An illustration of the optimization of combined cooling heating and power systems using genetic algorithm

The performances of combined cooling, heating and power (CCHP) system are greatly dependent on its design, operation strategy and thermal and electric demands. This paper illustrates how the use of a genetic algorithm can provide speedy optimization, by applying it to two styles of buildings operated in different operation strategies. The primary energy consumptions of CCHP system following electric demand management (EDM) and thermal demand management (TDM) are firstly analyzed respectively. Then, sixteen hypothetical buildings are constructed to represent various energy demands. Primary energy saving (PES), annual total cost saving (ATCS), and CO2 emission reduction (CO2ER), are weighted to evaluate the integrated performances of CCHP system in comparison to separation production system. Finally, the optimized CCHP system for sixteen scenarios using GA are compared. Practical application: This paper provides an optimization design method for CCHP system. The performance analysis of CCHP systems running different operation modes for different buildings is believed by the authors to contribute to a significant guide for the fundamental design of CCHP systems. Although sensitivity to a number of other important design considerations such equipment performance, possible future changes in operating conditions, changes to the price or carbon intensity of grid-supplied energy etc are not addressed, the conclusions present a simple and effective direction and the proposed optimization algorithm and the evaluation method for CCHP system can be extended to other buildings.

[1]  Ruzhu Wang,et al.  Energy efficiency and economic feasibility of CCHP driven by stirling engine , 2004 .

[2]  Alberto Coronas,et al.  Integration of absorption cooling systems into micro gas turbine trigeneration systems using biogas: Case study of a sewage treatment plant , 2009 .

[3]  Antonio Piacentino,et al.  EABOT – Energetic analysis as a basis for robust optimization of trigeneration systems by linear programming , 2008 .

[4]  Pierluigi Mancarella,et al.  Distributed multi-generation: A comprehensive view , 2009 .

[5]  Lin Gao,et al.  System study of combined cooling, heating and power system for eco‐industrial parks , 2008 .

[6]  Nelson Fumo,et al.  Performance analysis of CCHP and CHP systems operating following the thermal and electric load , 2009 .

[7]  Jiangjiang Wang,et al.  A fuzzy multi-criteria decision-making model for trigeneration system , 2008 .

[8]  Nelson Fumo,et al.  Analysis of cooling, heating, and power systems based on site energy consumption , 2009 .

[9]  R. Tozer,et al.  Absorption chillers applied to CHP systems , 1995 .

[10]  Antonio Piacentino,et al.  Optimal design of CHCP plants in the civil sector by thermoeconomics , 2007 .

[11]  Pedro J. Mago,et al.  Thermoeconomic modeling of micro‐CHP (micro‐cooling, heating, and power) for small commercial applications , 2008 .

[12]  Robert H. Williams,et al.  Trigeneration in a northern Chinese village using crop residues , 2000 .

[13]  Nelson Fumo,et al.  Cooling, heating, and power energy performance for system feasibility , 2008 .

[14]  R. Tozer,et al.  Thermoeconomics applied to an air conditioning system with cogeneration , 1996 .

[15]  Ian Paul Knight,et al.  Combined heat and power: Sizing plant for new hospitals , 1996 .

[16]  J Hernandez Santoyo,et al.  TRIGENERATION: AN ALTERNATIVE FOR ENERGY SAVINGS , 2003 .

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

[18]  Jinyue Yan,et al.  Case study of energy systems with gas turbine cogeneration technology for an eco‐industrial park , 2008 .

[19]  Pierluigi Mancarella,et al.  Assessment of the greenhouse gas emissions from cogeneration and trigeneration systems. Part I: Models and indicators , 2008 .

[20]  Andrea Costa,et al.  Economics of trigeneration in a kraft pulp mill for enhanced energy efficiency and reduced GHG emissions , 2007 .

[21]  Stig-Inge Gustafsson,et al.  Multi-Criteria Evaluation of Residential Energy Supply Systems , 2007 .

[22]  Pierluigi Mancarella,et al.  Matrix modelling of small-scale trigeneration systems and application to operational optimization , 2009 .

[23]  Y. M. Shi,et al.  Sensitivity analysis of energy demands on performance of CCHP system , 2008 .

[24]  Maziar Ghazinejad,et al.  Optimal design of gas turbine CHP plant with preheater and HRSG , 2009 .

[25]  Yi Jiang,et al.  Energy utilization evaluation of CCHP systems , 2006 .

[26]  Holger R. Maier,et al.  Minimum Number of Generations Required for Convergence of Genetic Algorithms , 2006, 2006 IEEE International Conference on Evolutionary Computation.

[27]  Antonio Piacentino,et al.  A methodology for sizing a trigeneration plant in mediterranean areas , 2003 .

[28]  J. Y. Wu,et al.  Theoretical research of a silica gel–water adsorption chiller in a micro combined cooling, heating and power (CCHP) system , 2009 .

[29]  Ruzhu Wang,et al.  Optimal operation of a micro-combined cooling, heating and power system driven by a gas engine , 2009 .

[30]  Gaetano Florio,et al.  A mixed integer programming model for optimal design of trigeneration in a hospital complex , 2007 .

[31]  Sheng Li,et al.  Exergy cost analysis of a micro-trigeneration system based on the structural theory of thermoeconomics , 2008 .

[32]  Antonio Piacentino,et al.  A new approach to exergoeconomic analysis and design of variable demand energy systems , 2006 .

[33]  Marc Medrano,et al.  Integration of distributed generation systems into generic types of commercial buildings in California , 2008 .

[34]  Ilias P. Tatsiopoulos,et al.  Comparative techno-economic analysis of ORC and gasification for bioenergy applications , 2009 .

[35]  K A B McCrorie,et al.  Small-scale combined heat and power simulations: Development of a dynamic spark-ignition engine model , 1996 .

[36]  Jiangjiang Wang,et al.  Integrated evaluation of distributed triple-generation systems using improved grey incidence approach , 2008 .

[37]  Antonio Piacentino,et al.  Matching economical, energetic and environmental benefits: An analysis for hybrid CHCP-heat pump systems , 2006 .

[38]  Ruzhu Wang,et al.  COMBINED COOLING, HEATING AND POWER: A REVIEW , 2006 .

[39]  Antonio Piacentino,et al.  On thermoeconomics of energy systems at variable load conditions: Integrated optimization of plant design and operation , 2007 .

[40]  E. Teopa Calva,et al.  Thermal integration of trigeneration systems , 2005 .

[41]  Hongbo Ren,et al.  Optimal sizing for residential CHP system , 2008 .

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

[43]  Jiangjiang Wang,et al.  Distributed Combined Cooling Heating and Power System and Its Development Situation in China , 2008 .

[44]  Huang Xing-hua,et al.  Influence of energy demands ratio on the optimal facility scheme and feasibility of BCHP system , 2008 .