E3S Web Conf.
Volume 44, 201810th Conference on Interdisciplinary Problems in Environmental Protection and Engineering EKO-DOK 2018
|Number of page(s)||8|
|Published online||03 July 2018|
The annual gas demand forecasting in air-source gas-fired absorption heat pumps
GAZUNO, Al. Zwycięstwa 96/98, 81-451 Gdynia, Poland
2 Wroclaw University of Science and Technology, Faculty of Environmental Engineering, Plac Grunwaldzki 13, 50-377 Wrocław, Poland
* Corresponding author: email@example.com
The forecasting of fuel demand is required for decision-making and management of heating systems. A simple methodology of gas demand forecasting in heating systems based on air-source gas-fired absorption heat pumps (GAHP) was presented and evaluated on real gas consumption data. The methodology was developed by Gazuno, based on experience and long-term measurements in real GAHP heating systems in Polish climate conditions. Methodology takes into account main factors influencing the gas consumption: the variability of heat pumps’ gas utilization efficiency (GUE), the operation conditions and the operation time. In air-source gas-fired heat pump technology the GUE changes in operation time according to the external air temperature and heating system temperature. The presented simple methodology is dedicated for decision-making on early design stage, to simple assessment of future gas demand in the GAHP heating systems.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.