Multi-objective optimization of a solar-hybrid cogeneration cycle: Application to CGAM problem

Soltani, Reza; Keleshtery, Payam Mohammadzadeh; Vahdati, Maria; KhoshgoftarManesh, Mohammad Hasan; Rosen, Marc A.; Amidpour, Majid

doi:10.1016/j.enconman.2014.02.013

Cited by 51 publications

(16 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The conditions at which energy and emission benefits occur, and their extent with respect to classical generation means, are illustrated through various numerical examples, highlighting the generality and effectiveness of the models introduced [14]. A comparative parametric analysis was carried out in a small-scale combined heat and power plant incorporating a heat pump and the conventional system in which heat is produced in a hot water boiler and electrical energy is drawn from the power grid [15].…”

Section: Cogeneration Systems' Benefitsmentioning

confidence: 99%

Contribution of the Cogeneration Systems to Environment and Sustainability

Çomaklı

Çakır

Kuş

et al. 2018

Exergy for a Better Environment and Improved Sustainability 2

View full text Add to dashboard Cite

A lower consumption of thermal energy will contribute not only to a reduction in the running costs, but also in the reduction of pollutant emissions that contribute to the greenhouse effect. Cogeneration or CHP (Combined Heat and Power) is the system that produces power and usable heat simultaneously by decreasing the pollutant emissions and increasing the efficiency. Combined production of mechanical or electrical and thermal energy using a simple energy source, such as oil, coal, natural or liquefied gas, biomass or the sun; affords remarkable energy savings and frequently makes it possible to operate with greater efficiency when compared to a system producing heat and power separately. This study aims to bring out the contributions of cogeneration systems to the environment and sustainability by saving the energy and reducing the emissions. In this way we made a comprehensive investigation in the literature by focusing on the environmental aspects of the cogeneration systems. In the light of these studies we reached that, cogeneration systems must be consider in sustainability and their benefits on protecting the ecology must be investigated.

show abstract

Section: Cogeneration Systems' Benefitsmentioning

confidence: 99%

Contribution of the Cogeneration Systems to Environment and Sustainability

Çomaklı

Çakır

Kuş

et al. 2018

Exergy for a Better Environment and Improved Sustainability 2

View full text Add to dashboard Cite

show abstract

“…Atashkari et al have applied a multi-objective artificial bee colony algorithm to optimize the same CGAM problem [18]. Soltani et al have implemented genetic algorithms for multiobjective optimization of a CGAM problem [19].…”

Section: Introductionmentioning

confidence: 99%

Optimization of power and heating systems based on a new hybrid algorithm

Mahmoodabadi

Ghavimi

Mahmoudi

2015

Alexandria Engineering Journal

View full text Add to dashboard Cite

A novel combination of Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) is applied on a base case cogeneration optimization problem called the modified CGAM problem with two objective functions. The first objective function, the exergetic efficiency, should be maximized and the second one is the total cost rate that should be minimized. The effects of important parameters, such as equivalence ratio, emission, and unit cost of fuel are studied on the exergetic and economic performance of the system. ª 2015 Faculty of Engineering, Alexandria University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

show abstract

“…The system was capable of generating 50 kW electricity with 50% thermal efficiency. Soltani et al performed a detailed exergy and economic analysis on a hybrid solar cogeneration cycle and optimized the plant through a genetic algorithm. This hybridization method resulted in a 48% reduction in fossil fuel consumption and also decreased the chemical exergy destruction of the plant.…”

Section: Introductionmentioning

confidence: 99%

Thermoeconomic analysis and multiobjective optimization of a combined gas turbine, steam, and organic Rankine cycle

Mohammadi

Ashouri

Ahmadi

et al. 2018

Energy Science & Engineering

View full text Add to dashboard Cite

Because of the fossil fuels crisis in recent years, efficient working of power producing cycles has gained considerable importance. This study presents a detailed exergoeconomic analysis of a proposed combination of a gas turbine (GT), a steam Rankine cycle (SRC), and an organic Rankine cycle (ORC), which are coupled together to obtain the maximum heat recovery of the GT exhaust gas. The proposed cycle was analyzed from both thermodynamic and economic viewpoints. The exergy efficiency and product cost rate of the introduced cycle were optimized simultaneously using multiobjective optimization with seven decision variables, including steam turbine inlet pressure and temperature, ORC turbine inlet pressure, ORC and steam turbine back pressures, and pinch point of heat exchangers. Sensitivity analysis revealed that the steam turbine back pressure and inlet pressure had the highest impact on product cost rate and exergy efficiency, followed by ORC turbine inlet pressure and back pressure. Also, the exergoeconomic analysis showed that the combustion chamber had the highest sum of exergy destruction costs and investment costs; more attention should thus be paid to its design procedure. Under the design conditions, the exergy efficiency of 40.75% and product cost rate of 439 million $/year could be achieved.

show abstract

Multi-objective optimization of a solar-hybrid cogeneration cycle: Application to CGAM problem

Cited by 51 publications

References 24 publications

Contribution of the Cogeneration Systems to Environment and Sustainability

Contribution of the Cogeneration Systems to Environment and Sustainability

Optimization of power and heating systems based on a new hybrid algorithm

Thermoeconomic analysis and multiobjective optimization of a combined gas turbine, steam, and organic Rankine cycle

Contact Info

Product

Resources

About