Abstract
Generation and consumption of heat power for domestic demand should consider economical and ecological aspects. Integration of the Fuel Cell System (FCS) for heat and electrical power generation into classical building heating systems enables the user to consider the environmental aspects. Hydrogen powered FCS as a source of clean and renewable energy replaces or reduces the classically employed fossil and Gas Heating Systems (GHS). This is the most important motivation for using FCS as a renewable energy source, which reduces the environmental pollution and ensures the demand for heating and electrical energy is met.
By evaluating the thermal behavior of the building and the heating system, Fuzzy Logic Control System (FLCS) provides a powerful rule base for decision-making and guarantees optimal operation of the FCS and the GHS. Additionally, FLCS reduces the switching frequency for both FCS and GHS, which is very important for the maintenance and operational life of the system. As a result, FLCS ensures a low emission operational mode of the GHS. FLCS is also responsible for optimal evaluation of heat power demand. Overall, the entire system consists of three different fuzzy controllers, each responsible for a different function described as: a) Fuzzy Proportional Integral Derivative (PID) Controller for heating water supply temperature; b) a Fuzzy Controller for optimal evaluation of heat power demand; and c) a Fuzzy Controller for the operation of the FCS and GHS with high efficiency and lowest switching frequency.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Introduction to Fuel Cell System: Vaillant Cooperation, Remscheid Germany
Unpublished research report on energy and load management of Fuel Cell systems, Cologne University of Applied Sciences (2008)
Introduction to Intelligent Building: R. Talebi-Daryani, Text book at Keio University Yokohma (2000)
Daryani, R.T.: Application of Fuzzy Logic for control of heating, chilling, and air conditioning Systems
Intelligent Control Systems using soft computing methodologies, Page261-290, CRC-Press (2001)
Talebi-Daryani, R.: Temperature Control and Energy Management of a cascade Heating System using Fuzzy Logic and Lon Works Technology, Control and Monitoring Algorithms in Process Automation. In: Extended Proceedings of the Process Automation Workshop 2008 at the Cologne University of Applied Sciences, pp. 241–253. Shaker Verlag, Aachen (2012)
Daryani, R.T.: Control and Energy Management of a cascade heating system by Fuzzy Logic Control Embedded into a LONWORKS operating Network. In: Integration of Practice-Oriented Knowledge Technology, pp. 259–264. Springer (2013) ISBN 978-3-642-34470-1
Talebi-Daryani, R.: Textbook, Building automation systems Part II, chapter 13: Fuzzy Control systems pp. 256-299, Cologne University of Applied Sciences (2000)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Daryani, R.T. (2015). Integration and Operation of Fuel Cell and Gas Heating System by Fuzzy Logic Control. In: Fathi, M. (eds) Integrated Systems: Innovations and Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-15898-3_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-15898-3_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15897-6
Online ISBN: 978-3-319-15898-3
eBook Packages: EngineeringEngineering (R0)