Consulting and Engineering

Energy Storage Systems (ESS) and renewable generation sources are becoming an integral part of modern industrial energy infrastructure. However, the success of such projects depends directly on the quality of engineering analysis during the early stages.

Our team provides engineering and techno-economic consulting services for projects utilizing Energy Storage Systems (ESS), solar generation, and hybrid energy hubs. We help clients determine the optimal configuration for the facility's power system, assess the economic viability of technology integration, and make informed investment decisions prior to the commencement of design and construction.

Our consulting projects are delivered for a diverse range of facilities, including industrial plants, remote sites, commercial real estate, and facilities with on-site generation. In each case, the objective is to determine how energy storage and renewable generation technologies can enhance the efficiency and reliability of the power supply.

Engineering Simulation of Microgrids

The core tool of our consulting practice is the simulation modeling of the facility's microgrid. For each project, a mathematical model is developed to replicate the power system's operation at an hourly resolution over a full year. This approach enables the evaluation of system behavior under real-world operating conditions, accounting for seasonal and diurnal variations in both generation and load.

The microgrid model incorporates:

the facility's load profile
parameters of existing generation sources
site-specific meteorological data and solar irradiance levels
technical specifications of PV modules, inverters, and energy storage systems
energy management and control algorithms

The simulation generates a detailed, hourly energy balance for the facility across the entire year. This allows for the precise determination of when power will be generated by the solar plant, when it will be stored in the battery system, and exactly when the generators must run or power must be imported from the grid.

Selecting the Optimal System Configuration

Based on the energy model, a series of parametric simulations is performed using various microgrid parameters. By adjusting the installed capacity of the PV plant, the energy storage capacity, and the control algorithms, the system configuration that maximizes economic returns can be identified.

For each scenario, key energy metrics are calculated:

annual PV plant generation
self-consumption rate of the generated power
ESS charge and discharge profiles
reduction in grid power imports or diesel fuel consumption
aggregate energy balance of the facility

Financial Assessment of Projects

Following the energy analysis, a comprehensive techno-economic assessment of the project is conducted. The model incorporates capital expenditures (CapEx) for equipment and construction, operational expenditures (OpEx), the cost of fuel or electricity, and the useful life of the equipment.

Based on this data, key investment performance metrics are calculated:

Net Present Value (NPV)
Internal Rate of Return (IRR)
Payback Period
Levelized Cost of Energy (LCOE)

This approach enables the assessment of not only the project's technical feasibility but also its long-term economic viability.

Value Delivered to the Client

Upon completion of the consulting engagement, the client receives a comprehensive techno-economic feasibility study for the integration of energy storage and renewable generation technologies.

The report includes an analysis of the facility's energy consumption, microgrid simulation results, a comparison of multiple equipment configuration scenarios, and a detailed financial assessment of the project. Based on these findings, recommendations are formulated for the optimal microgrid configuration and the subsequent phases of project implementation.

This approach substantially mitigates technical and investment risks, enabling the client to advance to the design phase with an optimally configured microgrid architecture.