The development and assessment of solar-driven Tri-generation system energy and optimization of criteria comparison

Authors

Department of Mechanical Engineering, Faculty of Engineering, University of Sistan and Bluchestan, Zahedan, Iran

Abstract

In this research, the thermodynamic investigation of the tri-generation system is performed by the first and second law of Thermodynamics. The trigeneration system under study consists of three subsystems including the solar subsystem, Kalina subsystem and lithium bromide-water absorption chiller subsystem. The proposed system generates power, cooling and hot water using solar energy. The system considered is designed and evaluated based on the climate condition in Zahedan, Iran. The calculation results show that the most exergy destruction rate takes place in the solar cycle. The assessment of system is used dynamic and static forms. In dynamic form, that maximum total cost rate, energy and exergy efficiency are equal to 15.1 dollars per hour,by 33% and 36.47%, respectively. The results base-case demonstrate that energy and exergy efficiencies and total cost rates are equal to 9.63 dollars per hour by 17.37% and 18.82% , respectively in static analysis. Furthermore, optimization criteria comparison such as energy efficiency, exergy efficiency and power are discussed in static form. The results of static evaluation revealed that the power is the best criteria for thermodynamics. Moreover, optimization results based on maximum power criterion show that produced power, energy efficiency, exergy efficiency and total cost rate increase by 28%, 12.32%, of 13.97% and 7.68%, respectively in comparison with the base case.

Keywords


[1] Dincer I.,  Renewable Energy and Sustainable Development, A Crucial Review, Renewable and Sustainable Energy Reviews (2000) 4:157-175.

[2] Teske S., Pregger T., Simon S., Naegler T., Graus W., Lins C.  Energy [R]Evolution 2010—A Sustainable World Energy Outlook, Energy Efficiency (2011) 4: 409-433.

[3] Goswami D. Y.  Alternative Energy in Agricultureed, None United States CRC Press Inc., 2000 Corporate Blvd. NW, Boca Raton, FL 33431. NOV English, CRC Press (1986): 36-57.

[4] Dincer I., Dost S., Li X.  Performance Analyses of Sensible Heat Storage Systems for Thermal Applications, International Journal of Energy Research, (1997) 21:1157-1171.

[5] Ahmadi P., Dincer I.  Exergoenvironmental Analysis and Optimization of a Cogeneration Plant System Using Multimodal Genetic Algorithm (MGA), Energy (2010) 35: 5161-5172.

[6] Ahmadi P., Dincer I., Rosen M. A.  Exergo-Environmental Analysis of an Integrated Organic Rankine Cycle for Trigeneration, Energy Conversion and Management (2012)64: 447-453.

[7] Khaliq A.  Exergy Analysis of Gas Turbine Trigeneration System for Combined Production of Power Heat and Refrigeration, International Journal of Refrigeration (2009)32:534-545.

[8] Ahmadi P., Rosen M. A., Dincer I.  Greenhouse Gas Emission and Exergo-Environmental Analyses of a Trigeneration Energy System, International Journal of Greenhouse Gas Control (2011) 5:1540-1549.

[9] Marston C. H.  Parametric Analysis of the Kalina Cycle, Journal of Engineering for Gas Turbines and Power (1990)112: 107-116.

[10]Wall G., Chuang C.-C., Ishida M.,  Exergy Study of the Kalina Cycle, Analysis and Design of Energy Systems: Analysis of Industrial Processes (1989)10: 73-77.

[11]Wang J., Yan Z., Zhou E., Dai Y.  Parametric Analysis and Optimization of a Kalina Cycle Driven by Solar Energy, Applied Thermal Engineering (2013)50:408-415.

[12]Chua H., Toh H., Ng K.,  Thermodynamic Modeling of an Ammonia–Water Absorption Chiller, International Journal of Refrigeration (2002) 25:896-906.

[13]Garousi Farshi L., Mahmoudi S. M. S., Rosen M. A., Yari M., Amidpour M.,  Exergoeconomic Analysis of Double Effect Absorption Refrigeration Systems, Energy Conversion and Management (2013) 65:13-25.

[14]Bejan A.  Advanced Engineering Thermodynamicsed., 1119052092, John Wiley & Sons (2016): 69-72.

[15]Duffie J. A., Beckman W. A., Worek W. M.  Solar Engineering of Thermal Processes, 4th Edition, 1118418123, Academic Press (2009) : 121 – 217.

[16]Baghernejad A., Yaghoubi M., Jafarpur K.,  Exergoeconomic Optimization and Environmental Analysis of a Novel Solar-Trigeneration System for Heating, Cooling and Power Production Purpose, Solar Energy (2016) 134:165-179.

[17]Baghernejad A., Yaghoubi M., Jafarpur K.,  Exergoeconomic Comparison of Three Novel Trigeneration Systems Using SOFC, Biomass and Solar Energies, Applied Thermal Engineering (2016) 104: 534-555.

[18]Abuelnuor A., Saqr K. M., Mohieldein S. A. A., Dafallah K. A., Abdullah M. M., Nogoud Y. A. M.,  Exergy Analysis of Garri “2” 180MW Combined Cycle Power Plant, Renewable and Sustainable Energy Reviews (2017) 79: 960-969.

[19]Kalogirou S. A.,  Parabolic Trough Collectors for Industrial Process Heat in Cyprus, Energy (2002) 27:813-830.

[20]Kalogirou S. A.,  Solar Energy Engineering: Processes and Systems, 9780123745019, Academic Press (2009) 101-250.

[21]Kalogirou S. A., Lloyd S., Ward J., Eleftheriou P.,  Design and Performance Characteristics of a Parabolic-Trough Solar-Collector System, Applied Energy, (1994) 47:341-354.

[22]Ozlu S., Dincer I.,  Development and Analysis of a Solar and Wind Energy Based Multigeneration System, Solar Energy (2015) 122:1279-1295.

[23]Ozlu S., Dincer I.,  Analysis and Evaluation of a New Solar Energy‐Based Multigeneration System, International Journal of Energy Research (2016)40: 1339-1354.

[24]Ozlu S., Dincer I.,  Performance Assessment of a New Solar Energy-Based Multigeneration System, Energy (2016) 112: 164-178.

[25]Goosen M. F. A., Sablani S. S., Shayya W. H., Paton C., Al-Hinai H.  Thermodynamic and Economic Considerations in Solar Desalination, Desalination (2000) 129: 63-89.

[26]Holland J. H.  Genetic Algorithms, Scientific American (1992) 267:66-73.

[27]Davis L.  Handbook of genetic algorithms, Van Nostrand Reinhold (1991) 2-12.