Title :
A predictive model for the energetic management of a mCHP-Stirling heating unit
Author :
Radaschin, A. ; Apostol, V. ; Udrescu, F. ; Vladut, G.
Author_Institution :
Res., Dev., Eng. & Manuf. for Autom. Equip. & Syst. Subsidiary, SC IPA SA, Galati, Romania
Abstract :
The cogeneration systems of thermo and electrical energies with a mCHP-Stirling heating unit (micro Combined Heat and Power - Stirling), using a local electrical network require a management system which manages the generating process in such a way to ensure the continuity of the energy supply for the rest of the consumers with maximum efficiency of the primary energy conversion and minimal costs. Firstly, the paper shows which is the place of the energy management system (EM) in the analyzed process and it presents the general equations of the system´s elements. The main function of the EM module consists in setting the functioning programs of the mCHP-Stirling heating unit and of the auxiliary burner, under certain restrictions linked to the maximum number of allowed connections, the heat and electrical energy levels respectively from the accumulators and of the heat and electrical energy ratio generated by the mCHP. Next, the paper presents a predictive model for the heat energy required to maintain the desired interior temperature in a house, taking into account the exterior temperature obtained from the weather forecast and the surface of the building. The simulations of the predictive model have been done in the Matlab environment. The program is going to be completed with predictive models for the hot water consumption and electrical power demand.
Keywords :
Stirling engines; building management systems; energy management systems; thermoelectric conversion; Matlab environment; electrical power demand; energetic management; energy management system; generating process; hot water consumption; local electrical network; mCHP-Stirling heating unit; minimal costs; predictive model; primary energy conversion; weather forecast; Equations; Mathematical model; Power systems; Predictive models; Resistance heating; Water heating;
Conference_Titel :
Electrical and Electronics Engineering (ISEEE), 2010 3rd International Symposium on
Conference_Location :
Galati
Print_ISBN :
978-1-4244-8406-5
DOI :
10.1109/ISEEE.2010.5628485