Profit analysis related to energy storage

How do I evaluate potential revenue streams from energy storage assets?

Evaluating potential revenue streams from flexible assets, such as energy storage systems, is not simple. Investors need to consider the various value pools available to a storage asset, including wholesale, grid services, and capacity markets, as well as the inherent volatility of the prices of each (see sidebar, “Glossary”).

Is energy storage a profitable business model?

Although academic analysis finds that business models for energy storage are largely unprofitable, annual deployment of storage capacity is globally on the rise (IEA, 2020). One reason may be generous subsidy support and non-financial drivers like a first-mover advantage (Wood Mackenzie, 2019).

How can energy storage be profitable?

Where a profitable application of energy storage requires saving of costs or deferral of investments, direct mechanisms, such as subsidies and rebates, will be effective. For applications dependent on price arbitrage, the existence and access to variable market prices are essential.

Do investors underestimate the value of energy storage?

While energy storage is already being deployed to support grids across major power markets, new McKinsey analysis suggests investors often underestimate the value of energy storage in their business cases.

Why should you invest in energy storage?

Investment in energy storage can enable them to meet the contracted amount of electricity more accurately and avoid penalties charged for deviations. Revenue streams are decisive to distinguish business models when one application applies to the same market role multiple times.

How can a residential customer make profit from selling energy?

The proposed model optimally schedule the selling and buying of energy to maximize the revenues. Residential customer can make profit from selling energy to the grid; when the electricity prices are high. Hourly revenues of the different investigated models are shown in Fig. 4. Fig. 4. Hourly revenues of the three investigated scenarios.