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Journal ArticleDOI

Daylighting estimation and analysis in residential apartment building: GIS based approach

01 Jun 2016-Vol. 37, Iss: 1, pp 012024
TL;DR: In this article, a simplified analytical and GIS-based approach to evaluate the potential of daylight inside the room under clear sky conditions was proposed, and the intensity of internal illumination in residential apartment building from available outside external external illumination was evaluated.
Abstract: The openings in the building envelope have a great influence on daylighting in the internal area of the building spaces. The amount of opening area, its orientation, outside obstruction & positioning of building affects the inside illumination. Most of the energy consumption occurs during the building's operational phase for heating, cooling & lighting purposes. This paper aims to provide a simplified analytical and GIS based approach to evaluate the potential of daylight inside the room under clear sky conditions. The work evaluates the intensity of internal illumination in residential apartment building from available outside external illumination.
Citations
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Journal ArticleDOI
TL;DR: The obtained results demonstrate that the proposed model can be utilized to visually describe the indoor space of real estate in crowd-sourcing environments.
Abstract: Abstract Emerging the power of collective intelligence through crowdsourcing could create a clear path for visualizing real estate as well. One of the Crowdsourcing applications is describing the indoor space of a real estate. This paper aims to describe real estate in the context of spatial crowdsourcing. Qualitative and quantitative criteria were used in this study to describe the real estate space, topological relationships, directional relations, color, location, dimensions, and height as qualitative criteria. Quantitative criteria were selected as the dimensions and height. The proposed model was evaluated by two groups: those who had never seen the real estate and others that had already seen the same real estate. We implemented a website called SAMA1 to evaluate the proposed model with crowdsourcing data using online collaborative tools. SAMA is using tools, such as a sketch plan, photo, text, virtual tour, and visual descriptions. To evaluate SAMA, we compared it with four representative commercial websites, and the impact of the tools was precisely examined. The obtained results demonstrate that the proposed model can be utilized to visually describe the indoor space of real estate in crowd-sourcing environments.

2 citations


Cites background or methods from "Daylighting estimation and analysis..."

  • ...Northern-facing flats receive less light than southern flats, while northwest ones receive more light than northeast ones (Sonawane & Mhaske, 2016)....

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  • ...Since the yellow color reflects more light, it makes space look brighter (Sonawane & Mhaske, 2016)....

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  • ...Sonawane et al. (Sonawane & Mhaske, 2016) used GIS to analyze the amount of light in the indoor space of an apartment....

    [...]

Proceedings ArticleDOI
21 Jan 2022
TL;DR: In this article , a mathematical model of three key aspects of occupant’s comfort, which are thermal, air quality and visual comfort, has been developed and analyzed in MATLAB.
Abstract: In households, maintaining the occupant’s comfort within a comfortable range is very important. In this paper, the mathematical model of three key aspects of occupant’s comfort, which are thermal, air quality and visual comfort, has been developed and analysed in MATLAB. Also, the proposed model has been analyzed for five different cities’ weather conditions in India: Jaipur, Delhi, Mumbai, Kolkata, and Chennai. The presented model is applied to a room in a single-storey standalone residential building. Further, the Particle Swarm Optimization (PSO) algorithm is applied to maximise the occupant’s comfort. To maximise the overall comfort, the proposed model has been implemented in two cases, i.e. equal priority and variable priority for three individual comforts. The results for a typical household show that optimisation can achieve the desired comfort.

2 citations

16 Jul 2012
TL;DR: In this article, the authors presented a simplified procedure for computing the effects of day-light from clear sky (DFL) from clear-sky images, which was presented at the annual Illuminating Engineering Society Technical Conference (EEB).
Abstract: LBL-9048 EEB-W-79-08 I To be presented at the Annual Illuminating Engineering Society Technical Conference, Atlantic City, NJ, September 16-20, 1979 A SIMPLIFIED PROCEDURE FOR CALCULATING THE EFFECTS OF DAYLIGHT FROM CLEAR SKIES Harvey J. Bryan September 1979 TWO-WEEK LOAN COPY his is a Library irculating Copy which may be borrowed for two weeks. For a personal retention copy, call Tech. Info. Diu ion, Ext 6782 pared for the U. S. Department of Energy under Contract W-7405-ENG-48

1 citations

Proceedings ArticleDOI
14 Dec 2022
TL;DR: In this paper , a multi-objective paradigm is proposed to achieve thermal comfort in residential houses using Particle Swarm Optimization (PSO) to optimise the overall system.
Abstract: Recent years have seen an increase in the popularity of smart and energy-efficient homes. The main issue in developing a control system for such a structure is to reduce energy usage without sacrificing customer satisfaction. This article has proposed a multi-objective paradigm to achieve this goal. Visual, air quality, and thermal comfort are considered. Particle swarm optimization (PSO) is utilised to optimise the overall system. It is still difficult to ensure that all occupants are satisfied with their thermal comfort because of how various people's body temperatures are established. In this paper, a data-driven approach is proposed to predict user thermal comfort in residential houses. The interior comfort temperature of each individual occupant has been predicted using an artificial neural network (ANN) prediction model, which may be utilised as the comfort temperature reference for heating, ventilation, and air conditioning (HVAC) management systems. The proposed model has been compared with single objective comfort maximisation with variable thermal comfort set points for individual occupants and a constant set point for all occupants, and the proposed model has shown its efficacy.
Proceedings ArticleDOI
19 May 2023
TL;DR: In this paper , the authors analyzed the deployment of sharing economy-based cloud energy storage (CES) infrastructure operation in seven residential smart homes community and evaluated the operational cost of the community in scenarios with and without home energy management systems.
Abstract: Consumption of green energy in residential communities is increasing compared to conventional supply. However, the variability in generation due to different weather parameters is a significant challenge to their growth rate. Energy storage has the potential to address this issue, and sharing economy-based cloud energy storage (CES) has gained popularity as a way to reduce energy consumption costs and increase revenue. This study analyzes the deployment of CES infrastructure operation in seven residential smart homes community. All seven homes utilized CES services based on their daily net load demand. In the first phase, the PSO algorithm optimized the load trajectory, taking into account all smart home parameters and physical components. Subsequently, the operational cost of CES in the community is evaluated in scenarios with and without home energy management systems. Simulation results indicated that the energy consumption cost of the residential community from the grid is zero, and revenue is 43.59% higher when home energy management systems are employed. The modeled home parameters significantly affected total community energy costs.
References
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Journal ArticleDOI
TL;DR: Determinations of the exterior and interior daylight and lighting energy savings are key issues to demonstrate the benefits based on daylighting designs and evaluations and a review of daylight illuminance determinations and the lighting energy reductions due to daylighting schemes is provided.

156 citations

Journal ArticleDOI
TL;DR: In this paper, the daylighting performance and energy use for residential flats facing large sky obstructions via computer simulations was investigated. But the indoor daylight levels for kitchen and living/dining faced large neighboring building were found always less than the standard maintenance illuminance during daytime period.

102 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors presented a study of daylighting performance in a large space industrial building (Tianjin, China) by both field measurements and numerical simulations, and quantitative analysis of the energy saving potential of artificial lighting controls integrated with daylighting and the effect of reducing artificial lighting on the heating energy consumption were conducted with EnergyPlus simulation program.

68 citations

Journal ArticleDOI
TL;DR: In this paper, the Hourly exterior horizontal and slope daylight availability has been estimated for Indore using daylight modeling techniques based on solar radiation data, and an analytical model that would encompass the weather conditions of Indore was selected.

22 citations

Journal ArticleDOI
TL;DR: In this article, the daylighting performance of a prototype external dynamic shading and daylight-redirecting system was evaluated on a building with an open-plan office, where part of the original facade was replaced with the prototype facade.

18 citations