Volume 04 Issue 01-2024
12
American Journal Of Applied Science And Technology
(ISSN
–
2771-2745)
VOLUME
04
ISSUE
01
Pages:
12-17
SJIF
I
MPACT
FACTOR
(2021:
5.
705
)
(2022:
5.
705
)
(2023:
7.063
)
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
ABSTRACT
This study delves into the realm of optimizing energy efficiency through the transient simulation of waste heat
recovery from gas turbine exhaust. Termed "Heat Harvest," the research employs advanced simulation techniques to
model and analyze the dynamic behavior of waste heat recovery systems in the context of gas turbine operations. By
examining transient conditions, the study aims to uncover opportunities for enhancing energy recovery, improving
overall system performance, and contributing to sustainable energy practices. The findings provide valuable insights
for engineers, researchers, and industries seeking to harness the untapped potential of waste heat in gas turbine
applications.
KEYWORDS
Transient Simulation, Waste Heat Recovery, Gas Turbine Exhaust, Energy Efficiency, Heat Harvesting, Dynamic
Modeling, System Optimization, Sustainable Energy, Thermodynamic Analysis, Engineering Simulation.
INTRODUCTION
Research Article
HEAT HARVEST: OPTIMIZING ENERGY EFFICIENCY THROUGH
TRANSIENT SIMULATION OF WASTE HEAT RECOVERY FROM GAS
TURBINE EXHAUST
Submission Date:
December 24, 2023,
Accepted Date:
December 29, 2023,
Published Date:
January 03, 2024
Crossref doi:
https://doi.org/10.37547/ajast/Volume04Issue01-03
Nasir Muhamad
Mechanical Engineering Section, Malaysia Farance Institute, Universiti Kuala Lumpur, Malaysia
Majid Mansor
Department of Mechanical Engineering, Universiti Teknologi PETRONAS, Malaysia
Journal
Website:
https://theusajournals.
com/index.php/ajast
Copyright:
Original
content from this work
may be used under the
terms of the creative
commons
attributes
4.0 licence.
Volume 04 Issue 01-2024
13
American Journal Of Applied Science And Technology
(ISSN
–
2771-2745)
VOLUME
04
ISSUE
01
Pages:
12-17
SJIF
I
MPACT
FACTOR
(2021:
5.
705
)
(2022:
5.
705
)
(2023:
7.063
)
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
In the pursuit of sustainable and efficient energy
utilization, the recovery of waste heat has emerged as
a pivotal frontier, holding the promise of enhancing
overall system efficiency and mitigating environmental
impacts. This study, titled "Heat Harvest: Optimizing
Energy Efficiency through Transient Simulation of
Waste Heat Recovery from Gas Turbine Exhaust,"
embarks on a journey to explore the untapped
potential within gas turbine operations. By employing
advanced transient simulation techniques, we seek to
scrutinize the dynamic interplay of waste heat
recovery systems in response to the variable
conditions inherent in gas turbine exhaust.
Gas turbines, renowned for their efficiency in power
generation, release a substantial amount of thermal
energy through exhaust gases. Harnessing this waste
heat presents a significant opportunity to elevate
energy efficiency and reduce the carbon footprint of
these systems. Traditional steady-state models often
fall short in capturing the intricate dynamics of
transient conditions, prompting the need for advanced
simulation approaches.
The term "Heat Harvest" encapsulates our endeavor to
reap the full benefits of waste heat recovery, not
merely in steady-state scenarios but under the dynamic
conditions characteristic of gas turbine operations.
Through transient simulation, we aim to unveil insights
into the temporal variations of waste heat availability,
providing a foundation for optimizing recovery
systems in response to real-world fluctuations.
As we delve into the complexities of gas turbine
exhaust and waste heat recovery, this research
endeavors to contribute to the evolving landscape of
sustainable energy practices. By optimizing energy
efficiency through transient simulation, we anticipate
uncovering novel strategies and design considerations
that can propel the integration of waste heat recovery
into mainstream energy systems. The implications
extend beyond individual gas turbine applications,
fostering a broader conversation on dynamic modeling
and system optimization within the realm of
sustainable energy.
Through this exploration, "Heat Harvest" aspires to
not only advance the technical understanding of waste
heat recovery from gas turbine exhaust but also to
offer practical insights that resonate with engineers,
researchers, and industries navigating the dynamic
landscape of energy efficiency and sustainability.
METHOD
The journey of "Heat Harvest" towards optimizing
energy efficiency through transient simulation of
waste heat recovery from gas turbine exhaust unfolds
through a meticulous and dynamic process. The
research initiation involved the development of a
comprehensive model encapsulating the intricacies of
the gas turbine system and waste heat recovery
components. This model, tailored for transient
simulation, was crafted to embrace the dynamic nature
of gas turbine operations, accommodating load
fluctuations, start-up sequences, and shutdown
scenarios.
The heart of the process lies in the thermodynamic
analysis of gas turbine exhaust under transient
conditions. By
employing advanced
transient
simulation tools, the researchers dissected the
temporal variations in waste heat characteristics,
unraveling intricate details such as temperature
profiles, flow rates, and thermal gradients throughout
the operational cycle of the gas turbine. This step
provided a nuanced understanding of the dynamic
behavior of waste heat generation, laying the
groundwork for subsequent optimization.
Volume 04 Issue 01-2024
14
American Journal Of Applied Science And Technology
(ISSN
–
2771-2745)
VOLUME
04
ISSUE
01
Pages:
12-17
SJIF
I
MPACT
FACTOR
(2021:
5.
705
)
(2022:
5.
705
)
(2023:
7.063
)
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
The integration of various waste heat recovery systems
marked the next phase, where configurations such as
organic Rankine cycles, combined heat and power
setups, and heat exchangers were strategically
embedded into the simulation framework. The
transient simulation became a dynamic testing ground,
allowing researchers to assess the performance of
these recovery systems under diverse operational
conditions. The dynamic optimization algorithms came
into play, adjusting system parameters iteratively to
identify optimal configurations that maximize energy
recovery in response to the ever-changing conditions
of gas turbine operation.
Sensitivity analysis fortified the optimization process,
probing the resilience of proposed configurations to
uncertainties and variations in input parameters. This
step ensured that the derived optimization strategies
were robust and adaptable, capable of withstanding
real-world fluctuations and uncertainties.
The journey culminated in comparative assessments,
where the results obtained from transient simulation
and optimization were juxtaposed with those derived
from traditional steady-state models. This comparative
lens not only highlighted the advantages of transient
simulation in capturing dynamic waste heat recovery
but also emphasized the need for a paradigm shift in
understanding and optimizing energy efficiency in gas
turbine systems.
Through this dynamic and iterative process, "Heat
Harvest" aspires not only to advance the scientific
understanding of waste heat recovery from gas
turbine exhaust but also to offer practical insights that
resonate with engineers, researchers, and industries
seeking to harness the full potential of energy
efficiency in the dynamic landscape of gas turbine
operations.
The methodology employed in "Heat Harvest"
revolves around a comprehensive and dynamic
approach, leveraging transient simulation techniques
to optimize energy efficiency through waste heat
recovery from gas turbine exhaust.
System Modeling and Simulation Framework:
The study began by developing a detailed model of the
gas turbine system and the waste heat recovery
components. The transient simulation framework was
carefully designed to account for the dynamic nature
of gas turbine operations, considering factors such as
load fluctuations, start-up, and shutdown sequences.
This intricate model served as the foundation for
assessing the temporal variations in waste heat
availability.
Thermodynamic Analysis of Gas Turbine Exhaust:
Thermodynamic analysis was conducted to quantify
the magnitude and variability of waste heat in the gas
turbine exhaust under transient conditions. By
employing transient simulation tools, the researchers
scrutinized the heat characteristics, including
temperature profiles, flow rates, and thermal
gradients, over varying operational scenarios. This
analysis provided crucial insights into the dynamic
behavior of waste heat generation during the entire
gas turbine operation cycle.
Integration of Waste Heat Recovery Systems:
Various waste heat recovery systems were integrated
into the simulation framework, including organic
Rankine
cycles,
combined
heat
and
power
configurations, and heat exchangers. These systems
were strategically designed to capture and convert the
transient waste heat into useful energy. The transient
simulation allowed for a nuanced evaluation of the
performance of these recovery systems under
Volume 04 Issue 01-2024
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American Journal Of Applied Science And Technology
(ISSN
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2771-2745)
VOLUME
04
ISSUE
01
Pages:
12-17
SJIF
I
MPACT
FACTOR
(2021:
5.
705
)
(2022:
5.
705
)
(2023:
7.063
)
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
different operating conditions, shedding light on their
responsiveness to dynamic changes in waste heat
availability.
Dynamic Optimization Algorithms:
To enhance energy efficiency under transient
conditions, dynamic optimization algorithms were
employed. These algorithms iteratively adjusted the
parameters of the waste heat recovery systems in
response to the changing operational dynamics of the
gas turbine. The goal was to identify optimal
configurations that maximize energy recovery
throughout the entire transient cycle, considering
factors such as varying load demands and temporal
changes in waste heat characteristics.
Sensitivity Analysis:
Sensitivity analyses were conducted to assess the
robustness of the optimized waste heat recovery
configurations. The researchers explored the impact of
uncertainties and variations in input parameters on the
performance of the recovery systems. This step aimed
to ensure that the proposed optimization strategies
were resilient to real-world fluctuations and
uncertainties.
Comparative Assessments:
The results obtained from the transient simulation and
optimization
processes
were
compared
with
traditional
steady-state
models.
Comparative
assessments allowed the researchers to highlight the
advantages of the transient simulation approach in
capturing the dynamic nature of waste heat recovery
and optimizing energy efficiency in ways that steady-
state models may overlook.
By employing this multifaceted methodology, "Heat
Harvest" sought to push the boundaries of waste heat
recovery optimization, emphasizing the importance of
transient simulation in capturing the true potential of
energy efficiency enhancements in gas turbine
systems.
RESULTS
The results obtained from "Heat Harvest" reflect the
successful optimization of energy efficiency through
transient simulation of waste heat recovery from gas
turbine exhaust. Transient simulation allowed for a
nuanced exploration of the dynamic behavior of waste
heat under varying operational conditions. The
thermodynamic analysis revealed temporal variations
in waste heat characteristics, showcasing the potential
for energy recovery throughout the entire gas turbine
operational cycle.
The integration of various waste heat recovery systems
and the application of dynamic optimization
algorithms led to the identification of optimal
configurations. These configurations demonstrated
the ability to adapt to the changing dynamics of gas
turbine operations, maximizing energy recovery under
transient conditions. Sensitivity analysis confirmed the
robustness
of
the
optimized
configurations,
showcasing their resilience to uncertainties and
variations in input parameters.
DISCUSSION
The discussion centers around the implications of the
results, emphasizing the advantages of transient
simulation in capturing the true potential of waste heat
recovery. The dynamic nature of gas turbine
operations necessitates an approach that goes beyond
traditional steady-state models. The study delves into
the responsiveness of optimized configurations to real-
world fluctuations, load variations, and temporal
changes in waste heat characteristics.
Volume 04 Issue 01-2024
16
American Journal Of Applied Science And Technology
(ISSN
–
2771-2745)
VOLUME
04
ISSUE
01
Pages:
12-17
SJIF
I
MPACT
FACTOR
(2021:
5.
705
)
(2022:
5.
705
)
(2023:
7.063
)
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
Comparative discussions highlight the disparities
between transient simulation results and those derived
from steady-state models. The limitations of steady-
state models in capturing the dynamic interplay of
waste heat recovery are underscored, emphasizing the
importance of embracing transient simulation for
accurate and comprehensive optimization.
The potential for practical implementation of
optimized waste heat recovery systems in industrial
settings is a focal point of the discussion. The study
opens avenues for industries to enhance their energy
efficiency
by
adopting
transient
simulation
approaches, thereby unlocking previously untapped
potentials for waste heat recovery in gas turbine
applications.
CONCLUSION
In conclusion, "Heat Harvest" demonstrates that
optimizing energy efficiency through transient
simulation of waste heat recovery from gas turbine
exhaust is not only feasible but also imperative for
accurate and robust results. The research contributes
to a paradigm shift in the understanding of waste heat
recovery, emphasizing the significance of temporal
variations in gas turbine operations.
The optimized configurations derived from this study
hold promise for industries seeking to enhance their
energy efficiency and reduce their environmental
impact. By harnessing the full potential of waste heat
recovery through transient simulation, "Heat Harvest"
paves the way for a more sustainable and efficient
future in gas turbine applications. The study concludes
with a call to embrace dynamic modeling approaches
in the quest for energy optimization, recognizing the
transformative potential of transient simulation in
advancing sustainable energy practices.
REFERENCES
1.
Kaviri, A.G., M.N.M. Jaafar, M.L. Tholudin and G.
Shari
shourabi,
2013.
Modelling
and
exergoeconomic based design optimisation of
combined power plants. Energy Int. J. Exergy, 13:
141-158.
2.
Koo, K.H., M.R.R. Chand, H. Ibrahim, A. Abd Aziz
and F. Basrawi, 2015. Theoretical analysis on the
effect
of
operation
strategies
on
the
environmental performance of micro gas turbine
trigeneration system in tropical region. J. Mech.
Eng. Autom., 5: 19-25.
3.
Hordeski, M.F., 2011. Megatrends for Energy
Efficiency and Renewable Energy. The Fairmont
Press Inc., USA., ISBN-13: 9780881736328, Pages:
305.
4.
Dincer, I. and C. Zamfirescu, 2011. Sustainable
Energy Systems and Applications. Springer, New
York, USA., ISBN-13: 9780387958606, Pages: 816.
5.
Gronstedt, T., 2000. Development of Methods for
Analysis and Optimization of Complex Jet Engine
Systems. Chalmers University of Technology,
Sweden, ISBN: 9789171979100, Pages: 118.
6.
Baheta, A.T. and S.I. Gilani, 2010. Mathematical
modeling and simulation of a cogeneration plant. J.
Applied Thermal Eng., 30: 2545-2554.
7.
Wahab, A. and T. Ibrahim, 2016. The Effects of the
Temperatures on the Performance of the Gas
Turbine. In: The Latest Methods of Construction
Design, Dynybyl, V., O. Berka, K. Petr, F. Lopot and
M. Dub (Eds.).
8.
Savola, T. and I. Keppo, 2005. Off-design simulation
and mathematical modeling of small-scale CHP
plants at part loads. Applied Thermal Eng., 25: 1219-
1232.
9.
Consonni, S. and P. Silva, 2007. Off-design
performance of integrated waste-to-energy,
Volume 04 Issue 01-2024
17
American Journal Of Applied Science And Technology
(ISSN
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2771-2745)
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04
ISSUE
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Pages:
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SJIF
I
MPACT
FACTOR
(2021:
5.
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)
(2022:
5.
705
)
(2023:
7.063
)
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
combined cycle plants. Applied Thermal Eng., 27:
712-721.
10.
Sanaye, S. and M. Rezazadeh, 2007. Transient
thermal modelling of heat recovery steam
generators in combined cycle power plants. Int. J.
Energy Res., 31: 1047-1063.
11.
Descombes, G. and S. Boudigues, 2009. Modelling
of waste heat recovery for combined heat and
power applications. Applied Thermal Eng., 29:
2610-2616.
