Multi-objective optimization of organic Rankine cycles for waste heat recovery: Application in an offshore platform

Pierobon, Leonardo; Nguyen, Tuong-Van; Larsen, Ulrik; Haglind, Fredrik; Elmegaard, Brian

doi:10.1016/j.energy.2013.05.039

Cited by 173 publications

(92 citation statements)

References 31 publications

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“…Compared to the single solution returned by a single-objective optimizer, knowing the Pareto frontier is very useful in practice because: 1) it indicates not just one but a space of good solutions, allowing the designer to select the solution which best matches the installation constraints; 2) it graphically plots the trade-off between the different objectives (e.g., the gain of power which could be achieved by increasing the weight by a certain amount); and 3) it is possible to derive general criteria by analyzing the features of the Pareto-optimal solutions. As a consequence, MO algorithms have been extensively applied to the design of HRSCs in dual-pressure [16] and other combined cycles [17], Organic Rankine Cycles on offshore platforms [18] and for low grade waste heat [19], and novel energy systems [20].…”

Section: Introductionmentioning

confidence: 99%

Weight and power optimization of steam bottoming cycle for offshore oil and gas installations

Nord

Martelli

Bolland

2014

Energy

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Offshore oil and gas installations are mostly powered by simple cycle gas turbines. To increase the efficiency, a steam bottoming cycle could be added to the gas turbine. One of the keys to the implementation of combined cycles on offshore oil and gas installations is for the steam cycle to have a low weight-to-power ratio. In this work, a detailed combined cycle model and numerical optimization tools were used to develop designs with minimum weight-to-power ratio. Within the work, single-objective optimization was first used to determine the solution with minimum weight-to-power ratio, then multi-objective optimization was applied to identify the Pareto frontier of solutions with maximum power and minimum weight. The optimized solution had process variables leading to a lower weight of the heat recovery steam generator while allowing for a larger steam turbine and condenser to achieve a higher steam cycle power output than the reference cycle. For the multi-objective optimization, the designs on the Pareto front with a weight-to-power ratio lower than in the reference cycle showed a high heat recovery steam generator gas-side pressure drop and a low condenser pressure.Keywords: black-box optimization, multi-objective optimization, genetic algorithm, combined cycle, process simulation, heat recovery

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Section: Introductionmentioning

confidence: 99%

Weight and power optimization of steam bottoming cycle for offshore oil and gas installations

Nord

Martelli

Bolland

2014

Energy

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“…The solar field considered in this model is comprised of 134 collectors which are single axis tracking and aligned on a north-south line. The heat transfer oil in the absorber tube for the collectors and the thermal storage was Therminol VP-1 [15] and cyclopentane was used as the refrigerant in the ORC [16][17][18]. Water was the working fluid and LiBr-H2O is the absorbent in the single absorption chiller used to produce the cooling load and the desalination used to produce the fresh water from seawater.…”

Section: System Descriptionmentioning

confidence: 99%

Exergetic Analysis of an Integrated Tri-Generation Organic Rankine Cycle

Mathkor

Agnew

Al-Weshahi³

et al. 2015

Energies

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This paper reports on a study of the modelling, validation and analysis of an integrated 1 MW (electrical output) tri-generation system energized by solar energy. The impact of local climatic conditions in the Mediterranean region on the system performance was considered. The output of the system that comprised a parabolic trough collector (PTC), an organic Rankine cycle (ORC), single-effect desalination (SED), and single effect LiBr-H2O absorption chiller (ACH) was electrical power, distilled water, and refrigerant load. The electrical power was produced by the ORC which used cyclopentane as working fluid and Therminol VP-1 was specified as the heat transfer oil (HTO) in the collectors with thermal storage. The absorption chiller and the desalination unit were utilize the waste heat exiting from the steam turbine in the ORC to provide the necessary cooling energy and drinking water respectively. The modelling, which includes an exergetic analysis, focuses on the performance of the solar tri-generation system. The simulation results of the tri-generation system and its subsystems were produced using IPSEpro software and were validated against experimental data which showed good agreement. The tri-generation system was able to produce about 194 Ton of refrigeration, and 234 t/day distilled water.

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“…They used this approach to retrieve the waste heat from gas turbines SGI-500 installed on draugen oil and gas platform in the North Sea. Optimization results showed that the thermal efficiency and net present value for cyclopentane are higher than acetone [11]. Wang et al [21] used a genetic algorithm as the optimization method for a comparative study of ORC and working fluid R-134A, for low-grade waste heat regenerator.…”

Section: Introductionmentioning

confidence: 99%

“…Pierobon et al [11] found the MW-size optimal organic Rankine cycles using the multi-objective optimization with genetic algorithms. They had three objective functions: the thermal efficiency, the total volume of the system, and the net present value.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and optimization of organic Rankine cycle (ORC) with algorithms NSGA-II, MOPSO, and MOEA for eight coolant fluids

Ghasemian

Ehyaei

2017

Int J Energy Environ Eng

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In this study, a simple organic cycle for eight subcritical coolant fluids has been studied thermodynamically and economically. For all the coolants, the present cycle was optimized for the best thermal and exergy efficiencies and the best cost of energy production. In a multipurpose procedure, using the three methods NSGA-II, MOPSO, and MOEA/D, design variables in the optimization are the inlet turbine pressure and temperature, the pinch temperature difference, the proximity temperature difference in regenerator exchanger, and condenser temperature difference. The optimization results show that, in all three methods, the impact of the parameters' inlet turbine temperature and pressure on the three objective functions is much more than other design parameters. Coolant with positive temperature gradients shows a better performance but lower produced power. In optimization methods, among all the coolants, the MOPSO method showed higher thermal and energy efficiency, and the MOEA/D showed lower production power costs. In terms of the rate of convergence, also both the MOPSO and NSGA-II methods showed better performance. The fluid R 11 with the 25.7% thermal efficiency, 57.3% exergy efficiency, and 0.054 USD cost per kWh showed the best performance among all of the coolants.

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Multi-objective optimization of organic Rankine cycles for waste heat recovery: Application in an offshore platform

Cited by 173 publications

References 31 publications

Weight and power optimization of steam bottoming cycle for offshore oil and gas installations

Weight and power optimization of steam bottoming cycle for offshore oil and gas installations

Exergetic Analysis of an Integrated Tri-Generation Organic Rankine Cycle

Evaluation and optimization of organic Rankine cycle (ORC) with algorithms NSGA-II, MOPSO, and MOEA for eight coolant fluids

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