Abstract
Application of insulation materials to building envelopes is a relatively easy and effective way of reducing energy use for space conditioning and, consequently, limiting the negative environmental impacts from the buildings sector. While insulation materials have a positive impact on the environment by reducing energy consumption in buildings, they also have some negative environmental impacts associated with their ‘embodied energy’. The total lifetime environmental impacts of insulation materials are a summation of: (1) direct impacts due to their embodied energy, and (2) indirect or environmental impacts avoided due to the reduced building energy consumption.
The indirect impacts are generally much higher than direct impacts of insulation materials and are often calculated by means of numerical modeling. However, whole building energy modeling tools are usually fairly complex and building managers may require significant training to be able to appropriately use those tools. To aid in this effort, a simplified regression algorithm based spreadsheet was developed to quantify energy savings potential without requiring whole-building energy simulations. The objective was to develop a simple Excel based tool that can be used to estimate the electricity and gas savings due to insulation upgrades by providing only a few parameters i.e. the building type, floor area, heating and cooling degree days, and solar radiation. The regression tool was based on the simulation study carried out to estimate the energy savings potential of insulation upgrades of 16 different types of commercial buildings in 15 climatic locations in the United States.
