IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v210y2018icp1167-1187.html
   My bibliography  Save this article

A simulation-based efficiency comparison of AC and DC power distribution networks in commercial buildings

Author

Listed:
  • Gerber, Daniel L.
  • Vossos, Vagelis
  • Feng, Wei
  • Marnay, Chris
  • Nordman, Bruce
  • Brown, Richard

Abstract

Direct current (DC) power distribution has recently gained traction in buildings research due to the proliferation of on-site electricity generation and battery storage, and an increasing prevalence of internal DC loads. The research discussed in this paper uses Modelica-based simulation to compare the efficiency of DC building power distribution with an equivalent alternating current (AC) distribution. The buildings are all modeled with solar generation, battery storage, and loads that are representative of the most efficient building technology. A variety of parametric simulations determine how and when DC distribution proves advantageous. These simulations also validate previous studies that use simpler approaches and arithmetic efficiency models.

Suggested Citation

  • Gerber, Daniel L. & Vossos, Vagelis & Feng, Wei & Marnay, Chris & Nordman, Bruce & Brown, Richard, 2018. "A simulation-based efficiency comparison of AC and DC power distribution networks in commercial buildings," Applied Energy, Elsevier, vol. 210(C), pages 1167-1187.
  • Handle: RePEc:eee:appene:v:210:y:2018:i:c:p:1167-1187
    DOI: 10.1016/j.apenergy.2017.05.179
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917307419
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2017.05.179?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. Shen, W.X., 2009. "Optimally sizing of solar array and battery in a standalone photovoltaic system in Malaysia," Renewable Energy, Elsevier, vol. 34(1), pages 348-352.
    2. Thomas, Brinda A. & Azevedo, Inês L. & Morgan, Granger, 2012. "Edison Revisited: Should we use DC circuits for lighting in commercial buildings?," Energy Policy, Elsevier, vol. 45(C), pages 399-411.
    3. 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.
    4. Robert L. Fares & Michael E. Webber, 2017. "The impacts of storing solar energy in the home to reduce reliance on the utility," Nature Energy, Nature, vol. 2(2), pages 1-10, February.
    5. Jin, Ming & Feng, Wei & Liu, Ping & Marnay, Chris & Spanos, Costas, 2017. "MOD-DR: Microgrid optimal dispatch with demand response," Applied Energy, Elsevier, vol. 187(C), pages 758-776.
    6. Glasgo, Brock & Azevedo, Inês Lima & Hendrickson, Chris, 2016. "How much electricity can we save by using direct current circuits in homes? Understanding the potential for electricity savings and assessing feasibility of a transition towards DC powered buildings," Applied Energy, Elsevier, vol. 180(C), pages 66-75.
    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. Spiliotis, Konstantinos & Gonçalves, Juliana E. & Saelens, Dirk & Baert, Kris & Driesen, Johan, 2020. "Electrical system architectures for building-integrated photovoltaics: A comparative analysis using a modelling framework in Modelica," Applied Energy, Elsevier, vol. 261(C).
    2. Dutton, Spencer & Marnay, Chris & Feng, Wei & Robinson, Matthew & Mammoli, Andrea, 2019. "Moore vs. Murphy: Tradeoffs between complexity and reliability in distributed energy system scheduling using software-as-a-service," Applied Energy, Elsevier, vol. 238(C), pages 1126-1137.
    3. Gerber, Daniel L. & Liou, Richard & Brown, Richard, 2019. "Energy-saving opportunities of direct-DC loads in buildings," Applied Energy, Elsevier, vol. 248(C), pages 274-287.
    4. Avpreet Othee & James Cale & Arthur Santos & Stephen Frank & Daniel Zimmerle & Omkar Ghatpande & Gerald Duggan & Daniel Gerber, 2023. "A Modeling Toolkit for Comparing AC and DC Electrical Distribution Efficiency in Buildings," Energies, MDPI, vol. 16(7), pages 1-46, March.
    5. Patrik Ollas & Torbjörn Thiringer & Mattias Persson & Caroline Markusson, 2023. "Energy Loss Savings Using Direct Current Distribution in a Residential Building with Solar Photovoltaic and Battery Storage," Energies, MDPI, vol. 16(3), pages 1-21, January.
    6. Castillo-Calzadilla, T. & Cuesta, M.A. & Olivares-Rodriguez, C. & Macarulla, A.M. & Legarda, J. & Borges, C.E., 2022. "Is it feasible a massive deployment of low voltage direct current microgrids renewable-based? A technical and social sight," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    7. Vossos, Vagelis & Gerber, Daniel & Bennani, Youness & Brown, Richard & Marnay, Chris, 2018. "Techno-economic analysis of DC power distribution in commercial buildings," Applied Energy, Elsevier, vol. 230(C), pages 663-678.
    8. Cui, Shiting & Zhu, Ruijin & Wu, Jun, 2024. "A double layer energy cooperation framework for prosumer groups in high altitude areas," Renewable Energy, Elsevier, vol. 224(C).
    9. Brown, David P. & Muehlenbachs, Lucija, 2023. "The Value of Electricity Reliability: Evidence from Battery Adoption," Working Papers 2023-5, University of Alberta, Department of Economics, revised 26 Jul 2024.
    10. Yang, Linfeng & Li, Wei & Xu, Yan & Zhang, Cuo & Chen, Shifei, 2021. "Two novel locally ideal three-period unit commitment formulations in power systems," Applied Energy, Elsevier, vol. 284(C).
    11. Deetjen, Thomas A. & Vitter, J. Scott & Reimers, Andrew S. & Webber, Michael E., 2018. "Optimal dispatch and equipment sizing of a residential central utility plant for improving rooftop solar integration," Energy, Elsevier, vol. 147(C), pages 1044-1059.
    12. Hartmann, Bálint & Divényi, Dániel & Vokony, István, 2018. "Evaluation of business possibilities of energy storage at commercial and industrial consumers – A case study," Applied Energy, Elsevier, vol. 222(C), pages 59-66.
    13. Laws, Nicholas D. & Anderson, Kate & DiOrio, Nicholas A. & Li, Xiangkun & McLaren, Joyce, 2018. "Impacts of valuing resilience on cost-optimal PV and storage systems for commercial buildings," Renewable Energy, Elsevier, vol. 127(C), pages 896-909.
    14. Maheri, Alireza, 2014. "Multi-objective design optimisation of standalone hybrid wind-PV-diesel systems under uncertainties," Renewable Energy, Elsevier, vol. 66(C), pages 650-661.
    15. Rawat, Rahul & Kaushik, S.C. & Lamba, Ravita, 2016. "A review on modeling, design methodology and size optimization of photovoltaic based water pumping, standalone and grid connected system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1506-1519.
    16. Zhou, Hou Sheng & Passey, Rob & Bruce, Anna & Sproul, Alistair B., 2021. "A case study on the behaviour of residential battery energy storage systems during network demand peaks," Renewable Energy, Elsevier, vol. 180(C), pages 712-724.
    17. Kuang, Yanqing & Chen, Yang & Hu, Mengqi & Yang, Dong, 2017. "Influence analysis of driver behavior and building category on economic performance of electric vehicle to grid and building integration," Applied Energy, Elsevier, vol. 207(C), pages 427-437.
    18. James Allen & Ari Halberstadt & John Powers & Nael H. El-Farra, 2020. "An Optimization-Based Supervisory Control and Coordination Approach for Solar-Load Balancing in Building Energy Management," Mathematics, MDPI, vol. 8(8), pages 1-28, July.
    19. Golpîra, Hêriş, 2020. "Smart Energy-Aware Manufacturing Plant Scheduling under Uncertainty: A Risk-Based Multi-Objective Robust Optimization Approach," Energy, Elsevier, vol. 209(C).
    20. Mulleriyawage, U.G.K. & Shen, W.X., 2021. "Impact of demand side management on optimal sizing of residential battery energy storage system," Renewable Energy, Elsevier, vol. 172(C), pages 1250-1266.

    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:210:y:2018:i:c:p:1167-1187. 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.