scholarly journals Ontologies to Enable Interoperability of Multi-Agent Electricity Markets Simulation and Decision Support

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1270
Author(s):  
Gabriel Santos ◽  
Tiago Pinto ◽  
Zita Vale

This paper presents the AiD-EM Ontology, which provides a semantic representation of the concepts required to enable the interoperability between multi-agent-based decision support systems, namely AiD-EM, and the market agents that participate in electricity market simulations. Electricity markets’ constant changes, brought about by the increasing necessity for adequate integration of renewable energy sources, make them complex and dynamic environments with very particular characteristics. Several modeling tools directed at the study and decision support in the scope of the restructured wholesale electricity markets have emerged. However, a common limitation is identified: the lack of interoperability between the various systems. This gap makes it impossible to exchange information and knowledge between them, test different market models, enable players from heterogeneous systems to interact in common market environments, and take full advantage of decision support tools. To overcome this gap, this paper presents the AiD-EM Ontology, which includes the necessary concepts related to the AiD-EM multi-agent decision support system, to enable interoperability with easier cooperation and adequate communication between AiD-EM and simulated market agents wishing to take advantage of this decision support tool.

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1364 ◽  
Author(s):  
Sławomir Francik ◽  
Adrian Knapczyk ◽  
Artur Knapczyk ◽  
Renata Francik

The biomass is regarded as a part of renewable energy sources (RES), which can satisfy energy demands. Biomass obtained from plantations is characterized by low bulk density, which increases transport and storage costs. Briquetting is a technology that relies on pressing biomass with the aim of obtaining a denser product (briquettes). In the production of solid biofuels, the technological as well as material variables significantly influence the densification process, and as a result influence the end quality of briquette. This process progresses differently for different materials. Therefore, the optimal selection of process’ parameters is very difficult. It is necessary to use a decision support tool—decision support system (DSS). The purpose of the work was to develop a decision support system that would indicate the optimal parameters for conducting the process of producing Miscanthus and willow briquettes (pre-comminution, milling and briquetting), briquette parameters (durability and specific density) and total energy consumption based on process simulation. Artificial neural networks (ANNs) were used to describe the relationship between individual parameters of the briquette production process. DSS has the form of a web application and is opened from a web browser (it is possible to open it on various types of devices). The modular design allows the modification and expansion the application in the future.


2018 ◽  
Vol 8 (3) ◽  
pp. 328 ◽  
Author(s):  
Brígida Teixeira ◽  
Tiago Pinto ◽  
Francisco Silva ◽  
Gabriel Santos ◽  
Isabel Praça ◽  
...  

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