scholarly journals Sustainable Energy Planning for Nepal in the Federal Structure

2019 ◽  
Vol 5 ◽  
pp. 127-145
Author(s):  
Shailendra Bhusal ◽  
Amrit Man Nakarmi
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Carbon Emission ◽  
Cost Benefit Analysis ◽  
Energy Planning ◽  
Reference Scenario ◽  
Modeling Framework ◽  
Co2 Equivalent ◽  
Per Capita ◽  
Federal Structure

This paper examined the energy planning in each province, sustainable technology policy interventions in the energy demand and social cost benefit analysis in energy sector for Nepal in the federal structure over the period 2017-2050 using LEAP-IBC modeling framework. Four scenarios were developed, reference, Low economy, accelerated economy and sustainable scenario, former three are based on socioeconomic assumption and later is technology intervention case. In reference scenario, energy consumption will increase by 3 folds from 544 PJ to 1645 PJ during 2017-2050, whereas in sustainable scenario the value expected to increase to 866 PJ by 2050. In the base year 2017, emission is 69 million metrictons of Co2 equivalents whereas per capita emission is 2.36 metric tons. In the reference scenario the carbon emission increases to 178 million Metric tons of CO2 equivalent in 2050 whereas per capita carbon emission increases to the 4.06metric ton in the year 2050. In sustainable scenario the carbon emission increases to 21.95 million Metric tons of CO2 equivalent in 2030 whereas per capita carbon emission reduces to the 0.64 metric ton in the year 2030 due to the technological policy intervention. The calculated NPV shows that SED scenario is most economically viable with NPV value 7899 million NRS. In sustainable policy scenario efficient as well as new and improved technologies has been considered as a result of which substantial amount of reduction in energy intensities and per capita final energy consumption is achieved. In reference scenario per capita energy consumption 18GJ is increase to 40 GJ and in sustainable scenario is expected to 19GJ by 2050.

scholarly journals Analysis and Modeling of Energy Demand System in Iran’s Buildings and the Industry

2019 ◽  
Vol 9 (1) ◽  
pp. 53-62
Author(s):  
Seyed Morteza Emami ◽  
Mehdi Ravanshadnia ◽  
Mahmood Rahimi
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Residential Buildings ◽  
Energy System ◽  
Future Perspective ◽  
Energy Planning ◽  
Reference Scenario ◽  
The Future ◽  
The Status ◽  
Increasing Demand

Abstract In this study, the demand of the Iran’s energy carriers is analyzed and modeled for the country’s largest consumer, buildings and related industries, in the status quo and future perspective. To this objective, the building sector is divided into two sections: household section (residential buildings) and services (business-office and service buildings) according to the ISIC classification that each of these sections is divided into sub-sections. In addition, building-related industries include some non-metallic minerals and basic metals industries. Regarding to scenario-based energy planning helps to increase the understanding of different probabilities in the future. The future outlook for the system is modeled with the horizon of 2035 with the LEAP modeling tool in the “reference” scenario, indicating the sustainability of the existing energy system in the future. The results of modeling indicate an increasing demand for energy as expected that energy demand carriers in buildings and related industries from 559.8 million barrels in 2014 reach up to 1040.6 million barrels of crude oil equivalents in 2035. Therefore, in order to reduce energy consumption, solutions are modeled and analyzed according to the scenarios for “Improvement of energy consumption in buildings and related industries”, then the greenhouse gas emissions and their environmental effects are investigated.

Impact of urbanization on per capita energy use and emissions in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stuti Haldar ◽  
Gautam Sharma
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Population Density ◽  
Carbon Dioxide Emissions ◽  
Energy Demand ◽  
Energy Use ◽  
Energy Intensity ◽  
Series Data ◽  
Content Type ◽  
Per Capita

Purpose The purpose of this study is to investigate the impacts of urbanization on per capita energy consumption and emissions in India. Design/methodology/approach The present study analyses the effects of urbanization on energy consumption patterns by using the Stochastic Impacts by Regression on Population, Affluence and Technology in India. Time series data from the period of 1960 to 2015 has been considered for the analysis. Variables including Population, GDP per capita, Energy intensity, share of industry in GDP, share of Services in GDP, total energy use and urbanization from World Bank data sources have been used for investigating the relationship between urbanization, affluence and energy use. Findings Energy demand is positively related to affluence (economic growth). Further the results of the analysis also suggest that, as urbanization, GDP and population are bound to increase in the future, consequently resulting in increased carbon dioxide emissions caused by increased energy demand and consumption. Thus, reducing the energy intensity is key to energy security and lower carbon dioxide emissions for India. Research limitations/implications The study will have important policy implications for India’s energy sector transition toward non- conventional, clean energy sources in the wake of growing share of its population residing in urban spaces. Originality/value There are limited number of studies considering the impacts of population density on per capita energy use. So this study also contributes methodologically by establishing per capita energy use as a function of population density and technology (i.e. growth rates of industrial and service sector).

scholarly journals A new clustering and visualization method to evaluate urban energy planning scenarios

2018 ◽  
Author(s):  
Sara Torabi Moghadam ◽  
Silvia Coccolo ◽  
Guglielmina Mutani ◽  
Patrizia Lombardi ◽  
Jean Louis Scartezzini ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Urban Areas ◽  
Energy Demand ◽  
Planning Process ◽  
Energy Transition ◽  
Climatic Conditions ◽  
Energy Planning ◽  
Transition Strategies ◽  
Urban Energy ◽  
The City

The spatial visualization is a very useful tool to help decision-makers in the urban planning process to create future energy transition strategies, implementing energy efficiency and renewable energy technologies in the context of sustainable cities. Statistical methods are often used to understand the driving parameters of energy consumption but rarely used to evaluate future urban renovation scenarios. Simulating whole cities using energy demand softwares can be very extensive in terms of computer resources and data collection. A new methodology, using city archetypes is proposed, here, to simulate the energy consumption of urban areas including urban energy planning scenarios. The objective of this paper is to present an innovative solution for the computation and visualization of energy saving at the city scale.The energy demand of cities, as well as the micro-climatic conditions, are calculated by using a simplified 3D model designed as function of the city urban geometrical and physical characteristics. Data are extracted from a GIS database that was used in a previous study. In this paper, we showed how the number of buildings to be simulated can be drastically reduced without affecting the accuracy of the results. This model is then used to evaluate the influence of two set of renovation solutions. The energy consumption are then integrated back in the GIS to identify the areas in the city where refurbishment works are needed more rapidly. The city of Settimo Torinese (Italy) is used as a demonstrator for the proposed methodology, which can be applied to all cities worldwide with limited amount of information.

scholarly journals Future energy scenarios of household in Bhaktapur District

2015 ◽  
Vol 3 ◽  
pp. 36-43
Author(s):  
Yogesh Bajracharya
Keyword(s):  
Total Energy ◽  
Urban Area ◽  
Rural Area ◽  
Energy Demand ◽  
Planning System ◽  
Energy Planning ◽  
District Energy ◽  
Ghg Reduction ◽  
Co2 Equivalent ◽  
Business As Usual

Energy plays a pervasive and critically important role in economic and social development. So, energy planning is important area of study. For Bhaktapur district energy plan, the survey was done by using the questionnaire. Total of 91 samples from rural area and 112 samples from urban area were taken to prepare primary database. The total energy demand was 952 TJ in rural area and 458 TJ in urban area in 2013. LEAP (Long-Range Energy Alternative Planning System) software was used for energy planning. Five scenarios, Business as Usual (BAU), Reference (REF), Accelerated Growth Rate (ACC), and Sustainable Energy for All (SE4ALL) in REF and ACC case scenarios were developed. Total energy demand in 2030 will be 2,748 TJ for BAU, 3,799 TJ for REF and 6,203 TJ for ACC case whereas total demand limits from 766 TJ and 1,241 TJ in SE4ALL scenario in REF and ACC case respectively. Again the total energy demand for 2045 will be 4,945 TJ, 9,104 TJ and 22,592 TJ for BAU, REF and ACC case respectively. Total energy demand for SE4ALL scenario will be 1,807 TJ and 4,381 TJ for REF and ACC case respectively. The GHG reduction up to 2045 by SE4ALL approach is 1.79 million metric tons of CO2 equivalent in REF and 3.54 million metric tons of CO2 equivalent in ACC Scenario.

scholarly journals The carbon emissions of Chinese cities

2012 ◽  
Vol 12 (14) ◽  
pp. 6197-6206 ◽  
Author(s):  
H. Wang ◽  
R. Zhang ◽  
M. Liu ◽  
J. Bi
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
National Policy ◽  
Emission Inventories ◽  
Chinese Cities ◽  
Industrial Energy ◽  
Per Capita ◽  
Policy Priority

Abstract. As increasing urbanization has become a national policy priority for economic growth in China, cities have become important players in efforts to reduce carbon emissions. However, their efforts have been hampered by the lack of specific and comparable carbon emission inventories. Comprehensive carbon emission inventories for twelve Chinese cities, which present both a relatively current snapshot and also show how emissions have changed over the past several years, were developed using a bottom-up approach. Carbon emissions in most Chinese cities rose along with economic growth from 2004 to 2008. Yet per capita carbon emissions varied between the highest and lowest emitting cities by a factor of nearly 7. Average contributions of sectors to per capita emissions for all Chinese cities were 65.1% for industrial energy consumption, 10.1% for industrial processes, 10.4% for transportation, 7.7% for household energy consumption, 4.2% for commercial energy consumption and 2.5% for waste processing. However, these shares are characterized by considerable variability due to city-specific factors. The levels of per capita carbon emissions in China's cities were higher than we anticipated before comparing them with the average of ten cities in other parts of the world. This is mainly due to the major contribution of the industry sector in Chinese cities.

scholarly journals Energy and Emission Analysis of Residential Sector: A Case Study for Reshunga Municipality in Nepal

2018 ◽  
Vol 4 ◽  
pp. 17-27
Author(s):  
Biswambhar Panthi ◽  
Nawraj Bhattarai
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Total Energy Consumption ◽  
Emission Analysis ◽  
Hilly Region ◽  
Ghg Reduction ◽  
Final Energy Demand

This paper presents energy consumption in a municipality within hilly region and also analyzes GHG emission under different scenario. For the purpose of study Reshunga municipality was taken, situated in Gulmi district of Nepal occupying an area of 82.74 sq.km. For collection of data, 368 houses were surveyed and the locals were interviewed on their annual consumption. The total energy consumption was 214.8 TJ where 78.25% was supplied by wood. LPG shared 16.14% of demand. Cooking (58%) and water boiling (26%) were the most demanding task. Most of the houses were equipped with ICS, with share 55% of energy demand in cooking. Four different scenario were studied viz. BAU, DSM, BSP and SDG. In, BAU scenario, the energy consumption will reach 245.3 TJ. In DSM scenario and BSP scenario the final energy demand will reduce to 230.7 TJ and 216.2 TJ. In SDG scenario, energy demand is reduced by 23.14%. The share of LPG increases to 22.36 % and electricity demand becomes more than doubles from reaching 10.64% in SDG. From year 2017-2030, there will be total accumulative increase of electricity requirement by 47.4 TJ, whereas total cumulative decrease of 433.5 TJ equivalents can be resulted in consumption of wood in SDG scenario. Cost-Benefit analysis study revealed that DSM will require an investment of 43.03K US$ for demand technologies and will reduce emission by 8.69 tCO2e. DSM will be cheapest in terms of cost per GHG reduction. SDG will cost 645.46K US$ and results in reduction of GHG by 47.79K tCO2e.

scholarly journals Energy Demand and Carbon Emission Peak Forecasting of Beijing Based on Leap Energy Simulation Method

2020 ◽  
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Energy Demand ◽  
Carbon Emission ◽  
Simulation Method ◽  
Negative Influence ◽  
Low Carbon ◽  
Peak Value

<p>The long-term forecasting of the energy demand is an important issue of an area’s sustainable development, especially for mega cities such as Beijing. Beijing is changing its energy supply strategy to depend on energy imports from other provinces due to the city’s long-term low carbon sustainable development plan. Beijing has promised that it will reach the peak value of energy consumption by 2050 and the peak value of the carbon emissions by 2030. To understand whether this can be achieved, this study built an energy demand simulation model using the LEAP with different development scenarios. The results show that, the peak value of Beijing’s energy demand is between 108.25 and 131.74 Mtce during the period of 2044 to 2048, while the peak value of carbon emissions is between 134 and 139.38 million tons in 2025. We also find that adjusting the industry structure and improving the tertiary industry’s energy usage efficiency can be efficient ways to reduce energy consumption. These approaches not only reduce the negative influence of the economic development, but also achieve the energy saving and carbon emission reducing requirements. This study provides an interpretation of the implications for the future energy and climate policies of Beijing.</p>

scholarly journals Present Situation of Electrical Energy Demand, Supply, Projection of Demand-supply and Renewable Energy Utilization and Progress

2020 ◽  
Author(s):  
Md Nazmul Islam
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Energy Demand ◽  
Electrical Energy ◽  
Present Situation ◽  
Energy Utilization ◽  
Economic Activities ◽  
Power Development ◽  
Per Capita ◽  
Renewable Energy Generation

<p>A brief overview of present electricity demand, supply, projection of them and renewable energy generation and progress has been presented in this paper. Electricity is the major source of power for most of the country's economic activities. According to the Bangladesh Power Development Board in July 2018, 90 percent of the population had access to electricity. However per capita energy consumption in Bangladesh is considered low. The country has a very limited energy reserve; small amounts of oil, coal and countable natural gas reserves. The country suffers an internal energy struggle, as about 88% of the country’s power producing thermal plants are gas-based. To solve this problem, renewable energy is being used.</p>

scholarly journals Projection of Carbon Dioxide (CO2) Emissions in Coming Decades in Indian Context

2012 ◽  
Vol 9 (1) ◽  
pp. 17-22
Author(s):  
I. Nawaz
Keyword(s):  
Energy Consumption ◽  
Population Growth ◽  
Energy Demand ◽  
Electricity Generation ◽  
Fossil Fuels ◽  
Co2 Concentration ◽  
Indian Context ◽  
Oil And Natural Gas ◽  
Per Capita ◽  
Carbon Dioxide Co2

Every observable movement involves energy. Hence, energy is obviously an important determinant in the development of a nation. To be specific, the standard of living is directly related to the per capita energy consumption in the region. The per capita energy consumption is mostly due to consumption of electricity. Therefore, electric power is one of the key factors in development of a country. The combined effect of population growth and increase in industrial, domestic and agricultural activities are inevitable and the basic reason for the increase in the worldwide energy demand. Particularly in the Indian context, the power demand is likely to increase by 7% per annum in the next few decades; assuming a GDP growth of 9%. The major resources of electricity generation are the conventional fossil fuels: coal, oil and natural gas. At present, 55% of electricity generated in India is from coal. However, use of coal for electricity generation results in increase of CO2 concentration in atmosphere. In this study, an attempt has been made to estimate the increase in CO2 emission on the basis of statistical analysis using the available data of power production and projected population growth.

scholarly journals A hierarchical multi-resolution agent-based modeling and simulation framework for household electricity demand profile

SIMULATION ◽  
2020 ◽  
Vol 96 (8) ◽  
pp. 655-678 ◽  
Author(s):  
Imran Mahmood ◽  
Quair-tul-ain ◽  
Hasan Arshad Nasir ◽  
Fahad Javed ◽  
José A Aguado
Keyword(s):  
Modeling And Simulation ◽  
Energy Demand ◽  
Large Scale ◽  
Electricity Consumption ◽  
Agent Based Modeling ◽  
Energy Planning ◽  
Modeling Framework ◽  
Agent Based ◽  
The Individual ◽  
Domestic Electricity

Analyzing demand behavior of end consumers is pivotal in long term energy planning. Various models exist for simulating household load profiles to cater different purposes. A macroscopic viewpoint necessitates modeling of a large-scale population at an aggregate level, whereas a microscopic perspective requires measuring loads at a granular level, pertinent to the individual devices of a household. Both aspects have lucrative benefits, instigating the need to combine them into a modeling framework which allows model scalability and flexibility, and to analyze domestic electricity consumption at different resolutions. In this applied research, we propose a multi-resolution agent-based modeling and simulation (ABMS) framework for estimating domestic electricity consumption. Our proposed framework simulates per minute electricity consumption by combining large neighborhoods, the behavior of household individuals, their interactions with the electrical appliances, their sociological habits and the effects of exogenous conditions such as weather and seasons. In comparison with the existing energy models, our framework uniquely provides a hierarchical, multi-scale, multi-resolution implementation using a multi-layer architecture. This allows the modelers flexibility in order to model large-scale neighborhoods at one end, without any loss of expressiveness in modeling microscopic details of individuals’ activities at house level, and energy consumption at the appliance level, at the other end. The validity of our framework is demonstrated using a case study of 264 houses. A validated ABMS framework will support: (a) Effective energy planning; (b) Estimation of the future energy demand; (c) and the analysis of the complex dynamic behavior of the consumers.

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