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Retrofitting Buildings into Thermal Batteries for Demand-Side Flexibility and Thermal Safety during Power Outages in Winter
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.
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Cites
Resilient cooling strategies – A critical review and qualitative assessment
Zhang, C., Kazanci, O. B., Levinson, R., Heiselberg, P., Olesen, B. W., Chiesa, G., Sodagar, B., Ai, Z., Selkowitz, S., Zinzi, M., et al. (2021) · Energy and Buildings · doi:10.1016/j.enbuild.2021.111312 · Cited by 180
Kuczyński, T., & Staszczuk, A. (2020) · Energy · doi:10.1016/j.energy.2020.116984 · Cited by 131
Research works printed but not linked: 45
- 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
- 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
- Heier, 2015, Combining thermal energy storage with buildings—A review, Renew. Sustain. Energy Rev., 42, 1305, 10.1016/j.rser.2014.11.031 · DOI
- Sarbu, I., and Sebarchievici, C. (2018). A Comprehensive Review of Thermal Energy Storage. Sustainability, 10. · DOI · Paper page
- Jensen, 2017, IEA EBC Annex 67 Energy Flexible Buildings, Energy Build., 155, 25, 10.1016/j.enbuild.2017.08.044 · DOI
- Foteinaki, 2018, Heating system energy flexibility of low-energy residential buildings, Energy Build., 180, 95, 10.1016/j.enbuild.2018.09.030 · DOI
- 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
- 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
- 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
- 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
- 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
- Balint, 2019, Determinants of energy flexibility in residential hot water systems, Energy Build., 188–189, 286, 10.1016/j.enbuild.2019.02.016 · DOI
- 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
- 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
- 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
- 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
- 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
- Monteiro, 2017, Addressing the challenges of public housing retrofits, Energy Procedia, 134, 442, 10.1016/j.egypro.2017.09.600 · DOI
- Erba, S., and Pagliano, L. (2021). Combining Sufficiency, Efficiency and Flexibility to Achieve Positive Energy Districts Targets. Energies, 14. · DOI
- 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.
- 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
- Morris, 1994, Experimental and simulated performance of optimal control of building thermal storage, ASHRAE Trans., 100, 402
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Wilson, A. (2021). Passive Survivability. Climate Adaptation and Resilience Across Scales, Routledge. · DOI
- Ozkan, 2019, Development and visualization of time-based building energy performance metrics, Build. Res. Inf., 47, 493, 10.1080/09613218.2018.1451959 · DOI
- 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
- Chen, 2019, Quantification of electricity flexibility in demand response: Office building case study, Energy, 188, 116054, 10.1016/j.energy.2019.116054 · DOI
- 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
- Christensen, 2020, Demand side management of heat in smart homes: Living-lab experiments, Energy, 195, 116993, 10.1016/j.energy.2020.116993 · DOI
- 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
- 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
- Ding, 2022, Load shifting potential assessment of building thermal storage performance for building design, Energy, 243, 123036, 10.1016/j.energy.2021.123036 · DOI
- Tartarini, 2020, CBE Thermal Comfort Tool: Online tool for thermal comfort calculations and visualizations, SoftwareX, 12, 100563, 10.1016/j.softx.2020.100563 · DOI
- (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.
- 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
- 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)
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