Thermodynamic assessment of hybrid solar-geothermal organic Rankine cycle: An exergy and energy-based analysis

This study presents a comprehensive analysis of an organic Rankine cycle (ORC) integrated with a hybrid solar-geothermal energy system. The research aims to evaluate the thermodynamic performance and exergy efficiency of the hybrid system and compare it with a standalone solar ORC. The problem is approached by analyzing exergy destruction within key components, using the entropy method, and evaluating the impact of different working fluids. For the standalone solar ORC with a 1 MW turbine, the turbine and condenser were identified as the main sources of exergy destruction, contributing 40% and 25%, respectively. In the hybrid solar-geothermal ORC, the solar collectors were the dominant source of exergy destruction, contributing 58%, while the turbine's share was reduced to 10%. The use of R245fa improved the overall efficiency by up to 3%. A validated Simulink model was developed, confirming the reliability of the simulation results. The findings highlight the potential of hybrid systems in improving energy efficiency for small- to medium-scale combined heat and power applications, with future work focusing on optimizing operational parameters and exploring additional working fluids.

Authors

Institutions

Publication Details

Journal
Energy Exploration & Exploitation
Published
2025-03-19
DOI
https://doi.org/10.1177/01445987251329373
Citations
4
Primary Topic
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
Type
article
Field-Weighted Citation Impact
2.85
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thermodynamic assessment of hybrid solar-geothermal organic Rankine cycle: An exergy and energy-based analysis

Hassan Hayajneh, Mosa Abusorra, Ahmad Masri, Mohammad Alrbai et al.
4 citations
Energy Exploration & Exploitation
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
2.85
article

Thermodynamic assessment of hybrid solar-geothermal organic Rankine cycle: An exergy and energy-based analysis

Hassan Hayajneh, Mosa Abusorra, Ahmad Masri, Mohammad Alrbai, Sura Abu-Dabaseh
article en
4 citations

Abstract

This study presents a comprehensive analysis of an organic Rankine cycle (ORC) integrated with a hybrid solar-geothermal energy system. The research aims to evaluate the thermodynamic performance and exergy efficiency of the hybrid system and compare it with a standalone solar ORC. The problem is approached by analyzing exergy destruction within key components, using the entropy method, and evaluating the impact of different working fluids. For the standalone solar ORC with a 1 MW turbine, the turbine and condenser were identified as the main sources of exergy destruction, contributing 40% and 25%, respectively. In the hybrid solar-geothermal ORC, the solar collectors were the dominant source of exergy destruction, contributing 58%, while the turbine's share was reduced to 10%. The use of R245fa improved the overall efficiency by up to 3%. A validated Simulink model was developed, confirming the reliability of the simulation results. The findings highlight the potential of hybrid systems in improving energy efficiency for small- to medium-scale combined heat and power applications, with future work focusing on optimizing operational parameters and exploring additional working fluids.

Energy Exploration & ExploitationVol. 43(4)
University of Jordan (JO), Purdue University Northwest (US), University of Tripoli (LY), Fort Hays Tech Northwest (US)
Openalex Percentile: Top 11%
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
2.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.