Search Results - "Energy and buildings"

Recent progress on urban overheating and heat island research. Integrated assessment of the energy, environmental, vulnerability and health impact. Synergies with the global climate change by Santamouris, M.

“…•Urban Overheating affects energy generation and demand, pollution, health and vulnerability.•It increases the energy demand for cooling and decreases the…”
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Review of 50 years of EU energy efficiency policies for buildings by Economidou, M., Todeschi, V., Bertoldi, P., D'Agostino, D., Zangheri, P., Castellazzi, L.

“…•EU policy efforts on energy efficiency in buildings stared in the 1970s in response to the oil crisis.•The first comprehensive EU policy was the SAVE…”
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Assessment of the renewable energy generation towards net-zero energy buildings: A review by Ahmed, Asam, Ge, Tianshu, Peng, Jinqing, Yan, Wei-Cheng, Tee, Boon Tuan, You, Siming

“…[Display omitted] •Classifications and strategies of NZEBs were reviewed.•Multi-criteria analysis supports NZEB designing.•Renewable energy supply options for…”
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Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption by Ahmad, Muhammad Waseem, Mourshed, Monjur, Rezgui, Yacine

“…•Developed machine learning models for HVAC electricity consumption prediction.•Compared the performance of feed-forward back-propagation artificial neural…”
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A review of the-state-of-the-art in data-driven approaches for building energy prediction by Sun, Ying, Haghighat, Fariborz, Fung, Benjamin C.M.

“…•The review focus on developing data-driven models for building energy prediction.•Seven feature types and five feature extraction methods are…”
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A critical review on phase change materials (PCM) for sustainable and energy efficient building: Design, characteristic, performance and application by Wang, Xiaonan, Li, Wengui, Luo, Zhiyu, Wang, Kejin, Shah, Surendra P.

“…[Display omitted] •Organic PCM shows a appropriate phase change point considering the ambient temperature.•Shape stabilisation is the most prevailing…”
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Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review by Mirnaghi, Maryam Sadat, Haghighat, Fariborz

“…•Reviewing limitations of previous data-mining based FDD methods on HVAC systems.•Knowledge-based and model-based systems have limitations in complicated FDD…”
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Building energy-consumption status worldwide and the state-of-the-art technologies for zero-energy buildings during the past decade by Cao, Xiaodong, Dai, Xilei, Liu, Junjie

“…Energy consumption has dramatically increased in buildings over the past decade due to population growth, more time spent indoors, increased demand for…”
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Review of technological design options for building integrated photovoltaics (BIPV) by Kuhn, Tilmann E., Erban, Christof, Heinrich, Martin, Eisenlohr, Johannes, Ensslen, Frank, Neuhaus, Dirk Holger

“…This paper reviews and analyzes technological design options, which have become available to date for BIPV systems on roofs and facades, independently of…”
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Enhanced thermophysical properties of organic PCM through shape stabilization for thermal energy storage in buildings: A state of the art review by Rathore, Pushpendra Kumar Singh, Shukla, Shailendra Kumar

“…[Display omitted] •Shape stabilization of organic PCM is reviewed.•Various types of porous materials for shape stability of organic PCM.•Nanoparticles for…”
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Random Forest based hourly building energy prediction by Wang, Zeyu, Wang, Yueren, Zeng, Ruochen, Srinivasan, Ravi S., Ahrentzen, Sherry

“…Accurate building energy prediction plays an important role in improving the energy efficiency of buildings. This paper proposes a homogeneous ensemble…”
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State-of-the-art on research and applications of machine learning in the building life cycle by Hong, Tianzhen, Wang, Zhe, Luo, Xuan, Zhang, Wanni

“…•There are many studies using machine learning at various stages of building life cycle.•More studies explored machine learning for building design, operation,…”
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Phase change materials (PCM) for cooling applications in buildings: A review by Souayfane, Farah, Fardoun, Farouk, Biwole, Pascal-Henry

“…•PCM for cooling applications (active and passive systems).•Factors affecting PCM effectiveness.•Topology diagram summarizing PCM application. Cooling demand…”
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A review of smart building sensing system for better indoor environment control by Dong, Bing, Prakash, Vishnu, Feng, Fan, O'Neill, Zheng

“…•A systematic literature review on smart building sensing system was provided.•Key information about sensing case studies in the built environment was…”
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IEA EBC Annex 67 Energy Flexible Buildings by Jensen, Søren Østergaard, Marszal-Pomianowska, Anna, Lollini, Roberto, Pasut, Wilmer, Knotzer, Armin, Engelmann, Peter, Stafford, Anne, Reynders, Glenn

“…The increasing global energy demand, the foreseen reduction of available fossil fuels and the increasing evidence off global warming during the last decades…”
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Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system by Afram, Abdul, Janabi-Sharifi, Farrokh, Fung, Alan S., Raahemifar, Kaamran

“…In this paper, a comprehensive review of the artificial neural network (ANN) based model predictive control (MPC) system design is carried out followed by a…”
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Occupant behavior modeling for building performance simulation: Current state and future challenges by Yan, Da, O’Brien, William, Hong, Tianzhen, Feng, Xiaohang, Burak Gunay, H., Tahmasebi, Farhang, Mahdavi, Ardeshir

“…•Review state-of-the-art research on occupant energy behaviors in buildings.•Discuss current obstacles, future needs and directions in occupant behavior…”
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IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings by Yan, Da, Hong, Tianzhen, Dong, Bing, Mahdavi, Ardeshir, D’Oca, Simona, Gaetani, Isabella, Feng, Xiaohang

“…•Employed multidisciplinary approaches to occupant behavior research.•Developed quantitative description and simulation methods of occupant behavior.•Developed…”
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Gradient boosting machine for modeling the energy consumption of commercial buildings by Touzani, Samir, Granderson, Jessica, Fernandes, Samuel

“…•Introduced machine learning baseline model based on gradient boosting machine algorithm for commercial building energy consumption prediction.•The performance…”
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Designing the design of experiments (DOE) – An investigation on the influence of different factorial designs on the characterization of complex systems by Jankovic, Aleksandar, Chaudhary, Gaurav, Goia, Francesco

“…[Display omitted] •We analyzed the main design of experiments (DOE) and their applications in building physics.•We compared how 31 different DOE characterized…”
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