Ontology-Based Approach Supporting Multi-Objective Holistic Decision Making for Energy Pile System
Author(s): |
Kun Meng
Chunyi Cui Haijiang Li Hailong Liu |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 18 January 2022, n. 2, v. 12 |
Page(s): | 236 |
DOI: | 10.3390/buildings12020236 |
Abstract: |
The traditional way of designing energy pile system is mostly single domain/objective oriented, which lacks of means to coherently consider different while relevant factors across domains. The cost for life cycle design, construction and maintenance, return of investment, CO2 emission related sustainable requirements, and so on also need to be considered, in a systematic manner, along with the main functional design objective for loading capacity and robustness. This paper presents a novel multi-objective holistic approach for energy pile system design using ontology based multi-domain knowledge orchestration, which can holistically provide the designers with across domain factors regarding financial, safety, and environmental impact, for smart and holistic consideration during the early design stage. A prototypical ontology-based decision tool has been developed, aiming at the holistic optimization for energy pile system by combining ontology and Semantic Web Rule Language rules. A case study was performed to illustrate the details on how to apply knowledge query to provide a series of design alternatives autonomously by taking different design parameters into account. The method has demonstrated its practicability and scientific feasibility, it also shows the potential to be adopted and extended for other domains when dealing with multi-objective holistic design making. |
Copyright: | © 2022 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
3.23 MB
- About this
data sheet - Reference-ID
10661221 - Published on:
28/03/2022 - Last updated on:
01/06/2022