Abstract
In response to increased energy consumption and CO2 emissions, various energy efficiency policies, standards and housing certifications have emerged around the world. These aim to measure and quantify energy efficiency and endorse homes for meeting certain standards according to consistent categories that vary by continent or country. These energy rating systems correspond to a series of criteria and formulations that, through the calculation and combination of multiple variables, establish the classification values. In Chile, there is the Energy Rating System for Housing (CEV), which performs energy efficiency calculations using dynamic heat balance spreadsheets in Microsoft® Excel. When applied for everyday use and at a large scale, this system has the disadvantage of requiring a great deal of processing time for each simulation. This research proposes an improvement to the CEV energy demand calculation mechanism by generating a solution that takes advantage of the use of multiprocessors and implements the various algorithms in the C programming language. The results show that the CEV values obtained with the proposed calculation engine are equal to those of the current system but demonstrate a 76.5% improvement in their processing time.
Highlights
IntroductionThe construction sector is responsible for more than 36% of all energy consumption, and contributes to 39% of global carbon dioxide emissions, with a 30% increase in building energy demands expected by 2060 if systems to improve efficiency are not implemented [1]
To test the implemented algorithms, it was first necessary to evaluate the maximum capacity for the massive processing of consecutive cases using the macros in the spreadsheets mentioned above
The results of our approach and the original approach were similar, indicating that the calculations in both cases were correct, the implementation of the proposed method resulted in improvements
Summary
The construction sector is responsible for more than 36% of all energy consumption, and contributes to 39% of global carbon dioxide emissions, with a 30% increase in building energy demands expected by 2060 if systems to improve efficiency are not implemented [1]. Study and Housing (DITEC), aims to improve people’s its Technical Division of Study and Housing Development (DITEC), aims to improve peoquality of life planning and building ple’s quality of by life designing, by designing, planning and buildingbetter bettercities, cities,neighbourhoods neighbourhoods and and housing. In this context, the MINVU created the Energy
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