Classification, potential role, and modeling of power-to-heat and thermal energy storage in energy systems: A review. (October 2022)

• Record Type: Journal Article
• Authors: Maruf, Md. Nasimul Islam; Morales-España, Germán; Sijm, Jos; Helistö, Niina; Kiviluoma, Juha
• Is Part Of: Sustainable energy technologies and assessments. Volume 53:Part B(2022)
• Publication Date: 2022-10
• Subjects: Power-to-heat -- Thermal energy storage -- Energy system modeling -- P2H modeling -- TES modeling -- Linear programming; °C Degree Celsius -- CAES Compressed Air Energy Storage -- CHP Combined Heat and Power -- CO2 Carbon dioxide -- COP Coefficient of Performance -- ETS Electrical Thermal Storage -- EU European Union -- FOR Feasible Operating Region -- GWh Gigawatt-hour -- HRE Heat Roadmap Europe -- HTHP High-temperature Heat Pump -- HTPCM High-temperature PCM -- K Kelvin -- kV Kilovolt -- LAES Liquid Air Energy Storage -- LHS Latent Heat Storage -- LP Linear Programming -- LPCM Low-temperature PCM -- MILP Mixed-integer Linear Programming -- MW Megawatt -- NLP Nonlinear Programming -- P2H Power-to-heat -- PCM Phase Change Material -- PHS Passive Heat Storage -- PJ Petajoule -- SHS Sensible Heat Storage -- SPCM Sub-zero Temperature PCM -- SSTS Solid State Thermal Storage -- TCS Trade, Commerce, and Services -- TES Thermal Energy Storage -- THS Thermo-chemical Heat Storage -- TMS Thermo-mechanical Heat Storage -- TRL Technology Readiness Level -- TTES Tank Thermal Energy Storage -- TWh Terawatt-hour -- UK United Kingdom -- UTES Underground Thermal Energy Storage -- V Volt -- VRE Variable Renewable Energy; Renewable energy sources -- Periodicals; Energy development -- Technological innovations -- Periodicals; Electric power production -- Periodicals; Energy storage -- Periodicals; 333.79
• DOI: 10.1016/j.seta.2022.102553
• Languages: English
• ISSNs: 2213-1388

Abstract

Graphical abstract: Highlights: Classification, potential, and models of P2H and TES technologies are presented. Heat pumps, boilers, resistance heaters, and hybrid systems are the most promising P2H. Sensible and latent heat storages are the most prominent TES. CHP will play an essential role in coupling power and heat sectors. Mathematical models of P2H and TES for large-scale energy models are presented. 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.