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A review of current analytical methods, modelling tools and development frameworks applicable for future retail electricity market design

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  • Hampton, Harrison
  • Foley, Aoife

Abstract

Retail electricity markets require development to become transparently functioning, operate in near real-time, permit the integration of smart technology, improve customer engagement, better reflect wholesale prices, be driven by optimal sustainability metrics and mitigate against unexpected price spikes, so that society transitions to net zero in a just manner. This study postulates that it is essential that future retail electricity markets are designed by cross-linking current analytical approaches and integrating proprietary and open-source modelling tools, by adopting the latest development frameworks across data science, software development, cloud computing and Internet of Things interconnectivity. Current analytical methods applicable for retail electricity market design are reviewed and multi-criteria decision analyses are applied to assess modelling tool and development framework effectiveness. A key finding of this study is that current analytical methods applied in the research domain are typically segregated or siloed. As current analytical methods tend to focus on specific clusters, such as electricity customer profiling, demand response and dynamic pricing, peer-to-peer electricity trading, interconnectivity of Internet of Things devices and distribution-level power dynamics, rather than the integration of these clusters and how each analytical method interacts with each other. Similarly, this study finds that modelling tools are also typically segregated or siloed, focusing on energy system planning, electricity market simulation, power system simulation and energy consumption analysis. To provide the necessary tools to design future retail electricity markets, this study suggests that robust modelling tool integration is required.

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  • Hampton, Harrison & Foley, Aoife, 2022. "A review of current analytical methods, modelling tools and development frameworks applicable for future retail electricity market design," Energy, Elsevier, vol. 260(C).
    • Handle: RePEc:eee:energy:v:260:y:2022:i:c:s0360544222017649
    DOI: 10.1016/j.energy.2022.124861
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    as
    1. Al Kez, Dlzar & Foley, Aoife M. & Ahmed, Faraedoon W. & O'Malley, Mark & Muyeen, S.M., 2021. "Potential of data centers for fast frequency response services in synchronously isolated power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    2. Yang, Xi & Pang, Jun & Teng, Fei & Gong, Ruixin & Springer, Cecilia, 2021. "The environmental co-benefit and economic impact of China's low-carbon pathways: Evidence from linking bottom-up and top-down models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    3. Yue, Xiufeng & Deane, J.P. & O'Gallachoir, Brian & Rogan, Fionn, 2020. "Identifying decarbonisation opportunities using marginal abatement cost curves and energy system scenario ensembles," Applied Energy, Elsevier, vol. 276(C).
    4. Pinto, Giuseppe & Piscitelli, Marco Savino & Vázquez-Canteli, José Ramón & Nagy, Zoltán & Capozzoli, Alfonso, 2021. "Coordinated energy management for a cluster of buildings through deep reinforcement learning," Energy, Elsevier, vol. 229(C).
    5. Li, Zhenpeng & Ma, Tao, 2020. "Peer-to-peer electricity trading in grid-connected residential communities with household distributed photovoltaic," Applied Energy, Elsevier, vol. 278(C).
    6. Zhongfu Tan & Ye Yang & Pinxi Wang & Yilun Li, 2021. "Charging Behavior Analysis of New Energy Vehicles," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    7. Lu, Renzhi & Hong, Seung Ho & Zhang, Xiongfeng, 2018. "A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach," Applied Energy, Elsevier, vol. 220(C), pages 220-230.
    8. Khasani, & Prasidha, Willie & Widyatama, Arif & Aziz, Muhammad, 2021. "Energy-saving and environmentally-benign integrated ammonia production system," Energy, Elsevier, vol. 235(C).
    9. Després, Jacques & Hadjsaid, Nouredine & Criqui, Patrick & Noirot, Isabelle, 2015. "Modelling the impacts of variable renewable sources on the power sector: Reconsidering the typology of energy modelling tools," Energy, Elsevier, vol. 80(C), pages 486-495.
    10. Vinhoza, Amanda & Schaeffer, Roberto, 2021. "Brazil's offshore wind energy potential assessment based on a Spatial Multi-Criteria Decision Analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    11. McIlwaine, Neil & Foley, Aoife M. & Morrow, D. John & Al Kez, Dlzar & Zhang, Chongyu & Lu, Xi & Best, Robert J., 2021. "A state-of-the-art techno-economic review of distributed and embedded energy storage for energy systems," Energy, Elsevier, vol. 229(C).
    12. Foley, A.M. & Ó Gallachóir, B.P. & Hur, J. & Baldick, R. & McKeogh, E.J., 2010. "A strategic review of electricity systems models," Energy, Elsevier, vol. 35(12), pages 4522-4530.
    13. Tarroja, Brian & Hittinger, Eric, 2021. "The value of consumer acceptance of controlled electric vehicle charging in a decarbonizing grid: The case of California," Energy, Elsevier, vol. 229(C).
    14. Tim Braunholtz-Speight & Maria Sharmina & Edward Manderson & Carly McLachlan & Matthew Hannon & Jeff Hardy & Sarah Mander, 2020. "Business models and financial characteristics of community energy in the UK," Nature Energy, Nature, vol. 5(2), pages 169-177, February.
    15. Fotouhi Ghazvini, Mohammad Ali & Ramos, Sergio & Soares, João & Castro, Rui & Vale, Zita, 2019. "Liberalization and customer behavior in the Portuguese residential retail electricity market," Utilities Policy, Elsevier, vol. 59(C), pages 1-1.
    16. Tao Chen & Qais Alsafasfeh & Hajir Pourbabak & Wencong Su, 2017. "The Next-Generation U.S. Retail Electricity Market with Customers and Prosumers—A Bibliographical Survey," Energies, MDPI, vol. 11(1), pages 1-17, December.
    17. Kumar Biswajit Debnath & Monjur Mourshed, 2018. "Author Correction: Challenges and gaps for energy planning models in the developing-world context," Nature Energy, Nature, vol. 3(6), pages 528-528, June.
    18. Zhang, Tao & Li, Yiteng & Chen, Yin & Feng, Xiaoyu & Zhu, Xingyu & Chen, Zhangxing & Yao, Jun & Zheng, Yongchun & Cai, Jianchao & Song, Hongqing & Sun, Shuyu, 2021. "Review on space energy," Applied Energy, Elsevier, vol. 292(C).
    19. Murrant, Daniel & Radcliffe, Jonathan, 2018. "Assessing energy storage technology options using a multi-criteria decision analysis-based framework," Applied Energy, Elsevier, vol. 231(C), pages 788-802.
    20. Kumar Biswajit Debnath & Monjur Mourshed, 2018. "Challenges and gaps for energy planning models in the developing-world context," Nature Energy, Nature, vol. 3(3), pages 172-184, March.
    21. Massoud Amin, 2013. "The smart-grid solution," Nature, Nature, vol. 499(7457), pages 145-147, July.
    22. Binod Prasad Koirala & Ellen C. J. van Oost & Esther C. van der Waal & Henny J. van der Windt, 2021. "New Pathways for Community Energy and Storage," Energies, MDPI, vol. 14(2), pages 1-8, January.
    23. Motlagh, Omid & Berry, Adam & O'Neil, Lachlan, 2019. "Clustering of residential electricity customers using load time series," Applied Energy, Elsevier, vol. 237(C), pages 11-24.
    24. Wayes Tushar & Tapan K. Saha & Chau Yuen & David Smith & Peta Ashworth & H. Vincent Poor & Subarna Basnet, 2020. "Challenges and prospects for negawatt trading in light of recent technological developments," Nature Energy, Nature, vol. 5(11), pages 834-841, November.
    25. Sun, Cheng & Wang, Yun & McMurtrey, Michael D. & Jerred, Nathan D. & Liou, Frank & Li, Ju, 2021. "Additive manufacturing for energy: A review," Applied Energy, Elsevier, vol. 282(PA).
    26. Sharma, Tarun & Glynn, James & Panos, Evangelos & Deane, Paul & Gargiulo, Maurizio & Rogan, Fionn & Gallachóir, Brian Ó, 2019. "High performance computing for energy system optimization models: Enhancing the energy policy tool kit," Energy Policy, Elsevier, vol. 128(C), pages 66-74.
    27. Cheng, Liang & Zhang, Fangli & Li, Shuyi & Mao, Junya & Xu, Hao & Ju, Weimin & Liu, Xiaoqiang & Wu, Jie & Min, Kaifu & Zhang, Xuedong & Li, Manchun, 2020. "Solar energy potential of urban buildings in 10 cities of China," Energy, Elsevier, vol. 196(C).
    28. Barjak, F. & Lindeque, J. & Koch, J. & Soland, M., 2022. "Segmenting household electricity customers with quantitative and qualitative approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    29. Campos-Guzmán, Verónica & García-Cáscales, M. Socorro & Espinosa, Nieves & Urbina, Antonio, 2019. "Life Cycle Analysis with Multi-Criteria Decision Making: A review of approaches for the sustainability evaluation of renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 343-366.
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