Embedded network optimisation
Tariff validation and energy strategy for new-build, multi-tenant site
Client
A new-build, mixed-use embedded network with multiple tenants, shared infrastructure, and complex billing arrangements.
Challenge
The client needed to validate billing accuracy across tenants and identify opportunities to reduce energy costs and improve load flexibility — all while navigating complex network and retail tariffs.
To get buy-in for new technologies requires a solid business case evaluating the options...
“What is possible?
What sand-box should we be playing in?
What is the cost of doing things the old way vs trying something new?”
Approach
Deep Energy AI ingested physics-based modelling load data and applied its tariff engine to validate charges interval by interval.
Scenario modelling tested solar PV, battery storage, and HVAC controls under multiple tariff structures — including wholesale pass-through and retail peak/shoulder pricing.
Scenario modelling tested solar PV, battery storage, and HVAC controls under multiple tariff structures — including wholesale pass-through and retail peak/shoulder pricing.
Outcome
The analysis identified billing discrepancies and uncovered a 28% cost reduction opportunity through tariff optimization and flexible load strategies.
The client used the outputs to renegotiate supply contracts and plan staged upgrades to shared infrastructure.
The client used the outputs to renegotiate supply contracts and plan staged upgrades to shared infrastructure.
Results
Optimal load profile + embedded network + solar PV 200kW =
- 10-Yr: $2.59 Million NPV, 3.65 BCR. And
- 50-Yr $4.28 Million NPV, 2.79 NPV.
Deep Energy produced fully simulated yearly outputs from input variables. In addition to mutated load profiles, a flexible load analysis, costs & tariff analysis, the key output is the 10 & 50 year benefit-cost-ratio (BCR) and net-present value (NPV) cash flow tables for each scenario simulated.
Financial report outputs enabled the top benefit options to be realised enabling the energy consultant to get buy-in from key stakeholders for further detailed physics based modelling of technologies depending on design variables, architectural massing, insulation, air-tightness, fenestrations, plug loads, use cases and resultant HVAC system selection. And, engineers to enter into negotiations with the network operator, Evoenergy to push for a HV connection rather than several LV connections to, enable WSP participation, and reduce demand charges via the HV tariff.
Financial report outputs enabled the top benefit options to be realised enabling the energy consultant to get buy-in from key stakeholders for further detailed physics based modelling of technologies depending on design variables, architectural massing, insulation, air-tightness, fenestrations, plug loads, use cases and resultant HVAC system selection. And, engineers to enter into negotiations with the network operator, Evoenergy to push for a HV connection rather than several LV connections to, enable WSP participation, and reduce demand charges via the HV tariff.
