H2020Индивидуална стипендия2017–2019

DYNCON-ORC · Dynamic performance modelling and controller design of a mini-scale organic Rankine cycle unit for heavy duty vehicles

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2017-05-01 → 2019-07-31
Финансиране от ЕС
212 195 €
Участници
1
Схема
MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Системата за органичен ранкинов цикъл (ORC) улавя отпадната топлина от двигатели на тежкотоварни автомобили, за да я превърне в енергия. Това помага за намаляване на разхода на гориво и на вредните емисии от въглероден диоксид в транспорта.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Dynamic performance modelling and controller design of a mini-scale organic Rankine cycle unit for heavy duty vehicles

Internal combustion engines of heavy duty vehicles convert only approximately 40 % of the combustion heat to mechanical power, while rest of the heat is rejected into the environment as waste heat. An organic Rankine cycle (ORC) unit that recovers part of this waste heat can significantly reduce the fuel consumption and carbon dioxide emissions of heavy duty transportation. This project addresses the dynamic modelling and control aspects of the ORC system for waste heat recovery from heavy duty vehicles. To this end, a non-linear model predictive controller has been developed for organic Rankine cycle for waste heat recovery from heavy duty vehicles in this project. The research results have demonstrated that the dynamic model can predict the dynamic response of the ORC system within reasonable accuracy compared with experimental data. The selection of the heat exchanger modelling approach in the dynamic model of ORC system significantly effects the computational time and accuracy of the results. The results suggest that the finite volume approach for dynamic modelling of heat exchanger with appropriate heat transfer and pressure drop correlations outperforms the moving boundary layer in terms of computational time and accuracy to predict the dynamic response. The non-linear model predictive controller has effectively rejected the disturbance caused by the exhaust waste heat while maintaining the optimum operating condition. The non-linear model predictive controller has outperformed the traditional proportional–integral–derivative controller in terms of response time and power output of the ORC system.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Internal combustion engines of heavy duty vehicles convert only approximately 40 % of the combustion heat to mechanical power, while rest of the heat is rejected into the environment as waste heat. An organic Rankine cycle unit that recovers part of this waste heat is expected to reduce the fuel consumption and carbon dioxide emissions by about 15 % of the heavy duty vehicle. However, the waste heat from internal combustion engines of heavy duty vehicles is characterized by large fluctuations in load, making it a challenging task to control an organic Rankine cycle unit in an efficient, safe and cost-effective manner. A few prototype of mini organic Rankine cycle units for truck applications have been tested, but no commercial products are available; the aforementioned control challenge being the major barrier for their commercialization. The primary objective of DYNCON-ORC is to develop an appropriate controller for a mini-scale organic Rankine cycle unit for waste heat recovery from internal combustion engines of heavy duty vehicles. Advanced numerical models of the organic Rankine cycle unit including its components will be developed for simulation of the steady state and dynamic operational conditions. Based on the results of the dynamic model, a non-linear model predictive controller will be designed and optimized. The numerical models will be experimentally validated and implemented on a real organic Rankine cycle system. Through the collaboration with international, world-leading partners from industry and academia it is ensured that the project will be successfully completed and that the findings of the project will be transferred to and implemented in industry. In broader terms, the project will contribute to the development of a more efficient energy system for vehicles, reducing the fuel consumption and carbon dioxide emissions of the transportation sector, thus helping to attain socio-economic and environmental targets in context of the EU 2020 vision.

Оригинален текст от CORDIS (на английски).

Участници

  • DANMARKS TEKNISKE UNIVERSITET · Kongens LyngbyКоординаторДания

Връзки

Данни: CORDIS, © Европейски съюз