Assessment of skylight design configurations on daylighting performance in shopping malls: A case study

El-Abd, Wessam; Kamel, Basil; Afify, M. T.; Dorra, Medhat

doi:10.1016/j.solener.2018.05.052

Cited by 29 publications

(16 citation statements)

References 27 publications

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“…RNNs have applications in natural language processing, such as language recognition, language modeling, and machine translation. They are also used for various types of time series prediction and combined with convolutional neural networks (CNNs) to process computer vision problems (El-Abd et al, 2018;Xu et al, 2016).…”

Section: Long Short-term Memory Neural Networkmentioning

confidence: 99%

“…Many researchers at home and abroad have continue to focus in the field of building energy saving. The results show the design stage of the emporium should focus on the effect of skylight on energy saving, which can reduce the area of excessive lighting by more than 50% (El-Abd et al, 2018). Analysis and evaluation of the operation of the typical shopping center in Qatar, It is shown that reasonable regulation of cooling areas can bring the total energy savings of buildings to 12.819% (Liu et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Building energy consumption prediction and energy control of large-scale shopping malls based on a noncentralized self-adaptive energy management control system

Bao

Zou

Bai

et al. 2020

Energy Exploration & Exploitation

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Central air conditioning is the main energy-consuming equipment in modern large-scale commercial buildings. Its energy consumption generally accounts for more than 60% of the electricity load of an entire building, and there is a rising trend. Focusing on reducing central air conditioning energy consumption is a first priority to achieve energy savings in modern large-scale commercial buildings. To study the main influencing factors of central air conditioning energy consumption in large shopping malls, in-depth collection and analysis of energy consumption data of Shenzhen Tian-hong shopping mall were considered, and the impact of factors such as the basic composition of central air conditioning, time, and Shenzhen weather on the energy consumption of shopping malls was considered. The most representative Buji Rainbow store of the Rainbow Group is used as the research object. The influencing factors of central air conditioning on its energy consumption are divided into air conditioning pumps, host 1–1, host 1–2, host 2–1, and host 2–2. The power consumption of the freezer and the eight impact indicators of time and weather in Shenzhen were constructed using Pearson correlation coefficients and a long short-term memory neural network method to construct a regression model of the energy consumption prediction of the mall building. The average relative deviation between the predicted energy consumption values and the measured energy consumption values is less than 10%, which indicates that the main influencing factors selected in this paper can better explain the energy consumption of the mall, and the obtained energy consumption prediction model has high accuracy.

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Section: Long Short-term Memory Neural Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Building energy consumption prediction and energy control of large-scale shopping malls based on a noncentralized self-adaptive energy management control system

Bao

Zou

Bai

et al. 2020

Energy Exploration & Exploitation

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“…Wessam el-Abd and others (2018) investigate the design of roof windows in the context of daylight performance. This paper suggests new designs to optimize daylight performance, and it also gives a shopping mall from Cairo as an example [18]. The abovementioned studies show that there is not any consistency in the literature about the factors behind the performances of shopping malls.…”

Section: Introductionmentioning

confidence: 99%

A Study On Shopping Malls Performance Criterias Analysis Using AHP Method

Nebati

Ekmekçi

2020

Politeknik Dergisi

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Bu makaleye şu şekilde atıfta bulunabilirsiniz(To cite to this article): Nebati E. E, ve Ekmekçi İ., "A study on shopping malls performance criterias analysis using AHP method ", Politeknik Dergisi, 23(1): 85-95, (2020).Erişim linki (To link to this article): http://dergipark.gov.tr/politeknik/archive ABSTRACT In recent years, with the increase in the number of shopping centers and consumer expectations, comprehensive research on the performance evaluation of shopping centers has started to be needed. In the performance evaluation process, it is very important to determine the correct measurement criteria. In this study, the performance measurement criteria were determined by reviewing the literature and interviewing experts and managers in the shopping center sector. In the next step, the Analytical Hierarchy Pr ocess (AHP), a multi-criteria decision making (MCDM) method, was used to determine the significance levels of these criteria and a new performance index model was hereby developed. The proposed method consists of a total of 140 criteria including six main criteria (green building, investors, visitors, tenants, shopping mall turnover, and social life) and 134 sub-criteria. As far as we know, this study is the first to propose a model for measuring the performance of shopping malls. ÖZSon yıllarda alışveriş merkezleri sayısındaki artış ve tüketici beklentilerinin yükselmesi ile birlikte alışveriş merkezleri' nin performans değerlendirmesi ile ilgili araştırmalara ihtiyaç duyulmaya başlanmıştır. Performans değerlendirmesi sürecinde doğr u ölçüm kriterlerinin belirlenmesi çok önemlidir. Çalışmada, performans ölçüm kriterleri literatür çalışmaları ve alışveriş merkezi sektöründe uzman ve yöneticilik yapmış kişilerle görüşülerek belirlenmiştir. Bir sonraki adımda, bu kriterlerin önem ağırlıkl arını belirleme sürecinde çok kriterli karar verme (ÇKKV) yöntemi olan Analytic Hierarchy Process (AHP) yöntemi kullanılmış ve yeni bir performans indeks modeli geliştirilmiştir. Önerilen model, yeşil bina, yatırımcı, ziyaretçi, kiracı, avm ciro, sosyal yaşam ana kriterleri altında 134 alt kriter olmak üzere toplamda 140 kriter tanımlanmıştır. Bu çalışma, bildiğimiz kadarıyla alışveriş merkezlerinin performansını ölçmek için bir model öneren ilk çalışmadır.Anahtar Kelimeler: Alışveriş merkezleri, çok kriterli karar verme, analitik hiyerarşi süreci, performans ölçümü.

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“…Acosta et al [9] embraced the positive influence of optimized skylights on attaining high visual comfort and enhancing solar distribution into space. Critically in hot climatic zones where direct sunlight is dominant through the year and visual satisfaction is difficult [10] , [11] , [12] , [13] . Consequently, daylight optimization is adopted for a heritage space through parametric skylight configuration for the skylight glazing technology, Skylight to Floor Ratio (SFR), and internal light control element depth.…”

Section: Introductionmentioning

confidence: 99%