Abstract
The energy performance of residential and commercial buildings is a vital topic because of the rapid urbanization occurring throughout the world. Accommodation buildings are considered energy intensive compared to other commercial facilities. In addition, they are the main component of the tourism industry. Therefore, various actions and policies have been introduced to improve the energy performance of accommodation buildings. This research depends on a national scale database of energy consumption of commercial buildings in Japan. It is the main source of data to conduct this study. The Database for Energy Consumption of Commercial buildings (DECC) is a national survey that is provided by the Japan Sustainable Building Consortium (JSBC). Based on the DECC, the study presents a general benchmark which is developed by applying regression and artificial neural network (ANN) methods to assess the energy performance of accommodation buildings in the Kanto region, Japan. The study presents a broad benchmark to evaluate basic energy consumption of accommodation building with three variables. In addition, the study highlights the necessity of designing the ANN model through the choosing of hidden layers and training method. The outcomes of each learning method and hidden layer was examined using main indicators to verify its accuracy.
Highlights
Rapid urbanization has increased energy use demands in the building sector
The “Standard of Judgment” is a set of regulatory reference standards and the construction clients that housing and buildings that fall in the designated group under the Act are recommended to use in implementing their energy conservation obligations as mandated by the Energy Conservation Act
Last cluster has (51) samples and shows good results compared to cluster 1 as a small size of samples, it is illustrated in Figure 3d and it has a good value of coefficient variation where coefficient of variation (CV) = 0.1
Summary
Rapid urbanization has increased energy use demands in the building sector. Due to the complexity of the energy systems of buildings, it is difficult to achieve accurate analyses. This is because of the variety of energy types and building categories. Commercial buildings contain a wide range of building categories such as offices, health care, sport center, retail, lodging and public building These categories have special energy requirements depending on their substantial function. Accommodation Facilities are more energy intensive than other types of commercial buildings in a majority of countries. It is an essential element of the tourism industry along with transportation and other tourism components. This study utilizes DECC as database to model the energy performance of accommodation buildings since few studies tackled this issue in Japan because of the limitations of data and complexity of this sector
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