Energy is the driving force behind global economic development. Developed nations have relied on natural resources such as oil and coal to fuel their growth, however, we clearly recognize the current path of depleting these non-renewable resources we face today is not a sustainable path for our future. In the U.S., energy-focused regulations are largely shaping behaviors within our government. Federal agencies are taking bold steps to reduce facility and operational energy consumption and transition to renewable energy sources that increase energy security, reduce energy consumption, decrease carbon footprint, and provide clean energy for the benefit of future generations. State governments, utilities and private enterprises alike are joining the path toward renewables and embracing smart grids, control technologies and strategies to incentivize and increase energy conservation in homes and industrial facilities.
At HGL, we recognize that energy production and distribution is increasingly complex to manage. PBMO™ can assist decision makers and managers in optimizing outcomes for emerging smart grid technologies and create operating procedures that maximize outcomes for the mixture of existing power production systems and renewables. The PBMO™ Toolkit supports an optimal dispatch program for regional grid operations using an automated, adaptive, and self-learning electric power predictive response module. The Toolkit contains a Program Management module to guide program and project managers in technology investments. This module was recently used by the Department of Energy to support optimal selection of technology components for low greenhouse gas power plant design. The Toolkit has also been used to provide economic value analysis of integrating renewable energy sources into an existing electrical grid.
See how the PBMO™ toolkit can assist your company in optimizing outcomes for emerging smart grid technologies and create operating procedures that maximize outcomes for the mixture of existing power production systems and renewables.
- Optimizing Power Generation “Spin Up” and Online Times to Meet Fluctuating Demands
- Balancing Loads Between Various Sources of Power
- Optimizing the Mixture of Renewable Power Sources with Traditional Technologies
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