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The fundamental aim of the study is to investigate the implications of labor housing designs in Dubai, with a focus on courtyards and the governing building regulations, on daylight performance as an underlying factor impacting laborers’ indoor environmental quality. Several studies shed light on the subject of labor camps and labor migration in Dubai, but few have focused on the subject from the perspective of the environmental performance of these camps. A model that represents one of the labor camps was built using Rhinoceros 7.0 and Grasshopper software packages. Annual daylighting and glare simulations were carried out using the lighting modeling engine RADIANCE 5.0 in conjunction with the “ClimateStudio”.

The construction sector has emerged as a significant economic development driver, attracting a diverse labor force from a variety of countries to Dubai. As a result, Dubai authorities have implemented several measures to ensure the provision of suitable housing facilities for its labor force. These measures contribute to the reduction of energy costs in labor housing by encouraging the use of renewable energy. While several studies shed light on the subject of labor camps and labor migration in Dubai, few have focused on the subject from the perspective of the environmental performance of these camps.

The study provided statistical evidence that the current regulations governing courtyards in labor housing resulted in significant changes in daylight levels across different floor levels of the labor housing units. It is suggested that both 2:3 and 3:4 Court Width-to-Height ratios would further contribute to a more consistent daylight Illuminance with marginal statistical differences between floor levels (p > 0.05). The 3:4 ratio, on the other hand, offers a consistent distribution across all floor levels in the North and South with negligible variances, although weakly significant differences can be yet expected between the first and fourth floors in the East and West orientations (p < 0.05). The results of Annual Sunlight Exposure (ASE) suggest excessive solar incidence and a high probability of glare, which remains a problem that must be addressed under the governing building regulations.

This study could serve as a framework for analyzing and contrasting the findings of other studies on labor accommodation, notably in the Gulf Cooperation Council (GCC) countries. Such an approach has the potential to enhance living conditions in labor accommodations in Dubai and other areas. It is necessary to meet people' physical and psychological well-being while also addressing sustainability and regulatory compliance.

The purpose of this paper is to determine the approximate window-to-wall ratio (WWR), window width-to-height ratio (WHR) and sill level for a room in Rasht–Gilan province and to present an optimal window in each of the WWR ranges providing the minimum energy consumption by integrating artificial lighting and thermal analyses, whilst maintaining internal comfort conditions using dynamic evaluation.

The process of modelling has four main steps: 1 – defining the building's features and requirements, 2 – validating input weather file data by on-site measurement, 3 – determining input parameters for the lighting and thermal analysis and 4 – clarifying variable parameters and fitness function for the optimization algorithm. Also, the survey study is performed in a daylit office room, in which 30 employees are employed to answer the questions in three different times of a day. In this process, the impact of daylight on their visual comfort is surveyed in 1,350 different illuminance levels which are manually recorded.

The range of useful daylight illuminance (UDI) values is determined as 200–1,000 lux. The optimum range of WWRs in the case study is 15%–25%. Also, due to the appropriate window height, electric lighting could be decreased by 40%.

Thermal and lighting performance in buildings is the relation of facade characteristics to environmental sustainability. Recent studies focussed on optimizing WWR and window characteristics considering thermal comfort and energy analyses. However, architects need freedom for designing façade and making decisions in their first sketches. Thus a guideline for optimum window conditions in each WWR is required. Also, considering occupants' behaviour in practical buildings, the visual comfort investigation is a gap in WWR optimization.

For decades, continuous research work is going on to maximize the power harvested from the sun; however, there is only a limited analysis on exploiting the microwatt output power from indoor lightings. Microelectronic system has power demand in the µW range, and therefore, indoor photovoltaics would be appropriate for micro-energy harvesting appliances. “Energy harvesting is defined as the transfer process by which energy source is acquired from the ambient energy, stored in energy storage element and powered to the target systems”. The theory of energy harvesting is: gathering energy from surroundings and offering technological solutions such as solar energy harvesting, wind energy collection and vibration energy harvesting. “The solar cell or photovoltaic cell (PV), is a device that converts light into electric current using the photoelectric effect”. Factors such as light source, temperature, circuit connection, light intensity, angle and height can manipulate the functions of PV cells. Among these, the most noticeable factor is the light intensity that has a major impact on the operations of solar panels.

This paper aims to design an enhanced prediction model on illuminance or irradiance by an optimized artificial neural network (ANN). The input attributes or the features considered here are temperatures, maxim, TSL, VI, short circuit current, open-circuit voltage, maximum power point (MPP) voltage, MPP current and MPP power, respectively. To enhance the performance of the prediction model, the weights of ANN are optimally tuned by a new self-improved brain storm optimization (SI-BSO) model.

The superiority of the implemented work is compared and proved over the conventional models in terms of error analysis and prediction analysis. Accordingly, the presented approach was analysed and its superiority was proved over other conventional schemes such as ANN, ANN-Levenberg–Marquardt (LM), adaptive-network-based fuzzy inference system (ANFIS) and brainstorm optimization (BSO). In addition, analysis was held with respect to error measures such as mean absolute relative error (MARE), mean square root error (MSRE), mean absolute error and mean absolute percentage error. Moreover, prediction analysis was also performed that revealed the betterment of the presented model. More particularly, the proposed ANN + SI-BSO model has attained minimal error for all measures when compared to the existing schemes. More particularly, on considering the MARE, the adopted model for data set 1 was 23.61%, 48.12%, 79.39% and 90.86% better than ANN, ANN-LM, ANFIS and BSO models, respectively. Similarly, on considering data set 2, the MSRE of the implemented model was 99.87%, 70.69%, 99.57% and 94.74% better than ANN, ANN-LM, ANFIS and BSO models, respectively. Thus, the enhancement of the presented ANN + SI-BSO scheme has been validated effectively.

This work has established an improved illuminance/irradiance prediction model using the optimization concept. Here, the attributes, namely, temperature, maxim, TSL, VI, Isc, Voc, Vmpp, Impp and Pmpp were given as input to ANN, in which the weights were chosen optimally. For the optimal selection of weights, a novel ANN + SI-BSO model was established, which was an improved version of the BSO model.

This paper aims to raise awareness on how a simple action by the occupant can significantly influence building energy efficiency, cost and CO₂ emissions to the environment. Classrooms in schools are the primary energy consumers (45.4%) due to the use of artificial lighting, despite Malaysia's tropical climate being ideal for daylight exploitation. This paper focuses on assessing the workplane daylight distribution quality and quantity in baseline and existing conditions of a typical pre-school classroom in Kuala Lumpur as a model-based exploration strategy towards nearly Zero Energy Buildings.

The adopted method is based on the calculation of average daylight factor (DF), daylight illuminance level (IL) and uniformity ratio (UR) parameters affected by the internal fixed drapes through computational and in situ measurements according to the requirements of the law and respective standards comprising the MS1525:2019, GBI and BREEAM.

The results show how user behaviour can turn a well-daylit area (Net Lettable Area>90%) into a poor-daylit area (NLA<5%) by sacrificing natural daylight. All the parameters' values were significantly decreased from 10% (UR) up to 88% (ADF). Full dependency on artificial lighting has imposed a total of RM18858.90 and CO₂ emissions of 25,362 kg for all pre-schools' classrooms in the country per day.

The paper develops the occupants' awareness on their contribution to climate change and global warming through the information and transparency provided.

The evidence indicates that a simple action by the occupant can significantly influence visual comfort, EE, cost and CO₂ emissions to the environment.

The purpose of this paper is to continue the debate started by M. Pitts and P. Chynoweth in previous issues of Structural Survey and examine some specific areas of concern regarding the methodologies used for calculating loss of daylight in Rights to Light cases.

Eight specific areas of concern are identified and each of these is analysed in turn, first to establish, where possible, the origin of the current methodology and then to test this against available current thinking.

There is a reasonable justification for adopting a value of 500 foot‐candles, although this is not in fact the minimum value. The only justification for using a Uniform Sky appears to be mathematical and another, more accurate, sky model could be used. The Waldram Diagram can legitimately be adjusted to any suitable dimensions provided that the measurements are always taken as a ratio of the chart area. There is no justification for using a work surface height of 850 mm, nor is there any evidence of justification for assuming that 1 foot‐candle of light is adequate for normal use but there is justification in legal terms for ignoring window frames, glazing and internal reflectance.

It can be shown that there is a case for reassessing the methodologies currently accepted by the Courts and therefore that there is scope for further research to establish a new more accurate method.

Whilst many are questioning the validity of daylight calculations in Rights to Light cases, this paper takes some of those questions and establishes whether there is in fact cause for concern.

During the COVID-19 pandemic in 2020–2021 in Indonesia, the indoor environmental quality (IEQ) of local houses occupied by infected occupants was adversely affected. This paper aims to appraise the IEQ of the affected Banda Aceh houses with insights into enabling them to be resilient against the negative impacts of the pandemic.

Quantitative field measurement in the case study of five concrete houses located in urban areas which are affected by IEQ factors: (1) indoor air quality (IAQ), (2) thermal comfort and (3) visual comfort, compared against the Indonesian National standard (SNI). The case study involved measurement of the first two factors over 24 h, while the third factor was measured during sun hours. Considering the limitations of the measuring tools for logging available data in this research, air quality is measured from 8 am to 10 pm.

Thermal comfort in the affected houses is generally regarded as warm, optimal and cool comfort, indicated by the effective temperatures of between 20.5 and 27.1°C. Frequently closed windows, limited land area and access had caused a lack of air circulation, with air velocity of dominantly 0 m/s in the houses. The illuminance of natural light received in three houses was insufficient – less than 120 lux as compared with the other two. This study found an uptrend of higher air temperature and relative humidity in the affected houses resulting in poorer IAQ; conversely, the higher the air velocity in the houses, the fewer the indoor air pollutants such as formaldehyde (HCHO), total volatile organic compounds (TVOC) and carbon dioxide (CO₂₎.

This study is a pioneer in evaluating IEQ in houses occupied by COVID-19 patients in Indonesia, especially in dwelling cases in Aceh Province. It also encompasses environmental and societal challenges to sustaining resilient buildings in pandemic hit regions.

The functions of lighting Lighting is provided in a building to fulfil three basic functions:

The purpose of this paper is to present an electrothermal model of the module containing power light emitting diodes (LEDs) situated on a common base.

The electrothermal model of this device, which takes into account both self-heating and mutual thermal coupling between the diodes situated in this module, is described.

The correctness of the presented model is verified experimentally, and a good agreement of the calculated and measured optical and thermal characteristics of the considered module is obtained.

The presented model can be used for different structures of the LED module, but electrical inertia in the diodes is omitted.

The presented model was used to calculate electrical, thermal and optical waveforms of the module OSPR3XW1 containing three power LED situated on the common base.

The presented model takes into account thermal inertia in the considered LED module and its cooling systems with mutual thermal coupling between all the diodes situated in the same module.

Describes the rapid technical development that took place in the lighting industry in the 1980s, driven by energy cost pressures. Discusses product development, office lighting problems, legislation, changing working needs, new design approaches, HF fluorescent lighting, maintenance, and energy and lighting. Concludes that both economic pressures and users′ demand for better quality lighting are dictating a more professional approach to lighting scheme design.

This paper follows the author's previous paper published in Structural Survey (Vol. 25 No. 2, pp. 98‐116), in which certain accepted methodologies, used in rights to light calculations were challenged. Now, following publication of the doctoral thesis entitled “The validity of daylight calculations in rights to light cases”, the aim is to examine two aspects of the calculation process – the Waldram diagram and the level of daylight that should be considered sufficient for ordinary purposes.

First, the mathematics of the Waldram diagram for rights to light cases are compared with the proposed alternative, which recognises a non‐uniform CIE sky as opposed to the artificial concept of the uniform sky proposed by Waldram. Second, the amount of light sufficient for ordinary use is measured in a controlled environment and compared with previous methodologies.

The proposed diagram more closely replicates the results of real measurements taken in a room, and the amount of daylight that should be considered as being the minimum necessary for ordinary use is likely to be around 2.5 times that currently accepted.

These results demonstrate that advice previously given by experts in court on the sufficiency of daylight to a building is flawed.

While many are questioning the validity of daylight calculations in rights to light cases, this paper establishes the proof that a new approach is required.