Dr Sam Evans

Dr Sam Evans

Conjoint Senior Lecturer

School of Engineering

Career Summary

Biography

As a trained academic my career has been anything but textbook. I am driven to commercialise deep tech into real-world impact. My passion in renewable energy led me to co-found Diffuse Energy, a spin-out from The University of Newcastle. Diffuse Energy have successfully completed the CSIRO ON Program - Australia’s National Science and Technology Accelerator. Our wind technology is currently being rolled out to remote telecommunications sites.

I was awarded my PhD in 2017 on the topic of small wind turbine aeroelasticity. How can we design more efficient, cheaper, and structurally sound small-scale wind turbines? How can we tap into existing wind resources to improve renewable energy penetration? These wicked problems drive my research.

My secondary research interest is computational biomechanics. This exciting field combines the application of computer aided engineering, medical imaging, and biology. My work has received national and international media coverage in; The Royal SocietyNew ScientistAustralian GeographicFairfax media, and Nine Network news.

I am always seeking to make connections with like-minded individuals.


Qualifications

  • Doctor of Philosophy, University of Newcastle
  • Bachelor of Engineering (Mechanical) (Hons), University of Newcastle

Keywords

  • Computational biomechanics
  • Finite element analysis
  • Renewable energy
  • Wind turbines

Languages

  • English (Mother)

Fields of Research

Code Description Percentage
091399 Mechanical Engineering not elsewhere classified 50
090608 Renewable Power and Energy Systems Engineering (excl. Solar Cells) 50

Invitations

Speaker

Year Title / Rationale
2019 NEXUS 2019 Jingsu-Victoria Startup Summit
2019 The 6th annual Off Grid and Stand Alone Power Conference
Invited Conference Chair
2018 IMPACT7 2018

Teaching

Code Course Role Duration
MECH4580 Computer Aided Engineering and Manufacturing
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Course coordinator 1/1/2017 - 30/6/2018
MECH1110 Mechanical Drawing/CAD and Workshop Practice
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Course coordinator 1/7/2017 - 31/12/2018
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Chapter (2 outputs)

Year Citation Altmetrics Link
2019 Rakib MI, Nay S, Evans S, Clausen P, 'Wind Regimes in Urban Environments: Experimental Comparison with the IEC 61400.2-2013 Open Terrain Wind Model', Wind Energy Exploitation in Urban Environment: TUrbWind 2018 Colloquium, Springer Nature, Cham, Switzerland 201-214 (2019) [B1]
DOI 10.1007/978-3-030-13531-7_12
Citations Scopus - 1
Co-authors Philip Clausen
2019 Bradney D, Evans S, Clausen P, 'The Effect of Tail Fin Size on the Yaw Performance of Small Wind Turbines Operating in Unsteady Flow', Wind Energy Exploitation in Urban Environment: TUrbWind 2018 Colloquium, Springer Nature, Cham, Switzerland 55-70 (2019) [B1]
DOI 10.1007/978-3-030-13531-7_4
Co-authors Philip Clausen, David Bradney

Journal article (10 outputs)

Year Citation Altmetrics Link
2020 KC A, Whale J, Evans SP, Clausen PD, 'An investigation of the impact of wind speed and turbulence on small wind turbine operation and fatigue loads', Renewable Energy, 146 87-98 (2020) [C1]
DOI 10.1016/j.renene.2019.06.124
Citations Scopus - 6Web of Science - 2
Co-authors Philip Clausen
2020 Rakib MI, Evans SP, Clausen PD, 'Measured gust events in the urban environment, a comparison with the IEC standard', Renewable Energy, 146 1134-1142 (2020) [C1]
DOI 10.1016/j.renene.2019.07.058
Citations Scopus - 2Web of Science - 1
Co-authors Philip Clausen
2020 Bradney D, Evans S, Chu M, Clausen P, 'A low-cost, high-speed, multi-channel Arduino-based data acquisition system for wind turbine systems', Wind Engineering, 44 509-518 (2020) [C1]
DOI 10.1177/0309524X19862753
Co-authors Philip Clausen, David Bradney
2018 Evans SP, Bradney DR, Clausen PD, 'Development and experimental verification of a 5 kW small wind turbine aeroelastic model', Journal of Wind Engineering and Industrial Aerodynamics, 181 104-111 (2018) [C1]
DOI 10.1016/j.jweia.2018.08.011
Citations Scopus - 6Web of Science - 7
Co-authors David Bradney, Philip Clausen
2018 Evans SP, Bradney DR, Clausen PD, 'Assessing the IEC simplified fatigue load equations for small wind turbine blades: How simple is too simple?', Renewable Energy, 127 24-31 (2018) [C1]

© 2018 It is well known that wind turbine blades are fatigue critical, with much literature and methodologies available for assessing fatigue loading of large wind turbine blades.... [more]

© 2018 It is well known that wind turbine blades are fatigue critical, with much literature and methodologies available for assessing fatigue loading of large wind turbine blades. Little research effort has been directed at assessing the fatigue life of small wind turbines which operate at higher rotational speeds and are subject to highly unsteady aerodynamic loading. In this paper the simplified load model proposed in IEC 61400.2 is used to determine the fatigue life of a small 5 kW wind turbine blade. This estimated life is compared to that determined from both measured operational data and aeroelastic simulations. Fatigue life was estimated by the standard at 0.09 years, compared to 9.18 years from field measurements and 3.26 years found via aeroelastic simulations. All methods fell below the 20 year design life, with the standard over-conservative by a factor of 102 and 36 for measurements and simulations respectively. To the best of the authors¿ knowledge these three fatigue methods specified in the standard have not been quantitatively compared and assessed for small wind turbines. Results are of importance to small wind turbine developers as they seek best practice for determining blade fatigue life. Shortcomings of the IEC methodology are detailed and discussed.

DOI 10.1016/j.renene.2018.04.041
Citations Scopus - 9Web of Science - 8
Co-authors David Bradney, Philip Clausen
2018 Wroe S, Parr WCH, Ledogar JA, Bourke J, Evans SP, Fiorenza L, et al., 'Computer simulations show that Neanderthal facial morphology represents adaptation to cold and high energy demands, but not heavy biting', PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 285 (2018) [C1]
DOI 10.1098/rspb.2018.0085
Citations Scopus - 23Web of Science - 18
2017 Bradney DR, Davidson A, Evans SP, Wueringer BE, Morgan DL, Clausen PD, 'Sawfishes stealth revealed using computational fluid dynamics', JOURNAL OF FISH BIOLOGY, 90 1584-1596 (2017) [C1]
DOI 10.1111/jfb.13255
Citations Scopus - 4Web of Science - 3
Co-authors David Bradney, Philip Clausen
2017 Evans SP, KC A, Bradney DR, Urmee TP, Whale J, Clausen PD, 'The suitability of the IEC 61400-2 wind model for small wind turbines operating in the built environment', Renewable Energy and Environmental Sustainability, 2 (2017) [C1]
DOI 10.1051/rees/2017022
Co-authors David Bradney, Philip Clausen
2015 Evans SP, Clausen PD, 'Modelling of turbulent wind flow using the embedded Markov chain method', Renewable Energy, 81 671-678 (2015) [C1]

© 2015 Elsevier Ltd. Small wind turbines are usually installed to provide off-grid power and as such can be situated close to the load in a less-than-ideal wind resource. These wi... [more]

© 2015 Elsevier Ltd. Small wind turbines are usually installed to provide off-grid power and as such can be situated close to the load in a less-than-ideal wind resource. These wind regimes are often governed by low mean speeds and high wind turbulence. This can result in energy production less than that specified by the manufacturer's power curve. Wind turbulence is detrimental to the fatigue life of key components and overall turbine reliability and therefore must be considered in the design stage of small wind turbines. Consequently it is important to accurately simulate wind speed data at highly turbulent sites to quantify loading on turbine components. Here we simulate wind speed data using the Markov chain Monte Carlo process and incorporate long term effects using an embedded Markov chain. First, second and third order Markov chain predictions were found to be in good agreement with measured wind data acquired at 1Hz. The embedded Markov chain was able to predict site turbulent intensity with a reasonable degree of accuracy. The site exhibited distinctive peaks in wind speed possibly caused by diurnal heating and cooling of the earth's surface. The embedded Markov chain method was able to simulate these peaks albeit with a time offset.

DOI 10.1016/j.renene.2015.03.067
Citations Scopus - 11Web of Science - 12
Co-authors Philip Clausen
2012 Evans SP, Parr WCH, Clausen PD, Jones A, Wroe S, 'Finite element analysis of a micromechanical model of bone and a new 3D approach to validation', Journal of Biomechanics, 45 2702-2705 (2012) [C1]
DOI 10.1016/j.jbiomech.2012.08.003
Citations Scopus - 16Web of Science - 13
Co-authors Philip Clausen
Show 7 more journal articles

Conference (5 outputs)

Year Citation Altmetrics Link
2020 Rakib MI, Evans SP, Clausen PD, 'Simulating the response of a small horizontal-axis wind turbine during wind gust using FAST', Journal of Physics: Conference Series, Amherst, MA (2020) [E1]
DOI 10.1088/1742-6596/1452/1/012086
Co-authors Philip Clausen
2020 Evans SP, Kesby JE, Bradley J, Clausen PD, 'Commercialization of a Diffuser Augmented Wind Turbine for Distributed Generation', Journal of Physics: Conference Series (2020) [E1]

© 2020 IOP Publishing Ltd. All rights reserved. Small-scale distributed wind generation faces challenges in being cost competitive due to recent advances in solar photovoltaic and... [more]

© 2020 IOP Publishing Ltd. All rights reserved. Small-scale distributed wind generation faces challenges in being cost competitive due to recent advances in solar photovoltaic and battery storage technology. Reductions in levelized cost of energy (LCOE) can be achieved by improvements in aerodynamic efficiency, generator controller design, or reducing cost of manufacture. In this paper we present a case study detailing the commercialization of a novel 200 W high-efficiency diffuser augmented wind turbine (DAWT). Results include increased rotor efficiency, bespoke controller design, and the novel use of manufacturing processes. Findings and conclusions are of direct interest to small wind turbine designers as they seek to reduce LCOE.

DOI 10.1088/1742-6596/1452/1/012014
Co-authors Philip Clausen
2016 Evans SP, Bradney DR, Clausen PD, 'Aeroelastic measurements and simulations of a small wind turbine operating in the built environment', Journal of Physics: Conference Series, Munich, Germany (2016) [E1]
DOI 10.1088/1742-6596/753/4/042013
Citations Scopus - 4Web of Science - 3
Co-authors Philip Clausen, David Bradney
2016 Bradney DR, Evans SP, Da Costa MSP, Clausen PD, 'Comparison of computational modelling and field testing of a small wind turbine operating in unsteady flows', Journal of Physics: Conference Series, Munich, Germany (2016) [E1]
DOI 10.1088/1742-6596/753/8/082029
Citations Scopus - 4Web of Science - 4
Co-authors David Bradney, Philip Clausen
2014 Evans S, Clausen PD, 'High Resolution Wind Speed Modelling of Turbulent Flow using Markov Chain Monte Carlo Simulation', Proceedings of the 52nd Annual Conference: Australian Solar Energy Society (Australian Solar Council), Melbourne (2014) [E1]
Co-authors Philip Clausen
Show 2 more conferences

Thesis / Dissertation (1 outputs)

Year Citation Altmetrics Link
2017 Evans SP, Evans SP, Aeroelastic measurements, simulations, and fatigue predictions for small wind turbines operating in highly turbulent flow, University of Newcastle (2017)
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Grants and Funding

Summary

Number of grants 11
Total funding $1,112,303

Click on a grant title below to expand the full details for that specific grant.


20201 grants / $922,307

Resilient Wind Energy for Telecommunication Sites$922,307

Funding body: Australian Renewable Energy Agency (ARENA)

Funding body Australian Renewable Energy Agency (ARENA)
Scheme Advancing Renewables
Role Lead
Funding Start 2020
Funding Finish 2022
GNo
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON N

20191 grants / $20,000

New Ventures Incubation Grant$20,000

Funding body: CSIRO - Commonwealth Scientific and Industrial Research Organisation

Funding body CSIRO - Commonwealth Scientific and Industrial Research Organisation
Scheme CSIRO New Ventures
Role Lead
Funding Start 2019
Funding Finish 2019
GNo
Type Of Funding External
Category EXTE
UON N

20184 grants / $67,000

Minimum Viable Product grant$50,000

Funding body: NSW State Government

Funding body NSW State Government
Scheme Jobs for NSW
Role Investigator
Funding Start 2018
Funding Finish 2019
GNo
Type Of Funding C2220 - Aust StateTerritoryLocal - Other
Category 2220
UON N

CSIRO ON Accelerate - High Performing Team Grant$10,000

Funding body: CSIRO - Commonwealth Scientific and Industrial Research Organisation

Funding body CSIRO - Commonwealth Scientific and Industrial Research Organisation
Scheme Australia's National Innovation Accelerator Program
Role Investigator
Funding Start 2018
Funding Finish 2018
GNo
Type Of Funding External
Category EXTE
UON N

Teaching Innovation Investment Scheme$5,000

Funding body: Centre for Teaching and Learning, The University of Newcastle

Funding body Centre for Teaching and Learning, The University of Newcastle
Scheme Teaching Innovation Investment Scheme
Role Lead
Funding Start 2018
Funding Finish 2018
GNo
Type Of Funding Internal
Category INTE
UON N

Research Conference Travel Grant$2,000

Funding body: Faculty of Engineering and Built Environment - The University of Newcastle (Australia)

Funding body Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Scheme Faculty Conference Travel Grant
Role Lead
Funding Start 2018
Funding Finish 2018
GNo
Type Of Funding Internal
Category INTE
UON N

20175 grants / $102,996

Develop and optimise a cement lined water based end pipe fitting technology$33,108

Funding body: Pipe Lining & Coating Pty Limited

Funding body Pipe Lining & Coating Pty Limited
Project Team Associate Professor Phil Clausen, Professor Craig Wheeler, Doctor Sam Evans
Scheme Entrepreneurs’ Programme: Innovation Connections Partner Funding
Role Investigator
Funding Start 2017
Funding Finish 2017
GNo G1700887
Type Of Funding C3111 - Aust For profit
Category 3111
UON Y

Develop and optimise a cement lined water based end pipe fitting technology$33,108

Funding body: Department of Industry, Innovation and Science

Funding body Department of Industry, Innovation and Science
Project Team Associate Professor Phil Clausen, Professor Craig Wheeler, Doctor Sam Evans
Scheme Entrepreneurs' Programme: Innovation Connections
Role Investigator
Funding Start 2017
Funding Finish 2017
GNo G1700933
Type Of Funding C2110 - Aust Commonwealth - Own Purpose
Category 2110
UON Y

Quantifying the turbulent built environment wind resource$18,780

Funding body: Faculty of Engineering and Built Environment - The University of Newcastle (Australia)

Funding body Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Scheme FEBE Strategic Pilot Grant
Role Lead
Funding Start 2017
Funding Finish 2018
GNo
Type Of Funding Internal
Category INTE
UON N

CSIRO ON Accelerate 4$15,000

Funding body: CSIRO - Commonwealth Scientific and Industrial Research Organisation

Funding body CSIRO - Commonwealth Scientific and Industrial Research Organisation
Scheme Australia's National Innovation Accelerator Program
Role Investigator
Funding Start 2017
Funding Finish 2018
GNo
Type Of Funding External
Category EXTE
UON N

CSIRO On Prime Grant$3,000

Funding body: CSIRO - Commonwealth Scientific and Industrial Research Organisation

Funding body CSIRO - Commonwealth Scientific and Industrial Research Organisation
Scheme ON Prime
Role Investigator
Funding Start 2017
Funding Finish 2017
GNo
Type Of Funding External
Category EXTE
UON N
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Research Supervision

Number of supervisions

Completed1
Current2

Current Supervision

Commenced Level of Study Research Title Program Supervisor Type
2018 PhD Fluid Rotations and Power Efficiency of Wind Turbine PhD (Mechanical Engineering), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor
2016 PhD Effect of Wind Gusts on Small Wind Turbines PhD (Mechanical Engineering), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor

Past Supervision

Year Level of Study Research Title Program Supervisor Type
2020 PhD Structural Response and Optimisation of a Small Wind Turbine Blade PhD (Mechanical Engineering), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor
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Research Collaborations

The map is a representation of a researchers co-authorship with collaborators across the globe. The map displays the number of publications against a country, where there is at least one co-author based in that country. Data is sourced from the University of Newcastle research publication management system (NURO) and may not fully represent the authors complete body of work.

Country Count of Publications
Australia 15
Germany 1
United Kingdom 1
Italy 1
United States 1
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News

Venture capitalist blown away by University-born small wind turbine startup

June 5, 2020

The University of Newcastle-based start-up, Diffuse Energy, has secured $400,000 in seed funding from Australian venture capital fund, Shearwater Growth Equity, to scale production of its promising renewable energy option.

Flame retardants: how Australian universities are responding to the bushfires

April 2, 2020

Six months of devastating and unprecedented destruction has brought home the reality of climate change to many Australians. But with time for mitigation short and some politicians still in denial, what more can universities do to save the ‘lucky country’ – and the rest of the planet?

The big catch they don’t tell you about the CSIRO ON Program

July 9, 2019

Dr Samuel Evans completed ON Accelerate in 2018. He's written in to tell us about the hidden catch in his experience.

Sawfish’s fearsome snout evolved to be undetectable to prey

March 29, 2017

The sawfish’s long, rigid snout – called a rostrum – looked oddly similar to some of the industrial wind turbine blades he had investigated as a professor of engineering at Australia’s University of Newcastle.

Sawfish are the ultimate stealth hunters, study finds

March 24, 2017

New research has shed light on the function of the distinctive 'saw' on sawfish – and how it enables the unusual species to sneak up on its prey.

Why the endangered sawfish is the ultimate stealth killer

March 23, 2017

Researchers at the University of Newcastle have shown that the water dynamics of the sawfish's weapon make it one of nature's deadliest stealth predators.

Dr Sam Evans

Position

Conjoint Senior Lecturer
School of Engineering
Faculty of Engineering and Built Environment

Contact Details

Email samuel.evans@newcastle.edu.au
Phone (02) 4921 8879
Links Twitter
Personal webpage
YouTube
Facebook

Office

Room ES402
Building Engineering Science
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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