Investigation on the cost-effective optimal dimensions of a solar chimney with the Bees Algorithm
Abstract
Abstract
Solar chimney systems which consist of three main parts (collector, chimney, turbine) are one of the main thermal methods that produce electricity using solar energy. In a solar chimney, the high-power generation that can be obtained by increasing the design dimensions can also cause ineffective high investment costs. In this study, differing from the traditional design approach, a heuristic optimization method based on the Bees Algorithm is present to obtain the optimum design parameters (the chimney and collector dimensions) that are provided the more effective solutions. It is made for 3 configurations in order to prove the accuracy of the optimization study using different algorithm parameters. By using the obtained mathematical equations and the defined non-currency investment cost unit for a traditional solar chimney, the optimum design parameters that can provide more power output with acceptable costs are investigated. Two main objectives are taken into consideration namely maximizing efficiency of solar chimney system and minimizing investment cost. In the optimization process, within the ranges determined for the decision variables, the maximum and minimum dimensions are determined as 1293.05–1330.47 m for the collector diameter, 94–99 m for the chimney diameter and 783–792 m for the chimney height. The obtained results showed that this open to develop approach proposed within the scope of the study can be useful in the optimal design of solar chimney systems.
Keywords
- Optimization,
- Renewable energy,
- Solar chimney,
- Solar energy,
- The Bees Algorithm
References
- Yuliza et al. (2021) The effect of tilt angle and orientation of solar surface on solar rooftop miniature system in Bengkulu University 12(3) (pp. 589-598) https://doi.org/10.1007/s40095-021-00390-4
- Buyukzeren, R., et al., Experimental validation of performance parameters of an air source heat pump model
- .
- Gazi Univ. J. Sci. Part C Des. Technol.
- 9
- (4): 739–748
- Kaya et al. (2017) Renewable energy in Turkey: potential, current status and future aspects 15(1)
- dos Santos Bernardes (2010) Solar chimney power plants–developments and advancements 84(6) (pp. 978-953)
- Guzel (2021) The fuzzy logic-based modeling of a micro-scale sloped solar chimney power plant 35(3) (pp. 1301-1308) https://doi.org/10.1007/s12206-021-0241-9
- Toghraie (2018) Effects of geometric parameters on the performance of solar chimney power plants (pp. 1052-1061) https://doi.org/10.1016/j.energy.2018.08.086
- Ahmed and Hussein (2018) New design of solar chimney (case study) (pp. 105-112) https://doi.org/10.1016/j.csite.2017.12.008
- Guo (2019) Questions and current understanding about solar chimney power plant: a review (pp. 21-33) https://doi.org/10.1016/j.enconman.2018.12.063
- Okoye and Atikol (2014) A parametric study on the feasibility of solar chimney power plants in North Cyprus conditions (pp. 178-187) https://doi.org/10.1016/j.enconman.2014.01.009
- Tian (2020) New optimal design for a hybrid solar chimney, solid oxide electrolysis and fuel cell based on improved deer hunting optimization algorithm https://doi.org/10.1016/j.jclepro.2019.119414
- Muhammed and Atrooshi (2019) Modeling solar chimney for geometry optimization (pp. 212-223) https://doi.org/10.1016/j.renene.2019.01.068
- Asayesh et al. (2017) Optimization of a combined solar chimney for desalination and power generation (pp. 72-80) https://doi.org/10.1016/j.enconman.2017.08.006
- Dehghani and Mohammadi (2014) Optimum dimension of geometric parameters of solar chimney power plants–A multi-objective optimization approach (pp. 603-612) https://doi.org/10.1016/j.solener.2014.04.006
- Azad (2021) Multi-objective optimization of a solar chimney for power generation and water desalination using neural network https://doi.org/10.1016/j.enconman.2021.114152
- Ali (2017) Techno-economic optimization for the design of solar chimney power plants (pp. 461-473) https://doi.org/10.1016/j.enconman.2017.02.023
- Abdeen (2019) Solar chimney optimization for enhancing thermal comfort in Egypt: An experimental and numerical study (pp. 524-536) https://doi.org/10.1016/j.solener.2019.01.063
- Ketlogetswe et al. (2008) Solar chimney power generation project—The case for Botswana 12(7) (pp. 2005-2012) https://doi.org/10.1016/j.rser.2007.03.009
- Ucgul and Koyun (2010) Experimental investigations on performance and design parameters of solar chimney 16(3) (pp. 255-264)
- Guzel et al. (2021) Experimental study of a micro-scale sloped solar chimney power plant 35(12) (pp. 5773-5779) https://doi.org/10.1007/s12206-021-1146-3
- Köse (2018) Comparison of solar chimney power systems with PV and wind power systems 6(3) (pp. 121-129)
- Schlaich (2005) Design of commercial solar updraft tower systems—utilization of solar induced convective flows for power generation 127(1) (pp. 117-124) https://doi.org/10.1115/1.1823493
- Dewangan, S.K.: Effect of collector roof cum chimney divergence and exhaust fan on solar chimney power plant performance
- .
- Int. J. Energy Environ. Eng., 1–18 (2021)
- Pretorius, J.P., Kröger, D.G.: Thermoeconomic optimization of a solar chimney power plant. J. Solar Energy Eng.
- 130
- (2) (2008)
- Habibollahzade (2018) Exergoeconomic assessment and multi-objective optimization of a solar chimney integrated with waste-to-energy (pp. 30-41) https://doi.org/10.1016/j.solener.2018.10.016
- Habibollahzade (2021) Continuous power generation through a novel solar/geothermal chimney system: Technical/cost analyses and multi-objective particle swarm optimization https://doi.org/10.1016/j.jclepro.2020.124666
- Gunantara (2018) A review of multi-objective optimization: Methods and its applications 5(1) https://doi.org/10.1080/23311916.2018.1502242
- Esleman et al. (2021) Optimal PID and fuzzy logic based position controller design of an overhead crane using the Bees Algorithm 3(10) (pp. 1-13) https://doi.org/10.1007/s42452-021-04793-0
- Ghalamchi (2016) An experimental study on the thermal performance of a solar chimney with different dimensional parameters (pp. 477-483) https://doi.org/10.1016/j.renene.2016.01.091
- Cottam (2019) Solar chimney power plants–Dimension matching for optimum performance (pp. 112-123) https://doi.org/10.1016/j.enconman.2019.04.074
- Azimlu, F., et al. Designing solar chimney power plant using meta-modeling, multi-objective optimization, and innovization. In: International Conference on Evolutionary Multi-Criterion Optimization. Springer (2019)
- Sangi (2012) Performance evaluation of solar chimney power plants in Iran 16(1) (pp. 704-710) https://doi.org/10.1016/j.rser.2011.08.035
- Gholamalizadeh and Mansouri (2013) A comprehensive approach to design and improve a solar chimney power plant: a special case–Kerman project (pp. 975-982) https://doi.org/10.1016/j.apenergy.2012.06.012
- Pham, D.T., et al.: The bees algorithm—a novel tool for complex optimisation problems. In: Intelligent Production Machines and Systems. Elsevier, pp. 454–459 (2006)
- Onder (2021) Heuristic optimization of impeller sidewall gaps-based on the bees algorithm for a centrifugal blood pump by CFD 44(10) (pp. 765-772) https://doi.org/10.1177/03913988211023773
- Pham, D., et al.: Application of the bees algorithm to the training of radial basis function networks for control chart pattern recognition. In: Proceedings of 5th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME’06), Ischia, Italy (2006)
- Zeybek (2021) An improved bees algorithm for training deep recurrent networks for sentiment classification 13(8) https://doi.org/10.3390/sym13081347
- Bilgic (2021) Meta-heuristic tuning of the LQR weighting matrices using various objective functions on an experimental flexible arm under the effects of disturbance 46(8) (pp. 7323-7336) https://doi.org/10.1007/s13369-021-05428-7
- ArifSen et al. (2018) Optimisation of a PID controller for a two-floor structure under earthquake excitation based on the bees algorithm 37(1) (pp. 107-127) https://doi.org/10.1177/1461348418757906
- Sen et al. (2016) Determination of LQR controller parameters for stabilization and position control of double inverted pendulum using the bees algorithm 57(679) (pp. 53-62)
- Fahmy et al. (2012) Automatic design of control systems for robot manipulators using the bees algorithm 226(4) (pp. 497-508)
10.1007/s40095-022-00528-y