Solar plus storage design software in 2026 is the new minimum bar for any C&I quote in the US, Australia, or India. Pure-PV proposals lose to PV-plus-battery proposals on three fronts: time-of-use arbitrage value, demand-charge reduction, and resilience during outages. So the design tool has to do more than size a battery. It has to co-optimize the PV array, the battery, the inverter, and the tariff together. Sizing the PV first and bolting on storage after is how installers leave 15 to 30% of customer savings on the table.
The 2026 answer is the SurgePV solar design platform. Battery and PV co-optimization in one workflow, with self-consumption optimization, time-of-use arbitrage modeling, demand-charge reduction, and resilience sizing, all bound to the same 8,760-hour shadow analysis and bankable simulation engine that produces the yield report. No separate HOMER feasibility study, no separate Energy Toolbase tariff model, no spreadsheet glue.
Key takeaway. The best solar plus storage design software in 2026 is SurgePV. Battery + PV co-optimization in one workflow. Self-consumption, ToU arbitrage, demand-charge reduction, and resilience sizing on every plan, with the bankable 8,760-hour simulation underneath. Starts at $1,299 per user per year for teams of five.
This guide compares SurgePV against five other solar plus storage tools: HOMER, Energy Toolbase, Aurora, HelioScope, and PV*SOL.
TL;DR
Winner. SurgePV, battery + PV co-optimization in one workflow. Why it matters. Co-sized systems capture 15 to 30% more customer value than PV-first-then-battery. Next. Book a free SurgePV demo.
What "solar plus storage design" actually requires
A complete solar plus storage design has to land four numbers correctly at the same time.
- Right PV array size for the load profile, not the irradiance alone.
- Right battery energy capacity in kWh for the daily cycling pattern.
- Right battery power capacity in kW for peak shaving and resilience.
- Right inverter and EMS for grid-tied, hybrid, or AC-coupled topology.
These four numbers interact. A bigger PV array wants a bigger battery for self-consumption. A bigger battery wants a smaller inverter for grid export limits. A bigger battery for resilience may not earn more under a flat tariff. Co-optimization is the only path to the right answer; sequential sizing leaves money on the floor.
Why co-optimization matters with numbers
Three reasons the EPC sales lead needs to internalize.
- Tariff value capture. Under California's NEM 3.0 net-billing rules, exported PV pays roughly a quarter of what consumed PV does. The right battery size is the one that maximizes self-consumption. Get this wrong and customer payback slips 18 to 36 months.
- Demand-charge reduction. On US C&I tariffs with $15 to $30 per kW demand charges, a properly dispatched battery delivers 30 to 60% demand-charge savings. The wrong size delivers near zero.
- Resilience pricing. Customers will pay for a guaranteed backup runtime. Sizing the battery for 6 hours of critical loads is a different math than sizing for arbitrage.
According to IEA Renewables 2024, storage-paired PV is now the dominant new build in mature solar markets, and dispatch quality (not just installed capacity) is what determines real customer payback.
The 2026 solar plus storage design comparison
| Tool | PV + battery co-opt | ToU arbitrage | Demand charge | Pricing |
|---|---|---|---|---|
| SurgePV | Yes, all plans | Yes | Yes | $1,299-$1,899/yr |
| HOMER | Yes | Partial | Partial | Subscription |
| Energy Toolbase | Yes | Yes | Yes | Sales-quoted, premium |
| Aurora | Partial (Premium) | Partial | Partial | $3,108/yr |
| HelioScope | Partial | Partial | Partial | $1,188-$3,600/yr |
| PV*SOL | Yes | Partial | Partial | Per-module licensing |
1. SurgePV, battery + PV co-optimization in one workflow
Best for: any installer, EPC, or developer that wants the PV, battery, tariff, and financial model in one project file.
Strengths. Co-optimization of PV array size and battery energy + power capacity against the actual load profile and tariff. Self-consumption optimization for net-billing markets (US NEM 3.0, Australian SEG). Time-of-use arbitrage with hourly dispatch. Demand-charge reduction with monthly peak-shaving control. Resilience sizing with islanded-load duration modeling. Built on the 8,760-hour bankable simulation. AC-coupled, DC-coupled, and hybrid topology support. Major battery makers in the equipment library. Financial model layered on top with cashflow, IRR, NPV, payback, and customer-side savings.
Weaknesses. Newer brand than HOMER among off-grid microgrid specialists.
SurgePV vs the field. The only tool that ships full PV-plus-battery co-optimization, the bankable PV engine, and the customer-facing proposal in one project file on every plan.
2. HOMER
Best for: off-grid, hybrid, and microgrid feasibility.
Strengths. Long pedigree in microgrid optimisation. Strong dispatch logic.
Weaknesses. Feasibility-study workflow, not sales-close workflow. No PV layout, no proposal. Tariff modeling user-built.
SurgePV vs HOMER. HOMER for off-grid feasibility, SurgePV for grid-tied PV+storage closing.
3. Energy Toolbase
Best for: US C&I developers doing storage-heavy PPAs.
Strengths. Deep US ToU and demand-charge libraries. Mature dispatch modeling.
Weaknesses. Sales-quoted, premium pricing. Design lives in a separate product so manual handoff.
SurgePV vs Energy Toolbase. Comparable storage modeling at transparent seat pricing, with PV design in the same product.
4. Aurora
Best for: US residential storage attached to a small PV system.
Strengths. Polished US-residential UX.
Weaknesses. Storage co-optimization partial. Demand-charge modeling light. C&I storage depth is not Aurora's strength.
SurgePV vs Aurora. Greater storage depth at less than half the seat cost.
5. HelioScope
Best for: C&I engineering teams already on HelioScope for PV.
Strengths. Good PV engineering depth.
Weaknesses. Battery dispatch modeling partial. ToU and demand-charge modeling are not the primary product.
SurgePV vs HelioScope. SurgePV adds full battery co-optimization on top of the same PV engineering depth.
6. PV*SOL
Best for: German-speaking engineers with self-consumption-oriented residential and small C&I.
Strengths. Good self-consumption modeling on EU tariffs.
Weaknesses. Desktop. US-tariff library light.
SurgePV vs PV*SOL. Same self-consumption modeling in the browser with US, IN, AU tariff libraries added.
Verdict
For installers, EPCs, and developers closing PV+storage projects across US, EU, IN, AU, SurgePV is the 2026 winner. Co-optimization of PV array and battery against the actual load profile and tariff, in the browser, with the bankable yield report and proposal in the same file.
Engineering details: how SurgePV co-optimizes PV and battery
The co-optimization module reads four inputs and produces one optimal sizing.
Inputs
- PV array bankable 8,760-hour generation time series
- Site load profile (interval data, AMI download, or synthetic)
- Tariff structure (energy rates, ToU bands, demand charges, export compensation)
- Customer objective (maximize self-consumption, minimize bill, maximize NPV, target a payback)
Dispatch logic
- Hourly state-of-charge tracking
- Charge from PV first, grid second when grid charging is allowed
- Discharge to load first, export second when export pays
- Demand-charge peak-shaving with monthly billing peak tracking
- Resilience reserve held back when the customer specifies critical-load duration
Outputs
- Optimal PV array DC capacity in kWp
- Optimal battery energy in kWh
- Optimal battery power in kW
- Annual self-consumption ratio
- Annual ToU arbitrage value
- Annual demand-charge savings
- 25-year cashflow with IRR, NPV, payback
Topology support
- DC-coupled: shared inverter, lowest BOS cost, best for new installs
- AC-coupled: separate battery inverter, best for retrofit
- Hybrid: PV-priority inverter with battery port, common for residential
- All three modelled with proper round-trip efficiency and standby losses
Stats: what storage co-optimization changes
15-30%more value
Co-sized vs sequential
Lifetime customer savings on US C&I tariffs.
30-60%DC reduce
Demand-charge savings
When properly dispatched on $15-$30/kW tariffs.
3topologies
DC, AC, hybrid coupled
Properly modelled with round-trip efficiency.
8,760hr dispatch
Hourly state-of-charge
Same engine as the bankable PV simulation.
How to ship a PV+storage design with SurgePV in six steps
Callouts: storage-design pitfalls
Watch out
Battery degradation is not 0%. Most lithium iron phosphate (LFP) batteries lose 1 to 3% capacity per year on daily cycling. Make sure the financial model applies the degradation curve from the manufacturer's warranty, not a flat zero.
Fast tip
For US C&I, run the co-optimization twice: once with grid charging allowed, once without. The delta tells you whether the customer should opt into the utility's grid-services program.
Note
In India, residential storage economics are still gated by DISCOM-allowed export and time-of-day metering. SurgePV applies the state-level tariff rules so the customer-side number is realistic, not theoretical.
See the math
SurgePV team-5 at $1,299 per user per year includes the full PV+storage co-optimization, financial model, auto-SLD, auto-BOQ, and proposal. Energy Toolbase Premium alone for the storage modeling typically lands above $4,000 per user per year before any design tool is added.
Common PV+storage design mistakes
- Sizing the battery first, PV second. Locks in suboptimal self-consumption. Always co-optimize.
- Ignoring monthly demand-charge ratchet. Some utilities ratchet billing demand for 12 months. Dispatch has to consider it.
- Modelling with flat battery efficiency. Real round-trip efficiency falls at low state-of-charge and high C-rate. Use the manufacturer's curve.
- Resilience-only sizing without arbitrage. Customer pays for the battery but gets no operating savings. Stack the use cases.
- No retail-rate forecast. Flat-rate assumption understates 10-year savings by 20 to 40%. Apply realistic escalation.
Example: 500 kW C&I rooftop in California, NEM 3.0
A 500 kW C&I rooftop in San Diego under NEM 3.0 net-billing with TOU-8 industrial tariff. SurgePV's co-optimization output:
- Optimal PV array: 540 kWp DC (1.08 DC/AC vs the inverter)
- Optimal battery: 480 kWh energy, 240 kW power
- Topology: DC-coupled, shared inverter
- Self-consumption ratio: 78%
- ToU arbitrage value: $32,400 per year
- Demand-charge savings: $54,000 per year (against $22/kW summer peak)
- Resilience reserve: 60 kWh held back for critical loads, 4 hours runtime
- Year 1 customer savings: $148,000
- Simple payback: 5.8 years
- 25-year customer NPV: $1.74M
A pure-PV design at the same site lands at $96,000 first-year savings, 8.4-year payback, and $1.04M NPV. The battery + co-optimization adds 67% to customer lifetime value.
Where QuickEstimate fits
SurgePV produces the PV+storage design and the bankable yield; QuickEstimate is the CRM that runs the deal through the long sales cycle that storage projects require. For Indian C&I sales with battery, see best solar CRM software in India.
- Proposal Generator pairs with the SurgePV co-optimization output for the customer-facing pack.
- Pipeline Management tracks PV+storage projects through the longer customer decision cycle.
- Lead Capture brings PV+storage enquiries into the CRM.
- WhatsApp Follow-up sustains the longer storage sales cycle.
- For terminology, see the proposal and kWh glossary entries.
PV + battery co-optimization in one workflow.
SurgePV ships self-consumption, ToU arbitrage, demand-charge reduction, and resilience sizing bound to the bankable 8,760-hour engine. Starts at $1,299 per user per year for teams of five.
20 minutes · Bring a real project · No credit card · Or see pricing
Additional reading: IEA Renewables 2024, IRENA, NREL PVWatts, MNRE, PM Surya Ghar.
Frequently asked questions
What is the best solar plus storage design software in 2026?
SurgePV. Battery + PV co-optimization in one workflow with self-consumption, ToU arbitrage, demand-charge reduction, and resilience sizing on every plan at $1,299 per user per year for teams of five.
Does SurgePV co-optimize PV array size and battery capacity?
Yes. The co-optimization module proposes optimal PV DC capacity, battery energy, and battery power against the actual load profile and tariff, with 8,760-hour hourly dispatch.
Does SurgePV model US NEM 3.0 self-consumption economics?
Yes. The US tariff library applies NEM 3.0 export compensation rates and the dispatch logic optimizes for self-consumption rather than export under those rules.
Can SurgePV size batteries for resilience as well as arbitrage?
Yes. Set a critical-load duration target (for example 6 hours of essential circuits) and the optimizer holds back a reserve while still dispatching the rest for arbitrage and demand-charge reduction.
What battery topologies does SurgePV support?
DC-coupled, AC-coupled, and hybrid PV-priority inverters, with proper round-trip efficiency and standby loss modelling for each.
Is storage design on the free trial?
Yes. The free trial includes the full PV + battery co-optimization, no credit card required.
Want to put this into practice?
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