IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i2p891-d1322940.html
   My bibliography  Save this article

Enhancing Renewable Energy Use in Residential Communities: Analyzing Storage, Trading, and Combinations

Author

Listed:
  • Akhtar Hussain

    (Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada)

  • Hak-Man Kim

    (Department of Electrical Engineering, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Republic of Korea)

Abstract

Renewable energy resources, especially rooftop solar PV, have gained momentum during the past few years. However, the local consumption of PV power is limited due to the negative correlation between peak PV power and residential loads. Therefore, this study analyzes various cases to maximize the consumption of renewables in communities encompassing dwellings both with and without PV installations. The three cases considered in this study are local energy storage, community energy storage, and internal trading. A total of six cases are analyzed by evaluating these cases individually and in combinations. To achieve this, first, a generalized optimization model with specific constraints for each case is developed. Subsequently, different indices are devised to quantitatively measure trading with the grid and the consumption of renewables under varying cases. The performance of these different cases is analyzed for a community comprising five dwellings over a summer week. Furthermore, the performance of each case is evaluated for various seasons throughout the year. Additionally, a sensitivity analysis of different storage capacities (both local and community) is conducted. Simulation results indicate that community storage results in the highest renewable consumption if only one case is considered. However, the overall combination of internal trading and community storage results in the highest cost reduction, lowest dependence on the grid, and the highest consumption of renewables. Finally, a techno-economic analysis is performed on four widely used battery technologies, taking into account diverse cost and technical considerations.

Suggested Citation

  • Akhtar Hussain & Hak-Man Kim, 2024. "Enhancing Renewable Energy Use in Residential Communities: Analyzing Storage, Trading, and Combinations," Sustainability, MDPI, vol. 16(2), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:891-:d:1322940
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/2/891/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/2/891/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zakeri, Behnam & Cross, Samuel & Dodds, Paul.E. & Gissey, Giorgio Castagneto, 2021. "Policy options for enhancing economic profitability of residential solar photovoltaic with battery energy storage," Applied Energy, Elsevier, vol. 290(C).
    2. Liu, Jia & Yang, Hongxing & Zhou, Yuekuan, 2021. "Peer-to-peer energy trading of net-zero energy communities with renewable energy systems integrating hydrogen vehicle storage," Applied Energy, Elsevier, vol. 298(C).
    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. Zhou, Yuekuan & Lund, Peter D., 2023. "Peer-to-peer energy sharing and trading of renewable energy in smart communities ─ trading pricing models, decision-making and agent-based collaboration," Renewable Energy, Elsevier, vol. 207(C), pages 177-193.
    2. Jiao, P.H. & Chen, J.J. & Cai, X. & Wang, L.L. & Zhao, Y.L. & Zhang, X.H. & Chen, W.G., 2021. "Joint active and reactive for allocation of renewable energy and energy storage under uncertain coupling," Applied Energy, Elsevier, vol. 302(C).
    3. Pratik Mochi & Kartik Pandya & Joao Soares & Zita Vale, 2023. "Optimizing Power Exchange Cost Considering Behavioral Intervention in Local Energy Community," Mathematics, MDPI, vol. 11(10), pages 1-15, May.
    4. Fernando Echevarría Camarero & Ana Ogando-Martínez & Pablo Durán Gómez & Pablo Carrasco Ortega, 2022. "Profitability of Batteries in Photovoltaic Systems for Small Industrial Consumers in Spain under Current Regulatory Framework and Energy Prices," Energies, MDPI, vol. 16(1), pages 1-19, December.
    5. Liu, Jia & Yang, Hongxing & Zhou, Yuekuan, 2021. "Peer-to-peer trading optimizations on net-zero energy communities with energy storage of hydrogen and battery vehicles," Applied Energy, Elsevier, vol. 302(C).
    6. Nuno Rego & Rui Castro & Carlos Santos Silva, 2023. "Assessment of Current Smart House Solutions: The Case of Portugal," Energies, MDPI, vol. 16(22), pages 1-23, November.
    7. Luwen Pan & Jiajia Chen, 2024. "Optimal Energy Storage Configuration of Prosumers with Uncertain Photovoltaic in the Presence of Customized Pricing-Based Demand Response," Sustainability, MDPI, vol. 16(6), pages 1-18, March.
    8. Madurai Elavarasan, Rajvikram & Nadarajah, Mithulananthan & Pugazhendhi, Rishi & Sinha, Avik & Gangatharan, Sivasankar & Chiaramonti, David & Abou Houran, Mohamad, 2023. "The untold subtlety of energy consumption and its influence on policy drive towards Sustainable Development Goal 7," Applied Energy, Elsevier, vol. 334(C).
    9. Zhou, Yuekuan, 2024. "AI-driven battery ageing prediction with distributed renewable community and E-mobility energy sharing," Renewable Energy, Elsevier, vol. 225(C).
    10. Mottaghizadeh, Pegah & Jabbari, Faryar & Brouwer, Jack, 2022. "Integrated solid oxide fuel cell, solar PV, and battery storage system to achieve zero net energy residential nanogrid in California," Applied Energy, Elsevier, vol. 323(C).
    11. Zhang, Chao & Ma, Yunfeng & Mi, Zengqiang & Yang, Fan & Zhang, Long, 2024. "A rolling-horizon cleaning recommendation system for dust removal of industrial PV panels," Applied Energy, Elsevier, vol. 353(PB).
    12. Zhou, Yuekuan, 2022. "Energy sharing and trading on a novel spatiotemporal energy network in Guangdong-Hong Kong-Macao Greater Bay Area," Applied Energy, Elsevier, vol. 318(C).
    13. Alexandros Arsalis & George E. Georghiou & Panos Papanastasiou, 2022. "Recent Research Progress in Hybrid Photovoltaic–Regenerative Hydrogen Fuel Cell Microgrid Systems," Energies, MDPI, vol. 15(10), pages 1-24, May.
    14. Tahir, Muhammad Usman & Siraj, Kiran & Ali Shah, Syed Faizan & Arshad, Naveed, 2023. "Evaluation of single-phase net metering to meet renewable energy targets: A case study from Pakistan," Energy Policy, Elsevier, vol. 172(C).
    15. D'Adamo, Idiano & Gastaldi, Massimo & Morone, Piergiuseppe, 2022. "The impact of a subsidized tax deduction on residential solar photovoltaic-battery energy storage systems," Utilities Policy, Elsevier, vol. 75(C).
    16. He, Shuaijia & Gao, Hongjun & Chen, Zhe & Liu, Junyong, 2023. "Data-driven worst conditional value at risk energy management model of energy station," Energy, Elsevier, vol. 266(C).
    17. Quentin Raillard-Cazanove & Edward Barbour, 2022. "Analysis of Smart Meter Electricity Consumption Data for PV Storage in the UK," Energies, MDPI, vol. 15(10), pages 1-15, May.
    18. Zhou, Yuekuan, 2023. "A dynamic self-learning grid-responsive strategy for battery sharing economy—multi-objective optimisation and posteriori multi-criteria decision making," Energy, Elsevier, vol. 266(C).
    19. Chang, Weiguang & Yang, Qiang, 2023. "Low carbon oriented collaborative energy management framework for multi-microgrid aggregated virtual power plant considering electricity trading," Applied Energy, Elsevier, vol. 351(C).
    20. Park, Jung-Sung & Kim, Seung Wan & Lee, Ji Woo, 2024. "P2P credit auction vs. net metering: Benefit analysis for prosumers under incremental block rate electricity tariff," Applied Energy, Elsevier, vol. 364(C).

    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:gam:jsusta:v:16:y:2024:i:2:p:891-:d:1322940. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.