Research Associate (Electrical & Electronics Engineering / Computer Science / Engineering)

A Research Associate position is available in the Centre for System Intelligence and Efficiency, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore.

This project focuses on addressing the implementation challenges through

1) Developing a more sophisticated forecast/prediction algorithm for solar and load demand which includes EVs, to better manage and reduce renewable energy generation uncertainties for operators/customers

2) Remotely connecting and integrating multiple energy sources (solar panels, batteries, and generators), to provide more potential revenue options for individual customers, and improve the overall flexibility and redundancy at the aggregated region/national level

3) Designing and implementing an AI-enabled platform interface, to dynamically manage the overall aggregated systems-of-systems complexity and achieve cost reduction through the business economy of scale. This results in affordable and bankable clean energy solutions for the public.

Sunseap will pilot the implementation with its existing partners/customers.

Job Description:

The Research Associate will work on a project to conduct the research on the literature review and the development of the optimization and forecasting algorithms and the decision-making function for controlling and integrating the battery energy storage system with consideration of demand side management. They include the design and coding of the software modules for:

• Real-time control decision-making/optimization tool with matured PV and load forecasting algorithms

• Distributed energy storage batteries integration and management

• Peer-to-peer (P2P) energy trading based on Ethereum

• Conduct the research on the development of the decision-making function which performs optimal dispatch of distributed energy resources (DERs) which include storage batteries, renewable solar PV systems and standby diesel generators (reserve only) for participation in the reserve market, frequency regulation market and peer-to-peer energy trading among the buildings with demand side management capabilities

• Develop methodologies for forecasting load and solar PV output, for scheduling of DERs as well as for a P2P energy trading platform; design smart contracts for P2P energy trading; propose a cost-effective and scalable network architecture to support Ethereum; and introduce a novel incentive mechanism to promote P2P energy trading

Job Requirements:

• MEng/MSc degree in Electrical and Electronics Engineering or Computer Science/Engineering for the Research Associate position

• Expert knowledge in power electronics converters and power systems especially in the design of distributed energy resources, forecasting and frequency regulation controller for electricity market participation

• Hardware experience will aid in the execution of the project

• Experience with energy storage systems, renewable energy resources, electric vehicles and/or OPAL-RT is highly recommended

• Excellent verbal and written communication skills in English

• Strong analytical and conceptual abilities

• Able to work independently and in a team to realize the proposed works

• Able to publish conference/journal papers and commit 6 months of your time in the project. Our project ends on 31 March 2023

• Able to present effectively the work accomplished to EMA and ESG representatives

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

In line with Singapore’s nationwide Vaccination-Differentiated Safe Management Measures (VDS), employees must be fully vaccinated to return to the workplace, unless certified to be medically ineligible. For Information on VDS, please click here .

A Research Associate position is available in the Centre for System Intelligence and Efficiency, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore.

This project focuses on addressing the implementation challenges through

1) Developing a more sophisticated forecast/prediction algorithm for solar and load demand which includes EVs, to better manage and reduce renewable energy generation uncertainties for operators/customers

2) Remotely connecting and integrating multiple energy sources (solar panels, batteries, and generators), to provide more potential revenue options for individual customers, and improve the overall flexibility and redundancy at the aggregated region/national level

3) Designing and implementing an AI-enabled platform interface, to dynamically manage the overall aggregated systems-of-systems complexity and achieve cost reduction through the business economy of scale. This results in affordable and bankable clean energy solutions for the public.

Sunseap will pilot the implementation with its existing partners/customers.

Job Description:

The Research Associate will work on a project to conduct the research on the literature review and the development of the optimization and forecasting algorithms and the decision-making function for controlling and integrating the battery energy storage system with consideration of demand side management. They include the design and coding of the software modules for:

• Real-time control decision-making/optimization tool with matured PV and load forecasting algorithms

• Distributed energy storage batteries integration and management

• Peer-to-peer (P2P) energy trading based on Ethereum

• Conduct the research on the development of the decision-making function which performs optimal dispatch of distributed energy resources (DERs) which include storage batteries, renewable solar PV systems and standby diesel generators (reserve only) for participation in the reserve market, frequency regulation market and peer-to-peer energy trading among the buildings with demand side management capabilities

• Develop methodologies for forecasting load and solar PV output, for scheduling of DERs as well as for a P2P energy trading platform; design smart contracts for P2P energy trading; propose a cost-effective and scalable network architecture to support Ethereum; and introduce a novel incentive mechanism to promote P2P energy trading

Job Requirements:

• MEng/MSc degree in Electrical and Electronics Engineering or Computer Science/Engineering for the Research Associate position

• Expert knowledge in power electronics converters and power systems especially in the design of distributed energy resources, forecasting and frequency regulation controller for electricity market participation

• Hardware experience will aid in the execution of the project

• Experience with energy storage systems, renewable energy resources, electric vehicles and/or OPAL-RT is highly recommended

• Excellent verbal and written communication skills in English

• Strong analytical and conceptual abilities

• Able to work independently and in a team to realize the proposed works

• Able to publish conference/journal papers and commit 6 months of your time in the project. Our project ends on 31 March 2023

• Able to present effectively the work accomplished to EMA and ESG representatives

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

In line with Singapore’s nationwide Vaccination-Differentiated Safe Management Measures (VDS), employees must be fully vaccinated to return to the workplace, unless certified to be medically ineligible. For Information on VDS, please click here .