Subtopic Deep Dive
Exergy Analysis of Roughness-Enhanced Solar Air Heaters
Research Guide
What is Exergy Analysis of Roughness-Enhanced Solar Air Heaters?
Exergy analysis of roughness-enhanced solar air heaters evaluates thermodynamic irreversibilities and second-law efficiencies in solar collectors with artificial rib or baffle roughness on absorber plates to optimize heat transfer.
This subtopic applies exergy principles to assess performance losses in roughened solar air heaters under varying rib geometries and flow conditions. Key studies include discrete V-down ribs (Sukhmeet Singh et al., 2011, 91 citations) and arc-shaped wire roughness (Ghritlahre and Prasad, 2018, 47 citations). Over 20 papers from 2011-2023 analyze exergy efficiencies across roughness elements like ribs, baffles, and twisted tapes.
Why It Matters
Exergy analysis identifies true energy destruction in solar air heaters, enabling designs that minimize irreversibilities for higher sustainable efficiency (Sukhmeet Singh et al., 2011; Prasad and Sahu, 2017). It guides optimization of rib shapes and aspect ratios, improving solar thermal systems for drying, space heating, and industrial processes (Phu and Luân, 2020). Real-world impacts include enhanced performance in low-grade heat applications, reducing entropy generation by up to 20-30% with optimal roughness (Ghritlahre, 2018).
Key Research Challenges
Accurate Irreversibility Modeling
Modeling exergy destruction requires precise accounting of heat transfer, friction, and flow turbulence in roughened ducts. Numerical methods often overestimate losses due to simplified turbulence assumptions (Prasad and Sahu, 2017). Experimental validation remains limited for novel rib geometries (Sukhmeet Singh et al., 2011).
Rib Geometry Optimization
Balancing enhanced Nusselt numbers against increased pressure drops across varied roughness pitches and heights challenges exergy efficiency maximization. Studies show trade-offs in discrete V-down ribs and arc wires (Ghritlahre and Prasad, 2018). Multi-objective optimization lacks standardized approaches (Phu and Luân, 2020).
Predictive Modeling Scalability
ANN models predict exergy efficiency but require extensive datasets for generalization across operating conditions. Validation gaps persist for hybrid roughness like grooved tapes (Bhattacharyya et al., 2021). Integration with real-time solar variability remains underdeveloped (Ghritlahre, 2018).
Essential Papers
Exergy based analysis of solar air heater having discrete V-down rib roughness on absorber plate
Sukhmeet Singh, Subhash Chander, J.S. Saini · 2011 · Energy · 91 citations
Systematic review of solar air collector technologies: Performance evaluation, structure design and application analysis
Ji Zhang, Tingting Zhu · 2022 · Sustainable Energy Technologies and Assessments · 51 citations
A solar air collector (SAC) is a main device of a solar-thermal air system, which can absorb solar radiation and transfer the absorbed thermal energy to the air. This paper presents a systematic re...
Prediction of exergetic efficiency of arc shaped wire roughened solar air heater using ANN model
Harish Kumar Ghritlahre, Radha Krishna Prasad · 2018 · International Journal of Heat and Technology · 47 citations
In present work, Artificial Neural Network (ANN) model has been structured to predict the exergetic efficiency of roughened solar air heater.Arc shaped wire rib roughened absorber plate with relati...
Turbulent Flow Heat Transfer through a Circular Tube with Novel Hybrid Grooved Tape Inserts: Thermohydraulic Analysis and Prediction by Applying Machine Learning Model
Suvanjan Bhattacharyya, Devendra Kumar Vishwakarma, Shramona Chakraborty et al. · 2021 · Sustainability · 33 citations
The present experimental work is performed to investigate the convection heat transfer (HT), pressure drop (PD), irreversibility, exergy efficiency and thermal performance for turbulent flow inside...
Heat and Fluid Flow Analysis and ANN-Based Prediction of A Novel Spring Corrugated Tape
Basma Souayeh, Suvanjan Bhattacharyya, Najib Hdhiri et al. · 2021 · Sustainability · 29 citations
A circular tube fitted with novel corrugated spring tape inserts has been investigated. Air was used as the working fluid. A thorough literature review has been done and this geometry has not been ...
Performance Study of Solar Air Heater Having Absorber Plate with Half-Perforated Baffles
B. K. Maheshwari, Rajendra Karwa, Sibendra Kumar Gharai · 2011 · ISRN Renewable Energy · 28 citations
The paper presents a detailed mathematical model for performance prediction of a smooth duct solar air heater validated against the experimental results. Experimental study on a solar air heater ha...
A Review of Energy and Exergy Analyses of a Roughened Solar Air Heater
Nguyen Minh Phu, Nguyễn Thành Luân · 2020 · Journal of Advanced Research in Fluid Mechanics and Thermal Sciences · 26 citations
In this paper, eleven roughness elements in solar air heater duct analysed both energy and exergy were reviewed. Various roughness geometries such as ribs, twisted tap, baffles, and metal waste wer...
Reading Guide
Foundational Papers
Start with Sukhmeet Singh et al. (2011, 91 citations) for discrete V-down rib exergy baseline, then Maheshwari et al. (2011, 28 citations) for perforated baffles, establishing core experimental and modeling methods.
Recent Advances
Study Ghritlahre and Prasad (2018, 47 citations) for ANN predictions and Bhattacharyya et al. (2021, 33 citations) for hybrid grooved tapes, highlighting machine learning and novel geometries.
Core Methods
Core techniques: exergy balance equations for destruction rates, ANN/Feed-Forward models for efficiency prediction, entropy generation minimization via numerical CFD (Prasad and Sahu, 2017; Ghritlahre, 2018).
How PapersFlow Helps You Research Exergy Analysis of Roughness-Enhanced Solar Air Heaters
Discover & Search
Research Agent uses searchPapers with query 'exergy analysis roughness solar air heater' to retrieve Sukhmeet Singh et al. (2011, 91 citations), then citationGraph maps 50+ citing papers on V-down ribs, and findSimilarPapers identifies Ghritlahre and Prasad (2018) for ANN predictions.
Analyze & Verify
Analysis Agent applies readPaperContent on Singh et al. (2011) to extract exergy efficiency equations, verifies reported 20-25% gains via verifyResponse (CoVe) against raw data, and runs PythonAnalysis with NumPy to recompute irreversibilities, graded A by GRADE for thermodynamic consistency.
Synthesize & Write
Synthesis Agent detects gaps in rib optimization across Reynolds numbers via gap detection, flags contradictions in friction factor predictions, then Writing Agent uses latexEditText to draft equations, latexSyncCitations for 10+ references, and latexCompile for a polished review section with exportMermaid flowcharts of exergy streams.
Use Cases
"Plot exergy efficiency vs Reynolds number for arc wire roughness from Ghritlahre 2018"
Research Agent → searchPapers → Analysis Agent → readPaperContent + runPythonAnalysis (pandas plot with matplotlib) → researcher gets CSV-exported graph with statistical R² verification.
"Write LaTeX section comparing exergy losses in V-down vs perforated baffles"
Research Agent → citationGraph (Singh 2011, Maheshwari 2011) → Synthesis → gap detection → Writing Agent → latexEditText + latexSyncCitations + latexCompile → researcher gets compiled PDF with cited equations.
"Find Python codes for ANN exergy prediction in roughened SAH"
Research Agent → paperExtractUrls (Ghritlahre 2018) → Code Discovery → paperFindGithubRepo → githubRepoInspect → researcher gets inspected ANN scripts with usage examples.
Automated Workflows
Deep Research workflow conducts systematic review of 50+ exergy papers: searchPapers → citationGraph → DeepScan (7-step verification with CoVe checkpoints) → structured report on roughness trends. Theorizer generates hypotheses on optimal rib aspect ratios from Singh et al. (2011) and Ghritlahre (2018) data patterns. DeepScan analyzes entropy generation in Prasad and Sahu (2017) with runPythonAnalysis for irreversibility minimization.
Frequently Asked Questions
What is exergy analysis in roughness-enhanced solar air heaters?
Exergy analysis quantifies irreversibilities from heat transfer and friction in roughened ducts, computing second-law efficiency as useful exergy output over input (Sukhmeet Singh et al., 2011).
What are common roughness methods studied?
Methods include discrete V-down ribs, arc-shaped wires, half-perforated baffles, and twisted tapes, evaluated for Nusselt and exergy gains (Ghritlahre and Prasad, 2018; Maheshwari et al., 2011).
What are key papers on this topic?
Sukhmeet Singh et al. (2011, 91 citations) on V-down ribs; Ghritlahre and Prasad (2018, 47 citations) on ANN for arc wires; Phu and Luân (2020, 26 citations) reviewing 11 roughness types.
What open problems exist?
Challenges include scalable ANN models for variable solar input, multi-objective optimization of hybrid roughness, and experimental data for entropy minimization under transient conditions (Bhattacharyya et al., 2021).
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Part of the Heat Transfer Mechanisms Research Guide