Intelligent Decision Support System for Cooling/Heating Sources Selection of City Buildings Based on Environment and Energy Management

Author

Liu Ying ; Guoyun Li ; Mei Xue ; Xiang Wang

Author_Institution

Inst. of Refrigeration Technol., Univ. of Shanghai for Sci. & Technol., Shanghai, China

fYear

2009

fDate

20-22 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

The intelligent decision support system (IDSS) model for air-conditioning cooling/heating sources selection of city buildings was developed with the comprehensive indexes of energy utilization efficiency and environmental protection concerned at the same time. The knowledge representation mode and inference control strategy were analyzed, while the constructing idea, working procedure and realizing technique for knowledge base and inference engine were also discussed. The EDSS model developed using C language was verified to have small kernel and powerful capability in list processing and data driving, which was successfully used in the scheme choice of cooling/heating sources for an urban office building.

Keywords

air conditioning; building management systems; decision support systems; inference mechanisms; knowledge representation; office environment; C language; EDSS model; Intelligent decision support system; air conditioning; city buildings; cooling/heating sources selection; energy management; energy utilization efficiency; environmental protection; inference control strategy; inference engine; knowledge representation; urban office building; Buildings; Cities and towns; Cooling; Decision support systems; Energy management; Heating; Intelligent structures; Intelligent systems; Knowledge representation; Power system protection;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science, 2009. MASS '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4638-4

Electronic_ISBN

978-1-4244-4639-1

Type

conf

DOI

10.1109/ICMSS.2009.5300912

Filename

5300912