en.Wedoany.com Reported - Spanish consulting firm Agere Energy & Infrastructure Partners has launched BESO 2.0 (Battery Energy Storage Optimizer), an Excel-based platform designed to support the analysis and optimization of energy storage projects.
According to the company, the tool reduces modeling processes that typically take days or weeks to just minutes, supporting project evaluations from preliminary feasibility studies to final investment decisions. One of its core features is the automatic sizing of energy storage systems, evaluating hundreds of power and energy capacity combinations to identify configurations that maximize financial metrics such as net present value (NPV) and internal rate of return (IRR).
BESO 2.0 supports standalone battery projects, as well as hybrid and tri-hybrid configurations combining storage with solar, wind, or hydropower assets, allowing users to set separate temporal and financial parameters for each technology. The software performs hourly simulations over the entire operational life of the asset, rather than relying on representative years, and accounts for battery degradation, round-trip efficiency (RTE), state of charge (SoC), state of health (SoH), and grid import and export limits at the interconnection point.
The company states that its methodology employs Monte Carlo simulations to assess the economic value of storage flexibility. Storage revenues depend on periods of market volatility rather than average electricity prices. Instead of applying a single hourly price curve, the platform generates multiple price trajectories to reflect different market conditions. Monte Carlo simulations also enable probabilistic risk analysis, producing result distributions and metrics such as P10, P50, P90, value at risk (VaR), conditional value at risk (CVaR), and the Sharpe ratio, rather than a single NPV or IRR value. This approach targets lenders and investors seeking more detailed project risk assessments and can be used to evaluate the probability of achieving a positive NPV, the impact of price volatility on returns, and the effects of different power purchase agreement (PPA) structures on project economics.
Price simulations are generated using Agere's electricity price forecasting service VIVO Price, which combines hydro coordination modeling, unit commitment simulations, and Monte Carlo analysis, considering uncertainties in demand, generation capacity, storage deployment, renewable energy availability, fuel prices, carbon allowance costs, interconnection line flows, and unit outages. The generated scenarios are calibrated against electricity market futures curves and categorized into low, medium, and high market conditions. The platform also supports seven types of offtake and flexibility agreements, including tolling, baseload, min-max, collar, shaped, contract for difference (CfD), and pay-as-produced arrangements.
Unlike many cloud-based platforms, BESO 2.0 operates entirely within Microsoft Excel and runs locally on the user's computer. The company states that this simplifies auditing, reduces training requirements, and allows data to remain within the corporate IT environment. Subscription plans range from €390 to €2,490 per month, depending on project portfolio size, project complexity, and the number of users.
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