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Flower Greenhouse Energy Management to Offer Local Flexibility Markets

Author

Listed:
  • Juan Sebastian Roncancio

    (Department of Electronics Engineering, Pontificia Universidad Javeriana, Bogotá 110321, Colombia
    These authors contributed equally to this work.)

  • José Vuelvas

    (Department of Electronics Engineering, Pontificia Universidad Javeriana, Bogotá 110321, Colombia
    These authors contributed equally to this work.)

  • Diego Patino

    (Department of Electronics Engineering, Pontificia Universidad Javeriana, Bogotá 110321, Colombia
    These authors contributed equally to this work.)

  • Carlos Adrián Correa-Flórez

    (Department of Electronics Engineering, Pontificia Universidad Javeriana, Bogotá 110321, Colombia
    These authors contributed equally to this work.)

Abstract

Electricity access is strongly linked to human growth. Despite this, a portion of the world’s population remains without access to energy. In Colombia, rural communities have energy challenges due to the National Interconnected System’s (NIS) lack of quality and stability. It is common to find that energy services in such locations are twice as costly as in cities and are only accessible for a few hours every day due to grid overload. Implementing market mechanisms that enable handling imbalances through the flexible load management of main loads within the grid is vital for improving the rural power grid’s quality. In this research, the energy from the rural grid is primarily employed to power a heating, ventilation, and air-conditioning (HVAC) system that chills flowers for future commerce. This load has significant consumption within the rural grid, so handling HVAC consumption in a suitable form can support the grid to avoid imbalances and improve the end-user access to energy. The primary responsibilities of the flower greenhouse operator are to reduce energy costs, maximize flexibility, and maintain a proper indoor temperature. Accordingly, this research proposes a flexible energy market based on the bi-level mixed-integer linear programming problem (Bi-MILP), involving the Agricultural Demand Response Aggregator (ADRA) and the flower greenhouse. ADRA is responsible for assuring the grid’s stability and quality and developing pricing plans that promote flexibility. A flower greenhouse in Colombia’s Boyacá department is used as an application for this research. This study looked at the HVAC’s flexibility under three different pricing schemes (fixed, time-of-use, and hourly) and graded the flower greenhouse’s flexibility as a reliable system.

Suggested Citation

  • Juan Sebastian Roncancio & José Vuelvas & Diego Patino & Carlos Adrián Correa-Flórez, 2022. "Flower Greenhouse Energy Management to Offer Local Flexibility Markets," Energies, MDPI, vol. 15(13), pages 1-20, June.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4572-:d:845465
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    References listed on IDEAS

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    1. S. Dempe & F. Mefo Kue, 2017. "Solving discrete linear bilevel optimization problems using the optimal value reformulation," Journal of Global Optimization, Springer, vol. 68(2), pages 255-277, June.
    2. Golmohamadi, Hessam & Asadi, Amin, 2020. "A multi-stage stochastic energy management of responsive irrigation pumps in dynamic electricity markets," Applied Energy, Elsevier, vol. 265(C).
    3. Laur, Arnaud & Nieto-Martin, Jesus & Bunn, Derek W. & Vicente-Pastor, Alejandro, 2020. "Optimal procurement of flexibility services within electricity distribution networks," European Journal of Operational Research, Elsevier, vol. 285(1), pages 34-47.
    4. Jerome Bracken & James T. McGill, 1973. "Mathematical Programs with Optimization Problems in the Constraints," Operations Research, INFORMS, vol. 21(1), pages 37-44, February.
    5. Soares, Inês & Alves, Maria João & Antunes, Carlos Henggeler, 2020. "Designing time-of-use tariffs in electricity retail markets using a bi-level model – Estimating bounds when the lower level problem cannot be exactly solved," Omega, Elsevier, vol. 93(C).
    6. Pol Olivella-Rosell & Pau Lloret-Gallego & Íngrid Munné-Collado & Roberto Villafafila-Robles & Andreas Sumper & Stig Ødegaard Ottessen & Jayaprakash Rajasekharan & Bernt A. Bremdal, 2018. "Local Flexibility Market Design for Aggregators Providing Multiple Flexibility Services at Distribution Network Level," Energies, MDPI, vol. 11(4), pages 1-19, April.
    7. Du, Chenqiu & Li, Baizhan & Yu, Wei & Liu, Hong & Yao, Runming, 2019. "Energy flexibility for heating and cooling based on seasonal occupant thermal adaptation in mixed-mode residential buildings," Energy, Elsevier, vol. 189(C).
    8. McPherson, Madeleine & Stoll, Brady, 2020. "Demand response for variable renewable energy integration: A proposed approach and its impacts," Energy, Elsevier, vol. 197(C).
    9. Aya Yoshida & Panate Manomivibool & Tomohiro Tasaki & Pattayaporn Unroj, 2020. "Qualitative Study on Electricity Consumption of Urban and Rural Households in Chiang Rai, Thailand, with a Focus on Ownership and Use of Air Conditioners," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    10. Horstink, Lanka & Wittmayer, Julia M. & Ng, Kiat, 2021. "Pluralising the European energy landscape: Collective renewable energy prosumers and the EU's clean energy vision," Energy Policy, Elsevier, vol. 153(C).
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