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Optimal Coordination of Solar-assisted Geothermal-based Integrated Energy Systems Considering Soil Thermal Dynamics

  • Xi'an Jiaotong University
  • Ltd.
  • Tsinghua University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To address escalating carbon emissions from heating in cold regions and seasonal mismatches in renewable energy utilization, this paper proposes a solar-assisted geothermal-based integrated energy system that ensures sustainable geothermal utilization and resolves solar energy intermittency by replenishing soil thermal reserves with surplus solar energy during non-heating seasons. A mixed-integer linear programming framework is developed to model the spatiotemporal thermal dynamics of the soil thermal energy storage system, incorporating operational constraints of energy supply and storage devices. The framework incorporates thermal interference between boreholes and employs piecewise linearization techniques to address nonlinear energy conversion constraints inherent to ground source heat pump (GSHP) operations. Numerical results demonstrate that the proposed method reduces the soil thermal imbalance ratio from 42% to 3%, effectively mitigating thermal depletion of GSHP under cold climates. Simultaneously, the system achieves 100% solar energy utilization efficiency and reduces operation costs by 5% through seasonal thermal storage. This work provides a cost-effective and sustainable paradigm for optimizing clean heating systems in cold regions, balancing economic viability with long-term environmental benefits.

Original languageEnglish
Title of host publication2025 IEEE 21st International Conference on Automation Science and Engineering, CASE 2025
PublisherIEEE Computer Society
Pages2675-2680
Number of pages6
ISBN (Electronic)9798331522469
DOIs
StatePublished - 2025
Event21st IEEE International Conference on Automation Science and Engineering, CASE 2025 - Los Angeles, United States
Duration: 17 Aug 202521 Aug 2025

Publication series

NameIEEE International Conference on Automation Science and Engineering
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference21st IEEE International Conference on Automation Science and Engineering, CASE 2025
Country/TerritoryUnited States
CityLos Angeles
Period17/08/2521/08/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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