Issue |
E3S Web Conf.
Volume 209, 2020
ENERGY-21 – Sustainable Development & Smart Management
|
|
---|---|---|
Article Number | 02027 | |
Number of page(s) | 4 | |
Section | Session 1. Towards Intelligent Energy Systems | |
DOI | https://doi.org/10.1051/e3sconf/202020902027 | |
Published online | 23 November 2020 |
Development of a software platform for the design of district heating systems
Melentiev Energy Systems Institute SB RAS, Irkutsk, Russia
* Corresponding author: sokolov_dv@isem.irk.ru
The paper presents a new methodological approach to developing a universal platform for the design of district heating systems. The reasons for the development of the platform are considered and a scientific statement of the problem is given. The main methodological results obtained during the development of the platform are presented. The description of the scientific and practical significance of the results is given. A new methodological approach was developed using modern information technologies. The methodological approach is based on the paradigm of Model-Driven Engineering. The essence of this paradigm is that the software is generated on the base of formal description provided by the models. The proposed approach allows one to successfully solve the problem of separation of methods for solving applied problems and models of elements of a district heating system. The paper describes the developed architecture of the software platform. A description of the architectural subsystems of the platform is presented: the computing subsystem and the graphics subsystem.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.