Trends in energy consumption under the multi-stage development of ICT: Evidence in China from 2001 to 2030

Wang, Peng; Zhong, Peirong; Yu, Min; Pu, Yanru; Zhang, Shuainan; Yu, Ping

doi:10.1016/j.egyr.2022.07.003

Cited by 23 publications

(7 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is because when the HDI is high, there is a tendency for people to optimize energy consumption, especially electrical energy (Martinez and Ebenhack, 2008) and (4) Internet access variables have a positive effect on electrical energy consumption because internet access supported by ICT will consume more electrical energy. The results reveal two trends of energy consumption change: first, although ICT development increases energy consumption, energy consumption still shows an upward trend (Wang et al, 2022).…”

Section: Research Frameworkmentioning

confidence: 97%

Determinants of Variables That Affect Electrical Energy Consumption in Indonesia 2011-2020

Akbar,

Mafruhah,

Gravitiani

2024

IJEEP

View full text Add to dashboard Cite

This study aims to analyze the determinants of variables that affect electricity consumption in Indonesia 2011-2020. There are 4 variables that are used as determinant variables, namely (1) economic growth, (2) population growth, (3) Human Development Index (HDI), and (4) internet access. This study uses a random effect model regression method using data that is panel data consisting of 34 provinces in Indonesia in the span of 2011 - 2020. Secondary data were obtained from the Central Statistics Agency (BPS), a statistical report of PT. PLN (Persero) and previous research literature studies. The results of this study found that (1) the variable of economic growth did not affect electricity consumption, (2) the population growth variable also did not affect the consumption of electricity, (3) the variable Human Development Index (HDI) had a positive effect on electricity consumption and (4) internet access variable has a negative effect on electricity consumption. Suggestions that the author can convey are: (1) optimizing the potential of New Renewable Energy (EBT), (2) conserving electricity and making efficient use of electricity, (3) increasing the electrification ratio so that electricity can be enjoyed by the entire community.

show abstract

Section: Research Frameworkmentioning

confidence: 97%

Determinants of Variables That Affect Electrical Energy Consumption in Indonesia 2011-2020

Akbar,

Mafruhah,

Gravitiani

2024

IJEEP

View full text Add to dashboard Cite

show abstract

“…Distributed PV electricity has the potential to mitigate the scarcity of urban power resources and effectively address sudden power outages [5]. Additionally, it has the potential to reduce carbon emissions in metropolitan areas [6,7], promoting the advancement of environmentally sustainable cities [8]. Furthermore, the rapid growth of distributed PVs can enhance the flexibility of urban energy systems and significantly enhance the capacity of the electrical supply [9], particularly in light of the substantial rise in the number of new energy vehicles (NEVs) [10].…”

Section: Introductionmentioning

confidence: 99%

A Study on the Feasibility and Strategy of Developing Photovoltaic Integrated Shading Devices in Street Canyons

Wang,

et al. 2024

Buildings

Self Cite

View full text Add to dashboard Cite

The measurement and analysis of the spatial attributes of the street canyon hold significant importance in the advancement of photovoltaic integrated shading devices (PVSDs). This study offers the space aspect ratio index AR(h) as a more efficient method for determining the optimal location for installing PVSDs on building facades in various street canyons. The AR(h) index addresses the limitations of the current quantitative index. This study examined the evolving regulations of indoor thermal conditions, natural lighting, and the performance of PVSDs in various street canyons. It assessed the viability of implementing PVSDs in different canyons and suggested development plans based on the variation law. The findings demonstrated that AR(h) is capable of effectively assessing and directing the implementation of PVSDs. When AR(h) is below 0.6, the shade of surrounding buildings has the least impact on the photovoltaic power output and building energy consumption in various street canyons. In this scenario, the building has the largest yearly energy-saving rate, making it highly ideal for implementing PVSDs on the building façade. In summary, the suitability of the AR(h) index in various street sceneries was assessed, offering valuable insights for the widespread implementation of PVSDs and street planning, thereby optimizing the utilization of solar energy. The findings of this study will be advantageous in diminishing the utilization of non-renewable energy sources in urban areas and mitigating carbon emissions to safeguard the environment.

show abstract

“…Countries around the world have made different efforts to save energy and reduce emissions [2], and all parties are encouraged by the 2015 Paris Agreement to enhance the global response to the threat of climate change. China has proposed a dual-carbon target for 2020, striving to achieve a carbon peak by 2030 and carbon neutrality by 2060 [3]. The global wind energy industry will maintain a rapid development trend, and the globally installed wind power capacity will keep growing.…”

Section: Introductionmentioning

confidence: 99%

Active Power Allocation Method of Doubly Fed Induction Generators Based on Rotor Speed

Li,

2024

Electronics

View full text Add to dashboard Cite

The integration of wind power into a grid on a large scale results in a reduction of the system’s inertia level, causing an impact on the stability of the system frequency. Doubly fed induction generators (DFIG) can optimize active output but lack inertia support under maximum power point tracking control. To make the wind turbine improve the inertia support ability of the system based on virtual inertia control, a method for active power allocation based on the rotor speed of DFIG is proposed. Firstly, the minimum system inertia requirement based on the frequency change rate of the system is established. Active power allocation assumes that the wind farm inertia meets the minimum system inertia requirement. Secondly, the objective is to enhance the inertia support capability and overall active power output of the wind farm, considering the constraint of the minimum system inertia requirement. Based on the rotor speed to establish the inertia allocation weight factor, the weight of the power command is assigned to a single machine to achieve the wind farm active power allocation. Finally, it is verified that the system’s equivalent inertia meets the minimum inertia requirement of the system. Simulations show that the proposed allocation method can adequately elevate the inertia support capability of DFIGs to the system and the rotor kinetic energy utilization.

show abstract

Trends in energy consumption under the multi-stage development of ICT: Evidence in China from 2001 to 2030

Cited by 23 publications

References 41 publications

Determinants of Variables That Affect Electrical Energy Consumption in Indonesia 2011-2020

Determinants of Variables That Affect Electrical Energy Consumption in Indonesia 2011-2020

A Study on the Feasibility and Strategy of Developing Photovoltaic Integrated Shading Devices in Street Canyons

Active Power Allocation Method of Doubly Fed Induction Generators Based on Rotor Speed

Contact Info

Product

Resources

About