Since environmental and energy issues and challenges continues to emerge as key global concerns, Green Building Certification Systems are becoming increasingly relevant in the construction industry. In this regard, LEED (Leadership in Energy and Environmental Design) is considered one of the most widely recognized environmental assessment methods used globally in the construction industry today. However, due to the high level of complexity of the LEED system, the tools usually used to verify the achievement of the credits lack of “design friendliness” and hardly communicate effectively with the conventional tools used by architects and engineers (e.g. CAD, BIM). This makes difficult to fully take into account, especially at the early design stage, the many interconnected aspects that contribute to the green certification, with consequent issues often arising in the design validation and/or construction phases, resulting in time delays and cost increments. The application of innovative problem-solving methods, such as computational thinking, together with coding techniques, represents an effective way to deal with this issue. This kind of methodology, in fact, allows the requirements of a specific LEED credit to be digitally parametrised and flexibly incorporated into a “designer friendly” working environment. In particular, Visual Programming Languages (VPLs), due to their high simplicity of usage, allow architects and engineers to develop algorithms and thus implement their technical knowledge in the field of environmental design with computer programming skills, useful to improve their tools and keep them constantly updated. The aim of this paper is to illustrate a methodology through which, by merging computational thinking strategies with VPL tools, is possible to keep under control, in the same working environment, all the parameters required to verify in real time the achievement of LEED credits. To demonstrate the flexibility of the approach, dedicated tools developed for the verification of some specific credits at different scales – neighbourhood and building – are illustrated as operational examples of the proposed methodology
