Subtopic Deep Dive
Thermal Energy Storage Systems
Research Guide
What is Thermal Energy Storage Systems?
Thermal Energy Storage Systems (TESS) store thermal energy through sensible, latent, and thermochemical processes for integration with power and cooling systems analyzed via thermodynamic and exergetic methods.
TESS enable charging-discharging cycles to mitigate renewable intermittency in cogeneration. Key types include ice storage for gas turbine cooling (Shirazi et al., 2014, 124 citations) and liquid air energy storage for renewables (Damak et al., 2019, 167 citations). Over 10 papers from 1997-2023 analyze their exergetic performance.
Why It Matters
TESS improve grid reliability by storing excess renewable energy, as in Carnot batteries for power-cooling hybrids (Vecchi et al., 2022, 159 citations). Ice TESS reduce gas turbine fuel use by 10-15% via inlet air cooling (Shirazi et al., 2014). Liquid air systems support large-scale renewable integration (Damak et al., 2019), while exergoeconomic analyses optimize costs in cascade refrigeration (Mosaffa et al., 2016, 252 citations). Cornelissen (1997, 149 citations) links exergy-based TESS to sustainable development by minimizing irreversibilities.
Key Research Challenges
Exergy Losses in Cycles
Charging-discharging induces high irreversibilities, reducing round-trip efficiency below 60% in ice TESS (Shirazi et al., 2014). Carnot batteries face similar losses in heat transfer (Vecchi et al., 2022). Mitigation requires advanced exergetic modeling.
Material Degradation
Phase change materials in latent storage degrade over cycles, impacting long-term viability (Damak et al., 2019). Thermochemical options suffer sorption hysteresis. Economic analyses highlight replacement costs (Lemmens, 2016).
Multi-Objective Optimization
Balancing exergetic, economic, and environmental metrics demands complex 3E analyses (Aminyavari et al., 2014, 225 citations). SOFC hybrids with desalination add desalination constraints (Najafi et al., 2013). Genetic algorithms often used for Pareto fronts.
Essential Papers
Exergoeconomic and environmental analyses of CO2/NH3 cascade refrigeration systems equipped with different types of flash tank intercoolers
A.H. Mosaffa, L. Garousi Farshi, C.A. Infante Ferreira et al. · 2016 · Energy Conversion and Management · 252 citations
Exergetic, economic and environmental (3E) analyses, and multi-objective optimization of a CO2/NH3 cascade refrigeration system
Mehdi Aminyavari, Behzad Najafi, Alec Shirazi et al. · 2014 · Applied Thermal Engineering · 225 citations
Performance Analysis of a New Electricity and Freshwater Production System Based on an Integrated Gasification Combined Cycle and Multi-Effect Desalination
Farzad Hamrang, Afshar Shokri, S.M. Seyed Mahmoudi et al. · 2020 · Sustainability · 175 citations
Integrated biomass gasification combined cycles can be advantageous for providing multiple products simultaneously. A new electricity and freshwater generation system is proposed based on the integ...
Liquid Air Energy Storage (LAES) as a large-scale storage technology for renewable energy integration – A review of investigation studies and near perspectives of LAES
Cyrine Damak, Denis Leducq, Hong‐Minh Hoang et al. · 2019 · International Journal of Refrigeration · 167 citations
Cost Engineering Techniques and Their Applicability for Cost Estimation of Organic Rankine Cycle Systems
Sanne Lemmens · 2016 · Energies · 159 citations
The potential of organic Rankine cycle (ORC) systems is acknowledged by both considerable research and development efforts and an increasing number of applications. Most research aims at improving ...
Carnot Battery development: A review on system performance, applications and commercial state-of-the-art
Andrea Vecchi, Kai Knobloch, Ting Liang et al. · 2022 · Journal of Energy Storage · 159 citations
Thermodynamics and sustainable development
R. Cornelissen · 1997 · 149 citations
It is the objective of this thesis to demonstrate exergy analysis as a powerful instrument to obtain sustainable development. An important aspect of sustainable development is the minimisation of i...
Reading Guide
Foundational Papers
Start with Cornelissen (1997, 149 citations) for exergy-sustainability framework, then Shirazi et al. (2014, 124 citations) for ice TESS benchmark and Aminyavari et al. (2014, 225 citations) for 3E optimization methods.
Recent Advances
Vecchi et al. (2022, 159 citations) on Carnot batteries; Damak et al. (2019, 167 citations) on LAES; Villarreal Vives et al. (2023, 120 citations) on hydrogen-TESS synergies.
Core Methods
Exergy balance equations, SPECO exergoeconomic factoring, NSGA-II multi-objective optimization, and sensitivity analysis on charging-discharging cycles.
How PapersFlow Helps You Research Thermal Energy Storage Systems
Discover & Search
Research Agent uses searchPapers and citationGraph on 'ice thermal energy storage gas turbine' to map 20+ papers from Shirazi et al. (2014), then exaSearch uncovers LAES extensions like Damak et al. (2019). findSimilarPapers expands to Carnot batteries (Vecchi et al., 2022).
Analyze & Verify
Analysis Agent applies readPaperContent to Shirazi et al. (2014) for exergy data, verifyResponse (CoVe) checks efficiency claims against Cornelissen (1997), and runPythonAnalysis replots Pareto fronts with NumPy/pandas. GRADE scores evidence strength for 3E tradeoffs.
Synthesize & Write
Synthesis Agent detects gaps in LAES exergetics post-Damak et al. (2019), flags contradictions in cycle efficiencies. Writing Agent uses latexEditText for TESS diagrams, latexSyncCitations for 10-paper bibliographies, latexCompile for report PDF, exportMermaid for Sankey exergy flows.
Use Cases
"Compute round-trip efficiency of ice TESS from Shirazi 2014 using Python."
Research Agent → searchPapers → Analysis Agent → readPaperContent (Shirazi et al., 2014) → runPythonAnalysis (NumPy exergy calculator) → matplotlib efficiency plot and CSV export.
"Write LaTeX section on exergoeconomic TESS optimization citing Aminyavari 2014."
Synthesis Agent → gap detection → Writing Agent → latexEditText (draft) → latexSyncCitations (10 papers) → latexCompile → PDF with TESS cycle figure.
"Find GitHub repos implementing Carnot battery models from Vecchi 2022."
Research Agent → citationGraph (Vecchi et al., 2022) → Code Discovery → paperExtractUrls → paperFindGithubRepo → githubRepoInspect → Python simulation notebooks.
Automated Workflows
Deep Research workflow scans 50+ TESS papers via searchPapers → citationGraph, generating structured 3E review report with GRADE scores. DeepScan applies 7-step CoVe to verify Shirazi et al. (2014) optimizations. Theorizer hypothesizes novel latent TESS for SOFC hybrids from Najafi et al. (2013).
Frequently Asked Questions
What defines Thermal Energy Storage Systems?
TESS encompass sensible (water tanks), latent (ice/phase change), and thermochemical storage integrated with power-cooling via exergetic analysis.
What are key methods in TESS analysis?
Exergoeconomic 3E modeling and multi-objective optimization using genetic algorithms, as in Aminyavari et al. (2014) and Shirazi et al. (2014).
What are seminal papers on TESS?
Shirazi et al. (2014, 124 citations) on ice TESS for turbines; Damak et al. (2019, 167 citations) on LAES; Vecchi et al. (2022, 159 citations) on Carnot batteries.
What open problems exist in TESS?
Reducing exergy losses below 40%, scaling thermochemical storage economically, and integrating with renewables under variable loads.
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