Showing papers in "Energy and Buildings in 2013"
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TL;DR: In this paper, the authors explore how and where phase change materials (PCMs) are used in passive latent heat thermal energy storage (LHTES) systems, and present an overview of how these construction solutions are related to building's energy performance.
817 citations
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TL;DR: In this article, the authors investigated greenhouse heating by biogas, solar and ground energy in Elazig, Turkey climate conditions, and the greenhouse was constructed and the required heating load of greenhouse was determined.
728 citations
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TL;DR: A novel survey of prominent international intelligent buildings research efforts with the theme of energy saving and user activity recognition is provided, determining the most valuable activities and behaviours and their impact on energy saving potential for each of the three main subsystems, i.e., HVAC, light, and plug loads.
658 citations
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TL;DR: In this paper, the authors take a retrospective approach to critically review the relationship between embodied and operational emissions over the lifecycle of buildings and highlight and demonstrate the increasing proportion of embodied emissions that is one consequence of efforts to decrease operational emissions.
394 citations
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TL;DR: In this paper, a simulation-based optimization method was used to find the cost-optimal and nZEB energy performance levels for a study case of a single-family house in Finland, where different options of building envelope parameters, heat-recovery units, and heating/cooling systems as well as various sizes of thermal and photovoltaic solar systems were explored as design options via three-stage optimization.
373 citations
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TL;DR: In this article, the authors present a review of state-of-the-art passive cooling dissipation techniques in the built environment and their contribution in the improvement of indoor environmental quality as well as in the reduction of cooling needs.
371 citations
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TL;DR: In this article, a review of phase change material (PCM) technologies tailored for building applications is presented with respect to technological potential to improve indoor environment, increase thermal inertia and decrease energy use for building operation.
367 citations
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TL;DR: The findings indicate a breakthrough in using evolutionary algorithms in solving highly constrained envelope, HVAC and renewable optimization problems and some future directions anticipated or needed for improvement of current tools are presented.
360 citations
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TL;DR: In this paper, the authors investigated the differences of GHG emissions between prefabrication and conventional construction methods and established a quantitative model using a process-based method, which showed that the semi-prefabrication method produces less GHGs emissions per square meter compared with the conventional construction, with the former producing 336 kg/m2 and the latter generating 368 kg /m2.
342 citations
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TL;DR: In this paper, a novel ant colony optimization (ACO)-based MPPT scheme for photovoltaic (PV) systems is presented. And a new control scheme is also introduced based on the proposed MPPT method.
307 citations
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TL;DR: In this paper, the authors provide an overview of identification methods for buildings and analyze their applicability for subsequent predictive control, and propose a new methodology to obtain a model suitable for the use in a predictive control framework combining the building energy performance simulation tools and statistical identification.
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TL;DR: In this article, the authors investigated the use of phase-change materials (PCM) to maintain the temperature of the panels close to ambient, and showed that adding a PCM on the back of a solar panel can maintain the panel's operating temperature under 40°C for 80min under a constant solar radiation of 1000 W/m2.
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TL;DR: In this article, the authors applied Life Cycle Assessment (LCA) on three conventional Italian buildings and found that the operation phase has the greatest contribution to the total impact, whereas the impact of the construction phase ranges from about 14% (office building) to 21% (detached house).
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TL;DR: ANNs can be used to predict energy consumption more reliably than traditional simulation models and regression techniques, and are testimony to the potential of artificial neural networks as a design tool in many areas of building services engineering.
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TL;DR: A detailed review of different solar refrigeration and cooling methods is provided in this article, where theoretical basis and practical applications for cooling systems within various working fluids assisted by solar energy and their recent advances are presented.
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TL;DR: In this paper, the analysis of occupancy sensor data for a large commercial, multi-tenant office building is presented, where occupancy diversity factors for private offices and summarizes the same for open offices, hallways, conference rooms, break rooms, and restrooms in order to better inform energy simulation parameters.
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TL;DR: In this article, the results for the three moderate climate locations Germany, Italy and Turkey show that while indoor air quality can be easily maintained for all opening typologies, the summer cooling potential and thermal comfort strongly depends on the natural ventilation strategy.
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TL;DR: In this article, the authors proposed a model to predict the heating energy demand, based on the main factors that influence a building's heat consumption, such as the building global heat loss coefficient (G ), the south equivalent surface (SES), and the difference between the indoor set point temperature and the sol-air temperature.
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TL;DR: In this paper, the authors proposed a cost and energy efficient model predictive control (MPC) strategy for HVAC load control under dynamic real-time electricity pricing, which is built on a proposed model that jointly minimizes the total energy consumption and hence, cost of electricity for the user, and the deviation of the inside temperature from the consumer's preference.
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TL;DR: In this article, the authors examined the 2011 energy consumption, green house gas (GHG) emission, and ENERGY STAR Energy Performance Rating (EPR) data for 953 office buildings in New York City.
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TL;DR: In this article, the compressive strength and capillary water absorption of Cement Mortars containing fly ash (FA) were investigated using nano-SiO 2 (NS), nano-Al 2 O 3 (NA) and nano-Fe 2 O 4 (NF) powders and their binary and ternary combinations.
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TL;DR: In this paper, a three-layer Diagnostic Bayesian Network (DBN) is developed to diagnose chiller faults based on the Bayesian belief network (BBN) theory.
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TL;DR: In this article, the authors compared the hygroscopic behavior of three hemp concretes used for building walls to identify whether composition and manufacturing have an impact on hygric properties.
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TL;DR: In this article, a multi-agent based intelligent control system is developed for achieving effective energy and comfort management in a building environment, which turns out to be capable of facilitating the building to interact with its occupants for realizing user-centered control of buildings.
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TL;DR: In this paper, a comparative assessment of internal versus external thermal insulation systems for energy efficient retrofitting of residential buildings is performed by means of detailed numerical simulations, where both external and internal thermal insulation configurations are found to significantly reduce the total energy requirements; on average, external insulation outperforms the internal insulation configuration by 8%.
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ENEA1
TL;DR: In this article, the authors report the results of a large application in an office/laboratory building belonging to a school campus in Trapani, on the west coast of Sicily.
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TL;DR: In this paper, the authors present key energy use figures and explore the energy saving potentials in office buildings across Europe by simulating several currently available scenarios, regardless of the location of the office building, the energy savings were achieved with already existing technology and brought important reductions in the overall energy bill.
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TL;DR: In this paper, a range of windows as part of a building where the coupled effects of incident solar radiation and thermal transmission heat losses are accounted for in terms of a net energy balance for the various solutions.
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TL;DR: In this article, the classical decision theories of Wald, Savage, and Hurwicz are used to perform non-probabilistic optimisation under both technical and economic uncertainty.
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TL;DR: Wang et al. as discussed by the authors explored the impact of occupants on residential energy consumption in China and found that occupant age is a more significant factor than income, while household socio-economic and behavior variables are able to explain 28.8% of variation in heating and cooling energy consumption.