A chronological review of advances in solar assisted heat pump technology in 21st century

A Badiei, YG Akhlaghi, X Zhao, S Shittu, X Xiao… - … and Sustainable Energy …, 2020 - Elsevier
This paper presents a comprehensive review on developments and advances of Solar
Assisted Heat Pump technology reported in 21st century. Combination of thermal and …

Recent developments in simulation techniques for vapour-compression refrigeration systems

G Ding - International Journal of refrigeration, 2007 - Elsevier
Simulation has been widely used for performance prediction and optimum design of
refrigeration systems. A brief review on history of simulation for vapour-compression …

Modelling and experimental performance analysis of solar-assisted ground source heat pump system

H Esen, M Esen, O Ozsolak - Journal of Experimental & Theoretical …, 2017 - Taylor & Francis
In this study, slinky (the slinky-loop configuration is also known as the coiled loop or spiral
loop of flexible plastic pipe) type ground heat exchanger (GHE) was established for a solar …

Performance prediction of a ground-coupled heat pump system using artificial neural networks

H Esen, M Inalli, A Sengur, M Esen - Expert Systems with Applications, 2008 - Elsevier
This paper describes the applicability of artificial neural networks (ANNs) to predict
performance of a horizontal ground-coupled heat pump (GCHP) system. Performance …

Artificial neural networks and adaptive neuro-fuzzy assessments for ground-coupled heat pump system

H Esen, M Inalli, A Sengur, M Esen - Energy and Buildings, 2008 - Elsevier
This article present a comparison of artificial neural network (ANN) and adaptive neuro-fuzzy
inference systems (ANFIS) applied for modelling a ground-coupled heat pump system …

Estimation of solar potential in Turkey by artificial neural networks using meteorological and geographical data

A Sözen, E Arcaklioğlu, M Özalp - Energy Conversion and Management, 2004 - Elsevier
Turkey is located at the Mediterranean at 36° and 42° N latitudes and has a typical
Mediterranean climate. The solar energy potential is very high in Turkey. The yearly average …

Forecasting of a ground-coupled heat pump performance using neural networks with statistical data weighting pre-processing

H Esen, M Inalli, A Sengur, M Esen - International Journal of Thermal …, 2008 - Elsevier
The objective of this work is to improve the performance of an artificial neural network (ANN)
with a statistical weighted pre-processing (SWP) method to learn to predict ground source …

Use of artificial neural networks for mapping of solar potential in Turkey

A Sözen, E Arcaklioǧlu, M Özalp, EG Kanit - Applied Energy, 2004 - Elsevier
Turkey has sufficient solar radiation intensities and radiation durations for solar thermal
applications since Turkey lies in a sunny belt, between 36° and 42° N latitudes. The yearly …

Forecasting based on neural network approach of solar potential in Turkey

A Sözen, E Arcaklıoğlu, M Özalp, N Çağlar - Renewable Energy, 2005 - Elsevier
As Turkey lies near the sunny belt between 36 and 42° N latitudes, most of the locations in
Turkey receive abundant solar energy. Average annual temperature is 18–20° C on the …

[HTML][HTML] Artificial intelligence models for refrigeration, air conditioning and heat pump systems

DS Adelekan, OS Ohunakin, BS Paul - Energy Reports, 2022 - Elsevier
Artificial intelligence (AI) models for refrigeration, heat pumps, and air conditioners have
emerged in recent decades. The universal approximation accuracy and prediction …