Development of an optimization based design framework for microgrid energy systems

A comprehensive optimization study considering both system configurations and operation signals is needed for microgrid energy systems. For this, this study provides an advanced optimization based design framework that extends existing energy system optimization studies in following four aspects: complete system optimization from the beginning, comprehensive energy conversion equipment modeling, modeling of cascaded configurations, and consideration of transient loads and weather profiles. This framework aims to find optimum system configurations and operation signals for any given equipment options, and load- and weather-profiles. The framework is presented through a case study on an oceanic container transportation application. Optimized system configurations and operation signals are found under three different scenarios: minimizing life cycle cost as single objective, minimizing capital cost and annual fuel energy consumption as bi-objective, and minimizing life cycle cost considering uncertainties in load profiles. The optimized system could reduce system life cycle cost by 40% in single objective scenario and 45–52% at different levels of robustness. Exploring waste heat from the main ship propulsion engine is the key to reduce life cycle cost. The framework can be applied for a wide range of applications as an efficient tool to search for novel system designs and their evaluations.

[1]  Risto Lahdelma,et al.  An efficient linear programming model and optimization algorithm for trigeneration , 2005 .

[2]  Pedro J. Mago,et al.  Analysis and optimization of CCHP systems based on energy, economical, and environmental considerations , 2009 .

[3]  Sheng Li,et al.  Multi-objective optimal operation strategy study of micro-CCHP system , 2012, Energy.

[4]  Reinhard Radermacher,et al.  Performance investigation of engine waste heat powered absorption cycle cooling system for shipboard applications , 2015 .

[5]  Reinhard Radermacher,et al.  Modeling of waste heat powered energy system for container ships , 2016 .

[6]  Christos A. Frangopoulos,et al.  Operation optimization of an industrial cogeneration system by a genetic algorithm , 1997 .

[7]  Yang Shi,et al.  Optimal power flow and PGU capacity of CCHP systems using a matrix modeling approach , 2013 .

[8]  J. C. Bruno,et al.  Selection of typical days for the characterisation of energy demand in cogeneration and trigeneration optimisation models for buildings , 2011 .

[9]  Ilhan Ozturk,et al.  Thermoeconomic optimization of gas turbine cogeneration plants , 2015 .

[10]  Ryohei Yokoyama,et al.  A mixed-integer linear programming approach for cogeneration-based residential energy supply networks with power and heat interchanges , 2014 .

[11]  Zhiqiang Zhai,et al.  Particle swarm optimization for redundant building cooling heating and power system , 2010 .

[12]  Mauro Reini,et al.  Optimization of a Distributed Cogeneration System with solar district heating , 2014 .

[13]  Johan Löfberg,et al.  Automatic robust convex programming , 2012, Optim. Methods Softw..

[14]  Robert Ridgley Slaymaker.  Mechanical Design and Analysis , 1959 .

[15]  W. Morton,et al.  Using new packages for modelling, equation oriented simulation and optimization of a cogeneration plant , 2000 .

[16]  Zhiqiang Zhai,et al.  Sensitivity analysis of optimal model on building cooling heating and power system , 2011 .

[17]  Hans-Martin Henning,et al.  Solar assisted air conditioning of buildings – an overview , 2004 .

[18]  Nelson Fumo,et al.  Emission operational strategy for combined cooling, heating, and power systems , 2009 .

[19]  You-Yin Jing,et al.  Optimization of capacity and operation for CCHP system by genetic algorithm , 2010 .

[20]  Majid Amidpour,et al.  Thermoeconomic analysis and optimization of an ammonia–water power/cooling cogeneration cycle , 2012 .

[21]  Alexander Mitsos,et al.  Optimal time-invariant operation of a power and water cogeneration solar-thermal plant , 2011 .

[22]  Fang Fang,et al.  A new operation strategy for CCHP systems with hybrid chillers , 2012 .

[23]  ChangKyoo Yoo,et al.  Exergy analysis and parametric optimization of three power and fresh water cogeneration systems using refrigeration chillers , 2013 .

[24]  Reinhard Radermacher,et al.  Absorption Chillers and Heat Pumps , 1996 .

[25]  Congjie Gao,et al.  Optimum design of cogeneration for power and desalination to satisfy the demand of water and power , 2013 .

[26]  David Infield,et al.  Part-load characteristics of Organic-Rankine-Cycles , 2011 .

[27]  Hoseyn Sayyaadi,et al.  Implementing of the multi-objective particle swarm optimizer and fuzzy decision-maker in exergetic, , 2011 .

[28]  Christof Wittwer,et al.  Decentralised optimisation of cogeneration in virtual power plants , 2010 .

[29]  Ryohei Yokoyama,et al.  Optimal structural design of residential cogeneration systems in consideration of their operating restrictions , 2014 .

[30]  Majid Amidpour,et al.  Multi-objective optimization of a solar-hybrid cogeneration cycle: Application to CGAM problem , 2014 .

[31]  Hoseyn Sayyaadi,et al.  Multi-objective approach in thermoenvironomic optimization of a benchmark cogeneration system , 2009 .