scholarly journals Potential Effects of Vacuum Insulating Glazing Application for Reducing Greenhouse Gas Emission (GHGE) from Apartment Buildings in the Korean Capital Region

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2828
Author(s):  
Sanghoon Baek ◽  
Sangchul Kim
Keyword(s):  
Energy Consumption ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Gas Emission ◽  
Capital Region ◽  
Wall Area ◽  
Apartment Buildings ◽  
Window System ◽  
U Value ◽  
Business As Usual

Korea has set a goal of reducing greenhouse gas emissions (GHGEs) to levels 37% below the “business as usual (BAU)” level by 2030, and the building sector, in particular, aims to reduce GHGEs by 45,000,000-ton CO2-eq by 2020. In order to reach this goal, it is crucial to reduce GHGEs that result from energy consumption in apartment buildings, which account for approximately 65% of all buildings in the capital region where the population is concentrated. Moreover, as apartment buildings not only have high window-to wall area ratios, but also use insulating glazing (IG) with low thermal performance, an advanced window system with low heat transmittance (U-value), such as a concrete structure, is necessary for effective GHGE reduction. Therefore, this study aims to evaluate the GHGE reduction effects from replacing existing IG vacuum insulating glazing (VIG) with low U-values in the apartment housing located in the capital region. The analysis revealed the possibility of a GHGE reduction by 45%–79% with the application of commercial VIG with U-values of 0.7 W/m2·K in lieu of the existing IG with U-values ranging from 1.2 to 3.3 W/m2·K for all apartment buildings located in the capital region. Furthermore, GHGEs could be reduced by 82%–93% by replacing the existing IG with VIG with U-values of 0.2 W/m2·K.

scholarly journals Energy demand analysis of a five star hotel in Nepal- A case study of Bhairahawa, Nepal.

2021 ◽  
Vol 4 (1) ◽  
pp. 74-82
Author(s):  
Shadananda Acharya ◽  
Shree Raj Shakya
Keyword(s):  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Energy Demand ◽  
Greenhouse Gas Emission ◽  
Gas Emission ◽  
Emission Analysis ◽  
Gas Emissions ◽  
Policy Scenario ◽  
Business As Usual

The tourism sector is one of the most vital sectors for economic development. Hotels consumed a bulk amount of energy to satisfy the guest needs. This study to development of energy mix concept in the hotels sector to minimize the crisis of energy in the future determine electrical and thermal energy consumption patterns of a hotel. The low Emission Analysis Platform (LEAP) model was used to analyze energy demand and greenhouse gas emission under different scenarios. The base year for the study was 2019 and the end year up to 2040. It has been estimated that the base year electrical and thermal consumptions were 16.3 Tera joule and 9 tera joule respectively. Energy consumption is expected to be increased from 25.3 tera joule to 65.9 tera joule in 2040 under the business as usual scenario (BAU). In efficient lighting scenario, energy consumption will be 2 tera joule in 2040. In efficient heating ventilation and air conditioning scenario, efficient cooking scenario and steam generation scenario, energy consumption will be 12 tera joule, 6.5 tera joule and 4.2 tera joule in 2040. In the combined policy scenario, energy consumption will be 37.76 tera joule in 2040. Which result saving of 28.14 tera joule as compared to BAU scenario. This study also show the greenhouse gas emission will be 1100 metric tons of carbon dioxide equivalent in 2040 under business as usual scenario. After the implementation of the efficient system, greenhouse gas emissions will gradually reduce and reach zero in 2035 to 2040. Similarly, per capita greenhouse gases emissions will gradually reduce and reach zero in 2035 to 2040. Thus a large amount of energy can be saved and the large quantity of greenhouse gas emissions can be stopped by applying the combined policy scenario.  

Energy Consumption and Greenhouse Gas Emission of Korean Offshore Fisheries

2018 ◽  
Vol 17 (3) ◽  
pp. 675-682 ◽  
Author(s):  
Jihoon Lee ◽  
Taeho Kim ◽  
Harald Ellingsen ◽  
Erik Skontorp Hognes ◽  
Bokyu Hwang
Keyword(s):  
Energy Consumption ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Gas Emission

scholarly journals The Relationship between Economic Complexity, Energy Consumption Structure and Greenhouse Gas Emission: Heterogeneous Panel Evidence from the EU Countries

2019 ◽  
Vol 11 (2) ◽  
pp. 497 ◽  
Author(s):  
Olimpia Neagu ◽  
Mircea Teodoru
Keyword(s):  
Energy Consumption ◽  
Least Squares ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Gas Emission ◽  
Consumption Structure ◽  
Economic Complexity ◽  
European Economies ◽  
Heterogeneous Panel

The aim of the paper is to examine the long-term relationship between economic complexity, energy consumption structure, and greenhouse gas emission, within a panel of European Union countries and two subpanels: (i) European economies with higher economic complexity and (ii) European economies with a lower level of economic complexity. Taking into consideration the heterogeneity among European countries, the heterogeneous panel technique is used, including panel estimation through fully modified least squares (FMOLS) and dynamic ordinary least squares (DOLS). The empirical findings indicate a long-term equilibrium relationship between economic complexity, energy consumption structure and greenhouse gas emission within all three panels. Economic complexity and energy consumption structure have a statistically significant impact on greenhouse gas emission within all panels, but the influence is higher within the subpanel of countries with a lower level of economic complexity, suggesting a higher risk of pollution as the economic complexity grows and as the energy balance inclines in favor of non-renewable energy consumption. Our paper suggests that the economic complexity is a variable that must be taken into consideration when national economic and energy policies are shaped. Finally, policy implications for each panel of countries are discussed.

External Insulation Design Impacts on the Energy Consumption and Greenhouse Gas Emission of Building

2016 ◽  
Vol 847 ◽  
pp. 381-390 ◽  
Author(s):  
Yao Li ◽  
Xian Zheng Gong ◽  
Zhi Hong Wang ◽  
Hao Li ◽  
Miao Miao Fan
Keyword(s):  
Life Cycle ◽  
Energy Consumption ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Gas Emission ◽  
Production Phase ◽  
External Insulation ◽  
Insulation Thickness ◽  
Building Life Cycle ◽  
Operation Phase

In order to determine the optimal parameters of the external insulation system and guide the energy saving and greenhouse gas emission reduction of building, a typical student dormitory building in Beijing was chosen as research object. The life cycle thinking and dynamic simulation method were used in the present investigation. The relationship between the expandable polystyrene (EPS) external insulation system design parameters and building energy consumption and greenhouse gas emission in each phase of materials production phase, operation phase and the whole life cycle was studied, systematically . The results show that the consumption of clay brick, concrete and cement mortar account for 98.1% of the total materials consumption, where concrete contributes most to both energy consumption (36.6%) and greenhouse gas emission (35.9%). Regarding the contribution to energy consumption and greenhouse gas emission for building life cycle, materials production phase accounts for 5.6%-18.8% and building operation phase takes up 80.6%-93.4%. With the increase of EPS insulation thickness, the energy consumption and greenhouse gas emission increase linearly in materials production phase, decrease in building operation phase, and have an optimization value in the building life cycle to reach the minimum when the heat transfer coefficient (K) is 0.3W / (m2 • K) equivalent to the EPS insulation thickness is 130mm. Building heating load reduces with the increases of insulation thickness, but the envelope thermal insulation performance has no significant influence on cooling load.

Sign in / Sign up

Export Citation Format

Share Document