Optimal Design of Biomass Combined Heat and Power System Using Fuzzy Multi-Objective Optimisation: Considering System Flexibility, Reliability, and Cost

Process Integration and Optimization for Sustainability ◽

10.1007/s41660-020-00137-4 ◽

2020 ◽

Author(s):

Tommy Asni ◽

Viknesh Andiappan

Keyword(s):

Optimal Design ◽

Power System ◽

Combined Heat And Power ◽

Multi Objective

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Evolutionary algorithm for multi-objective exergoeconomic optimization of biomass waste gasification combined heat and power system

2009 7th IEEE International Conference on Industrial Informatics ◽

10.1109/indin.2009.5195831 ◽

2009 ◽

Author(s):

B. Fakhimghanbarzadeh ◽

B. Farhanieh ◽

H. Marzi ◽

A. Javadzadegan

Keyword(s):

Power System ◽

Evolutionary Algorithm ◽

Combined Heat And Power ◽

Biomass Waste ◽

Multi Objective ◽

Waste Gasification

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Optimal Design of Parameters and Coupling study on Multi-objective of a Combined Cooling Heating and Power System

2018 International Conference on Power System Technology (POWERCON) ◽

10.1109/powercon.2018.8601682 ◽

2018 ◽

Author(s):

Dajun Wei ◽

Yan Cheng ◽

Shumin Sun ◽

Jianjun Su ◽

Yuejiao Wang

Keyword(s):

Optimal Design ◽

Power System ◽

Multi Objective ◽

Combined Cooling

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Performance comparison of multi-objective evolutionary algorithms for exergetic and exergoenvironomic optimization of a benchmark combined heat and power system

Energy ◽

10.1016/j.energy.2021.121135 ◽

2021 ◽

pp. 121135

Author(s):

J. Nondy ◽

T.K. Gogoi

Keyword(s):

Evolutionary Algorithms ◽

Power System ◽

Combined Heat And Power ◽

Performance Comparison ◽

Multi Objective

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Optimization of an HT-PEM fuel cell based residential micro combined heat and power system: A multi-objective approach

Journal of Cleaner Production ◽

10.1016/j.jclepro.2018.01.124 ◽

2018 ◽

Vol 180 ◽

pp. 126-138 ◽

Author(s):

Alireza Haghighat Mamaghani ◽

Behzad Najafi ◽

Andrea Casalegno ◽

Fabio Rinaldi

Keyword(s):

Fuel Cell ◽

Power System ◽

Pem Fuel Cell ◽

Combined Heat And Power ◽

Multi Objective ◽

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Optimal design parameters and performance optimization of thermodynamically balanced dish/Stirling concentrated solar power system using multi-objective particle swarm optimization

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2020.115539 ◽

2020 ◽

Vol 178 ◽

pp. 115539 ◽

Author(s):

Mohamed E. Zayed ◽

Jun Zhao ◽

Ammar H. Elsheikh ◽

Wenjia Li ◽

Mohamed Abd Elaziz

Keyword(s):

Particle Swarm Optimization ◽

Optimal Design ◽

Power System ◽

Performance Optimization ◽

Solar Power ◽

Design Parameters ◽

Concentrated Solar Power ◽

Swarm Optimization ◽

Multi Objective ◽

And Performance

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Multi-objective optimization analysis of a combined heat and power system based on useful work of different qualities of heat energy utilization (iSPEC 2020)

2020 IEEE Sustainable Power and Energy Conference (iSPEC) ◽

10.1109/ispec50848.2020.9351167 ◽

2020 ◽

Author(s):

Juewei Wu ◽

Jie Yu ◽

Li Tianran ◽

Xinsen Zhang ◽

Mengyue Li ◽

...

Keyword(s):

Power System ◽

Combined Heat And Power ◽

Heat Energy ◽

Energy Utilization ◽

Multi Objective Optimization ◽

Optimization Analysis ◽

Multi Objective

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Optimal design and operating strategies for a biomass-fueled combined heat and power system with energy storage

Energy ◽

10.1016/j.energy.2018.05.036 ◽

2018 ◽

Vol 155 ◽

pp. 620-629 ◽

Author(s):

Yingying Zheng ◽

Bryan M. Jenkins ◽

Kurt Kornbluth ◽

Alissa Kendall ◽

Chresten Træholt

Keyword(s):

Energy Storage ◽

Optimal Design ◽

Power System ◽

Combined Heat And Power ◽

Operating Strategies

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A model for the multi-objective optimisation of a polymer electrolyte fuel cell micro-combined heat and power system

Computer Aided Chemical Engineering - 20th European Symposium on Computer Aided Process Engineering ◽

10.1016/s1570-7946(10)28159-2 ◽

2010 ◽

pp. 949-954 ◽

Author(s):

Sheila Mae C. Ang ◽

Daniel J.L. Brett ◽

Eric S Fraga

Keyword(s):

Fuel Cell ◽

Power System ◽

Polymer Electrolyte ◽

Combined Heat And Power ◽

Polymer Electrolyte Fuel Cell ◽

Multi Objective

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Multi-objective sizing optimisation of a solar-thermal system integrated with a solar-hydrogen combined heat and power system, using genetic algorithm

Energy Conversion and Management ◽

10.1016/j.enconman.2018.03.026 ◽

2018 ◽

Vol 164 ◽

pp. 518-532 ◽

Author(s):

Jihane Assaf ◽

Bahman Shabani

Keyword(s):

Genetic Algorithm ◽

Power System ◽

Combined Heat And Power ◽

Solar Thermal ◽

Thermal System ◽

Solar Hydrogen ◽

Multi Objective ◽

Solar Thermal System

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Optimal Design of Combined Heat and Power System Using R-Curve Concept

Volume 6: Energy, Parts A and B ◽

10.1115/imece2012-88887 ◽

2012 ◽

Author(s):

Mohammad Hasan Khoshgoftar Manesh ◽

Pooya Navid ◽

Majid Amidpour ◽

Ana Maria Blanco Marigorta

Keyword(s):

Optimal Design ◽

Power System ◽

Environmental Impacts ◽

Computer Code ◽

Combined Heat And Power ◽

Process Industries ◽

Heat Demand ◽

Utility System ◽

Exergoeconomic Analysis

In this paper, a new procedure has been introduced for optimal design of utility system in process industries. This method is based on the development of the R-curve concept by using estimation of costs, environmental impacts and exergoeconomic analysis. This new method can be applied for synthesis of site utility system in grassroot problems. In addition, the powerful and accurate cogeneration targeting method has been used. Also, the new graphical representations have been proposed. These curves are easy to be constructed simple to be understood. In this paper, optimal design of site utility has been carried out in the case study, in which the usefulness of this method is clearly demonstrated. The computer code has been provided based on new procedure to optimal design of site utility at fixed heat demand.

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