4.5 Article

Study on the System Design of a Solar Assisted Ground Heat Pump System Using Dynamic Simulation

Journal

ENERGIES
Volume 9, Issue 4, Pages -

Publisher

MDPI
DOI: 10.3390/en9040291

Keywords

hybrid system; solar assisted ground heat pump; dynamic simulation; coefficient of performance (COP)

Categories

Funding

  1. New AMP
  2. Renewable Energy Core Technology Program of the Korea Institute of Energy Evaluation and Planning (KETEP)
  3. Ministry of Trade, Industry AMP
  4. Energy, Republic of Korea [20133030110900]
  5. Korea Evaluation Institute of Industrial Technology (KEIT) [20133030110900] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

Ask authors/readers for more resources

Recently, the use of hybrid systems using multiple heat sources in buildings to ensure a stable energy supply and improve the system performance has gained attention. Among them, a heat pump system using both solar and ground heat was developed and various system configurations have been introduced. However, establishing a suitable design method for the solar-assisted ground heat pump (SAGHP) system including a thermal storage tank is complicated and there are few quantitative studies on the detailed system configurations. Therefore, this study developed three SAGHP system design methods considering the design factors focused on the thermal storage tank. Using dynamic energy simulation code (TRNSYS 17), individual performance analysis models were developed and long-term quantitative analysis was carried out to suggest optimum design and operation methods. As a result, it was found that SYSTEM 2 which is a hybrid system with heat storage tank for only a solar system showed the highest average heat source temperature of 14.81 degrees C, which is about 11 degrees C higher than minimum temperature in SYSTEM 3. Furthermore, the best coefficient of performance (COP) values of heat pump and system were 5.23 and 4.32 in SYSYEM 2, using high and stable solar heat from a thermal storage tank. Moreover, this paper considered five different geographical and climatic locations and the SAGHP system worked efficiently in having high solar radiation and cool climate zones and the system COP was 4.51 in the case of Winnipeg (Canada) where the highest heating demand is required.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Energy & Fuels

Assessing the performance of uncertainty-aware transactive controls for building thermal energy storage systems

Min Gyung Yu, Gregory S. Pavlak

Summary: This study introduces an uncertainty-aware transactive control framework for coordinating thermal energy storage assets of multiple buildings, aiming to achieve energy cost savings and increased system flexibility.

APPLIED ENERGY (2021)

Article Thermodynamics

Extracting interpretable building control rules from multi-objective model predictive control data sets

Min Gyung Yu, Gregory S. Pavlak

Summary: Developing intelligent building control strategies has become a multi-objective problem, requiring balancing performance across various factors. Implementing multi-objective optimal controls in buildings is challenging due to complexity and computational burden. This study extracts near-optimal rule sets from a database of non-dominated solutions using multi-objective model predictive control.

ENERGY (2022)

Article Energy & Fuels

Risk-aware sizing and transactive control of building portfolios with thermal energy storage

Min Gyung Yu, Gregory S. Pavlak

Summary: With the increasing deployment of distributed energy resources, efficient operation of electric grid systems has become challenging due to demand and supply fluctuations. This study developed a risk-averse stochastic optimal dispatch model for portfolios with thermal energy storage to mitigate financial loss. Two simulation case studies were conducted to evaluate the performance of the risk-averse controller and demonstrated significant cost savings of 42.4% with larger thermal energy storage capacity.

APPLIED ENERGY (2023)

Article Energy & Fuels

Analyzing at-scale distribution grid response to extreme temperatures

Sarmad Hanif, Monish Mukherjee, Shiva Poudel, Min Gyung Yu, Rohit A. Jinsiwale, Trevor D. Hardy, Hayden M. Reeve

Summary: This paper presents a modeling and simulation platform for electric distribution grids that estimates overall power demand during extreme weather conditions. The effectiveness of the platform is demonstrated through estimation of electricity demand during the winter storm Uri in 2021 and hypothetical scenarios involving distributed energy resources, weatherization, and load electrification. Integration of distributed solar PV and storage improves local energy utilization and reduces potential unmet energy demand.

APPLIED ENERGY (2023)

Proceedings Paper Automation & Control Systems

Two-Stage Stochastic Planning for Control of Building Thermal Energy Storage Portfolios with Transactive Controls

Min Gyung Yu, Gregory S. Pavlak

2020 AMERICAN CONTROL CONFERENCE (ACC) (2020)

No Data Available