Filtreler
Geometrical Optimization of Dimpled Double-Pipe Heat Exchangers for Nanofluid-based Natural Circulation Loops Operating at Lower Temperatures

Nur Çobanoğlu

Doktora Tezi | 2023 | İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü

Excessive use of global energy sources causes negative environmental impacts and a reduction in the available energy resources. Therefore, energy efficiency is the main scope of engineering studies. Since household refrigeration accounts for a large portion of the energy consumption rate in buildings, several innovative techniques have been developed to improve the energy efficiency of vapor compression refrigeration systems. Suction line heat exchangers are considered one of these techniques and they are used to avoid the presence of liquid at the compressor and to prevent sweating on the suction line, as well as increasing enthalp . . .y difference together with superheating the refrigerant at the compressor inlet. Here, a single-phase natural circulation mini loop (SPNCmL) with double pipe heat exchangers (DPHX) at cooling and heating-ends, has been proposed as an alternative to suction line heat exchangers which requires more attention to control the heat exchange process. Locating DPHXs at the low-pressure side and high-pressure sides of a conventional refrigeration cycle forms a thermal bridge with connecting these by vertical legs of the SPNCmL and provides precise control of the heat transfer with a flexible design. Daha fazlası Daha az

Assessment of Fouling in Plate Heat Exchangers with Machine Learning Algorithms

Ceren VATANSEVER

Yüksek Lisans | 2023 | İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü

Fouling is the accumulation of undesired particles on heat transfer surfaces which affects the heat transfer performance of a heat exchanger negatively. The accumulation of these particles prevents heat from being transformed through the heat exchangers by generating a fouling layer-like insulation. The main aim of the thesis is to investigate the machine learning algorithms to classify and predict the fouling status of PHE used in combi-boilers, to generate the background of the predictive maintenance, besides investigating the fouling effect on PHEs in terms of heat transfer and energy consumption by using a 1-D model.

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