Browsing by Author "Askari, Hawra Sharif"

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    Evaluating and Optimizing the Indoor Environment Quality of Historical Museums in UAE
    (The British University in Dubai (BUiD), 2016-11) Askari, Hawra Sharif
    With the important role of museums in preserving the history for future generations in different societies, ancient historical artifacts are the main factor differentiating the indoor environments of museums from all other buildings environments. This study identifies the current on going practices of UAE historical museums indoor environments in terms of artifact safety and preservation, intelligence and integration level of the different components, as well as the sustainability levels of the museums. Surveys, on site measurements, as well as software simulations experiments were adopted for methodology, following the SOBANE strategy (Screening, Observation, Analysis and Expertise). These stages were implemented on three case study museums selected from Dubai and Sharjah. Based on the evaluation result, further enhancement methods was proposed and assessed. The proposed solutions were framed within the museum parameters, considering the requirements for collection preservation, human health and comfort, as well as energy efficiency and intelligent components. This paper aimed to involve the museum sector in the current concern of energy saving practices in the country, by adopting sustainable methods and increasing the efficiency of the environments as well as the building life cycle, which is a main concern for the historical areas. This study is hoped to serve as a reference future guide for different museum’s officials in the UAE to benefit from the information provided, and the evaluation results, in order to adopt strategies enhancing the indoor quality and energy performance of different museum projects across UAE. Proposals, when possible were assessed in IESVE simulation software to quantify the energy reduction rates and evaluate the efficiency of implementation and the level of enhancements achieved. Study results included reduction of 89% in light electricity, and overall 27.5% reduction in total electricy. Proposals were modeled and assesst with 99.62% accuracy from existing building.