Transactions on Machine Intelligence

Transactions on Machine Intelligence

Performance Analysis and Energy Conversion of Control’s Solar-Geothermal Combined Cooling, Heating and Power (CCHP) Systems with Hydrogen Production

Document Type : Original Article

Authors
1 Department of Energy and Aerospace Engineering, Shiraz University, Shiraz, Iran
2 Department of Mechanical Engineering, Alzahra University, Tehran ،Iran
Abstract
This study employs the Response Surface Method (RSM) and transient analysis to optimize the design of a solar-assisted-geothermal combined cooling, heating, and power (SG-CCHP) system, integrated with hydrogen storage, for residential applications. The optimization focuses on both energy efficiency and economic performance. The SG-CCHP system comprises two steam turbines (STs), photovoltaic/thermal (PV/T) collectors, a fuel cell circuit, an absorption chiller, a heat pump (HP), and energy storage systems, including battery cells and a hydrogen storage unit. System performance is evaluated through transient analysis using the TRNSYS modeling tool. Key design parameters are identified, and the Design of Experiments (DOE) method is utilized to determine their optimal configuration. Multiple simulation scenarios are generated using DOE, and RSM is applied to analyze the results. Once the optimal SG-CCHP configuration is identified, the transient interactions between control design factors and techno-economic metrics are examined. The findings reveal that the optimized system achieves significant reductions in annual life cycle costs, thermal comfort levels, total energy consumption, and natural gas usage by the auxiliary boiler. Furthermore, the integration of battery and hydrogen storage components enhances system efficiency, with the electrolyzer, fuel cell, PV/T thermal, and electrical systems reaching annual efficiencies of 90%, 60%, 23%, and 18%, respectively. These results demonstrate the potential of the optimized SG-CCHP system to improve both energy performance and economic viability in residential settings.
Keywords

[1]      A. Razmjoo, L.G. Kaigutha, M.V. Rad, M. Marzband, A. Davarpanah, M. Denai. A Technical analysis investigating energy sustainability utilizing reliable renewable energy sources to reduce CO2 emissions in a high potential area. Renewable Energy. 164 (2021) 46-57. https://doi.org/10.1016/j.renene.2020.09.042
[2]      G. Srinivasan, P. Muthukumar. A review on solar greenhouse dryer: Design, thermal modelling, energy, economic and environmental aspects. Solar Energy. 229 (2021) 3-21. https://doi.org/10.1016/j.solener.2021.04.058
[3]      S. Bilgen. Structure and environmental impact of global energy consumption. Renewable and Sustainable Energy Reviews. 38 (2014) 890-902. https://doi.org/10.1016/j.rser.2014.07.004
[4]      M.A. Bagherian, K. Mehranzamir, A.B. Pour, S. Rezania, E. Taghavi, H. Nabipour-Afrouzi, et al. Classification and analysis of optimization techniques for integrated energy systems utilizing renewable energy sources: a review for CHP and CCHP systems. Processes. 9 (2021) 339. https://doi.org/10.3390/pr9020339
[5]      K. Chen, M. Pan. Operation optimization of combined cooling, heating, and power superstructure system for satisfying demand fluctuation. Energy. 237 (2021) 121599. https://doi.org/10.1016/j.energy.2021.121599
[6]      M. Rajabi, M. Mehrpooya, Z. Haibo, Z. Huang. Chemical looping technology in CHP (combined heat and power) and CCHP (combined cooling heating and power) systems: A critical review. Applied Energy. 253 (2019) 113544. https://doi.org/10.1016/j.apenergy.2019.113544
[7]      D. Ma, L. Zhang, B. Sun. An interval scheduling method for the CCHP system containing renewable energy sources based on model predictive control. Energy. 236 (2021) 121418. https://doi.org/10.1016/j.energy.2021.121418
[8]      J. Zhao, H. Chang, X. Luo, Z. Tu, S.H. Chan. A novel type of PEMFC-based CCHP system with independent control of refrigeration and dehumidification. Applied Thermal Engineering. 204 (2022) 117915. https://doi.org/10.1016/j.applthermaleng.2021.117915
[9]      E. Ozden, I. Tari. PEM fuel cell degradation effects on the performance of a stand-alone solar energy system. International Journal of Hydrogen Energy. 42 (2017) 13217-25. https://doi.org/10.1016/j.ijhydene.2017.04.017
[10]   S. Kavian, C. Aghanajafi, H.J. Mosleh, A. Nazari, A. Nazari. Exergy, economic and environmental evaluation of an optimized hybrid photovoltaic-geothermal heat pump system. Applied Energy. 276 (2020) 115469. https://doi.org/10.1016/j.apenergy.2020.115469
[11]   X. Wang, Y. Xu, Z. Fu, J. Guo, Z. Bao, W. Li, et al. A dynamic interactive optimization model of CCHP system involving demand-side and supply-side impacts of climate change. Part I: Methodology development. Energy Conversion and Management. 252 (2022) 115112. https://doi.org/10.1016/j.enconman.2021.115112
[12]   H.R. Takleh, V. Zare, F. Mohammadkhani, M. Sadeghiazad. Proposal and thermoeconomic assessment of an efficient booster-assisted CCHP system based on solar-geothermal energy. Energy. 246 (2022) 123360. https://doi.org/10.1016/j.energy.2022.123360
[13]   F. Ren, Z. Wei, X. Zhai. Multi-objective optimization and evaluation of hybrid CCHP systems for different building types. Energy. 215 (2021) 119096. https://doi.org/10.1016/j.energy.2020.119096
[14]   F. Musharavati, S. Khanmohammadi, A. Pakseresht. A novel multi-generation energy system based on geothermal energy source: Thermo-economic evaluation and optimization. Energy Conversion and Management. 230 (2021) 113829. https://doi.org/10.1016/j.enconman.2021.113829
[15]   N. Li, X. Zhao, X. Shi, Z. Pei, H. Mu, F. Taghizadeh-Hesary. Integrated energy systems with CCHP and hydrogen supply: A new outlet for curtailed wind power. Applied Energy. 303 (2021) 117619. https://doi.org/10.1016/j.apenergy.2021.117619
[16]   F. Bernoosi, M.E. Nazari. Optimal sizing of hybrid PV/T-fuel cell CHP system using a heuristic optimization algorithm. 2019 International Power System Conference (PSC). IEEE2019. pp. 57-63. https://doi.org/10.1109/PSC49016.2019.9081541
[17]   M. Hashemzehi, V. Pirouzfar, H. Nayebzadeh, C.H. Su. Modelling and optimization of main independent parameters for biodiesel production over a Cu0. 4Zn0. 6Al2O4 catalyst using an RSM method. Journal of Chemical Technology & Biotechnology. 97 (2022) 111-9. https://doi.org/10.1002/jctb.6916
[18]   R. Ahmed, S. Mahadzir, N.E.M. Rozali, K. Biswas, F. Matovu, K. Ahmed. Artificial intelligence techniques in refrigeration system modelling and optimization: A multi-disciplinary review. Sustainable Energy Technologies and Assessments. 47 (2021) 101488. https://doi.org/10.1016/j.seta.2021.101488
[19]   M. Kazemian, S.G. Nassab, E.J. Javaran. Comparative techno-economic investigation of CCHP combined by GSHP based on response surface methodology. Thermal Science and Engineering Progress. (2022) 101386. https://doi.org/10.1016/j.tsep.2022.101386
[20]   N. Mahdavi, P. Mojaver, S. Khalilarya. Multi-objective optimization of power, CO2 emission and exergy efficiency of a novel solar-assisted CCHP system using RSM and TOPSIS coupled method. Renewable Energy. 185 (2022) 506-24. https://doi.org/10.1016/j.renene.2021.12.078
[21]   E. Saedpanah, H. Pasdarshahri. Performance assessment of hybrid desiccant air conditioning systems: A dynamic approach towards achieving optimum 3E solution across the lifespan. Energy. 234 (2021) 121151. https://doi.org/10.1016/j.energy.2021.121151
[22]   R. Shrivastava, V. Kumar, S. Untawale. Modeling and simulation of solar water heater: A TRNSYS perspective. Renewable and Sustainable Energy Reviews. 67 (2017) 126-43. https://doi.org/10.1016/j.rser.2016.09.005
[23]   G. A' lvarez, M. Chagolla, J. Xama' n, M. Jime' nez, S. Sua' rez, M. Heras. A TRNSYS Simulation and Experimental Comparison of the Thermal Behavior of a Building Located in Desert Climate. Energy Sustainability2010. pp. 349-56. https://doi.org/10.1115/ES2010-90272
[24]   J.F. Kreider, F. Kreith. Solar energy handbook. (1981). https://doi.org/10.1115/1.3266267
[25]   W. Yaïci, E. Entchev, K. Lombardi. Experimental and simulation study on a solar domestic hot water system with flat-plate collectors for the Canadian climatic conditions. Energy Sustainability. American Society of Mechanical Engineers2012. pp. 69-78. https://doi.org/10.1115/ES2012-91295
[26]   Y. Allard, M. Kummert, M. Bernier, A. Moreau. Intermodel comparison and experimental validation of electrical water heater models in TRNSYS. Proceedings of Building Simulation2011. pp. 688-95.
[27]   D. Brough, J. Ramos, B. Delpech, H. Jouhara. Development and validation of a TRNSYS type to simulate heat pipe heat exchangers in transient applications of waste heat recovery. International Journal of Thermofluids. 9 (2021) 100056. https://doi.org/10.1016/j.ijft.2020.100056
[28]   M. Rezvanpour, D. Borooghani, F. Torabi, M. Pazoki. Using CaCl2· 6H2O as a phase change material for thermo-regulation and enhancing photovoltaic panels' conversion efficiency: Experimental study and TRNSYS validation. Renewable Energy. 146 (2020) 1907-21. https://doi.org/10.1016/j.renene.2019.07.075
[29]   S.A. Kalogirou, R. Agathokleous, G. Barone, A. Buonomano, C. Forzano, A. Palombo. Development and validation of a new TRNSYS Type for thermosiphon flat-plate solar thermal collectors: energy and economic optimization for hot water production in different climates. Renewable energy. 136 (2019) 632-44. https://doi.org/10.1016/j.renene.2018.12.086
[30]   Y. Cao, H.A. Dhahad, H. Togun, A. El-Shafay, S. Alamri, A.A. Rajhi, et al. Development and transient performance analysis of a decentralized grid-connected smart energy system based on hybrid solar-geothermal resources; Techno-economic evaluation. Sustainable Cities and Society. 76 (2022) 103425. https://doi.org/10.1016/j.scs.2021.103425
[31]   N. Sommerfeldt, P. Ollas. Reverse engineering prototype solar PV/thermal collector properties from empirical data for use in TRNSYS type 560. ISES Solar World Congress and IEA Solar Heating and Cooling Conference 2017, Abu Dhabi, UAE, October 29-November 2, 20172017. pp. 1121-32. https://doi.org/10.18086/swc.2017.18.11
[32]   S. Klein, B. Newton, J. Thornton, D. Bradley, J. Mitchell, M. Kummert. TRNSYS Reference Manual: Mathematical Reference. (2006).
[33]   E.E. Kahveci, I. Taymaz. Hydrogen PEMFC stack performance analysis through experimental study of operating parameters by using response surface methodology (RSM). International Journal of Hydrogen Energy. 47 (2022) 12293-303. https://doi.org/10.1016/j.ijhydene.2021.09.119
[34]   A.J. Santhosh, A.D. Tura, I.T. Jiregna, W.F. Gemechu, N. Ashok, M. Ponnusamy. Optimization of CNC turning parameters using face centred CCD approach in RSM and ANNgenetic algorithm for AISI 4340 alloy steel. Results in Engineering. 11 (2021) 100251. https://doi.org/10.1016/j.rineng.2021.100251
[35]   R. Ghelich, M.R. Jahannama, H. Abdizadeh, F.S. Torknik, M.R. Vaezi. Central composite design (CCD)-Response surface methodology (RSM) of effective electrospinning parameters on PVP-B-Hf hybrid nanofibrous composites for synthesis of HfB2-based composite nanofibers. Composites Part B: Engineering. 166 (2019) 527-41. https://doi.org/10.1016/j.compositesb.2019.01.094
[36]   Stat-Ease, Inc. (2021). Design-Expert® software (Version 13.0.5) [Computer software]. Minneapolis, MN: Stat-Ease, Inc.
Volume 5, Issue 3
Summer 2022
Pages 196-209

  • Receive Date 12 May 2022
  • Revise Date 25 August 2022
  • Accept Date 25 September 2022