Investigation of pre-cooling as a recommended measure to improve residential buildings’ thermal resilience during heat waves

Zeng, Zhaoyun; Zhang, Wanni; Sun, Kaiyu; Wei, Max; Hong, Tianzhen

doi:10.1016/j.buildenv.2021.108694

Title: Investigation of pre-cooling as a recommended measure to improve residential buildings’ thermal resilience during heat waves

Journal Article · 23 December 2021 · Building and Environment

DOI: https://doi.org/10.1016/j.buildenv.2021.108694 · OSTI ID:1869655

^[1]; Zhang, Wanni ^[1];

^[1]; Wei, Max ^[1];

^[1]

Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

More intense heat waves are expected to occur more frequently in the twenty-first century. During severe heat waves, cooling capacity shortfall and overheating are likely to occur in residential buildings, and this will adversely affect occupant's thermal comfort and productivity. We propose a strategy of pre-cooling the house during off-peak hours to mitigate overheating during heat waves. Additionally, simulation results of a prototype single-family house show that adopting the rule-based control (RBC) of pre-cooling thermostat setpoint schedule is effective in reducing thermal discomfort, and that the efficacy of pre-cooling depends upon several building characteristics. An optimized control (OC) of the thermostat setpoint schedule was developed based on the simulation of a prototype building. A simplified yet improved RBC (IRBC) pre-cooling schedule was then extracted from the OC schedule for practical implementation at a larger scale. The effects of the RBC schedule and IRBC schedule were evaluated in the King District of Fresno, which contains 814 residential buildings. Results show that both thermostat setpoint schedules can reduce overheating effectively and that IRBC is slightly better than RBC for most buildings. The findings support the California government's recommendation on pre-cooling to mitigate overheating, which can be further improved with an optimized thermostat setpoint schedule broadcast to residents through early alert messages before a heat wave.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Building Technologies Office; California Strategic Growth Council

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1869655

Journal Information:: Building and Environment, Journal Name: Building and Environment Vol. 210; ISSN 0360-1323

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (46)

Survey of multi-objective optimization methods for engineering Marler, R. T.; Arora, J. S. Structural and Multidisciplinary Optimization, Vol. 26, Issue 6 https://doi.org/10.1007/s00158-003-0368-6	journal	April 2004
Shaving residential air-conditioner electricity peaks by intelligent use of the building thermal mass Reddy, T. A.; Norford, L. K.; Kempton, W. Energy, Vol. 16, Issue 7 https://doi.org/10.1016/0360-5442(91)90060-Y	journal	July 1991
The 1987 Athens Heatwave Katsouyanni, K.; Trichopoulos, D.; Zavitsanos, X. The Lancet, Vol. 332, Issue 8610 https://doi.org/10.1016/S0140-6736(88)92699-2	journal	September 1988
Inclusion of cool roofs in nonresidential Title 24 prescriptive requirements Levinson, Ronnen; Akbari, Hashem; Konopacki, Steve Energy Policy, Vol. 33, Issue 2, p. 151-170 https://doi.org/10.1016/S0301-4215(03)00206-4	journal	January 2005
Peak power and cooling energy savings of high-albedo roofs Akbari, Hashem; Bretz, Sarah; Kurn, Dan M. Energy and Buildings, Vol. 25, Issue 2 https://doi.org/10.1016/S0378-7788(96)01001-8	journal	January 1997
Analysis of differences in hot-weather-related mortality across 44 U.S. metropolitan areas Chestnut, Lauraine G.; Breffle, William S.; Smith, Joel B. Environmental Science & Policy, Vol. 1, Issue 1 https://doi.org/10.1016/S1462-9011(98)00015-X	journal	March 1998
Predicting city-scale daily electricity consumption using data-driven models Wang, Zhe; Hong, Tianzhen; Li, Han Advances in Applied Energy, Vol. 2 https://doi.org/10.1016/j.adapen.2021.100025	journal	May 2021
A case study for influence of building thermal insulation on cooling load and air-conditioning system in the hot and humid regions Aktacir, Mehmet Azmi; Büyükalaca, Orhan; Yılmaz, Tuncay Applied Energy, Vol. 87, Issue 2 https://doi.org/10.1016/j.apenergy.2009.05.008	journal	February 2010
A novel method to determine the motor efficiency under variable speed operations and partial load conditions Li, Yunhua; Liu, Mingsheng; Lau, Josephine Applied Energy, Vol. 144 https://doi.org/10.1016/j.apenergy.2015.01.064	journal	April 2015
Optimal control and performance of photovoltachromic switchable glazing for building integration in temperate climates Favoino, Fabio; Fiorito, Francesco; Cannavale, Alessandro Applied Energy, Vol. 178 https://doi.org/10.1016/j.apenergy.2016.06.107	journal	September 2016
Quantifying impacts of heat waves on power grid operation Ke, Xinda; Wu, Di; Rice, Jennie Applied Energy, Vol. 183 https://doi.org/10.1016/j.apenergy.2016.08.188	journal	December 2016
Effects of intelligent strategy planning models on residential HVAC system energy demand and cost during the heating and cooling seasons Alibabaei, Nima; Fung, Alan S.; Raahemifar, Kaamran Applied Energy, Vol. 185 https://doi.org/10.1016/j.apenergy.2016.10.062	journal	January 2017
Automatic generation and simulation of urban building energy models based on city datasets for city-scale building retrofit analysis Chen, Yixing; Hong, Tianzhen; Piette, Mary Ann Applied Energy, Vol. 205 https://doi.org/10.1016/j.apenergy.2017.07.128	journal	November 2017
Using collective intelligence to enhance demand flexibility and climate resilience in urban areas Nik, Vahid M.; Moazami, Amin Applied Energy, Vol. 281 https://doi.org/10.1016/j.apenergy.2020.116106	journal	January 2021
Partial load efficiency degradation of a water-to-water heat pump under fixed set-point control Waddicor, David A.; Fuentes, Elena; Azar, Marc Applied Thermal Engineering, Vol. 106 https://doi.org/10.1016/j.applthermaleng.2016.05.193	journal	August 2016
Impact of electricity rate structures on energy cost savings of pre-cooling controls for office buildings Morgan, Stephen; Krarti, Moncef Building and Environment, Vol. 42, Issue 8 https://doi.org/10.1016/j.buildenv.2005.11.010	journal	August 2007
Energy and visual comfort performance of electrochromic windows with overhangs Lee, E. S.; Tavil, A. Building and Environment, Vol. 42, Issue 6 https://doi.org/10.1016/j.buildenv.2006.04.016	journal	June 2007
Model-based demand-limiting control of building thermal mass Lee, Kyoung-ho; Braun, James E. Building and Environment, Vol. 43, Issue 10, p. 1633-1646 https://doi.org/10.1016/j.buildenv.2007.10.009	journal	October 2008
Ten questions concerning model predictive control for energy efficient buildings Killian, M.; Kozek, M. Building and Environment, Vol. 105 https://doi.org/10.1016/j.buildenv.2016.05.034	journal	August 2016
Energy-efficient envelope design for high-rise apartments Cheung, C. K.; Fuller, R. J.; Luther, M. B. Energy and Buildings, Vol. 37, Issue 1 https://doi.org/10.1016/j.enbuild.2004.05.002	journal	January 2005
Effect of roof solar reflectance on the building heat gain in a hot climate Suehrcke, Harry; Peterson, Eric L.; Selby, Neville Energy and Buildings, Vol. 40, Issue 12 https://doi.org/10.1016/j.enbuild.2008.06.015	journal	January 2008
Study on Auto-DR and pre-cooling of commercial buildings with thermal mass in California Yin, Rongxin; Xu, Peng; Piette, Mary Ann Energy and Buildings, Vol. 42, Issue 7 https://doi.org/10.1016/j.enbuild.2010.01.008	journal	July 2010
Thermostat strategies impact on energy consumption in residential buildings Moon, Jin Woo; Han, Seung-Hoon Energy and Buildings, Vol. 43, Issue 2-3 https://doi.org/10.1016/j.enbuild.2010.09.024	journal	February 2011
Analysis and modelling of window and glazing systems energy performance for a well insulated residential building Gasparella, Andrea; Pernigotto, Giovanni; Cappelletti, Francesca Energy and Buildings, Vol. 43, Issue 4 https://doi.org/10.1016/j.enbuild.2010.12.032	journal	April 2011
Evaluation of automatic priced based thermostat control for peak energy reduction under residential time-of-use utility tariffs Surles, William; Henze, Gregor P. Energy and Buildings, Vol. 49 https://doi.org/10.1016/j.enbuild.2012.01.042	journal	June 2012
Reducing cooling demands in a hot dry climate: A simulation study for non-insulated passive cool roof thermal performance in residential buildings Dabaieh, Marwa; Wanas, Omar; Hegazy, Mohamed Amer Energy and Buildings, Vol. 89 https://doi.org/10.1016/j.enbuild.2014.12.034	journal	February 2015
Integrated HVAC management and optimal scheduling of smart appliances for community peak load reduction Perez, Krystian X.; Baldea, Michael; Edgar, Thomas F. Energy and Buildings, Vol. 123 https://doi.org/10.1016/j.enbuild.2016.04.003	journal	July 2016
Design and analysis of optimal pre-cooling in residential buildings Wang, Junke; Tang, Choon Yik; Song, Li Energy and Buildings, Vol. 216 https://doi.org/10.1016/j.enbuild.2020.109951	journal	June 2020
Passive cooling designs to improve heat resilience of homes in underserved and vulnerable communities Sun, Kaiyu; Zhang, Wanni; Zeng, Zhaoyun Energy and Buildings, Vol. 252 https://doi.org/10.1016/j.enbuild.2021.111383	journal	December 2021
Impacts of climate change on energy consumption and peak demand in buildings: A detailed regional approach Dirks, James A.; Gorrissen, Willy J.; Hathaway, John H. Energy, Vol. 79 https://doi.org/10.1016/j.energy.2014.08.081	journal	January 2015
Multi-objective optimization for thermal mass model predictive control in small and medium size commercial buildings under summer weather conditions Li, Xiwang; Malkawi, Ali Energy, Vol. 112 https://doi.org/10.1016/j.energy.2016.07.021	journal	October 2016
Design and control optimisation of adaptive insulation systems for office buildings. Part 1: Adaptive technologies and simulation framework Favoino, Fabio; Jin, Qian; Overend, Mauro Energy, Vol. 127 https://doi.org/10.1016/j.energy.2017.03.083	journal	May 2017
A summary of demand response in electricity markets Albadi, M. H.; El-Saadany, E. F. Electric Power Systems Research, Vol. 78, Issue 11 https://doi.org/10.1016/j.epsr.2008.04.002	journal	November 2008
Integration of smart windows into building design for reduction of yearly overall energy consumption and peak loads Dussault, Jean-Michel; Gosselin, Louis; Galstian, Tigran Solar Energy, Vol. 86, Issue 11 https://doi.org/10.1016/j.solener.2012.07.016	journal	November 2012
Properties, requirements and possibilities of smart windows for dynamic daylight and solar energy control in buildings: A state-of-the-art review Baetens, Ruben; Jelle, Bjørn Petter; Gustavsen, Arild Solar Energy Materials and Solar Cells, Vol. 94, Issue 2, p. 87-105 https://doi.org/10.1016/j.solmat.2009.08.021	journal	February 2010
Energy performance assessment of an electrochromic window Papaefthimiou, S.; Syrrakou, E.; Yianoulis, P. Thin Solid Films, Vol. 502, Issue 1-2 https://doi.org/10.1016/j.tsf.2005.07.294	journal	April 2006
The role of increasing temperature variability in European summer heatwaves Schär, Christoph; Vidale, Pier Luigi; Lüthi, Daniel Nature, Vol. 427, Issue 6972 https://doi.org/10.1038/nature02300	journal	January 2004
Heat stress causes substantial labour productivity loss in Australia Zander, Kerstin K.; Botzen, Wouter J. W.; Oppermann, Elspeth Nature Climate Change, Vol. 5, Issue 7 https://doi.org/10.1038/nclimate2623	journal	May 2015
Global risk of deadly heat Mora, Camilo; Dousset, Bénédicte; Caldwell, Iain R. Nature Climate Change, Vol. 7, Issue 7 https://doi.org/10.1038/nclimate3322	journal	June 2017
A Simplified Method for Determining Optimal Cooling Control Strategies for Thermal Storage in Building Mass Keeney, Kevin; Braun, James HVAC&R Research, Vol. 2, Issue 1 https://doi.org/10.1080/10789669.1996.10391333	journal	January 1996
Impact of the 2003 Heatwave on All-Cause Mortality in 9 French Cities Le Tertre, Alain; Lefranc, Agn??s; Eilstein, Daniel Epidemiology, Vol. 17, Issue 1 https://doi.org/10.1097/01.ede.0000187650.36636.1f	journal	January 2006
End-User Comfort Oriented Day-Ahead Planning for Responsive Residential HVAC Demand Aggregation Considering Weather Forecasts Erdinc, Ozan; Tascikaraoglu, Akin; Paterakis, Nikolaos G. IEEE Transactions on Smart Grid, Vol. 8, Issue 1 https://doi.org/10.1109/TSG.2016.2556619	journal	January 2017
More Intense, More Frequent, and Longer Lasting Heat Waves in the 21st Century Meehl, G. A. Science, Vol. 305, Issue 5686 https://doi.org/10.1126/science.1098704	journal	August 2004
Heat Stress and Public Health: A Critical Review Kovats, R. Sari; Hajat, Shakoor Annual Review of Public Health, Vol. 29, Issue 1 https://doi.org/10.1146/annurev.publhealth.29.020907.090843	journal	April 2008
The Nature and Impacts of the July 1999 Heat Wave in the Midwestern United States: Learning from the Lessons of 1995 Palecki, Michael A.; Changnon, Stanley A.; Kunkel, Kenneth E. Bulletin of the American Meteorological Society, Vol. 82, Issue 7 https://doi.org/10.1175/1520-0477(2001)082<1353:TNAIOT>2.3.CO;2	journal	July 2001
Heatwave Early Warning Systems and Adaptation Advice to Reduce Human Health Consequences of Heatwaves Lowe, Dianne; Ebi, Kristie L.; Forsberg, Bertil International Journal of Environmental Research and Public Health, Vol. 8, Issue 12 https://doi.org/10.3390/ijerph8124623	journal	December 2011

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Title: Investigation of pre-cooling as a recommended measure to improve residential buildings’ thermal resilience during heat waves

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