Presentation

The energy economics research projects were presented as a group in one single session. You can download a PDF of the combined presentations after the conference.

Projects

Supply chain optimisation of waste materials (biomass) for bioenergy in Nigeria

Student: Azarel Adebanjo
Supervisor(s): Dr Miao Guo (Department of Chemical Engineering), Dr Koen Van Dam (Department of Chemical Engineering)
Poster: #12 Download PDF AVAILABLE AFTER THE CONFERENCE

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South African renewable energy supply chain modelling

Student: Massimo Liu
Supervisor(s): Dr Miao Guo (Department of Chemical Engineering), Dr Koen Van Dam (Department of Chemical Engineering)
Poster: #13 Download PDF AVAILABLE AFTER THE CONFERENCE

Building on a preliminary multi-level model of the South African sugar cane bioenergy supply chain, the goal of this project is to formulate the requirements, design and develop a model to support the sustainable design and long-term deployment of renewable energy integration in South Africa. This project will take into account the wider context of multiple supply chains (bioenergy conversion technology, other selected renewable technologies and their potential integration, transport and logistics and markets/demands).

Investigation of disruptive business model in energy market using agent-based modelling

Student: Ardha Pradikta Rahardjo
Supervisor(s): Dr Jeffrey Hardy, (The Grantham Institute), Dr Christoph Mazur (Department of Chemical Engineering)
Poster: #15 Download PDF AVAILABLE AFTER THE CONFERENCE

Innovation in sustainable technologies, interest in low carbon economies and the need for affordable energy have pushed the energy sector into transition. Innovation in the current utility business model is presumably required to match the pace of this energy transition. Previous research has established the argument that the Energy Service Company (ESCo) business model is more suitable for future utilities. This research aims to investigate the possibility of ESCo model disrupting the current incumbent utility business model in UK energy sector. Agent-based modelling is chosen to serve this purpose, and UK SINUS-MILIEUS combined with demographic dataset will be used for characterising the agents and determining their decision criteria.

Thermo-economic optimisation of Organic Rankine Cycles

Student: Zahin Rahim
Supervisor(s): Dr Christos Markides (Department of Chemical Engineering), Dr Antonio Pantaleo (Department of Chemical Engineering)
Poster: #16 Download PDF AVAILABLE AFTER THE CONFERENCE

The project has three main aims: 1) to optimise Organic Rankine Cycles in a waste heat recovery application by minimising specific investment cost (equipment cost per unit work output), 2) to compare commonly used heat exchanger cost correlations with cost estimates from commercial software and 3) to analyse the part-load performance of an optimised Organic Rankine Cycle.

Application of agent-based modelling in global gas trade and price forecasting

Student: Ronald Sukianto
Supervisor(s): Dr Daniel Crow, (Sustainable Gas Institute), Mr Michael Buckland Wood (Mackenzie)
Poster: #17 Download PDF AVAILABLE AFTER THE CONFERENCE

This project applies agent-based modelling (ABM) to create a world gas market model in order to analyse possible future gas trade situations and the key factors that may lead to a more globalised gas market in the near future. By considering factors like increasing LNG trade, reduced contract-based pricing and oversupplied market, an ABM simulates the actions and interactions between agents (gas producers and gas consumers) with the government regulations, assessing their effects on the overall gas market.