IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i10p4132-d1148606.html
   My bibliography  Save this article

Multicriteria Optimisation of the Structure of a Hybrid Power Supply System for a Single-Family Housing Estate in Poland, Taking into Account Different Electromobility Development Scenarios

Author

Listed:
  • Andrzej Tomczewski

    (Robotics and Electrical Engineering, Faculty of Control, Poznan University of Technology, 60-965 Poznan, Poland)

  • Stanisław Mikulski

    (Robotics and Electrical Engineering, Faculty of Control, Poznan University of Technology, 60-965 Poznan, Poland)

  • Adam Piotrowski

    (Advanced Energy Transition Advisory, 61-036 Poznan, Poland)

  • Sławomir Sowa

    (Faculty of Environmental and Mechanical Engineering, Poznan University of Life Sciences, 60-637 Poznan, Poland)

  • Krzysztof Wróbel

    (Automatic Control and Informatics, Faculty of Electrical Engineering, Opole University of Technology, 45-758 Opole, Poland)

Abstract

This article focuses on determining the optimum structure for a hybrid generation and storage system designed to power a single-family housing estate, taking into account the different number of electric vehicles in use and an assumed level of self-consumption of the generated energy. In terms of generation, two generation sections—wind and solar—and a lithium-ion container storage system will be taken into account. With regards to energy consumption, household load curves, determined on the basis of the tariff for residential consumers and modified by a random disturbance, will be taken into account, as well as the processes for charging electric cars with AC chargers, with power outputs ranging between 3.6 and 22 kW. Analyses were carried out for three locations in Poland—the Baltic Sea coast (good wind conditions), the Lublin Uplands (the best insolation in Poland) and the Carpathian foothills (poor wind and insolation conditions). The mathematical and numerical model of the system and the MOPSO (multiobjective particle swarm optimisation) algorithm were implemented in the Matlab environment. The results include Pareto fronts (three optimisation criteria: minimisation of energy storage capacity, minimisation of energy exchanged with the power grid and maximisation of the self-consumption rate) for the indicated locations and three electromobility development scenarios with determined NPVs (net present values) for a 20-year lifetime. The detailed results relate to the inclusion of an additional expert criterion in the form of a coupled payback period of no more than 10 years, a maximum NPV in the last year of operation and a self-consumption rate of at least 80%. The economic calculations take into account the decrease in PV installation capacity as a function of the year of operation, as well as changes in electricity and petrol prices and variations in energy prices at purchase and sale.

Suggested Citation

  • Andrzej Tomczewski & Stanisław Mikulski & Adam Piotrowski & Sławomir Sowa & Krzysztof Wróbel, 2023. "Multicriteria Optimisation of the Structure of a Hybrid Power Supply System for a Single-Family Housing Estate in Poland, Taking into Account Different Electromobility Development Scenarios," Energies, MDPI, vol. 16(10), pages 1-21, May.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:10:p:4132-:d:1148606
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/10/4132/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/10/4132/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Leszek Kasprzyk & Andrzej Tomczewski & Robert Pietracho & Agata Mielcarek & Zbigniew Nadolny & Krzysztof Tomczewski & Grzegorz Trzmiel & Juan Alemany, 2020. "Optimization of a PV-Wind Hybrid Power Supply Structure with Electrochemical Storage Intended for Supplying a Load with Known Characteristics," Energies, MDPI, vol. 13(22), pages 1-31, November.
    2. Luana Pontes & Tatiane Costa & Amanda Souza & Nicolau Dantas & Andrea Vasconcelos & Guilherme Rissi & Roberto Dias & Mohamed A. Mohamed & Pierluigi Siano & Manoel Marinho, 2023. "Operational Data Analysis of a Battery Energy Storage System to Support Wind Energy Generation," Energies, MDPI, vol. 16(3), pages 1-20, February.
    3. Gil, Gemma Oliver & Chowdhury, Jahedul Islam & Balta-Ozkan, Nazmiye & Hu, Yukun & Varga, Liz & Hart, Phil, 2021. "Optimising renewable energy integration in new housing developments with low carbon technologies," Renewable Energy, Elsevier, vol. 169(C), pages 527-540.
    4. 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).
    5. Stanisław Mikulski & Andrzej Tomczewski, 2021. "Use of Energy Storage to Reduce Transmission Losses in Meshed Power Distribution Networks," Energies, MDPI, vol. 14(21), pages 1-20, November.
    6. Rafaela Nascimento & Felipe Ramos & Aline Pinheiro & Washington de Araujo Silva Junior & Ayrlw M. C. Arcanjo & Roberto F. Dias Filho & Mohamed A. Mohamed & Manoel H. N. Marinho, 2022. "Case Study of Backup Application with Energy Storage in Microgrids," Energies, MDPI, vol. 15(24), pages 1-12, December.
    7. Koskela, Juha & Rautiainen, Antti & Järventausta, Pertti, 2019. "Using electrical energy storage in residential buildings – Sizing of battery and photovoltaic panels based on electricity cost optimization," Applied Energy, Elsevier, vol. 239(C), pages 1175-1189.
    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. Mariana de Morais Cavalcanti & Tatiane Costa & Alex C. Pereira & Eduardo B. Jatobá & José Bione de Melo Filho & Elisabete Barreto & Mohamed A. Mohamed & Adrian Ilinca & Manoel H. N. Marinho, 2023. "Case Studies for Supplying the Alternating Current Auxiliary Systems of Substations with a Voltage Equal to or Higher than 230 kV," Energies, MDPI, vol. 16(14), pages 1-25, July.
    2. 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).
    3. Waibel, Christoph & Evins, Ralph & Carmeliet, Jan, 2019. "Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials," Applied Energy, Elsevier, vol. 242(C), pages 1661-1682.
    4. 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).
    5. Laura Canale & Anna Rita Di Fazio & Mario Russo & Andrea Frattolillo & Marco Dell’Isola, 2021. "An Overview on Functional Integration of Hybrid Renewable Energy Systems in Multi-Energy Buildings," Energies, MDPI, vol. 14(4), pages 1-33, February.
    6. Zhang, Yijie & Ma, Tao & Elia Campana, Pietro & Yamaguchi, Yohei & Dai, Yanjun, 2020. "A techno-economic sizing method for grid-connected household photovoltaic battery systems," Applied Energy, Elsevier, vol. 269(C).
    7. Gul, Eid & Baldinelli, Giorgio & Bartocci, Pietro & Shamim, Tariq & Domenighini, Piergiovanni & Cotana, Franco & Wang, Jinwen & Fantozzi, Francesco & Bianchi, Francesco, 2023. "Transition toward net zero emissions - Integration and optimization of renewable energy sources: Solar, hydro, and biomass with the local grid station in central Italy," Renewable Energy, Elsevier, vol. 207(C), pages 672-686.
    8. Savolainen, Rebecka & Lahdelma, Risto, 2022. "Optimization of renewable energy for buildings with energy storages and 15-minute power balance," Energy, Elsevier, vol. 243(C).
    9. Liu, Jia & Chen, Xi & Yang, Hongxing & Li, Yutong, 2020. "Energy storage and management system design optimization for a photovoltaic integrated low-energy building," Energy, Elsevier, vol. 190(C).
    10. 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.
    11. Imene Khenissi & Tawfik Guesmi & Ismail Marouani & Badr M. Alshammari & Khalid Alqunun & Saleh Albadran & Salem Rahmani & Rafik Neji, 2023. "Energy Management Strategy for Optimal Sizing and Siting of PVDG-BES Systems under Fixed and Intermittent Load Consumption Profile," Sustainability, MDPI, vol. 15(2), pages 1-28, January.
    12. Jiyoung Eum & Yongki Kim, 2020. "Analysis on Operation Modes of Residential BESS with Balcony-PV for Apartment Houses in Korea," Sustainability, MDPI, vol. 13(1), pages 1-9, December.
    13. Nicola Blasuttigh & Simone Negri & Alessandro Massi Pavan & Enrico Tironi, 2023. "Optimal Sizing and Environ-Economic Analysis of PV-BESS Systems for Jointly Acting Renewable Self-Consumers," Energies, MDPI, vol. 16(3), pages 1-25, January.
    14. Abdulkarim Ahmouda & Daniel T. Gladwin, 2023. "Enhanced Dynamic Control Strategy for Stacked Dynamic Regulation Frequency Response Services in Battery Energy Storage Systems," Energies, MDPI, vol. 16(23), pages 1-21, November.
    15. Zhang, Hao & Tong, Xiangqian & Yin, Jun & Blaabjerg, Frede, 2023. "Neural network-aided 4-DF global efficiency optimal control for the DAB converter based on the comprehensive loss model," Energy, Elsevier, vol. 262(PA).
    16. Giacomo Talluri & Gabriele Maria Lozito & Francesco Grasso & Carlos Iturrino Garcia & Antonio Luchetta, 2021. "Optimal Battery Energy Storage System Scheduling within Renewable Energy Communities," Energies, MDPI, vol. 14(24), pages 1-23, December.
    17. Reimuth, Andrea & Locherer, Veronika & Danner, Martin & Mauser, Wolfram, 2020. "How do changes in climate and consumption loads affect residential PV coupled battery energy systems?," Energy, Elsevier, vol. 198(C).
    18. Freitas Gomes, Icaro Silvestre & Perez, Yannick & Suomalainen, Emilia, 2021. "Rate design with distributed energy resources and electric vehicles: A Californian case study," Energy Economics, Elsevier, vol. 102(C).
    19. Henrik Zsiborács & András Vincze & Gábor Pintér & Nóra Hegedűsné Baranyai, 2023. "A Comparative Examination of the Electricity Saving Potentials of Direct Residential PV Energy Use in European Countries," Sustainability, MDPI, vol. 15(8), pages 1-19, April.
    20. Nina Munzke & Felix Büchle & Anna Smith & Marc Hiller, 2021. "Influence of Efficiency, Aging and Charging Strategy on the Economic Viability and Dimensioning of Photovoltaic Home Storage Systems," Energies, MDPI, vol. 14(22), pages 1-46, November.

    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:16:y:2023:i:10:p:4132-:d:1148606. 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.