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Stephen Beck
Researcher at University of Sheffield
Publications - 84
Citations - 2551
Stephen Beck is an academic researcher from University of Sheffield. The author has contributed to research in topics: Flow measurement & Leak. The author has an hindex of 21, co-authored 83 publications receiving 2159 citations.
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Green roofs; building energy savings and the potential for retrofit
TL;DR: In this paper, the authors reviewed the current literature and highlighted the situations in which the greatest building energy savings can be made and found that older buildings with poor existing insulation are deemed to benefit most from a green roof as current building regulations require such high levels of insulation that green roofs are seen to hardly affect annual building energy consumption.
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What is a Smart Building
TL;DR: In this paper, the authors present a review of the scope of intelligent buildings and the current available definitions of smart buildings to form a clear definition of both smart and intelligent buildings, and define the border between the intelligent and the (more advanced) smart buildings.
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Using regression analysis to predict the future energy consumption of a supermarket in the UK
TL;DR: In this paper, the authors investigated a supermarket in northern England by means of a multiple regression analysis based on gas and electricity data for 2012, and obtained the equations obtained in this analysis use the humidity ratio derived from the dry-bulb temperature and the relative humidity in conjunction with the actual dry-b temperature, which were used to estimate the consumption for the base year period (1961-1990) and for the predicted climate period 2030-2059.
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Comparative study of instantaneous frequency based methods for leak detection in pipeline networks
TL;DR: In this paper, a comparative study of instantaneous frequency analysis techniques based on pressure transients recorded within a live distribution network is presented, where the instantaneous frequency of the signals are analysed using the Hilbert transform (HT), the Normalised Hilbert transform(NHT), Direct Quadrature (DQ), Teager Energy Operator (TEO), and Cepstrum.
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Pipeline Network Features and Leak Detection by Cross-Correlation Analysis of Reflected Waves
TL;DR: In this paper, the authors used an enhanced signal processing technique to improve the detection of leaks using an artificial generation of pressure waves using a solenoid valve, rather than relying upon natural sources of fluid excitation.