an energy and water resource demand estimation model for multi-family housing complexes in korea能源和水资源需求评估模型在韩国多户型住宅.pdfVIP

Energies 2012, 5, 4497-4516; doi:10.3390/en5114497 OPEN ACCESS energies ISSN 1996-1073 /journal/energies Article An Energy and Water Resource Demand Estimation Model for Multi-Family Housing Complexes in Korea Dongjun Suh 1 and Seongju Chang 2,* 1 Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 305-701, Korea; E-Mail: djsuh@kaist.ac.kr 2 KAIST Institute for Urban Space and Systems (KIUSS), KAIST, Daejeon 305-701, Korea * Author to whom correspondence should be addressed; E-Mail: schang@kaist.ac.kr; Tel.: +82-42-350-3627; Fax: +82-42-350-4540. Received: 18 September 2012; in revised form: 27 October 2012 / Accepted: 7 November 2012 / Published: 13 November 2012 Abstract: This paper proposes and develops a residential energy and resource consumption estimation model in the context of multi-family residential housing in Korea using a multi-layer perceptron (MLP) neural network. Eight indicators are introduced which affect the energy and water resource usage characteristics of Korean residential complexes. The proposed model precisely estimated the electricity, gas energy and water consumption for each examined residential complex. In terms of validation, the results showed the highest level of agreement with actually collected datasets. The model shows promising prospects in providing necessary estimations, not only for optimally scaling and sizing energy- and water-r