4.6 Article

Ontology-Based Approach Supporting Multi-Objective Holistic Decision Making for Energy Pile System

Journal

BUILDINGS
Volume 12, Issue 2, Pages -

Publisher

MDPI
DOI: 10.3390/buildings12020236

Keywords

ontology; holistic design; CO2 emission reduction; energy pile

Funding

  1. National Natural Science Foundation of China [52178315, 51878109]
  2. National Science Foundation for Young Scientists of China [52108326]
  3. National Science Fund for Excellent Young Scholars of China [51722801]
  4. Fundamental Research Funds for Central Universities [3132019601]
  5. Cultivation project of Innovation talent for doctorate student [CXXM2019BS008, BSCXXM022]

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This paper presents a novel multi-objective holistic approach for energy pile system design using ontology based multi-domain knowledge orchestration, which provides designers with smart and holistic consideration by considering different factors such as financial, safety, and environmental impact.
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.

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