scholarly journals Development of an Online Toolkit for Measuring Commercial Building Energy Efficiency Performance -- Scoping Study

2013 ◽  
Author(s):  
Na Wang
Keyword(s):  
Energy Efficiency ◽  
Building Energy ◽  
Building Energy Efficiency ◽  
Commercial Building ◽  
Scoping Study ◽  
Efficiency Performance

scholarly journals Estimation of Building Energy Efficiency Performance Using Radial Basis Function Neural Network

2018 ◽  
Vol 7 (4.35) ◽  
pp. 755 ◽  
Author(s):  
Che Munira Che Razali ◽  
Shamsul Faisal Mohd Hussein ◽  
Nolia Harudin ◽  
Shahrum Shah Abdullah
Keyword(s):  
Neural Network ◽  
Energy Efficiency ◽  
Radial Basis Function ◽  
Basis Function ◽  
Residential Building ◽  
Building Energy ◽  
Estimation Methods ◽  
Building Energy Efficiency ◽  
Radial Basis ◽  
Efficiency Performance

Since a pass few decades up to recent, building energy efficiency performance is the top priority due to the sustainability of energy and quality of life. According to recent study related to computer experiment, there are various types of the model has been proposed by the researcher to improve the performance of building energy efficiency. However, there is no empirical evidence to prove the best method in prediction and estimation of energy efficiency that ensure adequate energy to meet todays and future needs. The objective of this paper is to propose Radial Basis Function Neural Network (RBFNN) for estimating the heating load and cooling load of a residential building. This study set out to evaluate different estimation methods of residential building energy efficiency using RBFNN. The data of residential building are obtained from UCI Machine Learning Repository. The dataset of simulation using Ecotect consists of 768 samples with 8 input features and 2 output variables were used to train and test the algorithm of RBFNN. The input variables involved in this experiment are relative compactness, surface area, wall area, roof area, overall height, orientation, glazing area, and glazing area distribution of a building, while the output variables are heating and cooling loads of the building. The analytical result of the proposed method shows that RBFNN produces better result and performance compared with the previous researches.

scholarly journals The New Market Transformation Needed for Commercial Building Energy Efficiency

2016 ◽  
Vol 9 (1) ◽  
pp. 229
Author(s):  
Valerie Patrick ◽  
Leslie A. Billhymer ◽  
William Shephard
Keyword(s):  
Energy Efficiency ◽  
Energy Use ◽  
Building Energy ◽  
Department Of Energy ◽  
Building Energy Efficiency ◽  
Commercial Building ◽  
Innovation Cluster ◽  
Stakeholder Perspectives ◽  
Regional Market ◽  
Market Transformation

The U.S. Department of Energy [DOE] established the Consortium for Building Energy Innovation [CBEI] to address commercial building energy efficiency as an innovation cluster, where the regional market context (Note 1) guides the research agenda for market transformation (Porter, 2001). CBEI develops content to support Advanced Energy Retrofits (AERs), a retrofit which results in 50% or greater reduction in building energy use, in small- and medium- sized commercial buildings (less than 250 000 ft<sup>2</sup>). The challenge is collecting input for a market with many stakeholders so that a strategy emerges to implement AERs. This research applies systems and complexity theories to develop a strategy to promote the emergence of AERs in this market incorporating multiple stakeholder perspectives (Note 2).

Sign in / Sign up

Export Citation Format

Share Document