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Credit Optimization Algorithm for Calculating LEED Costs

Author

Listed:
  • Jae-Yong Park

    (Graduate School of Civil, Environment and Architectural Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea)

  • Sul-Geon Choi

    (Department of Architecture, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea)

  • Da-Kyung Kim

    (Ecolead Corporation, 329 Hangang-daero, Yongsan-gu, Seoul, 04320, Korea)

  • Min-Chul Jeong

    (Global Loss Control Center, Ph.D., 11th Fl., Samsung Fire & Marine Insurance Co., Ltd., 29 Eulji-ro, Jung-gu, Seoul 04523, Korea)

  • Jung-Sik Kong

    (Faculty of Civil, Environment and Architectural Engineering, Korea University, 145 Anam-ro, Seongbuk-gu 02841, Korea)

Abstract

As environmental and energy issues continue to emerge as global concerns, Leadership in Energy and Environmental Design (LEED) certification is becoming highly valued. However, since additional costs for LEED certification cannot be estimated before proceeding with certification projects, financial losses are often incurred. Additional construction costs are the most significant issue faced by enterprises aiming for LEED certification. Rough estimates of the range of additional construction costs are available, but it is difficult to identify factors that increase or decrease the price of a building. Thus, there is a need for a program that provides average data for LEED certification costs and suggests the easiest way to attain credits for a building. Considering that LEED certification is a rating system, this study develops an optimization algorithm that aims to derive the minimum score for a desired LEED level at minimal cost. Credits are studied and classified by their difficulty and the required cost, allowing for an algorithm that can suggest a customized approach to acquire the minimal required score. The practical, data-driven program developed herein helps shorten the consulting process and increases the accessibility of LEED certification.

Suggested Citation

  • Jae-Yong Park & Sul-Geon Choi & Da-Kyung Kim & Min-Chul Jeong & Jung-Sik Kong, 2017. "Credit Optimization Algorithm for Calculating LEED Costs," Sustainability, MDPI, vol. 9(9), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:9:p:1607-:d:111422
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    References listed on IDEAS

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    1. Luay N. Dwaikat & Kherun N. Ali, 2016. "Measuring the Actual Energy Cost Performance of Green Buildings: A Test of the Earned Value Management Approach," Energies, MDPI, vol. 9(3), pages 1-20, March.
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    Cited by:

    1. Duy Hoang Pham & Byeol Kim & Joosung Lee & Abraham Chiwon Ahn & Yonghan Ahn, 2020. "A Comprehensive Analysis: Sustainable Trends and Awarded LEED 2009 Credits in Vietnam," Sustainability, MDPI, vol. 12(3), pages 1-15, January.
    2. 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.
    3. Chen-Yi Sun & Yin-Guang Chen & Rong-Jing Wang & Shih-Chi Lo & Jyh-Tyng Yau & Ya-Wen Wu, 2019. "Construction Cost of Green Building Certified Residence: A Case Study in Taiwan," Sustainability, MDPI, vol. 11(8), pages 1-10, April.

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