scholarly journals Device-level plug load disaggregation in a zero energy office building and opportunities for energy savings

2019 ◽  
Vol 204 ◽  
pp. 109480 ◽  
Author(s):  
Bennett Doherty ◽  
Kim Trenbath
Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 895 ◽  
Author(s):  
Ilaria Ballarini ◽  
Giovanna De Luca ◽  
Argun Paragamyan ◽  
Anna Pellegrino ◽  
Vincenzo Corrado

Directive 2010/31/EU promotes the refurbishment of existing buildings to change them into nearly zero-energy buildings (nZEBs). Within this framework, it is of crucial importance to guarantee the best trade-off between energy performance and indoor environmental quality (IEQ). The implications of a global refurbishment scenario on thermal and visual comfort are assessed in this paper pertaining to an existing office building. The retrofit actions applied to achieve the nZEB target consist of a combination of envelope and technical building systems refurbishment measures, involving both HVAC and lighting. Energy and comfort calculations were carried out through dynamic simulation using Energy Plus and DIVA, for the thermal and visual performance assessments, respectively. The results point out that energy retrofit actions on the building envelope would lead to significant improvements in the thermal performance, regarding both energy savings (−37% of the annual primary energy for heating) and thermal comfort. However, a daylighting reduction would occur with a consequent higher electricity demand for lighting (36%). The research presents a detailed approach applicable to further analyses aimed at optimizing the energy efficiency measures in order to reduce the imbalance between visual and thermal comfort and to ensure the best performance in both domains.


2013 ◽  
Vol 56 ◽  
pp. 210-220 ◽  
Author(s):  
George Ban-Weiss ◽  
Craig Wray ◽  
Woody Delp ◽  
Peter Ly ◽  
Hashem Akbari ◽  
...  

Author(s):  
Moncef Krarti

This paper analyzes the impact of roof covers on office building energy use for representative US climate zones. In particular, the study presented in the paper investigates the potential annual cooling energy use savings that roof covers could provide using whole-building simulation analysis to evaluate the performance of a 2-story office building in five US locations. Three parameters of the roof covers including their size, height, and transmittance, are considered in the analysis. The simulation results indicate that while roof covers had similar affects on buildings in all climate zones, their impact in reducing cooling energy usage is different and is more pronounced in cooler climates. Specifically, roof covers could potentially achieve cooling energy savings of up to: 25% in Houston, 33% in Atlanta, 31% in Nashville, 38% in Chicago, and 41% in Madison. Based on the detailed simulation analysis results, a simplified calculation model is developed to help the estimation of cooling energy savings as a function of the roof cover size, height, and transmittance.


Solar Energy ◽  
2005 ◽  
Author(s):  
Abdelkarim Nemri ◽  
Moncef Krarti

This paper provides a simplified analysis tool to assess the energy saving potential of daylighting for commercial buildings through skylights. Specifically, the impact of daylighting is investigated for various fenestration opening sizes, glazing types, control strategies, and geographic locations. A top floor of a prototypical office building has been considered in the analysis. The results obtained for the office building can be applied to other types of buildings such as retails stores, schools, and warehouses. Based on the simulation analysis results, it was determined that skylight to floor ratio more than 0.3 does not affect significantly the lighting energy savings. An optimum value of skylight to floor area ratio was found to be 0.2 to minimize the annual total building energy use.


Electronics ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 33 ◽  
Author(s):  
George K. Adam ◽  
Panagiotis A. Kontaxis ◽  
Lambros T. Doulos ◽  
Evangelos-Nikolaos D. Madias ◽  
Constantinos A. Bouroussis ◽  
...  

Although with the advent of the LEDs the energy consumption in buildings can be reduced by 50%, there exists a potential for energy savings due to lighting controls. Moreover, lighting controls can ensure that the near zero energy requirements by EU can be achieved for near zero energy buildings (nZEBs). For this reason, more sophisticated lighting controls must be proposed in order to take full advantage of LEDs and their flexibility concerning dimming. This paper proposes the architecture of an embedded computer camera controller for monitoring and management of image data, which is applied in various control cases, and particularly in digitally controlled lighting devices. The proposed system deals with real-time monitoring and management of a GigE camera input. An in-house developed algorithm using MATLAB enables the identification of areas in luminance values. The embedded microcontroller is part of a complete lighting control system with an imaging sensor in order to measure and control the illumination of several working areas of a room. The power consumption of the proposed lighting system was measured and was compared with the power consumption of a typical photosensor. The functional performance and operation of the proposed camera control system architecture was evaluated based upon a BeagleBone Black microcontroller board.


Author(s):  
Yin Hang ◽  
Ming Qu

Buildings are responsible for 41% of the primary energy use in the United States. Due to the negative environmental impact from fossil fuel, people are trying to use renewable energy resources to provide energy to the buildings. Integrated solar absorption cooling and heating (SACH) technology can be one of the promising solutions to this issue. Due to the nature of solar energy, integrated SACH has many drawbacks, such as discontinuity of generation, thus backup system driven by fossil fuel should be included to the system configuration as well. Therefore, optimization is highly required during the design stage. This paper presents the development of a method to optimize an integrated SACH system. Regression analysis is used to identify the relationship between the life cycle primary energy savings (PES) and the system factors according to the data provided by experiments. In order to obtain an accurate model to estimate the problem using small number of experimental trials, the method of central composite design (CCD) from design of experiments (DE) is used as a key technique. The experimental trials are conducted in TRaNsient SYstems Simulation (TRNSYS). Finally, the optimization problem is formulated and solved by including the model as the objective function and the physical constraints of the system factors. A case study was conducted to apply this optimization method to the design of an integrated SACH system installed in a medium-sized office building in Los Angeles.


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