When artificial intelligence meets building energy efficiency, a review focusing on zero energy building

2020 ◽  
Author(s):  
Biao Yan ◽  
Fei Hao ◽  
Xi Meng
Keyword(s):  
Artificial Intelligence ◽  
Energy Efficiency ◽  
Building Energy ◽  
Building Energy Efficiency ◽  
Zero Energy ◽  
Zero Energy Building

scholarly journals Plan for the Sustainability of Public Buildings through the Energy Efficiency Certification System: Case Study of Public Sports Facilities, Korea

Buildings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 589
Author(s):  
Seon Gyeong Baek
Keyword(s):  
Energy Efficiency ◽  
National Level ◽  
Building Energy ◽  
Preliminary Review ◽  
Sports Facilities ◽  
Building Energy Efficiency ◽  
Zero Energy ◽  
Public Buildings ◽  
Zero Energy Building

This study examines strategies for energy efficiency in public buildings in Korea and the implementation of certification systems. It also identifies the actual plan status and discusses improvements at the institutional level. The target is the national sports centers, where the discussion on energy efficiency has been assiduous, as they have recently expanded regionally in Korea. Among the 541 national sports centers in Korea, 90 facilities for which a preliminary review was performed on the plan by the National Public Building Center were analyzed. The energy efficiency plan is realized through Building Energy Efficiency, Zero Energy Building, and Green Standard for Energy and Environmental Design certifications. As a result of analyzing the plan status, omissions or errors in certification were confirmed in about 10% of each, even though more than 80% of the facilities were subject to mandatory application. In Korea’s condition, to revitalize the practice of the system, it is necessary to expand the government’s publicity and support initiatives, use differential application of evaluation items, and strengthen incentives. This study provides meaningful results and suggestions for implementing an energy efficiency system at the national level under similar conditions in the future.

scholarly journals Spatial and Behavioral Thermal Adaptation in Net Zero Energy Buildings: An Exploratory Investigation

2020 ◽  
Vol 12 (19) ◽  
pp. 7961 ◽  
Author(s):  
Shady Attia
Keyword(s):  
Energy Efficiency ◽  
Thermal Comfort ◽  
Energy Use ◽  
Thermal Adaptation ◽  
Building Energy ◽  
Building Energy Efficiency ◽  
Zero Energy ◽  
Net Zero Energy ◽  
Net Zero ◽  
Energy Efficiency Standards

Climate responsive design can amplify the positive environmental effects necessary for human habitation and constructively engage and reduce the energy use of existing buildings. This paper aims to assess the role of the thermal adaptation design strategy on thermal comfort perception, occupant behavior, and building energy use in twelve high-performance Belgian households. Thermal adaptation involves thermal zoning and behavioral adaptation to achieve thermal comfort and reduce energy use in homes. Based on quantitative and qualitative fieldwork and in-depth interviews conducted in Brussels, the paper provides insights on the impact of using mechanical systems in twelve newly renovated nearly- and net-zero energy households. The article calls for embracing thermal adaptation as a crucial design principle in future energy efficiency standards and codes. Results confirm the rebound effect in nearly zero energy buildings and the limitation of the current building energy efficiency standards. The paper offers a fresh perspective to the field of building energy efficiency that will appeal to researchers and architects, as well as policymakers.

Towards nearly zero energy building concept – visual comfort and energy efficiency assessments in a classroom

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Norhayati Mahyuddin ◽  
Mozhgan Samzadeh ◽  
Suzaini M. Zaid ◽  
Norafida Ab Ghafar
Keyword(s):  
Energy Efficiency ◽  
Primary Energy ◽  
Building Energy Efficiency ◽  
Visual Comfort ◽  
Zero Energy ◽  
Content Type ◽  
Artificial Lighting ◽  
Zero Energy Building ◽  
Efficiency Cost ◽  
Simple Action

PurposeThis paper aims to raise awareness on how a simple action by the occupant can significantly influence building energy efficiency, cost and CO2 emissions to the environment. Classrooms in schools are the primary energy consumers (45.4%) due to the use of artificial lighting, despite Malaysia's tropical climate being ideal for daylight exploitation. This paper focuses on assessing the workplane daylight distribution quality and quantity in baseline and existing conditions of a typical pre-school classroom in Kuala Lumpur as a model-based exploration strategy towards nearly Zero Energy Buildings.Design/methodology/approachThe adopted method is based on the calculation of average daylight factor (DF), daylight illuminance level (IL) and uniformity ratio (UR) parameters affected by the internal fixed drapes through computational and in situ measurements according to the requirements of the law and respective standards comprising the MS1525:2019, GBI and BREEAM.FindingsThe results show how user behaviour can turn a well-daylit area (Net Lettable Area>90%) into a poor-daylit area (NLA<5%) by sacrificing natural daylight. All the parameters' values were significantly decreased from 10% (UR) up to 88% (ADF). Full dependency on artificial lighting has imposed a total of RM18858.90 and CO2 emissions of 25,362 kg for all pre-schools' classrooms in the country per day.Social implicationsThe paper develops the occupants' awareness on their contribution to climate change and global warming through the information and transparency provided.Originality/valueThe evidence indicates that a simple action by the occupant can significantly influence visual comfort, EE, cost and CO2 emissions to the environment.

scholarly journals IMPROVING BUILDING ENERGY EFFICIENCY USING DISTRIBUTED ARTIFICIAL INTELLIGENCE

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
Milica Radic ◽  
Dejan Petkovic
Keyword(s):  
Artificial Intelligence ◽  
Energy Efficiency ◽  
Intelligent Agents ◽  
Energy Savings ◽  
Building Energy ◽  
Hvac Systems ◽  
Distributed Artificial Intelligence ◽  
Building Energy Efficiency ◽  
Reduce Energy Consumption ◽  
Temperature Levels

Saving energy in buildings without losing the comfort of the occupants is contradictory request. It has been shown that the use of smart thermostats to HVAC systems reduce energy consumption as much as thirty percent. Depending on the number of different, pre-defined temperature levels, energy savings might be even greater. The method for determining the coefficient of utilization which is based on a normal time temperature distribution is proposed. Key words:Building energy efficiency, TRIZ matrix, Intelligent agents, Coefficient of utilization

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