AleaSoft platform for analysing stand-alone batteries and hybrid projects with solar and wind plants based on long-term hourly simulations, taking into account battery operation, degradation and replacement.
A platform for assessing technical and economic alternatives with a combined view of revenue, operation and financing.
Analyses wholesale market arbitrage and ancillary services, with annual results broken down by source.
Compares power, duration and battery configurations and, in solar hybrids, identifies the sizing with the highest net return.
Calculates IRR, payback period and debt service coverage ratio (DSCR), together with cash flows and financing metrics.
AleaBattery can be used to study stand-alone storage and hybrid systems with renewable generation.
Arbitrage and ancillary services revenue from a battery connected directly to the grid.
Photovoltaic energy production, grid connection capacity and storage, with a search for the optimal battery size.
Wind energy production, storage and revenue integrated into a single long-term study.
The wizard guides you through defining the scenario, the plant and the battery. You can enter exact coordinates or production data from a PVsyst report and add financial model parameters before running the calculation.
The information is structured to move from technical parameters to revenue and the economic assessment of the project.
Define the market, scenario, plant, battery, grid connection and cycling strategy.
Simulate battery operation based on hourly data, taking into account degradation, replacements and energy flows.
Analyse annual revenue and profitability results, including P10–P90 ranges, IRR and DSCR.
Set studies and configurations side by side to identify the most suitable alternative.
Analyse annual revenue results and their breakdown by source over the study horizon.
Complete the analysis with a financial model that calculates project and equity IRR, payback period and debt service coverage ratio (DSCR), with minimum and average values.
Features that bring the analysis closer to the asset's actual configuration and make it possible to compare alternatives.
In solar hybrids, compares power and duration combinations to identify the one with the highest net return, with adjustable CAPEX and OPEX.
Generates the same study without a battery and compares the results to quantify the net contribution of storage to the hybrid project.
Uses AleaSoft production scenarios, the plant's exact coordinates or production data from a PVsyst report.
Takes into account efficiency, per-cycle degradation, cycling strategies, grid charging, connection limits and replacements with their cost.
Compares several alternatives through revenue ranking, cumulative evolution, breakdown by source, energy and other project indicators.
Download tables in Excel or CSV, charts and PDF reports with the technical, economic and financial results of the study.
AleaBattery draws on AleaSoft's long-term hourly price simulations, ancillary service prices and renewable energy production scenarios. As a result, the BESS analysis starts from a market view consistent with the lifetime of the project.
Some of the questions AleaBattery can address when analysing a project.
Wholesale market arbitrage, secondary regulation, tertiary regulation and voltage control. In hybrid studies, it also includes the revenue of the renewable plant and, in the financial model, capacity market, PPA or tolling revenue can be added.
It includes project and equity IRR, payback period and debt service coverage ratio (DSCR), as well as cash flows and debt schedules.
Yes. The platform can study stand-alone batteries, hybrid projects with solar plants and hybrid projects with wind farms.
Yes. For solar projects, you can work with exact coordinates or import production from a PVsyst report, in addition to the production scenarios available in AleaBattery.
Request a demo to see how the platform works or contact our team for more information on its capabilities and applications.