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Analytical approach for maximizing self-consumption of nearly zero energy buildings- case study: Baltic region

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  • Ahmadiahangar, Roya
  • Karami, Hossein
  • Husev, Oleksandr
  • Blinov, Andrei
  • Rosin, Argo
  • Jonaitis, Audrius
  • Sanjari, Mohammad Javad

Abstract

Deployment of photovoltaic (PV) systems in nearly zero energy buildings is rapidly increasing, negatively affecting grid stability and power quality. Therefore, many utilities favour policies that limit the power injection to the grid and increase PV self-consumption. A battery energy storage system (BESS) could constitute a possible solution. However, BESS optimal scheduling to increase PV self-consumption and minimize potential purchased energy from the grid in the situation of non-supported demand by PV is a non-linear multi-variable decision-making problem. Previous works have used optimization algorithms to overcome this problem. Due to these algorithms' nature, instead of global optimum scheduling, just near-optimal results are achieved and the consistency of the results, which is essential especially for sensitivity analysis is not guaranteed. The main goal of this paper is to present an analytical approach to maximize the PV self-consumption and optimize BESS scheduling to minimize electricity costs for a two-level electricity tariff energy system. The effectiveness of the proposed analytical scheduling of the BESS-PV energy system is demonstrated through simulation on real data of a Nearly Zero Energy Building (nZEB) in the Baltic region, Estonia, as the case study. Compared with alternative optimization algorithms, the proposed approach leads to a significant reduction in the purchased energy from the grid, while maximizing PV self-consumption and also noticeably reducing computation complexity and time for reaching the global solution.

Suggested Citation

  • Ahmadiahangar, Roya & Karami, Hossein & Husev, Oleksandr & Blinov, Andrei & Rosin, Argo & Jonaitis, Audrius & Sanjari, Mohammad Javad, 2022. "Analytical approach for maximizing self-consumption of nearly zero energy buildings- case study: Baltic region," Energy, Elsevier, vol. 238(PB).
    • Handle: RePEc:eee:energy:v:238:y:2022:i:pb:s0360544221019927
    DOI: 10.1016/j.energy.2021.121744
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    Cited by:

    1. Ghasemi-Marzbali, Ali & Shafiei, Mohammad & Ahmadiahangar, Roya, 2023. "Day-ahead economical planning of multi-vector energy district considering demand response program," Applied Energy, Elsevier, vol. 332(C).
    2. Zhang, Jiarui & Mu, Yunfei & Li, Jie & Tong, Yueheng & Yang, Wei, 2024. "Energy performance of a residential zero energy building energy system – R-CELLS at solar decathlon China 2022," Applied Energy, Elsevier, vol. 371(C).
    3. Pablo Carrasco Ortega & Pablo Durán Gómez & Julio César Mérida Sánchez & Fernando Echevarría Camarero & Ángel Á. Pardiñas, 2023. "Battery Energy Storage Systems for the New Electricity Market Landscape: Modeling, State Diagnostics, Management, and Viability—A Review," Energies, MDPI, vol. 16(17), pages 1-51, August.
    4. Shivanaganna, Nethravathi & Shivamurthy, K.P. & Boddapati, Venkatesh, 2024. "Optimal strategy for transition into nearly zero energy residential buildings: A case study," Energy, Elsevier, vol. 307(C).

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