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Two-Stage Multi-Objective Meta-Heuristics for Environmental and Cost-Optimal Energy Refurbishment at District Level

Author

Listed:
  • Diana Manjarres

    (Tecnalia Research and Innovation, Parque Tecnológico de Bizkaia, 48160 Derio, Spain)

  • Lara Mabe

    (Tecnalia Research and Innovation, Parque Tecnológico de Bizkaia, 48160 Derio, Spain)

  • Xabat Oregi

    (Architecture Department, University of the Basque Country (UPV/EHU), 20018 Donostia, Spain)

  • Itziar Landa-Torres

    (Petronor Innovación S.L, 48550 Muskiz, Spain)

Abstract

Energy efficiency and environmental performance optimization at the district level are following an upward trend mostly triggered by minimizing the Global Warming Potential (GWP) to 20% by 2020 and 40% by 2030 settled by the European Union (EU) compared with 1990 levels. This paper advances over the state of the art by proposing two novel multi-objective algorithms, named Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Harmony Search (MOHS), aimed at achieving cost-effective energy refurbishment scenarios and allowing at district level the decision-making procedure. This challenge is not trivial since the optimisation process must provide feasible solutions for a simultaneous environmental and economic assessment at district scale taking into consideration highly demanding real-based constraints regarding district and buildings’ specific requirements. Consequently, in this paper, a two-stage optimization methodology is proposed in order to reduce the energy demand and fossil fuel consumption with an affordable investment cost at building level and minimize the total payback time while minimizing the GWP at district level. Aimed at demonstrating the effectiveness of the proposed two-stage multi-objective approaches, this work presents simulation results at two real district case studies in Donostia-San Sebastian (Spain) for which up to a 30% of reduction of GWP at district level is obtained for a Payback Time (PT) of 2–3 years.

Suggested Citation

  • Diana Manjarres & Lara Mabe & Xabat Oregi & Itziar Landa-Torres, 2019. "Two-Stage Multi-Objective Meta-Heuristics for Environmental and Cost-Optimal Energy Refurbishment at District Level," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1495-:d:213126
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    References listed on IDEAS

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