Energy-saving potential and cost-effectiveness of active energy-efficiency measures for residential building in warm-humid climate

Mujeebu, M. Abdul; Bano, Farheen

doi:10.1016/j.esd.2022.01.011

Cited by 28 publications

(17 citation statements)

References 34 publications

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“…Currently, G-SEED LCA and BEEC data are very useful for presenting global warming impact standards for buildings at the national level. These standards can be used to improve the active design of buildings by increasing the efficiency of facilities that use energy or reducing the amount of directly consumed primary energy by using new and renewable energy [18][19][20] . However, previous studies are mostly limited to calculating the life cycle GWP of buildings and do not present standards to assess its propriety [21][22][23][24] .…”

Section: Propriety Assessment Model For Life Cycle Operational Global...mentioning

confidence: 99%

Propriety assessment model for life cycle operational global warming potential of apartment buildings in Korea using energy efficiency and energy effective area data

Kim

Lim²,

Kim³

et al. 2023

Sci Rep

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In response to global warming, researchers worldwide are actively investigating various techniques and institutional frameworks to reduce the emission of greenhouse gases. Despite numerous life cycle assessment (LCA) studies indicating that global warming effects due to lifetime energy consumption are the greatest in the building operation stage, the absence of a standard global warming potential (GWP) report based on building energy usage makes it difficult to examine realistic GWP reduction directions. In South Korea, energy data for numerous buildings were collected through the Building Energy Efficiency Certification (BEEC) for several years, with data from apartment buildings receiving the most attention. GWP emissions were evaluated using the data through Green Standard for Energy and Environmental Design LCA. Here, we developed a model for apartment buildings to assess mutual propriety for GWP emissions (E) and energy effective area ratio (RE) during building operation to support the reduction of GWP emissions caused by lifetime operational energy consumption resulting from planning and design. We collected apartment BEEC data and used them to calculate the energy effective area ratio and GWP emissions of each building, which were then classified by energy use and source. Linear regression analysis was performed between RE and E for each classification, and the derived regression equation was developed as a GWP assessment model for apartments. The applicability of the proposed model was examined through a case study, which confirmed that the model can be used to determine design directions for reducing GWP emissions for every energy in apartments.

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Section: Propriety Assessment Model For Life Cycle Operational Global...mentioning

confidence: 99%

Propriety assessment model for life cycle operational global warming potential of apartment buildings in Korea using energy efficiency and energy effective area data

Kim

Lim²,

Kim³

et al. 2023

Sci Rep

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show abstract

“…But, although the impact of different technologies attending to their conventional performance can be estimated [4], the design and definition of renovation projects to achieve high energy efficiency levels require individual and detailed analysis for every specific building, considering passive measures [5] (insulation, windows, air permeability) combined with active technologies [6] (renewables [7], HVAC system). Simulation has been widely adopted to predict alternative renovation projects combining different technology packages, by means of estimating the final energy that could be needed to operate the building once retrofitted [8].…”

Section: Context and Interest Of The Researchmentioning

confidence: 99%

Graph-Based Methodology for Multi-Scale Generation of Energy Analysis Models from Ifc

Mediavilla¹,

Elguezabal

Lasarte³

2022

Preprint

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“…In addition to passive energy-saving measures for retrofitting houses, active energy-saving measures can also play a great role. Muhammad [10] found active energy efficiency measures such as air-conditioning (AC), lighting control, thermostat setting, etc. The building energy performance index (EPI) can be reduced by about 63.5%.…”

Section: Introductionmentioning

confidence: 99%

Occupant seating optimization to reduce lighting energy consumption and improve comfort

Lian

Xie

2022

E3S Web Conf.

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occupant presence and behavior are non-negligible factors affecting building energy consumption. It should be emphasized: guaranteed building core functions is a prerequisite for energy saving. This paper proposes a method that can minimize building energy consumption and improve occupant comfort. Through monitoring the entry and exit of a 24-person office, occupant presence is obtained. And the difference in comfort of occupants is investigated and analyzed. The occupant is moved to a seat that is more thermally comfortable. Then occupants with a high degree of overlap in-room time are gathered in the same lighting area to reduce lighting energy consumption. Through the multi-objective optimization model, the lighting energy consumption is reduced by 16.2%, and the overall indoor comfort is slightly improved.

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Energy-saving potential and cost-effectiveness of active energy-efficiency measures for residential building in warm-humid climate

Cited by 28 publications

References 34 publications

Propriety assessment model for life cycle operational global warming potential of apartment buildings in Korea using energy efficiency and energy effective area data

Propriety assessment model for life cycle operational global warming potential of apartment buildings in Korea using energy efficiency and energy effective area data

Graph-Based Methodology for Multi-Scale Generation of Energy Analysis Models from Ifc

Occupant seating optimization to reduce lighting energy consumption and improve comfort

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