Optimisation of district heating production by utilising the storage capacity of a district heating network on the basis of weather forecasts-Reference-Cited by-同舟云学术

Optimisation of district heating production by utilising the storage capacity of a district heating network on the basis of weather forecasts

Published:2022-03 Issue: Volume:13 Page:100318
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Kuosa Maunu,Kiviranta Paulus,Sarvelainen Hannu,Tuliniemi Erja,Korpela Tuija,Tallinen Kirsi,Koponen Hanna-Kaisa

Funder

European Regional Development Fund

Publisher

Elsevier BV

Subject

General Engineering

Reference17 articles.

1. Utilization of district heating networks to provide flexibility in CHP production;Korpela;Energy Procedia,2017

2. D. Basciotti, F. Judex, O. Pol, R.-R. Schmidt, Sensible heat storage in district heating networks: A novel control strategy using the network as storage, Austrian Institute of Technology, Vienna Austria, WWW-Document, Available at: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.458.2743&rep=rep1&type=pdf.

3. Thermal energy storage in district heating: centralised storage vs. storage in thermal inertia of buildings;Romanchenko;Energy Convers. Manag.,2018

4. Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings;Gu;Appl. Energy,2017

5. Thermal energy storage in district heating and cooling systems: a review;Guelpa;Appl. Energy,2019

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