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Uncovering relationships between environmental metrics in the multi-objective optimization of energy systems: A case study of a thermal solar Rankine reverse osmosis desalination plant

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  • Antipova, Ekaterina
  • Boer, Dieter
  • Cabeza, Luisa F.
  • Guillén-Gosálbez, Gonzalo
  • Jiménez, Laureano

Abstract

Multi-objective optimization (MOO) is increasingly being used in a wide variety of applications to identify alternatives that balance several criteria. The energy sector is not an exception to this trend. Unfortunately, the complexity of MOO grows with the number of environmental objectives. This limitation is critical in energy systems, in which several environmental criteria are typically used to assess the merits of a given technology. In this paper, we investigate the use of a rigorous dimensionality reduction method for reducing the complexity of MOO as applied to an energy system (i.e., a solar Rankine cycle coupled with reverse osmosis and thermal storage). Instead of using an aggregated environmental metric, a common approach for reducing the number of environmental objectives in MOO, we propose to optimize the system in a reduced search space of objectives that fully describe its performance and which results from eliminating redundant criteria from the analysis. Numerical results show that it is possible to reduce the problem complexity by omitting redundant environmental indicators from the optimization.

Suggested Citation

  • Antipova, Ekaterina & Boer, Dieter & Cabeza, Luisa F. & Guillén-Gosálbez, Gonzalo & Jiménez, Laureano, 2013. "Uncovering relationships between environmental metrics in the multi-objective optimization of energy systems: A case study of a thermal solar Rankine reverse osmosis desalination plant," Energy, Elsevier, vol. 51(C), pages 50-60.
    • Handle: RePEc:eee:energy:v:51:y:2013:i:c:p:50-60
    DOI: 10.1016/j.energy.2013.01.001
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    References listed on IDEAS

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    Cited by:

    1. He, Wei & Wang, Yang & Shaheed, Mohammad Hasan, 2015. "Stand-alone seawater RO (reverse osmosis) desalination powered by PV (photovoltaic) and PRO (pressure retarded osmosis)," Energy, Elsevier, vol. 86(C), pages 423-435.
    2. Mallikarjun, Sreekanth & Lewis, Herbert F., 2014. "Energy technology allocation for distributed energy resources: A strategic technology-policy framework," Energy, Elsevier, vol. 72(C), pages 783-799.
    3. Samaké, Oumar & Galanis, Nicolas & Sorin, Mikhail, 2014. "Thermodynamic study of multi-effect thermal vapour-compression desalination systems," Energy, Elsevier, vol. 72(C), pages 69-79.

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