Assessment of end-use electricity consumption and peak demand by Townsville's housing stock

Energy Policy ◽  
2013 ◽  
Vol 61 ◽  
pp. 888-893 ◽  
Author(s):  
Zhengen Ren ◽  
Phillip Paevere ◽  
George Grozev ◽  
Stephen Egan ◽  
Julia Anticev
2017 ◽  
Author(s):  
Eric Wilson ◽  
Craig Christensen ◽  
Scott Horowitz ◽  
Joseph Robertson ◽  
Jeff Maguire

2021 ◽  
pp. 103640
Author(s):  
Seyedehrabeeh Hosseinihaghighi ◽  
Karthik Panchabikesan ◽  
Sanam Dabirian ◽  
Jessica Webster ◽  
Mohamed Ouf ◽  
...  

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 208 ◽  
pp. 607-619 ◽  
Author(s):  
Frits Møller Andersen ◽  
Mattia Baldini ◽  
Lars Gårn Hansen ◽  
Carsten Lynge Jensen

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.


2012 ◽  
Vol 5 (1) ◽  
pp. 455-471
Author(s):  
E. J. Pieterse-Quirijns ◽  
E. J. M. Blokker ◽  
E. van der Blom ◽  
J. H. G. Vreeburg

Abstract. Existing guidelines related to the water demand of non-residential buildings are outdated and do not cover hot water demand for the appropriate selection of hot water devices. Moreover, they generally overestimate peak demand values required for the design of an efficient and reliable water system. Recently, a procedure was developed based on the end-use model SIMDEUM® to derive design rules for peak demand values of both cold and hot water during various time steps for several types and sizes of non-residential buildings, i.e. offices, hotels and nursing homes. In this paper, the design rules are validated with measurements of cold and hot water patterns on a per second base. The good correlation between the simulated patterns and the measured patterns indicates that the basis of the design rules, the SIMDEUM simulated standardised buildings, is solid. Moreover, the SIMDEUM based rules give a better prediction of the measured peak values for cold water flow than the existing guidelines. Furthermore, the new design rules can predict hot water use well. In this paper it is illustrated that the new design rules lead to reliable and improved designs of building installations and water heater capacity, resulting in more hygienic and economical installations.


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