Data Analysis and System Modelling - Engineering Assignment Help

Assignment Task

Area: Community energy, renewable energy Sub-area: Simulation and modelling Nature of project: To develop tools for assessment of community energy deployment Distinctive skills gained as a result of the project: Data analysis and system modelling, energy management strategies, Matlab simulation and programming. 

Project description The electrical distribution system is and will be experiencing challenges for the foreseeable future due to the uptake of local generation and changes to consumption behaviour. Solar panels have seen significant deployment in communities recently and loads such as electrical vehicles and electric heating and cooling are set to increase significantly in future. These mostly time dependent energy systems will challenge the distribution network in peak load capability, reverse power flow and other characteristics such as power quality as their use increases. Options to increase the local capabilities and alleviate stress on the network include the use of energy storage, such as lithium ion batteries or thermal storage. The intention for projects will be to investigate the application of this technology and management strategies for improved electrical distribution at the household and community levels determining if it can be beneficial to a domestic residence or grid operator. 
 

Typically projects will;

• Research data sources and models for energy systems. Use existing tools and data sets to generate profiles of properties. Research energy management methods, energy storage sizing, tariffs and commercial options.

• Develop an algorithm to manage the charging and discharging of battery energy storage. Use Matlab to work on profiles, evaluate algorithms and determine optimal battery sizing. In addition, this work has the option to:

• Identify and collate new relevant energy profiles. Develop more realistic and usable energy system models

• Develop models of electrical vehicles to provide relevant charging profiles

• Develop models of heating to provide relevant electrical profiles

• Study the use of demand side management alongside energy storage 

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