DEVELOPMENT OF A BUILDING AND DISTRICT SIMULATION TOOL WITH DECENTRALIZED HEAT AND POWER PRODUCTION AND THERMAL ENERGY STORAGE

Εμμανουήλ, Μαλλιωτάκης

dc.contributor.author	Εμμανουήλ, Μαλλιωτάκης	el
dc.date.accessioned	2016-07-06T10:14:07Z
dc.date.available	2016-07-06T10:14:07Z
dc.date.issued	2016-07-06
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/43004
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.2200
dc.rights	Αναφορά Δημιουργού - Μη Εμπορική Χρήση - Παρόμοια Διανομή 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/3.0/gr/	*
dc.subject	district heating, micro-cogeneration, dispersed cogeneration, optimized m-CHP control,Primary energy minimization, διασυνδεδεμένες συνοικίες, αποκεντρωμένη συμπαραγωγή, κεντρικός έλεγχος μ-ΣΗΘ, αυτόνομες συνοικίες, ελαχιστοποίηση πρωτογενούς ενέργειας	el
dc.title	DEVELOPMENT OF A BUILDING AND DISTRICT SIMULATION TOOL WITH DECENTRALIZED HEAT AND POWER PRODUCTION AND THERMAL ENERGY STORAGE	en
dc.contributor.department	Εργαστήριο Ετερογενών Μειγμάτων και Συστημάτων Καύσης	el
heal.type	doctoralThesis
heal.secondaryTitle	ΑΝΑΠΤΥΞΗ ΕΡΓΑΛΕΙΩΝ ΕΝΕΡΓΕΙΑΚΗΣ ΠΡΟΣΟΜΟΙΩΣΗΣ ΚΤΙΡΙΩΝ ΚΑΙ ΣΥΝΟΙΚΙΩΝ ΜΕ ΑΠΟΚΕΝΤΡΩΜΕΝΗ ΠΑΡΑΓΩΓΗ ΚΑΙ ΑΠΟΘΗΚΕΥΣΗ ΘΕΡΜΙΚΗΣ ΕΝΕΡΓΕΙΑΣ	el
heal.generalDescription	An innovating modelling tool (named DEPOSIT) for districts with interconnected buildings and m-CHP units via a thermal and electrical network.It simulates the optimal operation of dispersed cogeneration devices and assists in the evaluation of district heating concepts. New heat and electricity driven operating strategies with primary energy and cost minimization, including variable primary energy factors and electricity prices and heat and electrical demand forecasting.	el
heal.classification	Mechanical Engineering	el
heal.language	el
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2016-06-28
heal.abstract	Recent technological developments in the field of combined heat and power offer new opportunities to increase the efficiency and reduce pollutant emissions. New units, such as fuel cells, offer high thermal and electrical efficiencies and also have the possibility to modulate their output to meet the demand. New m-CHP models have appeared in the market, based on different technologies, with low electrical and thermal outputs. Thereby, the applicability of cogeneration expands to small residential buildings. However, it has been observed in various recent studies, that achievement of satisfactory performance with cogeneration units in small consumers is difficult, due to:  -The required small number of heating hours, mainly in the winter,  -The intermittent heat and electricity demand profiles of residential buildings,  -The low heat and electricity needs of residential buildings As a result, large storage tanks are required and cogeneration is usually limited to buildings which have high requirements for process heat (mainly buildings of the tertiary sector). In order to overcome this problem and to better exploit the potential of cogeneration, the following proposal is made in the frame of the dissertation: the creation of a heat network connecting a group of buildings of different uses that form a neighborhood. In this network, the cogeneration units which are placed in the various buildings, are also interconnected and supply heat to all the buildings in the community. The generated electricity may cover the needs of the district or be sold to the network at a trade price. The idea behind the heat production and demand sharing of the interconnected district is that, the total heat and power profile of the district is smoothened, due to the many users and the statistical variation of their demand curves. This allows the m-CHP units to operate more hours and more efficiently, with less heat storage requirements. In order to examine such an ambitious project, whose success depends on the composition of the buildings, the composition and the number of m-CHP units and the operating strategies, a computational tool has been developed within this thesis, named DEPOSIT. It has the ability to examine many different district configurations, with different buildings and cogeneration devices and with different objectives and operating strategies. The computational tool, creates, based on the district configuration and consumption data for the buildings and other elements, the piping network and calculates at each step the total heat and power requirement. It then calculates how the heat and electrical requirements can be ideally covered, based on the objective of the optimization. Each hour, the ideal operating range of various cogeneration units and the backup units are chosen and the heat buffer management is performed. The two main objectives of the computational tool, are cost and primary energy minimization. For the introduction of higher accuracy in the simulation, the electricity System Marginal Price or the Feed in Tariff for the power market, can be used as an hourly value for electricity export. Also, an hourly primary energy factor for electricity generation is calculated and used. Consequently, the cost savings are not calculated based only on high subsidy prices. Also, the environmental benefit can be obtained with increased accuracy and not with annual average rates. DEPOSIT calculates the hourly operation of all systems for the examined timeframe, together with the costs and the primary energy consumption. The results are also compared to conventional heating systems. In order to demonstrate and assess the capabilities and performance of the DEPOSIT software, two cases studies were simulated: two hypothetical districts in two different cities, with different composition and three cogeneration technologies. One district comprised residential buildings in Athens and the second consisted of commercial district with buildings of the tertiary sector in Munich. The case studies revealed the potential of the DEPOSIT software and the necessity of such tools for the study of complex energy saving problems, as well as the benefits in terms of energy and cost consumption that can be derived from the use of such computational tools.	en
heal.advisorName	Φούντη, Μαρία	el
heal.committeeMemberName	Ρογδάκης, Εμμανουήλ	el
heal.committeeMemberName	Αντωνόπουλος, Κίμων	el
heal.committeeMemberName	Χουντάλας, Δημήτριος	el
heal.committeeMemberName	Κορωνάκη, Ειρήνη	el
heal.committeeMemberName	Καρέλλας, Σωτήριος	el
heal.committeeMemberName	Τζιβανίδης, Χρήστος	el
heal.academicPublisher	Σχολή Μηχανολόγων Μηχανικών	el
heal.academicPublisherID	ntua
heal.numberOfPages	321
heal.fullTextAvailability	true