A European Database of Building Energy Profiles to Support the Design of Ground Source Heat Pumps

Energies

Antonio Galgaro¹  Giorgia Dalla Santa¹  Michele De Carli²  Angelo Zarrella²  Laura Carnieletto²  Samantha Graci²  Giuseppe Emmi²  Antonino Di Bella²  Marco Belliardi³  Borja Badenes⁴  JavierF. Urchueguía⁴  Adriana Bernardi⁵  Giulia Mezzasalma⁶ 

[1] Department of Geosciences, University of Padua, 35131 Padova, Italy;Department of Industrial Engineering, University of Padua, Via Venezia 1, 35131 Padova, Italy;Institute for Applied Sustainability to the Built Environment, University of Applied Sciences of Southern Switzerland, 6952 Manno, Switzerland;Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera S/N, 46022 Valencia, Spain;Italian National Research Council, Institute of Science, Atmosphere and Climate (CNR-ISAC), 35131 Padova, Italy;Red Srl, 35131 Padova, Italy;

关键词: building energy demand;    energy profiles;    GSHP;    residential buildings;   

DOI  :  10.3390/en12132496

来源: DOAJ

【 摘 要 】

The design of ground source heat pumps is a fundamental step to ensure the high energy efficiency of heat pump systems throughout their operating years. To enhance the diffusion of ground source heat pump systems, two different tools are developed in the H2020 research project named, “Cheap GSHPs”: A design tool and a decision support system. In both cases, the energy demand of the buildings may not be calculated by the user. The main input data, to evaluate the size of the borehole heat exchangers, is the building energy demand. This paper presents a methodology to correlate energy demand, building typologies, and climatic conditions for different types of residential buildings. Rather than envelope properties, three insulation levels have been considered in different climatic conditions to set up a database of energy profiles. Analyzing European climatic test reference years, 23 locations have been considered. For each location, the overall energy and the mean hourly monthly energy profiles for heating and cooling have been calculated. Pre-calculated profiles are needed to size generation systems and, in particular, ground source heat pumps. For this reason, correlations based on the degree days for heating and cooling demand have been found in order to generalize the results for different buildings. These correlations depend on the Köppen−Geiger climate scale.

【 授权许可】

Unknown