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This article investigates and discusses potential energy scenarios and strategies for the Emirate of Dubai in the United Arab Emirates (UAE), for the 2030 energy generation mix. An energy mix optimization model is used to analyse the projected 2030 generation mix scenario for Dubai, to explore how different sources of renewable energy can change the generation mix in 2030 and the opportunities and challenges associated with it. With several large ongoing renewable energy projects in Dubai, there will be a high share of renewables in the future energy generation mix of Dubai by 2030. Considering these projects in the energy mix model, the time-varying generation cost of electricity for 2030 is calculated. Then, it is shown how demand flexibility can be utilized to handle such a time-varying cost profile, employing an energy model of a commercial building. A model-predictive control (MPC) technique is applied to optimize the energy performance of a building according to the predicted cost and weather conditions. It should be noted that the article is based on the author's assumptions of potential future energy scenarios, and it does not represent official policies and cost estimates.

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Impact of Demand Flexibility in Reducing Power Generation Costs for Potential Future Energy Systems for Dubai

  • 会议论文

  • 发表日期：

    2025年

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  • Ali Saberi-Derakhtenjani,
  • Juan David Barbosa,
  • Ansari Aadil Shahzad,
  • Harry Apostoleris,
  • Edwin Rodriguez Ubinas

摘要

This article investigates and discusses potential energy scenarios and strategies for the Emirate of Dubai in the United Arab Emirates (UAE), for the 2030 energy generation mix. An energy mix optimization model is used to analyse the projected 2030 generation mix scenario for Dubai, to explore how different sources of renewable energy can change the generation mix in 2030 and the opportunities and challenges associated with it. With several large ongoing renewable energy projects in Dubai, there will be a high share of renewables in the future energy generation mix of Dubai by 2030. Considering these projects in the energy mix model, the time-varying generation cost of electricity for 2030 is calculated. Then, it is shown how demand flexibility can be utilized to handle such a time-varying cost profile, employing an energy model of a commercial building. A model-predictive control (MPC) technique is applied to optimize the energy performance of a building according to the predicted cost and weather conditions. It should be noted that the article is based on the author's assumptions of potential future energy scenarios, and it does not represent official policies and cost estimates.