BTM-Optimize helps data center and renewable developers decide whether behind-the-meter generation can rescue, phase, or de-risk a project before interconnection delays, utility capacity limits, and equipment lead times kill the schedule.
Behind-the-meter power is no longer only an optimization exercise. In constrained markets, it can be the difference between a project that energizes and a project that dies in the queue.
Model phased load, partial utility service, construction milestones, and the minimum power stack required to avoid stranded buildings and idle capital.
Compare gas, solar, BESS, fuel logistics, dual-fuel options, bridge-power contracts, emissions constraints, and equipment lead times together.
Give lenders, hyperscale tenants, offtakers, utilities, EPCs, and investment committees a traceable case for why the power plan works.
If the utility can serve the full load on your required date, this is overkill. If the project economics depend on energizing before the grid catches up, the power stack needs to be modeled as a development risk, not a procurement line item.
Serve critical IT load while utility upgrades, transformers, or transmission service lag the construction schedule.
Evaluate whether a stranded or delayed generation project can become useful behind a customer meter.
Screen on-site generation and storage when a new line, substation, or service upgrade sits years out.
Stress-test load, fuel, tariff, interconnection, equipment, and policy assumptions before the model becomes the investment case.
BTM-Optimize models the uncertain envelope around a constrained project: what power is available, what load must be served, what equipment can arrive, what fuel can be delivered, and what the economics look like when the optimistic path fails.
Artifacts for the rooms where the project either gets saved or dies: investment committee, utility negotiation, EPC scoping, lender diligence, and offtake conversations.
A fast read on whether BTM power is plausible, what gap it must close, and what assumptions are most likely to break the project.
Scenario-based sizing for grid import, gas generation, solar, storage, backup, fuel supply, and phased load service.
A plain-English decision package with economics, risk register, schedule exposure, key sensitivities, and recommended next actions.
Translate the project’s grid dependency, flexible load posture, import requirements, and BTM assumptions into a clearer utility conversation.
Define the power-system assumptions that need validation before procurement starts: equipment, interconnection, controls, fuel, and sequencing.
Repo, notebooks, inputs, scenario runs, and methodology notes so your team can rerun the analysis as the utility, tariff, or equipment picture changes.
The point is not to sell a generator or produce a pretty feasibility PDF. The point is to decide whether the project survives under real uncertainty.
| Wait for utility service | OEM / EPC feasibility deck | Generalist consulting microgrid study | BTM-Optimize | |
|---|---|---|---|---|
| Primary questionWhat decision does it answer? | When can the grid serve me? | What can you sell me? | Can a microgrid work? | Can this project energize and survive? |
| Schedule riskInterconnection + equipment timing | Acknowledged, rarely solved | Narrow equipment view | Usually high-level | Modeled as a core variable |
| Economic outputDecision-ready finance | No BTM economics | Capex-forward | Often static case | NPV, IRR, regret, delay value |
| Technology biasWho benefits from the answer? | Utility process | Vendor portfolio | Consultant method | Project owner decision |
| HandoffCan your team rerun it? | No | No | Depends | Repo, inputs, runs, docs |
Start with the smallest useful answer. Expand only if the project deserves deeper work.
A fast viability pass for one site, one load profile, and one constrained utility-service assumption.
Scenario-based techno-economic model for a project with material power-delivery risk.
Full diligence support for projects where BTM power is central to the development case.