Author(s) | |
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Abstract |
A climate analysis is one of the first aspects to be considered within the design process of an architect or engineer. In this study, a procedure was developed with the intent of creating a climate analysis that gives information showing how the climate impacts the built structures. Current methods of climate analysis can be arbitrary with vague standards. Climate analysis informs on passive and active strategies that act in harmony to reduce energy use and cost within the final design of the buildings. The purpose of a climate analysis is to optimize the relationship between the building energy and resource needs with the environment around it. There is a variety of tools, software, and on and off-line resources available to contribute to an analysis. One of the many resources, Climate Consultant is a good choice due to its accessibility across operating systems. As well as its organized, descriptive and visually graphic results that can produce a cohesive conclusion. Climate Consultant has an easy-to-understand system that provides necessary information at no cost, in order to perform an analysis. By minimizing the findings to annual graphs when available, it reduces the decoding process of multiple repetitive graphs, therefore speeding up time while ending with the same desired results. This study resulted in a method that consolidates the resources in a more effective analysis approach. |
Format | |
Publication Date |
2017-03-21
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Contributor(s) |
Faculty Mentor
Mr. Peter Marks |
Subject | |
Modified Abstract |
An architect or engineer’s priority within the design process of a building begins with the Climate Analysis. In this study, a standardized procedure was produced to ensure an effective and efficient process. Current methods of climate analysis can be arbitrary with vague standards which could lead to redundant information. Among the resources, Climate Consultant was the main factor in completing the climate analysis in this study. Many of the graphs produced by the system break down the information into time specific graphs. By minimizing the findings to annual graphs when available, it reduces the decoding process of multiple repetitive graphs, therefore speeding up time while ending with the same desired results. |
Permalink | https://oaks.kent.edu/ugresearch/2017/architecture/8 |