Utility Scale BESS

EMS operations encompass the activities facilitated or enhancements achieved through EMS capabilities, involving personnel such as facilities staff, operators, energy managers, and building occupants who utilize EMS to optimize the building, campus, or agency. It is important to note that EMS are tools that require human involvement, and savings will only be generated if individuals take action and implement the energy conservation measures identified by EMS.

Until the early 1990s, it was customary for EMS systems to be provided with proprietary hardware and operating systems. During that time, companies like Harris Controls (now GE), Hitachi, Cebyc, Control Data Corporation, Siemens, and Toshiba produced their own distinct hardware platforms. EMS providers who did not produce their own hardware frequently depended on products designed by Digital Equipment, Gould Electronics, and MODCOMP. One particular favored option among certain EMS suppliers was the VAX 11/780 manufactured by Digital Equipment. In the present, EMS systems depend on a model-based approach. Previously, traditional planning models and EMS models were maintained as separate entities and rarely aligned with each other. The utilization of EMS software enables planners and operators to utilize a shared model, thereby minimizing discrepancies between the two parties and reducing model maintenance efforts by 50%. Additionally, the presence of a unified user interface facilitates seamless information transfer from planning to operations.

Sector coupling, often referred to as the integration and synchronization of distinct energy sectors such as electricity, heat, and mobility, strives to optimize overall energy efficiency while promoting the incorporation of renewable energy sources. As a crucial element of sector coupling, the process of electrification entails substituting fossil fuel-driven technologies with electric alternatives in order to achieve cost savings and mitigate greenhouse gas emissions.

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Until the early 1990s, it was customary for EMS systems to be provided with proprietary hardware and operating systems. During that time, companies like Harris Controls (now GE), Hitachi, Cebyc, Control Data Corporation, Siemens, and Toshiba produced their own distinct hardware platforms. EMS providers who did not produce their own hardware frequently depended on products designed by Digital Equipment, Gould Electronics, and MODCOMP. One particular favored option among certain EMS suppliers was the VAX 11/780 manufactured by Digital Equipment. In the present, EMS systems depend on a model-based approach. Previously, traditional planning models and EMS models were maintained as separate entities and rarely aligned with each other. The utilization of EMS software enables planners and operators to utilize a shared model, thereby minimizing discrepancies between the two parties and reducing model maintenance efforts by 50%. Additionally, the presence of a unified user interface facilitates seamless information transfer from planning to operations.

FlexGen's Energy Management System (EMS) software gathers energy data, conducts a comparison of these metrics across different locations, and assesses their effectiveness in relation to industry benchmarks. The software is capable of connecting to the gas and electricity markets, enabling it to procure daily pricing information from key energy indices. Additionally, it aids in budget oversight and the ability to forecast energy expenses.

The EMS system arranges this data in a manner that allows for easy visualization of energy usage according to specific locations such as plants, warehouses, offices, or stores. Consequently, tracking changes over time and generating regular reports for all stakeholders becomes a straightforward task.

The EMS stack comprises various components, including devices, data services, and applications, which are tailored to cater to the user's requirements. The specific composition of the stack may vary based on the implementation of the EMS.

By employing sophisticated algorithms, the EMS enhances charging timetables by considering variables such as capacity tariffs, travel needs, and grid circumstances, resulting in decreased operational expenses and enhanced energy efficacy. When it comes to bidirectional charging, the EMS strategically manages the charging and discharging of electric vehicles based on local supply and demand, electricity prices, and other relevant factors in order to minimize expenses, maximize independence, and stabilize the grid.