Abstract
District Heating (DH) systems are commonly supplied using local heat sources. Nowadays, modern insulation materials allow for effective and economically viable heat transportation over long distances (over 20 km). In the paper a method for optimized selection of design and operating parameters of long distance Heat Transportation System (HTS) is proposed. The method allows for evaluation of feasibility and effectivity of heat transportation from the considered heat sources. The optimized selection is formulated as multicriteria decision-making problem. The constraints for this problem include a static HTS model, allowing considerations of system life cycle, time variability and spatial topology. Thereby, variation of heat demand and ground temperature within the DH area, insulation and pipe aging and/or terrain elevation profile are taken into account in the decision-making process. The HTS construction costs, pumping power, and heat losses are considered as objective functions. Inner pipe diameter, insulation thickness, temperatures and pumping stations locations are optimized during the decision-making process. Moreover, the variants of pipe-laying e.g. one pipeline with the larger diameter or two with the smaller might be considered during the optimization. The analyzed optimization problem is multicriteria, hybrid and nonlinear. Because of such problem properties, the genetic solver was applied.
Highlights
Space heating is a major component in overall heat consumption in Europe
This approach leads to Long Horizon Time Discretization (LHTD) of the Heat Transportation System (HTS) life cycle LC, with ΔτL time step, into ∑ττLL intervals indexed by t
The duration of each LHTD interval may be decades, its parameters are assumed constant over that period and, it may be covered by only one set of ∑ττYY sub-models, the results of which are multiplied according to the LHTD time step
Summary
Space heating is a major component in overall heat consumption in Europe. At the same time heat uses amount to 80% of total energy consumed in residential houses. The main obstacle in a nuclear heat utilization is a necessity of a long distance heat transportation, as NPPs are most often located far from dense urban areas. For these reasons, the NPPs are considered solely for electricity production under global zero emission scenarios [4]. In [1] economic estimations were performed for the French Nogent-sur-Seine NPP located 110 km east of Paris, showing that heat transportation of 1500 MW over long distance can be cost effective, with the payback time less than 10 years. The revised mathematical model is presented, resulting in much better computing performance, allowing effective genetic solver application
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
