Assessment of building energy performance in vocational high school building for lighting and thermal comfort: A review of two regions

School building energy performance and classroom air environment implemented with the heat recovery heat pump and displacement ventilation system

Applied Energy ◽

10.1016/j.apenergy.2013.09.020 ◽

2014 ◽

Vol 114 ◽

pp. 58-68 ◽

Cited By ~ 27

Author(s):

Yang Wang ◽

Fu-Yun Zhao ◽

Jens Kuckelkorn ◽

Hartmut Spliethoff ◽

Ernst Rank

Keyword(s):

Heat Pump ◽

Heat Recovery ◽

Ventilation System ◽

Building Energy ◽

Energy Performance ◽

School Building ◽

Displacement Ventilation ◽

Multi-objective optimization of building energy performance and indoor thermal comfort: A new method using artificial bee colony (ABC)

Energy and Buildings ◽

10.1016/j.enbuild.2016.09.003 ◽

2016 ◽

Vol 131 ◽

pp. 42-53 ◽

Cited By ~ 50

Author(s):

Navid Delgarm ◽

Behrang Sajadi ◽

Saeed Delgarm

Keyword(s):

Thermal Comfort ◽

Artificial Bee Colony ◽

Building Energy ◽

Energy Performance ◽

New Method ◽

Multi Objective Optimization ◽

Multi Objective ◽

Indoor Thermal Comfort ◽

Bee Colony

The significance of occupancy profiles in determining post retrofit indoor thermal comfort, overheating risk and building energy performance

Building and Environment ◽

10.1016/j.buildenv.2020.106676 ◽

2020 ◽

Vol 172 ◽

pp. 106676 ◽

Cited By ~ 4

Author(s):

Heba Elsharkawy ◽

Sahar Zahiri

Keyword(s):

Thermal Comfort ◽

Building Energy ◽

Energy Performance ◽

Indoor Thermal Comfort

Energy performance of the vocational high school building for the convenience of thermal and lighting comfort in Medan

10.1063/1.5043028 ◽

2018 ◽

Cited By ~ 1

Author(s):

Imam Alfianto ◽

Mohammad Sulton ◽

Astri Anindya Sari ◽

Ahmad Dardiri

Keyword(s):

High School ◽

Energy Performance ◽

School Building ◽

Vocational High School

Simulation-based model predictive control by the multi-objective optimization of building energy performance and thermal comfort

Energy and Buildings ◽

10.1016/j.enbuild.2015.11.033 ◽

2016 ◽

Vol 111 ◽

pp. 131-144 ◽

Cited By ~ 100

Author(s):

Fabrizio Ascione ◽

Nicola Bianco ◽

Claudio De Stasio ◽

Gerardo Maria Mauro ◽

Giuseppe Peter Vanoli

Keyword(s):

Model Predictive Control ◽

Thermal Comfort ◽

Predictive Control ◽

Building Energy ◽

Energy Performance ◽

Multi Objective Optimization ◽

Multi Objective ◽

Simulation Based

Proceedings of the 2021 International Conference on Control and Intelligent Robotics ◽

A data-driven approach to optimize building energy performance and thermal comfort using machine learning models

10.1145/3473714.3473794 ◽

2021 ◽

Author(s):

Ziqi Chen ◽

Zhuoang Tao ◽

Aiwei Chang

Keyword(s):

Machine Learning ◽

Thermal Comfort ◽

Building Energy ◽

Energy Performance ◽

Data Driven ◽

Learning Models ◽

Data Driven Approach ◽

Machine Learning Models

Impacts of HVACR temperature sensor offsets on building energy performance and occupant thermal comfort

Building Simulation ◽

10.1007/s12273-018-0475-3 ◽

2018 ◽

Vol 12 (2) ◽

pp. 259-271 ◽

Cited By ~ 6

Author(s):

Sungmin Yoon ◽

Yuebin Yu ◽

Jiaqiang Wang ◽

Peng Wang

Keyword(s):

Thermal Comfort ◽

Temperature Sensor ◽

Building Energy ◽

Energy Performance ◽

Multi-objective optimization of building energy performance and indoor thermal comfort by combining artificial neural networks and metaheuristic algorithms

Energy and Buildings ◽

10.1016/j.enbuild.2021.110839 ◽

2021 ◽

pp. 110839

Author(s):

Badr Chegari ◽

Mohamed Tabaa ◽

Emmanuel Simeu ◽

Fouad Moutaouakkil ◽

Hicham Medromi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Thermal Comfort ◽

Building Energy ◽

Energy Performance ◽

Metaheuristic Algorithms ◽

Multi Objective Optimization ◽

Multi Objective ◽

Indoor Thermal Comfort

Manufacture of optimized PCM within thermal comfort range to improve building energy performance

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/609/4/042019 ◽

2019 ◽

Vol 609 ◽

pp. 042019

Author(s):

Ji Hun Park ◽

Seunghwan Wi ◽

Jongki Lee ◽

Beom Yeol Yun ◽

Sungwoong Yang ◽

...

Keyword(s):

Thermal Comfort ◽

Building Energy ◽

Energy Performance ◽

A Non-Invasive Sensing System for Decoding Occupancy Behaviors Affecting Building Energy Performance

Computing in Civil Engineering 2015 ◽

10.1061/9780784479247.033 ◽

2015 ◽

Cited By ~ 2

Author(s):

Triana S. Carmenate ◽

Diana Leante ◽

Sebastian A. Zanlongo ◽

Leonardo Bobadilla ◽

Ali Mostafavi

Keyword(s):

Building Energy ◽

Energy Performance ◽

Non Invasive ◽

Sensing System