38 research outputs found

    Design and energy performance analysis of a hotel building in a hot and dry climate: a case study

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    In times of unprecedented climate change and energy scarcity, the design and delivery of energy-efficient and sustainable buildings are of utmost importance. This study aimed to design a hotel building for hot and dry climate conditions and perform its energy performance analysis using energy simulation tools. The model of the hotel building was constructed by a graphical tool OpenStudio and EnergyPlus following the ASHRAE Standard 90.1. To reduce the energy demand of the hotel, parametric analysis was conducted and building envelope parameters such as the thickness of insulation layer in the exterior wall and the roof, thermal conductivity of insulation layer, rate of infiltration, U-factor of windows, and thermal resistance of air gap in the interior walls (R-value), window-to-wall ratio, and orientation of the building were tested and the impact on the energy use of the building was analyzed. It was found that most of the design assumptions based on the ASHRAE standard were already optimal for the considered locality, however, were still optimized further to reach the highest efficiency level. Apart from this, three sustainable technologies—thermochromic windows, phase change materials, and solar panels—were incorporated into the building and their energy consumption reduction potential was estimated by energy simulations. Cumulatively, these sustainable technologies were able to reduce the total energy use from 2417 GJ to 1593 GJ (i.e., by 824 GJ or 34%). Calculation of payback period and return on investments showed that thermochromic windows and solar panels have relatively short payback periods and high return on investments, whereas PCM was found to be economically nonviable. The findings of this study are deemed to be useful for designing a sustainable and energy-efficient hotel building in a sub-tropical climate. However, the overall design and energy performance analysis algorithm could be used for various buildings with varying climate conditions

    Contributions of safety critical success factors and safety program elements to overall project success

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    Implementing a safety program is an essential step toward improving safety performance. This research aims to develop an overall project success (OPS) model for building projects through investigating the direct and indirect impact of safety critical success factors (CSFs) on OPS mediated by safety program elements. First, interviews were carried out with experts in the Iraqi construction industry, and then a questionnaire survey was utilized to obtain feedback from construction professionals. The results revealed that 20 elements are needed to confirm and improve effectiveness. These elements were categorized into four constructs: management commitment and employee involvement, worksite analysis, hazard and prevention control, and health and safety training. The analysis confirms that the relationship between safety CSFs and OPS are mediated by safety program elements. These findings offer a glimmer of hope for implementing safety programs in the Iraqi construction sector, and can also be used to enhance safety performance

    Assessment of green practices in residential buildings: a survey-based empirical study of residents in Kazakhstan

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    In the lead-up to the Paris climate change conference, the majority of the UN Member States submitted their Intended Nationally Determined Contributions on carbon emissions reduction to be met by 2030. Kazakhstan is no exception. The government made pledges and, therefore, has to adapt its national policies and regulations to meet the set ambitious goals. In this regard, the role of residential building sector is of the utmost importance due to its significant share in the country’s energy consumption and carbon emissions profile. Thus, this study presents the types of residential buildings available and assesses how far they are from meeting the green building (GB) indicators set in various certification schemes and standards. This would help in suggesting practical steps to improve the sustainability levels of the residential building stock of Kazakhstan. This study collected a robust set of data on existing residential buildings in Astana, chosen as a case study location, classified them and, based on a developed checklist, evaluated their performance compared to GB standards. The study has found that old buildings tend to have a rather poor level of sustainability, whereas the sustainability of new buildings depends on the class of the building—steadily increasing from economy to premium class in all categories of the checklist. A detailed analysis of the results has led to the development of recommendations on how each type of building should be improved to meet the GB standards

    Sustainable Supplier Selection in Construction Industry through Hybrid Fuzzy-Based Approaches

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    Due to increase in the public and stakeholders’ awareness regarding economic, environmental, and social issues, the construction industry tends to follow the sustainability policies and practices in supply chain management. Hence, one of the most crucial aspects for a construction company in this regard is sustainable supplier selection, and, to this end, an accurate and reliable model is required. In this paper a hybrid fuzzy best-worst method and fuzzy inference system model is developed for sustainable supplier selection. In the first phase of this study, after determining 19 criteria in three main aspects, the final weight of each aspect and criterion is obtained using fuzzy best-worst method approach. In the second phase, the most sustainable supplier is selected by running the weighted fuzzy inference system both in aspect and criterion level, providing more accurate results compared to the use of other available models. Finally, two different tests are employed to validate the results and evaluate the robustness of the proposed model. The novel developed model enables the decision-maker to simulate the decision-making process, reduce the calculations loads, consider a large number of criteria in decision making, and resolve the inherited uncertainties in experts’ responses

    On-site construction productivity in Malaysian infrastructure projects

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    Purpose: The purpose of this paper is to examine the factors constraining the on-site construction productivity and measures for its improvement in Malaysian construction industry. Design/methodology/approach: Questionnaire survey is administered to 171 respondents, comprising government authorities and construction players. A total of 39 constraints are found to be significant factors in various risk levels. Findings: Consequently, improvement measures are recommended addressing those constraints to on-site construction productivity. It is believed that the findings of this study will assist in achieving high level of on-site construction productivity by focusing and acting upon the most risky constraints, where construction players in Malaysia could be guided well in their efforts in a time-, cost- and quality-effective manner. Originality/value: It is believed that the findings of this study will assist in achieving high level of on-site construction productivity by focusing and acting upon the most risky constraints, where construction players in Malaysia could be guided well in their efforts in a time-, cost- and quality-effective manner

    The build-operate-transfer model as an infrastructure privatisation strategy for Turkmenistan

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    Turkmenistan is in the process of privatising the state-owned enterprises that help to provide infrastructure for economic development. Build-operate-transfer (BOT) has become a popular mechanism in developing countries for infrastructural privatisation. A Strengths-Weaknesses-Opportunities-Threats (SWOT) analysis is provided whilst the factors for successful BOT implementation are discussed. To evaluate BOT application in Turkmenistan, a descriptive survey of stakeholders is conducted and the results are used to identify and rank the most significant factors affecting BOT implementation. Recommendations to address future challenges faced by both the private and public sectors are provided
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