Next Article in Journal
Power-to-Gas Implementation for a Polygeneration System in Southwestern Ontario
Previous Article in Journal
Effect of Uncertainties in Estimated Carbon Reduction from Deforestation and Forest Degradation on Required Incentive Payments in Developing Countries
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessArticle
Sustainability 2017, 9(9), 1607; doi:10.3390/su9091607

Credit Optimization Algorithm for Calculating LEED Costs

Graduate School of Civil, Environment and Architectural Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea
Department of Architecture, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea
Ecolead Corporation, 329 Hangang-daero, Yongsan-gu, Seoul, 04320, Korea
Global Loss Control Center, Ph.D., 11th Fl., Samsung Fire & Marine Insurance Co., Ltd., 29 Eulji-ro, Jung-gu, Seoul 04523, Korea
Faculty of Civil, Environment and Architectural Engineering, Korea University, 145 Anam-ro, Seongbuk-gu 02841, Korea
Author to whom correspondence should be addressed.
Received: 1 August 2017 / Revised: 5 September 2017 / Accepted: 5 September 2017 / Published: 9 September 2017
View Full-Text   |   Download PDF [1926 KB, uploaded 9 September 2017]   |  


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. View Full-Text
Keywords: green building; LEED; credit; building energy; certification; LEED cost green building; LEED; credit; building energy; certification; LEED cost

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Park, J.-Y.; Choi, S.-G.; Kim, D.-K.; Jeong, M.-C.; Kong, J.-S. Credit Optimization Algorithm for Calculating LEED Costs. Sustainability 2017, 9, 1607.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top