Merging top-down and bottom-up planning approaches

This weblog sequence discusses the advanced duties vitality utility corporations face as they shift to holistic grid asset administration to handle by the energy transition. The primary publish of this sequence addressed the challenges of the vitality transition with holistic grid asset administration. The second publish on this sequence addressed the built-in asset administration platform and knowledge alternate that unite enterprise disciplines in several domains in a single community.

Breaking down conventional silos

Many utility asset administration organizations work in silos. A holistic method that mixes the siloed processes and integrates numerous planning administration techniques offers optimization alternatives on three ranges:

1. Asset portfolio (AIP) stage: Optimum challenge execution schedule
2. Asset (APMO) stage: Optimum upkeep and alternative timing
3. Spare half (MRO) stage: Optimum spare components holding stage

The mixed planning workouts produce budgets for capital expenditures (CapEx) and working bills (OpEx), and set minimal necessities for grid outages for the upcoming planning interval, as proven within the following determine:

Asset investments are usually a part of a grid planning division, which considers expansions, load research, new prospects and long-term grid necessities. Asset funding planning (AIP) instruments carry worth in optimizing numerous, generally conflicting, worth drivers. They mix new asset investments with current asset replacements. Nonetheless, they comply with totally different approaches to danger administration through the use of a danger matrix to evaluate danger at the beginning of an optimization cycle. This top-down course of is efficient for brand spanking new property since no details about the property is offered. For current property, a extra correct bottom-up danger method is offered from the continual well being monitoring course of. This course of calculates the well being index and the efficient age based mostly on the asset’s particular degradation curves. Dynamic well being monitoring offers up-to-date danger knowledge and correct alternative timing, versus the static method used for AIP. Combining the asset efficiency administration and optimization (APMO) and AIP processes makes use of this enhanced estimation knowledge to optimize in actual time.

Upkeep and challenge planning happen in operations departments. The APMO course of generates an optimized work schedule for upkeep duties over a challenge interval and calculates the optimum alternative second for an current asset on the finish of its lifetime. The upkeep administration and challenge planning techniques load these duties for execution by subject service departments.

On the upkeep restore and overhaul (MRO) aspect, spare half optimization is linked to asset criticality. Failure mode and impact evaluation (FMEA) defines upkeep methods and related spare holding methods. The primary parameters are optimizing for inventory worth, asset criticality and spare half ordering lead instances.

Conventional planning processes give attention to disparate planning cycles for brand spanking new and current property in a top-down versus bottom-up asset planning method. This method results in suboptimization. An built-in planning course of breaks down the departmental silos with optimization engines at three ranges. Optimized planning ends in decrease outages and system downtime, and it will increase the environment friendly use of scarce sources and finances.

Read more about IBM® Maximo® APM for Energy and Utilities