IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v225y2021ics0360544221004059.html
   My bibliography  Save this article

Techno-economic analysis with energy flow modeling for investigating the investment risks related to consumption changes within a standalone microgrid in Sweden

Author

Listed:
  • Nömm, Jakob
  • Rönnberg, Sarah K.
  • Bollen, Math H.J.

Abstract

A techno-economic energy flow model for a standalone microgrid was developed to investigate the investment risks related to consumption changes and compare the results to a conventional grid-connection in Sweden. Two different design strategies for a standalone microgrid was used, one with the objective to minimize the life-cycle cost and the other to provide a lower investment risk. It was shown that the largest investment risk for both design strategies was a potential increase in annual energy consumption within the standalone microgrid. The design strategy with the objective to reduce the investment risk eliminated the influence on the life-cycle cost from an increase in peak consumption and reduced the overall investment risk in comparison to the design strategy with the objective to minimize the life-cycle cost. However, a larger life-cycle cost was the drawback of that design strategy. It was concluded that locations with larger annual mean capacity factors reduced the investment risk for standalone microgrids due to lower diesel fuel dependence. It was also concluded that a conventional grid-connection had a lower investment risk than a standalone microgrid, since adverse changes in consumption always increased the life-cycle cost less for a conventional grid-connection than for a standalone microgrid.

Suggested Citation

  • Nömm, Jakob & Rönnberg, Sarah K. & Bollen, Math H.J., 2021. "Techno-economic analysis with energy flow modeling for investigating the investment risks related to consumption changes within a standalone microgrid in Sweden," Energy, Elsevier, vol. 225(C).
  • Handle: RePEc:eee:energy:v:225:y:2021:i:c:s0360544221004059
    DOI: 10.1016/j.energy.2021.120156
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221004059
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2021.120156?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. Ali, Fahad & Ahmar, Muhammad & Jiang, Yuexiang & AlAhmad, Mohammad, 2021. "A techno-economic assessment of hybrid energy systems in rural Pakistan," Energy, Elsevier, vol. 215(PA).
    2. Odou, Oluwarotimi Delano Thierry & Bhandari, Ramchandra & Adamou, Rabani, 2020. "Hybrid off-grid renewable power system for sustainable rural electrification in Benin," Renewable Energy, Elsevier, vol. 145(C), pages 1266-1279.
    3. Nandi, Sanjoy Kumar & Ghosh, Himangshu Ranjan, 2010. "Prospect of wind–PV-battery hybrid power system as an alternative to grid extension in Bangladesh," Energy, Elsevier, vol. 35(7), pages 3040-3047.
    4. Rajbongshi, Rumi & Borgohain, Devashree & Mahapatra, Sadhan, 2017. "Optimization of PV-biomass-diesel and grid base hybrid energy systems for rural electrification by using HOMER," Energy, Elsevier, vol. 126(C), pages 461-474.
    5. He, Li & Zhang, Shiyue & Chen, Yizhong & Ren, Lixia & Li, Jing, 2018. "Techno-economic potential of a renewable energy-based microgrid system for a sustainable large-scale residential community in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 631-641.
    6. Naqvi, Muhammad & Yan, Jinyue & Dahlquist, Erik & Naqvi, Salman Raza, 2017. "Off-grid electricity generation using mixed biomass compost: A scenario-based study with sensitivity analysis," Applied Energy, Elsevier, vol. 201(C), pages 363-370.
    7. Mills, Bradford & Schleich, Joachim, 2012. "Residential energy-efficient technology adoption, energy conservation, knowledge, and attitudes: An analysis of European countries," Energy Policy, Elsevier, vol. 49(C), pages 616-628.
    8. Li, Chong & Zhou, Dequn & Wang, Hui & Lu, Yuzheng & Li, Dongdong, 2020. "Techno-economic performance study of stand-alone wind/diesel/battery hybrid system with different battery technologies in the cold region of China," Energy, Elsevier, vol. 192(C).
    9. Guo, Zhifeng & Zhou, Kaile & Zhang, Chi & Lu, Xinhui & Chen, Wen & Yang, Shanlin, 2018. "Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 399-412.
    10. Kusakana, Kanzumba, 2014. "Techno-economic analysis of off-grid hydrokinetic-based hybrid energy systems for onshore/remote area in South Africa," Energy, Elsevier, vol. 68(C), pages 947-957.
    11. Thomas, Dimitrios & Deblecker, Olivier & Ioakimidis, Christos S., 2016. "Optimal design and techno-economic analysis of an autonomous small isolated microgrid aiming at high RES penetration," Energy, Elsevier, vol. 116(P1), pages 364-379.
    12. Kavousian, Amir & Rajagopal, Ram & Fischer, Martin, 2013. "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, Elsevier, vol. 55(C), pages 184-194.
    13. Ajlan, Abdullah & Tan, Chee Wei & Abdilahi, Abdirahman Mohamed, 2017. "Assessment of environmental and economic perspectives for renewable-based hybrid power system in Yemen," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 559-570.
    14. Staffell, IL & Green, RJ, 2014. "Summary of Wind Farm Performance Decline in the UK," Working Papers 12880, Imperial College, London, Imperial College Business School.
    15. Rohani, Golbarg & Nour, Mutasim, 2014. "Techno-economical analysis of stand-alone hybrid renewable power system for Ras Musherib in United Arab Emirates," Energy, Elsevier, vol. 64(C), pages 828-841.
    16. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
    17. Kubli, Merla & Loock, Moritz & Wüstenhagen, Rolf, 2018. "The flexible prosumer: Measuring the willingness to co-create distributed flexibility," Energy Policy, Elsevier, vol. 114(C), pages 540-548.
    18. Abrahamse, Wokje & Steg, Linda, 2009. "How do socio-demographic and psychological factors relate to households' direct and indirect energy use and savings?," Journal of Economic Psychology, Elsevier, vol. 30(5), pages 711-720, October.
    19. Hazelton, James & Bruce, Anna & MacGill, Iain, 2014. "A review of the potential benefits and risks of photovoltaic hybrid mini-grid systems," Renewable Energy, Elsevier, vol. 67(C), pages 222-229.
    20. Das, Barun K. & Zaman, Forhad, 2019. "Performance analysis of a PV/Diesel hybrid system for a remote area in Bangladesh: Effects of dispatch strategies, batteries, and generator selection," Energy, Elsevier, vol. 169(C), pages 263-276.
    21. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
    22. Staffell, Iain & Green, Richard, 2014. "How does wind farm performance decline with age?," Renewable Energy, Elsevier, vol. 66(C), pages 775-786.
    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. Rezk, Hegazy & Sayed, Enas Taha & Al-Dhaifallah, Mujahed & Obaid, M. & El-Sayed, Abou Hashema M. & Abdelkareem, Mohammad Ali & Olabi, A.G., 2019. "Fuel cell as an effective energy storage in reverse osmosis desalination plant powered by photovoltaic system," Energy, Elsevier, vol. 175(C), pages 423-433.
    2. William López-Castrillón & Héctor H. Sepúlveda & Cristian Mattar, 2021. "Off-Grid Hybrid Electrical Generation Systems in Remote Communities: Trends and Characteristics in Sustainability Solutions," Sustainability, MDPI, vol. 13(11), pages 1-29, May.
    3. Ali, Fahad & Ahmar, Muhammad & Jiang, Yuexiang & AlAhmad, Mohammad, 2021. "A techno-economic assessment of hybrid energy systems in rural Pakistan," Energy, Elsevier, vol. 215(PA).
    4. Das, Barun K. & Tushar, Mohammad Shahed H.K. & Zaman, Forhad, 2021. "Techno-economic feasibility and size optimisation of an off-grid hybrid system for supplying electricity and thermal loads," Energy, Elsevier, vol. 215(PA).
    5. Toopshekan, Ashkan & Yousefi, Hossein & Astaraei, Fatemeh Razi, 2020. "Technical, economic, and performance analysis of a hybrid energy system using a novel dispatch strategy," Energy, Elsevier, vol. 213(C).
    6. Fazlur Rashid & Md. Emdadul Hoque & Muhammad Aziz & Talukdar Nazmus Sakib & Md. Tariqul Islam & Raihan Moker Robin, 2021. "Investigation of Optimal Hybrid Energy Systems Using Available Energy Sources in a Rural Area of Bangladesh," Energies, MDPI, vol. 14(18), pages 1-24, September.
    7. Yarbaşı, İkram Yusuf & Çelik, Ali Kemal, 2023. "The determinants of household electricity demand in Turkey: An implementation of the Heckman Sample Selection model," Energy, Elsevier, vol. 283(C).
    8. Kies, Alexander & Schyska, Bruno U. & Bilousova, Mariia & El Sayed, Omar & Jurasz, Jakub & Stoecker, Horst, 2021. "Critical review of renewable generation datasets and their implications for European power system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    9. Ribó-Pérez, David & Herraiz-Cañete, Ángela & Alfonso-Solar, David & Vargas-Salgado, Carlos & Gómez-Navarro, Tomás, 2021. "Modelling biomass gasifiers in hybrid renewable energy microgrids; a complete procedure for enabling gasifiers simulation in HOMER," Renewable Energy, Elsevier, vol. 174(C), pages 501-512.
    10. Pfenninger, Stefan, 2017. "Dealing with multiple decades of hourly wind and PV time series in energy models: A comparison of methods to reduce time resolution and the planning implications of inter-annual variability," Applied Energy, Elsevier, vol. 197(C), pages 1-13.
    11. Uddin, Moslem & Mo, Huadong & Dong, Daoyi & Elsawah, Sondoss, 2023. "Techno-economic potential of multi-energy community microgrid: The perspective of Australia," Renewable Energy, Elsevier, vol. 219(P2).
    12. Islam, M.S. & Das, Barun K. & Das, Pronob & Rahaman, Md Habibur, 2021. "Techno-economic optimization of a zero emission energy system for a coastal community in Newfoundland, Canada," Energy, Elsevier, vol. 220(C).
    13. Jann Michael Weinand & Maximilian Hoffmann & Jan Gopfert & Tom Terlouw & Julian Schonau & Patrick Kuckertz & Russell McKenna & Leander Kotzur & Jochen Lin{ss}en & Detlef Stolten, 2022. "Global LCOEs of decentralized off-grid renewable energy systems," Papers 2212.12742, arXiv.org, revised Mar 2023.
    14. Mokhtara, Charafeddine & Negrou, Belkhir & Settou, Noureddine & Settou, Belkhir & Samy, Mohamed Mahmoud, 2021. "Design optimization of off-grid Hybrid Renewable Energy Systems considering the effects of building energy performance and climate change: Case study of Algeria," Energy, Elsevier, vol. 219(C).
    15. Bertheau, Paul, 2020. "Supplying not electrified islands with 100% renewable energy based micro grids: A geospatial and techno-economic analysis for the Philippines," Energy, Elsevier, vol. 202(C).
    16. Maeder, Mattia & Weiss, Olga & Boulouchos, Konstantinos, 2021. "Assessing the need for flexibility technologies in decarbonized power systems: A new model applied to Central Europe," Applied Energy, Elsevier, vol. 282(PA).
    17. Gebrehiwot, Kiflom & Mondal, Md. Alam Hossain & Ringler, Claudia & Gebremeskel, Abiti Getaneh, 2019. "Optimization and cost-benefit assessment of hybrid power systems for off-grid rural electrification in Ethiopia," Energy, Elsevier, vol. 177(C), pages 234-246.
    18. Bahramara, S. & Moghaddam, M. Parsa & Haghifam, M.R., 2016. "Optimal planning of hybrid renewable energy systems using HOMER: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 609-620.
    19. Hua, Jian & Shiu, Hong-Gwo, 2018. "Sustainable development of renewable energy on Wangan Island, Taiwan," Utilities Policy, Elsevier, vol. 55(C), pages 200-208.
    20. Bosch, Jonathan & Staffell, Iain & Hawkes, Adam D., 2017. "Temporally-explicit and spatially-resolved global onshore wind energy potentials," Energy, Elsevier, vol. 131(C), pages 207-217.

    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:225:y:2021:i:c:s0360544221004059. 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.