Client OMV
Project Umm Lulu Decarbonisation Study
Sector Energy & Chemicals
Services Emissions Reduction
Location United Arab Emirates

Objective

To identify and implement decarbonisation and energy efficiency opportunities for the Umm Lulu facilities, aligning with ADNOC’s goal of reducing greenhouse gas (GHG) emissions intensity by 25% by 2030 and achieving significant energy performance
improvements.

Project Scope

The Decarbonisation and Energy Efficiency of Umm Lulu Facilities Study (DEEULFS) encompassed the following:

  1. Baseline Assessment:
    • Established current GHG emissions and energy intensity levels.
    • Projected future emissions and energy requirements under Long-Term Development Plan Phase 1 (LTDP1), targeting a ~50% reduction in GHG emissions.
  2. Opportunity Identification:
    • Conducted workshops to identify short, mid and long-term opportunities for GHG reduction and energy optimisation.
    • Focused on Significant Energy Use (SEU) systems such as gas turbines (GTs), compressors and pumps.
  3. Technical Analysis:
    • Utilised io’s proprietary Energy Management System (EMS) model to evaluate decarbonisation pathways.
    • Defined technical options, capital expenditure (CAPEX), operating costs (OPEX) and risk assessments.
  4. Decarbonisation Options:
    • Explored grid electrification, renewable energy integration and process optimisations.
    • Evaluated the feasibility of battery energy storage systems (BESS), solar, wind and hydrogen blending.
  5. Roadmap Development:
    • Prepared a roadmap with actionable recommendations for short, mid and long-term implementation.

Findings & Recommendations

Findings

  • Current Emissions Profile:
    • Existing GHG emissions intensity established.
    • LTDP1 emissions intensity forecast developed.
  • Reduction Potential:
    • Short-term measures could achieve a ~33% reduction in GHG intensity (2025–2028).
    • Mid/long-term measures could lower emissions to ~50%, achieving ADNOC’s sustainability targets.
  • Decarbonization Options:
    • Grid Electrification: Transitioning gas turbines to green power via grid electrification reduces emissions significantly.
    • Renewables Integration:
      Solar: Effective in high irradiation regions but requires significant CAPEX and land area.
      Wind: Limited feasibility due to low wind energy potential in the region.
    • Hydrogen Blending: Potential for a minimal GHG reduction but limited impact post-electrification.
    • Process Optimisations: Reducing recycle flow rates and implementing digital tools for efficiency gains.

Recommendations

  1. Short-Term Actions:
    • Implement energy-saving measures such as shutting down excess capacity and optimising equipment performance.
    • Utilise digital tools for data acquisition and advanced process control.
  2. Mid/Long-Term Actions:
    • Develop grid electrification projects with greenfield and brownfield options.
    • Explore battery storage solutions to enhance power stability.
    • Assess renewable energy integration alongside ADNOC’s CCUS initiatives.
  3. Operational Alignment:
    • Coordinate with ADNOC’s broader sustainability objectives and integrate findings into the LTDP roadmap.

io Value Add

io delivered significant value by:

  • Technical Expertise:
    • Applied advanced EMS modelling to evaluate decarbonisation and energy efficiency opportunities.
    • Delivered robust technical definitions, CAPEX/OPEX estimates and risk assessments for all proposed options.
  • Stakeholder Engagement:
    • Facilitated workshops to align ADNOC’s operational teams with sustainability goals.
    • Defined clear pathways for short and long-term decarbonisation efforts.
  • Strategic Impact:
    • Enabled ADNOC to progress toward its 2030 GHG reduction target.
    • Positioned Umm Lulu facilities as a benchmark for energy efficiency within the region.

Through its structured decision-quality framework, io provided actionable insights and a comprehensive roadmap, ensuring alignment with ADNOC’s sustainability strategy while minimising operational risks.