Watch Again | A Collection of Power and Energy Webinars hosted by IEEE Student Branches
Over the last few months IEEE Student Branches have organised a series of webinars relating to power and energy. These can all be watched again below.
Energy Storage: Developing Sustainable Batteries as Energy Storage Devices: Overview and Challenges – Guest Speaker: Dr Abhishek Lahiri, PhD. Hosted by the IEEE Student Branch at Brunel University London.
Abstract
Batteries in general can be categorised for applications in three scenarios (1) Portable electronics (2) Electric vehicles and household (3) Grid energy storage. In the three different applications, battery design, chemistry and battery management are going to be totally different. The challenges in the three scenarios also alter.
In this talk, an overview of different battery chemistry and the various challenges in batteries are described. This is followed by giving a brief insight into battery recycling processes and their challenges, and finally, insights and research towards developing sustainable and biocompatible batteries will be shown.
Smart Building Data-Analytics: Non-Intrusive Load Monitoring and Energy Management – Guest Speaker: Dr Yan Xu. Hosted by the IEEE Student Branch at Brunel University London.
Abstract
Modern buildings are evolving towards “Smart Buildings” with integration of distributed energy resources (DERs) and information and communication technologies (ICTs). The adoption of these new elements has been driving the buildings to a “data-intensive environment” and transform from pure energy consumers to energy prosumers (producers-and-consumers).
This seminar presents our research works for a knowledge-driven data analytics decision making support system for smart buildings energy management. The seminar covers two parts:
- Non-intrusive load monitoring, ie, to disaggregate the load profile into different appliances from a single point of measurement entry without any interruption of customer. It aims to pin-point possibilities for energy saving, demand side management, customer service improvement, etc.
- Data-driven building energy management, which can optimally manage the energy production and consumption of buildings based on data-driven machine learning techniques. It aims to increase the energy efficiency of the building systems and adaptability to different operational conditions.
Energy Storage: Grid CO2 Emissions and Steel Industry Decarbonisation – Dr Andrew Pimm, PhD, AMIMechE. Hosted by the IEEE Student Branch at Brunel University London.
Abstract
In this webinar, Dr Andrew Pimm presents some of his recent research into energy storage, covering the impacts of energy storage operation on grid CO2 emissions, and the role of storage in decarbonising the UK iron and steel industry.
To study the emissions associated with storage operation, marginal emissions factors have been calculated at regional scales using a power flow model and linear regression, and three storage operation scenarios have been used. To study steel industry decarbonisation, a thermodynamic process model of hydrogen-based steel-making has been implemented, and a long-term energy system optimisation tool has been developed.
