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Article
Engineering, Multidisciplinary
Dlzar Al Kez et al.
Summary: This article examines the challenges and solutions brought by the transition from synchronous generators to nearly 100% inverter-based resources in the power system. By conducting dynamic analysis and simulations, the impact of different battery energy storage layouts on frequency metrics is studied using the case of Ireland's projected 90% inverter-based generation in 2030. The empirical findings provide insights into the optimal placement of grid-scale fast storage technologies for maintaining power system security in high renewable energy scenarios.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Review
Computer Science, Information Systems
Ryad Benadjila et al.
Summary: This paper studies secure disk storage, compares the security features of full disk encryption solutions, presents threat models for authenticated disk encryption, and analyzes techniques usable in these settings. Additionally, it explores the use of incremental cryptography in secure disk storage.
COMPUTER SCIENCE REVIEW
(2022)
Review
Computer Science, Information Systems
Vetle Ryen et al.
Summary: Knowledge graphs have been a popular topic in the past decade, with Semantic Web, linked data, and ontologies playing crucial roles in data integration and analysis. Creating knowledge graphs from structured and semi-structured data sources using Semantic Web technologies can provide well-defined meaning to information and services, but also come with challenges and limitations.
Article
Environmental Sciences
Qingyu Zhang et al.
Summary: This study establishes a model for evaluating the sustainability of big data centers, identifying five key factors and areas for further development. It provides guidance for managers to build more sustainable big data centers by balancing tasks, utilizing renewable energy, and waste heat. The study is the first to assess big data center sustainability using multiple criteria decision-making methods and fuzzy theory, offering a systematic evaluation framework based on qualitative and quantitative criteria.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Dlzar Al Kez et al.
Summary: This study proposes a framework for cooperative participation of data centers to provide fast frequency response services. By using a model predictive controller to generate reference signals for data center resources, the lost services can be compensated. Through dynamic simulations, it is demonstrated that different data center configurations have the potential to stabilize grid frequency during signal delays and failures.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Engineering, Environmental
Alex de Vries et al.
Summary: The increasing energy consumption of Bitcoin has sparked a heated debate about its sustainability, with most studies overlooking the growing issue of e-waste generated by Bitcoin mining. The environmental threat posed by e-waste, from toxic chemicals to air and water pollution, is a growing concern that needs to be addressed.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Environmental Sciences
Md Abu Bakar Siddik et al.
Summary: Data centers play a significant role in global data storage, but they also have a substantial environmental impact in terms of energy consumption and water usage. By strategically locating data centers around the country, we can minimize environmental footprints, reducing carbon emissions and water consumption.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Editorial Material
Engineering, Environmental
Renee Obringer et al.
RESOURCES CONSERVATION AND RECYCLING
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Article
Computer Science, Information Systems
Gregory Gimpel et al.
Summary: While companies are aware of the benefits of IoT data, high deployment costs have prevented many from pursuing initiatives. However, companies can leverage low-cost strategies to access and exploit the gold mine of dark data created by operational technology and transactional systems.
Article
Energy & Fuels
Martijn Koot et al.
Summary: This study presents a forecasting model for data center electricity needs based on understanding usage growth, concluding that efficiency gains from technological innovation cannot fully compensate for this growth. Simulations for the end of Moore's law and the growth of Industrial IoT were run, showing significant increases in electricity consumption. Sensitivity analysis revealed the vulnerability of data center electricity consumption to behavioral usage trends, highlighting the need for further research on the impact of usage on energy consumption.
Article
Engineering, Civil
Li Zhu et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2019)
Article
Computer Science, Theory & Methods
Abdulsalam Yassine et al.
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Bora Ristic et al.
RESOURCES CONSERVATION AND RECYCLING
(2019)
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Green & Sustainable Science & Technology
B. Holmatov et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2019)
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Green & Sustainable Science & Technology
Joshua Aslan et al.
JOURNAL OF INDUSTRIAL ECOLOGY
(2018)
Article
Green & Sustainable Science & Technology
Lotfi Belkhir et al.
JOURNAL OF CLEANER PRODUCTION
(2018)
News Item
Multidisciplinary Sciences
Nicola Jones
Article
Green & Sustainable Science & Technology
Jens Malmodin et al.
Article
Business
Uthayasankar Sivarajah et al.
JOURNAL OF BUSINESS RESEARCH
(2017)
Article
Computer Science, Information Systems
Miyuru Dayarathna et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2016)
Article
Computer Science, Information Systems
Ibrahim Abaker Targio Hashem et al.
INFORMATION SYSTEMS
(2015)
