IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v178y2016icp587-599.html
   My bibliography  Save this article

On the optimization of energy systems: Results utilization in the design process

Author

Listed:
  • Ganjehkaviri, A.
  • Mohd Jaafar, M.N.
  • Hosseini, S.E.
  • Barzegaravval, H.

Abstract

This paper proposes a new methodology to provide a flexible optimum design tool for the multi-objective optimization of energy systems. There are many articles published on the optimization of energy systems, which use a multi-objective evolutionary algorithm for different cases. However a general method for optimization results utilization in design process is not presented to the authors’ knowledge and usually equilibrium point concept is used to select the optimal solution. Here a new method is proposed to improve the optimization results utilization in the design process. This method is applied on a simple energy system to consider the correlations between the design parameter and objective functions. The proposed method is flexible and easy to implement in any design problem. Results provide a neat process of optimum design includes cost limited maximum efficiency and components parameters selection like the condenser pressure and sub cool and superheat degrees. Results also show that compressor efficiency is the most powerful parameter in the case, which has the most significance effects on the optimization results.

Suggested Citation

  • Ganjehkaviri, A. & Mohd Jaafar, M.N. & Hosseini, S.E. & Barzegaravval, H., 2016. "On the optimization of energy systems: Results utilization in the design process," Applied Energy, Elsevier, vol. 178(C), pages 587-599.
    • Handle: RePEc:eee:appene:v:178:y:2016:i:c:p:587-599
    DOI: 10.1016/j.apenergy.2016.06.095
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916308704
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2016.06.095?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sanjay,, 2011. "Investigation of effect of variation of cycle parameters on thermodynamic performance of gas-steam combined cycle," Energy, Elsevier, vol. 36(1), pages 157-167.
    2. Hajabdollahi, Hassan & Ganjehkaviri, Abdolsaeid & Mohd Jaafar, Mohammad Nazri, 2015. "Thermo-economic optimization of RSORC (regenerative solar organic Rankine cycle) considering hourly analysis," Energy, Elsevier, vol. 87(C), pages 369-380.
    3. Luo, Xianglong & Hu, Jiahao & Zhao, Jun & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2014. "Multi-objective optimization for the design and synthesis of utility systems with emission abatement technology concerns," Applied Energy, Elsevier, vol. 136(C), pages 1110-1131.
    4. Mohamed, Ayman & Hamdy, Mohamed & Hasan, Ala & Sirén, Kai, 2015. "The performance of small scale multi-generation technologies in achieving cost-optimal and zero-energy office building solutions," Applied Energy, Elsevier, vol. 152(C), pages 94-108.
    5. Hu, Mengqi & Cho, Heejin, 2014. "A probability constrained multi-objective optimization model for CCHP system operation decision support," Applied Energy, Elsevier, vol. 116(C), pages 230-242.
    6. May, Gökan & Barletta, Ilaria & Stahl, Bojan & Taisch, Marco, 2015. "Energy management in production: A novel method to develop key performance indicators for improving energy efficiency," Applied Energy, Elsevier, vol. 149(C), pages 46-61.
    7. Sanaye, Sepehr & Hajabdollahi, Hassan, 2010. "Thermal-economic multi-objective optimization of plate fin heat exchanger using genetic algorithm," Applied Energy, Elsevier, vol. 87(6), pages 1893-1902, June.
    8. Toffolo, A. & Lazzaretto, A., 2002. "Evolutionary algorithms for multi-objective energetic and economic optimization in thermal system design," Energy, Elsevier, vol. 27(6), pages 549-567.
    9. Chiu, Justin N.W. & Gravoille, Pauline & Martin, Viktoria, 2013. "Active free cooling optimization with thermal energy storage in Stockholm," Applied Energy, Elsevier, vol. 109(C), pages 523-529.
    10. Hosseini, Seyed Ehsan & Wahid, Mazlan Abdul & Aghili, Nasim, 2013. "The scenario of greenhouse gases reduction in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 400-409.
    11. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    12. Hosseini, Seyed Ehsan & Wahid, Mazlan Abdul, 2012. "Necessity of biodiesel utilization as a source of renewable energy in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5732-5740.
    13. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    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. Wang, Fei-Long & He, Ya-Ling & Tang, Song-Zhen & Kulacki, Francis A. & Tao, Yu-Bing, 2019. "Multi-objective optimization of a dual-layer granular filter for hot gas clean-up by using genetic algorithm," Applied Energy, Elsevier, vol. 248(C), pages 463-474.
    2. Ganjehkaviri, A. & Mohd Jaafar, M.N. & Hosseini, S.E. & Barzegaravval, H., 2017. "Genetic algorithm for optimization of energy systems: Solution uniqueness, accuracy, Pareto convergence and dimension reduction," Energy, Elsevier, vol. 119(C), pages 167-177.
    3. Wang, Kun & Li, Ming-Jia & Guo, Jia-Qi & Li, Peiwen & Liu, Zhan-Bin, 2018. "A systematic comparison of different S-CO2 Brayton cycle layouts based on multi-objective optimization for applications in solar power tower plants," Applied Energy, Elsevier, vol. 212(C), pages 109-121.
    4. Matelli, José Alexandre & Goebel, Kai, 2018. "Conceptual design of cogeneration plants under a resilient design perspective: Resilience metrics and case study," Applied Energy, Elsevier, vol. 215(C), pages 736-750.
    5. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei & Du, Ruijin & Lu, Longxi & He, Yu, 2017. "The effect of energy construction adjustment on the dynamical evolution of energy-saving and emission-reduction system in China," Applied Energy, Elsevier, vol. 196(C), pages 180-189.
    6. Wang, Kun & He, Ya-Ling & Xue, Xiao-Dai & Du, Bao-Cun, 2017. "Multi-objective optimization of the aiming strategy for the solar power tower with a cavity receiver by using the non-dominated sorting genetic algorithm," Applied Energy, Elsevier, vol. 205(C), pages 399-416.
    7. Ganjehkaviri, A. & Mohd Jaafar, M.N., 2020. "Multi-objective particle swarm optimization of flat plate solar collector using constructal theory," Energy, Elsevier, vol. 194(C).
    8. Meng, Z.N. & Zhang, P., 2017. "Experimental and numerical investigation of a tube-in-tank latent thermal energy storage unit using composite PCM," Applied Energy, Elsevier, vol. 190(C), pages 524-539.

    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. Ganjehkaviri, A. & Mohd Jaafar, M.N. & Hosseini, S.E. & Barzegaravval, H., 2017. "Genetic algorithm for optimization of energy systems: Solution uniqueness, accuracy, Pareto convergence and dimension reduction," Energy, Elsevier, vol. 119(C), pages 167-177.
    2. Hosseini, Seyed Ehsan & Wahid, Mazlan Abdul, 2014. "Development of biogas combustion in combined heat and power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 868-875.
    3. Xiaolin Chu & Dong Yang & Jia Li, 2019. "Sustainability Assessment of Combined Cooling, Heating, and Power Systems under Carbon Emission Regulations," Sustainability, MDPI, vol. 11(21), pages 1-17, October.
    4. Constantin C. Bungau & Francesca Ioana Hanga Prada & Tudor Bungau & Constantin Bungau & Gabriel Bendea & Marcela Florina Prada, 2023. "Web of Science Scientometrics on the Energy Efficiency of Buildings to Support Sustainable Construction Policies," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
    5. Naserabad, S. Nikbakht & Mehrpanahi, A. & Ahmadi, G., 2018. "Multi-objective optimization of HRSG configurations on the steam power plant repowering specifications," Energy, Elsevier, vol. 159(C), pages 277-293.
    6. Baklacioglu, Tolga & Turan, Onder & Aydin, Hakan, 2015. "Dynamic modeling of exergy efficiency of turboprop engine components using hybrid genetic algorithm-artificial neural networks," Energy, Elsevier, vol. 86(C), pages 709-721.
    7. Charitopoulos, Vassilis M. & Dua, Vivek, 2017. "A unified framework for model-based multi-objective linear process and energy optimisation under uncertainty," Applied Energy, Elsevier, vol. 186(P3), pages 539-548.
    8. Yuquan Meng & Yuhang Yang & Haseung Chung & Pil-Ho Lee & Chenhui Shao, 2018. "Enhancing Sustainability and Energy Efficiency in Smart Factories: A Review," Sustainability, MDPI, vol. 10(12), pages 1-28, December.
    9. Zhao, Xiancong & Bai, Hao & Lu, Xin & Shi, Qi & Han, Jiehai, 2015. "A MILP model concerning the optimisation of penalty factors for the short-term distribution of byproduct gases produced in the iron and steel making process," Applied Energy, Elsevier, vol. 148(C), pages 142-158.
    10. Hosseini, Seyed Ehsan & Wahid, Mazlan Abdul, 2014. "Utilization of palm solid residue as a source of renewable and sustainable energy in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 621-632.
    11. Karasoy, Alper, 2022. "Is innovative technology a solution to Japan's long-run energy insecurity? Dynamic evidence from the linear and nonlinear methods," Technology in Society, Elsevier, vol. 70(C).
    12. Miguel J. Prieto & Juan Á. Martínez & Rogelio Peón & Lourdes Á. Barcia & Fernando Nuño, 2017. "On the Convenience of Using Simulation Models to Optimize the Control Strategy of Molten-Salt Heat Storage Systems in Solar Thermal Power Plants," Energies, MDPI, vol. 10(7), pages 1-17, July.
    13. De Bellis, Fabio & Catalano, Luciano A., 2012. "CFD optimization of an immersed particle heat exchanger," Applied Energy, Elsevier, vol. 97(C), pages 841-848.
    14. Kaika, Dimitra & Zervas, Efthimios, 2013. "The environmental Kuznets curve (EKC) theory. Part B: Critical issues," Energy Policy, Elsevier, vol. 62(C), pages 1403-1411.
    15. Jonathan M. Lee, 2015. "The Impact of Heterogeneous NOx Regulations on Distributed Electricity Generation in U.S. Manufacturing," Working Papers 15-12, Center for Economic Studies, U.S. Census Bureau.
    16. De Borger, Bruno & Mulalic, Ismir & Rouwendal, Jan, 2016. "Measuring the rebound effect with micro data: A first difference approach," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 1-17.
    17. Sahu, Mithilesh Kumar & Sanjay,, 2017. "Comparative exergoeconomics of power utilities: Air-cooled gas turbine cycle and combined cycle configurations," Energy, Elsevier, vol. 139(C), pages 42-51.
    18. Kelly, Scott & Shipworth, Michelle & Shipworth, David & Gentry, Michael & Wright, Andrew & Pollitt, Michael & Crawford-Brown, Doug & Lomas, Kevin, 2013. "Predicting the diversity of internal temperatures from the English residential sector using panel methods," Applied Energy, Elsevier, vol. 102(C), pages 601-621.
    19. Majumder, Suman & De, Krishnarti & Kumar, Praveen & Sengupta, Bodhisattva & Biswas, Pabitra Kumar, 2021. "Techno-commercial analysis of sustainable E-bus-based public transit systems: An Indian case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    20. Katris, Antonios & Turner, Karen, 2021. "Can different approaches to funding household energy efficiency deliver on economic and social policy objectives? ECO and alternatives in the UK," Energy Policy, Elsevier, vol. 155(C).

    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:eee:appene:v:178:y:2016:i:c:p:587-599. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.