Design of a solar dish Stirling cogeneration system: Application of a multi-objective optimization approach

Abstract Energy market consumption is expected to increase by 44% from 2006 to 2030, mostly because of the lifestyle standards evolution, and development of industries and economics. In addition, the variations of the fossil fuel prices and the increase in pollutant gas emissions have instigated the research on other types of power generation systems. From the available technologies, Stirling systems have demonstrated simplicity and reliability, which are the key parameters to develop a cost-effective energy system. The study aims the development of a methodology for the thermal-economic optimization, at the design stage, of micro-CHP systems based on Stirling engine technology, and combined with a renewable energy source, the solar energy. To properly size the system, a methodology is proposed to define the total annual thermal power duration curve of a reference residential building in the North of Portugal. The methodology accounts for both heating and the domestic hot water needs. The thermal-economic model was formulated as an non-linear optimization problem with non-linear constrains. Each component of the cycle is modelled using the energy balances of the first law of thermodynamics. It is also proposed an economic model that defines the purchase cost of each system component. The cost equations include thermodynamic variables that directly affect the component cost and performance. The model yields two non-linear objective functions: the minimization of the total investment cost and the maximization of the efficiency of the system. Numerical simulations were developed in MatLab® programming language using evolutionary algorithms. The multi-objective optimization results were expressed by Pareto curves. The obtained curve disclosed several design possibilities for which the thermal efficiencies vary between 66.3% and 76.1% for an annualized investment costs fluctuating between 1250 €/year and 2675 €/year.

[1]  Tie Li,et al.  Development and test of a Stirling engine driven by waste gases for the micro-CHP system , 2012 .

[2]  Iskander Tlili,et al.  Analysis and design consideration of mean temperature differential Stirling engine for solar application , 2008 .

[3]  Tarik Kousksou,et al.  Energy consumption and efficiency in buildings: current status and future trends , 2015 .

[4]  Andrea De Pascale,et al.  Guidelines for residential micro-CHP systems design , 2012 .

[5]  Ana C. M. Ferreira Numerical optimization and economic analysis in the design of a micro-CHP systemwith a Stirling engine and a solar collector , 2014 .

[6]  V. Ismet Ugursal,et al.  Modeling of internal combustion engine based cogeneration systems for residential applications , 2007 .

[7]  Amir H. Mohammadi,et al.  Thermo-economic multi-objective optimization of solar dish-Stirling engine by implementing evolutionary algorithm , 2013 .

[8]  Gholamhassan Najafi,et al.  Micro combined heat and power (MCHP) technologies and applications , 2013 .

[9]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[10]  Consolación Gil,et al.  Optimization methods applied to renewable and sustainable energy: A review , 2011 .

[11]  C. Cleveland,et al.  Energy and Sustainable Development at Global Environmental Summits: An Evolving Agenda , 2003 .

[12]  Ana C. M. Ferreira,et al.  Thermodynamic and economic optimization of a solar-powered Stirling engine for micro-cogeneration purposes , 2016 .

[13]  Ana C. M. Ferreira,et al.  An economic perspective on the optimisation of a small-scale cogeneration system for the Portuguese scenario , 2012 .

[14]  A. Asnaghi,et al.  Thermodynamics Performance Analysis of Solar Stirling Engines , 2012 .

[15]  Iskander Tlili,et al.  PERFORMANCE OPTIMIZATION OF STIRLING ENGINES , 2008 .

[16]  Pascal Puech,et al.  Thermodynamic analysis of a Stirling engine including regenerator dead volume , 2011 .

[17]  Amir H. Mohammadi,et al.  Optimisation of the thermodynamic performance of the Stirling engine , 2016 .

[18]  Hoseyn Sayyaadi,et al.  Application of the multi-objective optimization method for designing a powered Stirling heat engine: Design with maximized power, thermal efficiency and minimized pressure loss , 2013 .

[19]  Sendhil Kumar Natarajan,et al.  Numerical investigation of natural convection heat loss in modified cavity receiver for fuzzy focal solar dish concentrator , 2007 .

[20]  V. I. Ugursal,et al.  Residential cogeneration systems: Review of the current technology , 2006 .

[21]  Irene P. Koronaki,et al.  Thermodynamic analysis and experimental investigation of a Solo V161 Stirling cogeneration unit , 2012 .

[22]  Marco Badami,et al.  Energetic and economic assessment of cogeneration plants: A comparative design and experimental condition study , 2014 .

[23]  S. Iniyan,et al.  A review of renewable energy based cogeneration technologies , 2011 .

[24]  Pasquale Salza,et al.  RETRACTED ARTICLE: Perspectives for the long-term penetration of new renewables in complex energy systems: the Italian scenario , 2011 .

[25]  P. R. Spina,et al.  Analysis of innovative micro-CHP systems to meet household energy demands , 2012 .

[26]  Chin-Hsiang Cheng,et al.  Optimization of geometrical parameters for Stirling engines based on theoretical analysis , 2012 .

[27]  Graham Coates,et al.  Sizing of residential CHP systems , 2011 .

[28]  Ana C. M. Ferreira,et al.  Modeling a Stirling Engine for Cogeneration Applications , 2012 .

[29]  V. Dovi',et al.  Cleaner energy for sustainable future , 2009 .

[30]  Hoseyn Sayyaadi,et al.  Designing a solar powered Stirling heat engine based on multiple criteria: Maximized thermal efficiency and power , 2013 .

[31]  Ana C. M. Ferreira,et al.  Design Optimization of a Solar Dish Collector for Its Application With Stirling Engines , 2015 .

[32]  Alibakhsh Kasaeian,et al.  Multi-objective optimization of Stirling engine using non-ideal adiabatic method , 2014 .

[33]  Amir H. Mohammadi,et al.  Multi-objective thermodynamic-based optimization of output power of Solar Dish-Stirling engine by implementing an evolutionary algorithm , 2013 .

[34]  Xinggang Wang,et al.  Thermodynamic design of Stirling engine using multi-objective particle swarm optimization algorithm , 2014 .

[35]  D. P. Papadopoulos,et al.  A general technoeconomic and environmental procedure for assessment of small-scale cogeneration scheme installations: Application to a local industry operating in Thrace, Greece, using microturbines , 2005 .