The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Comparative Analysis of Battery and Thermal Energy Storage for Residential Photovoltaic Heat Pump Systems in Building Electrification
Abstract
Buildings with electrified heat pump systems, onsite photovoltaic (PV) generation, and energy storage offer strong potential for demand flexibility. This study compares two storage configurations, thermal energy storage (TES) and battery energy storage (BESS), to evaluate their impact on cooling performance and cost savings. A Model Predictive Control (MPC) framework was developed to optimize system operations, aiming to minimize costs while maintaining occupant comfort. Results show that both configurations achieve substantial savings relative to a baseline. The TES system reduces daily operating costs by about 50%, while the BESS nearly eliminates them (over 90% reduction) and cuts grid electricity use by more than 65%. The BESS achieves superior performance because it can serve both the controllable heating, ventilation, and air conditioning (HVAC) system and the home’s broader electrical loads, thereby maximizing PV self-consumption. In contrast, the TES primarily influences the thermal load. These findings highlight that the choice between thermal and electrical storage greatly affects system outcomes. While the BESS provides a more comprehensive solution for whole-home energy management by addressing all electrical demands, further techno-economic evaluation is needed to assess the long-term feasibility and trade-offs of each configuration.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
EnergyPlus: creating a new-generation building energy simulation program
Crawley, D. B., Lawrie, L. K., Winkelmann, F. C., Buhl, W. F., Huang, Y. J., Pedersen, C. O., Strand, R. K., Liesen, R. J., Fisher, D. E., Witte, M. J., et al. (2001) · Energy and Buildings · doi:10.1016/s0378-7788(00)00114-6 · Cited by 2,822
An overview of thermal energy storage systems
Alva, G., Lin, Y., & Fang, G. (2018) · Energy · doi:10.1016/j.energy.2017.12.037 · Cited by 1,408
Theory and applications of HVAC control systems – A review of model predictive control (MPC)
Afram, A., & Janabi-Sharifi, F. (2014) · Building and Environment · doi:10.1016/j.buildenv.2013.11.016 · Cited by 1,310
Review on model predictive control: an engineering perspective
Schwenzer, M., Ay, M., Bergs, T., & Abel, D. (2021) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-021-07682-3 · Cited by 1,132
All you need to know about model predictive control for buildings
Drgoňa, J., Arroyo, J., Cupeiro Figueroa, I., Blum, D., Arendt, K., Kim, D., Ollé, E. P., Oravec, J., Wetter, M., Vrabie, D. L., et al. (2020) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2020.09.001 · Cited by 1,020
Energy storage systems: a review
Mitali, J., Dhinakaran, S., & Mohamad, A. A. (2022) · Energy Storage and Saving · doi:10.1016/j.enss.2022.07.002 · Cited by 911
State of the art of thermal storage for demand-side management
Arteconi, A., Hewitt, N. J., & Polonara, F. (2012) · Applied Energy · doi:10.1016/j.apenergy.2011.12.045 · Cited by 512
Yao, Y., & Shekhar, D. K. (2021) · Building and Environment · doi:10.1016/j.buildenv.2021.107952 · Cited by 447
Sadeghi, G. (2022) · Energy Storage Materials · doi:10.1016/j.ensm.2022.01.017 · Cited by 380
Seasonal thermal energy storage: A techno-economic literature review
Yang, T., Liu, W., Kramer, G. J., & Sun, Q. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.110732 · Cited by 324
Research works printed but not linked: 4
- Jia, W., Yang, Z., Liu, M., Fu, Y., and O’Neill, Z. (2023, January 4–8). Model-Based Characterization of Heat Pump—Thermal Energy Storage Systems for Grid-Interactive Services. Proceedings of the ASHRAE Transactions, Atlanta, GA, USA.
- Liu, M., Yang, Z., and O’Neill, Z. (2024, January 15–18). Design And Optimization Of The Conventional Heat Pump With Thermal Energy Storage For Grid-Interactive Efficient Buildings. Proceedings of the 8th International High Performance Buildings Conference, West Lafayette, IN, USA.
- Zhang, Y., Liu, M., Yang, Z., Calfa, C., and O’Neill, Z. (2024, January 14–16). Development and Validation of a Water-to-Air Heat Pump Model Using Modelica. Proceedings of the American Modelica Conference 2024, Storrs, CT, USA.
- Briggs, 2003, Climate Classification for Building Energy Codes and Standards: Part 2-Zone Definitions, Maps, and Comparisons, Ashrae Trans., 109, 122
Metadata
- Authors
- Liu, M., Chen, W.-A., Gao, Y., & Hu, Z.
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2025-10-25
- Volume
- 17
- Issue
- 21
- Pages
- 9497
- ISSN
- 2071-1050
- Cited by
- 9
- References
- 35
- Language
- en
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Comparative Analysis of Battery and Thermal Energy Storage for Residential Photovoltaic Heat Pump Systems in Building Electrification. https://app.cochat.ai/papers/10.3390/su17219497
- The paper
- Liu, M., Chen, W.-A., Gao, Y., & Hu, Z. (2025). Comparative Analysis of Battery and Thermal Energy Storage for Residential Photovoltaic Heat Pump Systems in Building Electrification. Sustainability. https://doi.org/10.3390/su17219497
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.