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Theoretical cost and energy optimisation of a 4th generation net-zero district heating system with different thermal energy storage technologies

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A model was used to simulate and optimise a speculative district heating (DH) system for an existing urban area in Loughborough, UK. Heat was supplied using only renewable heat sources (RHS) with long and short duration thermal energy storage (TES) systems used to address mismatch between heat generation and demand. For an 18-month simulation period, a) building heat loads, b) heat generated, c) heat flow to and from stores, and d), heat losses from the stores and network were calculated using hourly weather data, network and building characteristics. RHS included evacuated-tube solar thermal collectors (ETSTCs), and ground and air source heat pumps powered by electricity generated by solar-photovoltaic (PV) and Wind turbines (Wind). The effect of long-term TES system volume and charging temperature on the calculated DH system cost per dwelling, and the calculated DH system energy efficiency was assessed. The minimum cost of the DH system was obtained by modifying the capacity of installed Wind and PV, while ensuring that heat demands were met in every hour of the simulation. A minimum cost per dwelling of £12,278 was predicted with an energy efficiency of 84.84% for a long term TES volume of 15000 m3 and temperature of 60°C.

Funding

Low Temperature Heat Recovery and Distribution Network Technologies (LoT-NET)

Engineering and Physical Sciences Research Council

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History

School

  • Mechanical, Electrical and Manufacturing Engineering

Research Unit

  • Centre for Renewable Energy Systems Technology (CREST)

Published in

Sustainable Cities and Society

Volume

100

Issue

2024

Publisher

Elsevier

Version

  • VoR (Version of Record)

Rights holder

Crown Copyright ©

Publisher statement

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Acceptance date

2023-11-13

Publication date

2023-11-18

Copyright date

2023

ISSN

2210-6707

eISSN

2210-6715

Language

  • en

Depositor

Dr Miguel Angel Pans Castillo. Deposit date: 22 November 2023

Article number

105064

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