Optimization of an adapted Kalina cycle to an actual municipal solid waste power plant by using NSGA-II method
Özet
In this paper thermodynamic and thermoeconomic analyses and even optimization of a Kalina cycle (KC) which is adapted to an actual solid waste power plant with a 5.66 MW installed capacity are presented as an alternative solution which is utilized to produce additional power from the exhaust gas of the plant. Up to now there is almost no study related with an adapted KC to a typical municipal solid waste power plant, and also no study based on an optimization, thermodynamic and thermoeconomic analyses of such a system together. All these facts show the novelty of this study. Herein the waste heat with a temperature of 566 °C is utilized by the adapted KC. According to the analyses of the first and second law of thermodynamics on the system, it is deduced that the electricity of 954.6 kW can be produced with the exergy efficiency of 24.15%. Furthermore, this power production can be improved by using non-dominated sorting genetic algorithm method (NSGA-II) in MATLAB software program. According to the optimization study, the deviations of the net power output and the total cost rate are found to be +3.62% and −1.47 $/h, respectively for the cycle.
Anahtar Kelimeler
- Scopus
- 45
- WoS
- 36
- OpenAlex
- 49
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Özahi, Emrah | |
| dc.contributor.author | Tozlu, Alperen | |
| dc.date.accessioned | 2026-10-29T19:09:02.822924485Z | |
| dc.date.available | 2026-10-29T19:09:02.822924485Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | In this paper thermodynamic and thermoeconomic analyses and even optimization of a Kalina cycle (KC) which is adapted to an actual solid waste power plant with a 5.66 MW installed capacity are presented as an alternative solution which is utilized to produce additional power from the exhaust gas of the plant. Up to now there is almost no study related with an adapted KC to a typical municipal solid waste power plant, and also no study based on an optimization, thermodynamic and thermoeconomic analyses of such a system together. All these facts show the novelty of this study. Herein the waste heat with a temperature of 566 °C is utilized by the adapted KC. According to the analyses of the first and second law of thermodynamics on the system, it is deduced that the electricity of 954.6 kW can be produced with the exergy efficiency of 24.15%. Furthermore, this power production can be improved by using non-dominated sorting genetic algorithm method (NSGA-II) in MATLAB software program. According to the optimization study, the deviations of the net power output and the total cost rate are found to be +3.62% and −1.47 $/h, respectively for the cycle. | |
| dc.description.sponsorship | TUB?TAK | |
| dc.description.sponsorship | TUBİTAK | |
| dc.description.sponsorship | Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAK, (114M142) | |
| dc.identifier.doi | 10.1016/j.renene.2019.10.102 | |
| dc.identifier.eissn | 1879-0682 | |
| dc.identifier.endpage | 1156 | |
| dc.identifier.issn | 0960-1481 | |
| dc.identifier.scopus | 2-s2.0-85074394353 | |
| dc.identifier.startpage | 1146 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/bayburt/11984 | |
| dc.identifier.volume | 149 | |
| dc.identifier.wos | WOS:000517856500096 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier Ltd | |
| dc.relation.ispartof | Renewable Energy | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Genetic algorithm | |
| dc.subject | Kalina cycle | |
| dc.subject | Optimization | |
| dc.subject | Waste heat recovery | |
| dc.subject.classification | Green & Sustainable Science & Technology | |
| dc.subject.classification | Energy & Fuels | |
| dc.subject.classification | Science & Technology - Other Topics | |
| dc.subject.other | Electric power generation | |
| dc.subject.other | Genetic algorithms | |
| dc.subject.other | MATLAB | |
| dc.subject.other | Optimization | |
| dc.subject.other | Power plants | |
| dc.subject.other | Thermodynamics | |
| dc.subject.other | Waste heat | |
| dc.subject.other | Waste heat utilization | |
| dc.subject.other | Alternative solutions | |
| dc.subject.other | Exergy efficiencies | |
| dc.subject.other | Kalina cycle | |
| dc.subject.other | MATLAB software program | |
| dc.subject.other | Non- dominated sorting genetic algorithms | |
| dc.subject.other | Optimization studies | |
| dc.subject.other | Second Law of Thermodynamics | |
| dc.subject.other | Thermoeconomic analysis | |
| dc.subject.other | genetic algorithm | |
| dc.subject.other | municipal solid waste | |
| dc.subject.other | numerical method | |
| dc.subject.other | power plant | |
| dc.subject.other | recovery | |
| dc.title | Optimization of an adapted Kalina cycle to an actual municipal solid waste power plant by using NSGA-II method | |
| dc.type | Article | |
| rdl.citation.openalex | 49 | |
| rdl.citation.scopus | 45 | |
| rdl.citation.wos | 36 | |
| rdl.oa.status | closed | |
| rdl.scopus.quartile | Q1 | |
| rdl.sdg | SDG07 | |
| rdl.sdg | SDG12 | |
| rdl.sdg | SDG09 | |
| rdl.sdg | SDG13 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.wos.index | Science Citation Index Expanded (SCI-EXPANDED) |




