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An hourly based optimization model of district heating system with building retrofit with the time horizon of one year, case study of Velika Gorica (CROSBI ID 655220)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija

Dorotić, Hrvoje ; Pavičević, Matija ; Novosel, Tomislav ; Pukšec, Tomislav ; Duić, Neven An hourly based optimization model of district heating system with building retrofit with the time horizon of one year, case study of Velika Gorica // Book of abstracts: 3rd International Conference on Smart Energy Systems and 4th Generation District Heating. 2017. str. 109-109

Podaci o odgovornosti

Dorotić, Hrvoje ; Pavičević, Matija ; Novosel, Tomislav ; Pukšec, Tomislav ; Duić, Neven

engleski

An hourly based optimization model of district heating system with building retrofit with the time horizon of one year, case study of Velika Gorica

District heating systems cover 12% of the total heating supply in the European Union. They represent an effective and economically feasible way of increasing energy efficiency and decreasing greenhouse gas emissions. This is possible due to their capability to utilize waste heat and integrate low-temperature energy sources such as geothermal and solar thermal. In addition, they could increase the overall share of renewable energy sources by using power-to-heat technologies such as heat pumps and electrical heaters. Although district heating systems have significant benefits, their potential is still underutilized in most countries. They are currently on the road to their 4th generation of district heating systems which will integrate heating, cooling, gas and electricity networks, intermittent renewable energy sources, waste heat and thermal storage. Due to the numerous interactions of energy and mass flows in the system, its optimization presents a challenge for energy planners. The model presented in this paper is capable of optimizing the capacities and distribution of operation in the economically most suitable way. Technologies included in the system are: combined heat and power, heat only boilers, electrical heaters, heat pumps, solar thermal collectors and thermal storage. The objective function is the overall cost of the system, i.e. sum of yearly operation and maintenance including the discounted investment cost of each technology. The optimization is carried out with a horizon of one year on one-hour basis. Using this approach, seasonal and short-term energy system characteristics can be acquired and analysed. A building retrofit optimization is also included. The model has been used to create and analyse several scenarios for the district heating system of Velika Gorica. Scenarios have been compared according to the: overall carbon dioxide emissions, total cost and levelized cost of heat.

District heating system, energy planning, optimization, MILP, thermal storage

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Podaci o prilogu

109-109.

2017.

objavljeno

Podaci o matičnoj publikaciji

Book of abstracts: 3rd International Conference on Smart Energy Systems and 4th Generation District Heating

Podaci o skupu

3rd International Conference On Smart Energy Systems dnd 4th Generation District Heating Systems

predavanje

12.09.2017-13.09.2017

Kopenhagen, Danska

Povezanost rada

Strojarstvo