ShinyEnet: an in-house simulation software for data-driven waste-to-energy gasification and pyrolysis
ShinyEnet: データ駆動型廃棄物エネルギー化ガス化・熱分解のための内部シミュレーションソフトウェア (AI 翻訳)
Brkic, Dejan, Buchlovská Nagyová, Judita, Martinovič, Tomáš, Praksová, Renáta, Vojáček, Lukáš, Najser, Jan, Kielar, Jan, Bolom, Václav, Marek, Martin, Běloch, Michal, Praks, Pavel
🤖 gxceed AI 要約
日本語
ShinyEnetは、廃棄物エネルギー化プロセス（ガス化・熱分解）をモデル化するオープンソースシミュレーションソフトウェアである。実運用データと機械学習を活用し、動的シミュレーションや最適化、シナリオ分析を可能にする。チェコIT4Innovationsで開発され、モジュール式モバイルシステムの設計を支援する。
English
ShinyEnet is an open-source simulation software for waste-to-energy processes like gasification and pyrolysis. It uses operational data and machine learning for dynamic simulation, optimization, and scenario analysis. Developed at IT4Innovations in the Czech Republic, it supports modular mobile waste-to-energy unit design.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
本ソフトウェアは、日本の廃棄物処理・エネルギー転換分野にも応用可能なツールである。日本では焼却が主流だが、ガス化・熱分解技術の導入拡大が検討されており、シミュレーションによる効率化・最適化が期待される。
In the global GX context
Waste-to-energy is a key component of the circular economy and renewable energy transition. This open-source simulation tool enables data-driven optimization of gasification and pyrolysis systems, offering accessible technology assessment for researchers and practitioners globally.
👥 読者別の含意
🔬研究者:Provides an open-source platform for simulating waste-to-energy processes, enabling comparative studies and machine learning integration.
🏢実務担当者:Useful for engineers designing or optimizing waste-to-energy facilities, especially decentralized units.
🏛政策担当者:Demonstrates the potential of digital tools in advancing waste-to-energy as a decarbonization strategy.
📄 Abstract（原文）
Abstract: ShinyEnet is an open-source software tool for modelling waste-to-energy processes, including gasification and pyrolysis. Developed at IT4Innovations, the National Supercomputing Centre of the Czech Republic at VSB - Technical University of Ostrava, it utilizes operational data from experimental facility at the Centre for Energy and Environmental Technologies—Explorer (CEETe), also part of the same university. The software models a modular, mobile, and scalable system that converts waste into gaseous or liquid fuels. ShinyEnet supports dynamic simulation, including component-failure cases, optimization, and scenario analysis. The platform thus facilitates development and assessment of compact and mobile waste-to-energy units and provides tools for addressing municipal waste-management challenges. ShinyEnet is based on real operational datasets, with continuously updated data currently available for the pyrolysis process via real-time monitoring system. The interactive web application is implemented using open-source Python libraries and employs validated historical data and machine-learning models to simulate and optimize system performance. Full Citation: Brkić, D., Buchlovská Nagyová, J., Martinovič, T., Praksová, R., Vojáček, L., Najser, J., Kielar, J., Bolom, V., Marek, M., Běloch, M., & Praks, P. (2026). ShinyEnet: an in-house simulation software for data-driven waste-to-energy gasification and pyrolysis. International Journal of Sustainable Energy, 45(1). https://doi.org/10.1080/14786451.2026.2673270 Funding: The authors received support by: the Ministry of Education, Youth and Sports of the Czech Republic through the e–INFRA CZ (ID: 90254), the EU funds under the project “Increasing the resilience of power grids in the context of decarbonisation, decentralisation and sustainable socioeconomic development”, CZ.02.01.01/00/23_021/0008759, through the Operational Programme Johannes Amos Comenius, and the Technology Agency of the Czech Republic through the project CEET—“Center of Energy and Environmental Technologies” TK03020027. This article has been produced with the financial support of the European Union under the REFRESH - Research Excellence For REgion Sustainability and High-tech Industries project number CZ.10.03.01/00/22_003/0000048 via the Operational Programme Just Transition. Dejan Brkić additionally wants to acknowledge: This work has been supported by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia grant number: 451-03-33/2026-03/200102.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/20340393first seen 2026-05-23 04:12:21 · last seen 2026-05-29 04:15:00
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