E3S Web Conf.
Volume 111, 2019CLIMA 2019 Congress
|Number of page(s)||8|
|Section||Sustainable Urbanization and Energy System Integration|
|Published online||13 August 2019|
Two software tools for facilitating the choice of ground source heat pumps by stakeholders and designers
1 Department of Industrial Engineering, University of Padua, Italy
2 Fundacion Tecnalia Research and Innovation, Spain
3 Aner Sistemas Informaticos, S.L.
4 Friedrich-Alexander Universitaet Erlangen-Nuernberg, Germany
5 Depatment of Geosciences, University of Padua, Italy
6 Galletti Belgium NV, Belgium
7 Red Srl, Italy
8 Universidad Politecnica de Valencia, Spain
9 SUPSI, Switzerland
10 Slr Environmental Consulting Ltd, Ireland
11 CNR-ISAC, Italy
* Corresponding author: firstname.lastname@example.org
For promoting the diffusion of GSHP and making the technology more accessible to the general public, in the H2020 research project “CHeap and Efficient APplication of reliable Ground Source Heat exchangers and PumpS” (acronym Cheap-GSHPs) a tool for sizing these systems has been developed, as well as a Decision Support System (DSS) able to assist the user in the preliminary design of the most suitable configuration.
For all these tools a common platform has been carried out considering climatic conditions, energy demand of buildings, ground thermal properties, heat pump solutions repository, as well as renewable energy database to use in synergy with the GSHPs. Since the aims of the tools are different, there are different approaches.
The design tool is mainly addressed to designers. The calculation may be done in two ways: with a simplified method based on the ASHRAE approach and with a detailed calculation based on the numerical tool CaRM (Capacity-Resistance method).
The DSS final aim is to support decision-making, by providing the stakeholders at all the level with a series of scenario. The Cheap-GSHPs project has developed a DSS tool aimed at accelerating the decision-making process of designers and building owners as well as increasing market share of the Cheap-GSHPs technologies. Hence the DSS generates different possible solutions based on a defined general problem, identifying the optimal solution.
Both tools are presented in the paper, showing the potentialities provided by both software.
© The Authors, published by EDP Sciences, 2019
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