IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v205y2017icp1495-1511.html
   My bibliography  Save this article

A multi-scale framework for simultaneous optimization of the design and operating strategy of residential CHP systems

Author

Listed:
  • Ondeck, Abigail
  • Edgar, Thomas F.
  • Baldea, Michael

Abstract

The expected increase in energy demand in the United States has led to the pursuit of more efficient methods to generate thermal and electrical energy for the residential sector. One possible approach that could both increase generation efficiency and reduce CO2 emissions is Combined Heat and Power (CHP). CHP plants, powered by natural gas, can act as an integrated residential utility supplier by producing the thermal and electrical energy needed to meet the heating, cooling, and electricity demands of a (future) residential neighborhood. However, a CHP plant operating in island (i.e., grid-disconnected) mode must be optimally sized to maximize efficiency and to lower the capital and marginal costs. In this paper, we describe a novel simultaneous optimization of design and operating strategies for a CHP plant as a utility producer for a residential neighborhood. The plant, operating in island mode, integrates distributed residential photovoltaic solar power generation, and is optimized to meet a time-dependent energy demand profile characteristic of residential energy use. To accurately capture the variability (hourly and seasonal) and uncertainty in residential energy demand and rooftop photovoltaic generation, a vast amount of energy data were incorporated in the problem formulation. The multi-scale optimization problem was solved using a temporal Lagrangean decomposition method, generating the design of a CHP plant that can efficiently meet all residential utility demands, taking into consideration the long-term (design) and short-term (operational) costs.

Suggested Citation

  • Ondeck, Abigail & Edgar, Thomas F. & Baldea, Michael, 2017. "A multi-scale framework for simultaneous optimization of the design and operating strategy of residential CHP systems," Applied Energy, Elsevier, vol. 205(C), pages 1495-1511.
    • Handle: RePEc:eee:appene:v:205:y:2017:i:c:p:1495-1511
    DOI: 10.1016/j.apenergy.2017.08.082
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917311005
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2017.08.082?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. Martelli, Emanuele & Capra, Federico & Consonni, Stefano, 2015. "Numerical optimization of Combined Heat and Power Organic Rankine Cycles – Part A: Design optimization," Energy, Elsevier, vol. 90(P1), pages 310-328.
    2. Nikolaos Diangelakis & Christos Panos & Efstratios Pistikopoulos, 2014. "Design optimization of an internal combustion engine powered CHP system for residential scale application," Computational Management Science, Springer, vol. 11(3), pages 237-266, July.
    3. ., 2016. "Electric energy utilities," Chapters, in: Public Utilities, Second Edition, chapter 4, pages 69-88, Edward Elgar Publishing.
    4. Wakui, Tetsuya & Kawayoshi, Hiroki & Yokoyama, Ryohei, 2016. "Optimal structural design of residential power and heat supply devices in consideration of operational and capital recovery constraints," Applied Energy, Elsevier, vol. 163(C), pages 118-133.
    5. 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.
    6. Cardona, E. & Piacentino, A., 2006. "A new approach to exergoeconomic analysis and design of variable demand energy systems," Energy, Elsevier, vol. 31(4), pages 490-515.
    7. Oh, Si-Doek & Lee, Ho-Jun & Jung, Jung-Yeul & Kwak, Ho-Young, 2007. "Optimal planning and economic evaluation of cogeneration system," Energy, Elsevier, vol. 32(5), pages 760-771.
    8. Lozano, Miguel A. & Ramos, Jose C. & Serra, Luis M., 2010. "Cost optimization of the design of CHCP (combined heat, cooling and power) systems under legal constraints," Energy, Elsevier, vol. 35(2), pages 794-805.
    9. Capra, Federico & Martelli, Emanuele, 2015. "Numerical optimization of combined heat and power Organic Rankine Cycles – Part B: Simultaneous design & part-load optimization," Energy, Elsevier, vol. 90(P1), pages 329-343.
    10. Ondeck, Abigail D. & Edgar, Thomas F. & Baldea, Michael, 2015. "Optimal operation of a residential district-level combined photovoltaic/natural gas power and cooling system," Applied Energy, Elsevier, vol. 156(C), pages 593-606.
    11. Mihai Burcea & Wing-Kai Hon & Hsiang-Hsuan Liu & Prudence W. H. Wong & David K. Y. Yau, 2016. "Scheduling for electricity cost in a smart grid," Journal of Scheduling, Springer, vol. 19(6), pages 687-699, December.
    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. Lu, Qing & Lü, Shuaikang & Leng, Yajun & Zhang, Zhixin, 2020. "Optimal household energy management based on smart residential energy hub considering uncertain behaviors," Energy, Elsevier, vol. 195(C).
    2. Wu, Danman & Bai, Jiayu & Wei, Wei & Chen, Laijun & Mei, Shengwei, 2021. "Optimal bidding and scheduling of AA-CAES based energy hub considering cascaded consumption of heat," Energy, Elsevier, vol. 233(C).
    3. Pina, Eduardo A. & Lozano, Miguel A. & Ramos, José C. & Serra, Luis M., 2020. "Tackling thermal integration in the synthesis of polygeneration systems for buildings," Applied Energy, Elsevier, vol. 269(C).
    4. Groissböck, Markus, 2019. "Are open source energy system optimization tools mature enough for serious use?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 234-248.
    5. Aikaterini Papadimitriou & Anastasios Tosios & Eugenia Giannini, 2021. "Techno-Economic Performance Assessment of a Trigeneration System Operating in a Hospital," Energies, MDPI, vol. 14(16), pages 1-21, August.
    6. Ondeck, Abigail D. & Edgar, Thomas F. & Baldea, Michael, 2018. "Impact of rooftop photovoltaics and centralized energy storage on the design and operation of a residential CHP system," Applied Energy, Elsevier, vol. 222(C), pages 280-299.
    7. Wakui, Tetsuya & Hashiguchi, Moe & Sawada, Kento & Yokoyama, Ryohei, 2019. "Two-stage design optimization based on artificial immune system and mixed-integer linear programming for energy supply networks," Energy, Elsevier, vol. 170(C), pages 1228-1248.
    8. Qin, Chun & Wang, Linqing & Han, Zhongyang & Zhao, Jun & Liu, Quanli, 2021. "Weighted directed graph based matrix modeling of integrated energy systems," Energy, Elsevier, vol. 214(C).
    9. Cheng, Pengfei & Thierry, David M. & Hendrix, Howard & Dombrowski, Katherine D. & Sachde, Darshan J. & Realff, Matthew J. & Scott, Joseph K., 2023. "Modeling and optimization of carbon-negative NGCC plant enabled by modular direct air capture," Applied Energy, Elsevier, vol. 341(C).
    10. Darzi, Mahdi & Johnson, Derek & Ulishney, Chris & Clark, Nigel, 2018. "Low pressure direct injection strategies effect on a small SI natural gas two-stroke engine’s energy distribution and emissions," Applied Energy, Elsevier, vol. 230(C), pages 1585-1602.
    11. Chugh, Devesh & Gluesenkamp, Kyle R. & Abu-Heiba, Ahmad & Alipanah, Morteza & Fazeli, Abdy & Rode, Richard & Schmid, Michael & Patel, Viral K. & Moghaddam, Saeed, 2019. "Experimental evaluation of a semi-open membrane-based absorption heat pump system utilizing ionic liquids," Applied Energy, Elsevier, vol. 239(C), pages 919-927.
    12. Wu, Di & Han, Zhonghe & Liu, Zhijian & Li, Peng & Ma, Fanfan & Zhang, Han & Yin, Yunxing & Yang, Xinyan, 2021. "Comparative study of optimization method and optimal operation strategy for multi-scenario integrated energy system," Energy, Elsevier, vol. 217(C).
    13. Sakalis, George N. & Frangopoulos, Christos A., 2018. "Intertemporal optimization of synthesis, design and operation of integrated energy systems of ships: General method and application on a system with Diesel main engines," Applied Energy, Elsevier, vol. 226(C), pages 991-1008.

    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. Pérez-Iribarren, E. & González-Pino, I. & Azkorra-Larrinaga, Z. & Gómez-Arriarán, I., 2020. "Optimal design and operation of thermal energy storage systems in micro-cogeneration plants," Applied Energy, Elsevier, vol. 265(C).
    2. Pili, Roberto & Romagnoli, Alessandro & Jiménez-Arreola, Manuel & Spliethoff, Hartmut & Wieland, Christoph, 2019. "Simulation of Organic Rankine Cycle – Quasi-steady state vs dynamic approach for optimal economic performance," Energy, Elsevier, vol. 167(C), pages 619-640.
    3. Martelli, Emanuele & Freschini, Marco & Zatti, Matteo, 2020. "Optimization of renewable energy subsidy and carbon tax for multi energy systems using bilevel programming," Applied Energy, Elsevier, vol. 267(C).
    4. Guozheng Li & Rui Wang & Tao Zhang & Mengjun Ming, 2018. "Multi-Objective Optimal Design of Renewable Energy Integrated CCHP System Using PICEA-g," Energies, MDPI, vol. 11(4), pages 1-26, March.
    5. Pina, Eduardo A. & Lozano, Miguel A. & Serra, Luis M., 2018. "Thermoeconomic cost allocation in simple trigeneration systems including thermal energy storage," Energy, Elsevier, vol. 153(C), pages 170-184.
    6. Świerzewski, Mateusz & Kalina, Jacek, 2020. "Optimisation of biomass-fired cogeneration plants using ORC technology," Renewable Energy, Elsevier, vol. 159(C), pages 195-214.
    7. Sakalis, George N. & Frangopoulos, Christos A., 2018. "Intertemporal optimization of synthesis, design and operation of integrated energy systems of ships: General method and application on a system with Diesel main engines," Applied Energy, Elsevier, vol. 226(C), pages 991-1008.
    8. Hagen, Brede A.L. & Agromayor, Roberto & Nekså, Petter, 2021. "Equation-oriented methods for design optimization and performance analysis of radial inflow turbines," Energy, Elsevier, vol. 237(C).
    9. Hoffmann, Maximilian & Priesmann, Jan & Nolting, Lars & Praktiknjo, Aaron & Kotzur, Leander & Stolten, Detlef, 2021. "Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models," Applied Energy, Elsevier, vol. 304(C).
    10. Loeb, Benjamin & Kockelman, Kara M., 2019. "Fleet performance and cost evaluation of a shared autonomous electric vehicle (SAEV) fleet: A case study for Austin, Texas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 374-385.
    11. Maximilian Hoffmann & Leander Kotzur & Detlef Stolten & Martin Robinius, 2020. "A Review on Time Series Aggregation Methods for Energy System Models," Energies, MDPI, vol. 13(3), pages 1-61, February.
    12. Yang, Yun & Zhang, Shijie & Xiao, Yunhan, 2015. "An MILP (mixed integer linear programming) model for optimal design of district-scale distributed energy resource systems," Energy, Elsevier, vol. 90(P2), pages 1901-1915.
    13. Marty, Fabien & Serra, Sylvain & Sochard, Sabine & Reneaume, Jean-Michel, 2018. "Simultaneous optimization of the district heating network topology and the Organic Rankine Cycle sizing of a geothermal plant," Energy, Elsevier, vol. 159(C), pages 1060-1074.
    14. Li, Ligeng & Tian, Hua & Shi, Lingfeng & Zhang, Yonghao & Shu, Gequn, 2022. "Reducing the operational fluctuation via splitting CO2 transcritical power cycle in engine waste heat recovery," Energy, Elsevier, vol. 252(C).
    15. Tran, Thomas T.D. & Smith, Amanda D., 2017. "fEvaluation of renewable energy technologies and their potential for technical integration and cost-effective use within the U.S. energy sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1372-1388.
    16. Serafino, Aldo & Obert, Benoit & Vergé, Léa & Cinnella, Paola, 2020. "Robust optimization of an organic Rankine cycle for geothermal application," Renewable Energy, Elsevier, vol. 161(C), pages 1120-1129.
    17. Ge, Y.T. & Li, L. & Luo, X. & Tassou, S.A., 2018. "Performance evaluation of a low-grade power generation system with CO2 transcritical power cycles," Applied Energy, Elsevier, vol. 227(C), pages 220-230.
    18. Astolfi, M. & La Diega, L. Noto & Romano, M.C. & Merlo, U. & Filippini, S. & Macchi, E., 2020. "Techno-economic optimization of a geothermal ORC with novel “Emeritus” heat rejection units in hot climates," Renewable Energy, Elsevier, vol. 147(P3), pages 2810-2821.
    19. Schütz, Thomas & Schraven, Markus Hans & Fuchs, Marcus & Remmen, Peter & Müller, Dirk, 2018. "Comparison of clustering algorithms for the selection of typical demand days for energy system synthesis," Renewable Energy, Elsevier, vol. 129(PA), pages 570-582.
    20. Youcef Redjeb & Khatima Kaabeche-Djerafi & Anna Stoppato & Alberto Benato, 2021. "The IRC-PD Tool: A Code to Design Steam and Organic Waste Heat Recovery Units," Energies, MDPI, vol. 14(18), pages 1-37, September.

    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:205:y:2017:i:c:p:1495-1511. 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.