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In a competitive business environment, minimizing electricity costs offers a real competitive advantage. Piecemeal approaches to reduce those costs abound, but they leave money on the table. A comprehensive approach that leverages both the purchase of the customer's electricity supply and the active management of the customer’s load is far more effective.
The comprehensive approach combines three key building blocks:
- Developing the customer's capability to actively, intelligently, and conveniently manage its load;
- Maximizing benefits to the customer from managing its electric load
- Reducing the "pass-through" components of the customer's electric bill – charges that are set externally and which are largely outside the supplier's control.
Together, these strategies offer customers the greatest opportunity to reduce their energy cost without compromising fundamental business priorities.
Full Spectrum Solution
The ability to achieve this comprehensive approach depends on several elements:
- Having the ability to forecast transient peaks and dips in wholesale energy prices
- Knowing how customer assets can be deployed to prepare for those transient opportunities
- Understanding how the wholesale markets are designed and how they work in practice
- Using technology to support forecasting, to plan the necessary deployments of customer assets, and to take the appropriate actions in the markets
- Using telecommunications and automation technologies to enable the customer to deploy its resources for maximum advantage, without disrupting its business and without imposing burdens on facility staff
Viridity Energy ties all these elements together through our VPower™ software engine, putting control over energy spend into our clients’ hands.
Viridity Enables Customers to
- Optimize energy usage on a real-time basis to maximize energy savings
- Unlock new revenue streams through existing energy assets
- Use the wholesale markets as a pricing mechanism
- Distill complexity into a business focus that shows a simple value for each hour of each day of each month
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