Green Building Envelope Designs in Different Climate and Seismic Zones: A Multi-Objective Approach

Strategic Insights -

Researchers from Erciyes University in Turkey have developed a new multi-objective approach to determine the most suitable green building envelope designs for buildings in different climate and earthquake zones. The approach uses energy simulation software, artificial neural networks, and genetic algorithms to optimize energy consumption, CO2 emissions, and material costs.

Key Takeaways:

  • The green building envelope is the most critical component in terms of thermal energy consumption, environment, and indoor comfort criteria.
  • The proposed approach uses EnergyPlus, artificial neural networks (ANN), and genetic algorithms to determine the most suitable green envelope designs for buildings in different climate and seismic zones.
  • The approach allows for searching in a very short time the whole alternative space of green building envelope designs, which is almost impossible to scan with EnergyPlus.
  • The results showed an average accuracy of over 97% for ANN models and mean absolute percent error (MAPE) values ranging from 0.43% to 1.78% for different climate and seismic zones.
  • The study concluded that there is a consistency of over 99% between EnergyPlus and the proposed approach.
  • The researchers used a design-stage city hospital structure in Turkey as a test case for the proposed approach.
  • The green building envelope designs obtained with the proposed approach were entered into EnergyPlus and the consistency of the results was compared.

Statistics:

  • The green building envelope accounts for the most important share in terms of thermal energy consumption, environment, and indoor comfort criteria (unspecified source).
  • The proposed approach uses EnergyPlus, artificial neural networks (ANN), and genetic algorithms to optimize energy consumption, CO2 emissions, and material costs.
  • The results showed an average accuracy of over 97% for ANN models (Green Building Envelope Designs In Different Climate and Seismic Zones: Multi-objective Ann-based Genetic Algorithm).
  • The mean absolute percent error (MAPE) values for each region range from 0.43% to 1.78% (Green Building Envelope Designs In Different Climate and Seismic Zones: Multi-objective Ann-based Genetic Algorithm).
  • The proposed approach has an average consistency of over 99% with EnergyPlus (Green Building Envelope Designs In Different Climate and Seismic Zones: Multi-objective Ann-based Genetic Algorithm).

Sources:

  • Green Building Envelope Designs In Different Climate and Seismic Zones: Multi-objective Ann-based Genetic Algorithm, Sustainable Energy Technologies and Assessments, 2022;53:102505.
  • Elsevier, Radarweg 29, 1043 Nx Amsterdam, Netherlands.
  • Erciyes University, Engineering Faculty, Dept. of Industrial Engineering, Tr-38039 Kayseri, Turkey.
  • NewsRx. Studies from Erciyes University in the Area of Sustainable Energy Described (Green Building Envelope Designs In Different Climate and Seismic Zones: Multi-objective Ann-based Genetic Algorithm). Global Warming Focus. October 10, 2022; p 684.