Energy Consumption and CO2 Emission of Buildings Built with Industrialized Technology: The Case of Debrecen and Future Trends

2014 ◽  
Vol 899 ◽  
pp. 16-23
Author(s):  
Tamás Csoknyai
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
District Heating ◽  
Energy Performance ◽  
Future Trend ◽  
Building Stock ◽  
Heating Systems ◽  
Heat Demand ◽  
District Heating Systems ◽  
Inefficient Operation

The residential buildings built with prefabricated technology (also called panel buildings) represent a significant part of the building stock, particularly in Eastern Europe. These buildings are typically 30-40 years old and due to their poor energy performance they have been in the focus of energy policy makers over the recent years. These buildings are typically connected to district heating systems and the continuously decreasing heat demand caused by the renovation subsidy programs resulting in risks of inefficient operation and on the long term it questions the viability of the district heating systems. Therefore it is particularly important to have a clear picture on the energy consumption trends about this segment of the building stock. In this paper, the building stock of the city of Debrecen connected to district heating is analysed. The current energy consumption figures of the buildings are analysed. In Debrecen, the share of retrofitted buildings is relatively low (appr. 15%), therefore a future trend analysis was also carried out. The results of this study can be interesting for other cities as well, particularly those with a significant share of “panel buildings”.

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

2020 ◽  
Vol 24 (6 Part A) ◽  
pp. 3673-3684
Author(s):  
Borna Doracic ◽  
Marino Grozdek ◽  
Tomislav Puksec ◽  
Neven Duic
Keyword(s):  
Service Sector ◽  
Peak Load ◽  
District Heating ◽  
Thermal Storage ◽  
Heating System ◽  
District Heating System ◽  
Heating Systems ◽  
Excess Heat ◽  
Heat Demand ◽  
District Heating Systems

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 analyses of its utilisation 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 utilisation of this source. The analysis was performed on the hourly level in the energyPRO software

scholarly journals Techno-economic analysis of implementing thermal storage for peak load shaving in a campus district heating system with waste heat from the data centre

2021 ◽  
Vol 246 ◽  
pp. 09003
Author(s):  
Haoran Li ◽  
Juan Hou ◽  
Yuemin Ding ◽  
Natasa Nord
Keyword(s):  
Waste Heat ◽  
Peak Load ◽  
District Heating ◽  
Thermal Storage ◽  
Heating System ◽  
Water Tank ◽  
District Heating System ◽  
Heating Systems ◽  
Heat Demand ◽  
District Heating Systems

Peak load has significant impacts on the economic and environmental performance of district heating systems. Future sustainable district heating systems will integrate thermal storages and renewables to shave their peak heat demand from traditional heat sources. This article analysed the techno-economic potential of implementing thermal storage for peak load shaving, especially for the district heating systems with waste heat recovery. A campus district heating system in Norway was chosen as the case study. The system takes advantage of the waste heat from the campus data centre. Currently, about 20% of the heating bill is paid for the peak load, and a mismatch between the available waste heat and heat demand was detected. The results showed that introducing water tank thermal storage brought significant effects on peak load shaving and waste heat recovery. Those effects saved up to 112 000 EUR heating bills annually, and the heating bill paid for the peak load could be reduced by 15%. Meanwhile, with the optimal sizing and operation, the payback period of the water tank could be decreased to 13 years. Findings from this study might help the heat users to evaluate the economic feasibility of introducing thermal storage.

Development of an Operational Planning Tool for Geothermal Plants With Heat and Power Production

2020 ◽  
Vol 142 (9) ◽  
Author(s):  
Matthäus Irl ◽  
Jerry Lambert ◽  
Christoph Wieland ◽  
Hartmut Spliethoff
Keyword(s):  
District Heating ◽  
Power Production ◽  
Operational Planning ◽  
Mixed Integer ◽  
Planning Tool ◽  
Short Term ◽  
Heating Systems ◽  
Heat Demand ◽  
District Heating Systems ◽  
Geothermal Plant

Abstract A short-term operational planning tool for geothermal plants with heat and power production connected to large district heating systems is developed. The software tool contains, among other features, a heat demand forecasting model for district heating systems. Two options, such as linear regression and artificial neural networks, are compared. As the result shows, artificial neural networks with the Bayesian Regularization Backpropagation Algorithm have a high generalization capability and are suitable to forecast the heat demand of large district heating systems with high accuracy. Data from a district heating system with about 70-MW load supplied by a geothermal plant in the south of Munich (Germany) are used for comparison and assessment of all methods. After developing a suitable heat forecast, the heat and power production site is modeled by using mixed-integer linear programming. Mixed-integer linear programming has proven to be a suitable method to model the operation of geothermal plants with heat and power production as well as to solve the planning optimization problem. As the results show, the short-term operational planning tool can optimize the operation of single components as well as of the overall geothermal plant with regard to various objective functions. The tool maximizes the revenues from the sold heat and electricity minus the costs for the boiler fuel and the heat purchased from a connected adjacent geothermal plant. A retro perspective operation investigation has proven that the profitability of the considered geothermal plant could be significantly increased by using the developed software.

scholarly journals Cost-optimal energy retrofit for Serbian residential buildings connected to district heating systems

2019 ◽  
Vol 23 (Suppl. 5) ◽  
pp. 1707-1717 ◽  
Author(s):  
Mladen Stojiljkovic ◽  
Mirko Stojiljkovic ◽  
Marko Ignjatovic ◽  
Goran Vuckovic
Keyword(s):  
Residential Buildings ◽  
District Heating ◽  
Primary Energy ◽  
Primary Energy Consumption ◽  
Optimal Solutions ◽  
Heating Systems ◽  
Energy Retrofit ◽  
Global Cost ◽  
District Heating Systems ◽  
Cost Optimality

Buildings are significant energy consumers and provide a notable potential to reduce primary energy consumption and increase energy efficiency. Cost-effectiveness of energy efficiency projects is of crucial importance for their implementation. Cost-optimality of different packages of energy retrofit measures is studied across the EU, but Serbia mostly lacks such information. This paper analyzes cost-optimal solutions for Serbian residential buildings connected to district heating systems, considering three different scenarios related to the economic input parameters. Additionally, it considers the potential for primary energy savings beyond cost-optimality and associated costs. The optimal solutions, that correspond to minimal global cost or minimal primary energy consumption, are determined as the results of the combinatorial optimization problems. These problems are solved using the genetic algorithm and local search. The results are compared against the ones obtained with the sensitivity analysis. The global cost can be reduced by 8-43% in the cases of cost-optimal solutions, simultaneously saving 30-76% of primary energy. The potential to save primary energy is higher - it exceeds 70% in all the analyzed cases, but also requires higher global cost, sometimes larger than in the absence of the retrofit. The paper also emphasizes high dependencies of the results on very uncertain economic inputs.

scholarly journals Flexibility Potential of Space Heating Demand Response in Buildings for District Heating Systems

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2874 ◽  
Author(s):  
Dmytro Romanchenko ◽  
Emil Nyholm ◽  
Mikael Odenberger ◽  
Filip Johnsson
Keyword(s):  
Heat Generation ◽  
Demand Response ◽  
Heat Supply ◽  
Residential Buildings ◽  
District Heating ◽  
Space Heating ◽  
Building Stock ◽  
Heat Demand ◽  
The Cost ◽  
The City

Using an integrated demand-supply optimization model, this work investigates the potential for flexible space heating demand, i.e., demand response (DR), in buildings, as well as its effects on the heating demand and the operation of a district heating (DH) system. The work applies a building stock description, including both residential and non-residential buildings, and employs a representation of the current DH system of the city of Gothenburg, Sweden as a case study. The results indicate that space heating DR in buildings can have a significant impact on the cost-optimal heat supply of the city by smoothing variations in the system heat demand. DR implemented via indoor temperature deviations of as little as +1 °C can smoothen the short-term (daily) fluctuations in the system heating demand by up to 18% over a period of 1 year. The smoothening of the demand reduces the cost of heat generation, in that the heat supply and number of full-load hours of base-load heat generation units increase, while the number of starts for the peaking units decreases by more than 80%. DR through temperature deviations of +3 °C confers diminishing returns in terms of its effects on the heat demand, as compared to the DR via +1 °C.

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