Find out which smart home devices boost energy efficiency and how smart homes save electricity in our guide to smart energy-efficient homes.
A new technology called smart energy management makes use of IoT concepts to enhance energy efficiency and lower waste in structures. The goal of this study is to comprehend how household energy management knowledge affects energy usage, user behavior, related expenses, and environmental effect. Through a survey of 100 valid replies in Palestine, t... See full list on nature.com The sudden rise in industrial, economic and population growth worldwide has led to a serious escalation in energy consumption, which has led to the need to increase energy generation efforts to counter this increase. Unfortunately, this increase in power generation carries the double burden of prohibitive costs and negative effects on air quality. Moreover, it opens the door to potential environmental and political challenges associated with resource depletion, global warming, and acid rain. Addressing these challenges necessitates a more rational and efficient management of energy consumption through contemporary methods that optimize energy utilization and mitigate wastage. The contemporary landscape is marked by the ascendancy of smart techniques and technologies, with the Internet of Things (IoT) being a notable exemplar1. Building upon this2, introduced a thought-provoking methodology, a public opinion survey that delineates the technologies and advantages underpinning IoTs implementation in the factory sector. Our study, focused on the residential West Bank market in Palestine, seeks to extend this understanding, though without the inclusion of smart electric meters, as expounded by2. An exploration of the energy landscape in Palestine reveals a significant contribution of the construction and buildings sector, accounting for approximately 57% of the total energy consumption between 2011 and 2019, dwarfing the industrial sectors share, which stands at a mere 10%3. This context frames our studys purpose, aiming to assess the readiness of the residential buildings sector in the West Bank to embrace smart systems for energy management. Central to this endeavor is research into effective applications for smart energy consumption management within residential buildings, with a focus on reducing energy waste and enhancing energy efficiency. Residents behavior and knowledge of smart management are central to this exploration, and their insights will be obtained through a pool of residents opinions. The study also aims to ascertain the level of awareness among the population regarding these systems, and their ability to reduce environmental damage and compensate for the increasing costs of energy consumption. Contemporary global concern about the wise use of energy is driven by the growing mandate for energy and the escalating environmental impacts of energy consumption. This necessity is most acutely demonstrated in Palestine, where the inhabited sector accounts for a large portion of the country's energy consumption. Thus, the quest to delve into the intelligent management of indoor energy consumption is more urgent than ever. While cost-related aspects have typically dominated discussions about smart energy consumption management, our study seeks to provide a comprehensive understanding that includes knowledge of residents, residential behavior, and environmental implications. The necessity of this study arises from the rapid rise in global industrial, economic and population growth, which has led to a significant increase in energy consumption. This escalation underscores the urgent need for a wiser and more effective approach to managing energy consumption through modern methodologies. The current landscape is characterized by the dominance of smart technologies and techniques, with the Internet of Things (IoT) emerging as a prominent model. Against this background, the study seeks to assess the readiness of the residential building sector in the West Bank to adopt and integrate smart energy management systems, with the aim of reducing energy waste and enhancing overall efficiency by studying residents knowledge of these technologies along with their consumption behavior inside buildings. The focal point of our research lies in understanding key aspects of residents understanding of the intelligent management of energy consumption within buildings, along with their patterns of energy consumption. This endeavor seeks to unravel the complex interplay between these factors, particularly in the unique context of the Palestinian homeland. Furthermore, our research seeks to elucidate the determinants affecting the incorporation of smart energy management protocols into building designs and characterize their effects on energy efficiency and financial dynamics. The outcomes of this study are prepared to provide invaluable insights to policy makers and stakeholders, enabling the formulation of effective strategies to increase energy efficiency and reduce the environmental burden of energy consumption in the residential sector in Palestine. Through this research, a host of discoveries are expected to emerge and, perhaps most importantly, shed light on the relationship between residents' knowledge and behavior within homes, and their implications for costs and the environment. In addition, an exploration of the prevalence of smart systems in regional homes over recent years, along with insights into the technologies prevailing in the Palestinian construction market, will enrich our understanding. See full list on nature.com The concepts of modeling and hypothesis creation or generation are two closely related terms in the field of scientific research. Generally, the term conceptual modeling is about developing a theoretical framework or model to explain a particular phenomenon or group of phenomena, meanwhile, hypothesis generation involves creating testable specific ... See full list on nature.com The research process encompasses formulation, execution, and analysis stages. Formulation involves defining the problem, literature review, setting objectives, formulating hypotheses, and designing the study. Execution selects sampling, data tools, collection, and storage. The analytical phase encompasses data analysis, hypothesis testing, interpretation, and deriving conclusions. The methodology follows three stages, initiating with defining the research problema focus on residents role in sustainable smart energy consumption, including behavior impact. Hypotheses stem from literature review, adopting a mixed research approach. Stage two involves questionnaire design, vetted by experts, targeting 100 valid responses from the West Bank via social media. Collected data underwent analysis using smart-PLS, affirming hypotheses, and generating results, discussion, and recommendations. Figure 2 illustrates the research flow chart in this study. Research methodology. Full size image See full list on nature.com In order to find patterns, correlations, and trends that may be utilized to influence decisions, the data gathered via research will be analyzed and interpreted. Our goal is to assess research results in order to support judgments and decisions. Large volumes of quantitative data must be gathered, arranged, and interpreted during the analysis stage... See full list on nature.com SmartPLS is particularly well-suited for lower sample sizes due to its resilience and capacity to manage assumption violations. For example, in the context of lower sample sizes, SmartPLS can effectively handle situations where traditional statistical methods may not be applicable. It does so by employing a non-parametric bootstrapping technique, which allows for the estimation of standard errors and confidence intervals without relying on the assumption of normality in the data. This is especially beneficial when dealing with smaller sample sizes, as it provides robust estimates and enhances the reliability of the results. Additionally, SmartPLS is adept at managing assumption violations, such as non-normality and non-linearity in the data. It does not require strict adherence to assumptions of multivariate normality, making it more flexible and applicable to real-world data, which often deviates from ideal assumptions. By employing a variance-based structural equation modeling approach, SmartPLS is able to handle complex relationships and non-linearities in the data, providing a more accurate representation of the underlying constructs and their interrelationships. However, it is important to acknowledge that while SmartPLS offers several advantages, there are also considerations and limitations associated with its use. For instance, the interpretation of results in SmartPLS requires careful consideration, as it may not provide as detailed insights into the underlying distributional properties of the data compared to other statistical methods. Additionally, the choice of methodology should align with the specific research objectives and the nature of the data being analyzed. It is essential to recognize that no single method is universally superior, and researchers should carefully weigh the strengths and limitations of SmartPLS in the context of their research goals and data characteristics. In the discussion section, the study delves into the intricate connections among smart energy knowledge, resident behavior, and the outcomes of cost and environmental impact. The research employed PLS-SEM analysis to test five hypotheses, and the results were significant. The study found that knowledge of smart energy consumption management systems influences the adoption of sustainable energy behaviors, leading to reduced costs and a positive impact on the environment. The study also established a connection between good behavior and lowered costs through enhanced energy efficiency, as well as the pivotal role of resident behavior in minimizing environmental damage. These findings were supported by mediation analysis results, which included bootstrap-derived confidence intervals, path coefficient values, and P-values. The study underscores the need for a comprehensive approach encompassing education, feedback mechanisms, and policy interventions to foster sustainable energy practices. This holistic strategy, vital for promoting cost-effectiveness, energy conservation, and environmental sustainability, must be embraced by both decision-makers and the wider populace. The study's results provide invaluable insights to policy makers and stakeholders, enabling the formulation of effective strategies to increase energy efficiency and reduce the environmental burden of energy consumption in the residential sector in Palestine. The research also sheds light on the relationship between residents knowledge and behavior within homes, and their implications for costs and the environment. Additionally, the study emphasizes the importance of integrating cutting-edge technologies like IoT and AI to optimize energy consumption and minimize environmental harm. See full list on nature.com The conclusion section of the document provides a comprehensive overview of the study's findings and their implications. It highlights the complex relationship between knowledge, behavior, costs, and environmental sustainability in smart energy management for residential buildings. The study utilized mediation analysis to demonstrate behavior as a key mediator, connecting knowledge to tangible outcomes. The findings revealed that the dissemination of information can lead to changes in resident behavior, resulting in reduced expenses and a positive impact on the environment. The study acknowledges its limitations, such as context-specificity and reliance on self-reported data, and encourages further research to explore cross-cultural dynamics and objective measures. In terms of future work, the study suggests the need for further research to examine cross-cultural dynamics and objective measures. It also emphasizes the importance of a comprehensive approach involving education, feedback, and effective policies to achieve sustainable results. The study encourages the integration of cutting-edge technologies like IoT and AI to optimize energy consumption and minimize environmental harm. Additionally, the document underscores the practical implications of the research, providing valuable insights for policymakers and stakeholders to formulate effective strategies for increasing energy efficiency and reducing the environmental burden of energy consumption in the residential sector in Palestine. See full list on nature.com The datasets used in this study are available, please track the link for access the data and materials used in this research: https://www.mediafire.com/folder/xyqqfbxl80xzg/Data. See full list on nature.com The residents who took part in the study and provided their insightful opinions are especially appreciated and thanked by the authors for their contributions to the study's successful completion. See full list on nature.com View all This comprehensive review establishes AI as a transformative force in smart building operations, demonstrating quantified benefits that span energy efficiency, operational costs, and occupant satisfaction. These startups develop smart thermostats, solar systems, smart HVAC and lighting, residential energy storage systems and other energy-saving home technologies. This study investigates the integration of artificial neural networks in smart home technology to improve energy usage prediction and efficiency, without compromising the comfort of occupants. Smart building technology, sometimes called intelligent building systems, uses connected sensors, Internet of Things (IoT) devices, and artificial intelligence (AI) to manage heating, cooling, lighting, ventilation, air cleaning, and safety systems. To learn more about home energy assessments and find free tools and calculators, go to Your Home's Energy Use, the Residential Services Network , and the Building Performance Institute . Whole-House Systems Approach
Smart building technology, sometimes called intelligent building systems, uses connected sensors, Internet of Things (IoT) devices, and artificial intelligence (AI) to manage heating, cooling, lighting, ventilation, air cleaning, and safety systems.
Moving forward, it's essential to keep these visual contexts in mind when discussing Smart Home Energy-Saving Technology For Residential Buildings.
To learn more about home energy assessments and find free tools and calculators, go to Your Home's Energy Use, the Residential Services Network , and the Building Performance Institute . Whole-House Systems Approach
