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- Title
Model Design and Applied Methodology in Geothermal Simulations in Very Low Enthalpy for Big Data Applications.
- Authors
Arranz-Revenga, Roberto; Dorrego de Luxán, María Pilar; Herrera Herbert, Juan; García Cambronero, Luis Enrique
- Abstract
Low-enthalpy geothermal installations for heating, air conditioning, and domestic hot water are gaining traction due to efforts towards energy decarbonization. This article is part of a broader research project aimed at employing artificial intelligence and big data techniques to develop a predictive system for the thermal behavior of the ground in very low-enthalpy geothermal applications. In this initial article, a summarized process is outlined to generate large quantities of synthetic data through a ground simulation method. The proposed theoretical model allows simulation of the soil's thermal behavior using an electrical equivalent. The electrical circuit derived is loaded into a simulation program along with an input function representing the system's thermal load pattern. The simulator responds with another function that calculates the values of the ground over time. Some examples of value conversion and the utility of the input function system to encode thermal loads during simulation are demonstrated. It bears the limitation of invalidity in the presence of underground water currents. Model validation is pending, and once defined, a corresponding testing plan will be proposed for its validation.
- Subjects
GROUND source heat pump systems; BIG data; ENTHALPY; GROUNDWATER; WATER currents; SIMULATION software
- Publication
Data (2306-5729), 2023, Vol 8, Issue 12, p176
- ISSN
2306-5729
- Publication type
Article
- DOI
10.3390/data8120176