scholarly journals Housing Energy Equivalence: A Graphical Approach

2021 ◽  
Vol 6 ◽  
pp. 36
Author(s):  
Anna Pages-Ramon ◽  
Judit Lopez-Besora ◽  
Carlos Alonso-Montolio
Keyword(s):  
Surface Area ◽  
Energy Demand ◽  
Architectural Design ◽  
Building Design ◽  
Environmental Conditioning ◽  
Photovoltaic Modules ◽  
Home Appliances ◽  
Heating And Cooling ◽  
Energy Equivalence ◽  
The Impact

All buildings, even the most passive, need active energy to provide habitability. Apart from heating and cooling needs, which have been broadly studied and regulated, a significant percentage of the energy consumed in housing is due to home appliances. Furthermore, this value is increasing as the design of environmental conditioning becomes more efficient. The objective of this paper is to visualize the impact of these consumptions by a graphical equivalence that uses drawing to represent the surface area of photovoltaic modules that correspond to the energy demand. With this aim, a straightforward method is proposed based on graphical means that fit well with the working practice of architects. The procedure starts by detailing the energy consumption of a home, focusing on the consumption values of all appliances and lighting. Next, each single value is converted into the surface area of photovoltaic modules required to produce this energy in one year. Finally, each appliance and its corresponding energy production area are represented graphically side by side, resulting in the housing energy equivalence. This method has been tested by a group of architecture master's students using their own homes as the case study. The results show that the energy equivalent surface area for lighting and appliances represents between 8% and 46% of the floor area of their homes. Altogether, this approach makes visible a pending question in sustainable building design − the consumption of electrical home appliances − and provides rough graphical data which is useful for pre-dimensioning in the architectural design process.

The impact of technology on architecture in Iran with focus on saving in energy consumption

2015 ◽  
Vol 16 (SE) ◽  
pp. 97-103
Author(s):  
Allah Bakhsh Kavoosi ◽  
Shahin Heidari ◽  
Hamed Mazaherian
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Industrial Revolution ◽  
Demand Prediction ◽  
Interior Spaces ◽  
Heating And Cooling ◽  
Impact Of Technology ◽  
Contemporary Architecture ◽  
The Impact ◽  
The Given

Growth and development of technology caused enormous transformation and change in the world after Industrial Revolution. The contemporary human has prepared the platform for their realization in many activities that the humans were unable to do it in the past time and struck the dream of their realization in their mind so that today doing many of those activities have been apparently practical by human. This accelerating growth accompanied with consuming a lot of energy where with respect to restriction of the given existing resources, it created energy crises. On the other hand, along with growth in industry and requirement for manpower and immigration from village to city and basic architectural changes in houses, which have emerged due to change in social structure it has led to change in lifestyle and type and quantity of consuming energy in contemporary architecture. Inter alia, with increase in human’s capability, cooling and heating and acoustic and lighting technologies were also changed in architecture and using mechanical system was replaced by traditional systems. Application of modern systems, which resulted from growth of industry and development of technology and it unfortunately, caused further manipulation in nature and destruction of it by human in addition to improving capability and potential of human’s creativity. With respect to growth of population and further need for housing and tendency to the dependent heating and cooling systems to them in this article we may notice that the housing is assumed as the greatest consumer of energy to create balance among the exterior and interior spaces in line with creating welfare conditions for heating and cooling and lighting. The tables of energy demand prediction in Iran show that these costs and energy consumption will be dubbed with energy control smart management in architecture.

Predicting Annual Heating Demand under Sensitivity Analysis

2013 ◽  
Vol 330 ◽  
pp. 911-915 ◽  
Author(s):  
Vladimír Geletka ◽  
Anna Sedláková
Keyword(s):  
Sensitivity Analysis ◽  
Performance Feedback ◽  
Initial Phase ◽  
Architectural Design ◽  
Building Design ◽  
Stochastic Approach ◽  
Energy Performance ◽  
Simulation Based ◽  
Input Parameters ◽  
The Impact

The quality of most buildings may be affected during the initial phase of architectural design. It is therefore to optimize input parameters, which significantly influence energy efficiency. In principle it is possible to speak of a deterministic approach, which consider the input parameters to be fixed or a stochastic approach, which takes a wider set of input parameters into account. A single-storey house is evaluated in terms of energy performance in the initial phase of building design, where input parameters are changed in order to determine a correlation coefficient. The methodology is based on a sensitivity analysis (SA) and MonteCarlo simulation based on a stochastic random selection. Regression (RA) were written to express the impact architectural design has on energy performance. Feedback from the regression model estimates annual heating demand of single storey house.

scholarly journals The Impact of Local Materials on the Improvement of the Thermal Comfort in Building

2020 ◽  
pp. 22-35
Author(s):  
Amadou Oumarou Fati ◽  
Bonkaney Abdou Latif ◽  
Ouedraogo Souleymane ◽  
S. M. Ky. Thierry ◽  
Mamadou Lewamy ◽  
...  
Keyword(s):  
Thermal Comfort ◽  
Energy Demand ◽  
Building Materials ◽  
Building Design ◽  
Temporal Variations ◽  
Raw Material ◽  
High Rise ◽  
Energy Demands ◽  
The Impact ◽  
Local Materials

The increasing energy demands in the building sector is considered as a main issue and has result both in the energy shortage and also environmental impact such as climate change and global warming. This demand is always increasing due to the high-rise level and also the need of thermal comfort. This paper aims to describe a passive approach to reduce the energy demand for a building through an improvement of the design of the thermal envelope. Within this work, we utilized the thermophysical properties of four building materials: three local materials (compressed earth, lateritic, and raw material) and one modern (Hollow cement) and an energy analysis of the building has been carried out. The numerical optimization of the building design has been performed dynamically by COMSOL Multiphysics software: case study of Ouagadougou and surface is 100m2. Also, the temporal variations in the inside of the room as well as the temperature of the walls and the ceiling with four different materials have been determined. The result shows that, for BLT, the maximum obtained around 22H is 308K, for Adobe it is 309K around 18H30, for BTC it was 309.2K at 20H and finally for cement block it is 310K around 18H. The mean average temperature of the building is low when we use local materials instead of modern one. Then, we conclude that, the use of local materials in the building design is an option for reducing the heat transfer into the room and at the energy consumption.

Integrating building modelling with future energy systems

2018 ◽  
Vol 39 (2) ◽  
pp. 135-146 ◽  
Author(s):  
David Jenkins
Keyword(s):  
Energy Demand ◽  
Energy Systems ◽  
Building Design ◽  
Building Envelope ◽  
Low Carbon ◽  
Industry Practice ◽  
Carbon Performance ◽  
Tools And Techniques ◽  
Integration Project ◽  
The Impact

The low-carbon building design process for a building engineer is often confined to construction, building services and occupancy. However, as we see coincident changes in climate, technologies, fuels and operation, it becomes important to extend this understanding to include wider energy systems, while clarifying the importance of the built environment within that system. With energy systems, such as the National Grid, involving multiple actors from different disciplines, a key challenge is to provide guidance and future projections that are translated into different discipline-specific vernaculars, but with a genesis of common assumptions. More generally, integration across the disciplines must be reflected by modelling approaches, policy-making frameworks and outputs. This article will demonstrate the initial stages of the energy demand research of the Centre of Energy Systems Integration project, where novel modelling techniques are being used to explore the effect of future buildings on national energy systems. Practical application: The tools and techniques described within this article are designed with future industry practice in mind. The driver is the increased importance of external factors outside the traditional building envelope in determining the energy and carbon performance of a building (or buildings). Building engineers, and others within building design teams, require a new portfolio of tools and resources to better account for the impact of buildings on wider energy systems and vice versa. The role of such practitioners is therefore likely to evolve.

scholarly journals Improvement of Daylight Factor Model for Window Size Optimization and Energy Efficient Building Envelope Designs

2021 ◽  
Vol 8 (2) ◽  
pp. 204-221
Author(s):  
Chahrazed Mebarki ◽  
◽  
Essaid Djakab ◽  
Abderrahmane Mejedoub Mokhtari ◽  
Youssef Amrane ◽  
...  
Keyword(s):  
Energy Demand ◽  
Research Work ◽  
Optimal Solution ◽  
Window Size ◽  
Building Envelope ◽  
Nsga Ii ◽  
New Approach ◽  
Building Model ◽  
Heating And Cooling ◽  
The Impact

Based on a new approach for the prediction of the Daylight Factor (DF), using existing empirical models, this research work presents an optimization of window size and daylight provided by the glazed apertures component for a building located in a hot and dry climate. The new approach aims to improve the DF model, considering new parameters for daylight prediction such as the orientation, sky conditions, daytime, and the geographic location of the building to fill in all the missing points that the standard DF, defined for an overcast sky, presents. The enhanced DF model is considered for the optimization of window size based on Non dominated Sorting Genetic Algorithm (NSGA II), for heating and cooling season, taking into account the impact of glazing type, space reflectance and artificial lighting installation. Results of heating and cooling demand are compared to a recommended building model for hot and dry climate with 10% Window to Wall Ratio (WWR) for single glazing. The optimal building model is then validated using a dynamic convective heat transfer simulation. As a result, a reduction of 48% in energy demand and 21.5% in CO2 emissions can be achieved. The present approach provides architects and engineers with a more accurate daylight prediction model considering the effect of several parameters simultaneously. The new proposed approach, via the improved DF model, gives an optimal solution for window design to minimize building energy demand while improving the indoor comfort parameters.

scholarly journals Coupling a Building Energy Simulation Tool with a Microclimate Model to Assess the Impact of cool Pavements on the Building’s Energy Performance. Application in a Dense Residential Area

2019 ◽  
Vol 11 (9) ◽  
pp. 2519 ◽  
Author(s):  
Tsoka ◽  
Tsikaloudaki ◽  
Theodosiou
Keyword(s):  
Urban Areas ◽  
Energy Demand ◽  
Thermal Environment ◽  
Energy Performance ◽  
Computational Method ◽  
Weather Data ◽  
Building Unit ◽  
Heating And Cooling ◽  
Data Generator ◽  
The Impact

Replacing conventional pavements with the corresponding high albedo ones constitutes a well-known technique to improve outdoor thermal environment of modern cites. Since most of the existing studies assess the impact of the high albedo pavements at the pedestrian’s height and with respect to thermal comfort, this study aims to examine the effect of the application of highly reflective pavements on the heating and cooling energy needs of a building unit, located inside a dense urban area. Aiming at a higher accuracy of the energy performance simulations, an integrated computational method between ENVI-met model, Meteonorm weather data generator and Energy Plus software is established, to consider the site-specific microclimatic characteristics of the urban areas. The analysis is performed both for the design and the aged albedo values as significant changes may occur due to aging process. The analysis revealed that the application of cool materials on the ground surfaces only marginally affects the energy performance of the examined building unit, both for the design and the aged albedo value; changes on the annual heating and cooling energy demand, for both albedo scenarios did not exceed 1.5% revealing the limited potential of cool pavements regarding the improvement of the energy performance of urban building units.

scholarly journals Impact of Shape Factor on Energy Demand, CO2 Emissions and Energy Cost of Residential Buildings in Cold Oceanic Climates: Case Study of South Chile

2021 ◽  
Vol 13 (17) ◽  
pp. 9491
Author(s):  
Manuel Carpio ◽  
David Carrasco
Keyword(s):  
Co2 Emissions ◽  
Shape Factor ◽  
Energy Demand ◽  
Architectural Design ◽  
Residential Buildings ◽  
Thermal Transmittance ◽  
Energy Demands ◽  
Oceanic Climate ◽  
The Impact

The increase in energy consumption that occurs in the residential sector implies a higher consumption of natural resources and, therefore, an increase in pollution and a degradation of the ecosystem. An optimal use of materials in the thermal envelope, together with efficient measures in the passive architectural design process, translate into lower energy demands in residential buildings. The objective of this study is to analyse and compare, through simulating different models, the impact of the shape factor on energy demand and CO2 emissions depending on the type of construction solution used in the envelope in a cold oceanic climate in South Chile. Five models with different geometries were considered based on their relationship between exposed surface and volume. Additionally, three construction solutions were chosen so that their thermal transmittance gradually complied with the values required by thermal regulations according to the climatic zone considered. Other parameters were equally established for all simulations so that their comparison was objective. Ninety case studies were obtained. Research has shown that an appropriate design, considering a shape factor suitable below 0.767 for the type of cold oceanic climate, implies a decrease in energy demand, which increased when considering architectural designs in the envelope with high values of thermal resistance.

scholarly journals Optimization of Modernization of a Single-Family Building in Poland Including Thermal Comfort

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2925
Author(s):  
Bernard Zawada ◽  
Joanna Rucińska
Keyword(s):  
Thermal Comfort ◽  
Energy Demand ◽  
Primary Energy ◽  
Separate Analysis ◽  
Negative Consequences ◽  
Single Family ◽  
Heating And Cooling ◽  
Energy Demands ◽  
Modernization Process ◽  
The Impact

The impact of thermal comfort demand on the renovation process was carried out on an optimization basis for the thermo-modernization process of an exemplary single-family home located in Warsaw. The verified TRNSYS simulation program was used to generate a set of variants of building modernization solutions. This variants set was used afterwards as a database for optimization. The analysis performed includes the internal air temperature, indicators of thermal comfort (PPD), and annual energy demand for heating and cooling, and investment costs of modernization building. The results indicated the importance of analyzing various variants of building modernization solutions. Performing modernization without analyzing its effects can have positive as well as negative consequences, e.g., achieving a significant reduction in the primary energy demands at the expense of the deteriorated thermal comfort of users. It was shown that separate analysis of indicators leads to completely different solutions and should not be recommended during modernization of single-family buildings.

scholarly journals Building Optimization through a Parametric Design Platform: Using Sensitivity Analysis to Improve a Radial-Based Algorithm Performance

2021 ◽  
Vol 13 (10) ◽  
pp. 5739
Author(s):  
Nayara R. M. Sakiyama ◽  
Joyce C. Carlo ◽  
Leonardo Mazzaferro ◽  
Harald Garrecht
Keyword(s):  
Energy Demand ◽  
High Performance ◽  
Natural Ventilation ◽  
Performance Metrics ◽  
Building Design ◽  
Parametric Modeling ◽  
Sensitivity Analyses ◽  
Cooling Period ◽  
Building Set ◽  
The Impact

Performance-based design using computational and parametric optimization is an effective strategy to solve the multiobjective problems typical of building design. In this sense, this study investigates the developing process of parametric modeling and optimization of a naturally ventilated house located in a region with well-defined seasons. Its purpose is to improve its thermal comfort during the cooling period by maximizing Natural Ventilation Effectiveness (NVE) and diminishing annual building energy demand, namely Total Cooling Loads (TCL) and Total Heating Loads (THL). Following a structured workflow, divided into (i) model setting, (ii) Sensitivity Analyses (SA), and (iii) Multiobjective Optimization (MOO), the process is straightforwardly implemented through a 3D parametric modeling platform. After building set up, the input variables number is firstly reduced with SA, and the last step runs with an innovative model-based optimization algorithm (RBFOpt), particularly appropriate for time-intensive performance simulations. The impact of design variables on the three-performance metrics is comprehensively discussed, with a direct relationship between NVE and TCL. MOO results indicate a great potential for natural ventilation and heating energy savings for the residential building set as a reference, showing an improvement between 14–87% and 26–34% for NVE and THL, respectively. The approach meets the current environmental demands related to reducing energy consumption and CO2 emissions, which include passive design implementations, such as natural or hybrid ventilation. Moreover, the design solutions and building orientation, window-to-wall ratio, and envelope properties could be used as guidance in similar typologies and climates. Finally, the adopted framework configures a practical and replicable approach for studies aiming to develop high-performance buildings through MOO.

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