Showing papers in "Energy and Buildings in 2012"

TL;DR: In this paper, the authors investigated how ModelPredictive control and weatherpredictions can increase the energy efficiency in Integrated Room Automation (IRA) while respecting occupant comfort.

TL;DR: In this article, the authors provide a systematic approach to proper selection and identification of the best retrofit options for existing buildings and provide a better understanding of how to effectively conduct a building retrofit to promote energy conservation and sustainability.

TL;DR: In this article, the work presented in this paper has been largely developed in the context of the joint IEA SHC Task40/ECBCS Annex52: Towards Net Zero Energy Solar Buildings.

TL;DR: In this article, a statistical machine learning framework was developed to study the effect of eight input variables (relative compactness, surface area, wall area, roof area, overall height, orientation, glazing area, etc.) on two output variables, namely heating load (HL) and cooling load (CL), of residential buildings.

TL;DR: In this article, the authors present a scalable, probabilistic methodology that can support large scale investments in energy retrofit of buildings while accounting for uncertainty, based on Bayesian calibration of normative energy models.

TL;DR: In this paper, a multi-objective optimization model is presented to assist stakeholders in the definition of intervention measures aimed at minimizing the energy use in the building in a cost effective manner, while satisfying the occupant needs and requirements.

TL;DR: In this paper, a discrete model-based predictive control methodology is applied, consisting of three major components: the predictive models, implemented by radial basis function neural networks identified by means of a multi-objective genetic algorithm; the cost function that will be optimised to minimise energy consumption and maintain thermal comfort; and the optimisation method, a discrete branch and bound approach.

TL;DR: In this article, the authors estimate the building sector energy end-use intensity (kwh/m2 floor area) for space heating, domestic hot water, electricity for space cooling and electricity for non-space cooling applications in New York City.

TL;DR: In this article, the authors present an energy-oriented software tool that both accommodates the Egyptian context and provides informative support that aims to facilitate decision-making of zero energy buildings.

TL;DR: In this paper, the authors presented a numerical comparative analysis between the two technologies, taking into account the several parameters that affect the final energy performances, including structural requirements, initial and lifetime maintenance costs, impact on the overall energy performance of buildings.

TL;DR: In this paper, the authors quantify the embodied energy of modular prefabricated steel and timber multi-residential buildings in order to determine whether this form of construction provides improved environmental performance over conventional concrete construction methods.

TL;DR: In this paper, the authors examined the influence of dwelling and occupant characteristics on domestic electricity consumption patterns by analysing data obtained from a smart metering survey of a representative cross section of approximately 4200 domestic Irish dwellings.

TL;DR: Evaluation of seven different machine learning algorithms applied to a new residential data set that contains sensor measurements collected every 15 min, with the objective of determining which techniques are most successful for predicting next hour residential building consumption.

TL;DR: In this article, the authors present an overall review on the state of the art of the research and applications of quantitative energy performance assessment, and a framework is proposed for categorizing the energy quantification methods and performance benchmarking methods for energy performance assessing for existing buildings, i.e., the calculation-based, measurement-based and hybrid methods, according to the energy data acquisition approaches.

TL;DR: In this article, the authors presented the results of a computational study on the energy consumption and related CO2 emissions for heating and cooling of an office building within the Urban Heat Island of London, currently and in the future.

TL;DR: In this paper, the authors review the status of cool roofs and pavements technologies, policies, and programs in the U.S., Europe, and Asia, and propose an international campaign to use solar reflective materials when roofs and paving materials are built or resurfaced in temperate and tropical regions.

TL;DR: In this article, the authors investigated how and where phase change materials (PCMs) are used in the cooling systems, how are these systems related to buildings, if they provide lower energy consumption, how the indoor temperatures change due to PCMs and if the indoor air conditions improve.

TL;DR: In this paper, the authors present the results of an outdoor thermal comfort study conducted in Hong Kong and reveal that air temperature, wind speed and solar radiation intensity are influential factors in determining the thermal sensation of people outdoor.

TL;DR: In this article, the effect of passive heat wave mitigating interventions for UK dwellings is investigated using dynamic thermal simulation to model the effect on passive heat-wave mitigating interventions such as solar shading, insulation, and ventilation.

TL;DR: In this paper, the authors presented the modeling, simulation, and sizing results of battery energy storage systems for residential electricity peak shaving, with the objective of reducing the peak electricity demand seen by the electricity grid.

TL;DR: In this paper, an analytical meta-model is fit to this data and optimization can be performed using different opti- mization cost functions or optimization algorithms with very little computational effort, which is the state-of-the-art.

TL;DR: In this article, a comprehensive sensitivity analysis study performed on the occupancy behavioral parameters of typical office buildings of different size and in different weather zones is presented. But none considered the parameters related to the energy consumption behavior of occupants, leaving their impact on energy modeling unknown.

TL;DR: In this paper, the authors present the measurements of complete sets of heat and moisture transport and storage parameters of selected thermal insulation materials in dependence on moisture content, such as hydrophobic mineral wool and expanded polystyrene.

TL;DR: The adaptive approach to thermal comfort has gained unprecedented exposure and rising status recently among the thermal comfort community at the apparent expense of the heat balance approach for the evaluation of naturally ventilated buildings as discussed by the authors.

TL;DR: In this article, the authors proposed a new method to measure activity, using WiFi connections as a proxy for human occupancy, and compared data on the number of WiFi connections and energy consumption (electricity, steam and chilled water) for two buildings within the Massachusetts Institute of Technology's campus.

TL;DR: In this paper, an experimental configuration of an external shading device can be applied to apartment houses in South Korea in order to increase daylight levels while controlling the amount of excessive sunlight and reducing discomfort and glare for the occupants.

TL;DR: In this paper, the authors present a methodology based on information that is already available on building stock (i.e., cartographic documentation, thematic maps, geometric data and others) to measure the energy performance of buildings in a medium sized town in the Lombardy region (Italy).

TL;DR: In this paper, a life-cycle impact assessment (LCIA) model has been implemented for a Portuguese single-family house and the results indicate the wood-wall is the preferable solution.

TL;DR: In this article, the authors present findings from thermal comfort surveys and measurements of indoor environmental variables in naturally ventilated classrooms in Hampshire, England, and compare the results with the two common approaches used in existing comfort standards, the heat balance and the adaptive comfort model.

TL;DR: In this article, the authors discuss building energy models and their accuracy in predicting energy use, focusing on the different types of validation methods used to investigate the accuracy of building energy model and how they account for (or do not) the effects of occupants.