Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

District heating and cooling optimization and enhancement – towards integration of renewables, storage and smart grid

Li, Yu, Rezgui, Yacine ORCID: https://orcid.org/0000-0002-5711-8400 and Zhu, Hanxing ORCID: https://orcid.org/0000-0002-3209-6831 2017. District heating and cooling optimization and enhancement – towards integration of renewables, storage and smart grid. Renewable and Sustainable Energy Reviews 72 , pp. 281-294. 10.1016/j.rser.2017.01.061

[thumbnail of District Heating and Cooling Optimization and Enhancement.pdf]
Preview
PDF - Accepted Post-Print Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview

Abstract

District heating and cooling (DHC) systems are attracting increased interest for their low carbon potential. However, most DHC systems are not operating at the expected performance level. Optimization and Enhancement of DHC networks to reduce (a) fossil fuel consumption, CO2 emission, and heat losses across the network, while (b) increasing return on investment, form key challenges faced by decision makers in the fast developing energy landscape. While the academic literature is abundant of research based on field experiments, simulations, optimization strategies and algorithms etc., there is a lack of a comprehensive review that addresses the multi-faceted dimensions of the optimization and enhancement of DHC systems with a view to promote integration of smart grids, energy storage and increased share of renewable energy. The paper focuses on four areas: energy generation, energy distribution, heat substations, and terminal users, identifying state-of-the-art methods and solutions, while paving the way for future research.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords: DHC; Optimization; Heat loss; Storage; Renewable energy; Smart grid
Publisher: Elsevier
ISSN: 1364-0321
Date of First Compliant Deposit: 17 January 2017
Date of Acceptance: 9 January 2017
Last Modified: 08 Nov 2023 11:11
URI: https://orca.cardiff.ac.uk/id/eprint/97484

Citation Data

Cited 124 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics