scholarly journals Assessment of the Impact of Occupants’ Behavior and Climate Change on Heating and Cooling Energy Needs of Buildings

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6468
Author(s):  
Gianmarco Fajilla ◽  
Marilena De Simone ◽  
Luisa F. Cabeza ◽  
Luís Bragança
Keyword(s):  
Climate Change ◽  
Natural Ventilation ◽  
Residential Buildings ◽  
Energy Performance ◽  
Future Scenarios ◽  
Occupant Behavior ◽  
Heating And Cooling ◽  
Energy Needs ◽  
Energy Simulations ◽  
The Impact

Energy performance of buildings is a worldwide increasing investigated field, due to ever more stringent energy standards aimed at reducing the buildings’ impact on the environment. The purpose of this paper is to assess the impact that occupant behavior and climate change have on the heating and cooling needs of residential buildings. With this aim, data of a questionnaire survey delivered in Southern Italy were used to obtain daily use profiles of natural ventilation, heating, and cooling, both in winter and in summer. Three climatic scenarios were investigated: The current scenario (2020), and two future scenarios (2050 and 2080). The CCWorldWeatherGen tool was used to create the weather files of future climate scenarios, and DesignBuilder was applied to conduct dynamic energy simulations. Firstly, the results obtained for 2020 demonstrated how the occupants’ preferences related to the use of natural ventilation, heating, and cooling systems (daily schedules and temperature setpoints) impact on energy needs. Heating energy needs appeared more affected by the heating schedules, while cooling energy needs were mostly influenced by both natural ventilation and usage schedules. Secondly, due to the temperature rise, substantial decrements of the energy needs for heating and increments of cooling energy needs were observed in all the future scenarios where in addition, the impact of occupant behavior appeared amplified.

scholarly journals Hybridization of Heat Pump Systems With Natural Ventilation To Improve Energy Efficiency in Cooling Dominated Buildings

2021 ◽  
Vol 6 ◽  
pp. 33
Author(s):  
Nuno R. Martins ◽  
Peter J. Bourne-Webb
Keyword(s):  
Heat Pump ◽  
Natural Ventilation ◽  
Energy Performance ◽  
Ground Temperature ◽  
Improve Energy Efficiency ◽  
Final Energy ◽  
Heating And Cooling ◽  
Energy Needs ◽  
Energy Simulations ◽  
Cooling Loads

Building foundation piles can be used as heat exchangers in ground-source heat pump (GSHP) systems to provide highly efficient renewable heating and cooling (H&C). Unbalanced H&C loads lead to heat build-up in the ground, decreasing the system's overall performance. In this study, the introduction of natural ventilation (NV) has been examined to decrease cooling load imbalance in cooling-dominated buildings to improve system efficiency. Building energy simulations estimated the H&C loads for an office building in three Portuguese cities: Lisbon, Porto and Faro, yielding heating loads of 0.2–3.6 MWh/year and cooling loads of 260–450 MWh/year. Four renewable H&C technology scenarios were used to assess energy performance: (1) an air-source heat pump (ASHP) system; (2) a GSHP system utilizing energy piles; (3) hybrid ASHP-NV and (4) hybrid GSHP-NV. Over 50 years of operation, in Scenario (1) COP values of 2.45–2.55 (heating) and 3.62–4.15 (cooling) were obtained. In (2), COP values increased to 4.15–4.34 (heating) but fell to 3.36–3.79 (cooling), which increased annual final energy needs by 7–8%. Unbalanced cooling loads increased the ground temperature by 21–24 °C, which is unlikely to be acceptable. Compared to (1), introducing NV reduced cooling loads by 65–90% in Scenarios (3) and (4), with the final energy needs decreasing by 59–80% and 62–88%, respectively. A further benefit of the GSHP-NV hybrid is that the ground temperature increase was limited to 8‑12 °C. For cooling, the COP in (3) decreased compared to (1) (3.14–3.69), while in (4), COP improved to 3.45–6.10. This study concludes that hybrid GSHP-NV systems should be considered in some cooling-dominated scenarios.

scholarly journals AI-Based Campus Energy Use Prediction for Assessing the Effects of Climate Change

2020 ◽  
Vol 12 (8) ◽  
pp. 3223 ◽  
Author(s):  
Soheil Fathi ◽  
Ravi S. Srinivasan ◽  
Charles J. Kibert ◽  
Ruth L. Steiner ◽  
Emre Demirezen
Keyword(s):  
Climate Change ◽  
Energy Use ◽  
Regional Climate ◽  
Regional Climate Change ◽  
Developed Countries ◽  
Energy Performance ◽  
Energy Needs ◽  
Energy Use Prediction ◽  
Campus Energy ◽  
The Impact

In developed countries, buildings are involved in almost 50% of total energy use and 30% of global annual greenhouse gas emissions. The operational energy needs of buildings are highly dependent on various building physical, operational, and functional characteristics, as well as meteorological and temporal properties. Besides physics-based energy modeling of buildings, Artificial Intelligence (AI) has the capability to provide faster and higher accuracy estimates, given buildings’ historic energy consumption data. Looking beyond individual building levels, forecasting building energy performance can help city and community managers have a better understanding of their future energy needs, and to plan for satisfying them more efficiently. Focusing at an urban scale, this research develops a campus energy use prediction tool for predicting the effects of long-term climate change on the energy performance of buildings using AI techniques. The tool comprises four steps: Data Collection, AI Development, Model Validation, and Model Implementation, and can predict the energy use of campus buildings with 90% accuracy. We have relied on energy use data of buildings situated in the University of Florida, Gainesville, Florida (FL). To study the impact of climate change, we have used climate properties of three future weather files of Gainesville, FL, developed by the North American Regional Climate Change Assessment Program (NARCCAP), represented based on their impact: median (year 2063), hottest (2057), and coldest (2041).

Impact of Shape on Building Energy Use in Tunisia

Solar Energy ◽  
2006 ◽  
Author(s):  
Kais Ouertani ◽  
Moncef Krarti
Keyword(s):  
Energy Use ◽  
Residential Buildings ◽  
Energy Performance ◽  
Analysis Tool ◽  
Architectural Form ◽  
Relative Compactness ◽  
Building Shape ◽  
Heating And Cooling ◽  
Building Form ◽  
The Impact

This paper investigates the impact of the architectural form on the energy performance of residential buildings in Tunisia. A relative compactness is defined as one indicator of a building shape. The results of the analysis indicate that a significant decrease in heating and cooling energy requirements can be obtained by minimizing the relative compactness of detached residential houses. A simplified analysis tool, suitable for early design process, is developed to assess the impact of building form on its energy performance for several cities in Tunisia.

scholarly journals Climate Change Scenarios and Their Implications on the Energy Performance of Hellenic Non-Residential Buildings

2021 ◽  
Vol 13 (23) ◽  
pp. 13005
Author(s):  
Kalliopi G. Droutsa ◽  
Simon Kontoyiannidis ◽  
Constantinos A. Balaras ◽  
Athanassios A. Argiriou ◽  
Elena G. Dascalaki ◽  
...  
Keyword(s):  
Climate Change ◽  
Energy Use ◽  
Residential Buildings ◽  
Energy Performance ◽  
Climate Change Scenarios ◽  
Baseline Scenario ◽  
Climate Data ◽  
Building Stock ◽  
Heating And Cooling ◽  
The Future

It is important to understand how the climate is changing in order to prepare for the future, adapt if necessary, and, most importantly, take proper precautionary measures to alleviate major negative impacts. This work investigates the potential impacts of climate change on the anticipated energy performance of the existing Hellenic building stock until the end of the century. The assessment considers average climatic projections for two future time periods, one for the near and one for the distant future, following two representative concentration pathways (RCPs). The first one is a baseline scenario (RCP8.5) representing the highest greenhouse gas emissions. The second is an intermediate stabilization scenario (RCP4.5), assuming the imposition of conservative emissions mitigation policies. The future climate data are generated for 62 cities throughout Greece. As a case study, the work focuses on Hellenic non-residential (NR) whole buildings, analyzing available data collected during about 2500 energy audits of real NR buildings. The available data are used to assess the buildings’ heating and cooling demand and energy use. The annual average air temperature for Greece in 2050 is projected to increase by 1.5 K for the RCP4.5 scenario and by 1.9 K for the RCP8.5 scenario. In 2090, the increase is estimated to reach 1.7 K and 4.2 K, respectively. Accordingly, if the existing NR buildings are not renovated, the average heating energy use is expected to decrease by 22–26% in 2050 and by 23–52% in 2090. On the other hand, the average cooling energy use is expected to increase by 24–30% in 2050 and by 28–66% in 2090.

scholarly journals Evaluation of the energy performance of Zero Energy residential Buildings: complexity of dynamic simulations and results variability

2021 ◽  
Vol 312 ◽  
pp. 06002
Author(s):  
Silvia Di Turi ◽  
Ilaria Falcone ◽  
Iole Nardi ◽  
Laura Ronchetti ◽  
Nicolandrea Calabrese
Keyword(s):  
Natural Ventilation ◽  
Residential Buildings ◽  
Residential Building ◽  
Energy Performance ◽  
Climatic Data ◽  
Zero Energy ◽  
Dynamic Simulations ◽  
Zero Energy Building ◽  
Energy Needs ◽  
Definition Of

Due to its energy and environmental impact, the building sector has become a challenging field in order to fulfil the need for energy renovation and obtain low-consumption buildings. The main issue, for those who approach the feasible design of a Zero Energy Building (ZEB), is to assess, in the most realistic way possible, the thermal and energy needs and the energy production of the building, properly considering all the possible variables. Through the analysis of a newly built residential building case study, this work aims at showing the complexity of the ZEB design, analysing the energy performance as the design choices vary. After characterizing envelope and systems components, potential variations in the model are highlighted by applying a set of updated climatic data, varying occupancy, shading systems and natural ventilation functioning, often neglected. It leads to a wide and differentiated range of results, consequently influenced by the design phase. The work aims at providing, in the definition of the energy performance of the building, an evaluation of the variations obtained from the variables analysed that in the modelling phase are normally considered as a boundary but which instead play a key role for achieving the ZEB objective.

scholarly journals Climate change and building technologies: investigations of future weather scenarios on building energy performance

2019 ◽  
Vol 111 ◽  
pp. 01074
Author(s):  
Daniel Kierdorf ◽  
Jakob Hahn ◽  
Werner Lang
Keyword(s):  
Climate Change ◽  
Climate Model ◽  
Building Design ◽  
Energy Performance ◽  
Sensitivity Analyses ◽  
Sustainable Building ◽  
Heating And Cooling ◽  
Building Systems ◽  
Building Services Engineering ◽  
The Impact

This paper aims to investigate the impact of future climate on building systems, taking account of a strict building standard. A building is modelled in TRNSYS regarding a sustainable heating and cooling energy production by solar heating and radiative cooling in combination with water storage tanks. Sensitivity analyses (Morris Method) are performed for the technical building configurations for the years 2030, 2050 and 2100 (REMO climate model). They are compared and evaluated with the current reference climate (TRY) of 2017. The objective is to show which components have a significant influence on the energy consumption of buildings. Furthermore, due to the climate change sustainable building technologies are necessary. This paper demonstrates how the influence of the climate can be counteracted from the perspective of building services. Global warming requires a rethink of the interaction between building design, building technologies and climate. In this point building services engineering offers the most flexibility. By performing parameter studies, early knowledge about the building and its required technology can be gained. The target value of this study is the indoor air temperature as a function of the outdoor temperature. The objective function corresponds to specifications according to the European standard EN 15251. Following the parameter studies, optimization processes are carried out.

scholarly journals Heating and Cooling Degree-Days Climate Change Projections for Portugal

Atmosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 715
Author(s):  
Cristina Andrade ◽  
Sandra Mourato ◽  
João Ramos
Keyword(s):  
Climate Change ◽  
High Resolution ◽  
Thermal Comfort ◽  
Energy Demand ◽  
Residential Buildings ◽  
Degree Days ◽  
Climate Change Projections ◽  
Heating And Cooling ◽  
Cooling Degree Days ◽  
Heating Energy Demand

Climate change is expected to influence cooling and heating energy demand of residential buildings and affect overall thermal comfort. Towards this end, the heating (HDD) and cooling (CDD) degree-days along with HDD + CDD were computed from an ensemble of seven high-resolution bias-corrected simulations attained from EURO-CORDEX under two Representative Concentration Pathways (RCP4.5 and RCP8.5). These three indicators were analyzed for 1971–2000 (from E-OBS) and 2011–2040, and 2041–2070, under both RCPs. Results predict a decrease in HDDs most significant under RCP8.5. Conversely, it is projected an increase of CDD values for both scenarios. The decrease in HDDs is projected to be higher than the increase in CDDs hinting to an increase in the energy demand to cool internal environments in Portugal. Statistically significant linear CDD trends were only found for 2041–2070 under RCP4.5. Towards 2070, higher(lower) CDD (HDD and HDD + CDD) anomaly amplitudes are depicted, mainly under RCP8.5. Within the five NUTS II

scholarly journals Evaluation of Urban-Scale Building Energy-Use Models and Tools—Application for the City of Fribourg, Switzerland

2021 ◽  
Vol 13 (4) ◽  
pp. 1595
Author(s):  
Valeria Todeschi ◽  
Roberto Boghetti ◽  
Jérôme H. Kämpf ◽  
Guglielmina Mutani
Keyword(s):  
Machine Learning ◽  
Energy Use ◽  
Residential Buildings ◽  
Building Energy ◽  
Energy Performance ◽  
Space Heating ◽  
Engineering Model ◽  
Building Energy Use ◽  
The Impact ◽  
The City

Building energy-use models and tools can simulate and represent the distribution of energy consumption of buildings located in an urban area. The aim of these models is to simulate the energy performance of buildings at multiple temporal and spatial scales, taking into account both the building shape and the surrounding urban context. This paper investigates existing models by simulating the hourly space heating consumption of residential buildings in an urban environment. Existing bottom-up urban-energy models were applied to the city of Fribourg in order to evaluate the accuracy and flexibility of energy simulations. Two common energy-use models—a machine learning model and a GIS-based engineering model—were compared and evaluated against anonymized monitoring data. The study shows that the simulations were quite precise with an annual mean absolute percentage error of 12.8 and 19.3% for the machine learning and the GIS-based engineering model, respectively, on residential buildings built in different periods of construction. Moreover, a sensitivity analysis using the Morris method was carried out on the GIS-based engineering model in order to assess the impact of input variables on space heating consumption and to identify possible optimization opportunities of the existing model.

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