Tim  Rubert

Mr. Tim Rubert


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2018 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Open access
LZLisa Ziegler
Lisa Ziegler
EGElena Gonzalez
Elena Gonzalez
TRTim Rubert
Tim Rubert
USUrsula Smolka
Ursula Smolka
JMJulio J. Melero
Julio J. Melero
A significant number of wind turbines will reach the end of their planned service life in the near future. A decision on lifetime extension is complex and experiences to date are limited. This review presents the current state-of-the-art for lifetime extension of onshore wind turbines in Germany, Spain, Denmark, and the UK. Information was gathered through a literature review and 24 guidelinebased interviews with key market players. Technical, economic and legal aspects are discussed. Results indicate that end-of-life solutions will develop a significant market over the next five years. The application of updated load simulation and inspections for technical lifetime extension assessment differs between countries. A major concern is the uncertainty about future electricity spot market prices, which determine if lifetime extension is economically feasible

1 May 2018 in Renewable Energy
Verified
Journal Article
Open access
TRTim Rubert
Tim Rubert
DMDavid McMillan
David McMillan
Pawel NiewczasPawel Niewczas
Pawel Niewczas
This paper is aimed at analysing the levelised cost of energy (LCOE) of onshore wind turbine generators (WTGs) that are in operation beyond their design lifetime. In order to do so, the LCOE approach is introduced and input parameters are discussed for a UK deployment. In addition, a methodology is presented to support economic lifetime extension and investment decision making at the end of an asset's design lifetime. As part of a case study, a wind farm consisting of six 900 kW WTGs is subjected to different combinations of i) lifetime extension (5- 15 years), ii) input assumptions (pessimistic, central, optimistic), and iii) re-investment types (retrofits). Results indicate that in the central lifetime extension scenario, LCOE estimates of 22.40 £/MWh are achievable

21 August 2017 in Sensors
Verified
Journal Article
Open access
PDF file
MPMarcus Perry
Marcus Perry
JMJack McAlorum
Jack McAlorum
Grzegorz FusiekGrzegorz Fusiek
Grzegorz Fusiek
Pawel NiewczasPawel Niewczas
Pawel Niewczas
IMIain Mckeeman
Iain Mckeeman
TRTim Rubert
Tim Rubert
The degradation of onshore, reinforced-concrete wind turbine foundations is usually assessed via above-ground inspections, or through lengthy excavation campaigns that suspend wind power generation. Foundation cracks can and do occur below ground level, and while sustained measurements of crack behaviour could be used to quantify the risk of water ingress and reinforcement corrosion, these cracks have not yet been monitored during turbine operation. Here, we outline the design, fabrication and field installation of subterranean fibre-optic sensors for monitoring the opening and lateral displacements of foundation cracks during wind turbine operation. We detail methods for in situ sensor characterisation, verify sensor responses against theoretical tower strains derived from wind speed data, and then show that measured crack displacements correlate with monitored tower strains. Our results show that foundation crack opening displacements respond linearly to tower strain and do not change by more than ±5 μ m. Lateral crack displacements were found to be negligible. We anticipate that the work outlined here will provide a starting point for real-time, long-term and dynamic analyses of crack displacements in future. Our findings could furthermore inform the development of cost-effective monitoring systems for ageing wind turbine foundations.

1 December 2019 in Renewable Energy
Verified
Journal Article
Closed access
TRTim Rubert
Tim Rubert
GZG. Zorzi
G. Zorzi
Grzegorz FusiekGrzegorz Fusiek
Grzegorz Fusiek
Pawel NiewczasPawel Niewczas
Pawel Niewczas
DMDavid McMillan
David McMillan
MPMarcus Perry
Marcus Perry

31 December 2017 in Sensors
Verified
Journal Article
Open access
PDF file
TRTim Rubert
Tim Rubert
MPMarcus Perry
Marcus Perry
Grzegorz FusiekGrzegorz Fusiek
Grzegorz Fusiek
JMJack McAlorum
Jack McAlorum
Pawel NiewczasPawel Niewczas
Pawel Niewczas
DMDavid McCallum
David McCallum
Onshore wind turbine foundations are generally over-engineered as their internal stress states are challenging to directly monitor during operation. While there are industry drivers to shift towards more economical foundation designs, making this transition safely will require new monitoring techniques, so that the uncertainties around structural health can be reduced. This paper presents the initial results of a real-time strain monitoring campaign for an operating wind turbine foundation. Selected reinforcement bars were instrumented with metal packaged optical fibre strain sensors prior to concrete casting. In this paper, we outline the sensors’ design, characterisation and installation, and present 67 days of operational data. During this time, measured foundation strains did not exceed 95 μ ϵ , and showed a strong correlation with both measured tower displacements and the results of a foundation finite element model. The work demonstrates that real-time foundation monitoring is not only achievable, but that it has the potential to help operators and policymakers quantify the conservatism of their existing design codes.

16 December 2017 in Sensors
Verified
Journal Article
Open access
PDF file
MPMarcus Perry
Marcus Perry
Grzegorz FusiekGrzegorz Fusiek
Grzegorz Fusiek
Pawel NiewczasPawel Niewczas
Pawel Niewczas
TRTim Rubert
Tim Rubert
JMJack McAlorum
Jack McAlorum
Wind turbine foundations are typically cast in place, leaving the concrete to mature under environmental conditions that vary in time and space. As a result, there is uncertainty around the concrete’s initial performance, and this can encourage both costly over-design and inaccurate prognoses of structural health. Here, we demonstrate the field application of a dense, wireless thermocouple network to monitor the strength development of an onshore, reinforced-concrete wind turbine foundation. Up-to-date methods in fly ash concrete strength and maturity modelling are used to estimate the distribution and evolution of foundation strength over 29 days of curing. Strength estimates are verified by core samples, extracted from the foundation base. In addition, an artificial neural network, trained using temperature data, is exploited to demonstrate that distributed concrete strengths can be estimated for foundations using only sparse thermocouple data. Our techniques provide a practical alternative to computational models, and could assist site operators in making more informed decisions about foundation design, construction, operation and maintenance.