IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v8y2015i11p12360-13161d59079.html
   My bibliography  Save this article

Multi-Objective Optimization Design for Indirect Forced-Circulation Solar Water Heating System Using NSGA-II

Author

Listed:
  • Myeong Jin Ko

    (Urban Development Institute, Incheon National University, Incheon 406-772, Korea)

Abstract

In this study, the multi-objective optimization of an indirect forced-circulation solar water heating (SWH) system was performed to obtain the optimal configuration that minimized the life cycle cost (LCC) and maximized the life cycle net energy saving (LCES). An elitist non-dominated sorting genetic algorithm (NSGA-II) was employed to obtain the Pareto optimal solutions of the multi-objective optimization. To incorporate the characteristics of practical SWH systems, operation-related decision variables as well as capacity-related decision variables were included. The proposed method was used to conduct a case study wherein the optimal configuration of the SWH system of an office building was determined. The case study results showed that the energy cost decreases linearly and the equipment cost increases more significantly as the LCES increases. However, the results also showed that it is difficult to identify the best solution among the Pareto optimal solutions using only the correlation between the corresponding objective function values. Furthermore, regression analysis showed that the energy and economic performances of the Pareto optimal solutions are significantly influenced by the ratio of the storage tank volume to the collector area (RVA). Therefore, it is necessary to simultaneously consider the trade-off and the effect of the RVA on the Pareto optimal solutions while selecting the best solution from among the optimal solutions.

Suggested Citation

  • Myeong Jin Ko, 2015. "Multi-Objective Optimization Design for Indirect Forced-Circulation Solar Water Heating System Using NSGA-II," Energies, MDPI, vol. 8(11), pages 1-25, November.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:11:p:12360-13161:d:59079
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/8/11/12360/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/8/11/12360/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kalogirou, Soteris A., 2004. "Optimization of solar systems using artificial neural-networks and genetic algorithms," Applied Energy, Elsevier, vol. 77(4), pages 383-405, April.
    2. Myeong Jin Ko, 2015. "Analysis and Optimization Design of a Solar Water Heating System Based on Life Cycle Cost Using a Genetic Algorithm," Energies, MDPI, vol. 8(10), pages 1-24, October.
    3. Shariah, A.M. & Löf, G.O.G., 1996. "The optimization of tank-volume-to-collector-area ratio for a thermosyphon solar water heater," Renewable Energy, Elsevier, vol. 7(3), pages 289-300.
    4. Khorasaninejad, Ehsan & Hajabdollahi, Hassan, 2014. "Thermo-economic and environmental optimization of solar assisted heat pump by using multi-objective particle swam algorithm," Energy, Elsevier, vol. 72(C), pages 680-690.
    5. Bornatico, Raffaele & Pfeiffer, Michael & Witzig, Andreas & Guzzella, Lino, 2012. "Optimal sizing of a solar thermal building installation using particle swarm optimization," Energy, Elsevier, vol. 41(1), pages 31-37.
    6. Matrawy, K.K. & Farkas, I., 1997. "New technique for short term storage sizing," Renewable Energy, Elsevier, vol. 11(1), pages 129-141.
    7. Konak, Abdullah & Coit, David W. & Smith, Alice E., 2006. "Multi-objective optimization using genetic algorithms: A tutorial," Reliability Engineering and System Safety, Elsevier, vol. 91(9), pages 992-1007.
    8. Yan, Chengchu & Wang, Shengwei & Ma, Zhenjun & Shi, Wenxing, 2015. "A simplified method for optimal design of solar water heating systems based on life-cycle energy analysis," Renewable Energy, Elsevier, vol. 74(C), pages 271-278.
    9. Hang, Yin & Du, Lili & Qu, Ming & Peeta, Srinivas, 2013. "Multi-objective optimization of integrated solar absorption cooling and heating systems for medium-sized office buildings," Renewable Energy, Elsevier, vol. 52(C), pages 67-78.
    10. Lima, Juliana Benoni Arruda & Prado, Racine T.A. & Montoro Taborianski, Vanessa, 2006. "Optimization of tank and flat-plate collector of solar water heating system for single-family households to assure economic efficiency through the TRNSYS program," Renewable Energy, Elsevier, vol. 31(10), pages 1581-1595.
    11. Myeong Jin Ko, 2015. "A Novel Design Method for Optimizing an Indirect Forced Circulation Solar Water Heating System Based on Life Cycle Cost Using a Genetic Algorithm," Energies, MDPI, vol. 8(10), pages 1-26, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xun Yang & Yong Wang & Teng Xiong, 2017. "Numerical and Experimental Study on a Solar Water Heating System in Lhasa," Energies, MDPI, vol. 10(7), pages 1-13, July.
    2. He, Zhaoyu & Farooq, Abdul Samad & Guo, Weimin & Zhang, Peng, 2022. "Optimization of the solar space heating system with thermal energy storage using data-driven approach," Renewable Energy, Elsevier, vol. 190(C), pages 764-776.
    3. Tayyab, Muhammad & Cheema, Taqi Ahmad & Malik, Muhammad Sohail & Muzaffar, Atif & Sajid, Muhammad Bilal & Park, Cheol Woo, 2020. "Investigation of thermal energy exchange potential of a gravitational water vortex," Renewable Energy, Elsevier, vol. 162(C), pages 1380-1398.
    4. Xun Yang & Teng Xiong & Jing Liang Dong & Wen Xin Li & Yong Wang, 2017. "Investigation of the Dynamic Melting Process in a Thermal Energy Storage Unit Using a Helical Coil Heat Exchanger," Energies, MDPI, vol. 10(8), pages 1-18, August.
    5. Sajid Mehmood & Serguey A. Maximov & Hannah Chalmers & Daniel Friedrich, 2020. "Energetic, Economic and Environmental (3E) Assessment and Design of Solar-Powered HVAC Systems in Pakistan," Energies, MDPI, vol. 13(17), pages 1-25, August.
    6. Carlos J. Porras-Prieto & Susana Benedicto-Schönemann & Fernando R. Mazarrón & Rosa M. Benavente, 2016. "Profitability Variations of a Solar System with an Evacuated Tube Collector According to Schedules and Frequency of Hot Water Demand," Energies, MDPI, vol. 9(12), pages 1-15, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rey, Anthony & Zmeureanu, Radu, 2018. "Multi-objective optimization framework for the selection of configuration and equipment sizing of solar thermal combisystems," Energy, Elsevier, vol. 145(C), pages 182-194.
    2. Myeong Jin Ko, 2015. "A Novel Design Method for Optimizing an Indirect Forced Circulation Solar Water Heating System Based on Life Cycle Cost Using a Genetic Algorithm," Energies, MDPI, vol. 8(10), pages 1-26, October.
    3. Akhlaque Ahmad Khan & Ahmad Faiz Minai & Rupendra Kumar Pachauri & Hasmat Malik, 2022. "Optimal Sizing, Control, and Management Strategies for Hybrid Renewable Energy Systems: A Comprehensive Review," Energies, MDPI, vol. 15(17), pages 1-29, August.
    4. Afzal, Asif & Buradi, Abdulrajak & Jilte, Ravindra & Shaik, Saboor & Kaladgi, Abdul Razak & Arıcı, Muslum & Lee, Chew Tin & Nižetić, Sandro, 2023. "Optimizing the thermal performance of solar energy devices using meta-heuristic algorithms: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    5. Zakariya Kaneesamkandi & Abdulaziz Almujahid & Basharat Salim, 2022. "Selection of an Appropriate Solar Thermal Technology for Solar Vapor Absorption Cooling—An MADM Approach," Energies, MDPI, vol. 15(5), pages 1-25, March.
    6. Xun Yang & Teng Xiong & Jing Liang Dong & Wen Xin Li & Yong Wang, 2017. "Investigation of the Dynamic Melting Process in a Thermal Energy Storage Unit Using a Helical Coil Heat Exchanger," Energies, MDPI, vol. 10(8), pages 1-18, August.
    7. Xun Yang & Yong Wang & Teng Xiong, 2017. "Numerical and Experimental Study on a Solar Water Heating System in Lhasa," Energies, MDPI, vol. 10(7), pages 1-13, July.
    8. Qiu, Guodong & Yu, Shipeng & Cai, Weihua, 2021. "A novel heating strategy and its optimization of a solar heating system for a commercial building in term of economy," Energy, Elsevier, vol. 221(C).
    9. Gupta, A. & Anand, Y. & Tyagi, S.K. & Anand, S., 2016. "Economic and thermodynamic study of different cooling options: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 164-194.
    10. Pintaldi, Sergio & Perfumo, Cristian & Sethuvenkatraman, Subbu & White, Stephen & Rosengarten, Gary, 2015. "A review of thermal energy storage technologies and control approaches for solar cooling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 975-995.
    11. Carlos J. Porras-Prieto & Susana Benedicto-Schönemann & Fernando R. Mazarrón & Rosa M. Benavente, 2016. "Profitability Variations of a Solar System with an Evacuated Tube Collector According to Schedules and Frequency of Hot Water Demand," Energies, MDPI, vol. 9(12), pages 1-15, December.
    12. Gautam, Abhishek & Chamoli, Sunil & Kumar, Alok & Singh, Satyendra, 2017. "A review on technical improvements, economic feasibility and world scenario of solar water heating system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 541-562.
    13. Fux, Samuel F. & Benz, Michael J. & Guzzella, Lino, 2013. "Economic and environmental aspects of the component sizing for a stand-alone building energy system: A case study," Renewable Energy, Elsevier, vol. 55(C), pages 438-447.
    14. Mahmoudimehr, Javad & Sebghati, Parvin, 2019. "A novel multi-objective Dynamic Programming optimization method: Performance management of a solar thermal power plant as a case study," Energy, Elsevier, vol. 168(C), pages 796-814.
    15. Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Lee, Myeonghwi & Koo, Choongwan & Lee, Minhyun & Ji, Changyoon & Jeong, Jaewook, 2016. "An integrated multi-objective optimization model for determining the optimal solution in the solar thermal energy system," Energy, Elsevier, vol. 102(C), pages 416-426.
    16. Sajid Mehmood & Serguey A. Maximov & Hannah Chalmers & Daniel Friedrich, 2020. "Energetic, Economic and Environmental (3E) Assessment and Design of Solar-Powered HVAC Systems in Pakistan," Energies, MDPI, vol. 13(17), pages 1-25, August.
    17. Nwosu, P.N. & Agbiogwu, D., 2013. "Thermal analysis of a novel fibre-reinforced plastic solar hot water storage tank," Energy, Elsevier, vol. 60(C), pages 109-115.
    18. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    19. Kosmas A. Kavadias & Panagiotis Triantafyllou, 2021. "Hybrid Renewable Energy Systems’ Optimisation. A Review and Extended Comparison of the Most-Used Software Tools," Energies, MDPI, vol. 14(24), pages 1-28, December.
    20. Tayyab, Muhammad & Cheema, Taqi Ahmad & Malik, Muhammad Sohail & Muzaffar, Atif & Sajid, Muhammad Bilal & Park, Cheol Woo, 2020. "Investigation of thermal energy exchange potential of a gravitational water vortex," Renewable Energy, Elsevier, vol. 162(C), pages 1380-1398.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:8:y:2015:i:11:p:12360-13161:d:59079. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.