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Methods, challenges, and possible improvements in climate zoning for buildings: A comprehensive literature review
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DOI：10.1016/j.egyr.2026.109424.png)
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Abstract
En 中文
• Review is based on “what is classified” and “how” questions in climate zoning. • Climate zoning methods were examined across scales. • Challenges and future directions for resilient CZB were highlighted. • Possible unified, high-resolution CZB development was discussed. • A standard algorithm was proposed to guide effective and reliable CZB.
Keywords:
ASHRAE
the American Society of Heating, Refrigerating and Air-Conditioning Engineers
AT
air temperature
BES
building energy simulation
CA
cluster analysis
CDD
cooling degree-day
CDH
cooling degree-hour
CZB
climate zoning for buildings
DD
degree-day
GIS
geographic information systems
HDD
heating degree-day
HC
hierarchical clustering
HVAC
heating, ventilation, and airconditioning systems
KC
k-mean clustering
KG
Koppen-Geiger
ML
machine learning
PIC
predefined interval classification
RH
relative humidity
RS
remote sensing
TMY
typical meteorological year
Building energy efficiency
Building energy simulation
Climate zoning
Climatic variables
Cluster analysis
Degree-days
Machine learning
Journal
E
IF:
5.1
Papers:
658
Citations:
0
Organization
No organization information available
Cited Papers