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Latent relationships between construction cost and energy efficiency in multifamily green buildings

Latent relationships between construction cost and energy efficiency in multifamily green buildings

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Energy Generation and Efficiency Technologies for Green Residential Buildings — Recommend this title to your library

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Residential buildings have accounted for more than 20% of total energy usage in the United States over the last decade. Reducing household energy consumption has environmental and economic impacts. Building scientists and construction engineers have attempted to obtain accurate energy use prediction; however, few have focused on the relationship between construction cost and energy use. This chapter investigates the associations among detailed construction cost takeoffs and actual energy use in multifamily green buildings. The researchers employ advanced machine-learning analytics to model the correlations between construction costs and energy use data collected from multifamily residential units. The findings identify cost divisions in the construction stage that significantly correlate with energy use in the operational stage. The model allows developers to predict energy consumption based on construction costs and enables them to adjust their investment strategies to amplify the energy efficiency of green building technologies.

Chapter Contents:

  • 8.1 Introduction
  • 8.2 Literature review
  • 8.2.1 Green design and construction
  • 8.2.2 Residential certifications and rating systems
  • 8.2.3 Certifying residential buildings
  • 8.3 Sustainable development trends
  • 8.4 Construction costs, green premiums, and paybacks
  • 8.5 Methodology
  • 8.5.1 Variables
  • 8.5.2 Data
  • 8.5.3 Data analysis
  • 8.5.4 Findings
  • 8.6 Energy use and development costs
  • 8.7 Model 1: Cost information only
  • 8.7.1 Algorithm comparison
  • 8.7.2 Feature selection
  • 8.8 Model 2: Basic and cost information
  • 8.8.1 Algorithm comparison
  • 8.8.2 Feature selection
  • 8.9 Model 3: Basic, cost, and technical information
  • 8.9.1 Algorithm comparison
  • 8.9.2 Feature selection
  • 8.10 Conclusions
  • References

Inspec keywords: power consumption; cost reduction; energy conservation; construction industry; load forecasting; buildings (structures); correlation methods; learning (artificial intelligence); environmental factors; building information modelling

Other keywords: multifamily residential units; environmental impacts; data correlations; energy efficiency; economic impacts; building innovation; construction cost; energy use prediction; machine-learning analytics; household energy consumption; energy usage; construction engineers; multifamily green buildings; residential buildings; United States; building scientists

Subjects: Construction industry; Building structures; Environmental issues; Civil and mechanical engineering computing; Knowledge engineering techniques; Buildings (energy utilisation)

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