A Demand Bidding Model for Multi-Product Industrial Plants: Article No. 109349

  • Xin Tang
  • , Michael Baldea
  • , Elaine Hale
  • , Ross Baldick
  • , Richard O'Neill

Research output: Contribution to journalArticlepeer-review

1 Scopus Citations

Abstract

The growing contribution of renewable energy sources has increased volatility and uncertainty in electricity markets, challenging traditional grid operation paradigms. Demand bidding (DB), a market participation model where (large) electricity users communicate their willingness to pay for electricity to the grid operator, was shown in previous work to enhance grid stability and lower generation cost. We present a DB model for multi-product industrial plants, based on an extended optimal power flow problem where the plant dynamics are represented using autoregressive with extra inputs (ARX) models. We compare DB to price-based demand-side management, showing that, under certain assumptions, the two approaches are equivalent, while DB provides more transparency and predictability to the grid operator. A case study based on an industrial air separation unit is discussed.
Original languageAmerican English
Number of pages10
JournalComputers and Chemical Engineering
Volume204
DOIs
StatePublished - 2026

NLR Publication Number

  • NREL/JA-6A40-95117

Keywords

  • air separation unit
  • demand bidding
  • demand response
  • demand-side management
  • optimal power flow

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