Izvorni znanstveni članak
https://doi.org/10.65776/ep.20.2.2
Consideration of an industrial database format for resource recycling and for matching recyclable resources using between industries
Seiya Maki
; National Institute for Environmental Studies, Japan. Social Division
Satoshi Ohnishi
; National Institute for Environmental Studies, Japan. Fukushima Regional Collaborative Research Center
Minoru Fujii
; National Institute for Environmental Studies, Japan. Social Division
Naohiro Goto
; Toyo University
Sažetak
As one of the strategies to mitigate climate change and increase resource use efficiency, there is a need to improve energy recovery and recycling. Then, sector-coupling methods between industries are expected to improve resource recycling efficiency.
This study considered the supply of extracted steam from waste treatment plants (WTP) to neighboring factories. We focused on the fact that the company names contained characteristic terms depending on the type of industry. The target factories of the steam supply were classified into industry types by the LSTM method based on the database of company names, and we estimated spatial steam demand using developed models However, they lack of spatial energy demand data could not validate this model result. From this situation, the process database of industries for matching recyclable resources and the list of company names for estimating the location of industries would need to be developed. Therefore, it is necessary to establish a beneficial system to provide data for validation.
Based on the knowledge obtained from estimating the location of industries based on the company names and estimating the distribution of industrial steam demand, we developed a database arrangement model system.. In this context, trial consideration of the industrial process with Resource Description Framework (RDF) formatting was conducted to enable the data collection and retrieval of process data through a knowledge base.
Ključne riječi
Recyclable resource, Circular economy, Supply-Demand Matching, RDF, Semantic Web
Hrčak ID:
345335
URI
Datum izdavanja:
12.3.2026.
Posjeta: 254 *