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

热能储存 储能 工艺工程 可再生能源 电力 热能 电加热 余热 计算机科学 机械工程 环境科学 功率(物理) 工程类 混合热 热力学 物理 热交换器
作者
Md. Nasimul Islam Maruf,Germán Morales-España,Jos Sijm,Niina Helistö,Juha Kiviluoma
出处
期刊:Sustainable Energy Technologies and Assessments [Elsevier BV]
卷期号:53: 102553-102553 被引量:71
标识
DOI:10.1016/j.seta.2022.102553
摘要

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.
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