Modelling Industrial End Use Electricity Consumption using Statistically Adjusted Engineering Estimates

Author(s):  
Kenneth H. Tiedemann
2018 ◽  
Vol 3 (1) ◽  
pp. 34-46
Author(s):  
Oyeleke Oluwaseun Oyerinde

Understanding locational variations in household energy consumption is critical to ascertaining dichotomies of energy use, need and wellbeing. In recognition of this, the study compares quantities of household energy consumption among urban, peri-urban and rural areas in Ibadan region, Nigeria using Net Heating Value (NHV). It employs a stratified random sampling of 166 households across the three zones. Results show that electricity, majorly used for appliances is dominant in the urban in contrast to fuelwood at the peri-urban and rural areas where cooking is the major end use. Though the quantities of total household energy consumption do not vary significantly at p < .05, electricity consumption is however significantly higher in urban households than in peri-urban and rural households. The Multiple Regression Analysis (MRA) and Analysis of Variance (ANOVA) indicate that socioeconomic characteristics significantly influenced the quantity of household energy consumption at the urban area only. Major variations between locations appear to be in energy types and end uses rather than quantity consumed.


Author(s):  
Kelly M. Twomey ◽  
Michael E. Webber

Previous analyses have concluded that the United State’s water sector uses over 3% of national electricity consumption for the production, conveyance, and treatment of water and wastewater and as much as 10% when considering the energy required for on-site heating, cooling, pumping, and softening of water for end-use. The energy intensity of water is influenced by factors such as source water quality, its proximity to a water treatment facility and end-use, its intended end-use and sanitation level, as well as its conveyance to and treatment at a wastewater treatment facility. Since these requirements differ by geographic location, climate, season, and local water quality standards, the energy consumption of regional water systems vary significantly. While national studies have aggregated averages for the energy use and energy intensity of various stages of the of the US water system, these estimates do not capture the wide disparity between regional water systems. For instance, 19 percent of California’s total electricity generation is used to withdraw, collect, convey, treat, distribute, and prepare water for end-use, nearly doubling the national average. Much of this electricity is used to move water over high elevations and across long distances from water-rich to water-stressed regions of the state. Potable water received by users in Southern California has typically been pumped as far as 450 miles, and lifted nearly 2000ft over the system’s highest point in the Tehachapi Mountains. Consequently, the energy intensity of San Diego County’s water is approximately 11,000 kWh per million gallons for pumping treatment and distribution, as compared to the US average which is estimated to be in the vicinity of 1,500–2,000 kWh per million gallons. With added pressures on the state’s long-haul transfer systems from population growth and growing interest in energy-intensive desalination, this margin will likely increase. This manuscript consists of a first-order analysis to quantify the energy embedded in the US public water supply, which is the primary water source to residential, commercial, and municipal users. Our analysis finds that energy use associated with the public water supply is 4.7% of the nation’s annual primary energy and 6.1% of national electricity consumption, respectively. Public water and wastewater pumping, treatment, and distribution, as well as commercial and residential water-heating were considered in this preliminary work. End-use energy requirements associated with water for municipal, industrial, and self-supplied sectors (i.e. agriculture, thermoelectric, mining, etc.) were not included in this analysis.


2017 ◽  
Vol 1 (2) ◽  
pp. 219-251 ◽  
Author(s):  
IAN SCHNEIDER ◽  
CASS R. SUNSTEIN

AbstractWholesale prices for electricity vary significantly due to high fluctuations and low elasticity of short-run demand. End-use customers have typically paid flat retail rates for their electricity consumption, and time-varying prices (TVPs) have been proposed to help reduce peak consumption and lower the overall cost of servicing demand. Unfortunately, the general practice is an opt-in system: a default rule in favor of TVPs would be far better. A behaviorally informed analysis also shows that when transaction costs and decision biases are taken into account, the most cost-reflective policies are not necessarily the most efficient. On reasonable assumptions, real-time prices can result in less peak conservation of manually controlled devices than time-of-use or critical-peak prices. For that reason, the trade-offs between engaging automated and manually controlled loads must be carefully considered in time-varying rate design. The rate type and accompanying program details should be designed with the behavioral biases of consumers in mind, while minimizing price distortions for automated devices.


2021 ◽  
Vol 16 (2) ◽  
pp. 395-410 ◽  
Author(s):  
Shogo Sakamoto ◽  
Yu Nagai ◽  
Masahiro Sugiyama ◽  
Shinichiro Fujimori ◽  
Etsushi Kato ◽  
...  

AbstractJapan’s long-term strategy submitted to the United Nations Framework Convention on Climate Change emphasizes the importance of improving the electrification rates to reducing GHG emissions. Using the five models participating in Energy Modeling Forum 35 Japan Model Intercomparison project (JMIP), we focused on the demand-side decarbonization and analyzed the final energy composition required to achieve 80% reductions in GHGs by 2050 in Japan. The model results show that the electricity share in final energy use (electrification rate) needs to reach 37–66% in 2050 (26% in 2010) to achieve the emissions reduction of 80%. The electrification rate increases mainly due to switching from fossil fuel end-use technologies (i.e. oil water heater, oil stove and combustion-engine vehicles) to electricity end-use technologies (i.e. heat pump water heater and electric vehicles). The electricity consumption in 2050 other than AIM/Hub ranged between 840 and 1260 TWh (AIM/Hub: 1950TWh), which is comparable to the level seen in the last 10 years (950–1035 TWh). The pace at which electrification rate must be increased is a challenge. The model results suggest to increase the electrification pace to 0.46–1.58%/yr from 2030 to 2050. Neither the past electrification pace (0.30%/year from 1990 to 2010) nor the outlook of the Ministry of Economy, Trade and Industry (0.15%/year from 2010 to 2030) is enough to reach the suggested electrification rates in 2050. Therefore, more concrete measures to accelerate dissemination of electricity end-use technologies across all sectors need to be established.


2019 ◽  
Vol 84 ◽  
pp. 01010
Author(s):  
Janusz Sowiński

Ongoing structural changes on the electricity market and technological development affecting consumers and producers increase uncertainty concerning demand for electricity, even in a short-time horizon. Because of this, it is necessary to develop forecasting methods. This paper presents a method for forecasting electricity demand based on the idea of an end-use model. Such models use regional electricity consumption rates and population growth predictions as input data, on the basis of which they yield electricity demand forecast for the whole country and for particular regions. The model also deploys stochastic differential equations for simulating time-variation of electricity consumption rates by means of the Euler method. On the basis of available statistical data, the results of a forecast in a medium-term horizon are presented.


Energy Policy ◽  
2013 ◽  
Vol 61 ◽  
pp. 888-893 ◽  
Author(s):  
Zhengen Ren ◽  
Phillip Paevere ◽  
George Grozev ◽  
Stephen Egan ◽  
Julia Anticev

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