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Bertrand Delpech

Researcher at Brunel University London

Publications -  15
Citations -  1121

Bertrand Delpech is an academic researcher from Brunel University London. The author has contributed to research in topics: Waste heat recovery unit & Heat pipe. The author has an hindex of 8, co-authored 12 publications receiving 647 citations.

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Waste Heat Recovery Technologies and Applications

TL;DR: Horizon 2020 Project “Design for Resource and Energy efficiency in CerAMic Kilns- DREAM Project (DREAM Project), Horizon 2020 Industrial THERMal energy recovery conversion and management (Grant No:680599) and ESPRC (EP/P004636/1).
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Heat pipe based systems - Advances and applications

TL;DR: A comprehensive review of the state-of-the-art applications, materials and performance of current heat pipe devices can be found in this paper, where heat pipe technologies offer many key advantages over conventional practices.
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Experimental and theoretical investigation of a flat heat pipe heat exchanger for waste heat recovery in the steel industry

TL;DR: In this paper, the design, manufacture and testing of an innovative heat recovery system based on a flat heat pipe heat exchanger (FHP) is described, which consists of stainless steel heat pipes linked by a bottom header and a shell and tube top header.
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Energy efficiency enhancement and waste heat recovery in industrial processes by means of the heat pipe technology: Case of the ceramic industry

TL;DR: In this article, the authors investigated the application of heat-pipe based heat exchanger for improving the energy efficiency of industrial processes and the potential heat recovery and reduction of fuel consumption is determined.
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Development and validation of a TRNSYS type to simulate heat pipe heat exchangers in transient applications of waste heat recovery

TL;DR: In this paper, a transient TRNSYS HPHE component has been developed using the Effectiveness-Number of Transfer Units (NTU) method and validated against experimental results to predict outlet temperatures and energy recovery well within an accuracy of 15% and an average of 4.4% error.