

ENERGY MANAGEMENT
TRY MW-EMS DEMO ONLINE
Explore MW-EMS energy management system through an interactive online demo showcasing a simulated commercial & industrial microgrid.
The demo environment includes:
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Photovoltaic system with 550 kW peak generation
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Battery Energy Storage System (BESS): 5 units × 125 kW / 261 kWh
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Electrical load profile with up to 400 kW peak demand
The demo is designed to provide a hands-on overview of the MW-EMS user interface and its core energy management capabilities in a realistic microgrid scenario.
Access is provided in view-only mode for evaluation purposes.
The demo is hosted on secure servers located in Germany, ensuring compliance with EU infrastructure standards.
Launch demo: www.mw-ems.m-works.pro
Login: guest@m-works.pro
Password: asdf9
MW-EMS CORE
FOR MICROGRIDS
MW-EMS is a comprehensive Energy Management System for commercial and industrial microgrids, covering the full set of functions expected from modern C&I energy solutions.
Core capabilities include:
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Peak Shaving and Peak Shifting
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Load Shifting and Demand Management
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Time-of-Use (ToU) tariff optimization
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Coordinated control of PV, BESS, grid connection, and local loads
MW-EMS enables stable, transparent, and economically efficient microgrid operation by aligning energy flows with technical constraints and market conditions.
ADVANCED EMS:
DIGITAL TWINS, FORECASTING & AI
MW-EMS can be extended with advanced, model-based and data-driven functionality, including digital twins, forecasting algorithms, and AI-assisted optimization.
These capabilities enable:
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Improved utilization of on-site solar generation
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Increased revenue from energy arbitrage and flexibility services
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Reduction of production energy costs for industrial consumers
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Deeper integration of energy management into the technological process
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Higher level of automation in microgrid operation and control
Advanced EMS functionality transforms MW-EMS from a supervisory system into a decision-making and optimization platform for complex energy systems.
EMS-EV
ENERGY MANAGEMENT FOR EV CHARGING IN MICROGRIDS
EMS-EV is a specialized extension of MW-EMS designed for intelligent energy management of EV charging infrastructure within microgrids.
EMS-EV dynamically coordinates EV chargers with grid constraints, local loads, on-site generation, and battery energy storage systems to ensure safe, efficient, and economically optimal operation.
KEY CAPABILITIES
EMS-EV continuously considers:
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Grid connection limits (transformer rating or contractual power)
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Consumption of mandatory local loads
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Available power from PV systems and BESS
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Real-time operating conditions of the microgrid
Based on this data, EMS-EV calculates the maximum permissible charging power in real time and automatically allocates or limits power to EV chargers as required.
Charging stations are required to support two control interfaces: Modbus and OCPP.
Real-time power control are executed via Modbus, ensuring fast and deterministic response to changes at the site.
CUSTOMER VALUE
EMS-EV enables:
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Installation of EV charging infrastructure with total rated power exceeding the grid connection limit, while maintaining compliance with grid constraints
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Prevention of grid overloads and contractual power violations through automatic, real-time power control
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Priority-based charging, including VIP or fleet charging scenarios with guaranteed power allocation
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Optimal utilization of PV and BESS, reducing peak demand and operational costs
By integrating EV charging directly into the microgrid control logic, EMS-EV transforms charging infrastructure from a constraint into a flexible and controllable energy asset.
MICROGRID OPTIMIZATION, SIMULATION & ANALYTICS
MW-Engineering provides advanced engineering services for the design, validation, and optimization of microgrids, combining simulation, analytics, and EMS-driven operational modeling.
These services support decision-making across all project stages — from early feasibility studies to commissioning, optimization, and troubleshooting of operating systems.
Optimization & Feasibility Studies
Object-oriented modeling and scenario-based optimization enable technically sound and economically justified system design.
Key outcomes:
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Up to 20% reduction in capital expenditures (CAPEX) compared to standard rule-of-thumb equipment sizing
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Performance estimation of new equipment based on measured consumption and generation profiles
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Determination of optimal BESS power and energy capacity
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Proper sizing of grid inverters and associated electrical equipment
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Accurate feasibility studies with realistic payback period calculations, accounting for multiple technical and economic factors
Microgrid Simulation
Detailed simulations enable a comprehensive analysis of microgrid behavior under normal and abnormal operating conditions.
Simulation capabilities include:
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Analysis of power flows, short-circuit currents, harmonics, and protection behavior
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Evaluation of system response in emergency and fault scenarios
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Early detection of design errors in technical solutions and analytical calculations
Early-stage simulation significantly reduces project risk, shortens commissioning time, and lowers overall project cost.
Analytics & Performance Assessment
Advanced analytics provide deep insight into system performance, lifetime, and economic efficiency.
Key analytics functions:
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Estimation of ESS cycling, degradation, and remaining useful life
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Analysis of ESS shutdown events caused by SOC or battery voltage limits, including their impact on financial performance
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Comparison of different EMS control strategies to optimize technical and economic KPIs
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Assessment of the need for additional assets such as PV systems or backup generators, including optimal sizing
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Interpretation of results and development of actionable technical and operational recommendations
