct effect on the vertical daylight levels at the atrium wall. However, the reviews by
2. Code: x-xx
4th International Conference on Sustainable Energy and Environment (SEE 2011):
A Paradigm Shift to Low Carbon Society
23-25 November 2011, Bangkok, Thailand
2
Wright (1998) [11] and Sharples (2007) [9] indicated that many of the researches investigating daylight in atria have
tended to focus upon illuminance levels on the atrium well floor.
Several of the works presented above were based on scale model-measurements in an artificial sky; certainly a
computer simulation could give a more rapid evaluation of the design choices [12], saving time and money provided
that the software is supported by validation studies. Radiance [13] has been in widespread use in current light research
and several studies have shown good agreement with the measured data confirming its scientific validity [14-16].
Those investigations showed that Radiance simulations could achieve a high accuracy in typical daylit spaces through
comparison with measurement and theoretical analysis. Radiance has become the most popular package for daylight
modeling in the built environment.
In the midst of the researches, it is found that the works are still limited in high latitude regions. The studies has
investigated particularly for overcast sky conditions as it represents a worst case scenario as well the most challenging
circumstances under which an atrium could be tested as being beneficial in a building.
2. COMPARISONS BETWEEN MEASUREMENT AND SIMULATION
2.1 BESIM Simulation Software
A computer program called BESim was used in the calculation of daylight in adjoining space in atrium that utilized
measurement data taken at the station. The program can be used for daylight as well as thermal calculation. The
program requires defining the coordinates of each flat interior section in a zone. The program utilizes the method of
Hien and Chirarattananon (2005)[17] in the calculation of view factors between all surfaces in each enclosed zone
created by a user. For daylight, it calculates sunlight illuminance through atrium using forward raytracing. For diffuse
daylight from the sky, it uses flux transfer, or the radiosity method, to calculate the inter-reflecting light. It uses
configuration factors to calculate illuminance at a given point on a work plane. In the present version, BESim uses the
ASRC-CIE sky luminance and sky irradiance models that utilize CIE clear and turbid clear sky models, partly cloudy
and cloudy sky models. The BESIM program was used to predict the daylight illumiances in the atrium adjoining space.
Comparison between the calculated values and that of measurements was made in order to validate the program.
2.2 Physical Model Measurement and Simulation
A 1:25 scale model of a ten-storey square-shape atrium building was constructed for this study. Figure 1 (a) illustrates a
photograph of exterior model configuration. The model made from plywood and has dimensions of width 1.6 m.,
length 1.6 m. and height 1.4 m. The floor-to-floor height of the model is about 0.14 m. The model is equivalent with an
atrium building with 40 m. width, 40 m. length and 35 m. height. The interior surfaces of the model were painted white
with a visible reflectance value of about 0.75.
Eight light sensors were used to measure daylight in the atrium model. Examine Fig. 1 (b), four light sensors were
placed along the centre line of the floor space toward south direction. The first sensor was located 8 cm. from the edge
of the light well that is equivalent to 2 m. for the actual. The second sensor was located 8 cm. apart from the first one
and so on for the third and the forth sensors. The position of the forth sensor is near the rear wall. The light
measurements were carried out at work plane level 0.75 m. above floor.
(a) Photograph of exterior view of the scale model (b) Position of sensors for light measurement
Fig. 1 A scale model of an atrium building
A light well was located at the center of the atrium model. The dimensions of the well are 0.4m. wide, 0.4 m. long, and
1.40 m. high, running from the top of the model to its base floor. The well index (WI) is about 3.5. The model has no
balcony wall around the well (assuming fully clear glazed surfaces) and no obstruction/partition in the adjoining space.
The aperture on the model roof top has no glazed or structural roof systems in order to exclusively study the effect of
specific parameters (geometry and reflectance) on daylight levels. Different roofs forms would have distorted the light
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distributions in the atria. In the experimentation, the model was created on the roof deck of a seven-story building of
the school of Bioresearches and Technology in order to measure daylight in the atrium under real sky.
2.2.1 Experiment on 4th
July 2011
On this experimentation day, the sky can considered to be clear throughout the day. The global daylight illuminance
was about 100 klux during 10:30-15:00. The beam illuminance was also high in this day. Figure 2 exhibits a plot of the
variations of beam (Evb), diffuse horizontal (Evd), and global (Evg) daylight illuminance from 8.00-17.00 in the day (4
July 2011). The values of sky ratio index are smaller than 0.3.
Fig. 2 Variations of exterior daylight illuminance on 4 July 2011
Figure 3(a) shows the variation of the daylight illuminance at the measurement point #1 on the ninth floor of the model.
The illuminance values are within a range of 5,000-7,000 lux. From the plot, the illuminance values are comparatively
high during before- and after-noon. This might be explained by the penetrations of the sunlight to the western area of
the floor in the morning (the sun stays eastern direction) and to the eastern area in the afternoon would increase
extremely the illuminance in the areas which in turn increase the daylight illuminance in the measurement area by the
internal light reflection. It can be observed that at noon, most of the sunlight penetrates directly to the base floor thus
the illuminance is lower at this time.
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Fig. 3 Experimental results on 4 July 2011 (9th
Floor)
During the experiment period (June-August 2011), the sun stayed toward northern direction. The penetration of
sunlight (in a period of day) causes the interior daylight in the southern area of the adjoining space to be relatively
larger than that of the northern. This would also partially the result from the higher luminosity of the sky in circumsolar
region. The plot in Fig. 3(a) also shows the calculated values of the daylight illuminance from BESIM program. The
values from the measurement and the calculation are comparable.
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The results of the illuminance measurements at Point #2, #3, and #4 on the ninth floor of the scale model are exhibited
respectively in Fig. 3 (b), (c), and (d). The daylight illuminances at Point #2 varied between 2,800-3,600 lux, Point #3
between 1,500-2,500 lux and Point #4 between 1,000-1,500 lux. The variations of the illuminance at these points are
similar to that at Point #1. The daylight on the upper floor in atrium can be higher than 1,000 lux throughout the day
(Fig. 3.(d)). It also observes that the illuminance decays exponentially from the light well to the rear walls.
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Fig. 4 Experimental results on 4 July 2011 (2nd
Floor)
Figure 4 exhibits similar plots with Fig. 3 but for 2nd
floor. From the plots, the simulation results quite agree with that
from the experiment. The daylight levels on the second floor are comparatively lower than that on the 9th
floor because
of the lower penetration of daylight from both the sun and the sky.
The daylight illuminance on this floor began with a very low magnitude (close to zero) and then arose to reach its peak
during noon. On the 2nd
floor, the maximum daylight level measured at point 1 is about 3,500 lux. The peak values
decrease when the measurement points were located in deeper area from the light well. It can be observed clearly that
the variation of the daylight on the 9th
floor and the 2nd
floor are totally different.
3. SIMULATION OF DAYLIGHT INATRIUM
This simulation study was performed to assess the daylight illuminance and distribution in the adjoining atrium space.
The simulation results from BESIM were employed next to investigate the influences of the light well configuration, the
depth of the floor space and the reflectance of the interior surface to the daylight illuminance and distribution.
3.1 Daylight Illuminance and Distribution in Atrium Space
A simulation was carried out for a ten-storey square-shape atrium building. The dimension of the building is 40m. wide
by 40m. long by 35m. high (the floor height is 3.5m.). A 10m. x 10m. light well is situated at the center of the building,
running from the roof deck to the base floor. The index of the well is 3.5 that represents a tall atrium building. The
reflectance of the interior surfaces including ceiling, floor and walls are all 0.5. The simulation was performed to
determine the daylight illuminance on a work plane level at points 2m., 4m., 6m., 8m., and 10 m. apart from the light
well edge. The work plane is 0.75m above the room floor. The results also illustrate the illuminances for the 4 areas of
the atrium space (northern, eastern, western and southern areas). It also assumed that each floor has the opening
balcony. Figure 5 illustrates the floor plan of the atrium building and the points the daylight illuminance to be
calculated.
Figure 6 illustrates the plots of monthly average daylight illuminance on the tenth floor of the atrium space. It can be
observed that the daylight illuminance is direction dependency. For the northern area, the average daylight illuminances
are comparable for each month except November and December. The illuminance at 2 m. apart from the well edge is
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about 5,000 lux and decrease exponentially to about 500 lux at 10m. apart from the well edge. However, due to the
penetration of the direct sunlight to the floor, the daylight at 2m. increases sharply to 10,000 lux and 25,000 lux in
November and December, respectively. The similar trends can be observed as well for other direction but less effect
from the sunlight penetration.
Fig. 5 Floor plan of the atrium building and the points the daylight illuminance to be calculated
(a) Northern area of the tenth floor (b) Southern area of the tenth floor
(c) Westhern area of the tenth floor (d) Easthern area of the tenth floor
Fig. 6 Variation of daylight on the tenth floor (interior surface reflectance 0.5)
Figure 7 illustrates the similar plots but for the base floor. The illuminance valves of the daylight are in a range of 200-
800 lux and seems decay linearly from the well edge to the rear walls of the space.
Figure 8 compares the annual average daylight illuminance with surface reflectance. The comparison is made for the
tenth floor. Apparently, the annual average daylight illuminances are quite similar for the northern, eastern and western
areas. That of the southern area is comparatively low. For the year round, the difference of the interior surface
reflectance 0.5 and 0.7 does not cause much difference of the daylight level on the floor. However, the lower surface
reflectance of 0.3 exhibits a distinguish drop of the daylight illuminance. The plots also imply the dominance of direct
component of the daylight transmitting through the light well aperture.
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(a) Northern area of the base floor (b) Southern area of the base floor
(c) Westhern area of the base floor (d) Easthern area of the base floor
Fig.7 Variation of daylight on the base floor (interior surface reflectance 0.5)
(a) Northern area of the tenth floor (b) Southern area of the tenth floor
(c) Westhern area of the tenth floor (d) Easthern area of the tenth floor
Fig. 8 Comparison of the annual average daylight on the tenth floor with different surface reflectance
Figure 9 summarizes the plots of the annual average daylight on the base floor with different well index. In the
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calculation, the values of well index were varied from 0.35 to 3.5. The smaller is the value of well index then the
shallower is the atrium building. The well index 3.5 represents a tall atrium building. The plots present the calculation
results for the interior surface reflectance 0.5.
Examining its value on the base floor, the daylight illuminance is relatively high for the atrium space with small value
of the well index. The distribution of daylight also varies largely from the light well to the back walls of the space. For
the atrium with high value of the well index, the distribution is much more uniform.
(a) Northern area of the base floor (b) Southern area of the base floor
(c) Western area of the base floor (d) Eastern area of the base floor
Fig.9 Comparison of the annual average daylight on the base floor with different light well index
4. CONCLUSIONS
The daylight in atrium building in the tropics was investigated through the experimentation under real skies and the
simulation using the BESIM software. The comparison between the measurements of the daylight in the scale model
and that from the calculation validated the BESIM is capable of determining the interior daylight in the atrium space
with an acceptable degree of accuracy.
The study results show that light well configuration, space depth from the well, reflectance of the interior surfaces and
position of the apparent sun are the main factors influencing the daylight illuminance and distribution in the atrium
space. Regarding the studied atrium model with the well index 3.5 (tall building), opening balcony and the interior
surface reflectance 0.5, the tropical daylight is sufficient for illumination for circulation area on the base floor of the
atrium space all year round. The annual average of the daylight reaches 1,000 lux at the well edge and 600 lux at 10 m.
departure. As the component of the internally-reflected light is dominant, the daylight distribution is rather uniform for
the base floor (the lower floor as well). The direct sunlight also penetrates to the floor with shorter period of time.
On the top and the upper floors of the atrium, the interior light is influenced largely from the diffuse skylight and the
direct sunlight. It can be observed the pronounced exponential decay of the daylight from the well edge to the deeper
areas. The average daylight illuminance on the southern, eastern and western areas of the adjoining space can be high
upto 6,000-8,000 lux at the well edge but that at 10m. apart is about 500 lux. The monthly average daylight for the
northern area of the space close to the well is quite high upto 25,000 lux due to the direct sunlight. For Thailand, the
sun transverses toward south for 8 months in a year. The internal shade seems to be required to shade direct sunlight
from the space and to improve the light distribution. The shade would help deliver more light into the lower floors as
well.
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