Techno-economic optimization and feasibility of PCM-based seasonal thermal energy storage systems for district heating and cooling

Phase change materials (PCM) are an attractive seasonal thermal energy storage solution for load shifting due to relatively high energy density. Nevertheless, the choice of the right design parameters, such as storage size and phase-change temperature, is nontrivial, as these are tightly linked to the expected seasonal operation of the storage. This paper presents a combined design and operation optimization framework for sizing PCM-based seasonal thermal storage, which can capture dynamic behaviour of the storage in sensible and latent phases, and its impact on the efficiency of connected heat pumps and chillers. The proposed method, formulated as a mixed integer quadratically-constrained programming problem, was applied to a case study of heating-dominated district. It was found that the optimal PCM melting temperature equals to the heating demand supply temperature, thus removing the need of a heat pump to discharge the storage. The optimal operation of storage requires a full charging and discharging cycle of both latent and liquid phase. Higher CO<sub>2</sub> emission price does not lead to a significant reduction of CO<sub>2</sub> emissions, but the storage size does, leading to a higher heating coverage ratio of the storage, and consequently CO<sub>2</sub> emissions and cost savings, which can be further enhanced with PV integration. The economic analysis indicates that, unless other benefits such as storage volume reduction are accounted for, PCM cost should drop by a factor 4 to make this solution economically viable for seasonal storage.

Authors

Institutions

Publication Details

Journal
Energy and Buildings
Published
2024-10-18
DOI
https://doi.org/10.1016/j.enbuild.2024.114925
Citations
17
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
3.55

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Techno-economic optimization and feasibility of PCM-based seasonal thermal energy storage systems for district heating and cooling

Massimo Fiorentini, Jörg Worlitschek, Yang Tao
17 citations
Energy and Buildings
Integrated Energy Systems Optimization
3.55
article

Techno-economic optimization and feasibility of PCM-based seasonal thermal energy storage systems for district heating and cooling

Massimo Fiorentini, Jörg Worlitschek, Yang Tao
article en
17 citations

Abstract

Phase change materials (PCM) are an attractive seasonal thermal energy storage solution for load shifting due to relatively high energy density. Nevertheless, the choice of the right design parameters, such as storage size and phase-change temperature, is nontrivial, as these are tightly linked to the expected seasonal operation of the storage. This paper presents a combined design and operation optimization framework for sizing PCM-based seasonal thermal storage, which can capture dynamic behaviour of the storage in sensible and latent phases, and its impact on the efficiency of connected heat pumps and chillers. The proposed method, formulated as a mixed integer quadratically-constrained programming problem, was applied to a case study of heating-dominated district. It was found that the optimal PCM melting temperature equals to the heating demand supply temperature, thus removing the need of a heat pump to discharge the storage. The optimal operation of storage requires a full charging and discharging cycle of both latent and liquid phase. Higher CO<sub>2</sub> emission price does not lead to a significant reduction of CO<sub>2</sub> emissions, but the storage size does, leading to a higher heating coverage ratio of the storage, and consequently CO<sub>2</sub> emissions and cost savings, which can be further enhanced with PV integration. The economic analysis indicates that, unless other benefits such as storage volume reduction are accounted for, PCM cost should drop by a factor 4 to make this solution economically viable for seasonal storage.

Energy and BuildingsVol. 324
Aarhus School of Architecture (DK)
National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Affordable and clean energy
Openalex Percentile: Top 7%
Integrated Energy Systems Optimization
3.55
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.