Xergy analysis and multiobjective optimization of a biomass gasification-based multigeneration system

Rashidi, Halimeh; Khorshidi, Jamshid

doi:10.22059/ees.2018.30614

Xergy analysis and multiobjective optimization of a biomass gasification-based multigeneration system

Document Type : Research Paper

Authors

Faculty of Engineering, University of Hormozgan, Bandar Abbas, Iran

10.22059/ees.2018.30614

Abstract

Biomass gasification is the process of converting biomass into a combustible gas suitable for use in boilers, engines, and turbines to produce combined cooling, heat, and power. This paper presents a detailed model of a biomass gasification system and designs a multigeneration energy system that uses the biomass gasification process for generating combined cooling, heat, and electricity. Energy and exergy analyses are first applied to evaluate the performance of the designed system. Next, the minimizing total cost rate and the maximizing exergy efficiency of the system are considered as two objective functions and a multiobjective optimization approach based on the differential evolution algorithm and the local unimodal sampling technique is developed to calculate the optimal values of the multigeneration system parameters. A parametric study is then carried out and the Pareto front curve is used to determine the trend of objective functions and assess the performance of the system. Furthermore, sensitivity analysis is employed to evaluate the effects of the design parameters on the objective functions. Simulation results are compared with two other multiobjective optimization algorithms and the effectiveness of the proposed method is verified by using various key performance indicators.

Keywords

References

[1] Zhang L., Xu C.C., Champagne P., Overview of Recent Advances in Thermo-chemical Conversion of Biomass, Energy Conversion and Management. (2010)51(5):969-82.

[2] Dong Y., Steinberg M., Hynol an Aconomical Process for Methanol Production from Biomass and Natural Gas with Reduced CO2 Emission, International Journal of Hydrogen Energy (1997) 22(10-11):971-7.

[3] Ahmadi P., Dincer I., Rosen M.A., Thermoeconomic Multi-Objective Optimization of a Novel Biomass-Based Integrated Energy System, Energy (2014) 68:958-70.

[4] Ahmadi P., Dincer I., Rosen M.A., Development and Assessment of an Integrated Biomass-Based Multigeneration Energy System, Energy (2013)56:155-66.

[5] Wang J., Yang Y., Energy, Exergy and Environmental Analysis of a Hybrid Combined Cooling Heating and Power System Utilizing Biomass and Solar Energy, Energy Conversion and Management (2016)124:566-77.

[6] Salemme L., Simeone M., Chirone R., Salatino P., Analysis of the Energy Efficiency of Solar Aided Biomass Gasification for Pure Hydrogen Production, International Journal of Hydrogen energy (2014) 39(27):14622-32.

[7] Nakyai T., Authayanun S., Patcharavorachot Y., Arpornwichanop A., Assabumrungrat S., Saebea D., Exergoeconomics of Hydrogen Production from Biomass Air-Steam Gasification with Methane co-Feeding, Energy Conversion and Management. (2017)140:228-39.

[8] Wang J.J., Xu Z.L., Jin H.G., Shi G.H., Fu C., Yang K., Design Optimization and Analysis of a Biomass Gasification Based BCHP System: A case Study in Harbin, China, Renewable Energy (2014)71:572-83.

[1] Maraver D., Sin A., Royo J., Sebastián F., Assessment of CCHP Systems Based on Biomass Combustion for Small-Scale Applications Through a Review of the Technology and Analysis of Energy Efficiency Parameters, Applied Energy (2013)102:1303-13.

[2] Gholamian E., Zare V., Mousavi S.M., Integration of Biomass Gasification with a Solid Oxide Fuel Cell in a Combined Cooling, Heating and Power System: A Thermodynamic and Environmental Analysis, International Journal of Hydrogen Energy (2016)41(44):20396-406.

[3] Fernandes A., Woudstra T., Aravind P.V., System Simulation and Exergy Analysis on the Use of Biomass-Derived Liquid-Hydrogen for SOFC/GT Powered Aircraft, International Journal of Hydrogen Energy (2015) 40(13):4683-97.

[4] Seyitoglu S.S., Dincer I., Kilicarslan A., Energy and Exergy Analyses of Hydrogen Production by Coal Gasification, International Journal of Hydrogen Energy (2017)42(4):2592-600.

[5] Kalinci Y., Dincer I., Hepbasli A., Energy and Exergy Analyses of a Hybrid Hydrogen Energy System: A Case Study for Bozcaada, International Journal of Hydrogen Energy (2017)42(4):2492-503.

[6] Borji M., Atashkari K., Ghorbani S., Nariman-Zadeh N., Parametric Analysis and Pareto Optimization of an Integrated Autothermal Biomass Gasification, Solid Oxide Fuel Cell and Micro Gas Turbine CHP System, International Journal of Hydrogen Energy (2015)40(41):14202-23.

[7] Kalinci Y., Hepbasli A., Dincer I., Exergoeconomic Analysis of Hydrogen Production from Biomass Gasification, International Journal of Hydrogen Energy (2012)37(21):16402-11.

[8] El-Emam R.S., Dincer I., Thermal Modeling and Efficiency Assessment of an Integrated Biomass Gasification and Solid Oxide Fuel Cell System, International Journal of Hydrogen Energy (2015)40(24):7694-706.

[9] Ramadan M., Khaled M., Ramadan H.S., Becherif M., Modeling and Sizing of Combined Fuel Cell-Thermal Solar System for Energy Generation, International Journal of Hydrogen Energy (2016) 41(44):19929-35.

[10] Khalid F., Dincer I., Rosen M.A., Techno-Economic Assessment of a Solar-Geothermal Multigeneration System for Buildings, International Journal of Hydrogen Energy (2017) 42(33): 21454-21462.

[11] Yuksel Y.E., Ozturk M., Thermodynamic and Thermoeconomic Analyses of a Geothermal Energy Based Integrated System for Hydrogen Production, International Journal of Hydrogen Energy (2017)42(4):2530-46.

[12] Eveloy V., Karunkeyoon W., Rodgers P., Al Alili A., Energy, Exergy and Economic Analysis of an Integrated Solid Oxide Fuel Cell–Gas Turbine–Organic Rankine Power Generation System, International Journal of Hydrogen Energy (2016)41(31):13843-58.

[13] Alhayek B, Agelin‐Chaab M, Reddy B., Analysis of an Innovative Direct Steam Generation‐Based Parabolic Trough Collector Plant Hybridized with a Biomass Boiler, International Journal of Energy Research (2017) DOI: 10.1002/er.3785.

[14] Ozcan H., Dincer I., Performance Evaluation of an SOFC Based Trigeneration System Using Various Gaseous Fuels from Biomass Gasification, International Journal of Hydrogen Energy (2015) 40(24):7798-807.

[15] Hosseinpour S., Aghbashlo M., Tabatabaei M., Younesi H., Mehrpooya M., Ramakrishna S., Multi-Objective Exergy-Based Optimization of a Continuous Photobioreactor Applied to Produce Hydrogen Using a Novel Combination of Soft Computing Techniques, International Journal of Hydrogen Energy (2017)42(12):8518-29.

[16] Khanmohammadi S., Heidarnejad P., Javani N., Ganjehsarabi H., Exergoeconomic Analysis and Multi Objective Optimization of a Solar Based Integrated Energy System for Hydrogen Production, International Journal of Hydrogen Energy (2017)42(33): 21443-21453.

[17] Ziapour B.M., Hashtroudi A., Performance Study of an Enhanced Solar Greenhouse Combined with the Phase Change Material Using Genetic Algorithm Optimization Method, Applied Thermal Engineering (2017)110:253-64.

[18] Rabbani M., Mohammadi S., Mobini M., Optimum Design of a CCHP System Based on Economical, Energy and Environmental Considerations Using GA and PSO, International Journal of Industrial Engineering Computations (2018) 9(1):99-122.

[19] Ahmadi P., Dincer I., Rosen M.A., Multi-Objective Optimization of an Ocean Thermal Energy Conversion System for Hydrogen Production, International Journal of Hydrogen Energy (2015)40(24):7601-8.

[20] Shamoushaki M., Ghanatir F., Ehyaei M.A., Ahmadi A., Exergy and Exergoeconomic Analysis and Multi-Objective Optimisation of Gas Turbine Power Plant by Evolutionary Algorithms, Case study, Aliabad Katoul Power Plant, International Journal of Exergy (2017)22(3):279-307.

[21] Rahdar M.H., Heidari M., Ataei A., Choi J.K., Modeling and Optimization of R-717 and R-134a Ice Thermal Energy Storage Air Conditioning Systems Using NSGA-II and MOPSO Algorithms, Applied Thermal Engineering (2016) 96:217-27.

[22] Soheyli S., Mayam M.H., Mehrjoo M., Modeling a Novel CCHP System Including Solar and Wind Renewable Energy Resources and Sizing by a CC-MOPSO Algorithm, Applied Energy (2016)184:375-95.

[23] Karellas S., Braimakis K., Energy–Exergy Analysis and Economic Investigation of a Cogeneration and Trigeneration ORC–VCC Hybrid System Utilizing Biomass Fuel and Solar Power, Energy Conversion and Management (2016)107:103-13.

[24] Ahmadi P., Dincer I., Rosen M.A., Energy and Exergy Analyses of Hydrogen Production via Solar-Boosted Ocean Thermal Energy Conversion and PEM Electrolysis, International Journal of Hydrogen Energy (2013) 38(4):1795-805.

[25] Rashidi F., Optimal Allocation of Plug-in Electric Vehicle Capacity to Produce Active, Reactive and Distorted Powers Using Differential Evolution Based Artificial Bee Colony Algorithm. IET Science, Measurement & Technology (2017) DOI: 10.1049/iet-smt.2016.0444.

[26] Das S., Suganthan P.N., Differential Evolution: A Survey of the State-of-the-Art, IEEE Transactions on Evolutionary Computation (2011)15(1):4-31.

[27] Gonuguntla V., Mallipeddi R., Veluvolu K.C., Differential Evolution with Population and Strategy Parameter Adaptation, Mathematical Problems in Engineering (2015)10;2015.

[28] Neto J.X., Reynoso-Meza G., Ruppel T.H., Mariani V.C., dos Santos Coelho L., Solving non-Smooth Economic Dispatch by a New Combination of Continuous GRASP Algorithm and Differential Evolution, International Journal of Electrical Power & Energy Systems (2017) 84:13-24.

[29] ElQuliti S.A., Mohamed A.W., A Large-Scale Nonlinear Mixed-Binary Goal Programming Model to Assess Candidate Locations for Solar Energy Stations: An Improved Real-Binary Differential Evolution Algorithm with a Case Study. Journal of Computational and Theoretical Nanoscience (2016)13(11):7909-21.

[30] Rashidi F., Abiri E., Niknam T., Salehi M.R., On-line Parameter Identification of Power Plant Characteristics Based on Phasor Measurement unit Recorded Data Using Differential Evolution and bat Inspired Algorithm, IET Science, Measurement & Technology (2015)9(3):376-92.

[31] Noman N., Iba H., Differential Evolution for Economic Load Dispatch Problems, Electric Power Systems Research (2008)78(8):1322-31.

[32] Pedersen M.E., Chipperfield A.J., Simplifying Particle Swarm Optimization, Applied Soft Computing (2010)10(2):618-28.

[33] Sahu B.K., Pati T.K., Nayak J.R., Panda S., Kar S.K., A Novel Hybrid LUS–TLBO Optimized Fuzzy-PID Controller for Load Frequency Control of Multi-Source Power System, International Journal of Electrical Power & Energy Systems (2016)74:58-69.

[34] Mohanty P.K., Sahu B.K., Panda S., Tuning and Assessment of Proportional–Integral–Derivative Controller for an Automatic Voltage Regulator System Employing Local Unimodal Sampling Algorithm, Electric Power Components and Systems (2014) 42(9):959-69.

[35] Jung J., Song S., Hur K.B., Numerical Study on the Effects of Intake Valve Timing on Performance of a Natural Gas-Diesel Dual-Fuel Engine and Multi-Objective Pareto Optimization, Applied Thermal Engineering (2017)121:604-16.

[36] Raja B.D., Jhala R.L., Patel V., Many-Objective Optimization of Cross-Flow Plate-Fin Heat Exchanger, International Journal of Thermal Sciences (2017) 118:320-39.

[37] Gong W., Cai Z., An Improved Multiobjective Differential Evolution Based on Pareto-Adaptive ϵ-Dominance and Orthogonal Design, European Journal of Operational Research (2009)198(2):576-601.

[38] Deb K., Pratap A., Agarwal S., Meyarivan TA. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation (2002)6(2):182-97.

[39] Coello C.A., Pulido G.T., Lechuga M.S., Handling Multiple Objectives with Particle Swarm Optimization, IEEE Transactions on Evolutionary Computation (2004)8(3):256-79

[40] Jayah T.H., Aye L., Fuller R.J., Stewart D.F., Computer Simulation of a Downdraft Wood Gasifier for Tea Drying, Biomass and Bioenergy (2003)25(4):459-69.

[41] Jarungthammachote S., Dutta A., Thermodynamic Equilibrium Model and Second Law Analysis of a Downdraft Waste Gasifier, Energy (2007)32(9):1660-9.

[42] Shabanpour-Haghighi A., Seifi A.R., Niknam T., A Modified Teaching–Learning Based Optimization for Multi-Objective Optimal Power Flow Problem, Energy Conversion and Management (2014)77:597-607.

[43] Ahmadi P., Dincer I., Rosen M.A., Thermodynamic Modeling and Multi-Objective Evolutionary-Based Optimization of a New Multigeneration Energy System, Energy Conversion and Management (2013)76:282-300.