• DocumentCode
    2337474
  • Title

    Architecture and optimization approach of Ubiquitous Energy Network (UEN)

  • Author

    Chen Song ; Zhongxue Gan ; Chenhui Dong

  • Author_Institution
    ENN Group Co., ENN Group Co., Ltd., Langfang, China
  • fYear
    2012
  • fDate
    18-20 July 2012
  • Firstpage
    1573
  • Lastpage
    1578
  • Abstract
    Next generation energy technologies become the urgent topics concerning the global energy crisis. The difficulties for the development of energy network are inevitable with the growing of information network and thing network. In this paper, authors proposed Ubiquitous Energy Network (UEN), which combining energy network, information network and thing network to meet the challenges of traditional energy systems. UEN´s 4-stage full lifecycle and architecture are introduced firstly and the advantages of UEN are summarized. To optimize the UEN, It will meet “the curse of dimensionality” in searching optimal strategies caused by complicated coupling of different energy flow. Our practice shows that Ordinal Optimization method with Ordinal Parameter Laws can solve the problem very well by minimizing the energy consumption and maximizing 4-stages satisfaction degree. The case study on ENN Eco-city and the simulation experiment show that UEN and its optimization methods provide a promising concept and solution for next-generation energy systems.
  • Keywords
    information networks; power engineering computing; power systems; ENN Eco-city; energy consumption; global energy crisis; information network; next generation energy technologies; next-generation energy systems; ordinal optimization method; ordinal parameter laws; ubiquitous energy network; Couplings; Electricity; Energy consumption; Man machine systems; Optimization; Resistance heating; Space heating;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-2118-2
  • Type

    conf

  • DOI
    10.1109/ICIEA.2012.6360974
  • Filename
    6360974