IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i15p3946-d393229.html
   My bibliography  Save this article

Using Load Forecasting to Control Domestic Battery Energy Storage Systems

Author

Listed:
  • Juha Koskela

    (Unit of Electrical Engineering, Tampere University, FI-33014 Tampere, Finland)

  • Antti Mutanen

    (Unit of Electrical Engineering, Tampere University, FI-33014 Tampere, Finland)

  • Pertti Järventausta

    (Unit of Electrical Engineering, Tampere University, FI-33014 Tampere, Finland)

Abstract

The profitability of domestic battery energy storage systems has been poor and this is the main barrier to their general use. It is possible to increase profitability by using multiple control targets. Market price-based electricity contracts and power-based distribution tariffs alongside storage of surplus photovoltaic energy make it possible to have multiple control targets in domestic use. The battery control system needs accurate load forecasting so that its capacity can be utilized in an optimally economical way. This study shows how the accuracy of short-term load forecasting affects cost savings by using batteries. The study was conducted by simulating actual customers’ load profiles with batteries utilized for different control targets. The results of the study show that knowledge of customers’ load profiles (i.e., when high and low peaks happen) is more important that actual forecast accuracy, as measured by error criteria. In many cases, the load forecast based on customers’ historical load data and the outdoor temperature is sufficient to be used in the control system, but in some cases a more accurate forecast can give better cost savings.

Suggested Citation

  • Juha Koskela & Antti Mutanen & Pertti Järventausta, 2020. "Using Load Forecasting to Control Domestic Battery Energy Storage Systems," Energies, MDPI, vol. 13(15), pages 1-20, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:3946-:d:393229
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/15/3946/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/15/3946/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schram, Wouter L. & Lampropoulos, Ioannis & van Sark, Wilfried G.J.H.M., 2018. "Photovoltaic systems coupled with batteries that are optimally sized for household self-consumption: Assessment of peak shaving potential," Applied Energy, Elsevier, vol. 223(C), pages 69-81.
    2. Christoph Goebel & Vicky Cheng & Hans-Arno Jacobsen, 2017. "Profitability of Residential Battery Energy Storage Combined with Solar Photovoltaics," Energies, MDPI, vol. 10(7), pages 1-17, July.
    3. Karjalainen, Sami & Ahvenniemi, Hannele, 2019. "Pleasure is the profit - The adoption of solar PV systems by households in Finland," Renewable Energy, Elsevier, vol. 133(C), pages 44-52.
    4. Hector Beltran & Pablo Ayuso & Emilio Pérez, 2020. "Lifetime Expectancy of Li-Ion Batteries used for Residential Solar Storage," Energies, MDPI, vol. 13(3), pages 1-18, January.
    5. Hirvonen, Janne & Kayo, Genku & Cao, Sunliang & Hasan, Ala & Sirén, Kai, 2015. "Renewable energy production support schemes for residential-scale solar photovoltaic systems in Nordic conditions," Energy Policy, Elsevier, vol. 79(C), pages 72-86.
    6. Jiménez-Castillo, G. & Muñoz-Rodriguez, F.J. & Rus-Casas, C. & Talavera, D.L., 2020. "A new approach based on economic profitability to sizing the photovoltaic generator in self-consumption systems without storage," Renewable Energy, Elsevier, vol. 148(C), pages 1017-1033.
    7. Litjens, G.B.M.A. & Worrell, E. & van Sark, W.G.J.H.M., 2018. "Assessment of forecasting methods on performance of photovoltaic-battery systems," Applied Energy, Elsevier, vol. 221(C), pages 358-373.
    8. Vartiainen, Eero, 2000. "A new approach to estimating the diffuse irradiance on inclined surfaces," Renewable Energy, Elsevier, vol. 20(1), pages 45-64.
    9. Holger C. Hesse & Rodrigo Martins & Petr Musilek & Maik Naumann & Cong Nam Truong & Andreas Jossen, 2017. "Economic Optimization of Component Sizing for Residential Battery Storage Systems," Energies, MDPI, vol. 10(7), pages 1-19, June.
    10. Pekka Koponen & Jussi Ikäheimo & Juha Koskela & Christina Brester & Harri Niska, 2020. "Assessing and Comparing Short Term Load Forecasting Performance," Energies, MDPI, vol. 13(8), pages 1-17, April.
    11. Litjens, G.B.M.A. & Worrell, E. & van Sark, W.G.J.H.M., 2018. "Economic benefits of combining self-consumption enhancement with frequency restoration reserves provision by photovoltaic-battery systems," Applied Energy, Elsevier, vol. 223(C), pages 172-187.
    12. 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.
    13. Matthias Pilz & Omar Ellabban & Luluwah Al-Fagih, 2019. "On Optimal Battery Sizing for Households Participating in Demand-Side Management Schemes," Energies, MDPI, vol. 12(18), pages 1-12, September.
    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. Juha Koskela & Pertti Järventausta, 2023. "Demand Response with Electrical Heating in Detached Houses in Finland and Comparison with BESS for Increasing PV Self-Consumption," Energies, MDPI, vol. 16(1), pages 1-25, January.

    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. 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.
    2. Ma, Tao & Zhang, Yijie & Gu, Wenbo & Xiao, Gang & Yang, Hongxing & Wang, Shuxiao, 2022. "Strategy comparison and techno-economic evaluation of a grid-connected photovoltaic-battery system," Renewable Energy, Elsevier, vol. 197(C), pages 1049-1060.
    3. Iflah Javeed & Rahmat Khezri & Amin Mahmoudi & Amirmehdi Yazdani & G. M. Shafiullah, 2021. "Optimal Sizing of Rooftop PV and Battery Storage for Grid-Connected Houses Considering Flat and Time-of-Use Electricity Rates," Energies, MDPI, vol. 14(12), pages 1-19, June.
    4. Brodnicke, Linda & Gabrielli, Paolo & Sansavini, Giovanni, 2023. "Impact of policies on residential multi-energy systems for consumers and prosumers," Applied Energy, Elsevier, vol. 344(C).
    5. Sofiane Kichou & Nikolaos Skandalos & Petr Wolf, 2020. "Evaluation of Photovoltaic and Battery Storage Effects on the Load Matching Indicators Based on Real Monitored Data," Energies, MDPI, vol. 13(11), pages 1-20, May.
    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. 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).
    8. 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.
    9. Mulleriyawage, U.G.K. & Shen, W.X., 2021. "Impact of demand side management on optimal sizing of residential battery energy storage system," Renewable Energy, Elsevier, vol. 172(C), pages 1250-1266.
    10. 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.
    11. 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.
    12. Roberts, Mike B. & Bruce, Anna & MacGill, Iain, 2019. "Impact of shared battery energy storage systems on photovoltaic self-consumption and electricity bills in apartment buildings," Applied Energy, Elsevier, vol. 245(C), pages 78-95.
    13. Chatzisideris, Marios D. & Ohms, Pernille K. & Espinosa, Nieves & Krebs, Frederik C. & Laurent, Alexis, 2019. "Economic and environmental performances of organic photovoltaics with battery storage for residential self-consumption," Applied Energy, Elsevier, vol. 256(C).
    14. Tervo, Eric & Agbim, Kenechi & DeAngelis, Freddy & Hernandez, Jeffrey & Kim, Hye Kyung & Odukomaiya, Adewale, 2018. "An economic analysis of residential photovoltaic systems with lithium ion battery storage in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 1057-1066.
    15. Alejandro Pena-Bello & Edward Barbour & Marta C. Gonzalez & Selin Yilmaz & Martin K. Patel & David Parra, 2020. "How Does the Electricity Demand Profile Impact the Attractiveness of PV-Coupled Battery Systems Combining Applications?," Energies, MDPI, vol. 13(15), pages 1-19, August.
    16. Huuki, Hannu & Karhinen, Santtu & Böök, Herman & Ding, Chao & Ruokamo, Enni, 2021. "Residential solar power profitability with thermal energy storage and carbon-corrected electricity prices," Utilities Policy, Elsevier, vol. 68(C).
    17. Lucas Deotti & Wanessa Guedes & Bruno Dias & Tiago Soares, 2020. "Technical and Economic Analysis of Battery Storage for Residential Solar Photovoltaic Systems in the Brazilian Regulatory Context," Energies, MDPI, vol. 13(24), pages 1-30, December.
    18. Han, Xuejiao & Garrison, Jared & Hug, Gabriela, 2022. "Techno-economic analysis of PV-battery systems in Switzerland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    19. Maaike Braat & Odysseas Tsafarakis & Ioannis Lampropoulos & Joris Besseling & Wilfried G. J. H. M. van Sark, 2021. "Cost-Effective Increase of Photovoltaic Electricity Feed-In on Congested Transmission Lines: A Case Study of The Netherlands," Energies, MDPI, vol. 14(10), pages 1-21, May.
    20. Aniello, Gianmarco & Bertsch, Valentin, 2023. "Shaping the energy transition in the residential sector: Regulatory incentives for aligning household and system perspectives," Applied Energy, Elsevier, vol. 333(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:gam:jeners:v:13:y:2020:i:15:p:3946-:d:393229. 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.