Products

The Scoville platform provides a unified probabilistic view of energy portfolios. All underlying variables are realistically coupled to produce accurate cash flow distributions in relation to key underlying price and weather drivers, allowing end users to set the interaction assets and hedges.

Proprietary dispatch engines in tandem with the Scoville spot simulation technology yields realistic distributions of cash flows and operational statistics at all time scales, including the effects of a wide array of asset specifications. In addition, intrinsic value and a variety of bucket dispatch approximations are automatically produced to enhance transparency in the origin of asset margins.

The Scoville BESS analytics suite dispatches assets against hourly price simulations at the asset node. The coupled nature of the simulations across locations allows for rigorous testing of potential hedging strategies using TB or solar/ramp futures. Tracking of historical performance versus future estimates  are seamlessly integrated into financial models accessible via a web portal.

Volumetric uncertainty is inherent in renewable asset portfolios. The Scoville platform uses proprietary technology developed under an ARPA-E research program to stochastically simulate asset production at the hourly or sub-hourly time-scale. Production across multiple assets is realistically correlated and fits seamlessly into broader portfolios, including the interaction with associated loads and storage assets.

Analysis of storage and transport assets is based upon Scoville’s unified simulation platform, facilitating both individual asset valuation and analysis of the collective behavior of multiple assets and temperature driven customer/utility usage. Asset specifications span a broad array of constraints and allow for multiple injection and receipt points. All results include spot dynamics that is consistent with prevailing market prices and which incorporate weather forecasts.

Retail electricity and natural gas portfolios are analyzed by account to ensure maximum accuracy of valuation, risk and forecasting results. Utilizing the Scoville simulation framework, all results are weather-normalized and probabilistic, allowing end-users the ability to see results from individual customers to cash flow distributions by portfolio, RTO or utility.

The trade simulation lab sits at the apex of the Scoville platform, unifying all components of a client’s portfolio and allowing dynamic interaction with the results. Users can select any cross-section of a portfolio and then experiment with potential hedge strategies or asset additions, seeing the impact in graphical form and downloadable for off-line statistical analysis and presentation.

Scoville's live pricing engines afford end-users the ability to launch pricing requestions for prospective assets/transactions via a web portal or sftp. Submissions are detected and rapidly processed via parallelized processing to produce results rapidly. Coverage includes natural gas storage and transport, generation, BESS and retail electricity transactions.

Scoville’s platform has been tailored to the unique requirements of data center developers and operators, including the simulation of future loads based on short historical data sets and high ramp rates to yield realistic budgets and risk exposures. Portfolio analysis includes supply deals, associated behind-the-meter assets and tariff-based costs.

Scoville’s platform is ideal for bespoke situations — from the analysis of structured hedges of physical assets to the valuation of potential retail portfolio acquisition. In all cases, Scoville constructs a “simulation universe” tailored to the project at hand to produce realistic valuation and risk metrics. This allows developers, lenders and sponsors alike to systematically study potential transactions, identify weak spots and adjust transaction structures accordingly.