Evaluation of Excess Heat Utilization in District Heating Systems by Implementing Levelized Cost of Excess Heat

Doračić, Borna; Novosel, Tomislav; Pukšec, Tomislav; Duić, Neven

doi:10.3390/en11030575

Cited by 29 publications

(17 citation statements)

References 37 publications

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“…Finally, in order to compare the scenarios from the economic perspective, levelized cost of heat for the whole system has been calculated for each scenario, by using the equation presented in [31]. It has to be pointed out that the boundaries of this approach are that the results are highly case sensitive and input data sensitive but are therefore used to present a qualitative analysis of the variable excess heat integration into the district heating system.…”

Section: Figure 2 Schematic View Of the System Modelled In Energypromentioning

confidence: 99%

Excess heat utilization combined with thermal storage integration in district heating systems using renewables

et al. 2020

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District heating systems already play an important role in increasing the sustainability of the heating sector and decreasing its environmental impact. However, a high share of these systems is old and inefficient and therefore needs to change towards the 4th generation district heating, which will incorporate various energy sources, including renewables and excess heat of different origins. Especially excess heat from industrial and service sector facilities is an interesting source since its potential has already been proven to be highly significant, with some researches showing that it could cover the heat demand of the entire residential and service sector in Europe. However, most analysis of its utilization in district heating are not done on the hourly level, therefore not taking into account the variability of its availability. For that reason, the main goal of this work was to analyse the integration of industrial excess heat into the district heating system consisting of different configurations, including the zero fuel cost technologies like solar thermal. Furthermore, cogeneration units were a part of every simulated configuration, providing the link to the power sector. Excess heat was shown to decrease the operation of peak load boiler and cogeneration, that way decreasing the costs and environmental effect of the system. However, since its hourly availability differs from the heat demand, thermal storage needs to be implemented in order to increase the utilization of this source. The analysis was performed on the hourly level in the energyPRO software.

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Section: Figure 2 Schematic View Of the System Modelled In Energypromentioning

confidence: 99%

Excess heat utilization combined with thermal storage integration in district heating systems using renewables

et al. 2020

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“…The 4GDH concept has addressed this question [3,8]. The technical solution is to lower distribution temperatures with forward/return temperatures reduced to around 55/40 • C. Lower distribution temperatures allows access to larger amounts of waste heat from industries, increases the efficiencies of renewable heat sources, and increases the coefficient of performance (COP) of large-scale heat pumps when converting renewable-based electricity to heat [9,40,41]. The third element makes it possible for the district heating sector to balance the fluctuations from wind and solar electricity generation and provide access to large-scale heat storage units [42,43].…”

Section: Theoretical Frameworkmentioning

confidence: 99%

District Heating Tariffs, Economic Optimisation and Local Strategies during Radical Technological Change

et al. 2020

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This paper addresses economic aspects of heat savings in the context of strategic heat planning. The analysis uses the city of Aalborg, Denmark, as a case where municipalisation through a recent acquisition of a coal-fired cogeneration of heat and power (CHP) plant has made an update of a municipal strategic energy plan necessary. Combining datasets on buildings and insulation techniques with economic methods, we investigate how the local district heating tariff can be adapted to improve the conditions for heat savings and support the transition to lower supply temperatures in line with the requirements of future fourth generation district heating systems. The paper concludes that implementing a fully variable heat tariff scheme improves the financial incentive for heat savings, while also making the system development less vulnerable to fluctuations and shortages in capital markets. The paper supplements existing literature on heat savings with novelty in its approach and in its systematic investigation of the interplay between tariff policies and interest rates.

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“…The second scenario parameter is the cost of heat from the industrial excess heat source in the most southern node of the network. The heat prices considered are: These excess heat costs are substantially higher than the ones discussed by Doračić et al [34], but they are chosen to be in line with the expected cost for an industrial company that needs to invest in a connection of its processes to a district heating system.…”

Section: Scenariosmentioning

confidence: 99%

Integrated Optimal Design and Control of Fourth Generation District Heating Networks with Thermal Energy Storage

et al. 2019

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In the quest to increase the share of renewable and residual energy sources in our energy system, and to reduce its greenhouse gas emissions, district heating networks and seasonal thermal energy storage have the potential to play a key role. Different studies prove the techno-economic potential of these technologies but, due to the added complexity, it is challenging to design and control such systems. This paper describes an integrated optimal design and control algorithm, which is applied to the design of a district heating network with solar thermal collectors, seasonal thermal energy storage and excess heat injection. The focus is mostly on the choice of the size and location of these technologies and less on the network layout optimisation. The algorithm uses a two-layer program, namely with a design optimisation layer implemented as a genetic algorithm and an optimal control evaluation layer implemented using the Python optimal control problem toolbox called modesto. This optimisation strategy is applied to the fictional district energy system case of the city of Genk in Belgium. We show that this algorithm can find optimal designs with respect to multiple objective functions and that even in the cheaper, less renewable solutions, seasonal thermal energy storage systems are installed in large quantities.

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Evaluation of Excess Heat Utilization in District Heating Systems by Implementing Levelized Cost of Excess Heat

Cited by 29 publications

References 37 publications

Excess heat utilization combined with thermal storage integration in district heating systems using renewables

Excess heat utilization combined with thermal storage integration in district heating systems using renewables

District Heating Tariffs, Economic Optimisation and Local Strategies during Radical Technological Change

Integrated Optimal Design and Control of Fourth Generation District Heating Networks with Thermal Energy Storage

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