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Minimizing delivered energy and life cycle cost using Graphical script: An office building retrofitting case

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  • Rabani, Mehrdad
  • Bayera Madessa, Habtamu
  • Mohseni, Omid
  • Nord, Natasa

Abstract

Selecting the most cost-effective retrofit interventions to achieve a significant reduction of energy use and CO2 emissions in the building sectors is challenging, because a large number of possible retrofitting options should be analyzed. To remedy this and simplify the decision-making process, optimization may be adopted. This study developed an iterative optimization process by coupling a dynamic energy simulation software, IDA-ICE, and a generic optimization engine, GenOpt, through the Graphical Script module. This optimization process was applied to an office building located in the Nordic climate. Two scenarios were considered. In the first scenario, the optimal designs were achieved by minimizing the life cycle cost of retrofitting measures over a span of 60 years, while the building energy use for space heating and cooling were the constraints to satisfy the Norwegian passive house standard level. In the second scenario, the delivered energy to the building was minimized and the life cycle cost of retrofitting was limited to a predefined value. Two different space heating systems were used, radiator space heating and all-air systems. The optimization parameters included building envelope elements and heating and cooling set points (in the case of all-air system). The results showed that the specific life cycle cost could be reduced up to 11%, while the energy use for the space heating and space cooling was met according to the Norwegian passive house standards. The delivered energy to the building could be decreased by up to 55% in the second scenario.

Suggested Citation

  • Rabani, Mehrdad & Bayera Madessa, Habtamu & Mohseni, Omid & Nord, Natasa, 2020. "Minimizing delivered energy and life cycle cost using Graphical script: An office building retrofitting case," Applied Energy, Elsevier, vol. 268(C).
    • Handle: RePEc:eee:appene:v:268:y:2020:i:c:s0306261920304414
    DOI: 10.1016/j.apenergy.2020.114929
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    Cited by:

    1. Majid Baseer & Christian Ghiaus & Roxane Viala & Ninon Gauthier & Souleymane Daniel, 2023. "pELECTRE-Tri: Probabilistic ELECTRE-Tri Method—Application for the Energy Renovation of Buildings," Energies, MDPI, vol. 16(14), pages 1-25, July.
    2. Sameh Monna & Adel Juaidi & Ramez Abdallah & Aiman Albatayneh & Patrick Dutournie & Mejdi Jeguirim, 2021. "Towards Sustainable Energy Retrofitting, a Simulation for Potential Energy Use Reduction in Residential Buildings in Palestine," Energies, MDPI, vol. 14(13), pages 1-13, June.
    3. Mehrdad Rabani & Habtamu Bayera Madessa & Natasa Nord, 2021. "Building Retrofitting through Coupling of Building Energy Simulation-Optimization Tool with CFD and Daylight Programs," Energies, MDPI, vol. 14(8), pages 1-23, April.
    4. Naji, Sareh & Aye, Lu & Noguchi, Masa, 2021. "Multi-objective optimisations of envelope components for a prefabricated house in six climate zones," Applied Energy, Elsevier, vol. 282(PA).
    5. Gabriele Battista & Emanuele de Lieto Vollaro & Andrea Vallati & Roberto de Lieto Vollaro, 2023. "Technical–Financial Feasibility Study of a Micro-Cogeneration System in the Buildings in Italy," Energies, MDPI, vol. 16(14), pages 1-15, July.
    6. Margarita-Niki Assimakopoulos & Dimitra Papadaki & Francesco Tariello & Giuseppe Peter Vanoli, 2020. "A Holistic Approach for Energy Renovation of the Town Hall Building in a Typical Small City of Southern Italy," Sustainability, MDPI, vol. 12(18), pages 1-36, September.
    7. Di Natale, L. & Svetozarevic, B. & Heer, P. & Jones, C.N., 2022. "Physically Consistent Neural Networks for building thermal modeling: Theory and analysis," Applied Energy, Elsevier, vol. 325(C).
    8. Mostafa M. Saad & Ramanunni Parakkal Menon & Ursula Eicker, 2023. "Supporting Decision Making for Building Decarbonization: Developing Surrogate Models for Multi-Criteria Building Retrofitting Analysis," Energies, MDPI, vol. 16(16), pages 1-28, August.
    9. Jorge Lopes & Rui A. F. Oliveira & Nerija Banaitiene & Audrius Banaitis, 2021. "A Staged Approach for Energy Retrofitting an Old Service Building: A Cost-Optimal Assessment," Energies, MDPI, vol. 14(21), pages 1-23, October.
    10. Luo, Xiaojun & Oyedele, Lukumon O., 2022. "Integrated life-cycle optimisation and supply-side management for building retrofitting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).

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