Forecasting seasonal variations in electricity consumption and electricity usage efficiency of industrial sectors using a grey modeling approach

Energy ◽  
2021 ◽  
Vol 222 ◽  
pp. 119952
Author(s):  
Hai-Bao Chen ◽  
Ling-Ling Pei ◽  
Yu-Feng Zhao
Keyword(s):  
Seasonal Variations ◽  
Electricity Consumption ◽  
Modeling Approach ◽  
Industrial Sectors ◽  
Usage Efficiency

scholarly journals ESTIMATIONS OF CARBON FOOTPRINT FROM ELECTRICITY CONSUMPTION DURING COVID-19 LOCKDOWN AND PRE-LOCKDOWN IN BUTUAN CITY

2021 ◽  
Vol XLVI-4/W6-2021 ◽  
pp. 49-56
Author(s):  
L. C. S. Asube ◽  
R. L. Sinadjan
Keyword(s):  
Carbon Dioxide ◽  
Spatial Distribution ◽  
Greenhouse Gas ◽  
Carbon Footprint ◽  
Carbon Dioxide Emissions ◽  
Electricity Consumption ◽  
Public Buildings ◽  
Industrial Sectors ◽  
Northern Areas ◽  
The Mean

Abstract. The electricity consumption for commercial, residential, and industrial sectors is considered the primary cause of increasing carbon dioxide emissions. To calculate the carbon footprint, the researcher used Carbon Footprint Ltd. This study aims to quantify the carbon footprint associated with the consumption of electricity by sectors (residential, commercial, industrial, public buildings, and streetlights) in Butuan City during the pre-lockdown period (January and February), and then compare these with the carbon footprint calculated during the lockdown period (March and April 2020). A GIS-based approach was applied to generate the spatial distribution across the 86 barangays of Butuan City. The study findings that the carbon footprint in the lockdown period is ∼ −17% lower than the mean carbon footprint calculated for the pre-lockdown period. In absolute values, the total estimated carbon footprint during the pre-lockdown and lockdown period was ∼ 10,947 mtCo2e and ∼ 9,138 mtCo2e, respectively. Furthermore, the findings imply that the central and northern areas have the highest impact of savings on average ∼ 130 mtCo2e of greenhouse gas avoided by barangays. This research provides quantitative insight to understand the measured generated in lockdown and pre-lockdown periods.

scholarly journals Industrial Electrification and Efficiency: Decomposition Evidence from the Korean Industrial Sector

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5120
Author(s):  
Jiyong Park ◽  
Taeyoung Jin ◽  
Sungin Lee ◽  
Jongroul Woo
Keyword(s):  
Decomposition Analysis ◽  
Electricity Consumption ◽  
Industrial Sector ◽  
Intensity Effect ◽  
Production Effect ◽  
Industrial Sectors ◽  
Index Approach ◽  
Efficiency Decomposition ◽  
Factor Decomposition ◽  
Efficiency Effects

For this study, we conducted a decomposition analysis of industrial electricity consumption based on the logarithmic mean Divisia index approach. An empirical dataset consisting of 11 industrial sectors in Korea from 2000 to 2018 was used. The three-factor decomposition equation was extended to include four factors by decomposing the energy intensity effect into electrification and electricity consumption efficiency effects. The empirical results are summarized as follows: The increase in electricity consumption in the Korean industrial sector from 2000 to 2018 is mostly caused by the production effect. While the structure effect decreases electricity consumption, the intensity effect increases it. The key findings indicate that the hidden electrification effect can be confusing to researchers with regard to the intensity effect. The empirical evidence suggests that the intensity effect has a positive effect on electricity consumption induced by the electrification effect, although the efficiency effect continuously decreased electricity consumption. The decomposition results of some sectors show that electrification, rather than the production effect, contributed the most to the increase in electricity consumption. This implies that while replacing fuel with electricity has been successfully achieved in several sectors, there are still challenges regarding increasing energy efficiency and expanding clean electricity generation.

scholarly journals An Adaptive Basin Management Rule to Improve Water Allocation Resilience under Climate Variability and Change—A Case Study in the Laja Lake Basin in Southern Chile

Water ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1733 ◽  
Author(s):  
Enrique Muñoz ◽  
Christian Guzmán ◽  
Yelena Medina ◽  
Jan Boll ◽  
Victor Parra ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Water Allocation ◽  
Hydrological Modeling ◽  
Allocation Rule ◽  
Lake Basin ◽  
Southern Chile ◽  
Modeling Approach ◽  
Industrial Sectors ◽  
Hydrological System

Due to population growth and expansion in the agricultural and industrial sectors, the demand for water has increased. However, water availability in some regions has decreased due to climate change trends and variability, necessitating innovative strategies and adaptation in water allocation to avoid conflicts among users in a hydrological system. This paper presents a resilience analysis and a conceptual hydrological modeling approach to evaluate the resilience capacity of a new water allocation rule in the Laja Lake basin in southern Chile. Resilience assessments included absorptive and adaptive capacities with four system states: resilient, susceptible, resistant, and vulnerable. A modeling approach was used considering the climate variability uncertainty and climate change trends of the Laja system. Characterization of adaptive and absorptive capacities showed that the Laja Lake basin moved from resistant to vulnerable. Hydrological modeling analyses showed that after a new water allocation agreement, the Laja Lake system is moving from vulnerable to susceptible, since the new rule has more adaptive alternatives to face climate variability. The new rule diminishes the possibilities of conflicts among users, ensuring the fulfillment of water needs for uses such as farming and ecosystem services such as landscaping, and allows for increased water allocation for energy in wet hydrological years.

The targeting of industrial energy audits for DSM planning

2006 ◽  
Vol 17 (1) ◽  
pp. 58-65 ◽  
Author(s):  
M I Howells
Keyword(s):  
Data Gathering ◽  
Electricity Consumption ◽  
International Studies ◽  
System Planning ◽  
Industrial Sectors ◽  
Data Loggers ◽  
Industrial Energy ◽  
Energy Audits ◽  
The Impact ◽  
Sector Data

The scope of this section of the study is to establish which industries to target for energy audits and demand side management (DSM) projects. As only a limited number of audits will be conducted, it is important to establish how to maximise the return on the invested efforts and resources. The aim is thus, to develop a ranking of industries based on their potential for savings from DSM interventions. It considers the following criteria: 1. Electricity consumption and potential DSM savings from retrofits at existing plants; 2. Electricity consumption and potential DSM savings for new plants; 3. Potential DSM interventions by industry; 4. The costs of a suite of DSM interventions by industry; and 5. The technical ease with which DSM may be implemented by industry. The potential for DSM savings for different industrial sectors is evaluated based on these criteria, using aggregated values sourced from local and international studies. DSM measures are applied to the various ‘end uses’ of electricity within each industry. From these we suggest a shortlist of 10 industries to target for energy audits and data gathering. We consider both industry and mining, and refer to the group collectively as industry. The data gathered in the energy audits will be used to refine estimates of the potential for DSM savings in each sector. Data loggers will be installed to measure electricity consumption and demand profiles (kW load as a function of time), which will be used to estimate the impact of DSM interventions on national demand for energy and power. This can provide valuable input to power system planning and analysis in the future.

scholarly journals Management of economical and structural changes of business in energy-intensive industrial sectors: Using the example of the petrochemical industry

2020 ◽  
pp. 65-72
Author(s):  
Ilshat Khairullin ◽  
Alina Khasanova ◽  
Guzel Khaziakhmetova
Keyword(s):  
Petrochemical Industry ◽  
Structural Changes ◽  
Raw Materials ◽  
Manufacturing Sector ◽  
Electricity Consumption ◽  
Investment Activity ◽  
Average Growth ◽  
Production Chain ◽  
Industrial Sectors ◽  
High Level

The petrochemical industry is one of the main branches of Russian industry development. The average growth rate of the petrochemical industry in 2016-2018 was higher than in the manufacturing sector-about 5%; in 2019, it was 2.7%. The growth of production due to the high level of demand for the products of petrochemical enterprises determines the same characteristic of their investment activity. The desire of Russian petrochemical companies to develop the production of high-value products, economic analysis of production, structural analysis of production, availability of raw materials, assessment of energy intensity and competitiveness of existing technologies is extremely important. In this regard, the article is devoted to the management of structural changes in the business in the petrochemical industry. Recently, an analysis of average electricity consumption by petrochemical enterprises in Russia and abroad shows that enterprises lag far behind, although foreign enterprises produce slightly more than Russian enterprises in terms of production volumes. The main reason for the desire of enterprises to restructure are, of course, unsatisfactory values of financial indicators, there is also a shortage of working capital, large amounts of accounts payable, operating costs. In the process of enterprise restructuring, it is increasingly planned to create gas and petrochemical conglomerates-clusters that form the basis for the development of production; the production chain will be implemented from the production of hydrocarbons to the production of consumer goods.

Study of Energy Efficiency Upgradation and Investment Risk

2021 ◽  
pp. 18-28
Author(s):  
Tandin Wangchuk ◽  
Tashi Tobgay ◽  
Pema Nidup ◽  
Yeshi Seldon ◽  
Roshan Chhetri
Keyword(s):  
Energy Efficiency ◽  
Distribution System ◽  
Electricity Consumption ◽  
Policy Framework ◽  
Load Growth ◽  
Industrial Sectors ◽  
Cost Of Energy ◽  
The Government ◽  
The Cost ◽  
Domestic Electricity

It was about 60 years ago when electricity was first introduced in Bhutan and today, more than 99.97 percent of households are electrified. Since electricity is superior to other form of energy, everybody prefers it. The electricity demand is increasing rapidly with development in all fronts. Distribution system are currently experiencing rapid changes in domestic load growth. With increasing domestic electricity consumption, Royal Government of Bhutan (RGoB) recognizes the importance of energy management and reduction at the consumer end to further minimize carbon emission and to increase the exports. While achieving 100 percent electrification of Bhutan, the increased consumer reduces the export, reducing the total revenue generated. The study identifies possible barriers of energy efficiency in domestic and industrial sectors. The lack of policy framework is one of the main reasons for the decline in interest in energy efficiency. The government subsidy is another cause of the same. This in turn led to negligence of Energy Efficiency (EE) programs by the consumers. On the contrary, consumers feel that the cost of energy is high, despite the fact that urban dwellers' expenditure capacity and productivity upgradation potential are also high. Based on a case study of residential and commercial buildings in the Phuntsholing region, as well as industrial sectors in Pasakha, this paper examines the metrics needed to make energy efficiency upgrade decisions. The study finds respondents were more likely to choose equipment that suited their budget rather than those that are energy efficient. Another big impediment to investment in energy efficiency in the region is a lack of energy efficiency awareness and information.

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