Analysis of Energy Consumption in Building with NZEB Concept

2016 ◽  
Vol 824 ◽  
pp. 347-354 ◽  
Author(s):  
Rastislav Ingeli ◽  
Miroslav Čekon

The trend in the components of residential buildings is low energy demand buildings in relation to the minimum costs spent by users for their operation. The main aim of their construction is to improve the energy economy of buildings, to reduce the environmental load in energy consumption, to improve the quality of the interior, to ensure the minimum cost level in the operation of buildings and their maintenance in the life cycle. The consequence of increased energy prices and the possible implementation of tax policies in the countries of Europe is more frequently designing and implementing energy self-contained buildings. This means that energy necessary for the general use of a building can be produced in it to certain extent. The concept of such buildings is not only in high quality heat insulating properties, but also in suitable installed devices utilizing alternative sources. The objective indicator of saving and proof of the required level of a building is an analysis of its real energy consumption. The paper analyzes the energy consumption in a specific house which, in the design phase, met the criteria for designing a nearly zero energy building. The analyzed building has a high thermal protection and uses photovoltaic energy as an alternative source. The main aim is to evaluate the concept of the designed nearly zero energy building and to assess it in relation to the really consumed energy.

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3252 ◽  
Author(s):  
Xiaolong Xu ◽  
Guohui Feng ◽  
Dandan Chi ◽  
Ming Liu ◽  
Baoyue Dou

Optimizing key parameters with energy consumption as the control target can minimize the heating and cooling needs of buildings. In this paper we focus on the optimization of performance parameters design and the prediction of energy consumption for nearly Zero Energy Buildings (nZEB). The optimal combination of various performance parameters and the Energy Saving Ratio (ESR)are studied by using a large volume of simulation data. Artificial neural networks (ANNs) are applied for the prediction of annual electrical energy consumption in a nearly Zero Energy Building designs located in Shenyang (China). The data of the energy demand for our test is obtained by using building simulation techniques. The results demonstrate that the heating energy demand for our test nearly Zero Energy Building is 17.42 KW·h/(m2·a). The Energy Saving Ratio of window-to-wall ratios optimization is the most obvious, followed by thermal performance parameters of the window, and finally the insulation thickness. The maximum relative error of building energy consumption prediction is 6.46% when using the artificial neural network model to predict energy consumption. The establishment of this prediction method enables architects to easily and accurately obtain the energy consumption of buildings during the design phase.


2021 ◽  
Vol 11 (12) ◽  
pp. 5377
Author(s):  
Marco Pittarello ◽  
Massimiliano Scarpa ◽  
Aurora Greta Ruggeri ◽  
Laura Gabrielli ◽  
Luigi Schibuola

Building energy modeling (BEM) is used to support (nearly) zero-energy building (ZEB) projects, since this kind of software represents the only available option to forecast building energy consumption with high accuracy. BEM may also be used during preliminary analyses or feasibility studies, but simulation results are usually too detailed for this stage of the project. Aside from that, when optimization algorithms are used, the implied high number of energy simulations causes very long calculation times. Therefore, designers could be discouraged from the extensive use of BEM to conduct optimization analyses. Thus, they prefer to study and compare a very limited amount of acknowledged alternative designs. In relation to this problem, the scope of the present study is to obtain an easy-to-use tool to quickly forecast the energy consumption of a building with no direct use of BEM to support fast comparative analyses at the early stages of energy projects. In response, a set of automatic energy assessment tools was developed based on machine learning techniques. The forecasting tools are artificial neural networks (ANNs) that are able to estimate the energy consumption automatically for any building, based on a limited amount of descriptive data of the property. The ANNs are developed for the Po Valley area in Italy as a pilot case study. The ANNs may be very useful to assess the energy demand for even a considerable number of buildings by comparing different design options, and they may help optimization analyses.


2021 ◽  
Author(s):  
◽  
Dekhani Juvenalis Dukakis Nsaliwa

<p>In most developed economies, buildings are directly and indirectly accountable for at least 40% of the final energy use. Consequently, most world cities are increasingly surpassing sensitive environmental boundaries and continue to reach critical biophysical thresholds. Climate change is one of the biggest threats humanity faces today and there is an urgent need to reduce energy use and CO₂ emissions globally to zero or to less than zero, to address climate change. This often leads to the assumption that buildings must reduce energy demand and emit radically less CO₂ during construction and occupation periods. Certainly, this is often implemented through delivering ‘zero energy buildings’. The deployment of residential buildings which meet the zero energy criteria thereby allowing neighbourhoods and cities to convert to semi-autonomous energy systems is seen to have a promising potential for reducing and even eliminating energy demand and the associated greenhouse gas emissions. However, most current zero energy building approaches focus solely on operational energy overlooking other energy uses such as embodied energy and user transport energy. Embodied energy constitutes all energy requirements for manufacturing building materials, construction and replacement. Transport energy comprises the amount of energy required to provide mobility services to building users.  Zero energy building design decisions based on partial evaluation and quantification approaches might result in an increased energy demand at different or multiple scales of the built environment. Indeed, recent studies have demonstrated that embodied and transport energy demands account for more than half of the total annual energy demand of residential buildings built based on zero energy criteria. Current zero energy building frameworks, tools and policies therefore may overlook more than ~80% of the total net energy balance annually.  The original contribution of this thesis is an integrated multi-scale zero energy building framework which has the capacity to gauge the relative effectiveness towards the deployment of zero energy residential buildings and neighbourhoods. This framework takes into account energy requirements and CO₂ emissions at the building scale, i.e. the embodied energy and operation energy demands, and at the city scale, i.e. the embodied energy of related transport modes including infrastructure and the transport operational energy demand of its users. This framework is implemented through the development of a quantification methodology which allows the analysis and evaluation of energy demand and CO₂ emissions pertaining to the deployment of zero energy residential buildings and districts. A case study, located in Auckland, New Zealand is used to verify, validate and investigate the potential of the developed framework.  Results confirm that each of the building (embodied and operational) and transport (embodied and operational) energy requirements represent a very significant share of the annual overall energy demand and associated CO₂ emissions of zero energy buildings. Consequently, rather than the respect of achieving a net zero energy building balance at the building scale, the research has revealed that it is more important, above all, to minimise building user-related and transportation energy demand at the city scale and maximise renewable energy production coupled with efficiency improvements at grid level. The application of the developed evaluation framework will enable building designers, urban planners, researchers and policy makers to deliver effective multi-scale zero energy building strategies which will ultimately contribute to reducing the overall environmental impact of the built environment today.</p>


2021 ◽  
Author(s):  
◽  
Dekhani Juvenalis Dukakis Nsaliwa

<p>In most developed economies, buildings are directly and indirectly accountable for at least 40% of the final energy use. Consequently, most world cities are increasingly surpassing sensitive environmental boundaries and continue to reach critical biophysical thresholds. Climate change is one of the biggest threats humanity faces today and there is an urgent need to reduce energy use and CO₂ emissions globally to zero or to less than zero, to address climate change. This often leads to the assumption that buildings must reduce energy demand and emit radically less CO₂ during construction and occupation periods. Certainly, this is often implemented through delivering ‘zero energy buildings’. The deployment of residential buildings which meet the zero energy criteria thereby allowing neighbourhoods and cities to convert to semi-autonomous energy systems is seen to have a promising potential for reducing and even eliminating energy demand and the associated greenhouse gas emissions. However, most current zero energy building approaches focus solely on operational energy overlooking other energy uses such as embodied energy and user transport energy. Embodied energy constitutes all energy requirements for manufacturing building materials, construction and replacement. Transport energy comprises the amount of energy required to provide mobility services to building users.  Zero energy building design decisions based on partial evaluation and quantification approaches might result in an increased energy demand at different or multiple scales of the built environment. Indeed, recent studies have demonstrated that embodied and transport energy demands account for more than half of the total annual energy demand of residential buildings built based on zero energy criteria. Current zero energy building frameworks, tools and policies therefore may overlook more than ~80% of the total net energy balance annually.  The original contribution of this thesis is an integrated multi-scale zero energy building framework which has the capacity to gauge the relative effectiveness towards the deployment of zero energy residential buildings and neighbourhoods. This framework takes into account energy requirements and CO₂ emissions at the building scale, i.e. the embodied energy and operation energy demands, and at the city scale, i.e. the embodied energy of related transport modes including infrastructure and the transport operational energy demand of its users. This framework is implemented through the development of a quantification methodology which allows the analysis and evaluation of energy demand and CO₂ emissions pertaining to the deployment of zero energy residential buildings and districts. A case study, located in Auckland, New Zealand is used to verify, validate and investigate the potential of the developed framework.  Results confirm that each of the building (embodied and operational) and transport (embodied and operational) energy requirements represent a very significant share of the annual overall energy demand and associated CO₂ emissions of zero energy buildings. Consequently, rather than the respect of achieving a net zero energy building balance at the building scale, the research has revealed that it is more important, above all, to minimise building user-related and transportation energy demand at the city scale and maximise renewable energy production coupled with efficiency improvements at grid level. The application of the developed evaluation framework will enable building designers, urban planners, researchers and policy makers to deliver effective multi-scale zero energy building strategies which will ultimately contribute to reducing the overall environmental impact of the built environment today.</p>


2021 ◽  
Vol 167 (1-2) ◽  
Author(s):  
Jens Ewald ◽  
Thomas Sterner ◽  
Eoin Ó Broin ◽  
Érika Mata

AbstractA zero-carbon society requires dramatic change everywhere including in buildings, a large and politically sensitive sector. Technical possibilities exist but implementation is slow. Policies include many hard-to-evaluate regulations and may suffer from rebound mechanisms. We use dynamic econometric analysis of European macro data for the period 1990–2018 to systematically examine the importance of changes in energy prices and income on residential energy demand. We find a long-run price elasticity of −0.5. The total long-run income elasticity is around 0.9, but if we control for the increase in income that goes towards larger homes and other factors, the income elasticity is 0.2. These findings have practical implications for climate policy and the EU buildings and energy policy framework.


Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7591
Author(s):  
Wojciech Cieslik ◽  
Filip Szwajca ◽  
Jedrzej Zawartowski ◽  
Katarzyna Pietrzak ◽  
Slawomir Rosolski ◽  
...  

The growing number of electric vehicles in recent years is observable in almost all countries. The country’s energy transition should accompany this rise in electromobility if it is currently generated from non-renewable sources. Only electric vehicles powered by renewable energy sources can be considered zero-emission. Therefore, it is essential to conduct interdisciplinary research on the feasibility of combining energy recovery/generation structures and testing the energy consumption of electric vehicles under real driving conditions. This work presents a comprehensive approach for evaluating the energy consumption of a modern public building–electric vehicle system within a specific location. The original methodology developed includes surveys that demonstrate the required mobility range to be provided to occupants of the building under consideration. In the next step, an energy balance was performed for a novel near-zero energy building equipped with a 199.8 kWp photovoltaic installation, the energy from which can be used to charge an electric vehicle. The analysis considered the variation in vehicle energy consumption by season (winter/summer), the actual charging profile of the vehicle, and the parking periods required to achieve the target range for the user.


2020 ◽  
pp. 40-49 ◽  
Author(s):  
Angelika Anduła ◽  
Dariusz Heim

Photovoltaic systems have become a common solution for, both small residential buildings as well as large service buildings. When buildings are being designed, it is important to focus on the aspect of the object’s energy efficiency as lowering the energy consumption of a given facility is crucial. The article discusses the use of photovoltaic panels such as so-called BAPV (Building Applied Photovoltaics) and BIPV (Building Installed Photovoltaics) installations as well as photovoltaic thermal systems (PV/T), which generate both electricity and heat. The role of PV installation in so-called zero energy buildings and proposals for future research and solutions are also discussed.


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