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ExRET-Opt: An automated exergy/exergoeconomic simulation framework for building energy retrofit analysis and design optimisation

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  • García Kerdan, Iván
  • Raslan, Rokia
  • Ruyssevelt, Paul
  • Morillón Gálvez, David

Abstract

Energy simulation tools have a major role in the assessment of building energy retrofit (BER) measures. Exergoeconomic analysis and optimisation is a common practice in sectors such as the power generation and chemical processes, aiding engineers to obtain more energy-efficient and cost-effective energy systems designs. ExRET-Opt, a retrofit-oriented modular-based dynamic simulation framework has been developed by embedding a comprehensive exergy/exergoeconomic calculation method into a typical open-source building energy simulation tool (EnergyPlus). The aim of this paper is to show the decomposition of ExRET-Opt by presenting modules, submodules and subroutines used for the framework’s development as well as verify the outputs with existing research data. In addition, the possibility to perform multi-objective optimisation analysis based on genetic-algorithms combined with multi-criteria decision making methods was included within the simulation framework. This addition could potentiate BER design teams to perform quick exergy/exergoeconomic optimisation, in order to find opportunities for thermodynamic improvements along the building’s active and passive energy systems. The enhanced simulation framework is tested using a primary school building as a case study. Results demonstrate that the proposed simulation framework provide users with thermodynamic efficient and cost-effective designs, even under tight thermodynamic and economic constraints, suggesting its use in everyday BER practice.

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  • García Kerdan, Iván & Raslan, Rokia & Ruyssevelt, Paul & Morillón Gálvez, David, 2017. "ExRET-Opt: An automated exergy/exergoeconomic simulation framework for building energy retrofit analysis and design optimisation," Applied Energy, Elsevier, vol. 192(C), pages 33-58.
    • Handle: RePEc:eee:appene:v:192:y:2017:i:c:p:33-58
    DOI: 10.1016/j.apenergy.2017.02.006
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    1. Lazzaretto, Andrea & Tsatsaronis, George, 2006. "SPECO: A systematic and general methodology for calculating efficiencies and costs in thermal systems," Energy, Elsevier, vol. 31(8), pages 1257-1289.
    2. Hong, Tianzhen & Piette, Mary Ann & Chen, Yixing & Lee, Sang Hoon & Taylor-Lange, Sarah C. & Zhang, Rongpeng & Sun, Kaiyu & Price, Phillip, 2015. "Commercial Building Energy Saver: An energy retrofit analysis toolkit," Applied Energy, Elsevier, vol. 159(C), pages 298-309.
    3. Wang, Xurong & Dai, Yiping, 2016. "Exergoeconomic analysis of utilizing the transcritical CO2 cycle and the ORC for a recompression supercritical CO2 cycle waste heat recovery: A comparative study," Applied Energy, Elsevier, vol. 170(C), pages 193-207.
    4. Ucar, Aynur, 2010. "Thermoeconomic analysis method for optimization of insulation thickness for the four different climatic regions of Turkey," Energy, Elsevier, vol. 35(4), pages 1854-1864.
    5. Gasparatos, Alexandros & El-Haram, Mohamed & Horner, Malcolm, 2009. "Assessing the sustainability of the UK society using thermodynamic concepts: Part 1," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 1074-1081, June.
    6. Rocco, M.V. & Colombo, E. & Sciubba, E., 2014. "Advances in exergy analysis: a novel assessment of the Extended Exergy Accounting method," Applied Energy, Elsevier, vol. 113(C), pages 1405-1420.
    7. Baghsheikhi, Mostafa & Sayyaadi, Hoseyn, 2016. "Real-time exergoeconomic optimization of a steam power plant using a soft computing-fuzzy inference system," Energy, Elsevier, vol. 114(C), pages 868-884.
    8. Kohl, Thomas & Teles, Moises & Melin, Kristian & Laukkanen, Timo & Järvinen, Mika & Park, Song Won & Guidici, Reinaldo, 2015. "Exergoeconomic assessment of CHP-integrated biomass upgrading," Applied Energy, Elsevier, vol. 156(C), pages 290-305.
    9. García Kerdan, Iván & Raslan, Rokia & Ruyssevelt, Paul, 2016. "An exergy-based multi-objective optimisation model for energy retrofit strategies in non-domestic buildings," Energy, Elsevier, vol. 117(P2), pages 506-522.
    10. Dong, Ruifeng & Yu, Yunsong & Zhang, Zaoxiao, 2014. "Simultaneous optimization of integrated heat, mass and pressure exchange network using exergoeconomic method," Applied Energy, Elsevier, vol. 136(C), pages 1098-1109.
    11. Querol, E. & Gonzalez-Regueral, B. & Ramos, A. & Perez-Benedito, J.L., 2011. "Novel application for exergy and thermoeconomic analysis of processes simulated with Aspen Plus®," Energy, Elsevier, vol. 36(2), pages 964-974.
    12. Ghannadzadeh, Ali & Thery-Hetreux, Raphaële & Baudouin, Olivier & Baudet, Philippe & Floquet, Pascal & Joulia, Xavier, 2012. "General methodology for exergy balance in ProSimPlus® process simulator," Energy, Elsevier, vol. 44(1), pages 38-59.
    13. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    14. Mosaffa, A.H. & Garousi Farshi, L., 2016. "Exergoeconomic and environmental analyses of an air conditioning system using thermal energy storage," Applied Energy, Elsevier, vol. 162(C), pages 515-526.
    15. Baldvinsson, Ivar & Nakata, Toshihiko, 2014. "A comparative exergy and exergoeconomic analysis of a residential heat supply system paradigm of Japan and local source based district heating system using SPECO (specific exergy cost) method," Energy, Elsevier, vol. 74(C), pages 537-554.
    16. Sadeghi, Mohsen & Chitsaz, Ata & Mahmoudi, S.M.S. & Rosen, Marc A., 2015. "Thermoeconomic optimization using an evolutionary algorithm of a trigeneration system driven by a solid oxide fuel cell," Energy, Elsevier, vol. 89(C), pages 191-204.
    17. Gasparatos, Alexandros & El-Haram, Mohamed & Horner, Malcolm, 2009. "Assessing the sustainability of the UK society using thermodynamic concepts: Part 2," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 956-970, June.
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    5. Shadram, Farshid & Bhattacharjee, Shimantika & Lidelöw, Sofia & Mukkavaara, Jani & Olofsson, Thomas, 2020. "Exploring the trade-off in life cycle energy of building retrofit through optimization," Applied Energy, Elsevier, vol. 269(C).
    6. Jie, Pengfei & Zhang, Fenghe & Fang, Zhou & Wang, Hongbo & Zhao, Yunfeng, 2018. "Optimizing the insulation thickness of walls and roofs of existing buildings based on primary energy consumption, global cost and pollutant emissions," Energy, Elsevier, vol. 159(C), pages 1132-1147.
    7. García Kerdan, Iván & Raslan, Rokia & Ruyssevelt, Paul & Morillón Gálvez, David, 2017. "A comparison of an energy/economic-based against an exergoeconomic-based multi-objective optimisation for low carbon building energy design," Energy, Elsevier, vol. 128(C), pages 244-263.
    8. Ascione, Fabrizio & Bianco, Nicola & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2019. "A new comprehensive framework for the multi-objective optimization of building energy design: Harlequin," Applied Energy, Elsevier, vol. 241(C), pages 331-361.
    9. Mohamed Hamdy & Gerardo Maria Mauro, 2017. "Multi-Objective Optimization of Building Energy Design to Reconcile Collective and Private Perspectives: CO 2 -eq vs. Discounted Payback Time," Energies, MDPI, vol. 10(7), pages 1-26, July.
    10. Yoon, Sungmin & Yu, Yuebin, 2018. "Hidden factors and handling strategies on virtual in-situ sensor calibration in building energy systems: Prior information and cancellation effect," Applied Energy, Elsevier, vol. 212(C), pages 1069-1082.
    11. Ghaebi, Hadi & Parikhani, Towhid & Rostamzadeh, Hadi, 2018. "A novel trigeneration system using geothermal heat source and liquefied natural gas cold energy recovery: Energy, exergy and exergoeconomic analysis," Renewable Energy, Elsevier, vol. 119(C), pages 513-527.
    12. Ali Sadollah & Mohammad Nasir & Zong Woo Geem, 2020. "Sustainability and Optimization: From Conceptual Fundamentals to Applications," Sustainability, MDPI, vol. 12(5), pages 1-34, March.
    13. Joana Fernandes & Maria Catarina Santos & Rui Castro, 2021. "Introductory Review of Energy Efficiency in Buildings Retrofits," Energies, MDPI, vol. 14(23), pages 1-18, December.
    14. García Kerdan, Iván & Raslan, Rokia & Ruyssevelt, Paul & Morillón Gálvez, David, 2017. "The role of an exergy-based building stock model for exploration of future decarbonisation scenarios and policy making," Energy Policy, Elsevier, vol. 105(C), pages 467-483.
    15. Paola Marrone & Paola Gori & Francesco Asdrubali & Luca Evangelisti & Laura Calcagnini & Gianluca Grazieschi, 2018. "Energy Benchmarking in Educational Buildings through Cluster Analysis of Energy Retrofitting," Energies, MDPI, vol. 11(3), pages 1-20, March.

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