Modelling the impact of social network on energy savings

A personal health record is an eHealth technology in which users can observe their progress over time for a given condition. A research gap was identified in the literature concerning the study of the amount of energy that these systems need for their operation, and the energy efficiency that may be attained depending on their design. After the selection of five representative personal health records, a total of 20 tasks commonly done, and based on previous work, were performed with regard to two proposed scenarios, namely patient use and health personnel usage. The power consumption of the main components of a host machine was measured during the performance of the proposed duties. To that end, a hardware tool called the Energy Efficiency Tester was employed. The data collected were analyzed statistically, and significant differences were found in the respective consumption of the display (χ 2 (4) = 23.782, p = 0.000), the processor (χ 2 (4) = 29.018, p = 0.000) and the whole PC (χ 2 (4) = 28.582, p = 0.000). For all of these components, NoMoreClipBoard was the personal health record that required the least energy (57.699 W for the display, 3.162 W for the processor and 181.113 W for the whole PC). A total of two strong correlations were found in the energy consumption between the hard disk and the graphics card (r = 0.791, p < 0.001), and the processor and the PC (r = 0.950, p < 0.001). Some features generated special amounts of power consumption, such as the news wall found on PatientsLikeMe, or the use of load icons that had an impact on most PC components. In addition, an in-depth analysis of the user interfaces was performed. A discussion was carried out on the design of the user interfaces, also taking into account recommendations drawn from the literature, checking for their implementation in the personal health records selected. With the aim of promoting sustainability among software developers, a best practice guideline on sustainable software design was proposed. Basic sustainability recommendations were collected for professionals to consider when developing a software system in general, and a personal health record in particular.

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“…These kinds of features impose power requirements that must be taken into account when developing a portal ( Du et al., 2016 ). Fig.…”

Section: Discussionmentioning

confidence: 99%

Energy efficiency in software: A case study on sustainability in personal health records

García‐Berná

Fernández-Alemán

Gea

et al. 2021

Journal of Cleaner Production

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“…It has also been observed that household consumers follow social influences depending on the influencer [62]. In some cases, the strength of relations between individuals is more important than the number of connections in influencing individuals' choices [63].…”

Section: Model Overviewmentioning

confidence: 99%

Investigating Preconditions for Sustainable Renewable Energy Product–Service Systems in Retail Electricity Markets

2021

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Energy transitions are complex and involve interrelated changes in the socio-technical dimensions of society. One major barrier to renewable energy transitions is lock-in from the incumbent socio-technical regime. This study evaluates Energy Product–Service Systems (EPSS) as a renewable energy market mechanism. EPSS offer electricity service performance instead of energy products and appliances for household consumers. Through consumers buying the service, the provider company is enabled to choose, manage and control electrical appliances for best-matched service delivery. Given the heterogenous market players and future uncertainties, this study aims to identify the necessary conditions to achieve a sustainable renewable energy market. Simulation-Based Design for EPSS framework is implemented to assess various hypothetical market conditions’ impact on market efficiency in the short term and long term. The results reveal the specific market characteristics that have a higher chance of causing unexpected results. Ultimately, this paper demonstrates the advantage of implementing Simulation-Based Design for EPSS to design retail electricity markets for renewable energy under competing market mechanisms with heterogenous economic agents.

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“…Chorley, Whitaker and Allen [8] for example study location-based social networks; these services allow users to record their presence at a location, using smart-phones. Du, Zhang, Li, Yan, Galloway and Lo [9] study the influence of SNW on energy savings. SNW have been increasing in recent years [6], [10], and the amount of data freely available from social networking is also growing [11], being one of its causes the prevalence of mobile devices [12].…”

Section: Amentioning

confidence: 99%

Moderators in the relationship between intention to continue using social networks and its causes

Jan¹,

Contreras²,

Jan³

2019

Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Industry, Innovation

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The aim of this research is to study privacy restrictiveness and site experience as moderators of the relationship between trusting beliefs and usage continuance intention, and between habit and usage continuance intention. The research defines social networks (SNW) and proposes that habit and trusting beliefs affect usage continuance intention in SNW. The research question is "What is the influence of privacy restrictiveness and site experience as moderators of the variables that influence usage continuance intention of social networks?" The survey asks about privacy restrictiveness and site experience to show they moderate the effects of trusting beliefs and habit on SNW usage continuance intention. The research team ran the survey in a university environment, including public and private universities. The study finds that usage continuance intention influences the use of SNW. Variables that affect this intention are trusting beliefs, habit and attitude toward using the SNW. Privacy restrictiveness and site experience moderate the relationship between trusting beliefs and usage continuance intention, and between habit and usage continuance intention. To improve the real use of SNW, universities must work on these variables.

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Modelling the impact of social network on energy savings

Cited by 25 publications

References 27 publications

Energy efficiency in software: A case study on sustainability in personal health records

Energy efficiency in software: A case study on sustainability in personal health records

Investigating Preconditions for Sustainable Renewable Energy Product–Service Systems in Retail Electricity Markets

Moderators in the relationship between intention to continue using social networks and its causes

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