Leveraging Geospatial Planning and Market Intelligence to Accelerate Off-Grid Gas-to-Power Deployment

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@article{1710060,
      author = {Paul Uche Didi, Ololade Shukrah Abass, Oluwatosin Balogun},
      title = {Leveraging Geospatial Planning and Market Intelligence to Accelerate Off-Grid Gas-to-Power Deployment},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {3},
      number = {10},
      pages = {481-495},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1710060.pdf},
      abstract = {Off-grid gas-to-power solutions are emerging as a critical component in the global push for universal energy access, particularly in regions where extending the centralized grid is technically or economically unfeasible. These systems, which utilize natural gas?including compressed natural gas (CNG) and liquefied natural gas (LNG)?to generate decentralized electricity, offer a cleaner, more reliable alternative to traditional diesel generators. They are especially suited to industrial clusters, commercial zones, agricultural operations, and remote communities that suffer from energy poverty and under-electrification. A major challenge in scaling off-grid gas-to-power deployment lies in the identification of high-impact locations where projects are both technically feasible and economically viable. This explores how geospatial data?such as infrastructure maps, population density, and proximity to gas pipelines?combined with market intelligence?such as energy demand profiles, customer segmentation, and willingness-to-pay?can optimize project siting and investment decisions. By integrating spatial analytics with socioeconomic and regulatory data, stakeholders can more effectively prioritize areas with the greatest need and potential return. This proposes a conceptual framework that merges geospatial planning with market intelligence to guide decision-making across the deployment lifecycle?from site selection to project validation and risk assessment. The framework incorporates layered data inputs and AI-driven modeling to streamline project targeting, enabling governments, investors, and developers to align energy supply with latent demand. The integrated approach has the potential to significantly accelerate energy access while stimulating local economic growth and industrial productivity. It also enhances the bankability of off-grid gas-to-power projects by reducing siting risk and improving demand forecasting. Ultimately, this research contributes to the development of a scalable, data-driven methodology for energy planning in emerging markets, positioning off-grid gas-to-power as a viable pathway toward sustainable and inclusive electrification.},
      keywords = {Leveraging, Geospatial planning Market intelligence, Accelerate, Off-grid, Gas-to-power deployment},
      month = {April},
  }