scholarly journals Parametric Optimization of Window-to-Wall Ratio for Passive Buildings Adopting A Scripting Methodology to Dynamic-Energy Simulation

2019 ◽  
Vol 11 (11) ◽  
pp. 3078 ◽  
Author(s):  
Giacomo Chiesa ◽  
Andrea Acquaviva ◽  
Mario Grosso ◽  
Lorenzo Bottaccioli ◽  
Maurizio Floridia ◽  
...  
Keyword(s):  
Winter Season ◽  
Holistic Approach ◽  
Building Design ◽  
Optimization Techniques ◽  
Energy Simulation ◽  
Early Design ◽  
Heating And Cooling ◽  
Energy Needs ◽  
Dynamic Energy Simulation ◽  
Energy Simulations

Counterbalancing climate change is one of the biggest challenges for engineers around the world. One of the areas in which optimization techniques can be used to reduce energy needs, and with that the pollution derived from its production, is building design. With this study of a generic office located both in a northern country and in a temperate/Mediterranean site, we want to introduce a coding approach to dynamic energy simulation, able to suggest, from the early-design phases when the main building forms are defined, optimal configurations considering the energy needs for heating, cooling and lighting. Generally, early-design considerations of energy need reduction focus on the winter season only, in line with the current regulations; nevertheless a more holistic approach is needed to include other high consumption voices, e.g., for space cooling and lighting. The main considered design parameter is the WWR (window-to-wall ratio), even if further variables are considered in a set of parallel analyses (level of insulation, orientation, activation of low-cooling strategies including shading devices and ventilative cooling). Finally, the effect of different levels of occupancy was included in the analysis to regress results and compare the WWR with corresponding heating and cooling needs. This approach is adapted to Passivhaus design optimization, working on energy need minimisation acting on envelope design choices. The results demonstrate that it is essential to include, from the early-design configurations, a larger set of variables in order to optimize the expected energy needs on the basis of different aspects (cooling, heating, lighting, design choices). Coding is performed using Python scripting, while dynamic energy simulations are based on EnergyPlus.

scholarly journals Optimization of building design process by using energy simulation tools

2018 ◽  
Vol 174 ◽  
pp. 01033
Author(s):  
Piotr Ziembicki
Keyword(s):  
Energy Efficiency ◽  
Design Process ◽  
Residential Buildings ◽  
Detailed Balance ◽  
Building Design ◽  
Simulation Software ◽  
Energy Simulation ◽  
Efficient Operation ◽  
Energy Simulations ◽  
Polish Law

Requirements concerning energy efficiency of buildings, as well as the emission of energy sources working for their needs, are constantly growing. It is related to the Polish law, as well as European Union directives. It is obvious that in the coming years, further regulations and directives will impose additional requirements in this area. Therefore, the requirements for the operation of buildings and process of their designing are changing already today. In the past, the design process, in particular in the aspect of energy consumption, was based primarily on the procedures of static analysis of the building's structure (partitions, glazing, etc.). A typical calculation of a building heat demand did not take into account other aspects of the building's operation, such as user behaviour, heat gains or thermal accumulation of the building. Therefore, in modern designing, it is extremely important to use advanced computer techniques to develop a detailed balance of energy, which takes into account all its useful forms, including heat and electricity. Only such a comprehensive approach will render it possible to achieve the energy efficiency indicators required by law, as well as an economically efficient operation of the building, with a minimal bad influence on the environment. In general, the manuscript presents methods of comprehensive computer energy simulation of buildings, which can be used for optimal designing of buildings for any purpose. The article also presents an overview of available computer tools, which are recommended for the building design process. There are also some examples of using a simulation software for the analysis of residential buildings, along with the analysis of the results of energy simulations carried out with its help.

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 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 Comparative Analysis of the Dynamic Building Energy Simulation Tools

2017 ◽  
Vol 9 (4) ◽  
pp. 442-450 ◽  
Author(s):  
Vytautas Pajaujis ◽  
Violeta Motuzienė
Keyword(s):  
Energy Demand ◽  
Building Energy ◽  
Cooling Capacity ◽  
Energy Simulation ◽  
Simulation Tools ◽  
Building Model ◽  
Heating And Cooling ◽  
Energy Demands ◽  
Dynamic Energy Simulation ◽  
Heating Up

There are a lot of methodologies and simulation tools in the world to assess the energy demand of a building. The results of simulation tools often differ, but the causes are not analysed in more detail. The article compares the results of two most widely used dynamic energy simulation tools – DesignBuilder and IES-VE, when simulation of identical building model with the same assumptions in both programs is performed. In addition, for comparison, calculations are performed with the PHPP program, as well as using STR2.09.04:2008 methodology. The tools compare the heating, cooling capacity, energy consumption of the building for heating and cooling the building during the simulation. Following differences comparing energy demands gained with two different simulation tools are defined: ventilation – up to 11%, cooling – up to 9%, heating – up to 5%.

Price structures for electricity supply and potential consequences for building services systems

2021 ◽  
pp. 014362442199081
Author(s):  
Roger Hitchin
Keyword(s):  
Cost Effective ◽  
Building Design ◽  
Electricity Supply ◽  
Cooling Systems ◽  
Price Structure ◽  
Heating And Cooling ◽  
Future System ◽  
The Cost ◽  
Supply Systems ◽  
Effective Design

Policies to reduce carbon emissions are leading to substantial changes in the demand for electricity and to the structure of electricity supply systems, which will alter the cost structure of electricity supply. This can be expected to result in corresponding changes to the price structure faced by customers. This note is an initial exploration of how possible new price structures may impact on HVAC system and building design and use. Changes in the price structure of electricity supply (separately from changes in price levels) can significantly affect the cost-effective design and operation of building services systems; especially of heating and cooling systems. The nature and implications of these changes can have important implications for future system design and operation.

scholarly journals Comparison of Factorial and Latin Hypercube Sampling Designs for Meta-Models of Building Heating and Cooling Loads

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 512
Author(s):  
Younhee Choi ◽  
Doosam Song ◽  
Sungmin Yoon ◽  
Junemo Koo
Keyword(s):  
Latin Hypercube Sampling ◽  
Building Design ◽  
Gain Coefficient ◽  
Design Parameters ◽  
Latin Hypercube ◽  
Heating And Cooling ◽  
Factor Design ◽  
Heating Loads ◽  
Cooling Loads ◽  
Interest In Research

Interest in research analyzing and predicting energy loads and consumption in the early stages of building design using meta-models has constantly increased in recent years. Generally, it requires many simulated or measured results to build meta-models, which significantly affects their accuracy. In this study, Latin Hypercube Sampling (LHS) is proposed as an alternative to Fractional Factor Design (FFD), since it can improve the accuracy while including the nonlinear effect of design parameters with a smaller size of data. Building energy loads of an office floor with ten design parameters were selected as the meta-models’ objectives, and were developed using the two sampling methods. The accuracy of predicting the heating/cooling loads of the meta-models for alternative floor designs was compared. For the considered ranges of design parameters, window insulation (WDI) and Solar Heat Gain Coefficient (SHGC) were found to have nonlinear characteristics on cooling and heating loads. LHS showed better prediction accuracy compared to FFD, since LHS considers the nonlinear impacts for a given number of treatments. It is always a good idea to use LHS over FFD for a given number of treatments, since the existence of nonlinearity in the relation is not pre-existing information.

scholarly journals Impact of Window to Wall Ratio on Energy Loads in Hot Regions: A Study of Building Energy Performance

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1080
Author(s):  
Mamdooh Alwetaishi ◽  
Omrane Benjeddou
Keyword(s):  
Saudi Arabia ◽  
Building Materials ◽  
Building Design ◽  
Building Energy ◽  
Energy Performance ◽  
Design Stage ◽  
Design Solution ◽  
Building Energy Efficiency ◽  
Climatic Regions ◽  
Heating And Cooling

The concern regarding local responsive building design has gained more attention globally as of late. This is due to the issue of the rapid increase in energy consumption in buildings for the purpose of heating and cooling. This has become a crucial issue in educational buildings and especially in schools. The major issue in school buildings in Saudi Arabia is that they are a form of prototype school building design (PSBD). As a result, if there is any concern in the design stage and in relation to the selection of building materials, this will spread throughout the region. In addition to that, the design is repeated regardless of the climate variation within the kingdom of Saudi Arabia. This research will focus on the influence of the window to wall ratio on the energy load in various orientations and different climatic regions. The research will use the energy computer tool TAS Environmental Design Solution Limited (EDSL) to calculate the energy load as well as solar gain. During the visit to the sample schools, a globe thermometer will be used to monitor the globe temperature in the classrooms. This research introduces a framework to assist architects and engineers in selecting the proper window to wall ratio (WWR) in each direction within the same building based on adequate natural light with a minimum reliance on energy load. For ultimate WWR for energy performance and daylight, the WWR should range from 20% to 30%, depending on orientation, in order to provide the optimal daylight factor combined with building energy efficiency. This ratio can be slightly greater in higher altitude locations.

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