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Urban District Heating and Cooling Technologies II

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (31 October 2020) | Viewed by 13115

Special Issue Editor


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Guest Editor
Department of Mechanical Engineering, Universitat Rovira I Virgili, Avda. Països Catalans, 26, 43007 Tarragona, Spain
Interests: applied thermal engineering; distributed generation of energy; renewable energy; polygeneration systems
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Special Issue Information

Dear Colleagues,

It is well known that district heating and cooling (DHC) networks for urban environments can provide energy savings with significant economic and environmental benefits, among others, with respect to individual building heating and cooling facilities. Therefore, many studies and reviews have been done in this field. However, this new Special Issue will not only cover the main features of DHC networks and their current state-of-the-art but will focus mainly on new advanced features, such as:

  • Analysis of new cogeneration, trigeneration, and polygeneration configurations to supply energy for DHC networks. Special attention will be given to renewable based DHC networks using several energy resources such as solid biomass and urban waste residues, solar energy, geothermal, etc., making use of several energy conversion technologies, and also with the possibility to favorably contribute to a more sustainable mobility in cities;
  • Low and very low distribution temperature networks known as the fourth generation of DH networks;
  • Integration of compression and sorption heat pumps using new configurations for the simultaneous delivery of heating and cooling, both at the energy supply plant and/or as substation units;
  • Use of urban heat sources such as the recovery of heat from underground transport facilities, sewage water networks, etc. for their use in DHC networks;
  • New DHC technologies for small villages with high-energy demand and costly access to energy grids using local resources to contribute to the local economy growth by the promotion of the employment and settlement of rural population.

The use of renewable energy sources, recovered heat from urban or industrial waste, cooling from regasification plants, new low temperature distribution networks, and synergies with electricity and gas fuel networks are paving the way to the new concept of a smart energy system with a higher scope than the usual smart grid concept limited to the electricity grid. The aforementioned and many other new developments will help to widely spread the implementation of DHC networks, especially for the case of cooling supply that is currently less developed, and at the same time contribute in this way to achieve the internationally agreed commitments on the environment and climate change.

Prof. Dr. Joan Carles Bruno
Guest Editor

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Keywords

  • District heating and cooling networks
  • Renewable energy
  • Heat pump integration
  • Recovery of urban waste heat
  • Recovery of industrial waste heat
  • Rural area development

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Published Papers (1 paper)

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Review

32 pages, 2127 KiB  
Review
Advanced Control and Fault Detection Strategies for District Heating and Cooling Systems—A Review
by Simone Buffa, Mohammad Hossein Fouladfar, Giuseppe Franchini, Ismael Lozano Gabarre and Manuel Andrés Chicote
Appl. Sci. 2021, 11(1), 455; https://doi.org/10.3390/app11010455 - 5 Jan 2021
Cited by 68 | Viewed by 12393
Abstract
Peak shaving, demand response, fast fault detection, emissions and costs reduction are some of the main objectives to meet in advanced district heating and cooling (DHC) systems. In order to enhance the operation of infrastructures, challenges such as supply temperature reduction and load [...] Read more.
Peak shaving, demand response, fast fault detection, emissions and costs reduction are some of the main objectives to meet in advanced district heating and cooling (DHC) systems. In order to enhance the operation of infrastructures, challenges such as supply temperature reduction and load uncertainty with the development of algorithms and technologies are growing. Therefore, traditional control strategies and diagnosis approaches cannot achieve these goals. Accordingly, to address these shortcomings, researchers have developed plenty of innovative methods based on their applications and features. The main purpose of this paper is to review recent publications that include both hard and soft computing implementations such as model predictive control and machine learning algorithms with applications also on both fourth and fifth generation district heating and cooling networks. After introducing traditional approaches, the innovative techniques, accomplished results and overview of the main strengths and weaknesses have been discussed together with a description of the main capabilities of some commercial platforms. Full article
(This article belongs to the Special Issue Urban District Heating and Cooling Technologies II)
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