Costly errors
Hand-offs between siloed tools introduce mistakes that surface after ground break — exactly when they are most expensive to fix.
SCOP — design energy infrastructure right, before capital is committed.
AI-first energy infrastructure platform
Design energy infrastructure right — before capital is committed.
Stop guessing. Start modeling. SCOP turns your racks, loads, DERs and tariffs into one live electrical model — for data centers, microgrids, C&I facilities and EV fleets.
- Electrical site model generated automatically from racks, loads and DERs — no manual takeoffs
- 3D layout, single-line diagrams and EPC-ready drawings, generated from the model and always in sync
- CAPEX, OPEX, TCO, ROI and payback recalculated instantly for every what-if
- Configurable EMS simulates dispatch, tariffs and resilience before anything is deployed
1 live model3D + SLD + docs20× faster docs0-risk EMS testing
20×faster EPC-ready documentation, exported to AutoCAD & Visio
1 modelfrom electrical design to CAPEX, OPEX, TCO, ROI and payback
3Dwhite space, gray space and outdoor infrastructure — navigable end to end
0 riskEMS dispatch strategies validated in simulation before deployment
Why SCOP
Billions in capital. Designed in spreadsheets.
Energy infrastructure — data centers, C&I facilities, fleet electrification — is among the most capital- and time-intensive investments an organization can make, and once built it is difficult and expensive to change. Yet the engineering behind it still runs on disconnected spreadsheets, scattered simulation tools, manual calculations and siloed workflows.
Slow delivery
Every design change and every what-if question costs weeks of manual re-modeling, re-calculating and re-drawing.
Day-one underperformance
Systems sized on assumptions instead of simulation underperform from the moment they are switched on.
Nowhere are the stakes higher than in data centers, where power availability and cost directly determine project viability.
Workflow
From concept to operation in four steps.
01
Model
Select racks, IT loads, DERs and power infrastructure. SCOP builds the electrical model of the entire site — automatically.
02
Simulate
Run power flow, dispatch and outage scenarios. Test what-ifs across load, tariffs, equipment and phasing — risk-free.
03
Decide
Compare every configuration on CAPEX, OPEX, TCO, ROI and payback, then export EPC-ready documentation.
04
Operate
Hand the validated strategies to the EMS — peak shaving, smart charging and resilience, proven before go-live.
Solutions
One platform. Every energy project.
The same live model, techno-economics and EMS — applied wherever power decides whether a project works.
Data centers
White space, gray space and outdoor power designed as one system — from racks and IT loads to gensets, BESS, switchgear and the utility feed. Prove power availability, cost and timeline before committing land or capital.
See the data center workflow →Microgrids & DERs
Design distributed energy on the real parcel — solar, BESS, gensets and hydrogen — then simulate dispatch, islanding and resilience before a single asset is deployed.
Explore DER site design →C&I facilities
Size behind-the-meter DERs against your actual tariff to cut demand charges and utility bills — with savings proven over a 20-year horizon, not promised.
See the economics →EV & fleet electrification
Plan depots, chargers and grid upgrades on the real site — smart-charging strategies, feeder and trench costs, and utility coordination in one model.
Plan the depot →In the model:
Solar PVBESSGensetsHydrogenEV chargersBuildings & IT loadUtility gridConvertersSolar PVBESSGensetsHydrogenEV chargersBuildings & IT loadUtility gridConvertersSolar PVBESSGensetsHydrogenEV chargersBuildings & IT loadUtility gridConvertersSolar PVBESSGensetsHydrogenEV chargersBuildings & IT loadUtility gridConvertersSolar PVBESSGensetsHydrogenEV chargersBuildings & IT loadUtility gridConvertersSolar PVBESSGensetsHydrogenEV chargersBuildings & IT loadUtility gridConverters
Use cases
Three ways to put the model to work.
The same live model answers a different question depending on who's asking — resilience, bill savings, or bankable returns.
Self-sufficiency & resilience
Find the lowest-cost design for remote power systems, microgrids and islanded utilities.
- Off-grid and microgrid systems, including remote and islanded sites
- System sizing optimized against real load profiles and resilience targets
- Multiple generation sources modeled together — solar, wind, diesel, thermal, hydro — with storage and load
Electric bill optimization
Cut energy costs and add resilience for grid-connected facilities and EV charging sites.
- Behind-the-meter modeling for commercial and industrial facilities
- Optimized for demand charges, tariffs and energy arbitrage with solar plus storage, including EV chargers
- Built for cost-saving strategies and resilience planning at existing sites
Utility-scale investment
Maximize return on utility-scale storage systems, with or without solar or wind.
- Front-of-the-meter hybrid projects — solar, wind and BESS
- Multi-year dispatch modeling, market participation and bankability analysis
- Built for developers and investors evaluating merchant and contracted revenue
The platform
One project model. Every engineering answer.
Everything downstream — 3D layouts, financials, drawings, dispatch — stays in sync because it is generated from the same live model.
Electrical site model
Pick racks, IT loads and supporting infrastructure — SCOP assembles the electrical model of the site, from utility feed to the last feeder.
Interactive 3D layout
White space, gray space and outdoor infrastructure in one navigable environment — GPU halls, UPS, switchgear, gensets, BESS and PV.
Techno-economic engine
CAPEX, OPEX, TCO, ROI and payback for every configuration — with what-if scenarios across load, tariffs, equipment and phasing.
Automatic documentation
Live single-line diagrams and EPC-ready drawings generated from the model and exported to AutoCAD and Visio — up to 20× faster.
Configurable EMS
Define tariffs, dispatch strategies, battery limits and resilience targets — then simulate behavior before anything is deployed.
AI models & agents
Custom AI assists at every step — accelerating analysis and surfacing insights that would otherwise demand heavy manual effort.
Simulation & optimization engine
A browser-based engine to model and optimize hybrid power systems.
Model and optimize the technical and economic performance of utility-scale battery storage, solar and wind — independently or as hybrid systems — inside the same platform you already use for site design and financials.
Simulation
- Simulate hybrid microgrid operation across a full year, at time steps from one minute to one hour
- Evaluate every viable equipment configuration you're considering, not just one
- Get detailed performance data at each step, to support decisions through the full development process
Optimization
- Examine every possible combination of system types to uncover the most viable options for your microgrid or distributed energy system
- Streamline the search for least-cost options with a proprietary derivative-free optimization engine
Sensitivity analysis
- Run thousands of simulations in a single analysis to assess the impact of key variables — irradiance, fuel costs, load demand and more
- Compare scenarios side by side to see how changes in external factors affect system performance
- Identify the most resilient, cost-effective configuration and balance cost, efficiency and reliability for current and future conditions
Data centers
From rack selection to a live single-line diagram.
Select racks and IT loads and SCOP builds the complete campus around them: gensets, BESS, UPS, switchgear and the utility interconnection — modeled electrically and rendered in 3D, from the GPU hall to the substation fence.
- White space, gray space and outdoor infrastructure designed together, in one environment
- Single-line diagrams with live power-flow scenarios, generated from the model
- N+1 / 2N topologies, genset and BESS sizing, switchgear lineups
- EPC-ready drawings exported to AutoCAD and Visio — documentation compressed up to 20×
DWG · AutoCADVSD · VisioLive power flow
The stakes behind the power strategy
Cost, carbon, uptime: the data center energy trilemma.
Global data center electricity use already sits at 1–2% of total demand, and AI workloads are pushing that share up every quarter. Operators are pulled in three directions at once: hold down energy spend (power alone runs 30–40% of opex), hit corporate commitments for round-the-clock carbon-free supply, and never let a new energy asset put SLA-grade uptime at risk. On-site generation and storage can satisfy all three — but only when the design is grounded in real techno-economic modeling, not rules of thumb.
30–40% of OPEX
Electricity tops the OPEX sheet
Power typically eats 30–40% of a data center's operating budget, and cooling-driven demand spikes can push demand charges past a quarter of the electricity bill on their own.
24/7 CFE expectation
24/7 carbon-free is the new bar
Annual renewable energy credits no longer satisfy hyperscalers and enterprise tenants — the ask now is round-the-clock carbon-free supply. On-site generation is one of the few ways to get there, with standards like ISO 50001 increasingly the expected paper trail.
99.999% SLA pressure
Reliability has no margin for error
Five-nines SLAs leave no room for a new energy asset to be the weak link — it has to raise reliability, never risk it. That's why battery storage is increasingly standing in for, or backing up, diesel generators.
50–100+ MW demand
AI is rewriting the load forecast
Training and inference workloads are pushing power density past anything the grid was sized for. New campuses now need 50–100+ MW, and interconnection queues can't move fast enough without on-site generation to fill the gap.
Decision-grade modeling
Modeling depth built to survive scrutiny
SCOP gives data center teams a way to pressure-test on-site solar, storage and hybrid generation against real cost, resilience and carbon targets — before a single asset is specified, and without ever putting customer-facing uptime on the table.
8,760-hour visibility
Load profile modeling
Bring in your own 15-minute interval data — cooling swings, IT load ramps, maintenance windows and all. SCOP runs the full 8,760-hour year so seasonal patterns show up in the result, not just a typical day.
Stacked BESS value
Multi-use battery modeling
Size a battery once and value it across every job it does: shaving peak demand day to day, standing in as backup during an outage, and arbitraging price swings off-peak — with each revenue stream broken out on its own.
Optimal source mix
Grid and on-site co-optimization
Find the least-cost blend of grid power, solar, fuel cells, gas generation and storage — with interconnection caps, demand charges and hour-by-hour grid carbon intensity factored into the answer, not bolted on after.
Also built in
- Advanced load module: splits fixed IT load from flexible cooling and lighting demand, so load-shifting strategies can be modeled realistically.
- Front-of-the-meter module: for campus-scale sites selling power back to the grid, models merchant revenue and PPA structures alongside on-site consumption.
- Multi-year module: extends the economics across the facility's life, accounting for IT load growth (10–20% a year on AI-heavy campuses), battery degradation and rising utility rates.
One project, worked through
Walkthrough: on-site solar + storage for a colocation campus
The starting point
A 20 MW colocation campus in Northern Virginia's data center corridor was carrying an $8.5M annual power bill, with $2.8M of it in demand charges alone — mostly from summer-afternoon cooling spikes. The parent company had already committed to 100% renewables by 2030, and tenants were starting to ask for auditable, hour-by-hour carbon data instead of annual certificates.
How it was modeled
The team ran real 15-minute interval data through SCOP against the site's actual commercial tariff, then swept combinations of 3–8 MW of ground-mount and carport solar, 10–40 MWh of lithium-ion storage, and a 500 kW–2 MW natural gas fuel cell. Dispatch was tuned for demand-charge reduction and time-of-use arbitrage while holding a 2-hour battery reserve, with Federal ITC, MACRS depreciation and Virginia Clean Economy Act incentives built into the economics.
The result
The model converged on 6 MW of solar, a 25 MWh / 10 MW battery and a 1 MW fuel cell — a design projected to save $3.2M a year, 38% off the bill: $2.1M from shaved demand charges, $700K from arbitrage, and $400K from fuel-cell baseload offset. Solar and fuel cell together cover 42% of annual load with carbon-free generation, penciling out to an 18% project IRR. The operator now points tenants to the analysis itself as evidence of its sustainability commitment.
30–40%of data center operating cost is electricity — the biggest lever operators control
25–40%typical bill reduction once on-site solar and storage are properly optimized
2–4 hrsof battery backup now standing in for, or alongside, diesel UPS
42–65%carbon-free energy achievable by pairing on-site solar with fuel cells
Where this pattern shows up
| Location / client | Project type | Key result |
|---|---|---|
| Data center campus | On-site solar + BESS adopted at scale | Demand charges, sustainability mandates and grid constraints are the three drivers |
| Logistics facility | Solar + storage across large commercial roof and ground-mount sites | Same modeling approach carries over to data center campuses |
| Enterprise hyperscaler | 24/7 carbon-free energy strategy built around on-site generation | Findings referenced in corporate sustainability reporting |
| Colocation portfolio | DER optimization across a multi-site energy portfolio | Shows the demand for tariff-depth analysis in data center planning |
Microgrids · DERs · C&I · EV & fleet
Site design on the real map — down to the feeder.
Drop solar, BESS, gensets, EV charging and buildings onto the actual parcel. The solar design tool takes an include area and an exclude area and does the rest — structure type, row-to-row spacing, GCR and automatic panel placement.
- Include / exclude areas with auto panel placement — 410 panels placed in seconds, not hours
- Row spacing computed from GCR, tilt and structure type; 2D and full 3D views
- Feeder cost engineering as you draw: wire material, AWG, conduit, routing, trench repair, terminations
- EV & fleet electrification: chargers and depot loads modeled alongside every DER
GCR 0.56Row spacing 1.78 m410 panels placed295 kW
Advanced modules
Deeper modeling for specialized systems.
Advanced storage module
Unlocks rate-dependent losses, capacity that shifts with temperature, variable depth-of-discharge for cycle life, and higher degradation rates at elevated temperatures.
Advanced load module
Model sites with both AC and DC loads in the same system.
Represent deferrable loads such as pumping or HVAC.
Advanced grid module
For grid-connected systems with variable grid prices or a detailed grid specification, and off-grid systems where a future grid extension is possible.
Model real-time or time-of-use tariffs, standby charges and the economics of extending the grid to site.
Hydrogen module
For systems with fuel cells, remote off-grid operation, large industrial process loads, or any hydrogen production, storage or consumption.
Model systems that generate, store and consume hydrogen — from electrolyzers to fuel cells and blending.
EV charging · Fleet electrification
Electrify your fleet with behind-the-meter power.
Design the whole depot on the real site — canopy solar over the stalls, a BESS, a standby genset and the 13.8 kV grid intake — then let the EMS prove a smart-charging strategy that runs the fleet on behind-the-meter power and keeps you inside the site limit the utility actually gave you.
- Behind-the-meter supply modeled end to end: canopy PV, BESS and standby genset behind one 13.8 kV intake
- Smart charging validated in simulation — a 1.9 MW unmanaged spike flattened to 0.7 MW overnight
- Charger-to-feeder cost engineering: wire, conduit, trenching and terminations priced as you draw
- Phased rollout what-ifs: 10 vans this year, 60 in three — with the grid upgrade timed to match
8 × 150 kW DCCanopy PV 0.9 MWBESS 2 MWhGenset standby13.8 kV intake−63% peak demand
Techno-economic analysis
TCO, CAPEX, OPEX, ROI — the full 20-year study.
SCOP evaluates each design across CAPEX, OPEX, TCO, ROI and payback — every value stream, from demand-charge reduction and energy arbitrage to exports and capacity-as-a-service, priced under your actual tariff. What-if answers arrive in minutes, not weeks of re-modeling.
Capital cost · CAPEX$1.1MMicrogrid system
Operational cost · 20-yr$8.5M▼ 35% less vs grid only · incl. fuel & O&M
Annual utility bill$172,013▼ 73% less vs grid only
Payback · IRR14 yrs · 10%Legacy has no payback
Investment performance
Microgrid recovers its investment in 14 years at a 10% internal rate of return — the grid-only baseline never pays back.
20-year utility bill — cumulative
≈ 73% lifetime energy-cost savings across the 20-year horizon.
Annual value stack — $80k / yr
- Energy charge reduction $60k
- Exports $20k
- Demand charge · CaaS $0
Re-runs instantly under any tariff or dispatch scenario.
20-year cumulative cashflow — break-even marked
Where the CAPEX goes — modeled to the feeder
Energy Management System
Operate it in simulation before you operate it for real.
The configurable EMS layer lets operators define tariffs, dispatch strategies, battery limits and resilience targets — then watch the system behave across a full day, season or outage before a single asset is commissioned.
- Peak shaving — BESS caps grid import at your demand target
- Smart charging & demand response, tested against real tariff structures
- Outage scenarios — prove ride-through and resilience targets risk-free
Peak shavingSmart chargingDemand responseOutage ride-through
Energy Flow Timeline
Live EMS telemetry — flows above zero serve the load · below zero the battery charges or power exports. Drag to pan · scroll to zoom.
Who it's for
Built for the people who carry the risk.
Data center developers
Prove power availability, cost and timeline before committing land or capital.
Engineering firms
Replace spreadsheet silos with a shared, simulation-backed model of every project.
EPC contractors
Generate construction-ready drawings from the model and cut documentation cycles 20×.
Fleet operators
Plan depot electrification, chargers and grid upgrades on the real site, with real tariffs.
Utilities
Evaluate interconnection, DER hosting and tariff scenarios on a common live model.
Infrastructure investors
Underwrite projects on simulated cash flows and sensitivities, not static assumptions.
See your project in SCOP.
Bring a site, a load profile or just a concept — we'll model it live in a working session, on an MVP you can drive yourself.