100+
Organisations trust Oxand
10%+
Risk-of-failure reduction
10%+
Increase in asset availability
6–12 months
Typical ROI horizon
Single
Source of truth
Use cases · Grid Investment Planning
Grid investment planning, simulated year by year — for the next 5 to 30 years.
Substation renewals, line replacements, transformer programmes, smart-meter rollouts, DER integration, EV-load reinforcement. The same model handles them all — and shows the trade-offs between them.
up to 30% TCO reduction
>95% accuracy of ageing forecasts proven over 10 years
28% energy consumption cut on 15-year plans
Evidence-based, planned reinforcement keeps grid condition above the failure threshold across 30 years.
Six forces making grid investment planning harder than it used to be.
01
DER and EV reshape demand
Distributed solar, batteries, and EV charging fundamentally change load shape. Plans built on historical demand forecasts are already obsolete before they reach the board.
02
Generation retirement
Coal, gas, and nuclear units coming offline. Replacement capacity, transmission reinforcement, and storage all land on the same critical path.
03
Climate volatility
Storms, heat domes, drought, and wildfire. Reliability investment has to be modelled forward against projected climate exposure, not against historical baselines.
04
Regulatory revenue caps
The total CAPEX envelope is fixed by the regulator. Trade-offs between substation renewal, line hardening, and DER integration are zero-sum and must be defensible.
05
Net-zero commitments
Voluntary or mandated decarbonisation pathways have to coexist with reliability and affordability. Carbon sits inside the CAPEX decision, not beside it.
06
Workforce attrition
Senior planning engineers retiring with the network model in their heads. Decision logic has to live in a platform that survives the transition.
Grid investment planning
is the multi-decade discipline of sequencing capital investment across transmission, distribution, generation, and storage assets — under simultaneous constraints of budget, reliability, carbon, and regulatory revenue caps. The Gartner Market Guide for Asset Investment Planning Solutions (G00781827, December 2024) identifies grid investment planning as a primary AIP use case for energy utilities.
How Simeo approaches grid investment planning.
Unify
One asset register across the full network
Substations, lines, transformers, switchgear, mains, plants, meters — bulk import from CMMS, GIS, or ERP in days. A single, auditable source of truth for the planning team.
Project
Year-by-year degradation and risk modelling
10,000+ predictive models project failure probability, consequence, and climate exposure for every asset class in the network. DER penetration and EV load forecasts integrate as scenario inputs to reshape upgrade timing at the substation level.
Simulate
Multi-decade scenarios under budget, risk, and carbon constraints
Compare 5, 10, and 30-year scenarios side by side. Set budget caps, reliability targets, carbon pathways, and DER penetration assumptions — then see exactly which assets get funded in each future, with sensitivity turnaround in hours not weeks.
From asset register to 30-year reinforcement plan.
Four steps, one model: unify the register, project it forward, define the scenarios, and defend the plan.
1
Unify the register
Substations, lines, transformers, switchgear, mains — bulk import from CMMS, GIS and ERP in days.
2
Project forward
10,000+ predictive models. Failure probability, consequence and climate exposure, year by year.
3
Define scenarios
Budget caps, reliability targets, decarbonisation pathway and DER assumptions — all configurable.
4
Compare and defend
Side-by-side scenarios, asset-level detail, board-ready output formatted for your regulator.
Every recommendation links to the asset, the condition data, the model and the action.
Six capabilities that differentiate Simeo for grid planning.
Multi-decade scenario simulation
Compare 5, 10, and 30-year scenarios under budget, risk, and carbon constraints. See exactly which assets get funded in each future and where risks accumulate.
Reinforcement vs replacement
Refurbish, replace, or run to failure — modelled with full-life cost, risk reduction, and carbon impact for every option across every asset class.
Carbon as a first-class constraint
Generation mix, line losses, electrification of heat and transport — net-zero pathway sits inside CAPEX, not adjacent to it. Optimise €/tCO₂ across the full portfolio.
DER and EV load modelling
Distributed solar, battery storage, and EV charging modelled as scenario inputs. See which substations need upgrade timing changes under aggressive vs conservative DER adoption.
Climate-aware risk weighting
Forward weather exposure layered onto asset condition. Investments prioritised where climate consequence is highest — storm, heat, flood, and fire all modelled.
Audit-ready evidence trail
Every recommendation links to the asset, the condition data, the model, and the action. Defensible to regulator, board, and the public — without additional preparation.
Recognised by Gartner.
Gartner Market Guide for Asset Investment Planning Solutions, December 2024
Oxand is named as a representative vendor in the Gartner Market Guide for Asset Investment Planning Solutions (G00781827, December 2024). The guide identifies AIP as a distinct software category used by asset-owning organisations to prioritise capital investment across the asset life cycle.
Frequently asked questions
Does Simeo support year-by-year simulation over long horizons?
Yes. Year-by-year simulation across the full asset lifecycle. Predictive models project degradation, risk, cost, and carbon over the planning horizon you set — 5, 10, 20, or 30 years.
Does Simeo handle both transmission and distribution assets?
Both. Transmission, distribution, generation, and storage assets are all handled with vertical-specific predictive models — substations, lines, transformers, switchgear, and mains.
How does Simeo model DER and EV load growth?
DER penetration is a scenario input that reshapes load shape, line capacity, voltage management, and substation upgrade timing. Run aggressive vs conservative DER scenarios and see asset-level impact immediately.
Can we integrate external load forecasts?
Yes. Load forecasts from internal models or third-party vendor tools integrate via REST and GraphQL APIs as scenario inputs alongside condition data and degradation models.
Does the same engine work for water and gas networks?
Yes. The same engine handles linear and point assets across power, water, and gas networks — with asset-family-specific predictive models calibrated for each network type.
See the grid investment workflow on your network.
Bring your asset register and planning horizon. We'll show you what a 30-year scenario looks like on your data.
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