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Innovative Technologies for District Heating and Cooling: InDeal Project

Moustakidis, S. ORCID: 0000-0002-1090-2177, Meintanis, I., Karkanias, N., Halikias, G. ORCID: 0000-0003-1260-1383, Saoutieff, E., Gasnier, P., Ojer-Aranguren, J., Anagnostis, A., Marciniak, B., Rodot, I., Lezak, E., Pluta, J., Penev, M., Jäppinen, H., Petit, S., Krajnc, M., Kouvaris, K. and Eleftheriou, A. (2019). Innovative Technologies for District Heating and Cooling: InDeal Project. Proceedings, 5(1), doi: 10.3390/proceedings2019005001

Abstract

The paper discusses the outcomes of the conference organized by the InDeal project. The conference took place on 12 December 2018 in Montpellier as part of the EnerGaia energy forum 2018. A holistic interdisciplinary approach for district heating and cooling (DHC) networks is presented that integrates heterogeneous innovative technologies from various scientific sectors. The solution is based on a multi-layer control and modelling framework that has been designed to minimize the total plant production costs and optimize heating/cooling distribution. Artificial intelligence tools are employed to model uncertainties associated with weather and energy demand forecasts, as well as quantify the energy storage capacity. Smart metering devices are utilized to collect information about all the crucial heat substations’ parameters, whereas a web-based platform offers a unique user environment for network operators. Three new technologies have been further developed to improve the efficiency of pipe design of DHC systems: (i) A new sustainable insulation material for reducing heat losses, (ii) a new quick-fit joint for an easy installation, and (iii) a new coating for reducing pressure head losses. The results of a study on the development and optimization of two energy harvesting systems are also provided. The assessment of the environmental, economic and social impact of the proposed holistic approach is performed through a life cycle analysis. The validation methodology of the integrated solution is also described, whereas conclusions and future work are finally given.

Publication Type: Article
Additional Information: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Publisher Keywords: InDeal project; control; forecasting; artificial intelligence; energy storage modelling; advanced metering; insulation materials; pipe system design; energy harvesting; web-based platform.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments: School of Mathematics, Computer Science & Engineering > Engineering > Electrical & Electronic Engineering
URI: https://openaccess.city.ac.uk/id/eprint/22992
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