Simulation of renewable plants with AI and business plan
NRGWeave Plant Simulator is the first platform that combines technical simulation, financial analysis and artificial intelligence for renewable plants in the Italian context. Starting from the coordinates of a site, the system automatically analyzes the TMY climate data (solar irradiation, wind profile, temperature) and generates a professional report with an evaluation of the energy potential. The user selects components from real catalogs — PV panels (18 models), HAWT and VAWT wind turbines (20 models), inverters (8 models), and batteries (8 models) — and the simulator calculates annual hourly production (8,760 hours), detailed CAPEX, 25-year cash flow with three scenarios (optimistic, baseline, pessimistic), NPV, IRR, Payback, LCOE, and ROI. The AI Equipment Optimizer analyzes site conditions and recommends the optimal configuration to maximize financial return, with the possibility of interactive dialogue: the user can give specific instructions (budget, technology preferences, IRR targets) and the AI recalculates the recommendations. All integrated with the Italian GME market zones (real zonal prices), the Renewable Energy Communities (GSE premium tariff, shared energy) and tax deductions. Simulations can be saved, resumed, compared and exported as professional reports.
Everything you need to get the most out of this module.
Automatic analysis of TMY data from Open-Meteo: GHI, DNI, wind profile at 10m and 80m, temperature, cloud cover. AI-generated narrative report assessing the site's solar and wind potential.
18 PV panels (from 345W to 660W, mono/poly/HJT/bifacial), 20 wind turbines (HAWT from 225kW to 8MW + 4 VAWT for urban contexts), 8 inverters and 8 batteries with complete technical specifications.
The AI analyzes site climate conditions and financial KPIs from the current simulation, then recommends the optimal configuration from catalogs to maximize NPV, IRR and minimize payback. Separate technical and financial analysis with comparative graphs.
The user can guide the re-optimization with specific instructions: "I prefer VAWT turbines", "max budget 5M EUR", "target IRR > 12%". AI integrates constraints and recalculates recommendations, explaining trade-offs.
Cash flow year by year with three scenarios (optimistic/basic/pessimistic), production degradation, NPV, IRR, Payback, LCOE, ROI, CAPEX breakdown (PV/wind/storage/installation). Integration of GME zonal prices and Italian tax deductions.
Simulation of the GSE premium tariff for Renewable Energy Communities, shared energy calculation, valorisation fee, producer/consumer/management split. Direct impact on NPV and cash flow.
Automatic System Design: calculation of number of panels, strings, Voc, optimal inverter choice, battery recommendation. Complete photovoltaic layout with area, weight and electrical configuration.
Save simulations with all data (configuration, results, site assessment, AI optimization). Resume, modify, compare alternative configurations for the same site.
Real scenarios where this module makes the difference.
An engineer receives a request to evaluate land for a 1 MW PV system. In 5 minutes you have: climate analysis, choice of optimal panels/inverters from the AI, business plan with NPV and IRR, and the system project with strings and layout. Export the report for the customer.
An energy manager must decide between pure PV, PV+storage or wind for the company site. Save three simulations with different configurations, compare financial KPIs and present the business case with ROI and payback for each scenario to the board.
The representative of an Energy Community must size the shared system. The simulator calculates the GSE premium rate, estimated shared energy, and the impact on members' bills. AI suggests the optimal size to maximize the incentive.
Create your account and start managing energy trading with intelligence.