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A framework for assessing the current and future capability of mechanical night ventilation in the context of climate change
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building Engineering, Energy Systems and Sustainability Science, Energy Systems and Building Technology. Gavlefastigheter AB.ORCID iD: 0000-0001-9806-4456
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building Engineering, Energy Systems and Sustainability Science, Energy Systems and Building Technology.ORCID iD: 0000-0003-1832-9827
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building Engineering, Energy Systems and Sustainability Science, Energy Systems and Building Technology.ORCID iD: 0000-0001-9076-0801
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building Engineering, Energy Systems and Sustainability Science, Energy Systems and Building Technology.ORCID iD: 0000-0002-4007-3074
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2024 (English)In: Energy Reports, E-ISSN 2352-4847, Vol. 12, p. 4909-4925Article in journal (Refereed) Published
Abstract [en]

Night ventilation is a technique in which the indoor air and the building’s thermal mass is cooled down during nighttime to provide a heat sink available during the next day to help mitigating overheating and reducing the daytime space cooling demand. This paper proposes a framework on evaluating the use of mechanical night ventilation today and in the future. It considers analysis of the ventilative cooling system, including mechanical night ventilation, by means of key performance indicators that involve thermal comfort, energy use and resiliency criteria as suggested by IEA Annex 80. It, additionally, introduces an economic parameter in form of diurnal and nocturnal price ratio of electricity as economic trade-off between nighttime fan- and daytime fan and chiller use in terms of electricity. A historic office building in north-central Sweden is presented as a detailed case as to illustrate the use of the framework. The investigation was done using a validated model of the building in IDA-ICE building simulation program at both current climate and future climate in 2050s. It was revealed that an upgraded ventilative cooling system with three times larger capacity is required to fulfill thermal comfort. Even though mechanical night ventilation could result in the annual cooling source electricity saving intensity up to 0.9 kWh/(m²∙a) at extreme current climate (2018), it could just insignificantly reduce the total electricity use for space cooling (up to 2 %) and only at some night ventilation rates at all mentioned climates. Mechanical night ventilation, however, could be applied in an economically beneficial way if the electricity network has different nocturnal and diurnal electricity prices. A unitless index of maximum nighttime over daytime electricity price ratio was proposed representing the maximum tolerable price for nighttime electricity, given a daytime electricity price, based on night- and daytime ventilation electricity demand. For economically justified application of mechanical night ventilation, lower nighttime over daytime electricity price ratios were required for higher night ventilation rates. For the typical future climate with night ventilation rates larger than 2.6 ACH, it will be necessary to have nighttime prices that are lower than daytime if mechanical night ventilation is to be economical. The approach used in the framework can be applied to future research and practice, regardless of the case-specific parameters such as building type, climate zone, location, etc.

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 12, p. 4909-4925
Keywords [en]
Mechanical night ventilationFuture climate 2050sIDA indoor climate and energy simulation programNighttime/daytime electricity price ratioEconomic analysis
National Category
Energy Systems
Research subject
Sustainable Urban Development
Identifiers
URN: urn:nbn:se:hig:diva-45925DOI: 10.1016/j.egyr.2024.10.028Scopus ID: 2-s2.0-85208169369OAI: oai:DiVA.org:hig-45925DiVA, id: diva2:1911243
Funder
Knowledge Foundation, 20150133Available from: 2024-11-07 Created: 2024-11-07 Last updated: 2024-11-11Bibliographically approved

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Khosravi Bakhtiari, HosseinSayadi, SanaAkander, JanHayati, AbolfazlCehlin, Mathias

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