IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v192y2017icp33-58.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917301204
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2017.02.006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Linda Barelli & Elisa Belloni & Gianni Bidini & Cinzia Buratti & Emilia Maria Pinchi, 2021. "Development of a Decisional Procedure Based on Fuzzy Logic for the Energy Retrofitting of Buildings," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Munguba, C.F.L. & Leite, G.N.P. & Ochoa, A.A.V. & Michima, P.S.A. & Silva, H.C.N. & Vilela, O.C. & Kraj, A., 2024. "Enhancing cost-efficiency in achieving near-zero energy performance through integrated photovoltaic retrofit solutions," Applied Energy, Elsevier, vol. 367(C).
    7. 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.
    8. Ascione, Fabrizio & Bianco, Nicola & Mauro, Gerardo Maria & Napolitano, Davide Ferdinando, 2019. "Retrofit of villas on Mediterranean coastlines: Pareto optimization with a view to energy-efficiency and cost-effectiveness," Applied Energy, Elsevier, vol. 254(C).
    9. García Kerdan, Iván & Morillón Gálvez, David, 2020. "Artificial neural network structure optimisation for accurately prediction of exergy, comfort and life cycle cost performance of a low energy building," Applied Energy, Elsevier, vol. 280(C).
    10. Cascone, Ylenia & Capozzoli, Alfonso & Perino, Marco, 2018. "Optimisation analysis of PCM-enhanced opaque building envelope components for the energy retrofitting of office buildings in Mediterranean climates," Applied Energy, Elsevier, vol. 211(C), pages 929-953.
    11. 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).
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. García Kerdan, Iván & Morillón Gálvez, David, 2020. "Artificial neural network structure optimisation for accurately prediction of exergy, comfort and life cycle cost performance of a low energy building," Applied Energy, Elsevier, vol. 280(C).
    3. Yang, Qingchun & Qian, Yu & Kraslawski, Andrzej & Zhou, Huairong & Yang, Siyu, 2016. "Framework for advanced exergoeconomic performance analysis and optimization of an oil shale retorting process," Energy, Elsevier, vol. 109(C), pages 62-76.
    4. 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.
    5. Prince, & Hati, Ananda Shankar & Kumar, Prashant, 2023. "An adaptive neural fuzzy interface structure optimisation for prediction of energy consumption and airflow of a ventilation system," Applied Energy, Elsevier, vol. 337(C).
    6. Serrenho, André Cabrera & Warr, Benjamin & Sousa, Tânia & Ayres, Robert U. & Domingos, Tiago, 2016. "Structure and dynamics of useful work along the agriculture-industry-services transition: Portugal from 1856 to 2009," Structural Change and Economic Dynamics, Elsevier, vol. 36(C), pages 1-21.
    7. Holl, Mario & Pelz, Peter F., 2016. "Multi-pole system analysis (MPSA) – A systematic method towards techno-economic optimal system design," Applied Energy, Elsevier, vol. 169(C), pages 937-949.
    8. Ricardo Manso & Tânia Sousa & Tiago Domingos, 2017. "Do the Different Exergy Accounting Methodologies Provide Consistent or Contradictory Results? A Case Study with the Portuguese Agricultural, Forestry and Fisheries Sector," Energies, MDPI, vol. 10(8), pages 1-31, August.
    9. Ricardo Manso & Tânia Sousa & Tiago Domingos, 2018. "The Way Forward in Quantifying Extended Exergy Efficiency," Energies, MDPI, vol. 11(10), pages 1-32, September.
    10. Francesco Witte & Mathias Hofmann & Julius Meier & Ilja Tuschy & George Tsatsaronis, 2022. "Generic and Open-Source Exergy Analysis—Extending the Simulation Framework TESPy," Energies, MDPI, vol. 15(11), pages 1-27, June.
    11. Seyed Mohammad Seyed Mahmoudi & Ramin Ghiami Sardroud & Mohsen Sadeghi & Marc A. Rosen, 2022. "Integration of Supercritical CO 2 Recompression Brayton Cycle with Organic Rankine/Flash and Kalina Cycles: Thermoeconomic Comparison," Sustainability, MDPI, vol. 14(14), pages 1-29, July.
    12. Dai, Jing & Fath, Brian & Chen, Bin, 2012. "Constructing a network of the social-economic consumption system of China using extended exergy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4796-4808.
    13. Xiaoyue Wang & Shuyao Wu & Shuangcheng Li, 2017. "Urban Metabolism of Three Cities in Jing-Jin-Ji Urban Agglomeration, China: Using the MuSIASEM Approach," Sustainability, MDPI, vol. 9(8), pages 1-21, August.
    14. Khalili-Garakani, Amirhossein & Ivakpour, Javad & Kasiri, Norollah, 2016. "Evolutionary synthesis of optimum light ends recovery unit with exergy analysis application," Applied Energy, Elsevier, vol. 168(C), pages 507-522.
    15. Soltanian, Salman & Kalogirou, Soteris A. & Ranjbari, Meisam & Amiri, Hamid & Mahian, Omid & Khoshnevisan, Benyamin & Jafary, Tahereh & Nizami, Abdul-Sattar & Gupta, Vijai Kumar & Aghaei, Siavash & Pe, 2022. "Exergetic sustainability analysis of municipal solid waste treatment systems: A systematic critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    16. García Kerdan, Iván & Morillón Gálvez, David & Raslan, Rokia & Ruyssevelt, Paul, 2015. "Modelling the energy and exergy utilisation of the Mexican non-domestic sector: A study by climatic regions," Energy Policy, Elsevier, vol. 77(C), pages 191-206.
    17. Seckin, Candeniz & Bayulken, Ahmet R., 2013. "Extended Exergy Accounting (EEA) analysis of municipal wastewater treatment – Determination of environmental remediation cost for municipal wastewater," Applied Energy, Elsevier, vol. 110(C), pages 55-64.
    18. Qi, Hai & Dong, Zhiliang & Dong, Shaohui & Sun, Xiaotian & Zhao, Yiran & Li, Yu, 2021. "Extended exergy accounting for smelting and pressing of metals industry in China," Resources Policy, Elsevier, vol. 74(C).
    19. Cao, Yan & Habibi, Hamed & Zoghi, Mohammad & Raise, Amir, 2021. "Waste heat recovery of a combined regenerative gas turbine - recompression supercritical CO2 Brayton cycle driven by a hybrid solar-biomass heat source for multi-generation purpose: 4E analysis and pa," Energy, Elsevier, vol. 236(C).
    20. Akbulut, Ugur & Utlu, Zafer & Kincay, Olcay, 2016. "Exergy, exergoenvironmental and exergoeconomic evaluation of a heat pump-integrated wall heating system," Energy, Elsevier, vol. 107(C), pages 502-522.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:192:y:2017:i:c:p:33-58. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.