Energy Conservation as a Sustainable Strategy for Smart Home Buildings in Amman, Jordan With Improving Indoor Built Environment Features and Key Performance

Awada, Emad; Abed, Amal; Radwan, Eyad; Al-Qaisi, Aws; Al-Rawashdeh, Ayman Y.

doi:10.32479/ijeep.11717

Cited by 2 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The software system of the embedded system is similar to the general computer software system. It is divided into four layers: driver layer, operating system layer, middleware layer, and application layer, each with its own characteristics [17,18]. The specific form is shown in Figure 2.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Energy Conservation Big Data of Embedded Large Public Buildings and Construction of the Information Model by 5G

Zhao

Yan

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

The problem of energy shortage has become one of the most serious problems in the process of economic development. The research is aimed at studying the energy conservation data and information model of large public buildings. Based on the theories of 5G technology, embedded system, and energy conservation of large public buildings, firstly, 5G technology is used to collect research data. Secondly, some large public buildings in Northwest China are analyzed for energy conservation by using ZigBee and other related technologies and algorithms. Finally, the office buildings in large public buildings are used as samples for the construction of the information model to be analyzed. The research results denote that large public buildings are mainly concentrated in hospitals, hotels, shopping malls, and so on. The south-facing window to wall ratio is higher than that of the north-facing window to wall ratio, and the east-west-facing window to wall ratio has the lowest probability of appearing. In addition, the thermal conductivity of the roof of most of the large buildings is less than 1.0 W, while the thermal conductivity of the outer wall of the roof is distributed around 2.5 W, and the thermal conductivity of the outer wall is around 0.6 W. Finally, commercial buildings have higher heating and cooling loads than residential buildings. In the construction of the information model for energy conservation of large public buildings, the neural networks (NNs) and clustering analysis algorithm are introduced into the prediction model of energy consumption data, and it is found that compared with the actual observed value, the overall trend shows consistency, both of which are periodic fluctuations. However, there are still some errors in some data. Therefore, an analysis of energy conservation data of embedded large public buildings and the construction of information models based on 5G has important guiding significance for the construction industry to improve business performance and market competitiveness.

show abstract

Section: Methodsmentioning

confidence: 99%

Analysis of Energy Conservation Big Data of Embedded Large Public Buildings and Construction of the Information Model by 5G

Zhao

Yan

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…The few studies that have been found have dealt with household energy conservation from other angles. For example, improving the energy efficiency of residential buildings (Abu Qadourah et al ., 2022; Bataineh and Alrabee, 2018; Awada et al ., 2021). Or in terms evaluate the reduction in energy use in the residential sector resulting from applying energy efficiency measures (Al-Hinti and Al-Sallami, 2017; Jarada and Ashhaba, 2016).…”

Section: Introductionmentioning

confidence: 99%

Electricity energy-saving behavior of households in Jordan: a qualitative study

Alwedyan

2024

MEQ

View full text Add to dashboard Cite

PurposeGiven the rapid increase in energy consumption in the residential sector in Jordan recently, the question of how to promote energy-saving behavior in Jordanian households is an emerging topic that is receiving increasing attention from scholars and academics. Generally, there is an unresolved paradox in the literature concerning electricity-saving behaviors. On one hand, numerous studies highlight energy-saving behaviors. On the other hand, recent research indicates the presence of significant untapped potential in electricity-saving behaviors. Therefore, it is useful to revisit the construct of these behaviors qualitatively to expand understanding. The study aimed to provide a better understanding of electricity energy-saving behaviors in terms of its motivations, barriers and support mechanisms from household heads' or household members' perspectivesDesign/methodology/approachQualitative study in a sample of households in north Jordan was conducted in the Irbid province using grounded theory methodology. The analysis of qualitative data involved coding, followed by the integration of codes into more comprehensive categories and themes and interpreting the findings.FindingsThe results identify the motivations for households to save energy, the main barriers to indulging in electricity energy-saving behaviors, and the main support mechanisms and perceived support of electricity energy-saving behaviorsPractical implicationsThe findings bear significant implications for targeted interventions in the study area, improving motivations and addressing local barriers and can inform future policy issues by tailoring initiatives to the specific context.Originality/valueThis study is distinguished by being the first study that specializes in electricity energy-saving behavior of households in Jordan, using new methodology and techniques (qualitative survey).

show abstract

Energy Conservation as a Sustainable Strategy for Smart Home Buildings in Amman, Jordan With Improving Indoor Built Environment Features and Key Performance

Cited by 2 publications

References 13 publications

Analysis of Energy Conservation Big Data of Embedded Large Public Buildings and Construction of the Information Model by 5G

Analysis of Energy Conservation Big Data of Embedded Large Public Buildings and Construction of the Information Model by 5G

Electricity energy-saving behavior of households in Jordan: a qualitative study

Contact Info

Product

Resources

About