IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v205y2017icp732-740.html
   My bibliography  Save this article

Impact of different LEED versions for green building certification and energy efficiency rating system: A Multifamily Midrise case study

Author

Listed:
  • Rastogi, Ankush
  • Choi, Jun-Ki
  • Hong, Taehoon
  • Lee, Minhyun

Abstract

Various versions of the Leadership in Energy and Environmental Design (LEED®) have been introduced with the addition of more stringent sustainability parameters and credit scoring schemes over the past decade. Such changes in LEED versions strongly affect the energy performance and LEED scores of the target building in the LEED certification process. Therefore, to validate and improve the current LEED version, it is crucial to investigate and compare the impact of different LEED versions on the building energy performance and scoring scheme. However, researches comparing the sustainability metrics for mid-rise multi-family buildings are rare. Therefore, this paper investigates the potential changes in the energy performance resulted from applying different LEED versions (i.e., LEED v3 and v4) for the Energy and Atmosphere (EA) category. Towards this end, a case study was carried out with energy modeling and simulation using TRACE 700 to compare the changes in the energy performance of four analysis scenarios applied to an existing mid-rise multi-family building located in Ohio. Results showed notable changes in LEED points when different versions of LEED using different ASHRAE Standards (i.e., ASHRAE Standards 90.1-2007 and 90.1-2010) are applied for the building energy analysis. In particular, mid-rise multi-family buildings could benefit from LEED v4 in terms of LEED credits as the prerequisite for the minimum energy performance improvement in EA category became significantly lenient compared to LEED v3. On the contrary, when the percentage energy performance improvement is over 34%, mid-rise multi-family buildings would benefit from LEED v3 as it becomes difficult to gain more points for similar energy performance improvement in LEED v4 compared to LEED v3. Various stakeholders including USGBC and government can benefit from using the key findings of this study for improving the LEED certification and national energy standards.

Suggested Citation

  • Rastogi, Ankush & Choi, Jun-Ki & Hong, Taehoon & Lee, Minhyun, 2017. "Impact of different LEED versions for green building certification and energy efficiency rating system: A Multifamily Midrise case study," Applied Energy, Elsevier, vol. 205(C), pages 732-740.
    • Handle: RePEc:eee:appene:v:205:y:2017:i:c:p:732-740
    DOI: 10.1016/j.apenergy.2017.08.149
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917311662
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2017.08.149?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. Koo, Choongwan & Hong, Taehoon & Lee, Minhyun & Seon Park, Hyo, 2014. "Development of a new energy efficiency rating system for existing residential buildings," Energy Policy, Elsevier, vol. 68(C), pages 218-231.
    2. Choi, Jun-Ki & Bakshi, Bhavik R. & Hubacek, Klaus & Nader, Jordan, 2016. "A sequential input–output framework to analyze the economic and environmental implications of energy policies: Gas taxes and fuel subsidies," Applied Energy, Elsevier, vol. 184(C), pages 830-839.
    3. Bhattacharya, Mita & Paramati, Sudharshan Reddy & Ozturk, Ilhan & Bhattacharya, Sankar, 2016. "The effect of renewable energy consumption on economic growth: Evidence from top 38 countries," Applied Energy, Elsevier, vol. 162(C), pages 733-741.
    4. Gourlis, Georgios & Kovacic, Iva, 2017. "Building Information Modelling for analysis of energy efficient industrial buildings – A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 953-963.
    5. Park, Hyo Seon & Lee, Minhyun & Kang, Hyuna & Hong, Taehoon & Jeong, Jaewook, 2016. "Development of a new energy benchmark for improving the operational rating system of office buildings using various data-mining techniques," Applied Energy, Elsevier, vol. 173(C), pages 225-237.
    6. Koo, Choongwan & Park, Sungki & Hong, Taehoon & Park, Hyo Seon, 2014. "An estimation model for the heating and cooling demand of a residential building with a different envelope design using the finite element method," Applied Energy, Elsevier, vol. 115(C), pages 205-215.
    7. Jeong, Jaewook & Hong, Taehoon & Ji, Changyoon & Kim, Jimin & Lee, Minhyun & Jeong, Kwangbok & Koo, Choongwan, 2017. "Improvements of the operational rating system for existing residential buildings," Applied Energy, Elsevier, vol. 193(C), pages 112-124.
    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. Serdar Durdyev & Serik Tokbolat, 2022. "A quantified model for assessment of drivers of acquiring green buildings by potential clients," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3815-3831, March.
    2. Soad Abokhamis Mousavi, 2022. "Sustainable Hotel Building Local Assessment Model: A Case of Northern Cyprus," Sustainability, MDPI, vol. 14(19), pages 1-21, October.
    3. Silvia Vilčeková & Iveta Selecká & Eva Krídlová Burdová & Ľudmila Mečiarová, 2018. "Interlinked Sustainability Aspects of Low-Rise Residential Family House Development in Slovakia," Sustainability, MDPI, vol. 10(11), pages 1-28, October.
    4. Mendes, Vítor Freitas & Cruz, Alexandre Santana & Gomes, Adriano Pinto & Mendes, Júlia Castro, 2024. "A systematic review of methods for evaluating the thermal performance of buildings through energy simulations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    5. Lihua Liang & Baohua Wen & Feng Xu & Jianwei Yan & Xiangqi Yan & S. Ramesh, 2021. "Linking the Development of Building Sustainability Assessment Tools with the Concept Evolution of Sustainable Buildings," Sustainability, MDPI, vol. 13(22), pages 1-23, November.
    6. Xiaonuan Sun & Zhonghua Gou & Yi Lu & Yiqi Tao, 2018. "Strengths and Weaknesses of Existing Building Green Retrofits: Case Study of a LEED EBOM Gold Project," Energies, MDPI, vol. 11(8), pages 1-18, July.
    7. Yingling Shi & Xinping Liu, 2019. "Research on the Literature of Green Building Based on the Web of Science: A Scientometric Analysis in CiteSpace (2002–2018)," Sustainability, MDPI, vol. 11(13), pages 1-22, July.
    8. Ali Amiri & Juudit Ottelin & Jaana Sorvari, 2019. "Are LEED-Certified Buildings Energy-Efficient in Practice?," Sustainability, MDPI, vol. 11(6), pages 1-14, March.
    9. Lee, Louis S.H. & Jim, C.Y., 2019. "Energy benefits of green-wall shading based on novel-accurate apportionment of short-wave radiation components," Applied Energy, Elsevier, vol. 238(C), pages 1506-1518.
    10. Danny Lobos Calquín & Ramón Mata & Juan Carlos Vielma & Juan Carlos Beaumont-Sepulveda & Claudio Correa & Eduardo Nuñez & Eric Forcael & David Blanco & Pablo Pulgar, 2024. "A Simplified Framework to Integrate Databases with Building Information Modeling for Building Energy Assessment in Multi-Climate Zones," Sustainability, MDPI, vol. 16(14), pages 1-22, July.
    11. Yijia Miao & Doris Sau Fung Yu & Weiguang Tan & Sunnie Sing Yeung Lau & Stephen Siu Yu Lau & Yiqi Tao, 2024. "Crafting Sustainable Healthcare Environments Using Green Building Ratings for Aging Societies," Sustainability, MDPI, vol. 16(5), pages 1-22, February.
    12. Katherine Madson & Bryan Franz & Robert Leicht & Jonathan Nelson, 2022. "Evaluating the Sustainability of New Construction Projects over Time by Examining the Evolution of the LEED Rating System," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
    13. Li, Qianwen & Long, Ruyin & Chen, Hong, 2018. "Differences and influencing factors for Chinese urban resident willingness to pay for green housings: Evidence from five first-tier cities in China," Applied Energy, Elsevier, vol. 229(C), pages 299-313.
    14. Anh-Duc Pham & Quang Trung Nguyen & Duc Long Luong & Quynh Chau Truong, 2020. "The Development of a Decision Support Model for Eco-Friendly Material Selection in Vietnam," Sustainability, MDPI, vol. 12(7), pages 1-19, April.

    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. Jeong, Jaewook & Hong, Taehoon & Ji, Changyoon & Kim, Jimin & Lee, Minhyun & Jeong, Kwangbok & Koo, Choongwan, 2017. "Improvements of the operational rating system for existing residential buildings," Applied Energy, Elsevier, vol. 193(C), pages 112-124.
    2. Liu, Jiangyan & Wang, Jiangyu & Li, Guannan & Chen, Huanxin & Shen, Limei & Xing, Lu, 2017. "Evaluation of the energy performance of variable refrigerant flow systems using dynamic energy benchmarks based on data mining techniques," Applied Energy, Elsevier, vol. 208(C), pages 522-539.
    3. Antonio Attanasio & Marco Savino Piscitelli & Silvia Chiusano & Alfonso Capozzoli & Tania Cerquitelli, 2019. "Towards an Automated, Fast and Interpretable Estimation Model of Heating Energy Demand: A Data-Driven Approach Exploiting Building Energy Certificates," Energies, MDPI, vol. 12(7), pages 1-25, April.
    4. Seo, Dong-yeon & Koo, Choongwan & Hong, Taehoon, 2015. "A Lagrangian finite element model for estimating the heating and cooling demand of a residential building with a different envelope design," Applied Energy, Elsevier, vol. 142(C), pages 66-79.
    5. Lee, Minhyun & Hong, Taehoon & Yoo, Hyunji & Koo, Choongwan & Kim, Jimin & Jeong, Kwangbok & Jeong, Jaewook & Ji, Changyoon, 2017. "Establishment of a base price for the Solar Renewable Energy Credit (SREC) from the perspective of residents and state governments in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1066-1080.
    6. Jeong, Jaewook & Hong, Taehoon & Ji, Changyoon & Kim, Jimin & Lee, Minhyun & Jeong, Kwangbok & Koo, Choongwan, 2017. "Development of a prediction model for the cost saving potentials in implementing the building energy efficiency rating certification," Applied Energy, Elsevier, vol. 189(C), pages 257-270.
    7. Hong, Taehoon & Koo, Choongwan & Kim, Daeho & Lee, Minhyun & Kim, Jimin, 2015. "An estimation methodology for the dynamic operational rating of a new residential building using the advanced case-based reasoning and stochastic approaches," Applied Energy, Elsevier, vol. 150(C), pages 308-322.
    8. Koo, Choongwan & Kim, Hyunjoong & Hong, Taehoon, 2014. "Framework for the analysis of the low-carbon scenario 2020 to achieve the national carbon Emissions reduction target: Focused on educational facilities," Energy Policy, Elsevier, vol. 73(C), pages 356-367.
    9. Jeong, Jaewook & Hong, Taehoon & Ji, Changyoon & Kim, Jimin & Lee, Minhyun & Jeong, Kwangbok, 2016. "Development of an integrated energy benchmark for a multi-family housing complex using district heating," Applied Energy, Elsevier, vol. 179(C), pages 1048-1061.
    10. Zhou, Yuren & Lork, Clement & Li, Wen-Tai & Yuen, Chau & Keow, Yeong Ming, 2019. "Benchmarking air-conditioning energy performance of residential rooms based on regression and clustering techniques," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    11. Liu, Jiangyan & Chen, Huanxin & Liu, Jiahui & Li, Zhengfei & Huang, Ronggeng & Xing, Lu & Wang, Jiangyu & Li, Guannan, 2017. "An energy performance evaluation methodology for individual office building with dynamic energy benchmarks using limited information," Applied Energy, Elsevier, vol. 206(C), pages 193-205.
    12. Koo, Choongwan & Hong, Taehoon & Kim, Jimin & Kim, Hyunjoong, 2015. "An integrated multi-objective optimization model for establishing the low-carbon scenario 2020 to achieve the national carbon emissions reduction target for residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 410-425.
    13. Koo, Choongwan & Hong, Taehoon, 2015. "Development of a dynamic operational rating system in energy performance certificates for existing buildings: Geostatistical approach and data-mining technique," Applied Energy, Elsevier, vol. 154(C), pages 254-270.
    14. Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Lee, Myeonghwi & Koo, Choongwan & Lee, Minhyun & Ji, Changyoon & Jeong, Jaewook, 2016. "An integrated multi-objective optimization model for determining the optimal solution in the solar thermal energy system," Energy, Elsevier, vol. 102(C), pages 416-426.
    15. Jeong, Kwangbok & Hong, Taehoon & Kim, Jimin & Lee, Jaewook, 2021. "A data-driven approach for establishing a CO2 emission benchmark for a multi-family housing complex using data mining techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    16. Hong, Taehoon & Kim, Daeho & Koo, Choongwan & Kim, Jimin, 2014. "Framework for establishing the optimal implementation strategy of a fuel-cell-based combined heat and power system: Focused on multi-family housing complex," Applied Energy, Elsevier, vol. 127(C), pages 11-24.
    17. Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Koo, Choongwan & Jeong, Kwangbok, 2016. "An optimization model for selecting the optimal green systems by considering the thermal comfort and energy consumption," Applied Energy, Elsevier, vol. 169(C), pages 682-695.
    18. Villanthenkodath, Muhammed Ashiq & Mahalik, Mantu Kumar, 2021. "Does economic growth respond to electricity consumption asymmetrically in Bangladesh? The implication for environmental sustainability," Energy, Elsevier, vol. 233(C).
    19. Shahbaz, Muhammad & Hoang, Thi Hong Van & Mahalik, Mantu Kumar & Roubaud, David, 2017. "Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis," Energy Economics, Elsevier, vol. 63(C), pages 199-212.
    20. Hosein Mohammadi & Sayed Saghaian & Bahareh Zandi Dareh Gharibi, 2023. "Renewable and Non-Renewable Energy Consumption and Its Impact on Economic Growth," Sustainability, MDPI, vol. 15(4), pages 1-13, February.

    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:205:y:2017:i:c:p:732-740. 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.