scholarly journals Making the internet globally sustainable: Technical and policy options for improved energy management, governance and community acceptance of Nordic datacenters

2022 ◽  
Vol 154 ◽  
pp. 111793
Author(s):  
Benjamin K. Sovacool ◽  
Chukwuka G. Monyei ◽  
Paul Upham
2019 ◽  
Vol 26 (6) ◽  
pp. 87-93 ◽  
Author(s):  
Xiaojie Wang ◽  
Zhaolong Ning ◽  
Xiping Hu ◽  
Lei Wang ◽  
Lei Guo ◽  
...  

2018 ◽  
pp. 240-250
Author(s):  
Michael Tierney

This article describes how the internet has come to play a central role in terrorist financing endeavours. Online channels allow terrorist financiers to network with like-minded individuals, in order to increase support, raise funds, and move wealth across the international system. For instance, the Islamic State, Hezbollah, and other groups have become adept at using these channels to finance their activities. Therefore, increased examination is required of the ways in which terrorists use the internet to raise and move funds. This study assesses some of the current trends and risks associated with online terrorist financing. Some policy options are also outlined, in order to reduce the threat of terrorist financing via the internet moving into the future.


Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4443 ◽  
Author(s):  
Yung-Yao Chen ◽  
Yu-Hsiu Lin

Electrical energy management, or demand-side management (DSM), in a smart grid is very important for electrical energy savings. With the high penetration rate of the Internet of Things (IoT) paradigm in modern society, IoT-oriented electrical energy management systems (EMSs) in DSM are capable of skillfully monitoring the energy consumption of electrical appliances. While many of today’s IoT devices used in EMSs take advantage of cloud analytics, IoT manufacturers and application developers are devoting themselves to novel IoT devices developed at the edge of the Internet. In this study, a smart autonomous time and frequency analysis current sensor-based power meter prototype, a novel IoT end device, in an edge analytics-based artificial intelligence (AI) across IoT (AIoT) architecture launched with cloud analytics is developed. The prototype has assembled hardware and software to be developed over fog-cloud analytics for DSM in a smart grid. Advanced AI well trained offline in cloud analytics is autonomously and automatically deployed onsite on the prototype as edge analytics at the edge of the Internet for online load identification in DSM. In this study, auto-labeling, or online load identification, of electrical appliances monitored by the developed prototype in the launched edge analytics-based AIoT architecture is experimentally demonstrated. As the proof-of-concept demonstration of the prototype shows, the methodology in this study is feasible and workable.


Author(s):  
Cristina Portalés ◽  
Sergio Casas ◽  
Kai Kreuzer

Home automation (HA) systems can be considered as an implementation of the internet of everything (IoE) where many devices are linked by intelligent connections in order to improve the quality of life at home. This chapter is dedicated to analyzing current trends and challenges in HA. Energy management, safer homes, and improved control over the house are some of the benefits of HA. However, privacy, security, social disruption, installation/maintenance issues, economic costs, market fragmentation, and low interoperability represent real problems of these IoE solutions. In this regard, the latest proposals in HA try to answer some of these needs with low-cost DIY solutions, wireless solutions, and IP-based HA systems. This chapter proposes a way to deal with the interoperability problem by means of the open-source platform openHAB. It is based on the concept of a home automation bus, an idea that enables the separation of the physical and the functional view of any device, allowing to create a technology-agnostic environment, which is perfect for addressing the interoperability problem.


2020 ◽  
Vol 24 (5 Part B) ◽  
pp. 3289-3298
Author(s):  
Qian Zhang

To explore the role and influence of thermal energy management system on building heating, by building a thermal energy management system based on the Internet of Things, the situation of heating system and building heating is analyzed, the heat utilization rate of building heating, the stability of heating temperature, the change of heating energy consumption are mainly studied, and the energy consumption of building and the comprehensive effect of thermal energy management system and residents? satisfaction are analyzed. The research results show that through the role of the Internet of Things thermal energy management system, the heat utilization rate of heating buildings has increased from about 65% to about 80%, about 15%. The fluctuation of heating water temperature is reduced from 12?C before the system is adopted to 4 ?C, which improves significantly. The coal consumption per hour of heating system is reduced from 63 kg/h to 50 kg/h, and the coal saving is about 15%. This not only saves resources but also reduces environmental pollution. The heat management system based on the Internet of Things has significantly improved the heating system and building heating. Through the application of thermal energy management system, not only the heat utilization rate is increased, but also the consumption of resources is reduced and the environment is protected. Meanwhile, it solves the problem of building heating and the maximization of efficiency in the operation of heating companies. The research on building heating and thermal energy management system has a positive effect on the follow-up research.


2017 ◽  
Vol 55 (1) ◽  
pp. 84-91 ◽  
Author(s):  
Waleed Ejaz ◽  
Muhammad Naeem ◽  
Adnan Shahid ◽  
Alagan Anpalagan ◽  
Minho Jo

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