Oleg Todorov
Over 20 years of experience in Mechanical Engineering and Construction as Project Manager.Project management and stakeholder coordination, engineering, construction, optimal integration of HVAC installations (heat, ventilation and air conditioning). Sustainable energy solutions and efficiency, renewable energy sources (solar, geothermal), heat pumps’ utilization for sustainable heating and cooling in buildings and networks, decarbonization. International professional background, problem solving and hands-on approach, customer and result orientation, team leadership.
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Papers by Oleg Todorov
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.
Books by Oleg Todorov
This dissertation analyses in the first place the integration of GSHP and aquifer thermal energy storage (ATES) in both district heating and cooling networks, in terms of technoeconomic feasibility, efficiency, and impact on the aquifer. A holistic integration and a mathematical modeling of GSHP operation and energy system management are proposed and demonstrated throughout two case studies in Finland. Hydrogeological and geographic data from different Finnish data sources are retrieved for calibrating and validating the groundwater models, used to simulate the long-term impact of GSHP-ATES operation.
Another Finnish case study and large-scale GSHP / borehole thermal energy storage (BTES) application - Aalto New Campus Complex - is also investigated in this research. The specifically developed methodology for management of measured data is considered essential due to its capability to handle data with high uncertainty (thermal meters) by using highly accurate data regarding GSHP power demand. Operational data and relevant GSHP performance indicators are presented and analyzed, and a variety of measures for improving system operation are proposed. Additionally, several methods are developed for modeling the effective thermal resistance of groundwater-filled boreholes, deploying a working algorithm coupled with BTES simulation tool. It is observed that in real operation the effective thermal resistance can vary significantly, concluding that its update is crucial for a reliable long-term simulation of the BTES field.
The overall argument of this dissertation is that, even with limited and uncertain data, it is possible to assess the ATES integration for district heating and cooling with reasonable accuracy. By dispatching heating and cooling loads in a single operation, GSHP-ATES integration is technically viable and economically feasible, causing a limited long-term impact on the aquifer. Furthermore, the dissertation also highlights the importance of accurate monitoring and modeling of operating GSHP–BTES energy systems, including detailed modeling of their groundwater-filled boreholes - for efficient, reliable and sustainable long-term operation.
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.
This dissertation analyses in the first place the integration of GSHP and aquifer thermal energy storage (ATES) in both district heating and cooling networks, in terms of technoeconomic feasibility, efficiency, and impact on the aquifer. A holistic integration and a mathematical modeling of GSHP operation and energy system management are proposed and demonstrated throughout two case studies in Finland. Hydrogeological and geographic data from different Finnish data sources are retrieved for calibrating and validating the groundwater models, used to simulate the long-term impact of GSHP-ATES operation.
Another Finnish case study and large-scale GSHP / borehole thermal energy storage (BTES) application - Aalto New Campus Complex - is also investigated in this research. The specifically developed methodology for management of measured data is considered essential due to its capability to handle data with high uncertainty (thermal meters) by using highly accurate data regarding GSHP power demand. Operational data and relevant GSHP performance indicators are presented and analyzed, and a variety of measures for improving system operation are proposed. Additionally, several methods are developed for modeling the effective thermal resistance of groundwater-filled boreholes, deploying a working algorithm coupled with BTES simulation tool. It is observed that in real operation the effective thermal resistance can vary significantly, concluding that its update is crucial for a reliable long-term simulation of the BTES field.
The overall argument of this dissertation is that, even with limited and uncertain data, it is possible to assess the ATES integration for district heating and cooling with reasonable accuracy. By dispatching heating and cooling loads in a single operation, GSHP-ATES integration is technically viable and economically feasible, causing a limited long-term impact on the aquifer. Furthermore, the dissertation also highlights the importance of accurate monitoring and modeling of operating GSHP–BTES energy systems, including detailed modeling of their groundwater-filled boreholes - for efficient, reliable and sustainable long-term operation.