Results 51 to 60 of about 6,223 (218)

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

Economic Applicability of Solar Tracking Photovoltaic Systems in Commercial Buildings: Case Study in South Korean Climate

Energies, 2023
This study investigated the applicability of a tracking photovoltaic (PV) system installed in the roof area of a commercial building. Because PVWatts is the only PV module with a tracking feature in EnergyPlus, its electricity generation was validated ...
Jaewan Joe, Jinhyung Park, Heewon Choi, Yooseok Park, Jungwhan Oh, Younghoon Kwak   +5 more
doaj   +1 more source

Extensive Comparative Analysis Of Two Building Energy Simulation Codes For Southern Europe Climates: Heating And Cooling Energy Needs and Peak Loads Calculation In TRNSYS And EnergyPlus

, 2012
In order to evaluate the energy performance of buildings, both in heating and in cooling periods, the simulation codes can be used. Moreover, in accordance with the technical Standard EN ISO 13790:2008, the simulation codes can be employed for refining ...
Andrea Gasparella, Gasparella, Andrea, Pernigotto, Giovanni   +2 more
core   +1 more source

Influência de parâmetros construtivos no consumo de energia de edifícios de escritório localizados em Florianópolis/SC [PDF]

, 2006
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia CivilDiante da importância da escolha de materiais, e da adequação da edificação ao clima em busca de edificações mais eficientes
Santana, Marina Vasconcelos
core  

Representing Small Commercial Building Faults in EnergyPlus, Part II: Model Validation

Buildings, 2019
Automated fault detection and diagnosis (AFDD) tools based on machine-learning algorithms hold promise for lowering cost barriers for AFDD in small commercial buildings; however, access to high-quality training data for such algorithms is often difficult
Janghyun Kim, Stephen Frank, Piljae Im, James E. Braun, David Goldwasser, Matt Leach   +5 more
doaj   +1 more source

A Decision‐Making Model for Implementing Green Technology in Sustainable Building Projects

Business Strategy and the Environment, EarlyView.
ABSTRACT Green technology (GT) adoption is pivotal for reconciling environmental stewardship with economic viability in the built environment, particularly in resource‐constrained emerging economies. However, empirical evidence on how specific GT drivers actively mitigate adoption barriers remains scarce.
Abdelazim Ibrahim, Ahmed Farouk Kineber, Ayodeji Emmanuel Oke, Mehrdad Arashpour, M. K. S. Al‐Mhdawi, Abe Abimbola Maxwell   +5 more
wiley   +1 more source

Thermochromic Radiative Cooling Coatings with Robust Superhydrophobicity for Energy‐Efficient Buildings

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A scalable, color‐adaptive radiative cooling coating is developed to enable dynamic spectral regulation via a reversible thermochromic transition at ~45 °C and a high solar reflectance of 91.7%. The coating achieves 4.44 °C outdoor sub‐ambient cooling while providing robust superhydrophobicity and environmental durability through its micro/nano ...
Ziqi Li, Akbar Bashir, Chak‐Yin Tang, Gary Chi‐Pong Tsui, Yan Chen, Jie Cui, Xing Ouyang, Chen Liu, Dazhu Chen   +8 more
wiley   +1 more source

Simulation-Based Evaluation and Optimization of Control Strategies in Buildings

Energies, 2018
Over the last several years, a great amount of research work has been focused on the development of model predictive control techniques for the indoor climate control of buildings, but, despite the promising results, this technology is still not adopted ...
Georgios D. Kontes, Georgios I. Giannakis, Víctor Sánchez, Pablo de Agustin-Camacho, Ander Romero-Amorrortu, Natalia Panagiotidou, Dimitrios V. Rovas, Simone Steiger, Christopher Mutschler, Gunnar Gruen   +9 more
doaj   +1 more source

Graph Neural Network‐Based Prediction of Building Energy Consumption

Energy Science &Engineering, EarlyView.
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti, Jamal Dabbagh, Jhila Nasiri Reveshti, Karim Farajeyan Bonab, Farid Hosseini Mansoub   +4 more
wiley   +1 more source

Comparação do desempenho energético de sistemas de climatização para uma edificação comercial em Florianópolis/SC [PDF]

, 2014
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia Civil, Florianópolis, 2014.O estudo consiste em comparar o desempenho energético no resfriamento entre dois sistemas de ...
Duarte, Vanessa Cavalcanti Paes
core