INTELLECTUAL SYSTEMS FOR SUPPORT OF ENERGY SYSTEMS FUNCTIONING AT LEVEL OF DECISION-MAKING

Authors

  • Yevheniia Yevstafiivna Chaikovska Одеський національний політехнічний університет, Ukraine

DOI:

https://doi.org/10.20535/1813-5420.3.2017.117377

Keywords:

intellectual system, forecasting of parameters, decision-making

Abstract

The mathematical substantiation of the intellectual system for supporting the functioning of energy systems based on the forecasting of changes in the parameters of the technological process is proposed. For example, using the proposed intellectual system, an integrated system for estimating the change in air moisture content in a drying chamber for the production of pellet fuel has been developed, which allows decisions on the change in the air flow rate for heating, on the basis of a change in the speed of the electric motor of the air fan at measuring the air temperature at the outlet from the drying chamber. So, for example, based on the proposed intellectual system, an integrated system for maintaining the temperature of local water for drying wood was developed when measuring the temperature of the gases and the temperature of the return water at the inlet to the heat exchanger of the second circuit of the cogeneration system. The decision to change the number of plates of the heat exchanger in accordance with the change in the speed of the electric motor of the air fan makes it possible to maintain the ratio of the production of electric energy and heat, which, for example, in the operation of a cogeneration system with a capacity of 115 kW for the production of 5.8 thousand tons of wood pellets in year reduces the cost of produced energy to 20-30%.

References

Гелетуха, Г.Г. Биоэнергетика в Украине: современное состояние и перспективы развития. Часть 2 [Текст] / Г.Г.Гелетуха, Т.А.Железная, П.П.Кучерук, Е.Н.Олейник, А.В.Трибой // Промышленная теплотехника. – 2015. – Т. 37, № 3. – С. 65–73. – ISSN 0204-3602.

Трошин, А.Г. Развитие процессов и оборудования для производства топливных брикетов из биомассы [Текст] / А.Г.Трошин, В.Ф.Моисеев, И.А.Тельнов, С.И.Завинский // Восточно-Европейский журнал передових технологий. – 2010. – № 8/45 (3). – С. 36–40. – ISSN 1729-3774.

Чайковська, Є.Є. Розробка енергозберігаючої технології підтримки функціонування біодизельної установки у складі когенераційної системи. [Текст] / Є.Є.Чайковська // Восточно-Европейский журнал передовых технологий. – 2016. – № 1/8 (79). – С.4 – 11. – ISSN 1729-3774. – doi:10.15587/1729-4061.2016.59479.

Чайковська, Є.Є. Development of energy-saving technology maintaining the functioning of a drying plant as a part of the cogeneration system [Text] / Є.Є.Чайковська // Восточно-Европейский журнал передовых технологий. – 2016. – Т. 3, № 8 (81). – С.42–46. –ISSN 1729-3774. – doi:10.15587/1729-4061.2016.72540.

Bhattarai, Sujala. Simulation Study for Pneumatic Conveying Drying of Sawdust for Pellet Production [Text] / Sujala Bhattarai, Jae-Heun Oh, Seung-Hee Euh, Dae Hyun Kim, Liang Yu // Drying Technology. – 2014. – Vol. 32.–p. 1142 – 1156. –ISSN 0737-3937.–doi:10.1080/07373937.2014.884575.

Laurila, Jussi. Compression drying of energy wood [Text] / Jussi Laurila, Havimo Mikko, Lauhanen Risto // Fuel Processing Technology. – 2014. – Vol. 124. – p. 286 – 289. –ISSN 0378-3820.–doi:10.1016/j.fuproc.2014.03.016.

Perre, Patrick. Drying of Wood: Principles and Practices [Text] / Patrick Perre, Roger Keey // Handbook of Industrial Drying. – 2014. – p. 797 – 846. –ISSN 978-1-4665-9665-8. – doi: 10.1201/b17208-44.

Yuping, Liu. Application of the self-heat recuperation technology for energy saving in biomass drying system [Text] / Liu Yuping, Aziz Muhammad, Kansha Yasuki, Bhattacharya Sankar, Tsutsumi Atsushi // Fuel Processing Technology. – 2014. – Vol. 117. – p. 66 – 74. –ISSN 0378-3820. – doi: 1016/j.fuproc.2013.02.007.

Wang, Hai-tao. Study of Immune PID Controller for Wood Drying System [Text] / Hai-tao Wang, He-ming Jia // 2013 International Conference on Communication Systems and Network Technologies. – 2013. – p. 827 – 831. –ISBN 1-4673-5603-9. –doi:10.1109/csnt.2013.176.

Zhongfu, Tian. Research on control system of wood drying based on BP Neural Network [Text] / Tian Zhongfu, Li Yuehua // Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Comput-er(MEC).–2013.– p. 36–38. –ISBN 4-4799-2564-3. –doi: 10.1109/mec.2013.6885046.

Issue

Section

ENERGY SYSTEMS AND COMPLEXES