scholarly journals Indoor Thermal Assessment of Medium-Cost House in Arid Climate

2021 ◽  
Vol 6 (18) ◽  
Author(s):  
Abdulbasit Almhafdy
Keyword(s):  
Residential Buildings ◽  
Publishing House ◽  
Residential Building ◽  
Window Size ◽  
Arid Climate ◽  
Design Stage ◽  
Spatial Design ◽  
Direct Exposure ◽  
Responsive Design ◽  
Medium Cost

An environmental responsive design of building internal spaces is important criteria and should be taken into account in the pre-design stage of the residential buildings. This study aims to analyze the existing spatial spaces of a residential building in terms of thermal performance in a dry desert climate area. Temperature data loggers were utilized in the duplex house. Results indicate that wall exposure, window size, floor level and orientation play are the key to designing a friendly environment of internal spaces. The neighbourhood fabric has an important role in terms of shadows and time of direct exposure to radiation. Keywords: Indoor house, Arid climate, Air temperature, spatial design eISSN: 2398-4287© 2021. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v6i18.3076

Tenants' Satisfaction in High Residential Building

2020 ◽  
Vol 17 (1) ◽  
pp. 41
Author(s):  
UMMU SHOLEHAH MOHD NOR
Keyword(s):  
Urban Areas ◽  
Residential Buildings ◽  
Low Cost ◽  
Residential Building ◽  
Real Estate Market ◽  
The Real Estate ◽  
Level Of Satisfaction ◽  
Considerable Impact ◽  
Residential Living ◽  
Medium Cost

High residential living in Malaysia has not been widely given a significant emphasises in literature despite its increasing scale and significance in the real estate market. The significance of high rise is mainly due the increasing rate of migration from rural to urban. It is estimated a total of 77.2 percent of the Malaysian population lived in urban areas in 2020. Approximately, 30 percent of this urban population lives in strata housing. These percentages are predicted to continue to increase in the future. The emergence of high residential building has been argued as confronting various problems which has considerable impact on this life style. Satisfaction is an important outcome of living in one’s dwelling, although it is not the only consideration. High residential building in Malaysia encountered numerous problems in term of management aspects, legislation aspects, and residents’ satisfaction. The purpose of this paper is to investigate the tenants’ satisfaction living in high residential buildings in Klang Valley. The questionnaires survey is conducted amongst 276 tenants at low cost and medium cost HRB using random sampling in HRB located at areas under jurisdiction Dewan Bandaraya Kuala Lumpur (DBKL), Majlis Bandaraya Subang Jaya (MBSJ), Majlis Bandaraya Shah Alam (MBSA), Majlis Bandaraya Subang Jaya (MBSJ), Majlis Perbandaran Selayang (MPS) and Majlis Perbandaran Ampang Jaya (MPAJ). The result from this study shows that tenant in medium cost residential building are more satisfied in term of facilities and management as compared to tenants in low cost residential building. Tenants also not disclosed to the existing act and procedure related to high residential building. In conclusion, this study suggested the Local Authority to emphasise the role of tenant. These recommendation hopefully will increase the level of satisfaction amongst the residents in HRB.

scholarly journals Study on Multi-Objective Optimization-Based Climate Responsive Design of Residential Building

Algorithms ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 238
Author(s):  
Zhixing Li ◽  
Paolo Vincenzo Genovese ◽  
Yafei Zhao
Keyword(s):  
Energy Demand ◽  
Thermal Environment ◽  
Residential Buildings ◽  
Optimal Solution ◽  
Residential Building ◽  
The Public ◽  
Private Households ◽  
Design Variables ◽  
Global Cost ◽  
Responsive Design

This paper proposes an optimization process based on a parametric platform for building climate responsive design. Taking residential buildings in six typical American cities as examples, it proposes thermal environment comfort (Discomfort Hour, DH), building energy demand (BED) and building global cost (GC) as the objective functions for optimization. The design variables concern building orientation, envelope components, and window types, etc. The optimal solution is provided from two different perspectives of the public sector (energy saving optimal) and private households (cost-optimal) respectively. By comparing the optimization results with the performance indicators of the reference buildings in various cities, the outcome can give the precious indications to rebuild the U.S. residential buildings with a view to energy-efficiency and cost optimality depending on the location.

scholarly journals Implementation of MCA Method for Identification of Factors for Conceptual Cost Estimation of Residential Buildings

2013 ◽  
Vol 8 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Michał Juszczyk ◽  
Agnieszka Leśniak ◽  
Krzysztof Zima
Keyword(s):  
Comparative Analysis ◽  
Cost Estimation ◽  
Construction Projects ◽  
Residential Buildings ◽  
Residential Building ◽  
Design Stage ◽  
Problem Solution ◽  
Key Factors ◽  
Early Design Stage ◽  
Select Group

Abstract Conceptual cost estimation is important for construction projects. Either underestimation or overestimation of building raising cost may lead to failure of a project. In the paper authors present application of a multicriteria comparative analysis (MCA) in order to select factors influencing residential building raising cost. The aim of the analysis is to indicate key factors useful in conceptual cost estimation in the early design stage. Key factors are being investigated on basis of the elementary information about the function, form and structure of the building, and primary assumptions of technological and organizational solutions applied in construction process. The mentioned factors are considered as variables of the model which aim is to make possible conceptual cost estimation fast and with satisfying accuracy. The whole analysis included three steps: preliminary research, choice of a set of potential variables and reduction of this set to select the final set of variables. Multicriteria comparative analysis is applied in problem solution. Performed analysis allowed to select group of factors, defined well enough at the conceptual stage of the design process, to be used as a describing variables of the model.

scholarly journals The Performance of Daylight through Various Windows for Residential Buildings

2018 ◽  
Vol 3 (6) ◽  
pp. 169-178 ◽  
Author(s):  
Sharifah Nor Fairuz Syed Husin ◽  
Zarina Yasmin Hanur Harith
Keyword(s):  
Residential Buildings ◽  
Publishing House ◽  
Residential Building ◽  
Illumination Level ◽  
Artificial Lighting ◽  
Major Significance ◽  
International Publishing ◽  
The Right ◽  
Open Access Article

A good daylighting strategy is necessary in order to decrease energy consumption for artificial lighting. To provide effective internal illumination, the placing of the right openings in the right positions with suitable type of window and glazing is important. This study focused on the various types and materials of the glass and window, in order to identify the quantity and quality of daylight that penetrates into the residential buildings. Based on a series of measurement, it was identified that type of glazing and window gives major significance on the performance of daylight and thermal performance in residential buildings. Keywords windows; illumination level; residential building; occupant’s perception. eISSN 2514-751X © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.

scholarly journals Designing Residential Buildings for Older People in China to Promote Ageing-in-place

2018 ◽  
Vol 3 (13) ◽  
pp. 18-28
Author(s):  
Tulika Gadakari ◽  
Jingjing Wang ◽  
Karim Hadjri
Keyword(s):  
Older People ◽  
Residential Buildings ◽  
Publishing House ◽  
Residential Building ◽  
Ageing Population ◽  
Design Standards ◽  
Ageing In Place ◽  
Residential Design ◽  
Ageing Model ◽  
International Publishing

Ageing-in-place is the most common ageing model in China. Therefore, design of age-friendly residential buildings and neighbourhoods becomes an important factor leading to improvement in older people’s health and quality of life. This paper presents the current situation of the ageing population in Chinese cities by qualitatively analysing existing literature, design standards and conducting stakeholder interviews to understand older people’s housing choices and aims to identify physical design factors, challenges and potentials of residential design for older people. The findings will fill the knowledge gap of age-friendly residential models in China and guide better design to meet older people’s needs.Keywords: ageing; age-friendly design; residential building; spatial design.eISSN 2398-4279 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ajqol.v3i13.158 

Low Energy Residential Building Design for Hot Arid Climate: A Green Approach

2013 ◽  
Vol 689 ◽  
pp. 114-118
Author(s):  
Tejwant Singh Brar ◽  
M. Arif Kamal
Keyword(s):  
Energy Use ◽  
Residential Buildings ◽  
Residential Building ◽  
Building Design ◽  
High Energy ◽  
Low Energy ◽  
Arid Climate ◽  
Daily Maximum ◽  
Western India ◽  
Hot Arid Climate

Large part of North–Western India has Hot Arid climate which is characterised by hot summers, humid monsoon, and extremely cold winters, and also there is a difference in daily maximum and mean temperatures of as much as 15 to 20°C and this results in high energy demand to achieve comfort conditions. Green buildings often claim that the reduced energy use during operation of the low energy. This paper gives categorical analysis of the technologies available for Low energy and green architecture and emphasizes the need to integrate both in residential buildings to lower the energy use in operation during the lifetime in a residential building in hot arid climate.

scholarly journals Solar and Green Building Guidelines for Hot Arid Climate in India

2014 ◽  
Vol 61 (1) ◽  
pp. 59-65
Author(s):  
Tejwant Singh Brar ◽  
Navneet Munoth
Keyword(s):  
Energy Use ◽  
Residential Buildings ◽  
Residential Building ◽  
Green Building ◽  
Green Buildings ◽  
Low Energy ◽  
Embodied Energy ◽  
Arid Climate ◽  
Categorical Analysis ◽  
Hot Arid Climate

Abstract There are, presently, two schools of thought when it comes to designing buildings that promote sustainable development. One school emphasizes materials use and ‘‘green’’ buildings, while the other emphasizes energy use and energy efficient buildings. The promoters of ‘‘green’’ buildings often claim that the reduced energy use during operation of the low energy and solar buildings is counteracted by the increased embodied energy in these buildings. This paper gives categorical analysis of the technologies available for Low energy and green architecture and emphasizes the need to integrate both in residential buildings to of lower the energy use in operation during the lifetime in a residential building in hot arid climate. The results also show that there should be little difference between the approaches of the two schools of thought. The best buildings will generally be those that are both low energy, and ‘‘green’’. This paper also gives policy guidelines to integrate them in the building bye-laws for hot arid climate

The Impact of High-Rise Residential Building Design Parameters on the Thermal and Energy Performance: A Literature Review

2019 ◽  
Vol 4 (11) ◽  
pp. 81
Author(s):  
Lobna Elgheriani ◽  
Brian Cody
Keyword(s):  
Thermal Performance ◽  
Residential Buildings ◽  
Publishing House ◽  
Residential Building ◽  
Building Design ◽  
Energy Performance ◽  
Design Parameters ◽  
Future Research ◽  
High Rise ◽  
The Impact

Nowadays, high-rise buildings are developing very fast to cater to the increase in demand in major urban cities. This phenomenon has contributed to several environmental problems in both construction and operation. High-rise buildings design parameters seem to lack contextual environmental consideration. Evaluating the impact of such design parameters is a practical approach to enhance the overall energy and thermal performance. Existing research gaps are distinguished based on this review. Future research directions are also proposed through a methodological scheme to investigate comparatively, the effects of different geometric factors on both thermal and energy performance, specifically in the high-rise residential buildings with consideration to different climatic regions. Keywords: Energy Performance; Thermal Performance; High-rise Buildings; High-rise Residential BuildingseISSN: 2398-4287 © 2019. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.DOI: https://doi.org/10.21834/e-bpj.v4i11.1717

scholarly journals Optimal Control Strategies for Switchable Transparent Insulation Systems Applied to Smart Windows for US Residential Buildings

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2917
Author(s):  
Mohammad Dabbagh ◽  
Moncef Krarti
Keyword(s):  
Energy Use ◽  
Control Strategies ◽  
Residential Buildings ◽  
Residential Building ◽  
Optimization Approach ◽  
Optimal Controls ◽  
Peak Demand ◽  
Smart Windows ◽  
Insulation Systems ◽  
Rule Set

This paper evaluates the potential energy use and peak demand savings associated with optimal controls of switchable transparent insulation systems (STIS) applied to smart windows for US residential buildings. The optimal controls are developed based on Genetic Algorithm (GA) to identify the automatic settings of the dynamic shades. First, switchable insulation systems and their operation mechanisms are briefly described when combined with smart windows. Then, the GA-based optimization approach is outlined to operate switchable insulation systems applied to windows for a prototypical US residential building. The optimized controls are implemented to reduce heating and cooling energy end-uses for a house located four US locations, during three representative days of swing, summer, and winter seasons. The performance of optimal controller is compared to that obtained using simplified rule-based control sets to operate the dynamic insulation systems. The analysis results indicate that optimized controls of STISs can save up to 81.8% in daily thermal loads compared to the simplified rule-set especially when dwellings are located in hot climates such as that of Phoenix, AZ. Moreover, optimally controlled STISs can reduce electrical peak demand by up to 49.8% compared to the simplified rule-set, indicating significant energy efficiency and demand response potentials of the SIS technology when applied to US residential buildings.

scholarly journals Ensemble Prediction Approach Based on Learning to Statistical Model for Efficient Building Energy Consumption Management

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 405
Author(s):  
Anam Nawaz Khan ◽  
Naeem Iqbal ◽  
Rashid Ahmad ◽  
Do-Hyeun Kim
Keyword(s):  
Energy Consumption ◽  
Statistical Model ◽  
Residential Buildings ◽  
Residential Building ◽  
Experimental Results ◽  
Consumption Patterns ◽  
Ensemble Prediction ◽  
Short Term ◽  
Term Energy ◽  
Prediction Approach

With the development of modern power systems (smart grid), energy consumption prediction becomes an essential aspect of resource planning and operations. In the last few decades, industrial and commercial buildings have thoroughly been investigated for consumption patterns. However, due to the unavailability of data, the residential buildings could not get much attention. During the last few years, many solutions have been devised for predicting electric consumption; however, it remains a challenging task due to the dynamic nature of residential consumption patterns. Therefore, a more robust solution is required to improve the model performance and achieve a better prediction accuracy. This paper presents an ensemble approach based on learning to a statistical model to predict the short-term energy consumption of a multifamily residential building. Our proposed approach utilizes Long Short-Term Memory (LSTM) and Kalman Filter (KF) to build an ensemble prediction model to predict short term energy demands of multifamily residential buildings. The proposed approach uses real energy data acquired from the multifamily residential building, South Korea. Different statistical measures are used, such as mean absolute error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE), and R2 score, to evaluate the performance of the proposed approach and compare it with existing models. The experimental results reveal that the proposed approach predicts accurately and outperforms the existing models. Furthermore, a comparative analysis is performed to evaluate and compare the proposed model with conventional machine learning models. The experimental results show the effectiveness and significance of the proposed approach compared to existing energy prediction models. The proposed approach will support energy management to effectively plan and manage the energy supply and demands of multifamily residential buildings.

Sign in / Sign up

Export Citation Format

Share Document