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Journal articles on the topic 'Domestic electricity'

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Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

Pradhan, Gyanendra Lal. "Electricity: Domestic Consumption Versus Export." Hydro Nepal: Journal of Water, Energy and Environment 3 (May 26, 2009): 16–18. http://dx.doi.org/10.3126/hn.v3i0.1913.

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Due to its unique geography, Nepal is gifted with very high hydropower potential, far greater than generally accepted figure of 83,000 MW and 43000 MW of theoretical and techno-financial viability. Our neighbors India, Pakistan and Bangladesh are suffering from huge power shortages. There is no point in debating whether Nepal’s hydropower should be for domestic consumption or for export because the potential of generating hydropower in Nepal is far greater than its domestic consumption, even in 2050. Due to the lack of appropriate policies, however, Nepal suffers from long hours of load shedding. The government policy to subsidize petroleum products was a big mistake for, like Bhutan, electricity should have been the cheapest source of energy. Politicians are focusing mostly in export oriented projects; whereas, higher importance should have been given to projects for domestic consumption. We should aim at producing twice the needed internal demand. Nepal is poised to reap huge benefits from hydropower.Key words: Hydropower; domestic consumption; load shedding; export; Nepaldoi: 10.3126/hn.v3i0.1913Hydro Nepal Journal of Water, Energy and EnvironmentIssue No. 3, July 2008. Page: 16-18

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2

Deering, S., M. Newborough, and S. D. Probert. "Rescheduling electricity demands in domestic buildings." Applied Energy 44, no. 1 (January 1993): 1–62. http://dx.doi.org/10.1016/0306-2619(93)90044-p.

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3

Motlagh, Omid, Phillip Paevere, Tang Sai Hong, and George Grozev. "Analysis of household electricity consumption behaviours: Impact of domestic electricity generation." Applied Mathematics and Computation 270 (November 2015): 165–78. http://dx.doi.org/10.1016/j.amc.2015.08.029.

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4

Jiménez Betancourt, Ramón Octavio, Juan Miguel González López, Emilio Barocio Espejo, Antonio Concha Sánchez, Efraín Villalvazo Laureano, Sergio Sandoval Pérez, and Luis Contreras Aguilar. "IoT-Based Electricity Bill for Domestic Applications." Sensors 20, no. 21 (October 29, 2020): 6178. http://dx.doi.org/10.3390/s20216178.

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This work proposes a real-time electricity bill for quantifying the energy used in domestic facilities in Mexico. This bill is a low-cost tool that takes advantage of the IoT technology for generating an easy reading real-time bill allowing the customers to constantly review and administrate their energy consumption. Using low-cost sensors and the electronic board Particle® Photon, an energy meter is proposed. The presented prototype is extremely compact and satisfies safety measures to be used by anyone in a domestic installation. The measurement data is displayed and processed in real-time, and an appropriate algorithm determines the accumulated kWh. The energy consumed is displayed using an Html interface of easy interpretation for the customers, given recommendations about their consumption habits and some alarms in case of abnormal or high consumption. As a reinforcement measure for avoiding large consumption bills, the system is programmed to send messages to the user, remembering if the estimated consumption is large.

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5

Tandon, G., and B. Natarajan. "Contribution of Appliances to Domestic Electricity Consumption." IFAC Proceedings Volumes 22, no. 17 (October 1989): 357–60. http://dx.doi.org/10.1016/s1474-6670(17)52954-7.

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6

Kadete, H. "Electricity consumption patterns in domestic House holds." Tanzania Journal of Engineering and Technology 18, no. 1 (June 30, 1994): 16–26. http://dx.doi.org/10.52339/tjet.v18i1.159.

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7

Page, Tom. "Habits and Behaviours in the Use of Domestic Lighting." International Journal of Sustainable Economies Management 8, no. 2 (April 2019): 68–85. http://dx.doi.org/10.4018/ijsem.2019040105.

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The issue of electricity consumption reduction in the domestic sector is becoming a pivot matter, with domestic energy use ever-increasing and the rising awareness of its significant impact on the environment. As lighting is responsible for 19% of the average house's electricity consumption it was deemed a suitable area of study to gather behaviours and habits that can be targeted to encourage sustainable behaviour and ultimately reduce electricity consumption. The aim of this research is to investigate consumer habits and behaviours in home lighting in UK households and identify behaviours and habits to change in order to reduce home lighting electricity consumption. The research was used to identify electricity wasteful habits and behaviours that can be targeted. An online survey and a seven day participant lighting diary were used to gather quantitative and qualitative data on consumers' lighting behaviours and habits.

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8

Ilie, Irinel-Sorin, Ignacio Hernando-Gil, and Sasa Z. Djokic. "Risk assessment of interruption times affecting domestic and non-domestic electricity customers." International Journal of Electrical Power & Energy Systems 55 (February 2014): 59–65. http://dx.doi.org/10.1016/j.ijepes.2013.08.030.

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9

Onuonga, Susan M. "Economic Growth, Electricity Access, and Remittances in Kenya." Management and Economics Research Journal 6 (2020): 1. http://dx.doi.org/10.18639/merj.2020.1100554.

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This paper investigated the long-run relationship between gross domestic product, access to electricity, and remittances within the multivariate framework in Kenya using the data for the period 1987-2018. The autoregressive distributed lag (ARDL) bounds test was used to investigate the long-run relationship. Causality between variables was investigated by use of the Granger causality method. The bounds test indicated that there is cointegration when gross domestic product, electricity access, and remittances are dependent variables. The long-run estimation of coefficients suggests that electricity access and remittances have significant positive impact on economic growth in Kenya in the sample period. Causality analysis provides evidence that there is unidirectional Granger causality running from gross domestic product to electricity access and not vice versa and from gross domestic product to remittances and not vice versa. There was no causality between remittances and electricity access. The policy implications of the paper suggest that the government and other companies concerned should enhance electricity access and encourage inflows of remittances as these contribute positively to economic growth in Kenya.

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10

Bojnec, Štefan, and Drago Papler. "Deregulation of Electricity Market and Drivers of Demand for Electrical Energy in Industry." Management and Production Engineering Review 7, no. 3 (September 1, 2016): 4–10. http://dx.doi.org/10.1515/mper-2016-0021.

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Abstract This paper investigates deregulation of electricity market focusing on electricity prices and drivers of demand for electrical energy in industry in Slovenia. The patterns in evolution of real electricity price developments and the three main components of the electricity price are calculated: liberalized market share for purchased electricity price, regulated infrastructure share for use of electricity network grids and mandatory state charges in the sale of electricity (duty, excise duty and value-added tax). To calculate the real value of electricity prices, producer price index of industrial commodities for electricity prices in industry is used as deflator and implicit deflator of gross domestic product for the size of the economy. In the empirical econometric part is used regression analysis for the amount electricity consumption in the industry depending on the real gross domestic product, direct and cross-price elasticity for natural gas prices in the industry. The results confirmed volatility in real electricity price developments with their increasing tendency and the increasing share of different taxes and state charges in the electricity prices for industry. Demand for electrical energy in industry is positively associated with gross domestic product and price of natural gas as substitute for electrical energy in industry use, and negatively associated with prices of electrical energy for industry.

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11

Lee, Geun-Cheol, and Junghee Han. "Forecasting Daily Peak Load of Domestic Electricity Demand." Journal of Industrial Economics and Business 30, no. 4 (August 31, 2017): 1205–18. http://dx.doi.org/10.22558/jieb.2017.08.30.4.1205.

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12

Pothitou, Mary, Richard F. Hanna, and Konstantinos J. Chalvatzis. "ICT entertainment appliances’ impact on domestic electricity consumption." Renewable and Sustainable Energy Reviews 69 (March 2017): 843–53. http://dx.doi.org/10.1016/j.rser.2016.11.100.

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13

Webb, Thomas L., Yael Benn, and Betty P. I. Chang. "Antecedents and consequences of monitoring domestic electricity consumption." Journal of Environmental Psychology 40 (December 2014): 228–38. http://dx.doi.org/10.1016/j.jenvp.2014.07.001.

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14

Evans, R. J., and K. Little. "Fracture due to shock from domestic electricity supply." Injury 22, no. 3 (May 1991): 231–32. http://dx.doi.org/10.1016/0020-1383(91)90049-k.

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15

Ge, Yan, Chengke Zhou, and Donald M. Hepburn. "Domestic electricity load modelling by multiple Gaussian functions." Energy and Buildings 126 (August 2016): 455–62. http://dx.doi.org/10.1016/j.enbuild.2016.05.060.

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16

Rambeli@Ramli, Norimah, Norasibah Abdul Jalil, Emilda Hashim, Maryam Mahdinezhad, Asmawi Hashim, Belee ., and Syazwani Mohd Bakri. "The Impact of Selected Macroeconomic Variables on Carbon Dioxide (Co2) Emission in Malaysia." International Journal of Engineering & Technology 7, no. 4.15 (October 7, 2018): 204. http://dx.doi.org/10.14419/ijet.v7i4.15.21447.

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This study tries to investigate the relationship between gross domestic product, electricity product, net trade, electricity consumption and oil price on carbon dioxide (Co2) emission in Malaysia. Thus, it uses the Ordinary Least Square (OLS) method in structuring the model estimation. By utilizing yearly time series data from 1980 to 2017, this study focuses on economics and statistical criteria analyses. According to sign analysis, the results suggest that, gross domestic product, electricity product, net trade and energy consumption affect carbon dioxides (Co2) positively. In contrast, the oil price affects carbon dioxides (Co2) negatively. Furthermore, the results in statistical criteria conclude that the gross domestic product, electricity product and energy consumption are the dominant factors that influence carbon dioxides combustion in the long run in Malaysia.

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Alkanu, David Pandu, Tunggul Anshari Setia Negara, and Istislam Istislam. "Keabsahan Hukum Kebijakan Transfer Kuota Domestic Market Obligation (DMO) Batu Bara." Jurnal Ilmiah Pendidikan Pancasila dan Kewarganegaraan 5, no. 1 (June 30, 2020): 51. http://dx.doi.org/10.17977/um019v5i1p51-57.

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This study aimed to analyze the legal validity of the DMO policy which was based on the Minister of Energy and Mineral Resources Letter 2783/32/MEM.B/2018 dated April 19, 2018, and the legal implications of the DMO quota transfer policy on mining companies. This research was a normative study using a statute approach. The results showed the coal DMO quota transfer policy was a policy that recognized its existence and had binding legal force. The DMO quota transfer policy had implications for fulfilling quotas for mining companies that contract with State Electricity Enterprise and mining companies that did not contract with State Electricity Enterprise. Mining companies that contract with State Electricity Enterprise could buy and sell coal which was more than the 25% coal DMO obligation with State Electricity Enterprise. Quota transfers made by mining companies that did not contract with State Electricity Enterprise had an uncertain price.

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18

Sreekanth, K. J., S. Jayaraj, and N. Sudarsan. "Economic Impact of CDM Implementation through Alternate Energy Resource Substitution." International Journal of Renewable Energy Development 2, no. 1 (February 2, 2013): 13. http://dx.doi.org/10.14710/ijred.2.1.13-18.

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Since the Kyoto protocol agreement, Clean Development Mechanism (CDM) hasgarnered large emphasis in terms of certified emission reductions (CER) not only amidst the globalcarbon market but also in India. This paper attempts to assess the impact of CDM towardssustainable development particularly in rural domestic utility sector that mainly includes lightingand cooking applications, with electricity as the source of energy. A detailed survey has undertakenin the state of Kerala, in southern part of India to study the rural domestic energy consumptionpattern. The data collected was analyzed that throws insight into the interrelationships of thevarious parameters that influence domestic utility sector pertaining to energy consumption byusing electricity as the source of energy. The interrelationships between the different parameterswere modeled that optimizes the contribution of electricity on domestic utility sector. The resultswere used to estimate the feasible extent of CO2 emission reduction through use of electricity as theenergy resources, vis-à-vis its economic viability through cost effectiveness. The analysis alsoprovides a platform for implementing CDM projects in the sector and related prospects withrespects to the Indian scenario.

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19

Bernal, Bruno, Juan Carlos Molero, and Fernando Perez De Gracia. "Impact of fossil fuel prices on electricity prices in Mexico." Journal of Economic Studies 46, no. 2 (March 4, 2019): 356–71. http://dx.doi.org/10.1108/jes-07-2017-0198.

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Purpose The purpose of this paper is to examine the impact of fossil fuel prices – crude oil, natural gas and coal – on different electricity prices in Mexico. The use of alternative variables for electricity price helps to increase the robustness of the analysis in comparison to previous empirical studies. Design/methodology/approach The authors use an unrestricted vector autoregressive model and the sample covers the period January 2006 to January 2016. Findings Empirical findings suggest that crude oil, natural gas and coal prices have a significant positive impact on electricity prices – domestic electricity rates – in Mexico in the short run. Furthermore, crude oil and natural gas prices have also a significant positive impact on electricity prices – commercial and industrial electricity rates. Originality/value Two are the main contributions. First, this paper explores the nexus among crude oil, natural gas, coal and electricity prices in Mexico, while previous studies focus on the US, UK and some European economies. Second, instead of using one electricity price as a reference of national or domestic electricity sector, the analysis considers alternative Mexican electricity prices.

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20

Fell, Michael J., David Shipworth, Gesche M. Huebner, and Clifford A. Elwell. "Exploring perceived control in domestic electricity demand-side response." Technology Analysis & Strategic Management 26, no. 10 (November 4, 2014): 1118–30. http://dx.doi.org/10.1080/09537325.2014.974530.

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21

Poulsen, M. F., and J. Forrest. "Correlates of Energy Use: Domestic Electricity Consumption in Sydney." Environment and Planning A: Economy and Space 20, no. 3 (March 1988): 327–38. http://dx.doi.org/10.1068/a200327.

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The role of income in domestic electricity consumption, compared with the influence of other sociophysical characteristics such as household or dwelling structure, has long been under debate. The major problem is one of multicollinearity among the independent variables. Sequential regression models are used to overcome this problem. The role of income is disaggregated from that of gas usage, dwelling type, dwelling size, and family structure, and found to be less important than some studies would suggest. Much of its influence is indirect, its role often that of a surrogate for other causative influences. The importance of these findings bears on the development of government policies in the electricity conservation area.

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22

He, Pan, Jing Liang, Yueming (Lucy) Qiu, Qingran Li, and Bo Xing. "Increase in domestic electricity consumption from particulate air pollution." Nature Energy 5, no. 12 (September 21, 2020): 985–95. http://dx.doi.org/10.1038/s41560-020-00699-0.

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23

Raji, Atanda, and Mohamed Tariq Kahn. "Analysis of distributed energy resources for domestic electricity users." Journal of Energy in Southern Africa 23, no. 2 (May 1, 2012): 50–55. http://dx.doi.org/10.17159/2413-3051/2012/v23i2a3163.

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After over a century with utilization of the benefits of economics of scale, power systems planning and development gets bigger and transmission grids have needed to transmit wide bringing the concept of onsite or close-to-load generation back. The turnaround strategy is prompted by market liberalization, transmission expansion constraints, related technology advancements, environmental pollution, health hazards, fossil fuel depletion, and climate change concerns. In the last decade, many countries have started the process of liberalisation of the electric systems, opening access to transmission and distribution grids.Technical feasibility analysis of a hybrid energy system for two types of geographical regions in South Africa using Homer is performed in this paper. Wind-PV hybrid systems are modelled as a micro-power system using Homer. The simulation results analyses conducted for a typical middle income earner electricity load profile for both a coaster and inlander domestic users of electricity showed that Wind-PV hybrid system is technically feasible and economical.

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24

Sossan, Fabrizio. "Equivalent electricity storage capacity of domestic thermostatically controlled loads." Energy 122 (March 2017): 767–78. http://dx.doi.org/10.1016/j.energy.2016.12.096.

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25

Richardson, Ian, Murray Thomson, David Infield, and Conor Clifford. "Domestic electricity use: A high-resolution energy demand model." Energy and Buildings 42, no. 10 (October 2010): 1878–87. http://dx.doi.org/10.1016/j.enbuild.2010.05.023.

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26

Ariyarathne, Y. S. S., N. W. K. Jayatissa, and D. S. M. De Silva. "Domestic electricity usage estimation model using socio-economic factors." Journal of Science of the University of Kelaniya Sri Lanka 14 (June 18, 2021): 17. http://dx.doi.org/10.4038/josuk.v14i0.8031.

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27

Elbaz, Shimon, and Adriana Zaiţ. "Efficient Use of Behavioral Tools to Reduce Electricity Demand of Domestic Consumers." Scientific Annals of Economics and Business 63, s1 (December 1, 2016): 89–107. http://dx.doi.org/10.1515/saeb-2016-0137.

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Abstract Purpose: The present study investigated the main literature on the subject of methods and policies for reducing the electricity demand of domestic consumers, in order to identify the place of behavioral tools. Methodology: We used secondary sources, performing a literature review, together with analysis and synthesis. Findings: Policy makers prefer to use tools offered by neoclassical economics, such as various forms of taxation, fines and financial incentives in order to make domestic electricity consumers save electricity, on the assumption that consumers will make rational decisions while maximizing their personal benefit. However, studies conducted in recent years in the field of behavioral economics, which are based on the assumption that consumers’ decisions are not rational and are affected by cognitive biases, showed that the use of behavioral tools, such as detailed online information (feedback),social comparison information, information on varying rates (dynamic pricing) and general information (advertising campaign), are tools that are not less appropriate than the ones the neoclassical economics offers, mainly because electricity is an invisible product and consumers are unable to assess it by normal cognitive measures. Using an interdisciplinary combination of behavioral tools that come from a variety of approaches taken from a wide variety of different academic fields, it is possible to receive efficient results in the endeavor of reducing electricity demand. Implications: Although the neoclassical economics still remains the fundamental theory used by policymakers, it is recommended to consider behavioral economics as a complementary approach to the neoclassical economics, and combine behavioral tools in the policymakers’ toolbox, especially when those tools do not require a significant financial investment, thus efficiently maximizing the reduction of electricity demand among domestic consumers. These theoretical results will be used for designing future empirical researches on the efficiency of behavioral tools in changing the pattern of electricity consumers’ behavior.

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Soava, Georgeta, Anca Mehedintu, Mihaela Sterpu, and Eugenia Grecu. "The Impact of the COVID-19 Pandemic on Electricity Consumption and Economic Growth in Romania." Energies 14, no. 9 (April 23, 2021): 2394. http://dx.doi.org/10.3390/en14092394.

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This paper analyzes the impact of the COVID-19 pandemic on economic growth and electricity consumption and investigates the hypothesis of the influence of this consumption on the gross domestic product (GDP) for Romania. Using time series on monthly electricity consumption and quarterly GDP and a multi-linear regression model, we performed an analysis of the evolution of these indicators for 2007–2020, a comparison between their behavior during the financial crisis vs. COVID-19 crisis, and empirically explore the relationships between GDP and electricity consumption or some of its components. The results of the analysis confirm that the shock of declining activity due to the COVID-19 pandemic had a severe negative impact on electric energy consumption and GDP in the first half of 2020, followed by a slight recovery. By using a linear regression model, long-term relationships between GDP and domestic and non-household electricity consumptions were found. The empirically estimated elasticity coefficients confirm the more important impact of non-household electricity consumption on GDP compared to the one of domestic electricity consumption. In the context of the COVID-19 pandemic, the results of the study could be useful for optimizing energy and economic growth policies at the national and European levels.

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29

Ye, Wang. "Strategic Research on China Domestic Power System Modeling." Open Electrical & Electronic Engineering Journal 9, no. 1 (June 26, 2015): 175–78. http://dx.doi.org/10.2174/1874129001509010175.

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Power system modeling is a software management tool for managing electricity demand, power system trading electricity and power system generation expansion planning purposes, through the combination of various models and their comparison, which can be used by the Government for its policy support and by the power enterprises for their business development planning decision support, and ensure that power enterprises can provide sufficient and safe quality power supplies at the lowest economic and environmental costs. Based on the study of existing power system models of advanced western countries as well as the current domestic power system modeling status, this article puts forward some proposals and ideas on building domestic power system models.

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30

van Schijndel, Patrick. "Trends in domestic energy use reduction and private renewable energy production." E3S Web of Conferences 202 (2020): 01009. http://dx.doi.org/10.1051/e3sconf/202020201009.

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Domestic energy use can be directly influenced by personal choices. These choices include the selection of equipment (efficiency), mode of equipment use, consumer behaviour but also by self-production of electricity, space heating and/or cooling. Intelligent meters showing the actual use of electricity give insight in domestic energy use and is crucial in decreasing domestic energy use. However, households need better access to knowledge and experiences of experts to understand the potential choices to decrease their use of energy. Housing and equipment ‘labelling’ can give some support with these choices, but need to be more uniform and clear. Households controlling their own usage of energy and home production of electricity can make substantial savings on their energy bills. The paper describes experiences in practical situations using long term scientific and professional experiences.

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Santoso, Arif Dwi, and Muhammad Agus Salim. "Penghematan Listrik Rumah Tangga dalam Menunjang Kestabilan Energi Nasional dan Kelestarian Lingkungan." Jurnal Teknologi Lingkungan 20, no. 2 (July 31, 2019): 263. http://dx.doi.org/10.29122/jtl.v20i2.3242.

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ABSTRACTThe government efforts to maintain national energy stability program through the increase energy supply and saving must be supported by all levels of society. Several energy observers and experts stated that the contribution of the domestic or household sector in the activities of energy saving program is quite significant because the percentage of household customers are relatively high. This paper analyzes the potential of providing research data on the percentage of electricity savings in the domestic or household sectors towards saving electricity nationally. The results of the study show that electrical devices commonly used in households still have the potential to be saved. Electrical devices that are often used at households and have great saving potentials are air conditioners and refrigerators. If each household customer saves 30% of electricity consumption, then the national electricity supply that can be saved will be around 5,679 GW, equivalent to 83.3 trillion rupiah. The saving program resulted in savings of electricity consumption of around 6% of all household consumers or around 2.9% of total national electricity consumption.Keywords: electrical energy, savings, households ABSTRAKUpaya pemerintah dalam menjaga kestabilan energi nasional melalui program peningkatan pasokan dan penghematan energi harus didukung oleh seluruh lapisan masyarakat. Para pengamat dan pakar energi menyatakan bahwa kontribusi sektor domestik atau rumah tangga dalam program penghematan konsumsi energi listrik cukup signifikan karena persentase jumlah pelanggan rumah tangga yang relatif tinggi. Penelitian ini menganalisis tentang potensi persentase penghematan energi listrik sektor domestik atau rumah tangga terhadap penghematan listrik secara nasional. Hasil penelitian menunjukkan bahwa piranti listrik yang biasa digunakan pada rumah tangga masih memiliki potensi untuk dilakukan penghematan. Piranti listrik yang sering digunakan pada rumah tangga dan memiliki potensi penghematan yang besar adalah alat pendingin ruangan (AC) dan kulkas. Bila setiap pelanggan rumah tangga melakukan penghematan konsumsi energi listriknya sebesar 30%, maka pasokan listrik nasional yang dapat dihemat adalah sekitar 5.679 GW atau setara dengan 83,3 Trilyun rupiah. Upaya ini menghasilkan penghematan konsumsi listrik sekitar 6% dari seluruh konsumen rumah tangga atau sekitar 2,9 % dari total konsumsi energi listrik nasional.Kata kunci: energi listrik, penghematan, rumah tangga

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Raugei, Marco, Alessio Peluso, Enrica Leccisi, and Vasilis Fthenakis. "Life-Cycle Carbon Emissions and Energy Return on Investment for 80% Domestic Renewable Electricity with Battery Storage in California (U.S.A.)." Energies 13, no. 15 (August 1, 2020): 3934. http://dx.doi.org/10.3390/en13153934.

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This paper presents a detailed life-cycle assessment of the greenhouse gas emissions, cumulative demand for total and non-renewable primary energy, and energy return on investment (EROI) for the domestic electricity grid mix in the U.S. state of California, using hourly historical data for 2018, and future projections of increased solar photovoltaic (PV) installed capacity with lithium-ion battery energy storage, so as to achieve 80% net renewable electricity generation in 2030, while ensuring the hourly matching of the supply and demand profiles at all times. Specifically—in line with California’s plans that aim to increase the renewable energy share into the electric grid—in this study, PV installed capacity is assumed to reach 43.7 GW in 2030, resulting of 52% of the 2030 domestic electricity generation. In the modelled 2030 scenario, single-cycle gas turbines and nuclear plants are completely phased out, while combined-cycle gas turbine output is reduced by 30% compared to 2018. Results indicate that 25% of renewable electricity ends up being routed into storage, while 2.8% is curtailed. Results also show that such energy transition strategy would be effective at curbing California’s domestic electricity grid mix carbon emissions by 50%, and reducing demand for non-renewable primary energy by 66%, while also achieving a 10% increase in overall EROI (in terms of electricity output per unit of investment).

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Baetens, R., R. De Coninck, L. Helsen, and D. Saelens. "The Impact of Load Profile on the Grid-Interaction of Building Integrated Photovoltaic (BIPV) Systems in Low-Energy Dwellings." Journal of Green Building 5, no. 4 (November 1, 2010): 137–47. http://dx.doi.org/10.3992/jgb.5.4.137.

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A building integrated photovoltaic system (BIPV) system may produce the same amount of electricity as consumed in the building on a yearly base. The simultaneity of production and consumption however needs to be evaluated: the distribution grid is regarded as virtual storage and is loaded unconventionally or even overloaded. A detailed bottom-up modelling approach of the domestic load, thermal installations and the local generation of BIPV system may give more insight. The present paper aims at quantifying the impact of domestic load profiles on the grid-interaction of BIPV-equipped dwelling in a moderate Belgian climate wherefore the cover factor is defined. For a yearly electricity production that equals the yearly domestic demand, a cover factor of 0.42 is found if a classic heating system is installed, denoting that more than half of the produced electricity will be passed on to the grid and withdrawn on another moment. If a heat pump is used for space heating and domestic hot water, the cover factor decreases to 0.29.

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Elbaz, Shimon, and Adriana Zaiț. "Effect of Monetary Incentives on the Demand for Electricity of Domestic Consumers – Case of Israel." Review of Economic and Business Studies 11, no. 1 (June 1, 2018): 131–62. http://dx.doi.org/10.1515/rebs-2018-0068.

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AbstractThis research, based on a pilot study performed by the Israeli Electricity Company (IEC) in the framework of a demand management arrangement, focused on an economic approach for influencing domestic customers’ electricity consumption. The main objectives were to find out if monetary incentives in the form of a constant discount in the household consumer’s electricity bill (with no connection to consumption levels) influence consumers participating in a demand management arrangement with their electricity provider (here the IEC) and if such an incentive will lead to a decrease in the participants’ electricity consumption and/or a shift in their consumption from peak to low demand hours. The study examined also the monetary incentive’s influence on the participants’ willingness to join a future arrangement. The findings show that the participants who received a constant incentive increased their consumption, contrary to the expected behaviour, suggesting the presence of a “rebound effect”. One of the incentives that predicted a tendency to save electricity was the pro environmental attitude of the consumer, whereas financial incentives did not predict a tendency to save electricity. Damage to consumer comfort caused by load shedding exerted no significant influence. The economic incentive of a discount in the electricity bill increased the consumers’ willingness to join a future arrangement, even at the cost of compromising their privacy, although the possibility that this arrangement would lead to the loss of their control of home electric appliances as a result of load shedding drastically decreased this willingness. A positive financial incentive was found to have a minor influence on consumers’ willingness to participate in a demand management arrangement, while a negative incentive (the wish to avoid fines) was found to be very influential. Comparing to previous studies, the results are mixed, confirming some previous findings and contradicting others – and they offer an important contribution for the worldwide debate on energy conservation and household electricity reduction, through the Israeli dimension in a complex puzzle.

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Jangam, Bhushan Praveen, Pradipta Kumar Sahoo, and Vaseem Akram. "Convergence in electricity consumption across Indian states: a disaggregated analysis." International Journal of Energy Sector Management 14, no. 3 (November 18, 2019): 624–37. http://dx.doi.org/10.1108/ijesm-03-2019-0009.

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Purpose The purpose of this study is to examine whether the electricity consumption patterns across Indian states do converge. Design/methodology/approach This study considers 18 Indian states spanning over the period 1970-1971 and 2014-2015, using the recently developed Phillips and Sul panel convergence technique that accounts the multiple steady states. Findings The results provide the following insights. First, the authors find evidence of convergence in electricity consumption among all Indian states. This suggests that electricity consumption patterns for Indian states are converging to a common steady state. Second, to provide broader insights, we further investigate the convergence in electricity consumption among user groups such as agriculture, industry, commercial, domestic and miscellaneous. The results reveal that commercial, domestic and miscellaneous groups are also converging. Third, the non-convergence patterns in agriculture and industry enable us to investigate the possibility of clubs or the multiple common steady states. The results indicate the occurrence of three clubs in case of agriculture and two clubs in case of the industry. Fourth, this study also inspects the relative speed of convergence among the user groups. The results reveal the higher speed of convergence in case of the domestic user group. Practical implications The findings enable policymakers to formulate an appropriate energy policy to accommodate the future electricity demand across Indian states and prioritize low electricity consumption states so that they receive a greater share. Originality/value This is the first study that examines the convergence in electricity consumption across Indian states at aggregate and user groups using a new panel club convergence technique.

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van den Hoven, Adrian, and Karl Froschauer. "Limiting Regional Electricity Sector Integration and Market Reform." Comparative Political Studies 37, no. 9 (November 2004): 1079–103. http://dx.doi.org/10.1177/0010414004268845.

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Recent decades have witnessed liberal reforms in electricity policy in Western countries and an emerging literature with prominent perspectives on how to analyze such reforms. Some analysts viewWestern countries as replicating the policy models of Britain and the United States, the first nations to adopt liberal reforms; others see European Union and North American Free Trade Agreement countries as subjected to regional electricity sector integration by supranational regional agreements. The authors challenge those views, arguing that national interests have limited domestic electricity market reforms in France and Canada despite their participation in regional electricity market integration projects. By examining surplus-producing acceleration in building nuclear and hydroelectric plants, initiatives to secure export access as part of regional market integration, and the ability to limit the effects of market access reciprocity domestically, this comparative analysis of France and Canada demonstrates that national interests can prevail in the intergovernmental formulation and domestic implementation of electricity policy.

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Arunkumar, G., D. Elangovan, P. Sanjeevikumar, Jens Bo Holm Nielsen, Zbigniew Leonowicz, and Peter K. Joseph. "DC Grid for Domestic Electrification." Energies 12, no. 11 (June 5, 2019): 2157. http://dx.doi.org/10.3390/en12112157.

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Various statistics indicate that many of the parts of India, especially rural and island areas have either partial or no access to electricity. The main reason for this scenario is the immense expanse of which the power producing stations and the distribution hubs are located from these rural and distant areas. This emphasizes the significance of subsidiarity of power generation by means of renewable energy resources. Although in current energy production scenario electricity supply is principally by AC current, a large variety of the everyday utility devices like cell phone chargers, computers, laptop chargers etc. all work internally with DC power. The count of intermediate energy transfer steps are significantly abridged by providing DC power to mentioned devices. The paper also states other works that prove the increase in overall system efficiency and thereby cost reduction. With an abundance of solar power at disposal and major modification in the area of power electronic conversion devices, this article suggests a DC grid that can be used for a household in a distant or rural area to power the aforementioned, utilizing Solar PV. A system was designed for a household which is not connected to the main grid and was successfully simulated for several loads totaling to 250 W with the help of an isolated flyback converter at the front end and suitable power electronic conversion devices at each load points. Maximum abstraction of operational energy from renewable sources at a residential and commercial level is intended with the suggested direct current systems.

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Shyamala, G. "Electricity Generation from Domestic Waste Water by Microbial Fuel Cell." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (April 30, 2018): 552–61. http://dx.doi.org/10.22214/ijraset.2018.4097.

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Urooj, Rabail, and Sheikh Saeed Ahmad. "Assessment of electricity demand at domestic level in Balochistan, Pakistan." Advances in Energy Research 5, no. 1 (March 25, 2017): 57–64. http://dx.doi.org/10.12989/eri.2017.5.1.057.

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Vassileva, Iana, Monica Odlare, Fredrik Wallin, and Erik Dahlquist. "The impact of consumers’ feedback preferences on domestic electricity consumption." Applied Energy 93 (May 2012): 575–82. http://dx.doi.org/10.1016/j.apenergy.2011.12.067.

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McLoughlin, Fintan, Aidan Duffy, and Michael Conlon. "Evaluation of time series techniques to characterise domestic electricity demand." Energy 50 (February 2013): 120–30. http://dx.doi.org/10.1016/j.energy.2012.11.048.

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Singh, Jaya, Shankar S. Mantha, and Vikas M. Phalle. "Characterizing domestic electricity consumption in the Indian urban household sector." Energy and Buildings 170 (July 2018): 74–82. http://dx.doi.org/10.1016/j.enbuild.2018.04.002.

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Ren, Peng, Zheng Xiang, and Zhiliang Qiu. "Intelligent domestic electricity management system based on analog-distributed hierarchy." International Journal of Electrical Power & Energy Systems 46 (March 2013): 400–404. http://dx.doi.org/10.1016/j.ijepes.2012.10.045.

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Drysdale, Brian, Jianzhong Wu, and Nick Jenkins. "Flexible demand in the GB domestic electricity sector in 2030." Applied Energy 139 (February 2015): 281–90. http://dx.doi.org/10.1016/j.apenergy.2014.11.013.

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Tahir, Muhammad Usman, Mohammad Asif Khan, Ahmad Waqas, and Shahneel Siddiqui. "Pervasive Electricity Distribution System." Sukkur IBA Journal of Computing and Mathematical Sciences 1, no. 1 (June 30, 2017): 89. http://dx.doi.org/10.30537/sjcms.v1i1.11.

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Now a days a country cannot become economically strong until and unless it has enough electrical power to fulfil industrial and domestic needs. Electrical power being the pillar of any country’s economy, needs to be used in an efficient way. The same step is taken here by proposing a new system for energy distribution from substation to consumer houses, also it monitors the consumer consumption and record data. Unlike traditional manual Electrical systems, pervasive electricity distribution system (PEDS) introduces a fresh perspective to monitor the feeder line status at distribution and consumer level. In this system an effort is taken to address the issues of electricity theft, manual billing, online monitoring of electrical distribution system and automatic control of electrical distribution points. The project is designed using microcontroller and different sensors, its GUI is designed in Labview software.

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Pachanapan, Piyadanai, Panupon Trairat, and Surachet Kanprachar. "Synthetic Domestic Electricity Demand in Thailand using A Modified High Resolution Modelling Tool by CREST." ECTI Transactions on Electrical Engineering, Electronics, and Communications 19, no. 2 (June 30, 2021): 145–54. http://dx.doi.org/10.37936/ecti-eec.2021192.234341.

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A residential electricity demand profile is one of the key roles for investigating the impacts of high penetration of low carbon technologies, such as photovoltaic systems and electric vehicles, on distribution networks. However, it is difficult to identify the true daily electricity consumption of Thailand household, caused by the lack of routine real time demand monitoring and residential electricity meter is normally on monthly which is a low time resolution. In this paper, the CREST Demand Model is employed to simulate a high resolution domestic electricity demand in Thailand, without installing new monitoring devices and customer interruption, through a stochastic process which is a combination of patterns of active occupancy, the outdoor ambient light characteristic and daily activity profiles. Due to the model is based on time use survey data in UK, the outdoor irradiance and appliance configuration are adapted to fit for the Thailand case study. In order to verify the model, the synthetic load profiles by CREST Demand Model is compared against measured data from the actual monitoring in a real low voltage network in Thailand. The results show that it is promising to apply the high resolution demand model by CREST to simulate the domestic electricity demand profiles in Thailand.

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Nagpal, Himanshu, Andrea Staino, and Biswajit Basu. "Application of Predictive Control in Scheduling of Domestic Appliances." Applied Sciences 10, no. 5 (February 29, 2020): 1627. http://dx.doi.org/10.3390/app10051627.

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In this work, an algorithm for the scheduling of household appliances to reduce the energy cost and the peak-power consumption is proposed. The system architecture of a home energy management system (HEMS) is presented to operate the appliances. The dynamics of thermal and non-thermal appliances is represented into state-space model to formulate the scheduling task into a mixed-integer-linear-programming (MILP) optimization problem. Model predictive control (MPC) strategy is used to operate the appliances in real-time. The HEMS schedules the appliances in dynamic manner without any a priori knowledge of the load-consumption pattern. At the same time, the HEMS responds to the real-time electricity market and the external environmental conditions (solar radiation, ambient temperature, etc.). Simulation results exhibit the benefits of the proposed HEMS by showing the reduction of up to 70% in electricity cost and up to 57% in peak power consumption.

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Filippchenkova, Natalya. "Modeling the Levelized Cost of Energy for Concentrating Solar Thermal Power Systems Based on a Nonlinear AutoRegressive Neural Network With Exogenous Inputs." International Journal of Energy Optimization and Engineering 10, no. 4 (October 2021): 1–17. http://dx.doi.org/10.4018/ijeoe.2021100101.

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This article presents the results of the development of a mathematical model for predicting the levelized cost of energy (LCOE) for solar concentrating thermal power systems (CSP systems) based on a nonlinear autoregressive neural network with exogenous inputs (NARX). A two-layer NARX network with sigmoid hidden neurons and linear output neurons has been developed. The input layer is made up of the following variables: the volume of input power of CSP systems in the world, the total world energy consumption, domestic energy consumption, domestic gas consumption, domestic consumption of coal and lignite, domestic energy consumption, the share of renewable energy in electricity generation, the share of wind and solar energy in the production of electricity, carbon dioxide emissions from fuel combustion, the price of Brent oil against the US dollar, and the average price for natural gas auctions. The output layer specifies LCOE values for CSP systems.

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Saracoglu, Burak Omer. "An Experimental Research Study on the Solution of a Private Small Hydropower Plant Investments Selection Problem by ELECTRE III/IV, Shannon’s Entropy, and Saaty’s Subjective Criteria Weighting." Advances in Decision Sciences 2015 (February 3, 2015): 1–20. http://dx.doi.org/10.1155/2015/548460.

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Almost all of the today’s modern daily life conditions of humankind depend on the electricity. The countries either by only themselves or sometimes with some international intuitions and/or organizations have been trying to find the best methods, ways, and projects to supply the electricity to their societies. One of the important tools for the countries to increase the amount and quality of the electricity generation is to activate/ignite/initiate the private investment capabilities/opportunities. The electricity generation market in Turkey is a free/open market for both the foreign and domestic private investors. Hence, both the foreign and domestic private investors have been looking for the most suitable electricity generation plant projects. Small hydropower plant (SHPP) investments (SHPPIs) are one of the alternatives in the Turkish electricity generation market especially for the private investors searching for the renewable energy investments. This experimental research study investigates the possibility of using the ELECTRE III/IV, Shannon’s Entropy, and Saaty’s Analytic Hierarchy Process (AHP) subjective weighting (for criteria) methods for the solution of this problem. In the experimental case study, the most appropriate SHPPIs amongst five alternative SHPPIs at the SHPPIs’ predevelopment investment stages in Turkey were evaluated and ranked in order.

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Wahyu Ermawati, Dyah, and David Kaluge. "ANALISA PENGARUH INVESTASI DAN GDP RIIL TERHADAP PEMAKAIAN KONSUMSI ENERGI LISTRIK." EKUITAS (Jurnal Ekonomi dan Keuangan) 9, no. 4 (January 1, 2007): 565. http://dx.doi.org/10.24034/j25485024.y2005.v9.i4.2393.

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The objective of this research is to analyze the impact of real GDP (Gross Domestic Product) and investment on the consumption of electricity energy in the ASEAN countries (Malaysia, Phillippine and Indonesia). From the result of the analysis, it is found that there are significant influences of the real GDP and investment on the consumption of the electricity energy. Partially, real GDP and investment doesn’t have any significant influence on the consumption of electricity for Malaysia and Indonesia. Estimation model show that an increasing trend of consumption of electricity, investment and real GDP.

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