• DocumentCode
    2060921
  • Title

    The research on technology of periodic stopping of central air conditioning based on modelling and simulation of demand response

  • Author

    Sheng Liu ; Cheng Chen ; Wuhuan Duan ; Yu Dong ; Chunsheng Li

  • Author_Institution
    Fujian Electr. Power Co., Ltd., Zhangping, China
  • fYear
    2012
  • fDate
    10-14 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Recent years, the strain of electricity supplying becomes more and more serious, especially in the period of summer electricity peak load. The huge increasing of air conditioning is one of the main reason related to the climbing peak load, so doing research on how to reduce central air conditioning load rationally and effectively has significance towards releasing the conflict between electricity supplying and demanding in the period of peak load. There are three main measures to deal with air conditioning load, first one is ameliorating equipments and using air conditioning which is more effective and saving energy, second one is using ice storage air conditioning to stagger power consumption, third one is pushing the technology of periodic stopping of central air conditioning. Practice has proved that application of the first two measures hasn´t achieved success abroad because of large investment of equipments and long payback period of investment, however, the third one lacks of feasibility analysis of foundation because of its systematization and complexity. This paper designs a experimental scheme of periodic stopping of central air conditioning in office buildings and central business district. Establishing research strategy to the following questions included forecasting air conditioning load, grouping air conditioning units and setting the space of periodic stopping. A controlling mode of air conditioning units which can exchange information between electricity supplying side and demanding side and the operation procedure of optimizing experimental scheme based on uses´ feedback are designed. Then, analyzing and evaluating the influence of cooling quality, the impact of reducing peak load through establishing the model of demand response. At last, simulating the experimental scheme and doing further discussion about the result.
  • Keywords
    air conditioning; building management systems; demand side management; load forecasting; power consumption; power supply quality; air conditioning load forecasting; air conditioning unit grouping; central air conditioning; central business district; climbing peak load; cooling quality; demand response simulation; electricity supply; energy saving; equipment investment; ice storage air conditioning; office buildings; periodic stopping; power consumption; summer electricity peak load; use feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2012 China International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-7481
  • Print_ISBN
    978-1-4673-6065-4
  • Electronic_ISBN
    2161-7481
  • Type

    conf

  • DOI
    10.1109/CICED.2012.6508600
  • Filename
    6508600