Week 9 Challenge

An Energy Management System (EMS) is a system that helps organizations manage their energy use more efficiently by tracking, analyzing, and controlling energy consumption. An EMS typically includes hardware and software components that collect data on energy use and provide insights on how to optimize energy consumption. It can be used by organizations of all sizes and across various industries to reduce energy costs, improve energy efficiency, and reduce environmental impact.

The main components of an EMS typically include energy monitoring and data analysis tools, energy control systems, and reporting and visualization tools. These components work together to provide a comprehensive view of energy use across an organization and enable energy managers to identify areas of inefficiency and take action to reduce energy consumption.

Some of the key benefits of implementing an EMS include:

Lower energy costs: By identifying areas of inefficiency and implementing energy-saving measures, organizations can reduce their energy costs and save money on their energy bills.

Improved energy efficiency: An EMS can help organizations optimize their energy use by identifying opportunities for energy savings and providing real-time feedback on energy use.

Reduced environmental impact: By reducing energy consumption, organizations can reduce their carbon footprint and contribute to a more sustainable future.

Enhanced operational efficiency: An EMS can help organizations optimize their energy use by providing insights on equipment performance and identifying areas where maintenance or upgrades may be needed.

Define the power demand (in kW) over the simulation time period (up to 598 seconds).

Define the specifications of the battery, UC, and fuel cell, including their maximum power output (in kW), capacity (in kWh), and efficiency.

Implement a control strategy that determines how the power demand will be distributed among the battery, UC, and fuel cell.

Monitor the state of charge (SOC) of the battery to ensure that it stays within safe operating limits (typically between 20% and 80% SOC).

When the power demand is low, use excess power from the UC and/or fuel cell to charge the battery.

When the power demand is high and the battery is unable to meet the demand, use power from the UC and/or fuel cell to supplement the battery output.

When the power demand is very high, use power from both the UC and fuel cell to meet the demand.

Continuously monitor the system to ensure that it is operating within safe operating limits and adjust the power distribution strategy as necessary.

The output of the model should be the power request from UC, fuel cell, and battery at each time step. This will allow you to monitor the performance of the system and make adjustments as necessary to optimize its operation.

this is a basic model, and there are many other factors that may need to be considered depending on your specific application. For example, you may need to consider the impact of temperature on the performance of the battery and fuel cell, or the impact of changes in the power demand over time. Additionally, you may need to implement more advanced control strategies to optimize the performance of the system.

Power flow procces in EMS system:

Here is a basic flowchart of the power flow process in an Energy Management System (EMS):

Energy generation: Power is generated by power plants or renewable sources such as solar panels, wind turbines, or fuel cells.

Energy transmission: The power is transmitted from the generation source to the local substation through transmission lines or other means.

Energy distribution: The power is distributed to the end-users through distribution lines and transformers.

Energy consumption: The end-users consume the power to power their equipment and facilities.

Energy monitoring: The EMS monitors the energy consumption and other relevant data such as temperature, humidity, and occupancy.

Data analysis: The EMS analyzes the data to identify areas of inefficiency and opportunities for improvement.

Energy optimization: The EMS uses the data to optimize energy consumption by adjusting equipment settings, scheduling maintenance, and implementing energy-saving measures.

Energy storage: The EMS may include energy storage systems such as batteries or flywheels to store excess energy generated during low-demand periods and discharge it during high-demand periods.

Reporting: The EMS generates reports and visualizations to help energy managers understand energy consumption patterns and identify opportunities for improvement.

Continuous improvement: The EMS is a continuous improvement process, with energy managers using the insights gained from the system to make ongoing improvements to energy management practices

Power Sharing :

• Here The fuel cells having a range of operating condition to produce the power needed for propulsion.
• Here we are taking fuel cell with have capability to produce power in the range of minimum 23KW to maximum 72KW.
• But for better effeciency of fuel cell power usage it is derived that fuel cells will operate at maximum efficiency in moderate power generation area as seen from polarization curve.
• So we are considering lesser power production level for maximum fuel cell power generation as 55KW.
• The Batteries are prefered to operate in lower power demand conditions and ultracapacitors are prefered to operate in peak power demands.
• So we are get the final power sharing between three components as
• From 0 to 23 KW is drawn from battery unit based on its SOC condition.
• Above 23KW to 55KW will be drawn from fuel cell power.
• And above 55KW will be drawn from ultracapacitors based on its SOC condition.
• So If SOC of UC is not enough to supply required power demand in that case the power is drawn from battery as battery backup.
• If SOC of battery and UC are not enough to supply power demand in that case alternate source is only fuel cell.
• Here the Power is drawn from fuel cell as fuel cell backup.
• But at this operating conditions the overall efficieny of vehicle is reduced as fuel cell cant support with full efficiency for peak power demands and lesser power demands.

Power demand Condition Source

If UC-SOC >35% Ultra Capacitor

1) 0-9999

If UC-SOC <35% Fuel cell Battery

If Battery SOC>35% Battery

2) 10000-22999

IF SOC<35% Fuel cell

3) 23000 54999 No condition Fuel cell

If UC-SOC UltraCapacitor

4) 55000 and >35%

above

If UC-SOC <35% Fuel cell

• Here In propulsion subsystem positive power the power demand is tested for three components UC Fuel cell and Battery based on their operating ranges using interval test block as shown below
• For fuel cell test operating range set as from above 23KW to 55KW.

• Here If the condition is true then the output of this block is 1
• So This output is checked with a switch block as input where if the input is 1 then this positive power is considered as fuel cell power request.
• For ultracapacitor test operating range set as from above 55KW.

3) UC_low test:

• Here If the condition is true then the output of this block is 1.
• Then This output is checked with a switch block as input where if the input is 1 then this positive power is again checked for UC_SOC condition
• If the SOC of UC is >= its minimum value then this positive power is considered as ultracapacitor power request.
• For battery test operating range set as from 0 to 23KW

4) Battery_test

• If the condition is true then the output of this block is 1.
• Then This output is checked with a switch block as input where if the input is 1 then this positive power is again checked for battery SOC condition
• So If the SOC of battery is >= its minimum value then this positive power is considered as battery power request