Abstract
In this paper, a concept of balance is used to improve the important parameters of the thermal systems. In fact, using this concept give the designer to propose some new configuration which is more efficient. To show the benefit of this concept, firstly, the proposed balancing method is introduced for a simple case study after that its application is used in optimization of thermal systems. In this regard, to achieve the better optimal results in each problem, the unbalanced factors are detected and some solutions are presented to reduce the system unbalancing. Three case studies including Rankine cycle, plate fin heat exchanger, and double pipe heat exchanger are discussed and optimized to show the benefits of this method.
Similar content being viewed by others
Abbreviations
- A flow :
-
Free flow cross-sectional area(m2)
- A tot :
-
Total heat transfer area(m2)
- af :
-
Annualized factor (-)
- b :
-
Fin height(m)
- c :
-
Specific heat(j/kgK)
- c :
-
Fin pitch(m)
- C min :
-
Minimum of Ch and Cc (W/K)
- C max :
-
Maximum of Ch and Cc (W/K)
- C ∗ :
-
Heat capacity rate ratio (Cmin/Cmax)
- C in :
-
Investment cost ($/year)
- C op :
-
Operational cost ($/year)
- D e :
-
Heat transfer equivalent diameter (m)
- D h :
-
Hydraulic diameter (m)
- d i :
-
Tube inside diameter (m)
- d o :
-
Tube outside diameter (m)
- \( {\dot{E}}_D \) :
-
Rate of exergy destruction (kW)
- e :
-
Specific exergy destruction (kj/kg)
- f :
-
Friction factor (−)
- h :
-
Heat transfer coefficient (W/m2K)
- h :
-
Specific enthalpy (kj/kgK)
- j :
-
Colburn number (−)
- k W :
-
Wall conductivity (W/mK)
- L :
-
Tube length (m)
- L c :
-
Cold stream flow length(m)
- L h :
-
Hot stream flow length(m)
- L n :
-
No-flow length(m)
- \( \dot{m} \) :
-
Mass flow rate (kg/s)
- N :
-
Operational hours in a year
- Nu :
-
Nusselt number (−)
- NTU :
-
Number of transfer units (−)
- Pr :
-
Prandtl number (−)
- \( \dot{Q} \) :
-
Rate of heat transfer (W)
- Re:
-
Reynolds number (−)
- R f :
-
Fouling resistance (m2K/W)
- St :
-
Stanton number (−)
- TAC :
-
Total annual cost ($/year)
- t f :
-
Fin thickness(m)
- U :
-
Overall heat transfer coefficient (W/m2K)
- V :
-
Volumetric flow rate (m3/s)
- \( \dot{W} \) :
-
Power (W)
- x :
-
Fin length(m)
- ε :
-
Heat exchanger effectiveness(−)
- η :
-
Efficiency(−)
- β :
-
Ratio of hot and cold surface area(−)
- μ :
-
Viscosity (Pa.s)
- ΔP :
-
Pressure drop (Pa)
- σ :
-
Ratio betweenAflow and Afront (Aflow/Afront)
- ϕ e :
-
Unit price of electrical ($/kWh)
- a :
-
Actual
- b :
-
Boiler
- c :
-
Cold or condenser
- h :
-
Hot
- e:
-
Exhaust
- i :
-
Inlet
- P :
-
Pump
- s :
-
Isentropic
- T :
-
Turbine
- tot :
-
Total system
References
Bejan A, Lorente S, Miguel AF, Reis AH (2006) Constructal theory of distribution of river sizes. In: Advanced engineering thermodynamics, 3rd edn, chapter 13.5. John Wiley & Sons, Hoboken, pp 779–782
Cengel YA, Boles MA (2002) Thermodynamics: an engineering approach. McGraw-Hill, New York, pp 148–172
Gholami A, Ajabshirchi Y, Ranjbar SF (2019) Thermo-economic optimization of solar air heaters with arcuate-shaped obstacles. J Therm Anal Calorim 138:1395–1403
Hajabdollahi H (2015) Investigating the effect of non-similar fins in thermoeconomic optimization of plate fin heat exchanger. Appl Therm Eng 82:152–161
Hajabdollahi H, Ahmadi P, Dincer I (2011) Modeling and multi-objective optimization of plain fin and tube heat exchanger using evolutionary algorithm. Int J Thermophys Heat Transfer 3:424–431
Hajabdollahi F, Hajabdollahi Z, Hajabdollahi H (2012a) Thermo-economic modeling and optimization of underfloor heating using evolutionary algorithms. Energy Build 47:91–97
Hajabdollahi H, Ahmadi P, Dincer I (2012b) Exergetic optimization of shell-and-tube heat exchangers using NSGA-II. Heat Transfer Eng 33:618–628
Hajabdollahi H, Ganjehkaviri A, Jaafar MNM (2015) Assessment of new operational strategy in optimization of CCHP plant for different climates using evolutionary algorithms. Appl Therm Eng 75:468–480
Holland JH (1992) Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. MIT Press, Cambridge, pp 85–92
Kakac S, Hongtan L, Pramuanjaroenkij A (2012) Heat exchangers: selection, rating, and thermal design. CRC Press, Boca Raton, pp 39–52
Kays WM, London AL (1984) Compact heat exchangers, 3rd edn. Mc-Graw Hill, New York
Kennedy J (2010) Particle swarm optimization. Encyclopedia of Machine Learning. Springer, US, pp 760–766
Khorasaninejad E, Hajabdollahi H (2014) Thermo-economic and environmental optimization of solar assisted heat pump by using multi-objective particle swam algorithm. Energy 72:680–690
Li Y (2021) Lu S Study on the optimization of urban passenger traffic structure based on multi-objective linear programming—a case study of Beijing. Environ Sci Pollut Res 28:10192–10206. https://doi.org/10.1007/s11356-020-11358-y
Malik MZ, Musharavati F, Khanmohammadi S, Khanmohammadi S, Nguyen DD (2021) Solar still desalination system equipped with paraffin as phase change material: exergoeconomic analysis and multi-objective optimization. Environ Sci Pollut Res 28(1):220–234
Manglik RM, Bergles AE (1995) Heat transfer and pressure drop correlations for the rectangular offset-strip-fin compact heat exchanger. Exp Thermal Fluid Sci 10:171–180
Nujoom R, Mohammed A, Wang Q (2018) A sustainable manufacturing system design: a fuzzy multi-objective optimization model. Environ Sci Pollut Res 25:24535–24547
Panahizadeh F, Hamzehei M, Farzaneh-Gord M, Ochoa AAV (2020) Energy, exergy, economic analysis and optimization of single-effect absorption chiller network. J Thermal Anal Calorimetry 1-31
Sadeghi S, Maghsoudi P, Shabani B, Gorgani HH, Shabani NI (2019) Performance analysis and multi-objective optimization of an organic Rankine cycle with binary zeotropic working fluid employing modified artificial bee colony algorithm. J Therm Anal Calorim 136(4):1645–1665
Sanaye S, Hajabdollahi H (2010) Thermal-economic multi-objective optimization of plate fin heat exchanger using genetic algorithm. Appl Energy 87:1893–1902
Shah RK, Sekulic P (2003) Fundamental of heat exchanger design. Wiley, Hoboken, pp 202–214
Author information
Authors and Affiliations
Contributions
H. Hajabdollahi suggested the idea and stated the theory. M. Shafiey performed optimization. M. Shafiey wrote the manuscript with support from H. Hajabdollahi. All authors discussed the results and contributed to the final manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Not applicable
Consent for publication
Not applicable
Availability of data and materials
The data will be made available on request.
Competing interests
The authors declare that they have no competing interests.
Additional information
Responsible Editor: Marcus Schulz
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Hajabdollahi, H., Shafiey Dehaj, M. Optimization of energy systems using the concept of balance in the nature. Environ Sci Pollut Res 28, 37580–37591 (2021). https://doi.org/10.1007/s11356-021-13421-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-021-13421-8