Asset Details
Do you wish to reserve the book?
GIS-based approach to identifying potential heat sources for heat pumps and chillers providing district heating and cooling
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
GIS-based approach to identifying potential heat sources for heat pumps and chillers providing district heating and cooling
Do you wish to request the book?
GIS-based approach to identifying potential heat sources for heat pumps and chillers providing district heating and cooling
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
GIS-based approach to identifying potential heat sources for heat pumps and chillers providing district heating and cooling
2022
Overview
Geographic information system (GIS) software has been essential for visualising and determining heating and cooling requirements, sources of industrial excess heat, natural bodies of water, and municipalities. Policymakers highly encourage the use of GIS software at all administrative levels. It is expected that the heating and cooling demand will continue to increase. For a reliable heat and cooling supply, we must identify heat sources that can be used to provide heat or for removing surplus heat. We propose a method for identifying possible heat sources for large heat pumps and chillers that combines geospatial data from administrative units, industrial facilities, and natural bodies of water. Temperatures, capacities, heat source availability, as well as their proximity to areas with high demand density for heating and cooling were considered. This method was used for Estonia, Latvia and Lithuania. Excess heat from heat generation plants and industries, sewage water treatment plants, and natural heat sources such as rivers, lakes and seawater were included. The study’s findings provide an overview of possible industrial and natural heat sources, as well as their characteristics. The potential of the heat sources was analysed, quantified, and then compared to the areas of heating and cooling demand.
Publisher
Aalborg University Press,Aalborg University Open Publishing
Subject
/ Cooling
/ Demand
/ District heating and cooling
/ ESPON
/ Geographic information systems
/ Heating
/ Lakes
/ Seawater
/ Sewage
/ Software
