Optimization model for the selection of materials using a LEED-based green building rating system in Colombia

• Published in: Building and environment Vol. 44; no. 6; pp. 1162 - 1170
• Main Authors: Castro-Lacouture, Daniel, Sefair, Jorge A., Flórez, Laura, Medaglia, Andrés L.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.06.2009; Elsevier
• Subjects: Applied sciences; Appropriate technology; Bioclimatic building; Budgeting; Building design; Buildings; Buildings. Public works; Carbon; Colombia; Construction costs; Design engineering; Economics; Energy use; Environmental impact; Exact sciences and technology; Green building; Leadership; Low energy electron diffraction; Material selection; Materials selection; Mixed integer; Mixed integer linear programming; Movement; Optimization; Ratings; Sustainable building rating systems; Types of buildings; South America; Colombia; America; Material selection; Green building; Sustainable building rating systems; Mixed integer linear programming; Building design; Sensitivity analysis; Linear programming; Modeling; Optimization; Design; Integer programming; Requirement; Numerical analysis; Energy; Example; Environment; Sustainable management
• ISSN: 0360-1323; 1873-684X
• DOI: 10.1016/j.buildenv.2008.08.009

Buildings have a significant and continuously increasing impact on the environment because they are responsible for a large portion of carbon emissions and use a considerable number of resources and energy. The green building movement emerged to mitigate these effects and to improve the building construction process. This paradigm shift should bring significant environmental, economic, financial, and social benefits. However, to realize such benefits, efforts are required not only in the selection of appropriate technologies but also in the choice of proper materials. Selecting inappropriate materials can be expensive, but more importantly, it may preclude the achievement of the desired environmental goals. In order to help decision-makers with the selection of the right materials, this study proposes a mixed integer optimization model that incorporates design and budget constraints while maximizing the number of credits reached under the Leadership in Energy and Environmental Design (LEED) rating system. To illustrate this model, this paper presents a case study of a building in Colombia in which a modified version of LEED is proposed.