Saving energy costs thanks to predictive power distribution and procurement
Complete solution from enisyst uses AI-based control to optimize the operation of building energy systems and uses flexibility from battery storage, electric vehicles and heat pumps to significantly reduce electricity costs.
News | November 2024
In recent years, energy prices have risen significantly in some cases and remain at a high level to this day, which can represent a noticeable burden for companies and users. In this context, making energy consumption more flexible can play a key role in reducing electricity generation and distribution costs. In the future, dynamic electricity tariffs, particularly in combination with stationary battery storage and the charging of e-vehicles, will offer an increased incentive. Furthermore, the intelligent integration of systems such as photovoltaic systems (PV) and heat pumps offers additional cost benefits as well as the possibility of greater self-sufficiency in one’s own heat and power supply.
To fully exploit this potential, intelligent, forward-looking charging load management is a great advantage.
Our intelligent operational optimization for building energy systems sets new standards in the efficient use and control of energy. By combining advanced technologies and a modular, AI-based architecture, our system enables precise predictions of heat and electricity demand as well as PV power generation. It is flexibly adaptable to different application scenarios and uses robust, adaptive algorithms to maximize efficiency for a wide range of system combinations.
By optimizing the overall system, the possibilities of flexible electricity tariffs and self-generated electricity are optimally exploited. This not only leads to significant cost savings compared to conventional, unregulated operating modes, but also makes an active contribution to reducing CO₂ emissions. The intelligent combination and control of energy systems such as photovoltaic systems, battery storage and heat pumps as well as the use of dynamic electricity tariffs enable a significant reduction in electricity procurement costs. In optimal system combinations, a reduction in electricity procurement costs of up to 30% is possible.
These savings also create new opportunities in the field of electromobility: Electric vehicles can be charged cost-effectively and be on the road at very favorable conditions – in the best case for less than €2 per 100 kilometers.
Our system is the ideal solution for companies, building managers and owners who not only want to reduce their operating costs, but also act in a sustainable and environmentally friendly manner.
Studies show that intelligent charging load management such as eni.charge can offer considerable financial and energy benefits. Thanks to the high flexibility offered by battery storage, electric vehicles and heat pumps, electricity costs can be reduced and grid loads minimized.
The Potential of Vehicle-to-Home Integration for Residential Prosumers: A Case Study (PDF)
