Multi-objective optimization for a small biomass cooling and power cogeneration system using binary mixtures

Sotomonte, César Adolfo Rodriguez; Veloso, Thiago Gotelip Correa; Coronado, Christian Jeremi R.; Nascimento, Marco A. R.

doi:10.1016/j.applthermaleng.2020.116045

Cited by 14 publications

(2 citation statements)

References 55 publications

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“…MOO has also been used to evaluate efficiency trade-offs in heat exchangers within industries that operate with organic Rankine cycles, evaluating thermodynamic variables to obtain results that showed that the heat exchanger design could be optimized, reducing its area by 36% with an efficiency penalty of only 1%, thus optimizing production costs [79]. On the same note, researchers found the optimal design for a small-scale co-generation system using an ORC, maximizing electrical and cooling power whilst minimizing the overall conductance of the cycle [80]. Most of the works considered using the -constraint method to find the Pareto optimum for the problem [81][82][83].…”

Section: Application Of Moo To Energy Production Storage and Distribu...mentioning

confidence: 99%

Applications of Multi-Objective Optimization to Industrial Processes: A Literature Review

2022

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Industrial processes provide several of the products and services required for society. However, each industry faces different challenges from different perspectives, all of which must be reconciled to obtain profitable, productive, controllable, safe and sustainable processes. In this context, multi-objective optimization has become a powerful tool to aid the decision-making mechanism in the synthesis, design, operation and control of such processes. The solution to the mathematical models provides the necessary tools to asses the system performance in terms of different metrics and evaluate the trade-offs between the objectives in conflict. The number of applications of multi- objective optimization in industrial processes is ample and each application has its own challenges. In the present literature review, a broad panorama of the applications in multi-objective optimization is presented, including future perspectives and open questions that still need to be addressed.

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Section: Application Of Moo To Energy Production Storage and Distribu...mentioning

confidence: 99%

Applications of Multi-Objective Optimization to Industrial Processes: A Literature Review

2022

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“…They designed and tested several small solar ORC systems with monochlorobenzene as the working fluid, and the system power outputs were 2 kW and 10 kW. Since then, ORC has been widely used for heat recovery from low-temperature sources, including biomass combustion [2][3][4], geothermal heat [5,6], industrial waste heat [7,8], and solar thermal heat [9][10][11][12]. The working fluid used in the ORC system plays a very important role in the overall cycle efficiency.…”

Section: Introductionmentioning

confidence: 99%

Design of Radial-Inflow Turbines for Low-Temperature Organic Rankine Cycle

Zhang

Tang

2023

Machines

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This study presents the development of a design method that has been extended to the design of radial-inflow turbines operating in organic Rankine cycles (ORC). Both the conventional design method and the circulation method available in the literature have been reviewed. The two main limitations of the current circulation method that make it not suitable for the ORC turbine design are the lack of real gas capability and 3D blades with high stresses. Using the circulation method, the flow field is decomposed into a potential part and a rotational part. The mean velocity field and the periodic velocity field are solved separately. To model the thermodynamic properties of the real gas, NIST REFPROP or CoolProp are used. The blade geometry is then solved iteratively by assuming that the velocity vector is parallel to the blade surface. The blade boundary condition is modified to force the blade camber to be radial-fibred, which is helpful to reduce the centrifugal bending stress on the blade. All the formulations are derived step by step, and the numerical treatments, including grid generation, numerical differentiation, computational scheme, and convergence, are discussed in detail. This method is validated by designing a R245fa ORC turbine rotor. The performance of the rotor design is predicted by CFD and FEA simulations, and it is compared to the results using other methodologies in the literature.

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Performance response analysis and optimization for integrated renewable energy systems using biomass and heat pumps: a multi-objective approach

Dong,

Qing,

et al. 2024

Carb Neutrality

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The focus of this study is to optimize the exploration of biomass-driven multi-energy systems, which include combined heat, power, and gas generation. The objective is to enhance the thermal, environmental, and economic performance indicators of the system. The optimization objectives encompass the quantities of internal combustion engines and air source heat pumps, as well as the dimensions of tanks utilized for anaerobic fermentation. A mathematical model was developed to optimize multiple objectives for combined heat, power, and gas generation systems by employing multi-objective intelligent optimization algorithms. The validation and analysis were conducted using rural residences in Lanzhou, Gansu Province, China, as a case study. The sensitivity analysis of biomass gasification combined heat and power systems was conducted from both technical and cost perspectives, examining the dynamic impact characteristics on the outcomes of multi-objective optimization. The findings indicate that the annual energy-saving rate of the optimized combined generation system decreased from 3.62% to -6.78%, while the growth in carbon emissions reduction rate increased from 76.05 to 81.38%, and the annual cost-saving rate grew from 0.97 to 14.96%. The power generation efficiency of the cogeneration station and hydraulic retention time were found to have a significant impact on the multi-objective optimization results of the combined generation system among the technical parameters. The unit cost of anaerobic fermentation tanks had a more significant impact on the multi-objective optimization results in terms of cost parameters, compared to the price of biogas residue.

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Multi-objective optimization for a small biomass cooling and power cogeneration system using binary mixtures

Cited by 14 publications

References 55 publications

Applications of Multi-Objective Optimization to Industrial Processes: A Literature Review

Applications of Multi-Objective Optimization to Industrial Processes: A Literature Review

Design of Radial-Inflow Turbines for Low-Temperature Organic Rankine Cycle

Performance response analysis and optimization for integrated renewable energy systems using biomass and heat pumps: a multi-objective approach

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