scholarly journals ASSESSMENT OF ENERGY PERFORMANCE GAP OF AN OFFICE BUILDING

2021 ◽  
Vol 13 (0) ◽  
pp. 1-6
Author(s):  
Rasa Džiugaitė-Tumėnienė ◽  
Domas Madeikis

The high share of global energy costs to create an indoor climate has been of increasing interest to the global community for several decades and is increasingly the focus of policy. This paper analyses the energy performance gap between actual energy consumption and energy demand obtained during the dynamic energy simulation and building certification. To identify the energy performance gap, an existing office of energy efficiency class B was selected as a case study. The simulation program IDA Indoor Climate and Energy was used to create a dynamic energy model, based on the designed documentation and the actual indoor climate parameters recorded by the building management system. The results of the case study showed that the accuracy and reliability of the results presented by the dynamic energy model of the building directly depend on the assumptions. The correct values of the internal heat gains, indoor climate parameters, human behavior, air quality levels at different times of the day and season, HVAC system operation parameters and operation modes, specific fan powers of ventilation systems, the seasonal energy efficiency of cooling equipment and characteristics of sun protection measures have to be selected.

Author(s):  
Matti Kuittinen ◽  
Atsushi Takano

Purpose The purpose of this study is to investigate the energy efficiency and life cycle carbon footprint of temporary homes in Japan after the Great Eastern Tohoku Earthquake in 2011. Design/methodology/approach An energy simulation and life cycle assessment have been done for three alternative shelter models: prefabricated shelters, wooden log shelters and sea container shelters. Findings Shelter materials have a very high share of life cycle emissions because the use period of temporary homes is short. Wooden shelters perform best in the comparison. The clustering of shelters into longer buildings or on top of each other increases their energy efficiency considerably. Sea containers piled on top of each other have superb energy performance compared to other models, and they consume even less energy per household than the national average. However, there are several gaps of knowledge in the environmental assessment of temporary homes and field data from refugee camps should be collected as part of camp management. Originality/value The findings exemplify the impacts of the proper design of temporary homes for mitigating their energy demand and greenhouse gas emissions.


2019 ◽  
Vol 887 ◽  
pp. 335-343
Author(s):  
Nazanin Moazzen ◽  
Mustafa Erkan Karaguler ◽  
Touraj Ashrafian

Energy efficiency has become a crucial part of human life, which has an adverse impact on the social and economic development of any country. In Turkey, it is a critical issue especially in the construction sector due to increase in the dependency on the fuel demands. The energy consumption, which is used during the life cycle of a building, is a huge amount affected by the energy demand for material and building construction, HVAC and lighting systems, maintenance, equipment, and demolition. In general, the Life Cycle Energy (LCE) needs of the building can be summarised as the operational and embodied energy together with the energy use for demolition and recycling processes.Besides, schools alone are responsible for about 15% of the total energy consumption of the commercial building sector. To reduce the energy use and CO2 emission, the operational and embodied energy of the buildings must be minimised. Overall, it seems that choosing proper architectural measures for the envelope and using low emitting material can be a logical step for reducing operational and embodied energy consumptions.This paper is concentrated on the operating and embodied energy consumptions resulting from the application of different architectural measures through the building envelope. It proposes an educational building with low CO2 emission and proper energy performance in Turkey. To illustrate the method of the approach, this contribution illustrates a case study, which was performed on a representative schoold building in Istanbul, Turkey. Energy used for HVAC and lighting in the operating phase and the energy used for the manufacture of the materials are the most significant parts of embodied energy in the LCE analyses. This case study building’s primary energy consumption was calculated with the help of dynamic simulation tools, EnergyPlus and DesignBuilder. Then, different architectural energy efficiency measures were applied to the envelope of the case study building. Then, the influence of proposed actions on LCE consumption and Life Cycle CO2 (LCCO2) emissions were assessed according to the Life Cycle Assessment (LCA) method.


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3311
Author(s):  
Víctor Pérez-Andreu ◽  
Carolina Aparicio-Fernández ◽  
José-Luis Vivancos ◽  
Javier Cárcel-Carrasco

The number of buildings renovated following the introduction of European energy-efficiency policy represents a small number of buildings in Spain. So, the main Spanish building stock needs an urgent energy renovation. Using passive strategies is essential, and thermal characterization and predictive tests of the energy-efficiency improvements achieving acceptable levels of comfort for their users are urgently necessary. This study analyzes the energy performance and thermal comfort of the users in a typical Mediterranean dwelling house. A transient simulation has been used to acquire the scope of Spanish standards for its energy rehabilitation, taking into account standard comfort conditions. The work is based on thermal monitoring of the building and a numerical validated model developed in TRNSYS. Energy demands for different models have been calculated considering different passive constructive measures combined with real wind site conditions and the behavior of users related to natural ventilation. This methodology has given us the necessary information to decide the best solution in relation to energy demand and facility of implementation. The thermal comfort for different models is not directly related to energy demand and has allowed checking when and where the measures need to be done.


Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 156
Author(s):  
Paige Wenbin Tien ◽  
Shuangyu Wei ◽  
John Calautit

Because of extensive variations in occupancy patterns around office space environments and their use of electrical equipment, accurate occupants’ behaviour detection is valuable for reducing the building energy demand and carbon emissions. Using the collected occupancy information, building energy management system can automatically adjust the operation of heating, ventilation and air-conditioning (HVAC) systems to meet the actual demands in different conditioned spaces in real-time. Existing and commonly used ‘fixed’ schedules for HVAC systems are not sufficient and cannot adjust based on the dynamic changes in building environments. This study proposes a vision-based occupancy and equipment usage detection method based on deep learning for demand-driven control systems. A model based on region-based convolutional neural network (R-CNN) was developed, trained and deployed to a camera for real-time detection of occupancy activities and equipment usage. Experiments tests within a case study office room suggested an overall accuracy of 97.32% and 80.80%. In order to predict the energy savings that can be attained using the proposed approach, the case study building was simulated. The simulation results revealed that the heat gains could be over or under predicted when using static or fixed profiles. Based on the set conditions, the equipment and occupancy gains were 65.75% and 32.74% lower when using the deep learning approach. Overall, the study showed the capabilities of the proposed approach in detecting and recognising multiple occupants’ activities and equipment usage and providing an alternative to estimate the internal heat emissions.


2020 ◽  
Vol 215 ◽  
pp. 109887 ◽  
Author(s):  
Simon Moeller ◽  
Ines Weber ◽  
Franz Schröder ◽  
Amelie Bauer ◽  
Hannes Harter

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1309 ◽  
Author(s):  
Tomasz Szul ◽  
Stanisław Kokoszka

In many regions, the heat used for space heating is a basic item in the energy balance of a building and significantly affects its operating costs. The accuracy of the assessment of heat consumption in an existing building and the determination of the main components of heat loss depends to a large extent on whether the energy efficiency improvement targets set in the thermal upgrading project are achieved. A frequent problem in the case of energy calculations is the lack of complete architectural and construction documentation of the analyzed objects. Therefore, there is a need to search for methods that will be suitable for a quick technical analysis of measures taken to improve energy efficiency in existing buildings. These methods should have satisfactory results in predicting energy consumption where the input is limited, inaccurate, or uncertain. Therefore, the aim of this work was to test the usefulness of a model based on Rough Set Theory (RST) for estimating the thermal energy consumption of buildings undergoing an energy renovation. The research was carried out on a group of 109 thermally improved residential buildings, for which energy performance was based on actual energy consumption before and after thermal modernization. Specific sets of important variables characterizing the examined buildings were distinguished. The groups of variables were used to estimate energy consumption in such a way as to obtain a compromise between the effort of obtaining them and the quality of the forecast. This has allowed the construction of a prediction model that allows the use of a fast, relatively simple procedure to estimate the final energy demand rate for heating buildings.


Author(s):  
Owen Betharte ◽  
Hamidreza Najafi ◽  
Troy Nguyen

The growing world-wide energy demand and environmental considerations have attracted immense attention in building energy efficiency. Climate zone plays a major role in the process of decision making for energy efficiency projects. In the present paper, an office building located in Melbourne, FL is considered. The building is built in 1961 and the goal is to identify and prioritize the potential energy saving opportunities and retrofit the existing building into a Net-Zero Energy Building (NZEB). An energy assessment is performed and a baseline model is developed using eQUEST to simulate the energy performance of the building. Several possible energy efficiency improvement scenarios are considered and assessed through simulation including improving insulation on the walls and roof, replacing HVAC units and upgrade their control strategies, use of high efficiency lighting, and more. Selected energy efficiency improvement recommendations are implemented on the building model to achieve the lowest energy consumption. It is considered that photovoltaic (PV) panels will be used to supply the energy demand of the building. Simulations are also performed to determine the number of required PV panels and associated cost of the system is estimated. The results from this paper can help with the decision making regarding retrofit projects for NZEB in humid subtropical climate.


2018 ◽  
Vol 10 (11) ◽  
pp. 4297 ◽  
Author(s):  
Hyunjoo Lee ◽  
Misuk Lee ◽  
Sesil Lim

Disclosing the energy performance information for buildings has been expected to become an important policy for controlling energy demand and reducing CO2 emissions, but its effectiveness remains controversial. This study investigates the effect of energy performance information on consumer residential choice by using a discrete choice experiment in South Korea. The estimation results confirmed that the energy efficiency level of the given housing has a significant effect on consumer residential choice when the related information is actually delivered. Combined with evidence from the simulation study, we suggest that obligating the owners to provide energy performance information to potential buyers/tenants would be necessary for enhancing the use of the information during the consumer decision-making process. Additionally, the simulation result implies that the effectiveness of the policy can be underestimated by the price premium related to energy efficiency. Therefore, we suggest that the government should control the price premium for high-efficiency buildings at the early stage so that the policy related to disclosing the energy performance can be on track.


2020 ◽  
Vol 10 (7) ◽  
pp. 2233
Author(s):  
Antón Cacabelos-Reyes ◽  
José Luis López-González ◽  
Arturo González-Gil ◽  
Lara Febrero-Garrido ◽  
Pablo Eguía-Oller ◽  
...  

Hospital surgical suites are high consumers of energy due to the strict indoor air quality (IAQ) conditions. However, by varying the ventilation strategies, the potential for energy savings is great, particularly during periods without activity. In addition, there is no international consensus on the ventilation and hygrothermal requirements for surgical areas. In this work, a dynamic energy model of a surgical suite of a Spanish hospital is developed. This energy model is calibrated and validated with experimental data collected during real operation. The model is used to simulate the yearly energy performance of the surgical suite under different ventilation scenarios. The common issue in the studied ventilation strategies is that the hygrothermal conditions ranges are extended during off-use hours. The maximum savings obtained are around 70% of the energy demand without compromising the safety and health of patients and medical staff, as the study complies with current heating, ventilation and air conditioning (HVAC) regulations.


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