Prediction and optimization of heating and cooling loads in a residential building based on multi-layer perceptron neural network and different optimization algorithms

Energy ◽  
2021 ◽  
pp. 122692
Author(s):  
Yuanjin Xu ◽  
Fei Li ◽  
Armin Asgari
Keyword(s):  
Neural Network ◽  
Optimization Algorithms ◽  
Residential Building ◽  
Multi Layer Perceptron ◽  
Heating And Cooling ◽  
Cooling Loads

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.

Prediction and Analysis of Building Energy Efficiency Using Artificial Neural Network and Design of Experiments

2016 ◽  
Vol 819 ◽  
pp. 541-545 ◽  
Author(s):  
Sholahudin ◽  
Azimil Gani Alam ◽  
Chang In Baek ◽  
Hwataik Han
Keyword(s):  
Neural Network ◽  
Energy Efficient ◽  
Residential Buildings ◽  
Building Energy ◽  
Cooling Load ◽  
Simulation Data ◽  
Heating And Cooling ◽  
Heating Load ◽  
Input Variables ◽  
Cooling Loads

Energy consumption of buildings is increasing steadily and occupying approximately 30-40% of total energy use. It is important to predict heating and cooling loads of a building in the initial stage of design to find out optimal solutions among various design options, as well as in the operating stage after the building has been completed for energy efficient operation. In this paper, an artificial neural network model has been developed to predict heating and cooling loads of a building based on simulation data for building energy performance. The input variables include relative compactness, surface area, wall area, roof area, overall height, orientation, glazing area, and glazing area distribution of a building, and the output variables include heating load (HL) and cooling load (CL) of the building. The simulation data used for training are the data published in the literature for various 768 residential buildings. ANNs have a merit in estimating output values for given input values satisfactorily, but it has a limitation in acquiring the effects of input variables individually. In order to analyze the effects of the variables, we used a method for design of experiment and conducted ANOVA analysis. The sensitivities of individual variables have been investigated and the most energy efficient solution has been estimated under given conditions. Discussions are included in the paper regarding the variables affecting heating load and cooling load significantly and the effects on heating and cooling loads of residential buildings.

Designing a mediator space and the study of its effect on the energy consumption of a residential building using EnergyPlus software in Savadkuh, Iran

2019 ◽  
Vol 17 (4) ◽  
pp. 833-846
Author(s):  
Yasaman Yousefi ◽  
Mehdi Jahangiri ◽  
Akbar Alidadi Shamsabadi ◽  
Afshin Raeesi Dehkordi
Keyword(s):  
Energy Consumption ◽  
Design Methodology ◽  
Residential Building ◽  
Environmental Costs ◽  
Content Type ◽  
Design And Implementation ◽  
Heating And Cooling ◽  
Energy Simulations ◽  
Cooling Loads ◽  
Reducing Energy

Purpose Reducing energy consumption of a building may have a significant effect on the energy and environmental costs. Nowadays, energy simulations have come to the aid of engineers in the design and implementation of buildings with a perspective on energy consumption. Design/methodology/approach In the current study, the suggested volume of a residential building in the Savadkuh City, Iran, is modeled using Ecotect® software, and the amount of radiation on the sides during various months of the year is studied. Then, using EnergyPlus™ software, climate analyses are performed on the suggested design, and finally, the amount of heating and cooling loads of the building are examined under two difference scenarios of mediator space. Findings Results indicated that nearly at all times of the year, both the heating and cooling loads were reduced in the scenario where mediator space had two functions, i.e. as greenhouse and as a space for higher ventilation, compared to the scenario where mediator space did not have a climate role and merely served as an entrance and passageway with rigid dividers. Originality/value Nowadays, energy simulations have come to the aid of engineers in the design and implementation of buildings with a perspective on energy consumption. Therefore, in the current study, the suggested volume of a residential building in the Savadkuh City, Iran, is modeled using Ecotect® software, and the amount of radiation on the sides during various months of the year is studied. Then, using EnergyPlus™ software, climate analyses are performed on the suggested design, and finally, the amount of heating and cooling loads of the building are examined under two difference scenarios of mediator space.

ENERGY EFFICIENT IMPROVEMENT OF HISTORIC BUILDINGS: A CASE STUDY IN SINOP

2021 ◽  
Vol 8 (18) ◽  
pp. 11-25
Author(s):  
Gökhan GENÇ ◽  
Figen BEYHAN
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
State Energy ◽  
Residential Building ◽  
Maximum Energy ◽  
Historical Buildings ◽  
Heating And Cooling ◽  
Physical Effects ◽  
Cooling Loads

Although historical buildings are ecological with their construction systems and materials, they cannot provide necessary performance in today's comfort conditions and therefore they are abandoned and remain in a damaged or dysfunctional state. Energy efficient improvement works are carried out in historical buildings in order to bring the historical buildings today's conditions, re-use and ensure their sustainability. However, there are many limitations in these studies due to the heritage characteristics of historical buildings. With these limitations, the works to be done should be carried out with the least intervention without damaging the heritage values of the historical buildings. For this reason, it is necessary to specially select the applications to be realized within the scope of energy efficiency in historical buildings and scaling the physical effects of the applications relative to each other. In this context, in this study, it is aimed to reveal the appropriate improvement methods in order to reach the maximum energy efficiency with the least physical intervention, with the techniques suitable for the historical texture by preserving the original qualities in the historical buildings. Based on the Historic England intervention evaluation scale developed in this framework, 5 scenarios, including the current situation and 4 different design scenarios, including interventions from small to large impacts, were created on a sample historical residential building, and the data of each scenario in terms of energy consumption were obtained. Models created within the framework of the scenarios were evaluated with the Design Builder simulation program, and annual heating and cooling loads and the amount of energy consumed per total m² were obtained. Evaluations were made by comparing the energy efficiency of applications at different degrees with the graphics and tables prepared in the light of these data. As a result, suggestions have been developed regarding the interventions to be made to historical buildings according to the intervention effect sizes in the context of energy efficiency with the evaluations made.

ANALYSIS FOR THERMAL BEHAVIOR AND ENERGY SAVINGS OF A SEMI-DETACHED HOUSE WITH DIFFERENT INSULATION STRATEGIES IN A HOT SEMI-ARID CLIMATE

2017 ◽  
Vol 12 (1) ◽  
pp. 78-106 ◽  
Author(s):  
Issam Sobhy ◽  
Abderrahim Brakez ◽  
Brahim Benhamou
Keyword(s):  
Thermal Insulation ◽  
Energy Savings ◽  
Thermal Inertia ◽  
Residential Building ◽  
Cavity Wall ◽  
Arid Climate ◽  
Heating And Cooling ◽  
Detached House ◽  
Cooling Loads ◽  
Semi Arid

The purpose of this research is to assess thermal performance and energy saving of a residential building in the hot semi-arid climate of Marrakech (Morocco). The studied house is built as usual in Marrakech without any thermal insulation except for its external walls, facing East and West, which are double walls with a 5 cm air gap in between (“cavity wall” technique). The cavity wall effective thermal conductivity was carefully calculated taking into account both radiation and convection heat transfers. Experimental results, obtained from winter and summer monitoring of the house, show well dampening of air temperature, thanks to its thermal inertia. However, this temperature remained outside the standard thermal comfort zone leading to large cooling/heating load. Simulation results indicate that the cavity wall contributes to an overall reduction of 13% and 5% of the house heating and cooling loads respectively. Moreover, the addition of XPS roof thermal insulation significantly enhances the heating and cooling energy savings to 26% and 40% respectively.

scholarly journals Working on Buildings’ Energy Performance Upgrade in Mediterranean Climate

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2159 ◽  
Author(s):  
Dimitris Al. Katsaprakakis ◽  
Georgios Zidianakis ◽  
Yiannis Yiannakoudakis ◽  
Evaggelos Manioudakis ◽  
Irini Dakanali ◽  
...  
Keyword(s):  
Performance Indicators ◽  
Mediterranean Climate ◽  
Computational Simulation ◽  
Residential Building ◽  
Energy Systems ◽  
Energy Performance ◽  
Mediterranean Islands ◽  
Heating And Cooling ◽  
The Common ◽  
Cooling Loads

This article aims to present the results from studies on the energy performance upgrade of buildings and facilities located in Crete, Greece, in a typical Mediterranean climate. In Mediterranean islands, the most buildings remain uninsulated, classified in C or even lower energy performance rank. In this article four reference buildings and one sports facility are investigated: a residential building, a municipality building, a school building, a museum and the Pancretan Stadium. Detailed calculations based on the computational simulation of each examined facility were executed, giving accurate results on the heating and cooling loads, both for the existing conditions and after the integration of the proposed passive measures. Thorough dimensioning and energy calculations have been executed for specific active energy systems too, particularly proposed for each examined case. With this parametric approach, the article indicates the effect and the economic efficiency of the proposed active or passive measures for each examined facility, expressed with specific key performance indicators. The common conclusion for all investigated cases is the huge margin for energy saving, which can reach 65% with regard to the existing annual consumptions. The payback period of the introduced energy upgrade measures can be as low as 15 years.

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