IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v247y2019icp549-558.html
   My bibliography  Save this article

Optimal use of electric energy oriented water-electricity combined supply system for the building-integrated-photovoltaics community

Author

Listed:
  • Sui, Quan
  • Wei, Fanrong
  • Zhang, Rui
  • Lin, Xiangning
  • Tong, Ning
  • Wang, Zhixun
  • Li, Zhengtian

Abstract

As a new application form of sustainable energy generation, building-integrated photovoltaics provide great flexibility for energy conservation and emission reduction. However, due to the randomness and volatility from photovoltaic generation, the full exploitation of the advantages of building-integrated photovoltaics has become an important question for the utilities. To address this issue, this paper proposes a novel and comprehensive (combined) water-energy supply system applied to the smart community with building-integrated photovoltaics and two-stage electric-hydraulic dispatching method. It was designed to minimize the electricity consumption cost and power fluctuation while meeting the water demand loads, followed by the iterative algorithm as well as linearized techniques to solve the optimisation model. The Shapley value method was introduced to ensure the fair revenue between the property company and owners. Simulation studies on a building-integrated-photovoltaics community and a 15-node water distribution system indicates that the annual operation cost of the water-electricity combined supply system was reduced by 29.6% while the external grid obtained a better prediction regarding the real-time exchange power. The results confirm the effectiveness of the proposed model on peak shaving and valley filling and fluctuation smoothing.

Suggested Citation

  • Sui, Quan & Wei, Fanrong & Zhang, Rui & Lin, Xiangning & Tong, Ning & Wang, Zhixun & Li, Zhengtian, 2019. "Optimal use of electric energy oriented water-electricity combined supply system for the building-integrated-photovoltaics community," Applied Energy, Elsevier, vol. 247(C), pages 549-558.
    • Handle: RePEc:eee:appene:v:247:y:2019:i:c:p:549-558
    DOI: 10.1016/j.apenergy.2019.04.059
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919307056
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2019.04.059?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. Kaldellis, J.K. & Meidanis, E. & Zafirakis, D., 2011. "Experimental energy analysis of a stand-alone photovoltaic-based water pumping installation," Applied Energy, Elsevier, vol. 88(12), pages 4556-4562.
    2. Wanjiru, Evan M. & Zhang, Lijun & Xia, Xiaohua, 2016. "Model predictive control strategy of energy-water management in urban households," Applied Energy, Elsevier, vol. 179(C), pages 821-831.
    3. Ruben Menke & Edo Abraham & Panos Parpas & Ivan Stoianov, 2016. "Exploring Optimal Pump Scheduling in Water Distribution Networks with Branch and Bound Methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5333-5349, November.
    4. Kuboth, Sebastian & Heberle, Florian & König-Haagen, Andreas & Brüggemann, Dieter, 2019. "Economic model predictive control of combined thermal and electric residential building energy systems," Applied Energy, Elsevier, vol. 240(C), pages 372-385.
    5. Bianchini, Gianni & Casini, Marco & Pepe, Daniele & Vicino, Antonio & Zanvettor, Giovanni Gino, 2019. "An integrated model predictive control approach for optimal HVAC and energy storage operation in large-scale buildings," Applied Energy, Elsevier, vol. 240(C), pages 327-340.
    6. Zhuan, Xiangtao & Xia, Xiaohua, 2013. "Optimal operation scheduling of a pumping station with multiple pumps," Applied Energy, Elsevier, vol. 104(C), pages 250-257.
    7. Lubega, William N. & Farid, Amro M., 2014. "Quantitative engineering systems modeling and analysis of the energy–water nexus," Applied Energy, Elsevier, vol. 135(C), pages 142-157.
    8. Hu, Maomao & Xiao, Fu & Wang, Lingshi, 2017. "Investigation of demand response potentials of residential air conditioners in smart grids using grey-box room thermal model," Applied Energy, Elsevier, vol. 207(C), pages 324-335.
    9. Wanjiru, Evan M. & Xia, Xiaohua, 2015. "Energy-water optimization model incorporating rooftop water harvesting for lawn irrigation," Applied Energy, Elsevier, vol. 160(C), pages 521-531.
    10. Gao, Dian-ce & Wang, Shengwei & Shan, Kui, 2016. "In-situ implementation and evaluation of an online robust pump speed control strategy for avoiding low delta-T syndrome in complex chilled water systems of high-rise buildings," Applied Energy, Elsevier, vol. 171(C), pages 541-554.
    11. Numbi, B.P. & Malinga, S.J., 2017. "Optimal energy cost and economic analysis of a residential grid-interactive solar PV system- case of eThekwini municipality in South Africa," Applied Energy, Elsevier, vol. 186(P1), pages 28-45.
    12. Zhang, Yue-Jun & Wang, Ao-Dong & Da, Ya-Bin, 2014. "Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method," Energy Policy, Elsevier, vol. 74(C), pages 454-464.
    13. Santhosh, Apoorva & Farid, Amro M. & Youcef-Toumi, Kamal, 2014. "Real-time economic dispatch for the supply side of the energy-water nexus," Applied Energy, Elsevier, vol. 122(C), pages 42-52.
    14. Luthander, Rasmus & Widén, Joakim & Nilsson, Daniel & Palm, Jenny, 2015. "Photovoltaic self-consumption in buildings: A review," Applied Energy, Elsevier, vol. 142(C), pages 80-94.
    15. Chen, Shaoqing & Chen, Bin, 2016. "Urban energy–water nexus: A network perspective," Applied Energy, Elsevier, vol. 184(C), pages 905-914.
    16. Menke, Ruben & Abraham, Edo & Parpas, Panos & Stoianov, Ivan, 2016. "Demonstrating demand response from water distribution system through pump scheduling," Applied Energy, Elsevier, vol. 170(C), pages 377-387.
    17. Cheung, C.T. & Mui, K.W. & Wong, L.T., 2013. "Energy efficiency of elevated water supply tanks for high-rise buildings," Applied Energy, Elsevier, vol. 103(C), pages 685-691.
    18. Liu, Hui & Huang, Kai & Wang, Ni & Qi, Junjian & Wu, Qiuwei & Ma, Shicong & Li, Canbing, 2019. "Optimal dispatch for participation of electric vehicles in frequency regulation based on area control error and area regulation requirement," Applied Energy, Elsevier, vol. 240(C), pages 46-55.
    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. de Oliveira, Glauber Cardoso & Bertone, Edoardo & Stewart, Rodney A., 2022. "Optimisation modelling tools and solving techniques for integrated precinct-scale energy–water system planning," Applied Energy, Elsevier, vol. 318(C).
    2. Xinxin Liu & Xiaosheng Wang & Haiying Guo & Xiaojie An, 2021. "Benefit Allocation in Shared Water-Saving Management Contract Projects Based on Modified Expected Shapley Value," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 39-62, January.
    3. de Oliveira, Glauber Cardoso & Bertone, Edoardo & Stewart, Rodney A., 2022. "Challenges, opportunities, and strategies for undertaking integrated precinct-scale energy–water system planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    4. Sun, Mingyi & Zhao, Xia & Tan, Hong & Li, Xinyi, 2022. "Coordinated operation of the integrated electricity-water distribution system and water-cooled 5G base stations," Energy, Elsevier, vol. 238(PC).
    5. Ju, Liwei & Yin, Zhe & Zhou, Qingqing & Li, Qiaochu & Wang, Peng & Tian, Wenxu & Li, Peng & Tan, Zhongfu, 2022. "Nearly-zero carbon optimal operation model and benefit allocation strategy for a novel virtual power plant using carbon capture, power-to-gas, and waste incineration power in rural areas," Applied Energy, Elsevier, vol. 310(C).
    6. Zhang, Junxia & Li, Xingmei & Jia, Dongqing & Zhou, Yuexin, 2023. "A Bi-level programming for union battery swapping stations location-routing problem under joint distribution and cost allocation," Energy, Elsevier, vol. 272(C).

    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. Wanjiru, Evan M. & Sichilalu, Sam M. & Xia, Xiaohua, 2017. "Model predictive control of heat pump water heater-instantaneous shower powered with integrated renewable-grid energy systems," Applied Energy, Elsevier, vol. 204(C), pages 1333-1346.
    2. Kagiri, Charles & Wanjiru, Evan M. & Zhang, Lijun & Xia, Xiaohua, 2018. "Optimized response to electricity time-of-use tariff of a compressed natural gas fuelling station," Applied Energy, Elsevier, vol. 222(C), pages 244-256.
    3. Filipe, Jorge & Bessa, Ricardo J. & Reis, Marisa & Alves, Rita & Póvoa, Pedro, 2019. "Data-driven predictive energy optimization in a wastewater pumping station," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    4. Zhang, Xiaohong & Qi, Yan & Wang, Yanqing & Wu, Jun & Lin, Lili & Peng, Hong & Qi, Hui & Yu, Xiaoyu & Zhang, Yanzong, 2016. "Effect of the tap water supply system on China's economy and energy consumption, and its emissions’ impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 660-671.
    5. Kirchem, Dana & Lynch, Muireann Á & Casey, Eoin & Bertsch, Valentin, 2019. "Demand response within the energy-for-water-nexus: A review," Papers WP637, Economic and Social Research Institute (ESRI).
    6. Muhanji, Steffi Olesi & Barrows, Clayton & Macknick, Jordan & Farid, Amro M., 2021. "An enterprise control assessment case study of the energy–water nexus for the ISO New England system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    7. Duan, Cuncun & Chen, Bin, 2017. "Energy–water nexus of international energy trade of China," Applied Energy, Elsevier, vol. 194(C), pages 725-734.
    8. Wang, Wei & Jing, Rui & Zhao, Yingru & Zhang, Chuan & Wang, Xiaonan, 2020. "A load-complementarity combined flexible clustering approach for large-scale urban energy-water nexus optimization," Applied Energy, Elsevier, vol. 270(C).
    9. Wanjiru, Evan M. & Zhang, Lijun & Xia, Xiaohua, 2016. "Model predictive control strategy of energy-water management in urban households," Applied Energy, Elsevier, vol. 179(C), pages 821-831.
    10. de Oliveira, Glauber Cardoso & Bertone, Edoardo & Stewart, Rodney A., 2022. "Challenges, opportunities, and strategies for undertaking integrated precinct-scale energy–water system planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    11. Zhang, Xiaodong & Vesselinov, Velimir V., 2016. "Energy-water nexus: Balancing the tradeoffs between two-level decision makers," Applied Energy, Elsevier, vol. 183(C), pages 77-87.
    12. Tarragona, Joan & Pisello, Anna Laura & Fernández, Cèsar & Cabeza, Luisa F. & Payá, Jorge & Marchante-Avellaneda, Javier & de Gracia, Alvaro, 2022. "Analysis of thermal energy storage tanks and PV panels combinations in different buildings controlled through model predictive control," Energy, Elsevier, vol. 239(PC).
    13. Bieber, Niclas & Ker, Jen Ho & Wang, Xiaonan & Triantafyllidis, Charalampos & van Dam, Koen H. & Koppelaar, Rembrandt H.E.M. & Shah, Nilay, 2018. "Sustainable planning of the energy-water-food nexus using decision making tools," Energy Policy, Elsevier, vol. 113(C), pages 584-607.
    14. Govind Joshi & Salman Mohagheghi, 2021. "Optimal Operation of Combined Energy and Water Systems for Community Resilience against Natural Disasters," Energies, MDPI, vol. 14(19), pages 1-19, September.
    15. Khan, Zarrar & Linares, Pedro & García-González, Javier, 2017. "Integrating water and energy models for policy driven applications. A review of contemporary work and recommendations for future developments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1123-1138.
    16. Milad Afzalan & Farrokh Jazizadeh, 2021. "Quantification of Demand-Supply Balancing Capacity among Prosumers and Consumers: Community Self-Sufficiency Assessment for Energy Trading," Energies, MDPI, vol. 14(14), pages 1-21, July.
    17. Shukhobodskiy, Alexander Alexandrovich & Colantuono, Giuseppe, 2020. "RED WoLF: Combining a battery and thermal energy reservoirs as a hybrid storage system," Applied Energy, Elsevier, vol. 274(C).
    18. Giudici, Federico & Castelletti, Andrea & Garofalo, Elisabetta & Giuliani, Matteo & Maier, Holger R., 2019. "Dynamic, multi-objective optimal design and operation of water-energy systems for small, off-grid islands," Applied Energy, Elsevier, vol. 250(C), pages 605-616.
    19. Wanjiru, Evan M. & Sichilalu, Sam M. & Xia, Xiaohua, 2017. "Optimal control of heat pump water heater-instantaneous shower using integrated renewable-grid energy systems," Applied Energy, Elsevier, vol. 201(C), pages 332-342.
    20. Zahra Fallahi & Gregor P. Henze, 2019. "Interactive Buildings: A Review," Sustainability, MDPI, vol. 11(14), pages 1-26, July.

    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:247:y:2019:i:c:p:549-558. 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.