Influence of the Improvement in Thermal Expectation Levels with Adaptive Setpoint Temperatures on Energy Consumption

A sustainable use of active heating, ventilation, and air conditioning (HVAC) systems is crucial for minimum energy consumption. Currently, research studies are increasingly applying adaptive setpoint temperatures, thus reducing considerably the energy consumption without influencing comfort levels excessively. Most of them, however, are focused on the limit values of adaptive comfort standards without considering the tolerance in users’ adaptation capacity. This research study analyzed various tolerance ranges in the recent adaptive thermal comfort model from EN 16798-1:2019 used in setpoint temperatures. The study focused on the south of Europe, considering 47 cities in Spain, 18 cities in Portugal, 13 cities in Greece, and 20 cities in Italy. In addition, such cities were analyzed in three climate scenarios: present time, 2050, and 2100. The results showed that values prefixed by EN 16798-1:2019 for new buildings (tolerance of 0.00 °C) produced significant savings with respect to the static model and that each progressive improvement in users’ thermal expectations in 0.25 °C increased the energy consumption between 6.57 and 9.31% in all scenarios analyzed. Even applying a thermal tolerance of 1.50 °C, energy savings are currently produced with respect to the static model. This tendency increases in future scenarios until a thermal tolerance of 1.75 °C. The results of this paper provide greater knowledge about the possible energy increase that the improvement in users’ expectations would produc

Applying the mixed-mode with an adaptive approach to reduce the energy poverty in social dwellings: The case of Spain

Fuel poverty is a pressing issue in several European countries, and Spain is no exception. Traditionally, it has been associated with cold conditions, but recent studies in the field have stressed its prevalence in warm countries too, during summer. Further, forecasts of climate change for these territories predict more severe summers. This envisages a scenario where low-income families might suffer from fuel poverty due to their inability to afford the energy bill to cool their homes, for tackling which the European Union and its member states are devising strategies. Adaptive comfort models have emerged as a sustainable and resilient approach in this regard. This study aims at clarifying how a change in the behavioural patterns of users, following the adaptive model might reduce the incidence of fuel poverty, compared to the static model based solely on active cooling. For this purpose, a common typology of social dwelling has been simulated in 10 cities representative of the diverse climates of Spain; both the current and future climate change scenarios have been considered. Results indicate that the mixed-mode is effective in alleviating fuel poverty not only in the present scenario, but also in 2050 and 2100, except for the most underprivileged households earning less than 500 € per month. The outcomes of this study will be of use to policy makers, designers, and stakeholders in targeting families in need for specific subsidies to afford a comfortable environment during summer.Fuel poverty is a pressing issue in several European countries, and Spain is no exception. Traditionally, it has been associated with cold conditions, but recent studies in the field have stressed its prevalence in warm countries too, during summer. Further, forecasts of climate change for these territories predict more severe summers. This envisages a scenario where low-income families might suffer from fuel poverty due to their inability to afford the energy bill to cool their homes, for tackling which the European Union and its member states are devising strategies. Adaptive comfort models have emerged as a sustainable and resilient approach in this regard. This study aims at clarifying how a change in the behavioural patterns of users, following the adaptive model might reduce the incidence of fuel poverty, compared to the static model based solely on active cooling. For this purpose, a common typology of social dwelling has been simulated in 10 cities representative of the diverse climates of Spain; both the current and future climate change scenarios have been considered. Results indicate that the mixed-mode is effective in alleviating fuel poverty not only in the present scenario, but also in 2050 and 2100, except for the most underprivileged households earning less than 500 € per month. The outcomes of this study will be of use to policy makers, designers, and stakeholders in targeting families in need for specific subsidies to afford a comfortable environment during summer

Energy saving potential in current and future world built environments based on the adaptive comfort approach

The building sector is among the main energy users in the world, and its consumption patterns are strongly affected by changes in climate conditions. The consumption prediction in future scenarios is one of the greatest challenges. The application of recent techniques, such as adaptive thermal comfort strategies, constitutes an opportunity to reduce energy consumption. This study aims at clarifying their worldwide application potential in two scenarios, current and 2050, linking it to predictions on world population distribution and on the development level of countries. By interpolating 15,897 meteorological database, worldwide maps were made to quantify the applicability of the model and to show that such applicability would largely benefit both developing countries and most world population. © 2019 Elsevier Lt

Analysis of energy consumption in different European cities: The adaptive comfort control implemented model (ACCIM) considering representative concentration pathways (RCP) scenarios

Reports of Intergovernmental Panel on Climate Change have set various greenhouse gas emissions scenarios, through which the evolution of the temperature of the planet can be estimated throughout the 21st century. The reduction of the emissions from the different activities carried out by mankind is crucial to mitigate greenhouse gas emissions. One of the most significant activities is users' behaviour within buildings, particularly the use of Heating, Ventilation and Air-Conditioning systems. Modifying users' behaviour patterns to guarantee acceptable thermal conditions inside buildings could lead to considerable energy saving percentages, and adaptive thermal comfort models could be an opportunity to achieve important savings. For this reason, this study analyzes the potential to apply adaptive thermal comfort models to use artificial air-conditioning systems by modifying setpoint temperatures. The analysis was conducted in five major European cities (Barcelona, Berlin, Bern, Rome, and Vienna) and in five climate change scenarios in the year 2050. The results showed that, in general, the energy saving achieved by adaptive strategies was larger in the cities with a greater cooling demand. Also, in both Representative Concentration Pathways (RCP) of the Fifth Assessment Report (AR5) considered, the energy saving were decreased in the cities of Barcelona and Rome, with values lower than those of the Fourth Assessment Report (AR4) scenarios considered, whereas in the cities of Berlin, Bern, and Vienna, the saving in the RCP scenarios is greater than those in the other scenarios. © 2020 by the authors

Adaptive Comfort Models Applied to Existing Dwellings in Mediterranean Climate Considering Global Warming

Comfort analysis of existing naturally ventilated buildings located in mild climates, such as the ones in the Mediterranean zones, offer room for a reduction in the present and future energy consumption. Regarding Spain, most of the present building stock was built before energy standards were mandatory, let alone considerations about global warming or adaptive comfort. In this context, this research aims at assessing adaptive thermal comfort of inhabitants of extant apartments building in the South of Spain per EN 15251:2007 and ASHRAE 55-2013. The case study is statistically representative housing built in 1973. On-site monitoring of comfort conditions and computer simulations for present conditions have been carried out, clarifying the degree of adaptive comfort at present time. After that, additional simulations for 2020, 2050, and 2080 are performed to check whether this dwelling will be able to provide comfort considering a change in climate conditions. As a result, the study concludes that levels of adaptive comfort can be considered satisfactory at present time in these dwellings, but not in the future, when discomfort associated with hot conditions will be recurrent. These results provide a hint to foresee how extant dwellings, and also dwellers, should adapt to a change in environmental conditions