Showing papers in "Energy and Buildings in 2016"

TL;DR: In this paper, a brief overview of building energy-consumption situations, relevant energy-saving approaches, and the influence of global climate change is presented, along with some suggestions for further developing ZEBs.

TL;DR: In this article, the authors present an overview of different phase change materials (PCM) applications in buildings for reducing cooling loads under different climate conditions, and the factors affecting the successful and the effective use of the PCM.

TL;DR: Interestingly, using only one predictor (temperature) the LDA model was able to estimate the occupancy with accuracies of 85% and 83% in the two testing sets.

TL;DR: In this paper, the authors introduced the most recent advances and current obstacles in modeling occupant behavior and quantifying its impact on building energy use, including advancements in data collection techniques, analytical and modeling methods, and simulation applications which provide insights into behavior energy savings potential and impact.

TL;DR: In this article, the authors evaluated different UHI mitigation strategies in different urban neighbors of Toronto, selected according to their building density, and evaluated the effects of cool surfaces (on the roofs, on the street pavements or as vegetation areas) through numerical simulations using the software ENVI-met.

TL;DR: In this paper, the authors present and discuss the details of the framework which defines the present and future cooling energy consumption of the building sector, while existing estimates and predictions regarding the future cooling consumption of individual buildings as well as of the total building sector are documented, evaluated and analyzed.

TL;DR: In this paper, two site-specific design strategies for tree planting in the urban environment are proposed and evaluated in the neighbourhood scale in two climate-sensitive areas with different urban morphologies.

TL;DR: In this article, the authors provide a selective representation of the research on the development and evaluation of mitigation measures, including: cool roofs, cool pavements, and urban vegetation, to counter the effects of summertime UHI.

TL;DR: In this paper, the authors presented a data-driven forecasting model for day-ahead electricity usage of buildings in 15-minute resolution by using variable importance analysis and selected key variables: day type indicator, time-of-day, HVAC set temperature schedule, outdoor air dry-bulb temperature, and outdoor humidity as the most important predictors for electricity consumption.

TL;DR: The paper provides a comprehensive understanding of available technologies for energy metering and environmental monitoring; their drivers, advantages and limitations; factors affecting their selection and future directions of research and development – for use for generating further interest in this expanding research area.

TL;DR: A generic architecture for demand side management (DSM) which integrates residential area domain with smart area domain via wide area network and performs more efficiently than BPSO based energy management controller and ACO basedEnergy management controller in terms of electricity bill reduction, peak to average ratio minimization and user comfort level maximization.

TL;DR: In this paper, the authors propose a fit-for-purpose model, in which the most appropriate model for a specific case is characterized by the lowest complexity, while preserving its validity with respect to the aim of the simulation.

TL;DR: In this article, a reflective approach is adopted in analyzing the reviews on the impact of indoor air quality on humans over the last 30 years (1986-2016) and the major findings reiterate the concerns of indoor pollution (IAP) and provide a deeper understanding of how contaminants contribute to, and interact to accentuate the adverse effects on humans.

TL;DR: In this paper, the benefits of green roofs on the local microclimate and the building energy saving resulting from green roof retrofits are investigated in a case study located in a university campus in Toronto, Canada.

TL;DR: In this article, the authors presented a methodology to forecast diurnal cooling load energy consumption for institutional buildings using data driven techniques using Artificial Neural Networks (ANN) and showed that the ANN is able to predict the next day energy use based on five previous days' data with good accuracy.

TL;DR: Performance of seven commonly-used multi-objective evolutionary optimization algorithms in solving the design problem of a nearly zero energy building (nZEB) where more than 1.610 solutions would be possible is compared.

TL;DR: Comparing the proposed differential evolution algorithm with other evolutionary algorithms show that the proposed model yields higher accuracy for building energy consumption forecasting.

TL;DR: The City Energy Analyzer (CEA) as discussed by the authors is a computational framework for the analysis and optimization of energy systems in neighborhoods and city districts, which integrates time-dependent methods for building energy performance simulation, conversion and storage technologies simulation, assessment of local energy potentials, bi-level energy systems optimization and multi-criteria analysis.

TL;DR: In this article, the authors quantified cooling effects of facade greenings for the building and the street canyon and distinguished between transpiration and shading effects, and concluded that greening can be an effective strategy to mitigate indoor heat stress as long as the plants are sufficiently irrigated with up to 2.5 Lm−m−2d−1 per wall area.

TL;DR: In this paper, a full review on the development of solar photovoltaic technology for building integration and design is presented, highlighting the classification of solar PV cell and BIPV product for building design purpose.

TL;DR: In this paper, a simulation-based model predictive control (MPC) procedure, consisting of the multi-objective optimization of operating cost for space conditioning and thermal comfort, is proposed.

TL;DR: In this article, the energy performance of the average buildings is calculated in a standardised way to form simplified housing stock models in the context of inhomogeneous building stocks of European countries.

TL;DR: In this article, the authors presented the results from the monitoring activity of buildings from a field test, located in Southern Germany, and identified the energy performance gap for each refurbishment solution with values up to 287% based on calculated savings.

TL;DR: In this paper, a mixed integer linear programming (MILP) model for determining the optimal capacity and operation of seven combined cooling, heating and power (CCHP) systems in the heating and cooling network of a residential district (Shahid Beheshti Town) located in east of Tehran is presented.

TL;DR: In this paper, an extensive literature survey was conducted to aggregate the green cost premiums which were reported as results of published empirical studies that investigated the cost premium associated with the green building.

TL;DR: This paper presents a data driven approach for analysing energy consumption in buildings with real-time information about energy production, distribution and consumption.

TL;DR: In this article, the authors reviewed the techniques and modeling methodologies in buildings and listed the pros and cons for further consideration for the application in institutional buildings, where the large occupancy number and the very high occupancy variation will pose a higher challenging for occupancy number counting and modeling.

TL;DR: Wang et al. as mentioned in this paper investigated the effects of four important microclimate parameters on outdoor thermal sensation and neutral temperature, and found that the variation in outdoor micro-climate parameters led to the biggest change of outdoor neutral temperature in winter.

TL;DR: A comprehensive review of occupancy-based model predictive control (MPC) for building indoor climate control is presented in this paper, where the authors present a holistic overview of MPC for building heating, ventilation, and air conditioning (HVAC) systems, and discuss current status and future challenges.

TL;DR: In this article, the potential of using PCM-enhanced gypsum boards in lightweight buildings to increase the energy performance during both heating and cooling seasons in arid and warm temperate main climate areas.