DocumentCode
560044
Title
Intelligent analysis and design of heat pump based hybrid renewable energy systems operating in the Irish cool marine climate
Author
Dimache, Laurentiu ; Lohan, John
Author_Institution
Mech. Ind. Eng. Dept., Galway Mayo Inst. of Technol. (GMIT), Galway, Ireland
fYear
2011
fDate
7-10 Nov. 2011
Firstpage
96
Lastpage
103
Abstract
Addressing concerns about security of energy supply, sustainability and climate change drives the shift towards greener economies based on a combination of energy efficiency and renewable energy systems. Although this transition is accelerating, many economic and technical challenges remain. The development of hybrid energy systems that combine two or more renewable sources have the potential to provide more cost effective and reliable renewable energy fraction when the appropriate size and combination of systems are utilized. This paper presents a methodology that employs artificial intelligence tools for data analysis in order to design and optimize systems that deliver low grade thermal energy to buildings and industrial applications operating in the Irish cool marine climate. The methodology uses measured weather and thermal energy consumption data from both a public building and an industrial process between 2008 and 2009. Results demonstrate significant capital cost reduction with multi-source hybrid systems and improved performance.
Keywords
artificial intelligence; building management systems; data analysis; energy management systems; heat pumps; hybrid power systems; marine power systems; optimisation; renewable energy sources; sustainable development; thermal power stations; Irish cool marine climate; artificial intelligence; building application; climate change; data analysis; energy efficiency; energy supply security; greener economy; heat pump design; hybrid renewable energy system; industrial application; industrial process; intelligent analysis; multisource hybrid system; sustainability security; thermal energy; thermal energy consumption data; weather data; Artificial neural networks; Energy storage; Marine animals; Solar heating; System-on-a-chip; Testing; artificial intelligence; maritime climate; optimization; thermal hybrid renewable energy system;
fLanguage
English
Publisher
ieee
Conference_Titel
Sustainable Technologies (WCST), 2011 World Congress on
Conference_Location
London
Print_ISBN
978-1-4577-1311-8
Type
conf
Filename
6114247
Link To Document