Software EnerCa

A detailed analysis of the energy situation enables identification of savings potential and optimization of operations of monitored facilities. The tool provides a comprehensive view of energy consumption and financial flows associated with its usage.

• Detailed overview of consumption by energy type (electricity, gas, heat, etc.)
• Evaluation of data from interval metering (e.g. 15-minute intervals)
• Consumption simulation in cases without interval data
• Analysis of billing and energy costs

Modeling of various renewable and conventional energy sources and storage systems allows assessment of production, self-consumption, grid feed-in, and overall efficiency of individual scenarios. The system supports both standalone sources and their combinations in hybrid configurations.

• Photovoltaic and wind systems
• Cogeneration units, heat pumps
• Energy storage systems

EnerCa uses advanced optimization algorithms based on machine learning to design efficient configurations of energy systems. These algorithms allow modeling and optimizing various scenarios of production, storage, and energy sharing with respect to technical parameters, economic objectives, and regulatory constraints.

• Optimization of source base composition (e.g. PV, batteries, cogeneration)
• Optimization of energy sharing within the community
• Advanced machine learning-based algorithms

Community energy sharing enables more efficient use of locally produced electricity among multiple participants. EnerCa enables transparent energy distribution within a community, supports flexible sharing rule configurations, and considers various technical and economic scenarios.

• Static, iterative, and dynamic allocation of shared energy
• Possibility to change allocation keys based on selected periodicity (monthly, annually)
• Modeling of sharing with or without the use of the distribution network
• Creation and management of energy sharing groups

Evaluation of projects from an economic efficiency perspective is a key step in investment decision-making for decentralized energy. The software enables calculation of the optimal configuration from an investor's point of view based on investment, operational, and technical parameters of different scenarios and assesses the return on investment.

• Optimization for economic efficiency or energy self-sufficiency
• Evaluation of investment return and cash flows (e.g. NPV, IRR)
• Risk identification through sensitivity analysis