Revised heating degree days due to global warming for 15 major cities of South Korea

2011 ◽  
Vol 32 (4) ◽  
pp. 377-383 ◽  
Author(s):  
Sung-Hwan Cho ◽  
Hyeong-Jung Kim ◽  
M Zaheeruddin
Keyword(s):  
Global Warming ◽  
Energy Consumption ◽  
South Korea ◽  
Degree Days ◽  
Practical Applications ◽  
Ambient Temperatures ◽  
Temperature Levels ◽  
Heating Degree Days ◽  
Equipment Size ◽  
The Impact

Because of the rapid rise in ambient temperatures in urban cities due to global warming, this research study was conducted to revise the heating degree days (HDDs) for main cities of South Korea. Current HDDs used in the design of heating systems were established some 30 years ago. Therefore, there is a need to revisit and revise the HDDs used in Korea. The HDDs were computed at five different indoor set-point and unloaded temperatures. The validity of the methodology used for computing HDDs was ascertained by comparing the calculated HDDs with the published values. The impact of the length of time on total annual HDDs was examined. The results show that higher temperature trends due to global warming witnessed over the past decade in general decreased the HDDs. The impact was higher for warmer climate cities than the cold regions. The revised annual HDDs for 15 major cities of South Korea are presented in this paper. Practical applications: The HDDs corrected for global warming effects for 15 major cities of South Korea presented in this article are useful for designers in estimating the impact on equipment size and energy consumption. Towards this end, several scenarios of global warming effects are presented by assuming several unloaded temperature levels. This is useful for the designers in examining the uncertainties in the estimation of energy consumption. The results published are also important for policy makers in South Korea to examine the need for revising the degree day database in light of the global warming trends.

The impact of sustainable architecture patterns in optimizing energy consumption (Case Study: hot and dry climate)

2015 ◽  
Vol 16 (SE) ◽  
pp. 531-538
Author(s):  
Adel Ataei Karizi ◽  
Mahjoobeh Noohi Bezenjani
Keyword(s):  
Sustainable Development ◽  
Global Warming ◽  
Energy Consumption ◽  
International Level ◽  
Natural Habitats ◽  
Sustainable Architecture ◽  
Water And Soil Pollution ◽  
Climate Analysis ◽  
The Impact

Today, the environment, optimizing energy consumption and sustainable development have become the most important issues at the international level. Increasing population growth has disastrous effects on Earth's natural habitats and issues such as general global warming, increase in greenhouse gases in the atmosphere that cause global warming, air, water and soil pollution all lead to irresponsible consumption of energy. This paper tries to evaluate sustainable patterns in warm and dry areas that with the climate analysis and contemporary comparison of design in hot and dry climate while clarifying various aspects, explain the impact of environmental factors in the formation of sustainable architecture and the use of applied patterns to design a sustainable architecture. It have been used analytical method, as well as library and documentary research in this study.

Climate Change as a Driving Force on Urban Energy Consumption Patterns

2018 ◽  
pp. 7815-7830
Author(s):  
Mostafa Jafari ◽  
Pete Smith
Keyword(s):  
Energy Consumption ◽  
Pearson Correlation ◽  
Consumption Patterns ◽  
Time Slice ◽  
Degree Days ◽  
Urban Energy ◽  
Cooling Degree Days ◽  
Energy Consumption Patterns ◽  
Annual Total ◽  
Heating Degree Days

Heating Degree Days (HDD), in cases where temperatures are below 18°C, and Cooling Degree Days (CDD), in cases where temperatures are above 21°C, were used as energy consumption indices. During the last half century, mean annual temperatures have increased and as a consequence, CDD in the warm season have increased sharply. In the same time slice, HDD, even in the cool and cold season have declined steadily. The number of monthly and annual total HDD (mean= 1556) are much higher than CDD (mean=400) in the case study area and annual total HDD and CDD have a negative correlation (Pearson correlation = - 0.493; p = 0.001). The deceasing rate of HDD is limited and steady (R2= 0.062, p=0.099), but the increasing rate of CDD in the same time slice is sharp (R2=0.427, p=0.813). This shows that energy consumption patterns have increased sharply, and with available projection scenarios, is projected to increase more rapidly, leading to higher energy costs.

The Estimation of Base Temperature for Heating and Cooling Degree-Days for South Korea

2014 ◽  
Vol 53 (2) ◽  
pp. 300-309 ◽  
Author(s):  
Kyoungmi Lee ◽  
Hee-Jeong Baek ◽  
ChunHo Cho
Keyword(s):  
Climate Change ◽  
South Korea ◽  
Piecewise Linear ◽  
Regional Scale ◽  
Electricity Demand ◽  
Linear Regression Method ◽  
Base Temperature ◽  
Degree Days ◽  
Cooling Degree Days ◽  
The Impact

AbstractIn South Korea, heating degree-days (HDD) and cooling degree-days (CDD) have been widely used as climatic indicators for the assessment of the impact of climate change, but arbitrary or customary base temperatures have been used for calculation of HDD and CDD. The purpose of this study is to determine real base temperatures to accurately calculate HDD and CDD for South Korea, using monthly electric energy consumption and mean temperature data from 2001 to 2010. The results reveal that the regional electricity demand generally depends on air temperature in a V-shaped curve in urban settings but in an L-shaped curve in rural settings, indicating that the sensitivity of the electricity demand to the temperature change is affected by the size of cities. The South Korean regional base temperatures, defined by a piecewise linear regression method, range from 14.7° to 19.4°C. These results suggest that the assessment of climate change impacts on the energy sector in South Korea should be carried out on a regional scale.

scholarly journals Climate Change and Building Energy Consumption: A Review of the Impact of Weather Parameters Influenced by Climate Change on Household Heating and Cooling Demands of Buildings

2021 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Hassan Bazazzadeh ◽  
Adam Nadolny ◽  
Seyedeh Sara Hashemi Safaei
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Energy Consumption ◽  
Industrial Development ◽  
Building Sector ◽  
Total Energy Consumption ◽  
Heating And Cooling ◽  
Urban Energy ◽  
The Impact

The growth of urban population as the result of economic and industrial development has changed our place of living from a prosperous place to where the resources are carelessly consumed. On the other hand, long-term climate change, i.e. global warming, has had adverse impact on our resources. Certain resources are on the verge of depletion as the consequence of climate change and inconsiderate consumption of resources, unless serious measures are implemented immediately. The building sector, whose share in the municipal energy consumption is considerably high, is a key player that may successfully solve the problem. This paper aims to study the effects of climate change on the energy consumption of buildings and analyze its magnitude to increase the awareness of how construction can reduce the overall global energy consumption. A descriptive-analytical method has been applied to analyze valid models of energy consumption according to different scenarios and to interpret the conditions underlying current and future energy consumption of buildings. The results clearly show that the energy consumption in the building sector increasingly depends on the cooling demand. With that being said, we can expect the reduction of overall energy consumption of buildings in regions with high heating demands, whereas rising the energy consumption in buildings is expected in regions with high cooling demand. To conclude, the long-term climate change (e.g. global warming) underlies the increased energy consumption for the cooling demand whose share in total energy consumption of buildings much outweighs the heating demand. Therefore, to conserve our resources, urban energy planning and management should focus on working up a proper framework of guidelines on how to mitigate the cooling loads in the energy consumption patterns of buildings.

scholarly journals Effect of Ambient Temperature on Electric Vehicles’ Energy Consumption and Range: Model Definition and Sensitivity Analysis Based on Nissan Leaf Data

2019 ◽  
Vol 10 (1) ◽  
pp. 2 ◽  
Author(s):  
Paolo Iora ◽  
Laura Tribioli
Keyword(s):  
Sensitivity Analysis ◽  
Energy Consumption ◽  
Ambient Temperature ◽  
Electric Vehicles ◽  
Ambient Temperatures ◽  
Battery Model ◽  
Driving Cycles ◽  
Using Data ◽  
Set Up ◽  
The Impact

In this paper, a general quasi-steady backward-looking model for energy consumption estimation of electric vehicles is presented. The model is based on a literature review of existing approaches and was set up using publicly available data for Nissan Leaf. The model has been used to assess the effect of ambient temperature on energy consumption and range, considering various reference driving cycles. The results are supported and validated using data available from an experimental campaign where the Nissan Leaf was driven to depletion across a broad range of winter ambient temperatures. The effect of ambient temperature and the consequent accessories consumption due to cabin heating are shown to be remarkable. For instance, in case of Federal Urban Driving Schedule (FUDS), simplified FUDS (SFUDS), and New European Driving Cycle (NEDC) driving cycles, the range exceeds 150 km at 20 °C, while it reduces to about 85 km and 60 km at 0 °C and −15 °C, respectively. Finally, a sensitivity analysis is reported to assess the impact of the hypotheses in the battery model and of making different assumptions on the regenerative braking efficiency.

scholarly journals Application of the methodology related to the emission standard to specific railway line in comparison with parallel road transport: a case study

2018 ◽  
Vol 244 ◽  
pp. 03002 ◽  
Author(s):  
Iwona Rybicka ◽  
Ondrej Stopka ◽  
Vladimír Ľupták ◽  
Mária Chovancová ◽  
Paweł Droździel
Keyword(s):  
Global Warming ◽  
Czech Republic ◽  
Energy Consumption ◽  
Greenhouse Gases ◽  
Road Transport ◽  
Emission Standard ◽  
The Czech Republic ◽  
Railway Line ◽  
The Impact

At present, the impact of transport on the environment constitutes a serious problem. This mainly concerns energy consumption and production of greenhouse gases (GHG) that via their participation in greenhouse effect intensification contribute to global warming. In this paper, the calculations provided by the EN 16258: 2012 methodology will be applied to two modes of transport: railway and road transport. Subsequently, the methodology will be applied to a case study of a selected nonelectrified railway line in comparison with parallel road transport. In particular, energy consumption and production of greenhouse gases will be monitored depending on traveling the distance between selected cities in the Czech Republic.

A method to estimate the heating and cooling degree-days for different climatic zones of Saudi Arabia

2016 ◽  
Vol 38 (3) ◽  
pp. 327-350 ◽  
Author(s):  
Madhavi Indraganti ◽  
Djamel Boussaa
Keyword(s):  
Saudi Arabia ◽  
Energy Consumption ◽  
Regression Models ◽  
Outdoor Environment ◽  
Base Temperature ◽  
Degree Days ◽  
Climatic Zones ◽  
Heating And Cooling ◽  
Cooling Degree Days ◽  
Heating Degree Days

Saudi Arabia’s energy consumption is increasing astronomically. Saudi Building Code prescribes a fixed base temperature of 18.3℃ to estimate the heating degree-days and cooling degree-days. Using historical meteorological data (2005–2014), this article presents the heating degree-days and cooling degree-days estimated for the representative cities in all the five inhabited climatic zones of Saudi Arabia. We used the base temperatures of 14℃, 16℃ and 18℃ for heating degree-days, and 18℃, 20℃, 22℃, 24℃ and 28℃ for cooling degree-days for Dhahran, Guriat, Jeddah, Khamis Mushait and Riyadh cities. We developed multiple regression models for heating degree-days and cooling degree-days at various base temperatures for these zones. Degree-days for other cities in similar climates with limited input data can be computed with these. Lowering of base temperature by 2 K from 18℃ reduced the heating degree-days by 33–65%. At 14℃ of base temperature, the heating requirement reduced by 60–95%. Elevating the base temperature by 2 K from 18℃ lowered the cooling degree-days by 16–38%. At 28℃ of base temperature cooling can be completely eliminated in Khamis Mushait, and reduced by 65–92% in other cities. This observation merits rethinking about use of appropriate base temperatures that properly link the outdoor environment to reduce the energy consumption. Practical application: Using historical data, we developed regression models for predicting heating and cooling degree-days for five cities of Saudi Arabia in various climate zones without the historic data. Using these, we can estimate the changes in heating/cooling load due to the variation in base temperatures. For example, lowering base temperature by 2–4 K from 18℃ reduces the HDDs by 33–95% and elevating the base temperature by 2–4 K from 18℃ lowered the CDDs by 16–68%.

Climate Change as a Driving Force on Urban Energy Consumption Patterns

2019 ◽  
pp. 547-563
Author(s):  
Mostafa Jafari ◽  
Pete Smith
Keyword(s):  
Energy Consumption ◽  
Pearson Correlation ◽  
Consumption Patterns ◽  
Time Slice ◽  
Degree Days ◽  
Urban Energy ◽  
Cooling Degree Days ◽  
Energy Consumption Patterns ◽  
Annual Total ◽  
Heating Degree Days

Heating degree days (HDD), in cases where temperatures are below 18°C, and cooling degree days (CDD), in cases where temperatures are above 21°C, were used as energy consumption indices. During the last half century, mean annual temperatures have increased, and as a consequence, CDD in the warm season have increased sharply. In the same time slice, HDD even in the cool and cold season have declined steadily. The number of monthly and annual total HDD (mean= 1556) are much higher than CDD (mean=400) in the case study area, and annual total HDD and CDD have a negative correlation (Pearson correlation = - 0.493; p = 0.001). The deceasing rate of HDD is limited and steady (R2= 0.062, p=0.099), but the increasing rate of CDD in the same time slice is sharp (R2=0.427, p=0.813). This shows that energy consumption patterns have increased sharply, and with available projection scenarios, it is projected to increase more rapidly, leading to higher energy costs.

The Impact of Using Mathematics Principles on the Performance of Chillers

2013 ◽  
Vol 278-280 ◽  
pp. 165-168
Author(s):  
Yan Hui Jiao
Keyword(s):  
Energy Consumption ◽  
Electrical Power ◽  
Electrical Energy ◽  
Time Shift ◽  
Electrical Load ◽  
Night Time ◽  
Ambient Temperatures ◽  
Partial Load ◽  
Ac Systems ◽  
The Impact

In AC industry chilled water storage (CWS) systems are one form of cool thermal storage technology that can be used to time shift the electrical load of the system from the peak day periods to off peak night time periods. In this paper the data for the actual exported and generated electrical energy obtained for the power stations has been used to estimate the electrical energy consumption and the peak electrical load of AC systems. Since the chiller in an air cooled AC system represent more than 75% of the total electrical power consumed by an AC system during the peak demand period, the impact of using CWS systems with alternative operating strategies including partial(load leveling ),partial (demand limiting) and full load has been investigated. In our conclusions we estimate that approximately 45% of the total annual exported electrical energy is consumed solely by AC systems as a result of the very high ambient temperatures. Furthermore, it is estimated AC systems represent about 62% of the peak electrical load. The results demonstrate that CWS can reduce the peak electrical load of a chiller in an air cooled AC system by up to 100% and reduce the nominal chiller size by up to 33% depending up on the operating strategy adopted. This is achieved with only a 4% increase in power consumption of the chiller for all CWS strategies except for full storage where the energy consumption actually decreases by approximately 4%.

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