IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v104y2013icp711-722.html
   My bibliography  Save this article

Electric storage in California’s commercial buildings

Author

Listed:
  • Stadler, M.
  • Kloess, M.
  • Groissböck, M.
  • Cardoso, G.
  • Sharma, R.
  • Bozchalui, M.C.
  • Marnay, C.

Abstract

Most recent improvements in battery and electric vehicle (EV) technologies, combined with some favorable off-peak charging rates and an enormous PV potential, make California a prime market for electric vehicle as well as stationary storage adoption. However, EVs or plug-in hybrids, which can be seen as a mobile energy storage, connected to different buildings throughout the day, constitute distributed energy resources (DER) markets and can compete with stationary storage, onsite energy production (e.g. fuel cells, PV) at different building sites. Sometimes mobile storage is seen linked to renewable energy generation (e.g. PV) or as resource for the wider macro-grid by providing ancillary services for grid-stabilization. In contrast, this work takes a fundamentally different approach and considers buildings as the main hub for EVs/plug-in hybrids and considers them as additional resources for a building energy management system (EMS) to enable demand response or any other building strategy (e.g. carbon dioxide reduction). To examine the effect of, especially, electric storage technologies on building energy costs and carbon dioxide (CO2) emissions, a distributed-energy resources adoption problem is formulated as a mixed-integer linear program with minimization of annual building energy costs or CO2 emissions. The mixed-integer linear program is applied to a set of 139 different commercial building types in California, and the aggregated economic and environmental benefits are reported. To show the robustness of the results, different scenarios for battery performance parameters are analyzed. The results show that the number of EVs connected to the California commercial buildings depend mostly on the optimization strategy (cost versus CO2) of the building EMS and not on the battery performance parameters. The complexity of the DER interactions at buildings also show that a reduction in stationary battery costs increases the local PV adoption, but can also increase the fossil based onsite electricity generation, making an holistic optimization approach necessary for this kind of analyses.

Suggested Citation

  • Stadler, M. & Kloess, M. & Groissböck, M. & Cardoso, G. & Sharma, R. & Bozchalui, M.C. & Marnay, C., 2013. "Electric storage in California’s commercial buildings," Applied Energy, Elsevier, vol. 104(C), pages 711-722.
  • Handle: RePEc:eee:appene:v:104:y:2013:i:c:p:711-722
    DOI: 10.1016/j.apenergy.2012.11.033
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261912008264
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2012.11.033?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. Toledo, Olga Moraes & Oliveira Filho, Delly & Diniz, Antônia Sônia Alves Cardoso, 2010. "Distributed photovoltaic generation and energy storage systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 506-511, January.
    Full references (including those not matched with items on IDEAS)

    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. Guandalini, Giulio & Campanari, Stefano & Romano, Matteo C., 2015. "Power-to-gas plants and gas turbines for improved wind energy dispatchability: Energy and economic assessment," Applied Energy, Elsevier, vol. 147(C), pages 117-130.
    2. Moroni, Stefano & Antoniucci, Valentina & Bisello, Adriano, 2016. "Energy sprawl, land taking and distributed generation: towards a multi-layered density," Energy Policy, Elsevier, vol. 98(C), pages 266-273.
    3. Ma, Chao & Liu, Zhao, 2022. "Water-surface photovoltaics: Performance, utilization, and interactions with water eco-environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    4. Chen, Yen-Haw & Lu, Su-Ying & Chang, Yung-Ruei & Lee, Ta-Tung & Hu, Ming-Che, 2013. "Economic analysis and optimal energy management models for microgrid systems: A case study in Taiwan," Applied Energy, Elsevier, vol. 103(C), pages 145-154.
    5. Keon Baek & Woong Ko & Jinho Kim, 2019. "Optimal Scheduling of Distributed Energy Resources in Residential Building under the Demand Response Commitment Contract," Energies, MDPI, vol. 12(14), pages 1-19, July.
    6. Solomon, A.A. & Faiman, D. & Meron, G., 2012. "Appropriate storage for high-penetration grid-connected photovoltaic plants," Energy Policy, Elsevier, vol. 40(C), pages 335-344.
    7. Bracco, Stefano & Delfino, Federico & Pampararo, Fabio & Robba, Michela & Rossi, Mansueto, 2013. "The University of Genoa smart polygeneration microgrid test-bed facility: The overall system, the technologies and the research challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 442-459.
    8. Telaretti, E. & Dusonchet, L., 2017. "Stationary battery technologies in the U.S.: Development Trends and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 380-392.
    9. Paschmann, Martin, 2017. "Leveraging the Benefits of Integrating and Interacting Electric Vehicles and Distributed Energy Resources," EWI Working Papers 2017-11, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    10. Li, Sihui & Peng, Jinqing & Zou, Bin & Li, Bojia & Lu, Chujie & Cao, Jingyu & Luo, Yimo & Ma, Tao, 2021. "Zero energy potential of photovoltaic direct-driven air conditioners with considering the load flexibility of air conditioners," Applied Energy, Elsevier, vol. 304(C).
    11. Furuoka, Fumitaka, 2017. "Renewable electricity consumption and economic development: New findings from the Baltic countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 450-463.
    12. McManus, M.C., 2012. "Environmental consequences of the use of batteries in low carbon systems: The impact of battery production," Applied Energy, Elsevier, vol. 93(C), pages 288-295.
    13. Wu, Qiyan & Zhang, Xiaoling & Sun, Jingwei & Ma, Zhifei & Zhou, Chen, 2016. "Locked post-fossil consumption of urban decentralized solar photovoltaic energy: A case study of an on-grid photovoltaic power supply community in Nanjing, China," Applied Energy, Elsevier, vol. 172(C), pages 1-11.
    14. Yuqing Yang & Stephen Bremner & Chris Menictas & Merlinde Kay, 2019. "A Mixed Receding Horizon Control Strategy for Battery Energy Storage System Scheduling in a Hybrid PV and Wind Power Plant with Different Forecast Techniques," Energies, MDPI, vol. 12(12), pages 1-25, June.
    15. Malhotra, Abhishek & Battke, Benedikt & Beuse, Martin & Stephan, Annegret & Schmidt, Tobias, 2016. "Use cases for stationary battery technologies: A review of the literature and existing projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 705-721.
    16. Citlaly Pérez & Pedro Ponce & Alan Meier & Lourdes Dorantes & Jorge Omar Sandoval & Javier Palma & Arturo Molina, 2022. "S4 Framework for the Integration of Solar Energy Systems in Small and Medium-Sized Manufacturing Companies in Mexico," Energies, MDPI, vol. 15(19), pages 1-28, September.
    17. Xue, Xue & Wang, Shengwei & Sun, Yongjun & Xiao, Fu, 2014. "An interactive building power demand management strategy for facilitating smart grid optimization," Applied Energy, Elsevier, vol. 116(C), pages 297-310.
    18. Battke, Benedikt & Schmidt, Tobias S. & Grosspietsch, David & Hoffmann, Volker H., 2013. "A review and probabilistic model of lifecycle costs of stationary batteries in multiple applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 240-250.
    19. Yang, Yuqing & Bremner, Stephen & Menictas, Chris & Kay, Merlinde, 2022. "Modelling and optimal energy management for battery energy storage systems in renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    20. Daniel Efurosibina Attoye & Timothy O. Adekunle & Kheira Anissa Tabet Aoul & Ahmed Hassan & Samuel Osekafore Attoye, 2018. "A Conceptual Framework for a Building Integrated Photovoltaics (BIPV) Educative-Communication Approach," Sustainability, MDPI, vol. 10(10), pages 1-21, October.

    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:104:y:2013:i:c:p:711-722. 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.