In urbanized areas, building and transportation systems generally comprise the majority of greenhouse gas (GHG) emissions and energy consumption. Realization of global environmental sustainability depends upon efficiency improvements of building and transportation systems in the built environment. The selection of efficient buildings and locations can help to improve the efficient utilization of transportation and building systems. Green building design and rating frameworks provide some guidance and incentive for the development of more efficient building and transportation systems. However, current frameworks are based primarily on prescriptive, component standards, rather than performance-based, whole-building evaluations. This research develops a commercial building/site evaluation framework for the minimization of GHG emissions and energy consumption of transportation and building systems through building/site selection. The framework examines, under uncertainty, multiple dimensions of building/site operation efficiencies: transportation access to/from a building site; heating, ventilation, air conditioning, and domestic hot water; interior and exterior lighting; occupant conveyances; and energy supply. With respect to transportation systems, the framework leverages regional travel demand model data to estimate the activity associated with home-based work and non-home-based work trips. A Monte Carlo simulation approach is used to quantify the dispersion in the estimated trip distances, travel times, and mode choice. The travel activity estimates are linked with a variety of existing calculation resources for quantifying energy consumption and GHG emissions. With respect to building systems, the framework utilizes a building energy simulation approach to estimate energy consumption and GHG emissions. The building system calculation procedures include a sensitivity analysis and Monte Carlo analysis to account for the impacts of input parameter uncertainty on estimated building performance. The framework incorporates a life cycle approach to performance evaluation, thereby incorporating functional units of building/site performance (e.g energy use intensity). The evaluation framework is applied to four case studies of commercial office development in the Atlanta, GA metropolitan region that represent a potential range of building/site alternatives for a 100-employee firm in an urbanized area. The research results indicate that whole-building energy and GHG emissions are sensitive to building/site location, and that site-related transportation is the major determinant of performance. The framework and findings may be used to support the development of quantitative performance evaluations for building/site selection in green building rating systems and other efficiency incentive programs designed to encourage more efficient utilization and development of the built environment.

Reducing and managing the environmental impacts of building structures has become a priority of building stakeholders and within the architecture, engineering and construction (AEC) community; although, conflicting approaches and methods to combat the issues are present. For example, green building standards are widespread throughout the world; however each one has its own characteristics and consequently its own specific requirements. While all have proven to be effective rating systems and have similar requirements, the distinguishing characteristic that separates them is their treatment of performance and prescriptive metrics. The feature they all severely lack or currently limit is the inclusion of strict engineering evaluation through energy simulations; hence, the reason why they fail to offer procedural steps to meet performance metrics. How can design professionals design energy efficient buildings with such constraints? Fortunately, advances in technology have allowed design professionals access to content found in Building Information Modeling (BIM). However, extracting pertinent information for specific use in energy analysis is problematic because BIM software currently available is filled with interoperability issues when placed in external software for energy analysis and energy analysis software itself is created with many assumptions that affect the tabulated energy results. This research investigates current building rating systems, determines how current professionals meet energy requirements, and prove that it is possible to create an add-on feature to Autodesk Revit that will allow design professionals to extract the needed information to meet energy goals with actual prescribed methods of mechanical systems selection and evaluation.