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Comparison of three climatic zoning methodologies for building energy efficiency applications
HighlightsSignificant difference in results for a small country with moderate climatic variations.The three methods analysed disagree in the classification of 37% of the country.Climatic zoning based purely on weather data leads to arbitrary delineation of zones.There are no procedures nor performance indicators to assess climatic zoning quality.There is a high uncertainty in transition areas between zones.
AbstractClimatic zoning for building energy efficiency applications is a key element in many programs and policies to improve thermal performance of buildings. In spite of its importance, there is no consensus about the appropriate methodology for climatic zoning. Previous studies indicate a large variety of methods and parameters are currently used for climatic zoning: degree-days, cluster analysis and administrative divisions are some of the most widely used. This study reports and reviews results obtained with these three methodologies for Nicaragua, a small country in Latin America. Results indicate a high level of agreement between the different methodologies, but they also disagree on the appropriate classification of a significant proportion of the country (37% of Nicaragua’s territory). The three methodologies have strengths and weaknesses, and at present it is impossible to conclude which one is the most appropriate to support building energy efficiency programs and policies. Results of this paper highlight the need for procedures and performance indicators to assess the validity of climatic zoning (which shall be addressed by future studies).
Comparison of three climatic zoning methodologies for building energy efficiency applications
HighlightsSignificant difference in results for a small country with moderate climatic variations.The three methods analysed disagree in the classification of 37% of the country.Climatic zoning based purely on weather data leads to arbitrary delineation of zones.There are no procedures nor performance indicators to assess climatic zoning quality.There is a high uncertainty in transition areas between zones.
AbstractClimatic zoning for building energy efficiency applications is a key element in many programs and policies to improve thermal performance of buildings. In spite of its importance, there is no consensus about the appropriate methodology for climatic zoning. Previous studies indicate a large variety of methods and parameters are currently used for climatic zoning: degree-days, cluster analysis and administrative divisions are some of the most widely used. This study reports and reviews results obtained with these three methodologies for Nicaragua, a small country in Latin America. Results indicate a high level of agreement between the different methodologies, but they also disagree on the appropriate classification of a significant proportion of the country (37% of Nicaragua’s territory). The three methodologies have strengths and weaknesses, and at present it is impossible to conclude which one is the most appropriate to support building energy efficiency programs and policies. Results of this paper highlight the need for procedures and performance indicators to assess the validity of climatic zoning (which shall be addressed by future studies).
Comparison of three climatic zoning methodologies for building energy efficiency applications
Walsh, Angélica (author) / Cóstola, Daniel (author) / Labaki, Lucila C. (author)
Energy and Buildings ; 146 ; 111-121
2017-04-17
11 pages
Article (Journal)
Electronic Resource
English
Review of methods for climatic zoning for building energy efficiency programs
British Library Online Contents | 2017
|Review of methods for climatic zoning for building energy efficiency programs
British Library Online Contents | 2017
|Review of methods for climatic zoning for building energy efficiency programs
British Library Online Contents | 2017
|Review of methods for climatic zoning for building energy efficiency programs
British Library Online Contents | 2017
|