Grey relational analysis of an integrated cascade utilization system of geothermal water

ABSTRACT With the drastic decrease in fossil resources and rapid deterioration of the global environment, the utilization of geothermal resources has been strongly advocated. The combination of heat, power, and cold utility generation is commonly used to increase the utilization efficiency of geothermal resources. In this study, an integrated cascade utilization system of waste geothermal water (ICUWGW) from a flash geothermal power plant in China is established to increase the utilization efficiency of geothermal water. The waste geothermal water leaving the power plant is proposed for further use in cascade for two-stage LiBr/H2O absorption cooling, agricultural product drying, and residential bathing. Twelve candidate temperature schemes showing different inlet and outlet temperatures of every subsystem are proposed for the ICUWGW. Several criteria are selected for the evaluation and screening of the candidate schemes. Grey relational analysis incorporating analytic hierarchy process is conducted to screen the optimal temperature scheme for the ICUWGW to meet the comprehensive criteria of thermodynamics and economics. Results show that the optimal scheme features significant improvement in energy efficiency, exergy efficiency, and equivalent electricity generation efficiency compared with those of the current geothermal power plant. The investment payback time of the additional subsystems for cooling, drying, and bathing is 1.85 years. Exergy analysis is also conducted to determine the further optimization potential of the optimal ICUWGW. Sensitivity analysis of electricity price on the performance of the optimal ICUWGW is also performed.

[1]  Ennio Macchi,et al.  Technical and economical analysis of a solar–geothermal hybrid plant based on an Organic Rankine Cycle , 2011 .

[2]  Deng Ju-Long,et al.  Control problems of grey systems , 1982 .

[3]  D. Brüggemann,et al.  Exergy based fluid selection for a geothermal Organic Rankine Cycle for combined heat and power generation , 2010 .

[4]  Feng Xiao-ping,et al.  An Analysis of the Ash Correlation of Various Factors Influencing the Cost-effectiveness of a Combined Refrigeration,Heat and Power Trigeneration System , 2006 .

[5]  Poul Alberg Østergaard,et al.  Comparing electricity, heat and biogas storages’ impacts on renewable energy integration , 2012 .

[6]  M. Bohanec,et al.  The Analytic Hierarchy Process , 2004 .

[7]  Pablo Aragonés-Beltrán,et al.  An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects , 2014 .

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

[9]  N Tosun,et al.  Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis , 2006 .

[10]  Ibrahim Dincer,et al.  Performance analysis of a novel integrated geothermal-based system for multi-generation applications , 2012 .

[11]  Hoseyn Sayyaadi,et al.  Multi-objective optimization of a cooling tower assisted vapor compression refrigeration system , 2011 .

[12]  Mehmet Kanoglu,et al.  Economic evaluation of geothermal power generation, heating, and cooling , 1999 .

[13]  Tao Guo,et al.  Fluids and parameters optimization for a novel cogeneration system driven by low-temperature geother , 2011 .

[14]  John W. Lund,et al.  Direct utilization of geothermal energy 2010 worldwide review , 2011 .

[15]  Songling Wang,et al.  Fuzzy comprehensive evaluation of district heating systems , 2010 .

[16]  Ruggero Bertani,et al.  Geothermal power generation in the world 2005–2010 update report , 2012 .

[17]  Yiping Fang,et al.  Balancing energy and environment: The effect and perspective of management instruments in China , 2007 .

[18]  Majid Amidpour,et al.  Multi-objective optimization of a vertical ground source heat pump using evolutionary algorithm , 2009 .

[19]  Ramazan Köse,et al.  Exergoeconomic optimization of integrated geothermal system in Simav, Kutahya , 2010 .

[20]  Jiangjiang Wang,et al.  Using the fuzzy multi-criteria model to select the optimal cool storage system for air conditioning , 2008 .

[21]  Majid Amidpour,et al.  Exergoeconomic analysis of double effect absorption refrigeration systems , 2013 .

[22]  Thomas L. Saaty,et al.  Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation , 1990 .

[23]  Lazaros G. Papageorgiou,et al.  A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level , 2012 .

[24]  Shiming Deng,et al.  Theoretical analysis of low-temperature hot source driven two-stage LiBr/H2O absorption refrigeration system , 1996 .

[25]  Naim Afgan,et al.  Multi-criteria evaluation for CHP system options , 2006 .

[26]  Einar Tjörvi Elíasson,et al.  Multiple integrated applications for low-to medium-temperature geothermal resources in Iceland , 2003 .

[27]  Zhang Shu-jun Improved AHP Method for Optimal Selection of the Air-conditioning Cooling and Heating Source , 2005 .

[28]  Ronald DiPippo,et al.  Second Law assessment of binary plants generating power from low-temperature geothermal fluids , 2004 .

[29]  M. Caswell Balancing Energy and the Environment , 1993 .

[30]  San-yang Liu,et al.  An extended GRA method for MCDM with interval-valued triangular fuzzy assessments and unknown weights , 2011, Comput. Ind. Eng..