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Performance assessment of a multi-source heat production system with storage for district heating
Abstract
This work contributes to the development of a multi-vector flexibility management platform, combining electric, heat and gas optimization at district level. The multi-vector flexibility management platform will be validated both experimentally and by simulation, on a set of demonstration scenarios. Each scenario refers to an eco-district topology with a given distribution network of energy, a consumer side and a multi-source heat production plant, consisting of a gas boiler, a solar collector, and a heat pump. In addition, a thermal storage in the form of a water tank is connected to the network. A key aspect is the ability to optimize such a system at district level, with the performance of the individual components depending on operating temperatures and environmental conditions, and varying primary energy prices. By simulating the distribution network with a dynamic model, the non-linear influence of various parameters on the system can be investigated.
In particular, the current study focuses on the operation of the multi-source heat production system and thermal storage. A 1D model of the multi-source heat production (gas, solar and heat pump), the thermal storage, and a global consumer is performed using the equation-based object-oriented language Modelica along with the simulation platform Dymola. The model is run with standard controls from district heating provider, i.e. constant or linear controls. For a given consumer load, a set of key performance indicators (KPI) are used to assess the performance of the system, e.g. energy share from renewables and storage utilization rate. The sensitivity to the model’s input is analyzed as well. The results can be used as reference to apply optimal control schemes and study the influence on the corresponding KPIs.
... biomass boilers [4]), electrically driven generation units (e.g. electric boilers [5], heat pumps [3,6,7]), renewable energy-based systems (e.g. solar thermal collectors [8,9]), and short-term and long-term energy storage devices [10,11]. ...
... The research on multisource district heating DH has varied widely depending on the analysed heat sources, the size of the analysed heat supply system, and specific conditions [31]. simulated multi-source DH solutions and compared them with fully electrical decentralized heating systems using individual heat pumps to assess the cost and CO 2 emission levels of different solutions [28]. focused on optimizing the sizing of heat sources and storage systems to improve key performance indicators of the DH system, such as thermal energy share, primary energy ratio, and storage average capacity. ...
... At that time, it was approved after testing in external conditions and after fulfilling all the conditions and tests specified in the technical standards of the countries. The technology used to collect and collect solar energy is called an inter-season thermal transformation system [5]. ...
The article deals with the utilization of renewable energy sources in the construction and maintenance of transport infrastructure. In the introduction of the article, the authors present a brief introduction to this issue. The authors present a system that utilizes renewable energy sources, specifically solar energy, called the Solar Road System. The article describes the functionality of this system and selected advantages and disadvantages over conventional methods of winter road maintenance. In the third chapter, the authors point out the possible use of the solar road system in the wider scope of transport infrastructures, specifically the chapter focuses on the possibilities of using the system in airport construction, where the authors show this principle using a conceptual model of the airport. This chapter briefly describes the winter maintenance of airport operating areas. At the end of the article, the authors point out the possible directions that the development in this area will take and the issues that will need to be addressed in the future.
In this paper, the heating system of the airport energy station is taken as the research object. Aiming at the existing scheduling strategy of multi-heat-source heating system is difficult to achieve the optimal system working condition on the premise of meeting the needs of users. An intelligent scheduling strategy based on an improved FWA is studied. Firstly, the multi-heat-source heating system is analyzed, and the energy consumption model of operating equipment is established. According to the actual situation of the equipment, the multi-objective scheduling model is established. Then, the improved multi-objective fireworks algorithm is studied, including the initialization definition method of fireworks operator, the calculation method of fitness, mutation operator, the calculation method of explosion spark radius, and the concept of Pareto solution set in genetic algorithm with elite strategy is introduced. Finally, a multi-objective optimization function is established to minimize the equipment operation cost and heat source cost, and the multi-objective optimization problem is solved. Compared with the existing airport energy station dispatching scheme, the total operation cost of the optimized system is saved about 28.44%, and the energy waste is reduced based on the excellent operation of the heating system, achieved the optimal working condition
Building energy efficiency legislation has traditionally focused on space heating energy consumption. This has led to a decrease in energy consumption, especially in space heating. However, in the future when more renewable energy is used both on site and in energy systems, the peak energy demand becomes more important with respect to CO2 emissions and energy security. In this study it was found out the difference between space heating energy consumption was 55%-62% when a low energy and standard building were compared. However, the difference in peak energy demands was only 28%-34%, showing the importance of paying attention to the peak demands as well.
A program to generate Domestic Hot Water (DHW) profiles has been developed. The generated profiles are text-files, containing a list of flow rate values for each time step. They are used primarily for annual system simulations, but are also suitable to be used for test procedures of laboratory system or component tests. The program distributes DHW draw-offs throughout the year with statistical means, according to a probability function. Reference conditions for the draw-offs (flow rates, draw-off periods, etc.) and reference conditions for the probability function (daily probabilities for draw-offs etc.), can be set by the user, as well as general profile parameters like time step period and mean daily draw-off volume. The program can be downloaded free of charge at the web page: www.solar.uni-kassel.de.
«Experimental Solar District Heating Network Operation at CEA INES,» in poster of the 5th International Solar District Heating Conference
- N Lamaison
- C Tantolin
- C Paulus
N. Lamaison, C. Tantolin et C. Paulus, «Experimental Solar District Heating Network Operation at CEA INES,» in poster of the 5th
International Solar District Heating Conference, Graz, Austria, 2018.
«Realistic domestic hot-water profiles,» IEA SHC Task 26
- U Jordan
- K Vajen
U. Jordan et K. Vajen, «Realistic domestic hot-water profiles,» IEA SHC Task 26, 2001.