Analysis of the predicted effect of passive climate adaptation measures on energy demand for cooling and heating in a residential building

Hooff, van Taj Twan; Blocken, Bje Bert; Timmermans, Hjp Harry; Hensen, Jlm Jan

doi:10.1016/j.energy.2015.11.036

Cited by 108 publications

(68 citation statements)

References 47 publications

(56 reference statements)

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“…Analysing the literature on that topic, it was observed that generally the energy performance of buildings, aimed at the future projection of energy consumption was carried out using dynamic simulation. In many papers [6,9,16] the simulation was performed using leading software (e.g., TRNSYS, EnergyPlus); in other projects the simulation was performed by calculation procedures developed in-house, [7,[42][43][44] validating those outcomes by a direct comparison with the aforementioned tools.…”

Section: Methodsmentioning

confidence: 99%

“…Additionally, the building stock of three different large Swedish cities (i.e., Stockholm, Lund, and Gothenburg) were considered for carrying out the analysis. Thus, the authors in [9] investigated on the suitability of passive climate adaptation measures for reducing the building energy demand associated to both heating and cooling purposes in the residential sector. In that work, a representative terraced house in the Netherlands was used for all the assessments.…”

Section: Introductionmentioning

confidence: 99%

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How Climate Change Affects the Building Energy Consumptions Due to Cooling, Heating, and Electricity Demands of Italian Residential Sector

Mancini

Basso

2020

Energies

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Climate change affects the buildings’ performance, significantly influencing energy consumption, as well as the indoor thermal comfort. As a consequence, the growing outdoor environmental temperatures entail a slight reduction in heating consumption and an increase in cooling consumption, with different overall effects depending on the latitudes. This document focuses attention on the Italian residential sector, considering the current and reduced meteorological data, in anticipation of future climate scenarios. According to a sample of 419 buildings, referring to the climatic conditions of Milan, Florence, Rome, and Naples, the heating and cooling needs are calculated by a simplified dynamic model, in current and future conditions. The effects of the simplest climate adaptation measure, represented by the introduction of new air conditioners, have been also evaluated. The simulations results show an important reduction in complex energy consumption (Milan −6%, Florence −22%, Rome −25%, Naples −30%), due to the greater incidence of heating demand in the Italian context. However, the increase in air conditioning electrical consumption over the hot season (Milan +11%, Florence +20%, Rome +19%, Naples +16%) can play a critical role for the electrical system; for that reason, the introduction of photovoltaic arrays as a compensatory measure have been analysed.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How Climate Change Affects the Building Energy Consumptions Due to Cooling, Heating, and Electricity Demands of Italian Residential Sector

Mancini

Basso

2020

Energies

View full text Add to dashboard Cite

show abstract

“…Natural ventilation is one of the most effective passive strategies for improving efficiency and energy saving [33,34], since it requires no energy to operate. Gil-Baez et al [12] assessed the effectiveness of a cross natural ventilation system in a school in southern Spain.…”

Section: Introductionmentioning

confidence: 99%

Indoor Air Quality Assessment: Comparison of Ventilation Scenarios for Retrofitting Classrooms in a Hot Climate

2019

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Current energy efficiency policies in buildings foster the promotion of energy retrofitting of the existing stock. In southern Spain, the most extensive public sector is that of educational buildings, which is especially subject to significant internal loads due to high occupancy. A large fraction of the energy retrofit strategies conducted to date have focused on energy aspects and indoor thermal comfort, repeatedly disregarding indoor air quality criteria. This research assesses indoor air quality in a school located in the Mediterranean area, with the objective of promoting different ventilation scenarios, based on occupancy patterns and carbon dioxide levels monitored on site. Results show that manual ventilation cannot guarantee minimum indoor quality levels following current standards. A constant ventilation based on CO2 levels allows 15% more thermal comfort hours a year to be reached, compared to CO2-based optimized demand-controlled ventilation. Nevertheless, the latter ensures 35% annual energy savings, compared to a constant CO2-based ventilation, and 37% more annual energy savings over that of a constant ventilation rate of outdoor air per person.

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“…For highly-insulated buildings, heat (e.g. solar radiation through the windows) is trapped inside the building that, as opposed to the case of low-insulated buildings, cannot be transferred easily through the building envelope to the outside environment (van Hooff et al 2016). The accumulation of the heat is further enhanced with the increase of building dimensions, and consequently of the building compactness ratio decrease (Fig.…”

Section: Space Cooling Demandmentioning

confidence: 99%

Impact of exterior convective heat transfer coefficient models on the energy demand prediction of buildings with different geometry

et al. 2019

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Accurate models for exterior convective heat transfer coefficients (CHTC) are important for predicting building energy demand. A detailed review of the literature indicates that existing CHTC models take into account the impact of building geometry either incompletely, or not at all. To the best of our knowledge, research on the impact of exterior CHTC models on the predicted energy performance of buildings with different geometry has not yet been performed. This paper, therefore, investigates the influence of CHTC models on the calculated energy demand of buildings with varying geometry. Building energy simulations are performed for three groups: buildings with Hb (building height) > Wb (building width), buildings with Hb < Wb and buildings with Hb = Wb. Six commonly used CHTC models and a new generalized CHTC model are considered. The generalized CHTC model is expressed as a function of Hb and Wb. The simulations are performed for low and high thermal resistances of the building envelope. The results show that the different CHTC models provide significantly different predictions for the building energy demand. While for annual heating demand, deviations of −14.5% are found, for the annual cooling demand a maximum deviation of +42.0% is obtained, compared to the generalized CHTC model. This study underlines the need for the CHTC models to consider building geometry in their expressions, especially for high-rise buildings. For low-rise builgings, the observed deviations between the existing and the generalized CHTC model are less pronounced.

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Analysis of the predicted effect of passive climate adaptation measures on energy demand for cooling and heating in a residential building

Cited by 108 publications

References 47 publications

How Climate Change Affects the Building Energy Consumptions Due to Cooling, Heating, and Electricity Demands of Italian Residential Sector

How Climate Change Affects the Building Energy Consumptions Due to Cooling, Heating, and Electricity Demands of Italian Residential Sector

Indoor Air Quality Assessment: Comparison of Ventilation Scenarios for Retrofitting Classrooms in a Hot Climate

Impact of exterior convective heat transfer coefficient models on the energy demand prediction of buildings with different geometry

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