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Evaluation and assessment of demand response potential applied to the meat industry

Author

Listed:
  • Alcázar-Ortega, Manuel
  • Álvarez-Bel, Carlos
  • Escrivá-Escrivá, Guillermo
  • Domijan, Alexander

Abstract

Demand response has proven to be a useful mechanism that produces important benefits for both the customer and the power system. In the context of an increasingly competitive electricity market, where prices are constantly rising and the presence of renewable energy resources is gaining prominence, this paper analyzes the flexibility potential of customers in the meat industry, based on the management of the most energy consuming process in this type of segment: cooling production and distribution.

Suggested Citation

  • Alcázar-Ortega, Manuel & Álvarez-Bel, Carlos & Escrivá-Escrivá, Guillermo & Domijan, Alexander, 2012. "Evaluation and assessment of demand response potential applied to the meat industry," Applied Energy, Elsevier, vol. 92(C), pages 84-91.
    • Handle: RePEc:eee:appene:v:92:y:2012:i:c:p:84-91
    DOI: 10.1016/j.apenergy.2011.10.040
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    References listed on IDEAS

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    1. Ramírez, C.A. & Patel, M. & Blok, K., 2006. "How much energy to process one pound of meat? A comparison of energy use and specific energy consumption in the meat industry of four European countries," Energy, Elsevier, vol. 31(12), pages 2047-2063.
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    Cited by:

    1. Alcázar-Ortega, Manuel & Álvarez-Bel, Carlos & Domijan, Alexander & Escrivá-Escrivá, Guillermo, 2012. "Economic and environmental evaluation of customers' flexibility participating in operation markets: Application to the meat industry," Energy, Elsevier, vol. 41(1), pages 368-379.
    2. Haisheng Tan & Peipei You & Sitao Li & Chengren Li & Chao Zhang & Hailang Zhou & Huicai Wang & Wenzhe Zhang & Huiru Zhao, 2024. "Towards a Sustainable Power System: A Three-Stage Demand Response Potential Evaluation Model," Sustainability, MDPI, vol. 16(5), pages 1-21, February.
    3. Kanchiralla, Fayas Malik & Jalo, Noor & Thollander, Patrik & Andersson, Maria & Johnsson, Simon, 2021. "Energy use categorization with performance indicators for the food industry and a conceptual energy planning framework," Applied Energy, Elsevier, vol. 304(C).
    4. Li, Kangping & Li, Zhenghui & Huang, Chunyi & Ai, Qian, 2024. "Online transfer learning-based residential demand response potential forecasting for load aggregator," Applied Energy, Elsevier, vol. 358(C).
    5. Mirade, Pierre-Sylvain & Perret, Bruno & Guillemin, Hervé & Picque, Daniel & Desserre, Béatrice & Montel, Marie-Christine & Corrieu, Georges, 2012. "Quantifying energy savings during cheese ripening after implementation of sequential air ventilation in an industrial cheesemaking plant," Energy, Elsevier, vol. 46(1), pages 248-258.
    6. Ottesen, Stig Odegaard & Tomasgard, Asgeir, 2015. "A stochastic model for scheduling energy flexibility in buildings," Energy, Elsevier, vol. 88(C), pages 364-376.
    7. Mingtao Yao & Zhaoguang Hu & Froylan Sifuentes & Ning Zhang, 2015. "Integrated Power Management of Conventional Units and Industrial Loads in China’s Ancillary Services Scheduling," Energies, MDPI, vol. 8(5), pages 1-23, May.
    8. Leinauer, Christina & Schott, Paul & Fridgen, Gilbert & Keller, Robert & Ollig, Philipp & Weibelzahl, Martin, 2022. "Obstacles to demand response: Why industrial companies do not adapt their power consumption to volatile power generation," Energy Policy, Elsevier, vol. 165(C).
    9. David Ribó-Pérez & Luis Larrosa-López & David Pecondón-Tricas & Manuel Alcázar-Ortega, 2021. "A Critical Review of Demand Response Products as Resource for Ancillary Services: International Experience and Policy Recommendations," Energies, MDPI, vol. 14(4), pages 1-25, February.
    10. Yan Wang & Congxianzi Pei & Qiushuo Li & Jingbang Li & Deng Pan & Ciwei Gao, 2020. "Flow Shop Providing Frequency Regulation Service in Electricity Market," Energies, MDPI, vol. 13(7), pages 1-15, April.
    11. Ribó-Pérez, D. & Carrión, A. & Rodríguez García, J. & Álvarez Bel, C., 2021. "Ex-post evaluation of Interruptible Load programs with a system optimisation perspective," Applied Energy, Elsevier, vol. 303(C).
    12. Rodríguez-García, Javier & Álvarez-Bel, Carlos & Carbonell-Carretero, José-Francisco & Alcázar-Ortega, Manuel & Peñalvo-López, Elisa, 2016. "A novel tool for the evaluation and assessment of demand response activities in the industrial sector," Energy, Elsevier, vol. 113(C), pages 1136-1146.
    13. Montuori, Lina & Alcázar-Ortega, Manuel, 2021. "Demand response strategies for the balancing of natural gas systems: Application to a local network located in The Marches (Italy)," Energy, Elsevier, vol. 225(C).

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