Abstract:
Buildings account for approximately 40% of the global energy consumption and 36% of total carbon
dioxide emissions. At present, high emphasis is given on the reduction of energy consumption and carbon
footprint by optimizing the performance and resource utilization of buildings to achieve sustainable
development. Building performance is analyzed in terms of energy performance, indoor environment for
human comfort & health, environmental degradation and economic aspects. As for the energy performance
analysis, this can be best modeled and optimized by a whole building energy simulation tool coupled with an
appropriate optimization algorithm. Building performance optimization problems are inherently multivariate
and multi-criteria. Optimization methodologies with different characteristics that are broadly classified as
Adaptive, Non-adaptive and Pareto Algorithms can be applied in this regard. The paper discusses the
applicability of the aforementioned optimization methodologies in building performance optimization for
achieving realistic results.
