IANCASTLE:FREELANCE

Energy asset investment ebook copywriting, IFS

Optimizing asset investment in the energy sector, ebook copywriting, IFS. The shift to sustainable energy means power generation and distribution companies must diversify. Following research and interviews with IFS industry experts, I wrote this 12-page thought-leadership eBook outlining the opportunities for optimizing asset investment and management using IFS Cloud software.

  • COPY: Ian Castle, Freelance Copywriter
  • CLIENT: IFS

Enterprise software eBook copy sample, energy sector, IFS (US English)

[Excerpt]:

Asset management challenges for a sector in transition.

Today’s energy sector is complex, diverse, and facing unprecedented pressure and change. By 2040, global demand for energy will have risen by 30%. The drive to reach net zero requires sustained-year-on-year investment in renewable infrastructure to realize majority generation from solar, wind, hydrogen and hydro.

In an asset-intensive sector, managing, maintaining, and upgrading/renewing a distributed portfolio of linear, vertical and portable assets poses several strategic and practical dilemmas.

Replace, repair, or build back better?

Energy companies are faced with designing and creating a sustainable grid that is fit for today yet offers the capacity and resilience to meet demand tomorrow. Given limited resources, including a diminishing skilled workforce and finite capital, organizations are increasingly looking to predictive asset maintenance to extend asset lifetimes.

Research suggests most assets now in the field are operating beyond their original intended lifetime. In the US, over 70% of energy assets are over 25 years old (Source: US Dept Energy). Any forward-looking asset management, maintenance and investment strategy must be able to recognize where it makes sense to extend existing asset lifetimes, or where replacement or redesign is the most viable route.

By using data from sensors, scanners, and customer demand reports, asset performance monitoring, coupled with AI-based predictive analytics, allows informed, data-driven investment planning.