A Novel Data Management Methodology and Case Study for Monitoring and Performance Analysis of Large-Scale Ground Source Heat Pump (GSHP) and Borehole Thermal Energy Storage (BTES) System

Oleg Todorov, Kari Alanne, Markku Virtanen and Risto Kosonen
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Oleg Todorov: Department of Mechanical Engineering, Aalto University, 02150 Espoo, Finland
Kari Alanne: Department of Mechanical Engineering, Aalto University, 02150 Espoo, Finland
Markku Virtanen: Department of Mechanical Engineering, Aalto University, 02150 Espoo, Finland
Risto Kosonen: Department of Mechanical Engineering, Aalto University, 02150 Espoo, Finland

Energies, 2021, vol. 14, issue 6, 1-25

Abstract: Aalto New Campus Complex (ANCC) is a recently inaugurated educational facility at Aalto University, located in Otaniemi (Espoo), Finland. Within over 40,000 m 2 , it comprises two faculties, a shopping center, recreational areas, and a metro station. ANCC is also a large-scale application of Ground Source Heat Pump (GSHP)–Borehole Thermal Energy Storage (BTES) in Finland, comprising an irregular BTES field of 74 boreholes with an overall length of roughly 23 km and 4 million m 3 of energy storage. Therefore, accurate monitoring of the GSHP–BTES energy system is crucial for sustainable and efficient long-term operation. Due to the fundamental issues affecting the accuracy of all thermal energy meters, a novel methodology adjusting for consistency of the measured data (in order to accomplish daily energy balance on both sides of the GSHP) is developed. The proposed methodology is used also in conjunction with reconstruction of missing relevant data before April/May 2020 by applying linear regression techniques. The developed data management is considered essential due to its capability to handle measured data with high uncertainty (thermal meters) by using highly accurate data regarding the GSHP power demand. Additionally, operational data and relevant GSHP performance indicators for the 18-month period starting from July 2019 is presented and analyzed.

Keywords: Ground-Source Heat Pump (GSHP); Borehole Thermal Energy Storage (BTES); educational and academic complex; data management; Data Validation and Reconciliation (DVR); optimization; data reconstruction; regression models; system performance (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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