IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v140y2017ip1p340-351.html
   My bibliography  Save this article

Development of an optimization based design framework for microgrid energy systems

Author

Listed:
  • Cao, Tao
  • Hwang, Yunho
  • Radermacher, Reinhard

Abstract

A comprehensive optimization study considering both system configurations and operation signals is needed for microgrid energy systems. For this, this study provides an advanced optimization based design framework that extends existing energy system optimization studies in following four aspects: complete system optimization from the beginning, comprehensive energy conversion equipment modeling, modeling of cascaded configurations, and consideration of transient loads and weather profiles. This framework aims to find optimum system configurations and operation signals for any given equipment options, and load- and weather-profiles. The framework is presented through a case study on an oceanic container transportation application. Optimized system configurations and operation signals are found under three different scenarios: minimizing life cycle cost as single objective, minimizing capital cost and annual fuel energy consumption as bi-objective, and minimizing life cycle cost considering uncertainties in load profiles. The optimized system could reduce system life cycle cost by 40% in single objective scenario and 45–52% at different levels of robustness. Exploring waste heat from the main ship propulsion engine is the key to reduce life cycle cost. The framework can be applied for a wide range of applications as an efficient tool to search for novel system designs and their evaluations.

Suggested Citation

  • Cao, Tao & Hwang, Yunho & Radermacher, Reinhard, 2017. "Development of an optimization based design framework for microgrid energy systems," Energy, Elsevier, vol. 140(P1), pages 340-351.
    • Handle: RePEc:eee:energy:v:140:y:2017:i:p1:p:340-351
    DOI: 10.1016/j.energy.2017.08.120
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217314950
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.08.120?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. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Particle swarm optimization for redundant building cooling heating and power system," Applied Energy, Elsevier, vol. 87(12), pages 3668-3679, December.
    2. Wakui, Tetsuya & Yokoyama, Ryohei, 2014. "Optimal structural design of residential cogeneration systems in consideration of their operating restrictions," Energy, Elsevier, vol. 64(C), pages 719-733.
    3. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa, 2010. "Optimization of capacity and operation for CCHP system by genetic algorithm," Applied Energy, Elsevier, vol. 87(4), pages 1325-1335, April.
    4. Sayyaadi, Hoseyn & Babaie, Meisam & Farmani, Mohammad Reza, 2011. "Implementing of the multi-objective particle swarm optimizer and fuzzy decision-maker in exergetic, exergoeconomic and environmental optimization of a benchmark cogeneration system," Energy, Elsevier, vol. 36(8), pages 4777-4789.
    5. Zare, V. & Mahmoudi, S.M.S. & Yari, M. & Amidpour, M., 2012. "Thermoeconomic analysis and optimization of an ammonia–water power/cooling cogeneration cycle," Energy, Elsevier, vol. 47(1), pages 271-283.
    6. Wu, Jing-yi & Wang, Jia-long & Li, Sheng, 2012. "Multi-objective optimal operation strategy study of micro-CCHP system," Energy, Elsevier, vol. 48(1), pages 472-483.
    7. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Xutao & Zhang, Chunfa, 2011. "Sensitivity analysis of optimal model on building cooling heating and power system," Applied Energy, Elsevier, vol. 88(12), pages 5143-5152.
    8. Wakui, Tetsuya & Kinoshita, Takahiro & Yokoyama, Ryohei, 2014. "A mixed-integer linear programming approach for cogeneration-based residential energy supply networks with power and heat interchanges," Energy, Elsevier, vol. 68(C), pages 29-46.
    9. Fumo, Nelson & Mago, Pedro J. & Chamra, Louay M., 2009. "Emission operational strategy for combined cooling, heating, and power systems," Applied Energy, Elsevier, vol. 86(11), pages 2344-2350, November.
    10. Liu, Mingxi & Shi, Yang & Fang, Fang, 2013. "Optimal power flow and PGU capacity of CCHP systems using a matrix modeling approach," Applied Energy, Elsevier, vol. 102(C), pages 794-802.
    11. Rong, Aiying & Lahdelma, Risto, 2005. "An efficient linear programming model and optimization algorithm for trigeneration," Applied Energy, Elsevier, vol. 82(1), pages 40-63, September.
    12. Janghorban Esfahani, I. & Yoo, C.K., 2013. "Exergy analysis and parametric optimization of three power and fresh water cogeneration systems using refrigeration chillers," Energy, Elsevier, vol. 59(C), pages 340-355.
    13. Karaali, Rabi & Öztürk, İlhan Tekin, 2015. "Thermoeconomic optimization of gas turbine cogeneration plants," Energy, Elsevier, vol. 80(C), pages 474-485.
    14. Liu, Mingxi & Shi, Yang & Fang, Fang, 2012. "A new operation strategy for CCHP systems with hybrid chillers," Applied Energy, Elsevier, vol. 95(C), pages 164-173.
    15. Sayyaadi, Hoseyn, 2009. "Multi-objective approach in thermoenvironomic optimization of a benchmark cogeneration system," Applied Energy, Elsevier, vol. 86(6), pages 867-879, June.
    16. Cao, Tao & Lee, Hoseong & Hwang, Yunho & Radermacher, Reinhard & Chun, Ho-Hwan, 2016. "Modeling of waste heat powered energy system for container ships," Energy, Elsevier, vol. 106(C), pages 408-421.
    17. Buoro, Dario & Pinamonti, Piero & Reini, Mauro, 2014. "Optimization of a Distributed Cogeneration System with solar district heating," Applied Energy, Elsevier, vol. 124(C), pages 298-308.
    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. Athila Quaresma Santos & Zheng Ma & Casper Gellert Olsen & Bo Nørregaard Jørgensen, 2018. "Framework for Microgrid Design Using Social, Economic, and Technical Analysis," Energies, MDPI, vol. 11(10), pages 1-22, October.
    2. Gao, Lei & Hwang, Yunho & Cao, Tao, 2019. "An overview of optimization technologies applied in combined cooling, heating and power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    3. Wang, Xuan & Jin, Ming & Feng, Wei & Shu, Gequn & Tian, Hua & Liang, Youcai, 2018. "Cascade energy optimization for waste heat recovery in distributed energy systems," Applied Energy, Elsevier, vol. 230(C), pages 679-695.
    4. Ghanaee, Reza & Akbari Foroud, Asghar, 2019. "Enhanced structure and optimal capacity sizing method for turbo-expander based microgrid with simultaneous recovery of cooling and electrical energy," Energy, Elsevier, vol. 170(C), pages 284-304.
    5. Yang, Ting & Zhao, Liyuan & Li, Wei & Zomaya, Albert Y., 2021. "Dynamic energy dispatch strategy for integrated energy system based on improved deep reinforcement learning," Energy, Elsevier, vol. 235(C).
    6. Ajagekar, Akshay & You, Fengqi, 2019. "Quantum computing for energy systems optimization: Challenges and opportunities," Energy, Elsevier, vol. 179(C), pages 76-89.
    7. Xiao Gong & Fan Li & Bo Sun & Dong Liu, 2020. "Collaborative Optimization of Multi-Energy Complementary Combined Cooling, Heating, and Power Systems Considering Schedulable Loads," Energies, MDPI, vol. 13(4), pages 1-17, February.
    8. Fioriti, Davide & Pintus, Salvatore & Lutzemberger, Giovanni & Poli, Davide, 2020. "Economic multi-objective approach to design off-grid microgrids: A support for business decision making," Renewable Energy, Elsevier, vol. 159(C), pages 693-704.
    9. Hak-Ju Lee & Ba Hau Vu & Rehman Zafar & Sung-Wook Hwang & Il-Yop Chung, 2021. "Design Framework of a Stand-Alone Microgrid Considering Power System Performance and Economic Efficiency," Energies, MDPI, vol. 14(2), pages 1-28, January.

    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. Jradi, M. & Riffat, S., 2014. "Tri-generation systems: Energy policies, prime movers, cooling technologies, configurations and operation strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 396-415.
    2. Wang, Jiang-Jiang & Xu, Zi-Long & Jin, Hong-Guang & Shi, Guo-hua & Fu, Chao & Yang, Kun, 2014. "Design optimization and analysis of a biomass gasification based BCHP system: A case study in Harbin, China," Renewable Energy, Elsevier, vol. 71(C), pages 572-583.
    3. Li, Longxi & Mu, Hailin & Gao, Weijun & Li, Miao, 2014. "Optimization and analysis of CCHP system based on energy loads coupling of residential and office buildings," Applied Energy, Elsevier, vol. 136(C), pages 206-216.
    4. 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.
    5. Liu, Mingxi & Shi, Yang & Fang, Fang, 2014. "Combined cooling, heating and power systems: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 1-22.
    6. Jayasekara, Saliya & Halgamuge, Saman K. & Attalage, Rahula A. & Rajarathne, Rohitha, 2014. "Optimum sizing and tracking of combined cooling heating and power systems for bulk energy consumers," Applied Energy, Elsevier, vol. 118(C), pages 124-134.
    7. Cho, Heejin & Smith, Amanda D. & Mago, Pedro, 2014. "Combined cooling, heating and power: A review of performance improvement and optimization," Applied Energy, Elsevier, vol. 136(C), pages 168-185.
    8. Han, Jie & Ouyang, Leixin & Xu, Yuzhen & Zeng, Rong & Kang, Shushuo & Zhang, Guoqiang, 2016. "Current status of distributed energy system in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 288-297.
    9. Liu, Mingxi & Shi, Yang & Fang, Fang, 2012. "A new operation strategy for CCHP systems with hybrid chillers," Applied Energy, Elsevier, vol. 95(C), pages 164-173.
    10. Tian, Zhe & Niu, Jide & Lu, Yakai & He, Shunming & Tian, Xue, 2016. "The improvement of a simulation model for a distributed CCHP system and its influence on optimal operation cost and strategy," Applied Energy, Elsevier, vol. 165(C), pages 430-444.
    11. Wang, Jiangjiang & Yang, Ying & Mao, Tianzhi & Sui, Jun & Jin, Hongguang, 2015. "Life cycle assessment (LCA) optimization of solar-assisted hybrid CCHP system," Applied Energy, Elsevier, vol. 146(C), pages 38-52.
    12. Ikeda, Shintaro & Ooka, Ryozo, 2015. "Metaheuristic optimization methods for a comprehensive operating schedule of battery, thermal energy storage, and heat source in a building energy system," Applied Energy, Elsevier, vol. 151(C), pages 192-205.
    13. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2011. "Influence analysis of building types and climate zones on energetic, economic and environmental performances of BCHP systems," Applied Energy, Elsevier, vol. 88(9), pages 3097-3112.
    14. Wei, Dajun & Chen, Alian & Sun, Bo & Zhang, Chenghui, 2016. "Multi-objective optimal operation and energy coupling analysis of combined cooling and heating system," Energy, Elsevier, vol. 98(C), pages 296-307.
    15. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Particle swarm optimization for redundant building cooling heating and power system," Applied Energy, Elsevier, vol. 87(12), pages 3668-3679, December.
    16. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Xutao & Zhang, Chunfa, 2011. "Sensitivity analysis of optimal model on building cooling heating and power system," Applied Energy, Elsevier, vol. 88(12), pages 5143-5152.
    17. Ahn, Hyeunguk & Freihaut, James D. & Rim, Donghyun, 2019. "Economic feasibility of combined cooling, heating, and power (CCHP) systems considering electricity standby tariffs," Energy, Elsevier, vol. 169(C), pages 420-432.
    18. Das, Barun K. & Al-Abdeli, Yasir M. & Kothapalli, Ganesh, 2018. "Effect of load following strategies, hardware, and thermal load distribution on stand-alone hybrid CCHP systems," Applied Energy, Elsevier, vol. 220(C), pages 735-753.
    19. Li, Guoqing & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Bai, Linquan & Cui, Hantao & Li, Xiaojing, 2017. "Optimal dispatch strategy for integrated energy systems with CCHP and wind power," Applied Energy, Elsevier, vol. 192(C), pages 408-419.
    20. Liu, Mingxi & Shi, Yang & Fang, Fang, 2013. "Optimal power flow and PGU capacity of CCHP systems using a matrix modeling approach," Applied Energy, Elsevier, vol. 102(C), pages 794-802.

    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:energy:v:140:y:2017:i:p1:p:340-351. 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.journals.elsevier.com/energy .

    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.