A probability constrained multi-objective optimization model for CCHP system operation decision support

Due to its capability to reduce carbon dioxide emission and to increase energy efficiency, the combined cooling, heating, and power (CCHP) system has attracted great attention during the last decade. A large number of deterministic and stochastic optimization models have been proposed to study the CCHP operation strategy. However, fewer studies have been conducted to optimize CCHP operation simultaneously with multiple objectives such as minimizing operational cost, primary energy consumption (PEC) and carbon dioxide emissions (CDE) considering the reliability of the CCHP operation strategy. In this research, we propose a stochastic multi-objective optimization model to optimize the CCHP operation strategy for different climate conditions based on operational cost, PEC and CDE. The probability constraints are added into the stochastic model to guarantee the optimized CCHP operation strategy is reliable to satisfy the stochastic energy demand. The study shows that a higher reliability level of the probability constraint will increase the operational cost, PEC and CDE. To assist the multi-objective decision analysis, we developed an incentive model for PEC and CDE reduction. The analysis results demonstrate how the incentive values for PEC and CDE reduction can be effectively determined using the proposed model for different climate locations.

[1]  M. Ramachandran,et al.  Application of multi-criteria decision making to sustainable energy planning--A review , 2004 .

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

[3]  Michael C. Georgiadis,et al.  A two-stage stochastic programming model for the optimal design of distributed energy systems , 2013 .

[4]  Pedro J. Mago,et al.  Analysis of a combined cooling, heating, and power system model under different operating strategies with input and model data uncertainty , 2010 .

[5]  Zacharias B. Maroulis,et al.  Multi-objective optimization of a trigeneration plant , 2010 .

[6]  Stefano Bracco,et al.  Economic and environmental optimization model for the design and the operation of a combined heat and power distributed generation system in an urban area , 2013 .

[7]  Peter Rodgers,et al.  Trigeneration scheme for energy efficiency enhancement in a natural gas processing plant through turbine exhaust gas waste heat utilization , 2012 .

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

[9]  Teresa Wu,et al.  A single-loop deterministic method for reliability-based design optimization , 2013 .

[10]  Eva Thorin,et al.  Long-term optimization of cogeneration systems in a competitive market environment , 2005 .

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

[12]  Zhang Chun-fa,et al.  Multi-criteria analysis of combined cooling, heating and power systems in different climate zones in China , 2010 .

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

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

[15]  Fernando Sebastián,et al.  Assessment of CCHP systems based on biomass combustion for small-scale applications through a review of the technology and analysis of energy efficiency parameters , 2013 .

[16]  Sheng Liu,et al.  Uncertain programming of building cooling heating and power (BCHP) system based on Monte-Carlo method , 2010 .

[17]  Hoseyn Sayyaadi,et al.  Application of the multi-objective optimization and risk analysis for the sizing of a residential small-scale CCHP system , 2013 .

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

[19]  Wei Wu,et al.  Multi-objective optimization for combined heat and power economic dispatch with power transmission loss and emission reduction , 2013 .

[20]  M. M. Ardehali,et al.  Examination of energy price policies in Iran for optimal configuration of CHP and CCHP systems based on particle swarm optimization algorithm , 2010 .

[21]  Ryohei Yokoyama,et al.  Optimal unit sizing of cogeneration systems in consideration of uncertain energy demands as continuous random variables , 2002 .

[22]  Lingfeng Wang,et al.  Stochastic combined heat and power dispatch based on multi-objective particle swarm optimization , 2006, 2006 IEEE Power Engineering Society General Meeting.

[23]  Hongguang Jin,et al.  Full chain energy performance for a combined cooling, heating and power system running with methanol and solar energy , 2013 .

[24]  Yiping Dai,et al.  Parametric analysis of a new combined cooling, heating and power system with transcritical CO2 driven by solar energy , 2012 .

[25]  W. Nordhaus.  A Question of Balance: Weighing the Options on Global Warming Policies , 2008 .

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

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

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

[29]  Jiangjiang Wang,et al.  A fuzzy multi-criteria decision-making model for CCHP systems driven by different energy sources. , 2012 .

[30]  Graham Ault,et al.  Multi-objective planning of distributed energy resources: A review of the state-of-the-art , 2010 .

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

[32]  Pedro J. Mago,et al.  Evaluation of CCHP systems performance based on operational cost, primary energy consumption, and carbon dioxide emission by utilizing an optimal operation scheme , 2009 .