IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v276y2023ics0360544223008149.html
   My bibliography  Save this article

A framework for diagnosis and management of development and implementation of cloud-based energy communities - Energy cloud communities

Author

Listed:
  • Schaefer, Jones Luís
  • Mairesse Siluk, Julio Cezar
  • Stefan de Carvalho, Patrícia
  • Maria de Miranda Mota, Caroline
  • Pinheiro, José Renes
  • Nuno da Silva Faria, Pedro
  • Gouvea da Costa, Sergio Eduardo

Abstract

The energy sector is in a technological transition process towards the massive insertion of new computing technologies aimed to assist in operational, management, and commercialization tasks, transforming itself into cloud-based energy environments or Energy Cloud (EC). In this sense, companies should seek the best management practices for implementing this concept in environments such as Energy Cloud Communities (ECCs). Thus, the objective of this article is to propose a framework for the diagnosis and management of the development and implementation of ECCs. The framework was developed through a systematic literature review and two surveys with experts in the fields of energy, computer science, and management. The framework integrates variables that influence and impact the business processes related to the EC and its implementation, such as Performance Objectives (POs) and Critical Success Factors (CSFs). The framework's input variables are composed of a series of challenges and opportunities that impact the implementation of these ECCs. The framework is aimed at organizations that work by contributing to the implementation of ECCs, showing what the needs are, and pointing out the effects of these deficiencies on POs and CSFs, directing the focus on what needs to be improved for the successful implementation of the ECCs.

Suggested Citation

  • Schaefer, Jones Luís & Mairesse Siluk, Julio Cezar & Stefan de Carvalho, Patrícia & Maria de Miranda Mota, Caroline & Pinheiro, José Renes & Nuno da Silva Faria, Pedro & Gouvea da Costa, Sergio Eduard, 2023. "A framework for diagnosis and management of development and implementation of cloud-based energy communities - Energy cloud communities," Energy, Elsevier, vol. 276(C).
    • Handle: RePEc:eee:energy:v:276:y:2023:i:c:s0360544223008149
    DOI: 10.1016/j.energy.2023.127420
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223008149
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.127420?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. Leithon, Johann & Werner, Stefan & Koivunen, Visa, 2020. "Cost-aware renewable energy management: Centralized vs. distributed generation," Renewable Energy, Elsevier, vol. 147(P1), pages 1164-1179.
    2. Karami, Mahdi & Madlener, Reinhard, 2022. "Business models for peer-to-peer energy trading in Germany based on households’ beliefs and preferences," Applied Energy, Elsevier, vol. 306(PB).
    3. Okoshi, Cleina Yayoe & Pinheiro de Lima, Edson & Gouvea Da Costa, Sergio Eduardo, 2019. "Performance cause and effect studies: Analyzing high performance manufacturing companies," International Journal of Production Economics, Elsevier, vol. 210(C), pages 27-41.
    4. Zheng, Siqian & Jin, Xin & Huang, Gongsheng & Lai, Alvin CK., 2022. "Coordination of commercial prosumers with distributed demand-side flexibility in energy sharing and management system," Energy, Elsevier, vol. 248(C).
    5. Ford, Rebecca & Maidment, Chris & Vigurs, Carol & Fell, Michael J. & Morris, Madeleine, 2021. "Smart local energy systems (SLES): A framework for exploring transition, context, and impacts," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    6. Bhattacharjee, Somudeep & Nandi, Champa, 2021. "Design of a voting based smart energy management system of the renewable energy based hybrid energy system for a small community," Energy, Elsevier, vol. 214(C).
    7. Ramos, Dorel Soares & Del Carpio Huayllas, Tesoro Elena & Morozowski Filho, Marciano & Tolmasquim, Mauricio Tiomno, 2020. "New commercial arrangements and business models in electricity distribution systems: The case of Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    8. Chin-Chi Cheng & Dasheng Lee & Ching Hung Wang & Shu Fen Lin & Hung-Peng Chang & Shang-Te Fang, 2015. "The Development of Cloud Energy Management," Energies, MDPI, vol. 8(5), pages 1-21, May.
    9. Bana e Costa, Carlos A. & Ensslin, Leonardo & Correa, Emerson C. & Vansnick, Jean-Claude, 1999. "Decision Support Systems in action: Integrated application in a multicriteria decision aid process," European Journal of Operational Research, Elsevier, vol. 113(2), pages 315-335, March.
    10. Razmjoo, Armin & Mirjalili, Seyedali & Aliehyaei, Mehdi & Østergaard, Poul Alberg & Ahmadi, Abolfazl & Majidi Nezhad, Meysam, 2022. "Development of smart energy systems for communities: technologies, policies and applications," Energy, Elsevier, vol. 248(C).
    11. Lin, Chun-Cheng & Wu, Yi-Fang & Liu, Wan-Yu, 2021. "Optimal sharing energy of a complex of houses through energy trading in the Internet of energy," Energy, Elsevier, vol. 220(C).
    12. Jones Luís Schaefer & Julio Cezar Mairesse Siluk & Patrícia Stefan de Carvalho & José Renes Pinheiro & Paulo Smith Schneider, 2020. "Management Challenges and Opportunities for Energy Cloud Development and Diffusion," Energies, MDPI, vol. 13(16), pages 1-27, August.
    13. Emilio Ghiani & Andrea Giordano & Andrea Nieddu & Luca Rosetti & Fabrizio Pilo, 2019. "Planning of a Smart Local Energy Community: The Case of Berchidda Municipality (Italy)," Energies, MDPI, vol. 12(24), pages 1-14, December.
    14. Francisco-Javier Ferrández-Pastor & Higinio Mora & Antonio Jimeno-Morenilla & Bruno Volckaert, 2018. "Deployment of IoT Edge and Fog Computing Technologies to Develop Smart Building Services," Sustainability, MDPI, vol. 10(11), pages 1-23, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Filipe Possatti Campanhola & Jones Luís Schaefer & Rodinei Carraro & Julio Cezar Mairesse Siluk & Tiago Bandeira Marchesan, 2023. "Asset Management Support Tool for Energy Systems using AHP and Monte Carlo Methods applied to Power Transformers," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 441-451, November.

    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. Sima, Catalina Alexandra & Popescu, Claudia Laurenta & Popescu, Mihai Octavian & Roscia, Mariacristina & Seritan, George & Panait, Cornel, 2022. "Techno-economic assessment of university energy communities with on/off microgrid," Renewable Energy, Elsevier, vol. 193(C), pages 538-553.
    2. Couraud, Benoit & Andoni, Merlinda & Robu, Valentin & Norbu, Sonam & Chen, Si & Flynn, David, 2023. "Responsive FLEXibility: A smart local energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    3. Razmjoo, Armin & Mirjalili, Seyedali & Aliehyaei, Mehdi & Østergaard, Poul Alberg & Ahmadi, Abolfazl & Majidi Nezhad, Meysam, 2022. "Development of smart energy systems for communities: technologies, policies and applications," Energy, Elsevier, vol. 248(C).
    4. Liu, Xinglei & Liu, Jun & Ren, Kezheng & Liu, Xiaoming & Liu, Jiacheng, 2022. "An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision," Energy, Elsevier, vol. 261(PB).
    5. Ensslin, Leonardo & Dezem, Vinicius & Dutra, Ademar & Ensslin, Sandra R. & Somensi, Karine, 2017. "Management support for agricultural enterprises: a case study for a fruit-producing company," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(4), March.
    6. Bernadette Fina & Hans Auer, 2020. "Economic Viability of Renewable Energy Communities under the Framework of the Renewable Energy Directive Transposed to Austrian Law," Energies, MDPI, vol. 13(21), pages 1-31, November.
    7. Tsoukias, Alexis, 2008. "From decision theory to decision aiding methodology," European Journal of Operational Research, Elsevier, vol. 187(1), pages 138-161, May.
    8. Maria Franca Norese & Diana Rolando & Rocco Curto, 2023. "DIKEDOC: a multicriteria methodology to organise and communicate knowledge," Annals of Operations Research, Springer, vol. 325(2), pages 1049-1082, June.
    9. Lazzari, Florencia & Mor, Gerard & Cipriano, Jordi & Solsona, Francesc & Chemisana, Daniel & Guericke, Daniela, 2023. "Optimizing planning and operation of renewable energy communities with genetic algorithms," Applied Energy, Elsevier, vol. 338(C).
    10. Carayannis, Elias G. & Ferreira, Fernando A.F. & Bento, Paulo & Ferreira, João J.M. & Jalali, Marjan S. & Fernandes, Bernardo M.Q., 2018. "Developing a socio-technical evaluation index for tourist destination competitiveness using cognitive mapping and MCDA," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 147-158.
    11. Han, Fengwu & Zeng, Jianfeng & Lin, Junjie & Zhao, Yunlong & Gao, Chong, 2023. "A stochastic hierarchical optimization and revenue allocation approach for multi-regional integrated energy systems based on cooperative games," Applied Energy, Elsevier, vol. 350(C).
    12. Gomes, Luís S. & Santos, Sérgio P. & Coelho, Luís Serra & Rebelo, Efigénio L., 2023. "Using MCDA to assist an Intermunicipal community develop a resilience strategy in face of the pandemic caused by the SARS-CoV-2," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    13. Aldona Standar & Agnieszka Kozera & Łukasz Satoła, 2021. "The Importance of Local Investments Co-Financed by the European Union in the Field of Renewable Energy Sources in Rural Areas of Poland," Energies, MDPI, vol. 14(2), pages 1-23, January.
    14. Grabisch, Michel & Labreuche, Christophe & Vansnick, Jean-Claude, 2003. "On the extension of pseudo-Boolean functions for the aggregation of interacting criteria," European Journal of Operational Research, Elsevier, vol. 148(1), pages 28-47, July.
    15. Ma, Huan & Sun, Qinghan & Chen, Qun & Zhao, Tian & He, Kelun, 2023. "Exergy-based flexibility cost indicator and spatio-temporal coordination principle of distributed multi-energy systems," Energy, Elsevier, vol. 267(C).
    16. Sourav Khanna & Victor Becerra & Adib Allahham & Damian Giaouris & Jamie M. Foster & Keiron Roberts & David Hutchinson & Jim Fawcett, 2020. "Demand Response Model Development for Smart Households Using Time of Use Tariffs and Optimal Control—The Isle of Wight Energy Autonomous Community Case Study," Energies, MDPI, vol. 13(3), pages 1-27, January.
    17. Kamandulienė Asta & Kulbokas Žilvinas, 2020. "The Assessment of Financial Performance of the Lithuanian Dairy Sector’s Listed Companies," Management of Organizations: Systematic Research, Sciendo, vol. 83(1), pages 73-92, June.
    18. Zhou, Yuekuan & Cao, Sunliang & Hensen, Jan L.M., 2021. "An energy paradigm transition framework from negative towards positive district energy sharing networks—Battery cycling aging, advanced battery management strategies, flexible vehicles-to-buildings in," Applied Energy, Elsevier, vol. 288(C).
    19. Li, Na & Okur, Özge, 2023. "Economic analysis of energy communities: Investment options and cost allocation," Applied Energy, Elsevier, vol. 336(C).
    20. Duan, Yunlong & Wang, Wannan & Zhou, Wei, 2020. "The multiple mediation effect of absorptive capacity on the organizational slack and innovation performance of high-tech manufacturing firms: Evidence from Chinese firms," International Journal of Production Economics, Elsevier, vol. 229(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:eee:energy:v:276:y:2023:i:c:s0360544223008149. 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.journals.elsevier.com/energy .

    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.