Wang, Yang, Zhang, Shanhong, Chow, David 
ORCID: 0000-0002-5963-6228 and Kuckelkorn, Jens M
(2021)
Evaluation and optimization of district energy network performance: Present and future.
Renewable and Sustainable Energy Reviews, 139.
p. 110577.
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2020 RSER_110577_edit_report (2).pdf - Author Accepted Manuscript Download (1MB) | Preview |
Abstract
The building sector accounts for the largest portion of total final energy consumption in most countries, and is responsible for around one third of carbon emissions, which have been regarded as the cause for global warming and climate changes. District energy network, which can supply consumers with heating/cooling and electricity, is an effective and proven approach to enhance energy efficiency and reduce carbon emissions. Currently, the approach of integrated energy systems (including renewable energy) tends to be increasingly necessary and significant for the district energy network. This article presents a comprehensive review of energy performance of district energy networks, focusing on optimization and evaluation of district heating network combining with other relevant energy systems and renewable technologies. This review consists of the concept of district energy network, typical applications of district energy network, and significant literatures of energy performance of various energy networks based on theoretical modelling and analysis, physical experimental studies and numerical simulations. Furthermore, over 30 factors affecting energy performance have been substantially investigated and assessed. This review has demonstrated that main effects on energy network performance are significantly linked to configurations and capacities of system, climate conditions (locations and time), and the interaction between various factors. An optimal overall performance of district energy network would need to integrate several advanced energy systems, e.g. a balanced energy network.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | District energy network, Heating systems, Parametric analysis, Numerical modelling, Energy performance, Evaluation and optimization |
| Divisions: | Faculty of Humanities and Social Sciences > School of the Arts |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 16 Jun 2021 09:26 |
| Last Modified: | 18 Jan 2023 22:35 |
| DOI: | 10.1016/j.rser.2020.110577 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3125716 |
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