Classification, potential role, and modeling of power-to-heat and thermal energy storage in energy systems: A review

Md Nasimul Islam Maruf (Corresponding Author), Germán Morales-España, Jos Sijm, Niina Helistö, Juha Kiviluoma

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Most of the power-to-heat and thermal energy storage technologies are mature and impact the European energy transition. However, detailed models of these technologies are usually very complex, making it challenging to implement them in large-scale energy models, where simplicity, e.g., linearity and appropriate accuracy, are desirable due to computational limitations. In the literature, the main power-to-heat and thermal energy storage technologies across all sectors have not been clearly identified and characterized. Their potential roles have not been fully discussed from the European perspective, and their mathematical modeling equations have not been presented in a compiled form. This paper contributes to the research gap in three main parts. First, it identifies and classifies the major power-to-heat and thermal energy storage technologies that are climate-neutral, efficient, and technologically matured to supplement or substitute the current fossil fuel-based heating. The second part presents the technology readiness levels of the identified technologies and discusses their potential role in a sustainable European energy system. The third part presents the mathematical modeling equations for the technologies in large-scale optimization energy models. We identified electric heat pumps, electric boilers, electric resistance heaters, and hybrid heating systems as the most promising power-to-heat options. We grouped the most promising thermal energy storage technologies under four major categories. Low-temperature electric heat pumps, electric boilers, electric resistance heaters, and sensible and latent heat storage show high technology readiness levels to facilitate a large share of the heat demand. Finally, the mathematical formulations capture the main effects of the identified technologies.

Original languageEnglish
Article number102553
JournalSustainable Energy Technologies and Assessments
Volume53
DOIs
Publication statusE-pub ahead of print - Jul 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • Energy system modeling
  • Linear programming
  • P2H modeling
  • Power-to-heat
  • TES modeling
  • Thermal energy storage

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