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Macro Energy Trends and the Future of Geothermal Within the Low-Carbon Energy Portfolio (2020)
Journal Article
(2020). Macro Energy Trends and the Future of Geothermal Within the Low-Carbon Energy Portfolio. Journal of Energy Resources Technology, https://doi.org/10.1115/1.4048520

Exploratory analysis was conducted to understand energy diversification trends within the oil, gas, and power industry and to examine whether geothermal technologies play a role in the low-carbon energy mix. Investigations were completed using the 20... Read More about Macro Energy Trends and the Future of Geothermal Within the Low-Carbon Energy Portfolio.

On Developing and Validating Dynamic Systems: Simulation Engineering. (2020)
Journal Article
(2020). On Developing and Validating Dynamic Systems: Simulation Engineering. https://doi.org/10.5381/jot.2020.19.3.a6

Dynamic systems, where the behaviour is the dominant characteristic, pose engineering challenges that are often neglected in model-based software engineering. However, supporting simulation development from design models is important in demonstrating... Read More about On Developing and Validating Dynamic Systems: Simulation Engineering..

Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems (2020)
Journal Article
(2020). Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems. Artificial Life, https://doi.org/10.1162/isal_a_00284

Ecological, environmental and geophysical time series consistently exhibit the characteristics of coloured (1/f^ß ) noise. Here we briefly survey the literature on coloured noise, population persistence and related evolutionary dynamics, before intro... Read More about Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems.

Characterization and dynamical stability of fully nonlinear strain solitary waves in a fluid-filled hyperelastic membrane tube (2020)
Journal Article
Fu. (2020). Characterization and dynamical stability of fully nonlinear strain solitary waves in a fluid-filled hyperelastic membrane tube. Acta mechanica, https://doi.org/10.1007/s00707-020-02754-z

We first characterize strain solitary waves propagating in a fluid-filled membrane tube when the fluid is stationary prior to wave propagation and the tube is also subjected to a finite stretch. We consider the parameter regime where all traveling wa... Read More about Characterization and dynamical stability of fully nonlinear strain solitary waves in a fluid-filled hyperelastic membrane tube.

Analytical approximations for heat release rate laws in the time- and frequency-domains (2020)
Journal Article
Heckl. (2020). Analytical approximations for heat release rate laws in the time- and frequency-domains. International Journal of Spray and Combustion Dynamics, https://doi.org/10.1177/1756827720930491

<jats:p> This paper focusses on the relationship between the heat release rate and the acoustic field, which is a crucial element in modelling thermoacoustic instabilities. The aim of the paper is twofold. The first aim is to develop a transformation... Read More about Analytical approximations for heat release rate laws in the time- and frequency-domains.

Computer Simulation of the Incorporation of V2+, V3+, V4+, V(5+)and Mo3+, Mo4+, Mo5+, Mo(6+)Dopants in LiNbO3 (2020)
Journal Article
Jackson. (2020). Computer Simulation of the Incorporation of V2+, V3+, V4+, V(5+)and Mo3+, Mo4+, Mo5+, Mo(6+)Dopants in LiNbO3. Crystals, https://doi.org/10.3390/cryst10060457

The doping of LiNbO(3)with V2+, V3+, V(4+)and V(5+)as well as Mo3+, Mo4+, Mo(5+)and Mo(6+)ions is of interest in enhancing its photorefractive properties. In this paper, possible incorporation mechanisms for these ions in LiNbO(3)are modelled, using... Read More about Computer Simulation of the Incorporation of V2+, V3+, V4+, V(5+)and Mo3+, Mo4+, Mo5+, Mo(6+)Dopants in LiNbO3.

Visualising the Invisible: Augmented Reality and Virtual Reality as Persuasive Technologies for Energy Feedback (2020)
Conference Proceeding
David Fredericks, A., Fan, Z., & Woolley, S. I. (2020). Visualising the Invisible: Augmented Reality and Virtual Reality as Persuasive Technologies for Energy Feedback. . https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00225

In the last fifteen years, the outlook for engaging direct energy feedback as a method of effectively curtailing domestic energy consumption has grown more pessimistic. Continuing studies and reviews suggest the impact of such techniques on consumers... Read More about Visualising the Invisible: Augmented Reality and Virtual Reality as Persuasive Technologies for Energy Feedback.

Deep Reinforcement Learning Based Energy Storage Arbitrage With Accurate Lithium-ion Battery Degradation Model (2020)
Journal Article
Healey, & Fan. (2020). Deep Reinforcement Learning Based Energy Storage Arbitrage With Accurate Lithium-ion Battery Degradation Model. IEEE Transactions on Smart Grid, 4513-4521. https://doi.org/10.1109/TSG.2020.2986333

Accurate estimation of battery degradation cost is one of the main barriers for battery participating on the energy arbitrage market. This paper addresses this problem by using a model-free deep reinforcement learning (DRL) method to optimize the bat... Read More about Deep Reinforcement Learning Based Energy Storage Arbitrage With Accurate Lithium-ion Battery Degradation Model.