Robustness of energy consumption and comfort in high-performance residential building with respect to occupant behavior

Energy ◽  
2019 ◽  
Vol 188 ◽  
pp. 115978 ◽  
Author(s):  
Jean Rouleau ◽  
Louis Gosselin ◽  
Pierre Blanchet
Keyword(s):  
Energy Consumption ◽  
High Performance ◽  
Residential Building ◽  
Occupant Behavior

scholarly journals Sustainable Requalification: Hemp, Raw Earth, Sun, and Wind for Energy Strategies in a Case Study in Naples, Italy

2019 ◽  
Vol 11 (21) ◽  
pp. 6150
Author(s):  
Gigliola Ausiello ◽  
Luca Di Girolamo ◽  
Antonio Marano
Keyword(s):  
Energy Consumption ◽  
High Performance ◽  
Natural Ventilation ◽  
Energy Savings ◽  
Residential Building ◽  
Well Being ◽  
Added Value ◽  
Natural Materials ◽  
Green Approach

This paper highlights the development of strategies using a green approach that can be adopted to manage interventions to promote energy efficiency. It focuses on the result of a case study carried out on an existing residential building located in Naples, Italy. The green methodology adopted in this study met the needs and requests of the building owner, who asked for natural materials. We assessed the possibility of maximizing achievable thermal energy savings and hygrometric behavior, starting from the climatic characteristics. The first step was to evaluate the aspects related to sunshine, thermal inputs, natural lighting, and natural ventilation, and prevailing winds. Subsequently, the casing was redesigned with the aim of minimizing energy consumption by using natural materials. Such materials added value to the project by combining high performance and considerations of the residents’ health. The objective here was to identify strategies for the well-being of residents both in winter and summer, by reducing energy consumption and installation management costs as well as increasing livability.

scholarly journals Building energy simulations for different building types equipped with a high performance thermochromic smart window

2021 ◽  
Vol 855 (1) ◽  
pp. 012001
Author(s):  
D Mann ◽  
C Yeung ◽  
R Habets ◽  
Z Vroon ◽  
P Buskens
Keyword(s):  
Energy Consumption ◽  
Annual Cost ◽  
High Performance ◽  
Energy Savings ◽  
Cost Savings ◽  
Residential Building ◽  
Building Energy ◽  
Smart Window ◽  
Smart Windows ◽  
The Impact

Abstract With constantly progressing climate change and global warming, we face the challenge to reduce our energy consumption and CO2 emission. To increase the energy-efficiency in buildings, we developed a thermochromic coating for smart windows which is optimized for intermediate climates. Here we present a building energy simulation study for the use of our smart window in the four main residential building types in the Netherlands. In the study we show that for all building types energy savings between 15-30% can be achieved. Hereby the impact of the windows on energy consumption is dependent on the window surface area as well as the total floor space. Furthermore we show that by the use of our new smart window, where the thermochromic coating is combined with a standard low-e coating, annual cost savings for energy between 220-445 € for a single household can be achieved. The thermochromic coating usually accounts for half of these cost savings, that is an addition in cost savings between 6-7.5 €/m2 glass. Due to the low material and processing costs for the thermochromic coating, a return on invest within 7 years should be feasible with these annual cost savings.

scholarly journals The Relations Between Green Building Concept and Pro-Environmental Behavior in Vertical Housing

2019 ◽  
Author(s):  
Dewi Rachmaniatus Syahriyah ◽  
Panji Aryacitra Bhaskara
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Correlation Analysis ◽  
Environmental Degradation ◽  
Negative Impact ◽  
Environmental Behavior ◽  
Residential Building ◽  
Green Building ◽  
Occupant Behavior ◽  
Site Development

Residential building in a post-occupation phase and building operations consume large amounts of energy and cause environmental degradation. To reduce the negative impact of energy consumption in residential building, green concept through occupant behavior (pro-environment behavior) is useful. Implementation of green concepts on buildings is expected to trigger the emergence of pro-environmental behavior. This study aims to analyze the correlation of green values in a residential building with the value of pro-environmental behavior, especially on student vertical housing. Based on purposive sampling (non-random/non-probability sampling), correlation analysis shows that the concept of green building has a high correlation with a significant value of <0.05 towards pro-environmental behavior. The application of the green concept in improving pro-environmental behavior can be made by considering three priority categories, namely the site development, energy efficiency, and the use of materials.

scholarly journals Ensemble Prediction Approach Based on Learning to Statistical Model for Efficient Building Energy Consumption Management

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 405
Author(s):  
Anam Nawaz Khan ◽  
Naeem Iqbal ◽  
Rashid Ahmad ◽  
Do-Hyeun Kim
Keyword(s):  
Energy Consumption ◽  
Statistical Model ◽  
Residential Buildings ◽  
Residential Building ◽  
Experimental Results ◽  
Consumption Patterns ◽  
Ensemble Prediction ◽  
Short Term ◽  
Term Energy ◽  
Prediction Approach

With the development of modern power systems (smart grid), energy consumption prediction becomes an essential aspect of resource planning and operations. In the last few decades, industrial and commercial buildings have thoroughly been investigated for consumption patterns. However, due to the unavailability of data, the residential buildings could not get much attention. During the last few years, many solutions have been devised for predicting electric consumption; however, it remains a challenging task due to the dynamic nature of residential consumption patterns. Therefore, a more robust solution is required to improve the model performance and achieve a better prediction accuracy. This paper presents an ensemble approach based on learning to a statistical model to predict the short-term energy consumption of a multifamily residential building. Our proposed approach utilizes Long Short-Term Memory (LSTM) and Kalman Filter (KF) to build an ensemble prediction model to predict short term energy demands of multifamily residential buildings. The proposed approach uses real energy data acquired from the multifamily residential building, South Korea. Different statistical measures are used, such as mean absolute error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE), and R2 score, to evaluate the performance of the proposed approach and compare it with existing models. The experimental results reveal that the proposed approach predicts accurately and outperforms the existing models. Furthermore, a comparative analysis is performed to evaluate and compare the proposed model with conventional machine learning models. The experimental results show the effectiveness and significance of the proposed approach compared to existing energy prediction models. The proposed approach will support energy management to effectively plan and manage the energy supply and demands of multifamily residential buildings.

scholarly journals Towards Sustainable Energy Retrofitting, a Simulation for Potential Energy Use Reduction in Residential Buildings in Palestine

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3876
Author(s):  
Sameh Monna ◽  
Adel Juaidi ◽  
Ramez Abdallah ◽  
Aiman Albatayneh ◽  
Patrick Dutournie ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Energy Savings ◽  
Residential Buildings ◽  
Residential Building ◽  
Simulation Models ◽  
Water Heating ◽  
Heating And Cooling ◽  
Space Cooling ◽  
Cooling Loads

Since buildings are one of the major contributors to global warming, efforts should be intensified to make them more energy-efficient, particularly existing buildings. This research intends to analyze the energy savings from a suggested retrofitting program using energy simulation for typical existing residential buildings. For the assessment of the energy retrofitting program using computer simulation, the most commonly utilized residential building types were selected. The energy consumption of those selected residential buildings was assessed, and a baseline for evaluating energy retrofitting was established. Three levels of retrofitting programs were implemented. These levels were ordered by cost, with the first level being the least costly and the third level is the most expensive. The simulation models were created for two different types of buildings in three different climatic zones in Palestine. The findings suggest that water heating, space heating, space cooling, and electric lighting are the highest energy consumers in ordinary houses. Level one measures resulted in a 19–24 percent decrease in energy consumption due to reduced heating and cooling loads. The use of a combination of levels one and two resulted in a decrease of energy consumption for heating, cooling, and lighting by 50–57%. The use of the three levels resulted in a decrease of 71–80% in total energy usage for heating, cooling, lighting, water heating, and air conditioning.

The impacts of occupant behavior on building energy consumption: A review

2021 ◽  
Vol 45 ◽  
pp. 101212
Author(s):  
Shuo Chen ◽  
Guomin Zhang ◽  
Xiaobo Xia ◽  
Yixing Chen ◽  
Sujeeva Setunge ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Building Energy ◽  
Occupant Behavior ◽  
Building Energy Consumption

scholarly journals Energy Saving Quantitative Analysis of Passive, Active, and Renewable Technologies in Different Climate Zones

2021 ◽  
Vol 11 (15) ◽  
pp. 7115
Author(s):  
Chul-Ho Kim ◽  
Min-Kyeong Park ◽  
Won-Hee Kang
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Energy Saving ◽  
High Performance ◽  
Energy Systems ◽  
Outdoor Air ◽  
Climate Zones ◽  
Renewable Energy Systems ◽  
Active Systems ◽  
High Performance Buildings

The purpose of this study was to provide a guideline for the selection of technologies suitable for ASHRAE international climate zones when designing high-performance buildings. In this study, high-performance technologies were grouped as passive, active, and renewable energy systems. Energy saving technologies comprising 15 cases were categorized into passive, active, and renewable energy systems. EnergyPlus v9.5.0 was used to analyze the contribution of each technology in reducing the primary energy consumption. The energy consumption of each system was analyzed in different climates (Incheon, New Delhi, Minneapolis, Berlin), and the detailed contributions to saving energy were evaluated. Even when the same technology is applied, the energy saving rate differs according to the climatic characteristics. Shading systems are passive systems that are more effective in hot regions. In addition, the variable air volume (VAV) system, combined VAV–energy recovery ventilation (ERV), and combined VAV–underfloor air distribution (UFAD) are active systems that can convert hot and humid outdoor temperatures to create comfortable indoor environments. In cold and cool regions, passive systems that prevent heat loss, such as high-R insulation walls and windows, are effective. Active systems that utilize outdoor air or ventilation include the combined VAV-economizer, the active chilled beam with dedicated outdoor air system (DOAS), and the combined VAV-ERV. For renewable energy systems, the ground source heat pump (GSHP) is more effective. Selecting energy saving technologies that are suitable for the surrounding environment, and selecting design strategies that are appropriate for a given climate, are very important for the design of high-performance buildings globally.

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