Performance-based climatic zoning method for building energy efficiency applications using cluster analysis

Multi-objective optimization of latent energy storage in buildings by using phase change materials with different melting temperatures

“…For example, it was recently demonstrated that this zoning can be overlapped up to 37% when it is validated using building energy performance data [25]. To address these limitations, new performancebased climate classifications are being developed for building energy applications [26]. Although performance-based classification has been demonstrated to be more accurate, currently, there is not a global classification or general method to apply.…”

Multi-criterial performance-based climatic zoning of Brazil supported by local experts

“…The work reported in this paper is heavily based on the procedure described in Ref. [18] and implemented in SimZoning, a toolbox for climatic zoning for building energy purposes that provides a set of routines for the development and validation of performance-based climatic zoning. Key aspects of this procedure are described here for brevity, and this section focus mainly on elements not previously reported in the literature.…”

“…A recent study in performance-based zoning demonstrated significant improvement over approaches using only climatic data (e.g. the degree-day method) [18]. Performance-based climatic zoning has so far only been applied in proof-of-concept studies dealing with small territories.…”

“…The core methods for performance-based zoning implemented in accordance with Ref. [18] were adopted without modifications in the present study. However, a key advantage of using open-source tools is the possibility to improve certain routines of the source code whenever required.…”

Analysis of Comprehensive Land Consolidation in Cultivated Land Reserve Resource Areas Based on Two-Level Geographical Unit Division

“…Geographic units are relatively consistent units that are divided by the geographical environment and regional differences. The methods employed in the divided geographical units include remote sensing (RS) recognition [3][4][5][6][7], overlay analysis [8], land type clustering [9][10][11][12][13][14][15], etc. RS recognition is rich in data sources.…”