• DocumentCode
    3570749
  • Title

    Benchmarking Industrial Systems Using Energy at Risk and Benchmark Energy Factor Concepts

  • Author

    Pitis, C.D. ; Giurgiu, V. ; Al-Chalabi, Z.

  • Author_Institution
    BC Hydro, BC, Canada
  • fYear
    2014
  • Firstpage
    248
  • Lastpage
    253
  • Abstract
    While DSM programs consider energy consumption (EUsed) as a whole, proposed method splits energy in 2 (two) specific components: Ideal energy (EIdeal) and Energy at Risk (E@R). Considering these two types of energy a Benchmark Energy Factor (BEF) can be defined. BEF compares the energy used by an industrial system or process, Eused to the minimum energy required to accomplish the task at hand Eideal. Ideal energy (power) can be very accurate calculated by using adequate (well known) laws of physics chosen function of the work type performed by Drive End-use Equipment (DEE), therefore a solid (not empirical) baseline for benchmarking system will be available. That will eliminate traditional variability that uses variable baselines as "best practice" or other criteria. Volatile comparative element across an industrial sector will be replaced with a theoretical goal. BEF enables a new approach towards energy efficiency in industrial sector and help level the playing field for energy management. It will be demonstrated that (E@R) variation is embedded in (BEF). Proposed method makes possible to determine accurately the (E@R) under variable material and environmental conditions making possible to manage the energy losses. The rating is then solely based on how close the true energy consumption within an industrial process gets to that ideal state. Paper proposes a rating system model to describe the energy-efficiency for any industrial process independent of a comparison with other processes. Case studies assessing industrial conservation opportunities by using (E@R) and (BEF) concepts on various industrial sectors and processes (IS&P) are presented.
  • Keywords
    energy conservation; environmental factors; industrial plants; risk management; drive end-use equipment; energy at risk; energy consumption; energy efficiency; energy factor; energy loss; environmental conditions; ideal energy; industrial conservation; industrial process; industrial system benchmarking; rating system model; Benchmark testing; Energy consumption; Energy efficiency; Energy measurement; Materials; Space heating; Standards; Benchmarking; Conservation potential; Energy at risk; Energy efficiency; Industrial Systems and Process; Measurements & Verification; Power converter; Waste Energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Power and Energy Conference (EPEC), 2014 IEEE
  • Type

    conf

  • DOI
    10.1109/EPEC.2014.21
  • Filename
    7051709