IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i3p636-d487749.html
   My bibliography  Save this article

The Road to Developing Economically Feasible Plans for Green, Comfortable and Energy Efficient Buildings

Author

Listed:
  • Seyedeh Farzaneh Mousavi Motlagh

    (Department of Architecture, Architecture School, College of Fine Arts, University of Tehran, 1415 564583 Tehran, Iran)

  • Ali Sohani

    (Lab of Optimization of Thermal Systems’ Installations, Faculty of Mechanical Engineering-Energy Division, K.N. Toosi University of Technology, P.O. Box: 19395-1999, No. 15-19, Pardis St., Mollasadra Ave., Vanak Sq., 1999 143344 Tehran, Iran)

  • Mohammad Djavad Saghafi

    (Department of Architecture, Architecture School, College of Fine Arts, University of Tehran, 1415 564583 Tehran, Iran)

  • Hoseyn Sayyaadi

    (Lab of Optimization of Thermal Systems’ Installations, Faculty of Mechanical Engineering-Energy Division, K.N. Toosi University of Technology, P.O. Box: 19395-1999, No. 15-19, Pardis St., Mollasadra Ave., Vanak Sq., 1999 143344 Tehran, Iran)

  • Benedetto Nastasi

    (Department of Planning, Design, Technology of Architecture, Sapienza University of Rome, Via Flaminia 72, 00196 Rome, Italy)

Abstract

Owing to the current challenges in energy and environmental crises, improving buildings, as one of the biggest concerns and contributors to these issues, is increasingly receiving attention from the world. Due to a variety of choices and situations for improving buildings, it is important to review the building performance optimization studies to find the proper solution. In this paper, these studies are reviewed by analyzing all the different key parameters involved in the optimization process, including the considered decision variables, objective functions, constraints, and case studies, along with the software programs and optimization algorithms employed. As the core literature, 44 investigations recently published are considered and compared. The current investigation provides sufficient information for all the experts in the building sector, such as architects and mechanical engineers. It is noticed that EnergyPlus and MATLAB have been employed more than other software for building simulation and optimization, respectively. In addition, among the nine different aspects that have been optimized in the literature, energy consumption, thermal comfort, and economic benefits are the first, second, and third most optimized, having shares of 38.6%, 22.7%, and 17%, respectively.

Suggested Citation

  • Seyedeh Farzaneh Mousavi Motlagh & Ali Sohani & Mohammad Djavad Saghafi & Hoseyn Sayyaadi & Benedetto Nastasi, 2021. "The Road to Developing Economically Feasible Plans for Green, Comfortable and Energy Efficient Buildings," Energies, MDPI, vol. 14(3), pages 1-30, January.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:636-:d:487749
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/3/636/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/3/636/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mangkuto, Rizki A. & Rohmah, Mardliyahtur & Asri, Anindya Dian, 2016. "Design optimisation for window size, orientation, and wall reflectance with regard to various daylight metrics and lighting energy demand: A case study of buildings in the tropics," Applied Energy, Elsevier, vol. 164(C), pages 211-219.
    2. Méndez Echenagucia, Tomás & Capozzoli, Alfonso & Cascone, Ylenia & Sassone, Mario, 2015. "The early design stage of a building envelope: Multi-objective search through heating, cooling and lighting energy performance analysis," Applied Energy, Elsevier, vol. 154(C), pages 577-591.
    3. Shi, Xing & Tian, Zhichao & Chen, Wenqiang & Si, Binghui & Jin, Xing, 2016. "A review on building energy efficient design optimization rom the perspective of architects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 872-884.
    4. Schito, Eva & Conti, Paolo & Testi, Daniele, 2018. "Multi-objective optimization of microclimate in museums for concurrent reduction of energy needs, visitors’ discomfort and artwork preservation risks," Applied Energy, Elsevier, vol. 224(C), pages 147-159.
    5. Mostavi, Ehsan & Asadi, Somayeh & Boussaa, Djamel, 2017. "Development of a new methodology to optimize building life cycle cost, environmental impacts, and occupant satisfaction," Energy, Elsevier, vol. 121(C), pages 606-615.
    6. Zhai, Yingni & Wang, Yi & Huang, Yanqiu & Meng, Xiaojing, 2019. "A multi-objective optimization methodology for window design considering energy consumption, thermal environment and visual performance," Renewable Energy, Elsevier, vol. 134(C), pages 1190-1199.
    7. Kumar, Abhishek & Sah, Bikash & Singh, Arvind R. & Deng, Yan & He, Xiangning & Kumar, Praveen & Bansal, R.C., 2017. "A review of multi criteria decision making (MCDM) towards sustainable renewable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 596-609.
    8. Ascione, Fabrizio & Bianco, Nicola & Maria Mauro, Gerardo & Napolitano, Davide Ferdinando, 2019. "Building envelope design: Multi-objective optimization to minimize energy consumption, global cost and thermal discomfort. Application to different Italian climatic zones," Energy, Elsevier, vol. 174(C), pages 359-374.
    9. Cristina Baglivo & Paolo Maria Congedo & Matteo Di Cataldo & Luigi Damiano Coluccia & Delia D’Agostino, 2017. "Envelope Design Optimization by Thermal Modelling of a Building in a Warm Climate," Energies, MDPI, vol. 10(11), pages 1-34, November.
    10. Joanna Ferdyn-Grygierek & Krzysztof Grygierek, 2017. "Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms," Energies, MDPI, vol. 10(10), pages 1-20, October.
    11. Davide Astiaso Garcia & Fabrizio Cumo & Mariagrazia Tiberi & Valentina Sforzini & Giuseppe Piras, 2016. "Cost-Benefit Analysis for Energy Management in Public Buildings: Four Italian Case Studies," Energies, MDPI, vol. 9(7), pages 1-17, July.
    12. Jessica Settino & Cristina Carpino & Stefania Perrella & Natale Arcuri, 2020. "Multi-Objective Analysis of a Fixed Solar Shading System in Different Climatic Areas," Energies, MDPI, vol. 13(12), pages 1-18, June.
    13. Krzysztof Grygierek & Joanna Ferdyn-Grygierek, 2018. "Multi-Objective Optimization of the Envelope of Building with Natural Ventilation," Energies, MDPI, vol. 11(6), pages 1-17, May.
    14. Xue, Peng & Li, Qian & Xie, Jingchao & Zhao, Mengjing & Liu, Jiaping, 2019. "Optimization of window-to-wall ratio with sunshades in China low latitude region considering daylighting and energy saving requirements," Applied Energy, Elsevier, vol. 233, pages 62-70.
    15. Fabrizio Ascione & Nicola Bianco & Rosa Francesca De Masi & Gerardo Maria Mauro & Giuseppe Peter Vanoli, 2015. "Design of the Building Envelope: A Novel Multi-Objective Approach for the Optimization of Energy Performance and Thermal Comfort," Sustainability, MDPI, vol. 7(8), pages 1-28, August.
    16. Moradikazerouni, Alireza & Hajizadeh, Ahmad & Safaei, Mohammad Reza & Afrand, Masoud & Yarmand, Hooman & Zulkifli, Nurin Wahidah Binti Mohd, 2019. "Assessment of thermal conductivity enhancement of nano-antifreeze containing single-walled carbon nanotubes: Optimal artificial neural network and curve-fitting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 138-145.
    17. Delgarm, N. & Sajadi, B. & Kowsary, F. & Delgarm, S., 2016. "Multi-objective optimization of the building energy performance: A simulation-based approach by means of particle swarm optimization (PSO)," Applied Energy, Elsevier, vol. 170(C), pages 293-303.
    18. Gianmarco Fajilla & Marilena De Simone & Luisa F. Cabeza & Luís Bragança, 2020. "Assessment of the Impact of Occupants’ Behavior and Climate Change on Heating and Cooling Energy Needs of Buildings," Energies, MDPI, vol. 13(23), pages 1-18, December.
    19. Golizadeh Akhlaghi, Yousef & Aslansefat, Koorosh & Zhao, Xudong & Sadati, Saba & Badiei, Ali & Xiao, Xin & Shittu, Samson & Fan, Yi & Ma, Xiaoli, 2021. "Hourly performance forecast of a dew point cooler using explainable Artificial Intelligence and evolutionary optimisations by 2050," Applied Energy, Elsevier, vol. 281(C).
    20. 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.
    21. Carlucci, Salvatore & Causone, Francesco & De Rosa, Francesco & Pagliano, Lorenzo, 2015. "A review of indices for assessing visual comfort with a view to their use in optimization processes to support building integrated design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 1016-1033.
    22. Yağlı, Hüseyin & Koç, Yıldız & Koç, Ali & Görgülü, Adnan & Tandiroğlu, Ahmet, 2016. "Parametric optimization and exergetic analysis comparison of subcritical and supercritical organic Rankine cycle (ORC) for biogas fuelled combined heat and power (CHP) engine exhaust gas waste heat," Energy, Elsevier, vol. 111(C), pages 923-932.
    23. Krzysztof Grygierek & Izabela Sarna, 2020. "Impact of Passive Cooling on Thermal Comfort in a Single-Family Building for Current and Future Climate Conditions," Energies, MDPI, vol. 13(20), pages 1-17, October.
    24. Hong, Taehoon & Kim, Jimin & Lee, Minhyun, 2019. "A multi-objective optimization model for determining the building design and occupant behaviors based on energy, economic, and environmental performance," Energy, Elsevier, vol. 174(C), pages 823-834.
    25. Razmi, Amir Reza & Arabkoohsar, Ahmad & Nami, Hossein, 2020. "Thermoeconomic analysis and multi-objective optimization of a novel hybrid absorption/recompression refrigeration system," Energy, Elsevier, vol. 210(C).
    26. Yaolin Lin & Shiquan Zhou & Wei Yang & Chun-Qing Li, 2018. "Design Optimization Considering Variable Thermal Mass, Insulation, Absorptance of Solar Radiation, and Glazing Ratio Using a Prediction Model and Genetic Algorithm," Sustainability, MDPI, vol. 10(2), pages 1-15, January.
    27. Francesco Mancini & Fabio Nardecchia & Daniele Groppi & Francesco Ruperto & Carlo Romeo, 2020. "Indoor Environmental Quality Analysis for Optimizing Energy Consumptions Varying Air Ventilation Rates," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    28. M. M. Sarafraz & Alireza Dareh Baghi & Mohammad Reza Safaei & Arturo S. Leon & R. Ghomashchi & Marjan Goodarzi & Cheng-Xian Lin, 2019. "Assessment of Iron Oxide (III)–Therminol 66 Nanofluid as a Novel Working Fluid in a Convective Radiator Heating System for Buildings," Energies, MDPI, vol. 12(22), pages 1-13, November.
    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. Seyedeh Farzaneh Mousavi Motlagh & Ali Sohani & Mohammad Djavad Saghafi & Hoseyn Sayyaadi & Benedetto Nastasi, 2021. "Acquiring the Foremost Window Allocation Strategy to Achieve the Best Trade-Off among Energy, Environmental, and Comfort Criteria in a Building," Energies, MDPI, vol. 14(13), pages 1-24, July.
    2. Atef Ahriz & Abdelhakim Mesloub & Khaled Elkhayat & Mohammed A Alghaseb & Mohamed Hassan Abdelhafez & Aritra Ghosh, 2021. "Development of a Mosque Design for a Hot, Dry Climate Based on a Holistic Bioclimatic Vision," Sustainability, MDPI, vol. 13(11), pages 1-22, June.
    3. Imre Csáky, 2021. "Analysis of Daily Energy Demand for Cooling in Buildings with Different Comfort Categories—Case Study," Energies, MDPI, vol. 14(15), pages 1-17, August.

    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. Zhai, Yingni & Wang, Yi & Huang, Yanqiu & Meng, Xiaojing, 2019. "A multi-objective optimization methodology for window design considering energy consumption, thermal environment and visual performance," Renewable Energy, Elsevier, vol. 134(C), pages 1190-1199.
    2. 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.
    3. Shaoxiong Li & Le Liu & Changhai Peng, 2020. "A Review of Performance-Oriented Architectural Design and Optimization in the Context of Sustainability: Dividends and Challenges," Sustainability, MDPI, vol. 12(4), pages 1-36, February.
    4. Wu, Xianguo & Feng, Zongbao & Chen, Hongyu & Qin, Yawei & Zheng, Shiyi & Wang, Lei & Liu, Yang & Skibniewski, Miroslaw J., 2022. "Intelligent optimization framework of near zero energy consumption building performance based on a hybrid machine learning algorithm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    5. Lešnik, Maja & Kravanja, Stojan & Premrov, Miroslav & Žegarac Leskovar, Vesna, 2020. "Optimal design of timber-glass upgrade modules for vertical building extension from the viewpoints of energy efficiency and visual comfort," Applied Energy, Elsevier, vol. 270(C).
    6. Krzysztof Grygierek & Joanna Ferdyn-Grygierek, 2022. "Design of Ventilation Systems in a Single-Family House in Terms of Heating Demand and Indoor Environment Quality," Energies, MDPI, vol. 15(22), pages 1-18, November.
    7. Krzysztof Grygierek & Joanna Ferdyn-Grygierek & Anna Gumińska & Łukasz Baran & Magdalena Barwa & Kamila Czerw & Paulina Gowik & Klaudia Makselan & Klaudia Potyka & Agnes Psikuta, 2020. "Energy and Environmental Analysis of Single-Family Houses Located in Poland," Energies, MDPI, vol. 13(11), pages 1-25, May.
    8. Seyedeh Farzaneh Mousavi Motlagh & Ali Sohani & Mohammad Djavad Saghafi & Hoseyn Sayyaadi & Benedetto Nastasi, 2021. "Acquiring the Foremost Window Allocation Strategy to Achieve the Best Trade-Off among Energy, Environmental, and Comfort Criteria in a Building," Energies, MDPI, vol. 14(13), pages 1-24, July.
    9. Saurbayeva, Assemgul & Memon, Shazim Ali & Kim, Jong, 2023. "Integrated multi-stage sensitivity analysis and multi-objective optimization approach for PCM integrated residential buildings in different climate zones," Energy, Elsevier, vol. 278(PB).
    10. Ascione, Fabrizio & De Masi, Rosa Francesca & de Rossi, Filippo & Ruggiero, Silvia & Vanoli, Giuseppe Peter, 2016. "Optimization of building envelope design for nZEBs in Mediterranean climate: Performance analysis of residential case study," Applied Energy, Elsevier, vol. 183(C), pages 938-957.
    11. 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.
    12. 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).
    13. Pilechiha, Peiman & Mahdavinejad, Mohammadjavad & Pour Rahimian, Farzad & Carnemolla, Phillippa & Seyedzadeh, Saleh, 2020. "Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency," Applied Energy, Elsevier, vol. 261(C).
    14. Ascione, Fabrizio & Bianco, Nicola & De Stasio, Claudio & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2016. "Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality," Applied Energy, Elsevier, vol. 174(C), pages 37-68.
    15. 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.
    16. Nayara R. M. Sakiyama & Joyce C. Carlo & Leonardo Mazzaferro & Harald Garrecht, 2021. "Building Optimization through a Parametric Design Platform: Using Sensitivity Analysis to Improve a Radial-Based Algorithm Performance," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    17. Chen, Ruijun & Tsay, Yaw-Shyan & Zhang, Ting, 2023. "A multi-objective optimization strategy for building carbon emission from the whole life cycle perspective," Energy, Elsevier, vol. 262(PA).
    18. Chen, Xi & Yang, Hongxing & Peng, Jinqing, 2019. "Energy optimization of high-rise commercial buildings integrated with photovoltaic facades in urban context," Energy, Elsevier, vol. 172(C), pages 1-17.
    19. Chen, Xi & Yang, Hongxing & Sun, Ke, 2016. "A holistic passive design approach to optimize indoor environmental quality of a typical residential building in Hong Kong," Energy, Elsevier, vol. 113(C), pages 267-281.
    20. de Almeida Rocha, Ana Paula & Reynoso-Meza, Gilberto & Oliveira, Ricardo C.L.F. & Mendes, Nathan, 2020. "A pixel counting based method for designing shading devices in buildings considering energy efficiency, daylight use and fading protection," Applied Energy, Elsevier, vol. 262(C).

    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:gam:jeners:v:14:y:2021:i:3:p:636-:d:487749. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.