scholarly journals Cluster-based characterisation of Australian apartment electricity demand and its implications for low-carbon cities

Author(s):  
Mike B Roberts ◽  
Navid Haghdadi ◽  
Anna Bruce ◽  
Iain MacGill

Understanding of residential electricity demand has application in efficient building design, network planning and broader policy and regulation, as well as in planning the deployment of energy efficiency technologies and distributed energy resources with potential emissions reduction benefits as well societal and household cost savings. Very few studies have explored the specific demand characteristics of apartments, which house a growing proportion of the global urban population. We present a study of apartment electricity loads, using a dataset containing a year of half-hourly electricity data for 6000 Australian households, to examine the relationship between dwelling type, demographic characteristics and load profile. The focus on apartments, combined with the size of the data set, and the representative seasonal load profiles obtained through clustering full annual profiles, is unique in the literature. We find that median per-occupant household electricity use is 21% lower for apartments than for houses and that, on average, apartments have lower load factor and higher daily load variability, and show greater diversity in their daily peak times, resulting in a lower coincidence factor for aggregations of apartment loads. Using cluster analysis and classification, we also show the impact of dwelling type on the shape of household electricity load profiles.

2016 ◽  
Vol 28 (1) ◽  
pp. 175-199 ◽  
Author(s):  
Jacopo Torriti ◽  
Isabel Santiago

Recent research and policy studies on the low-carbon future highlight the importance of flexible electricity demand. This might be problematic particularly for residential electricity demand, which is related to simultaneous consumers’ practices in the household. This paper analyses issues of simultaneity in residential electricity demand in Spain. It makes use of the 2011 Spanish Time Use Survey data with comparisons from the previous Spanish Time Use Survey and the Harmonised European Time Use Surveys. Findings show that media activities are associated with the highest levels of continuity and simultaneity, particularly in the early and late parts of the evening during weekdays.


2019 ◽  
Vol 11 (14) ◽  
pp. 3914 ◽  
Author(s):  
Jaehyeok Kim ◽  
Minwoo Jang ◽  
Donghyun Shin

In this article, we empirically investigate the impact of the population age structure on electricity demand. Our study is motivated by suggestions from existing literature that demographic factors can play an important role in energy demand. Using Korean regional level panel data for 2000 to 2016, we estimate the long-run elasticities through employing cointegration regression and the short-run marginal effects by developing a panel error correction model. It is worth investigating the Korean case, since Korea is aging faster than any other advanced economy, and at the same time is one of the heaviest energy users in the world. To our knowledge, this is the first study analyzing how the population age structure affects residential electricity demand, based on regional data in Korea. Our analysis presents the following results. First, an increase in the youth population raises the residential electricity demand in the short- and long-run. Second, an increase in the population of people aged 65 and over also increases this electricity demand in the short- and long-run. Third, among the group of people aged 65 and over, we further investigate the impact of an older population group, aged 80 and over, but separately, on their residential electricity demand. However, in general there is no strong relationship in the short- and long-run.


2018 ◽  
Vol 39 (2) ◽  
pp. 135-146 ◽  
Author(s):  
David Jenkins

The low-carbon building design process for a building engineer is often confined to construction, building services and occupancy. However, as we see coincident changes in climate, technologies, fuels and operation, it becomes important to extend this understanding to include wider energy systems, while clarifying the importance of the built environment within that system. With energy systems, such as the National Grid, involving multiple actors from different disciplines, a key challenge is to provide guidance and future projections that are translated into different discipline-specific vernaculars, but with a genesis of common assumptions. More generally, integration across the disciplines must be reflected by modelling approaches, policy-making frameworks and outputs. This article will demonstrate the initial stages of the energy demand research of the Centre of Energy Systems Integration project, where novel modelling techniques are being used to explore the effect of future buildings on national energy systems. Practical application: The tools and techniques described within this article are designed with future industry practice in mind. The driver is the increased importance of external factors outside the traditional building envelope in determining the energy and carbon performance of a building (or buildings). Building engineers, and others within building design teams, require a new portfolio of tools and resources to better account for the impact of buildings on wider energy systems and vice versa. The role of such practitioners is therefore likely to evolve.


Author(s):  
Meryem Tumbuz ◽  
Hatice Muğlkoç

Electricity consumption increases substantially over the years where residential use significantly contributes to the overall consumption. The growth in the population and variety of home appliances together with increasing comfort levels of the people results in higher levels of residential electricity use. In fact, nearly one fourth of Turkey's total electricity consumption is due to the domestic use. To achieve global sustainability targets and reduce the overall electricity use, focusing on the domestic consumption is crucial. In this research, the energy consumptions patterns of households are determined to identify the potential electricity savings existing in the residential sector. Moreover, specific policy recommendations, which can promote the behavioral change, are driven by measuring the responsiveness of people to different measures and the combinations of these measures such as information, feedback, rewards, and social influences. A survey was conducted to determine the patterns and the responsiveness of the residential customers. The results obtained from the survey are used to depict a general view of Turkish households towards electricity consumption behaviors and their energy efficiency attitudes. Responses indicate there should be more regulations and improvements in energy policy. An electricity allocation problem is solved in order to see possible impacts of behavioral change measures on the network. Scenarios are defined for each policy and allocation problem is solved to see the possible generation cost reduction. Also, gas emissions for each scenario is recorded to understand the possible effects of policies on the environment. Results show that behavioral change studies seem to be well worth to study. In order to reach residential efficiency, possible policy alternatives are suggested for Turkish households.


2018 ◽  
Vol 36 (34_suppl) ◽  
pp. 140-140
Author(s):  
Sanjeev Balu ◽  
Gary Puckrein ◽  
Liou Xu ◽  
Alan Ryan ◽  
Kim Campbell

140 Background: G-CSFs are utilized to lower the incidence of febrile neutropenia (FN) in patients with cancers treated with chemotherapy. In 2015 filgrastim-sndz was the first biosimilar to be approved and launched in the US. Limited data exists on the impact of biosimilars on patient out-of-pocket (OOP) expenditures. The objective of this simulation model is to estimate potential OOP cost savings through use of filgrastim-sndz (FIL-S) over reference filgrastim (FIL-REF) from a Medicare lung cancer patient perspective. Methods: An Excel simulation analysis was conducted among lung cancer patients treated with biosimilar FIL-S or FIL-REF (identified through HCPCS codes). Data from the 2016 Medicare Limited Data Set was used to populate the model. Average Medicare payment to the provider and beneficiary OOP responsibility per claim of either FIL-S or FIL-REF were calculated. The average OOP reduction per claim for a FIL-S beneficiary relative to a FIL-REF beneficiary was multiplied to a hypothetical FN prevalent population of 100,000 beneficiaries (average of 10 claims per beneficiary) to estimate the potential OOP savings. Results: Data from 525 FIL-S and 621 FIL-REF claims were analyzed. The average Medicare allowed charge amount per claim for a FIL-S beneficiary was $381.7 versus $419.1 for a FIL-REF beneficiary, while corresponding average Medicare payments to the provider were $299.3 and $327.4, respectively. On an average, OOP responsibility for a FIL-S beneficiary was lower compared to a FIL-REF beneficiary ($76.4 vs. $85.0) leading to a cost saving per claim of approximately $8.60. When extrapolated to 100,000 beneficiaries (1,000,000 claims), the overall cost saving was projected to be around $8.6 million. Conclusions: Our simulation model estimated potential OOP Medicare lung cancer beneficiary savings of around $8.6 million, based on a hypothetical population of 100,000 FN beneficiaries, with the use of biosimilar FIL-S over FIL-REF. Further real-world analyses are required to evaluate the true cost savings potential with the use of biosimilars over reference biologics.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Timothy King Avordeh ◽  
Samuel Gyamfi ◽  
Alex Akwasi Opoku

Purpose The purpose of this paper is to investigate the impact of temperature on residential electricity demand in the city of Greater Accra, Ghana. It is believed that the increasing trend of temperatures may significantly affect people’s lives and demand for electricity from the national grid. Given the recurrent electricity crisis in Ghana, this study will investigate both the current and future residential energy demands in the light of temperature fluctuations. This will inform future power generation using renewable energy resources mix to find a sustainable solution to the recurrent energy demand challenges in Ghana. This study will help the Government of Ghana to better understand the temperature dependence of residential energy demand, which in turn will help in developing behavioral modification programs aimed at reducing energy consumption. Monthly data for the temperature and residential electricity consumption for Greater Accra Region from January 2007 to December 2018 obtained from the Ghana Meteorological Service (GMS) and Ghana Grid Company (Gridco), respectively, are used for the analysis. Design/methodology/approach This study used monthly time series data from 2007 to 2018. Data on monthly electricity demand and temperature are obtained from the Ghana Grid Company and GMS. The theoretical framework for residential electricity consumption, the log-linear demand equation and time series regression approaches was used for this study. To demonstrate certain desirable properties and to produce good estimators in this study, an analysis technique of ordinary least squares measurement was also applied. Findings This study showed an impact on residential electricity requirements in the selected regions of Greater Accra owing to temperature change. The analysis suggests a substantial positive response to an increase in temperature demand for residential electricity and thus indicates a growth of the region’s demand for electricity in the future because of temperature changes. As this analysis projects, the growth in the electricity demand seems too small for concern, perhaps because of the incoherence of the mechanisms used to regulate the temperature by the residents. However, two points should be considered when drawing any conclusions even in the case of Greater Accra alone. First, the growth in the demand for electricity shown in the present study is the growth of demand due only to increasing temperatures that do not consider changes in all the other factors driving the growth of demand. The electricity demand will in the future increase beyond what is induced by temperature, due to increasing demand, population and mechanization and other socioeconomic factors. Second, power consumption understated genuine electricity demand, owing to the massive shedding of loads (Dumsor) which occurred in Ghana from 2012 to 2015 in the analysis period that also applies in the Greater Accra region. Given both of these factors, the growth in demand for electricity is set to increase in response to climate change, which draws on the authorities to prepare more critically on capacity building which loads balancing. The results also revealed that monthly total residential electricity consumption, particularly the monthly peak electricity consumption in the city of Accra is highly sensitive to temperature. Therefore, the rise in temperature under different climate change scenarios would have a high impact on residential electricity consumption. This study reveals that the monthly total residential electricity demand in Greater Accra will increase by up to 3.1%. Research limitations/implications The research data was largely restricted to only one region in Ghana because of the inconsistencies in the data from the other regions. The only climate variable use was temperature because it was proven in the literature that it was the most dominant variable that affects electricity demand, so it was not out of place to use only this variable. The research, however, can be extended to capture the entire regions of the country if sponsorship and accurate data can be obtained. Practical implications The government as the policy and law-making authority has to play the most influential role to ensure adaptation at all levels toward the impact of climate change for residential consumers. It is the main responsibility of the government to arrange enough supports to help residential consumers adapt to climate change and try to make consumers self-sufficient by modification of certain behaviors rather than supply dependent. Government bodies need to carefully define their climate adaptation supports and incentive programs to influence residential-level consumption practices and demand management. Here, energy policies and investments need to be more strategic. The most critical problem is to identify the appropriate adaptation policies that favor the most vulnerable sectors such as the residential sector. Social implications To evaluate both mitigation and adaptation policies, it is important to estimate the effect of climate change on energy usage around the world. Existing empirical figures, however, are concentrated in Western nations, especially the USA. To predict how electricity usage will shift in the city of Greater Accra, Ghana, the authors used regular household electricity consumption data. Originality/value The motivation for this paper and in particular the empirical analysis for Ghana is originality for the literature. This paper demonstrates an adequate understanding of the relevant literature in modern times.


Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7163
Author(s):  
Vishnu Vijayakumar ◽  
Alan Jenn ◽  
Lewis Fulton

Fuel cell electric vehicles (FCEV) are emerging as one of the prominent zero emission vehicle technologies. This study follows a deterministic modeling approach to project two scenarios of FCEV adoption and the resulting hydrogen demand (low and high) up to 2050 in California, using a transportation transition model. The study then estimates the number of hydrogen production and refueling facilities required to meet demand. The impact of system scale-up and learning rates on hydrogen price is evaluated using standalone supply chain models: H2A, HDSAM, HRSAM and HDRSAM. A sensitivity analysis explores key factors that affect hydrogen prices. In the high scenario, light and heavy-duty fuel cell vehicle stocks reach 12.5 million and 1 million by 2050, respectively. The resulting annual hydrogen demand is 3.9 billion kg, making hydrogen the dominant transportation fuel. Satisfying such high future demands will require rapid increases in infrastructure investments starting now, but especially after 2030 when there is an exponential increase in the number of production plants and refueling stations. In the long term, electrolytic hydrogen delivered using dedicated hydrogen pipelines to larger stations offers substantial cost savings. Feedstock prices, size of the hydrogen market and station utilization are the prominent parameters that affect hydrogen price.


2021 ◽  
Vol 260 ◽  
pp. 01014
Author(s):  
Yudong Tan ◽  
Tong Jiang ◽  
Hao Xiao ◽  
Jingyi Tang ◽  
Zhen Jia

Climate change directly make the demand for electricity diversified and uncertain, which increase the risk of power grid operation. This paper attempts to explore the impact of extreme climate change on the fluctuation of China's electricity energy demand from the perspective of climate change. Based on the panel data of 90 prefecture-level cities in China from 1989 to 2017, the author builds an econometric model to test the impact of extreme low temperature and extreme high temperature on electricity demand. The results show that the occurrence of extreme high temperature weather has a positive effect on residential electricity demand while the emergence of extreme low temperature weather has a negative effect.


2018 ◽  
Vol 7 (2) ◽  
pp. 247-266
Author(s):  
Stranti Nastiti Kusumaningrum

Since 2013, the residential electricity price for High VA (Volt-Ampere) households has changed due to changes in pricing policies. This paper analyzes the responsiveness of residential electricity demand to the change in electricity prices and income among two different household groups (Low VA and High VA) in 2011 and 2014. Using an electricity consumption model and the Quantile Regression method, the results show that residential electricity demand is price and income inelastic. Income elasticity is lower than price elasticity. Furthermore, the effects on price elasticity also found in the Low VA group, whose rate remained stable. At the same time, evidence proves the impact of the change in pricing policy on income elasticity remains unclear. This result implies that the government has to be more careful in regulating electricity prices for the low VA group, while maintaining economic stability.DOI: 10.15408/sjie.v7i2.6048


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