Showing papers in "Energy and Buildings in 2014"

TL;DR: A detailed literature review of ground-source heat pump (GSHP) systems, and their recent advances is provided in this paper, where the operation principle and energy efficiency of a heat pump are defined.

TL;DR: In this paper, the authors collected, analyzed and classified existing knowledge regarding the energy impact of urban heating to buildings and calculated preliminary indicators and impact figures, based on the analysis of the impact studies, they found that in average the cooling load of typical urban buildings is by 13% higher compared to similar buildings in rural areas.

TL;DR: In this paper, a multi-objective optimization model using genetic algorithm (GA) and artificial neural network (ANN) is presented to quantitatively assess technology choices in a building retrofit project.

TL;DR: In this paper, the energy performance of buildings was estimated using various data mining techniques, including support vector regression (SVR), artificial neural network (ANN), classification and regression tree, chi-squared automatic interaction detector, general linear regression, and ensemble inference model.

TL;DR: In this paper, the thermal conductivity of oil palm shell foamed geopolymer concrete (OPSFGC) was investigated and compared with conventional wall materials, such as block and brick.

TL;DR: In this article, a Global Model Based Anticipative Building Energy Management System (GMBA-BEMS) is proposed to optimize a compromise between user comfort and energy cost taking into account occupant expectations and physical constraints like energy price and power limitations.

TL;DR: In this article, the authors used the HadCM3 Global Circulation Model (GCM) to generate weather data for future typical meteorological years, such as 2020, 2050, and 2080, for 15 cities in the U.S. through EnergyPlus simulations and provide weighted averaged results for nationalwide building stock.

TL;DR: In this paper, the authors developed an indirect data mining approach using office appliance power consumption data to learn the occupant "passive" behavior in a medium office building, where the average percentage of correctly classified individual behavior instances is 90.29%.

TL;DR: In this paper, the use of a new material composed with natural cement, sand and date palm fibers (DPF) for insulating building materials is investigated. And the results reveal that the incorporation of DPF reduces the thermal conductivity and the compressive strength of the composite while reducing the weight for a DPF loading lower than 15%.

TL;DR: In this paper, a triplex tube heat exchanger with internal and external fins was used as thermal energy storage, and the authors investigated the charging process under steady and nonsteady heat transfer fluid (HTF) inlet temperature and the influence of the mass flow rates on the PCM melting.

TL;DR: In this article, the authors proposed a robust model predictive control (RMPC) formulation to make a building controller robust to model uncertainties and compared it with a nominal MPC and a common building rule based control.

TL;DR: This study shows that DM techniques are valuable for knowledge discovery in BAS database; however, solid domain knowledge is still needed to apply the knowledge discovered to achieve better building operational performance.

TL;DR: In this article, a systematic review of existing fault detection and diagnosis (FDD) methods for an air-handling unit (AHU) is provided, which inspires new approaches with high performance in reality.

TL;DR: In this article, a bottom-up statistical methodology based on a Geographical Information System (GIS) to estimate the energy consumption of residential stocks across an entire city is introduced.

TL;DR: In this paper, the authors evaluate the environmental impacts and the consumption of renewable and non-renewable primary energy on the production of conventional thermal insulation materials: extruded and expanded polystyrene, polyurethane, expanded cork agglomerate and expanded clay lightweight aggregates.

TL;DR: In this paper, a combined Wavelet-PCA method is developed and tested using site-data, which is more robust to the internal load change and weather impact and generate no false alarms.

TL;DR: In this article, the authors combine the use of TRNSYS, dynamic energy simulation software, with GenOpt, Generic Optimization program to find the cost-optimal level for the French single-family building typology, while providing an effective method to deal with a huge number of simulations corresponding to a large number of building configurations.

TL;DR: In this article, a solar drying system was designed, constructed and tested for drying of seaweed, and the results showed a better fit to the experimental data between Newton's model and Henderson and Pabis model.

TL;DR: In this paper, the authors demonstrate the energy partition at the ground surface, with focuses on the sensible heat releasing from the pavement surface, and compared to that at an irrigated grass surface.

TL;DR: In this paper, two models for estimating small power consumption in office buildings, alongside typical power demand profiles, were proposed, one relying solely on the random sampling of monitored data, and the second relying on a bottom-up approach to establish likely power demand and operational energy use.

TL;DR: In this article, the authors present a framework that integrates building occupants' personalized thermal profiles into the HVAC control logic, enabling occupants to communicate their preferences for indoor thermal conditions through a user interface, leveraging a participatory sensing approach.

TL;DR: In this paper, the performance of a flat plate PVT collector being part of a solar thermal system in a building is compared to that of standard solar devices (i.e., solar thermal collector and PV panel) through simulations using TRNSYS.

TL;DR: In this article, an investigation of drivers for occupant space-heating operation has a significant influence on the energy consumption of residential buildings in winter, and the authors concluded that future behavioural studies into the drivers discussed in this paper are needed to gain a better understanding and quantification of the impact of these factors on building energy use.

TL;DR: In this article, the authors compared several lumped-parameter thermal models of a passive house with an integrated photovoltaic system to evaluate the model complexity needed to capture the basic thermal behavior of the entire building.

TL;DR: In this article, the authors surveyed common usages of the term "rebound effect" in domestic heating, identifying three main metrics, which employ different mathematical forms and therefore give different results, but are often lumped together.

TL;DR: In this paper, the authors identify grey-box models of increasing complexity on results from simulations with a detailed physical model, deployed in the integrated district energy assessment simulation (IDEAS) package in Modelica.

TL;DR: In this article, three grades of diatomite particles, DP1, DP2 and DP3, were used to produce phase change material composites, DP 1P, DP 2P and DP 3P.

TL;DR: A new model to predict and quantify energy consumption in commercial buildings in the early stages of building design by considered building materials, their thickness, building shape, and occupant schedule as design variables since building energy performance is sensitive to these variables.

TL;DR: In this article, the authors considered possible office building fenestration design solutions which take into account both energy efficiency and cost optimality, and proposed design guidelines for high performance office building facades.