IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i12p2977-d1416302.html
   My bibliography  Save this article

Heat Pumps with Smart Control in Managing Australian Residential Electrical Load during Transition to Net Zero Emissions

Author

Listed:
  • Adrian Rapucha

    (School of Engineering and Technology, Central Queensland University, Sydney, NSW 2000, Australia)

  • Ramadas Narayanan

    (School of Engineering and Technology, Central Queensland University, University Drive, Bundaberg, QLD 4670, Australia)

  • Meena Jha

    (School of Engineering and Technology, Central Queensland University, Sydney, NSW 2000, Australia)

Abstract

Australia, like many other countries around the world, is undergoing a transition toward net zero emissions. It requires changes and development in many sectors, which not only bring benefits but also challenges. The rapid growth in renewable energy sources (RESs) is necessary to decarbonise electricity generation but negatively affects grid stability. Residential buildings also contribute to this issue through specific load profiles and the high penetration of rooftop photovoltaic (PV) installations. Maintaining grid balance will be crucial for further emissions reductions. One of the potential solutions can be the replacement of conventional heating and cooling systems in houses with solutions capable of storing energy and shifting the electrical load. As presented in this paper, heat pumps and hydronic systems can significantly improve the electrical load of a typical South Australian household when they are controlled by algorithms reacting to the current grid conditions and household-generated electricity compared to conventional solutions. TRNSYS 18 simulations of air source and ground source heat pump systems with smart control based on measured electricity consumption and domestic hot water usage data showed the possibility of total energy consumption reduction, shifting the load from peak periods towards periods of excessive RES generation and increasing self-consumption of rooftop PV electricity. These improvements reduce the amount of emissions generated by such a household and allow for further development of other sectors.

Suggested Citation

  • Adrian Rapucha & Ramadas Narayanan & Meena Jha, 2024. "Heat Pumps with Smart Control in Managing Australian Residential Electrical Load during Transition to Net Zero Emissions," Energies, MDPI, vol. 17(12), pages 1-18, June.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:12:p:2977-:d:1416302
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/12/2977/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/12/2977/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Le, Khoa Xuan & Huang, Ming Jun & Wilson, Christopher & Shah, Nikhilkumar N. & Hewitt, Neil J., 2020. "Tariff-based load shifting for domestic cascade heat pump with enhanced system energy efficiency and reduced wind power curtailment," Applied Energy, Elsevier, vol. 257(C).
    2. Fina, Bernadette & Roberts, Mike B. & Auer, Hans & Bruce, Anna & MacGill, Iain, 2021. "Exogenous influences on deployment and profitability of photovoltaics for self-consumption in multi-apartment buildings in Australia and Austria," Applied Energy, Elsevier, vol. 283(C).
    3. Felipe Arraño-Vargas & Zhiwei Shen & Shan Jiang & John Fletcher & Georgios Konstantinou, 2022. "Challenges and Mitigation Measures in Power Systems with High Share of Renewables—The Australian Experience," Energies, MDPI, vol. 15(2), pages 1-22, 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. Zhu, Dafeng & Yang, Bo & Ma, Chengbin & Wang, Zhaojian & Zhu, Shanying & Ma, Kai & Guan, Xinping, 2022. "Stochastic gradient-based fast distributed multi-energy management for an industrial park with temporally-coupled constraints," Applied Energy, Elsevier, vol. 317(C).
    2. Osaru Agbonaye & Patrick Keatley & Ye Huang & Motasem Bani Mustafa & Neil Hewitt, 2020. "Design, Valuation and Comparison of Demand Response Strategies for Congestion Management," Energies, MDPI, vol. 13(22), pages 1-29, November.
    3. Kerscher, Selina & Koirala, Arpan & Arboleya, Pablo, 2024. "Grid-optimal energy community planning from a systems perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    4. Matteo Baldelli & Lorenzo Bartolucci & Stefano Cordiner & Giorgio D’Andrea & Emanuele De Maina & Vincenzo Mulone, 2023. "Biomass to H2: Evaluation of the Impact of PV and TES Power Supply on the Performance of an Integrated Bio-Thermo-Chemical Upgrading Process for Wet Residual Biomass," Energies, MDPI, vol. 16(7), pages 1-17, March.
    5. Zheng, Jinfu & Zhou, Zhigang & Zhao, Jianing & Hu, Songtao & Wang, Jinda, 2021. "Effects of intermittent heating on an integrated heat and power dispatch system for wind power integration and corresponding operation regulation," Applied Energy, Elsevier, vol. 287(C).
    6. Wang, Qiaochu & Ding, Yan & Kong, Xiangfei & Tian, Zhe & Xu, Linrui & He, Qing, 2022. "Load pattern recognition based optimization method for energy flexibility in office buildings," Energy, Elsevier, vol. 254(PC).
    7. Agbonaye, Osaru & Keatley, Patrick & Huang, Ye & Odiase, Friday O. & Hewitt, Neil, 2022. "Value of demand flexibility for managing wind energy constraint and curtailment," Renewable Energy, Elsevier, vol. 190(C), pages 487-500.
    8. 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).
    9. Li, Carmen & Chyong, Chi Kong & Reiner, David M. & Roques, Fabien, 2024. "Taking a Portfolio approach to wind and solar deployment: The case of the National Electricity Market in Australia," Applied Energy, Elsevier, vol. 369(C).
    10. Shin, Hyun Ho & Kim, Kibong & Lee, Minwoo & Han, Changho & Kim, Yongchan, 2024. "Maximized thermal energy utilization of surface water-source heat pumps using heat source compensation strategies under low water temperature conditions," Energy, Elsevier, vol. 288(C).
    11. Roberts, Mike B. & Sharma, Arijit & MacGill, Iain, 2022. "Efficient, effective and fair allocation of costs and benefits in residential energy communities deploying shared photovoltaics," Applied Energy, Elsevier, vol. 305(C).
    12. Arraño-Vargas, Felipe & Jiang, Shan & Bennett, Bruce & Konstantinou, Georgios, 2023. "Mitigation of power system oscillations in weak grids with battery energy storage systems: A real-world case study," Energy, Elsevier, vol. 283(C).
    13. Mahmoud Khaled & Samer Ali & Hassan Jaber & Jalal Faraj & Rabih Murr & Thierry Lemenand, 2022. "Heating/Cooling Fresh Air Using Hot/Cold Exhaust Air of Heating, Ventilating, and Air Conditioning Systems," Energies, MDPI, vol. 15(5), pages 1-11, March.
    14. Zhuang, Chaoqun & Choudhary, Ruchi & Mavrogianni, Anna, 2023. "Uncertainty-based optimal energy retrofit methodology for building heat electrification with enhanced energy flexibility and climate adaptability," Applied Energy, Elsevier, vol. 341(C).
    15. Ding, Yan & Lyu, Yacong & Lu, Shilei & Wang, Ran, 2022. "Load shifting potential assessment of building thermal storage performance for building design," Energy, Elsevier, vol. 243(C).
    16. Dimitrios Dimitropoulos & Mohammad Kazem Bakhshizadeh & Lukasz Kocewiak & Xiongfei Wang & Frede Blaabjerg, 2024. "Impact of Synchronous Condensers’ Ratings on Mitigating Subsynchronous Oscillations in Wind Farms," Energies, MDPI, vol. 17(7), pages 1-20, April.
    17. Domenig, Christoph & Scheller, Fabian & Gunkel, Phillipp Andreas & Hermann, Julian & Bergaentzlé, Claire-Marie & Lopes, Marta A.R. & Barnes, Jake & McKenna, Russell, 2024. "Overcoming the landlord–tenant dilemma: A techno-economic assessment of collective self-consumption for European multi-family buildings," Energy Policy, Elsevier, vol. 189(C).
    18. Mahsa Khorram & Pedro Faria & Zita Vale & Carlos Ramos, 2020. "Sequential Tasks Shifting for Participation in Demand Response Programs," Energies, MDPI, vol. 13(18), pages 1-16, September.
    19. Duan, Zhu & Liu, Hui & Li, Ye & Nikitas, Nikolaos, 2022. "Time-variant post-processing method for long-term numerical wind speed forecasts based on multi-region recurrent graph network," Energy, Elsevier, vol. 259(C).
    20. Wiesheu, Michael & Rutešić, Luka & Shukhobodskiy, Alexander Alexandrovich & Pogarskaia, Tatiana & Zaitcev, Aleksandr & Colantuono, Giuseppe, 2021. "RED WoLF hybrid storage system: Adaptation of algorithm and analysis of performance in residential dwellings," Renewable Energy, Elsevier, vol. 179(C), pages 1036-1048.

    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:jeners:v:17:y:2024:i:12:p:2977-:d:1416302. 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.