Cited by 19

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Retrofitting Buildings into Thermal Batteries for Demand-Side Flexibility and Thermal Safety during Power Outages in Winter

Erba, Silvia, Barbieri, Alessandra·2022·Energies

Abstract

Decarbonizing heating in buildings is a key part of climate change mitigation policies, but deep retrofit is progressing slowly, e.g., at a pace of 0.2%/y of the building stock in Europe. By means of tests in two flats of a multiapartment housing complex recently renovated to very low values of energy needs, this paper explores the role of deep retrofitted buildings in providing energy flexibility services for the occupants/owners/managers and for the energy system. Key to this flexibility increase and capacity savings is the large reduction of energy needs for heating via a high level of external insulation, which allows the thermal capacity of the building mass to act as an energy storage, without the large energy losses presently affecting a large part of the building stock. Due to the limited number of case studies reporting experimental applications in real buildings, this research aims to offer an analysis based on a series of tests and detailed monitoring which show a significant increase in the time interval during which the low-energy-needs building remains in the comfort range, compared to a high-energy-needs building, when active delivery of energy is deactivated during the heating season. Intermittent renewable energy might hence be stored when available, thus enhancing the ability of the energy system to manage inherent variability of some renewable energy sources and/or increasing the share of the self-consumption of locally generated RES energy. Besides, two unplanned heating power outages which have involved the entire building complex allowed us to verify that deep retrofitted buildings are able to maintain thermally safe indoor conditions under extreme events, such as a power outage, for at least 5 days.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/en15124405

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 2 references

Research works printed but not linked: 45

  1. Rosen, 2020, A review of energy storage types, applications and recent developments, J. Energy Storage, 27, 101047, 10.1016/j.est.2019.101047 · DOI · Paper page
  2. Arteconi, 2012, State of the art of thermal storage for demand-side management, Appl. Energy, 93, 371, 10.1016/j.apenergy.2011.12.045 · DOI
  3. Heier, 2015, Combining thermal energy storage with buildings—A review, Renew. Sustain. Energy Rev., 42, 1305, 10.1016/j.rser.2014.11.031 · DOI
  4. Sarbu, I., and Sebarchievici, C. (2018). A Comprehensive Review of Thermal Energy Storage. Sustainability, 10. · DOI · Paper page
  5. Jensen, 2017, IEA EBC Annex 67 Energy Flexible Buildings, Energy Build., 155, 25, 10.1016/j.enbuild.2017.08.044 · DOI
  6. Foteinaki, 2018, Heating system energy flexibility of low-energy residential buildings, Energy Build., 180, 95, 10.1016/j.enbuild.2018.09.030 · DOI
  7. Johra, 2019, Influence of envelope, structural thermal mass and indoor content on the building heating energy flexibility, Energy Build., 183, 325, 10.1016/j.enbuild.2018.11.012 · DOI
  8. Heiselberg, 2016, Energy flexibility of residential buildings using short term heat storage in the thermal mass, Energy, 111, 991, 10.1016/j.energy.2016.05.076 · DOI
  9. Mateus, 2019, Measured and modeled performance of internal mass as a thermal energy battery for energy flexible residential buildings, Appl. Energy, 239, 252, 10.1016/j.apenergy.2019.01.200 · DOI
  10. Wijesuriya, 2022, Building energy efficiency and load flexibility optimization using phase change materials under futuristic grid scenario, J. Clean. Prod., 339, 130561, 10.1016/j.jclepro.2022.130561 · DOI
  11. Johra, 2017, Influence of internal thermal mass on the indoor thermal dynamics and integration of phase change materials in furniture for building energy storage: A review, Renew. Sustain. Energy Rev., 69, 19, 10.1016/j.rser.2016.11.145 · DOI
  12. Balint, 2019, Determinants of energy flexibility in residential hot water systems, Energy Build., 188–189, 286, 10.1016/j.enbuild.2019.02.016 · DOI
  13. Conti, 2019, Mapping the energy flexibility potential of single buildings equipped with optimally-controlled heat pump, gas boilers and thermal storage, Sustain. Cities Soc., 50, 101689, 10.1016/j.scs.2019.101689 · DOI
  14. Chen, 2020, Experimental investigation of demand response potential of buildings: Combined passive thermal mass and active storage, Appl. Energy, 280, 115956, 10.1016/j.apenergy.2020.115956 · DOI
  15. Stinner, 2016, Quantifying the operational flexibility of building energy systems with thermal energy storages, Appl. Energy, 181, 140, 10.1016/j.apenergy.2016.08.055 · DOI
  16. Reynders, 2018, Energy flexible buildings: An evaluation of definitions and quantification methodologies applied to thermal storage, Energy Build., 166, 372, 10.1016/j.enbuild.2018.02.040 · DOI
  17. Attia, 2021, Resilient cooling of buildings to protect against heat waves and power outages: Key concepts and definition, Energy Build., 239, 110869, 10.1016/j.enbuild.2021.110869 · DOI · Paper page
  18. Monteiro, 2017, Addressing the challenges of public housing retrofits, Energy Procedia, 134, 442, 10.1016/j.egypro.2017.09.600 · DOI
  19. Erba, S., and Pagliano, L. (2021). Combining Sufficiency, Efficiency and Flexibility to Achieve Positive Energy Districts Targets. Energies, 14. · DOI
  20. Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S.L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., and Gomis, M.I. (2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press.
  21. Bianco, 2015, Historical trends and current state of heating and cooling degree days in Italy, Energy Convers. Manag., 90, 323, 10.1016/j.enconman.2014.11.022 · DOI
  22. Morris, 1994, Experimental and simulated performance of optimal control of building thermal storage, ASHRAE Trans., 100, 402
  23. Reynders, 2013, Potential of structural thermal mass for demand-side management in dwellings, Build. Environ., 64, 187, 10.1016/j.buildenv.2013.03.010 · DOI
  24. Vivian, 2020, A sensitivity analysis on the heating and cooling energy flexibility of residential buildings, Sustain. Cities Soc., 52, 101815, 10.1016/j.scs.2019.101815 · DOI
  25. Foteinaki, 2020, Evaluation of energy flexibility of low-energy residential buildings connected to district heating, Energy Build., 213, 109804, 10.1016/j.enbuild.2020.109804 · DOI
  26. Orosa, 2012, A field study on building inertia and its effects on indoor thermal environment, Renew. Energy, 37, 89, 10.1016/j.renene.2011.06.009 · DOI
  27. Kensby, 2015, Potential of residential buildings as thermal energy storage in district heating systems—Results from a pilot test, Appl. Energy, 137, 773, 10.1016/j.apenergy.2014.07.026 · DOI
  28. Lu, 2021, Cooling system energy flexibility of a nearly zero-energy office building using building thermal mass: Potential evaluation and parametric analysis, Energy Build., 236, 110763, 10.1016/j.enbuild.2021.110763 · DOI
  29. Hu, 2019, Price-responsive model predictive control of floor heating systems for demand response using building thermal mass, Appl. Therm. Eng., 153, 316, 10.1016/j.applthermaleng.2019.02.107 · DOI
  30. Liu, 2019, Energy flexibility of a nearly zero-energy building with weather predictive control on a convective building energy system and evaluated with different metrics, Appl. Energy, 233–234, 764, 10.1016/j.apenergy.2018.10.070 · DOI
  31. Reynders, 2017, Generic characterization method for energy flexibility: Applied to structural thermal storage in residential buildings, Appl. Energy, 198, 192, 10.1016/j.apenergy.2017.04.061 · DOI
  32. Homaei, S., and Hamdy, M. (2021). Quantification of Energy Flexibility and Survivability of All-Electric Buildings with Cost-Effective Battery Size: Methodology and Indexes. Energies, 14. · DOI
  33. Wilson, A. (2021). Passive Survivability. Climate Adaptation and Resilience Across Scales, Routledge. · DOI
  34. Ozkan, 2019, Development and visualization of time-based building energy performance metrics, Build. Res. Inf., 47, 493, 10.1080/09613218.2018.1451959 · DOI
  35. Wolisz, H., Harb, H., Matthes, P., Streblow, R., and Müller, D. (2013, January 26–28). Dynamic simulation of thermal capacity and charging/discharging performance for sensible heat storage in building wall mass. Proceedings of the 13th Conference of International Building Performance Simulation Association, Chambéry, France. · DOI
  36. Chen, 2019, Quantification of electricity flexibility in demand response: Office building case study, Energy, 188, 116054, 10.1016/j.energy.2019.116054 · DOI
  37. Fulterer, 2019, Energy flexibility of domestic thermal loads—A building typology approach of the residential building stock in Austria, Adv. Build. Energy Res., 13, 122, 10.1080/17512549.2017.1420606 · DOI
  38. Christensen, 2020, Demand side management of heat in smart homes: Living-lab experiments, Energy, 195, 116993, 10.1016/j.energy.2020.116993 · DOI
  39. Zhang, X., Gao, W., Li, Y., Wang, Z., Ushifusa, Y., and Ruan, Y. (2021). Operational performance and load flexibility analysis of japanese zero energy house. Int. J. Environ. Res. Public Health, 18. · DOI
  40. Lu, 2022, Energy flexibility assessment of a zero-energy office building with building thermal mass in short-term demand-side management, J. Build. Eng., 50, 104214, 10.1016/j.jobe.2022.104214 · DOI
  41. Ding, 2022, Load shifting potential assessment of building thermal storage performance for building design, Energy, 243, 123036, 10.1016/j.energy.2021.123036 · DOI
  42. Tartarini, 2020, CBE Thermal Comfort Tool: Online tool for thermal comfort calculations and visualizations, SoftwareX, 12, 100563, 10.1016/j.softx.2020.100563 · DOI
  43. (2022, April 01). ASHRAE Transactions—2016 Winter Conference—Orlando, FL Volume 122, Part 1. Available online: https://www.techstreet.com/standards/ashrae-transactions-2016-winter-conference-orlando-fl-vol-122-part-1?product_id=1914973.
  44. Salvia, G., Morello, E., Rotondo, F., Sangalli, A., Causone, F., Erba, S., and Pagliano, L. (2020). Performance Gap and Occupant Behavior in Building Retrofit: Focus on Dynamics of Change and Continuity in the Practice of Indoor Heating. Sustainability, 12. · DOI
  45. Jackson, 2018, Global energy growth is outpacing decarbonization, Environ. Res. Lett., 13, 120401, 10.1088/1748-9326/aaf303 · DOI

Metadata

Authors
Erba, S., & Barbieri, A.
Venue
Energies
Publisher
MDPI AG
Published
2022-06-16
Volume
15
Issue
12
Pages
4405
ISSN
1996-1073
Cited by
19
References
2
Language
en
Funders
  • European Union (957128)
  • INPS (Istituto Nazionale Previdenza Sociale) (957128)

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: Retrofitting Buildings into Thermal Batteries for Demand-Side Flexibility and Thermal Safety during Power Outages in Winter. https://app.cochat.ai/papers/10.3390/en15124405
The paper
Erba, S., & Barbieri, A. (2022). Retrofitting Buildings into Thermal Batteries for Demand-Side Flexibility and Thermal Safety during Power Outages in Winter. Energies. https://doi.org/10.3390/en15124405