Specifics of Data Mining Facilities as Energy Consumers

被引:0
|
作者
Kosharnaya, Yulia [1 ]
Yanchenko, Sergey [1 ]
Kulikov, Alexey [1 ]
机构
[1] Moscow Power Engn Inst, Dept Elect Supply Ind Enterprises & Elect Technol, Moscow, Russia
来源
2018 12TH INTERNATIONAL IEEE SCIENTIFIC AND TECHNICAL CONFERENCE ON DYNAMICS OF SYSTEMS, MECHANISMS AND MACHINES (DYNAMICS) | 2018年
关键词
data mining equipment; energy consumption; data mining power supply; power quality indices;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper the general aspects of energy consumption and environmental effects of cryptocurrency mining technology are considered. For the data mining equipment, the main technical specifications defining its energy efficiency are analyzed. The aggregation of separate units within data mining pools or installation of respective farms were shown to have the most prominent energy saving effect. Eventually some design and operation issues related to power supply of data mining pools are outlined. The sufficient amount of standards prescribing the power supply design for this new type of energy consumers is still missing. Considering the facility located in Moscow power supply of a data mining pool is studied and respective power quality survey is conducted. Finally, the impact of data mining equipment on the power factor and grid voltage variations is demonstrated.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] Evaluation of energy consumption data for business consumers
    Pathak, Anchal
    Anbu, A. Deivasree
    Abd Jamil, Azlin Binti
    Vohra, Sunil Kumar
    Gupta, Shashi Kant
    Pandey, Ashish Kumar
    Abate, Getnet Worke
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2025,
  • [2] Data Mining of Energy Consumption in Manufacturing Environment
    Rocha, Andre Dionisio
    Tapadinhas, Joao Aires
    Flores, Luis
    Oliveira, Jose Barata
    SERVICE ORIENTATION IN HOLONIC AND MULTI-AGENT MANUFACTURING, 2017, 694 : 157 - 166
  • [3] Recommending Energy-Efficient Data Mining Services with Data as Contextual Factors
    A-Zanbouri, Zainab
    Ding, Chen
    2019 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (IEEE SCC 2019), 2019, : 14 - 18
  • [4] Building Energy Time Series Data Mining for Behavior Analytics and Forecasting Energy consumption
    Balachander, K.
    Paulraj, D.
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2021, 15 (06) : 1957 - 1980
  • [5] Learning Energy Consumption and Demand Models through Data Mining for Reverse Engineering
    Naganathan, Hariharan
    Chong, Wai K.
    Ye, Nong
    DEFINING THE FUTURE OF SUSTAINABILITY AND RESILIENCE IN DESIGN, ENGINEERING AND CONSTRUCTION, 2015, 118 : 1319 - 1324
  • [6] Fault Detection Analysis of Building Energy Consumption Using Data Mining Techniques
    Khan, Imran
    Capozzoli, Alfonso
    Corgnati, Stefano Paolo
    Cerquitelli, Tania
    MEDITERRANEAN GREEN ENERGY FORUM 2013: PROCEEDINGS OF AN INTERNATIONAL CONFERENCE MGEF-13, 2013, 42 : 557 - 566
  • [7] Data Mining Analysis of Changes in Energy Consumption by Transportation Structure Adjustment: An Index Decomposition Approach
    Jiang, Jian
    Jing, Yun
    Liu, Qing
    Tian, Yu
    Wang, Jing
    INTERNATIONAL JOURNAL OF MULTIPHYSICS, 2024, 18 (03) : 268 - 275
  • [8] An energy efficiency solution based on time series data mining algorithm on elementary school building
    Gong, Qiang
    Liu, Xiaodong
    Zeng, Ying
    Han, Shuyan
    INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES, 2022, 17 : 356 - 372
  • [9] Energy performance of aquatic facilities in Victoria, Australia
    Rajagopalan, Priyadarsini
    FACILITIES, 2014, 32 (9-10) : 565 - +
  • [10] Three-level Classification of Air Conditioning Energy Consumption for Building Energy Management System Using Data Mining Techniques
    Chumnanvanichkul, Pornpra
    Chirapongsananurak, Pisitpol
    Hoonchareon, Naebboon
    2019 IEEE PES GTD GRAND INTERNATIONAL CONFERENCE AND EXPOSITION ASIA (GTD ASIA), 2019, : 616 - 620