Proportion Of Energy Consumption Research Articles

Key Techniques of the Digital Energy Internet Park: An Example of State Grid Energy Internet Rongchuang Park in Lanzhou

The construction of the digital energy internet is of great significance to the formation of the global energy internet. This paper uses the Rongchuang park of state grid Lanzhou power supply company as an example. Particularly, the key techniques from “source, grid, load, and storage” were summarized. It is key for the building of the energy internet Rongchuang park to increase the proportion of clean energy production and consumption, improve the intelligent level of the power grid, fully tap the potential of load side energy conservation and peak shaving regulation, and promote the system flexibility by energy storage techniques. This work supports the technological development and breakthrough of the energy internet park.

Research on Benefit Assessment of Multi-scenario Integrated Energy System

With the rapid development of economy, China’s energy is in the stage of rapid transformation, and the market demand for comprehensive energy service in the whole society is increasing. Therefore, China needs to vigorously promote the construction of a comprehensive energy system energy supply mode with new energy as the main body, so as to realize the reasonable allocation of resources and the high proportion of clean energy consumption. To effectively evaluate the quality of the system operating benefits, this paper with a variety of typical comprehensive energy system as the background, through the establishment of comprehensive energy system scenario operating benefit evaluation index system, build index based on hierarchical analysis method weight model and entropy method of fuzzy comprehensive evaluation model, evaluate the benefits of various types of comprehensive energy system.

Potential analysis of hydrogen energy technology in the power grid based on carbon tax: A case study in Japan

Electrolytic hydrogen storage technology of renewable energy is considered as one of the important measures to realize the high proportion of renewable energy. However, developing this technology has been slow due to the cost. This study proposes highlighting the environmental advantages of renewable power combined with a carbon tax at the national level to expand the application space of hydrogen storage technology. First, the economy and technical characteristics of hydrogen storage technology and conventional energy-storage technology were compared. Then, Japan's top 10 power companies, which account for 90% of the power supply, were taken as the research objects. The proportion of change in renewable power after introducing a carbon tax was studied, taking the weighted minimum of the feed-in tariffs as the optimization objective. The contribution of hydrogen storage technology to the change in renewable power share was analyzed. Next, a sensitivity analysis was conducted on the fossil energy price and cost of renewable power equipment that affects the research. Finally, the contribution of a carbon tax and hydrogen storage technology to Japan's emission reduction target was calculated and analyzed. The results showed that the characteristics of long-distance transportation of hydrogen energy and making renewable energy have economic advantages under the current carbon tax (5–6 JPY/kg-CO2). The cost of liquified natural gas (LNG) and the investment of photovoltaic (PV) have a significant impact on the weighted minimum feed-in price, which can make the development of hydrogen storage technology no longer rely on the setting of carbon tax. The results obtained in this study provide a theoretical reference for the application of hydrogen storage technology in the high proportion of renewable energy consumption. At the same time, it can also provide data reference for large-scale construction of renewable energy in regions where solar and wind energy resources are not excellent.

Spatial - temporal evolution and driving factors of carbon emission efficiency of cities in the Yellow River Basin

Carbon attainment and carbon neutrality are inherent requirements for promoting high-quality development, and the carbon emission efficiency of cities in the Yellow River Basin(YRB) directly affects the high-quality development of the Yellow River Basin. In this paper,we measures the carbon emission efficiency of 61 cities in the YRB from 2004 to 2018 using the super-efficiency Slack-Based Measure model (super-efficient SBM model), and explores the spatial and temporal heterogeneity and spillover effects of the new carbon emission efficiency values by combining empirical orthogonal functions and spatial autoregressive models. The results show that: (1) The spatial pattern of cities in the YRB has changed from “pretty high in the centre and low in the surroundings” to “agglomeration in high-value zones as well as dispersion in low-value zones”. (2) GDP per capita and government involvement are positively related to carbon emission efficiency, while GDP per capita squared, energy intensity and industrial structure are negatively correlated with carbon emission efficiency. (3) Reducing the proportion of fossil energy consumption, strengthening government regulation and optimising​ industrial structure are effective ways to improving the efficiency of carbon emissions in the YRB.

Experimental Study on Low Carbonization of Green Building Based on New Membrane Structure Solar Sustainable Heat Collection

In recent years, energy consumption has continuously been increasing, and the energy consumption proportion in buildings has risen yearly. In order to promote the carbon-neutral goal of carbon peaking, the building sector realizes green and low-carbon transformation. This paper proposes a new type of solar flat plate collector with an additional transparent cover made by the ETFE film, which is tested for thermal performance under different environmental and operational parameters. The Ansys Fluent software was used to build a three-dimensional steady-state model of the collector, which can simulate the collector components’ temperature and the mass outlet temperature under the test conditions. The collector’s instantaneous heat collection efficiency curve fitted by comparing and analyzing the theoretical, experimental, and simulated data. The instantaneous efficiency intercept was 0.72, and the heat loss coefficient was 3.94 W/(m2·K). The results show that the collector efficiency of the ETFE film structure collector is 18.6% higher, and the heat loss coefficient is 27.3% lower than that of an ordinary collector under standard mass flow conditions.

COVID-19 impacts on Indian power system planning and operation

Governments around the world are implementing different measures like lockdown and stay-at-home orders to stop the spread of coronavirus amongst the common masses. It has caused electricity consumption to decrease and inverting the gap between demand and generation. Load-generation balance is maintained by shutting down or operating the fossil fuel generations at a low plant load factor due to must-run obligations over renewable generation. During lockdown periods, variable renewables’ proportion in total energy consumption has reached record highs. The power system’s inertia stability has decreased with displacement of conventional resources from generation schedule. It created new challenges for system operators to meet increased variability. New forecasting methodologies are adopted for modified peaks and shapes of the load curves. Power sector utilities are combating the issues of decreasing demand and liquidity caused by revenue shortfall. Cross-border restrictions on fuel imports are also affecting the portfolio of generation resources in long term. The ongoing pandemic is causing a paradigm shift in financial, political and technical aspects of power sector. This requires active engagement from government to help the sector thrive in difficult times and continue to work smoothly. In this context, this paper presents a comprehensive review of pandemic impacts experienced on power sector in the area of planning and operations. Also, inputs are provided from policy and operation perspectives to improve grid reliability and security during and post-event conditions. The fast implementation of demand side management programs is recommended to improve grid stability. Tariff restructuring, enhancing flexibility and incorporating consumer behaviour in load forecasting have been suggested to have a more diversified and resilient power sector in the post-COVID era.

Impact of Climate Change and Technological Innovation on the Energy Performance and Built form of Future Cities

The building and transportation sectors are responsible for the greatest proportion of energy consumption in cities. While they are intrinsically interlinked with urban built form and density, climate change and technological innovation are having an effect on their relative contributions. This paper aims to develop an optimisation framework to facilitate the identification of the most energy-efficient urban built forms and urban geometry for the future built environment that can be adapted to the changing climate and ongoing technological development. It examines future scenarios for the city of London as a temperate climate zone (as a case study), in 2050, and contrasts it with the present situation. Specifically, the impact of climate change along with the penetration of electric vehicles into the transportation system that can be charged via rooftop photovoltaics is investigated. This study initially develops the geometrical models of four selected urban built forms and, secondly, analyzes their energy performance using an urban energy simulation software. The results, showing the impact of future scenarios on building energy performance, urban built form and density, demonstrate that court and tunnel-court built forms show better energy performance for future development. It is therefore recommended that for future urban developments in London, deep plan court and tunnel-court buildings with a lower number of storeys and a large cut-off angle are more advantageous in terms of building energy to accommodate the expected climate change. Finally, results of simulation trials indicate that the total building energy demand in 2050 is considerably higher than in the present climate as a result of additional cooling load and electric vehicle charging load.

Comparative Energy Consumption Structure and Mode between China and Major Energy-Consuming Countries Under the Background of Carbon Emission Reduction

The top 23 countries with energy consumption accounting for 80% of the worldwide total in 2020 were selected as the research objects for this study. The energy consumption structure of these countries has been compared and studied from the proportion of clean energy in primary energy, the clean utilization rate of fossil energy, and the proportion of electric energy in terminal energy consumption, and the characteristics of energy consumption intensity were also analyzed based on the energy consumption per unit GDP, capital, and unit land area. The energy consumption patterns of various countries in social-economic operation, production, and life were also discussed, combined with the characteristics of industrial structure and subsector energy consumption. The concept of natural carbon sink load ratio of energy consumption was put forward, and the advantages and challenges of energy consumption mode transformation under carbon peak and carbon neutralization goals in China were identified and analyzed. The results showed that:the proportion of clean energy in primary energy, the proportion of energy consumption for power generation, the clean utilization rate of fossil energy, and the proportion of electric energy in terminal energy consumption in China were 15.90%, 53.48%, 37.51%, and 26.54%,respectively,all of which were in the forefront among the major energy-consuming countries in the world. China has built a favorable structural foundation for energy-intensive and clean utilization and formed a green and low-carbon energy consumption model; the proportion of non-industrial and agricultural energy consumption, especially that of transportation energy consumption, were both the lowest among major energy-consuming countries, and there is still much room for improvement in overall energy productivity based on the optimization of industrial structure. However, the relatively short carbon peak and neutralization target period poses a great challenge to the development speed and scale of clean energy to China, and the international situation under the constraint of carbon emission also increases the difficulty for China to achieve the carbon reduction goal by optimizing and adjusting the industrial structure.

Low-carbon economic growth in Chinese cities: a case study in Shenzhen city.

Low-carbon economic growth in cities is important for reduction of carbon emissions in China. As the best practice city in China, Shenzhen city has experienced rapid economic growth with low carbon emissions. The study aims to evaluate the performance of Chinese cities on low-carbon economic growth through the case study of Shenzhen city. The study carries out the Tapio decoupling model for analyzing decoupling state, and uses the Kaya-Logarithmic Mean Divisia Index decomposition model to determine the main driving factors of carbon emissions in Shenzhen. Results indicate that Shenzhen has greatly decoupled carbon emissions with economic growth. The analysis of driving factors of carbon emission shows that the declining energy intensity and the upgrading industrial structure effectively hamper the increase of carbon emissions in Shenzhen. The decline in energy intensity in Shenzhen may come from an improvement of production efficiency of the industries. However, the irrational energy consumption structure, fast-growing economic output, and industry scale are hampering the low carbon emissions of Shenzhen. All estimated industries are highly dependent on coal and oil although some industries have slightly increased their proportion of clean energy consumption. Pursuing more clean energy consumption in the industry will be a key development strategy for reducing emissions in the future. Moreover, as Shenzhen is a fast-growing city, the increasing economic output and industry scale are inevitable. Changing people's way of living could also help in reducing carbon emissions in cities.

Hyper-aeromobility: the drivers and dynamics of frequent flying

Flying is the most climate-impacting form of individual consumption. This article interrogates the drivers and dynamics behind ever-increasing amounts of air travel ascribable to a minority, whose flying contributes an ever-larger proportion of travel-related energy consumption and carbon emissions. Moving beyond established work on (increases in) flying, it establishes the need to focus transport emissions reduction efforts on this relatively small number of elite, hyper-aeromobile travellers. After outlining existing literature on different aspects of flying and frequent flying, which are combined in referring to hyper-aeromobility, the article reviews the many diverse explanations for its drivers and dynamics arising from different disciplinary traditions. Treating flying and frequent flying as ‘consumption behaviour’ has tended to focus on individualised behavioural explanations, but understanding and tackling rising hyper-aeromobility involves grasping expanding systems of provision, and social and cultural positive feedback loops involving socialisation, habituation and internationalisation of social practices. Understanding these requires a multidisciplinary approach analogous to the ‘needs satisfier escalator’ model relating to increasing car use which has been proposed by Brand-Correa et al (2020). The article then provides data from qualitative research on high-energy-consuming households to provide backing for the particular relevance and importance of a subset of more sociological and structural drivers as contributing to the expansion of aeromobility and its concentration in a hyper-aeromobile elite. It concludes that the current reliance on voluntary behaviour change and different forms of financial disincentives is ineffective, whereas more radical structural change, restrictions and impositions of quotas are increasingly necessary.

Exploration of Urban Emission Mitigation Pathway under the Carbon Neutrality Target: A Case Study of Beijing, China

Exploring the urban carbon neutrality pathway is crucial to the overall achievement of the net-zero emissions target in China. Therefore, taking Beijing as a case study, this paper firstly analyzes the CO2 emission drivers by combining the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) and partial least squares (PLS) methods. Subsequently, based on the optimized extreme learning machine (ELM) model, this paper projects the CO2 emissions of Beijing during 2021–2060 under different scenarios. The results show that controlling the total energy consumption and increasing the proportion of non-fossil energy consumption and electrification level should be the key measures to implement emission reduction in Beijing. Particularly, the proportion of non-fossil energy consumption and electrification level should be increased to 65% and 73%, respectively, in 2060. In addition, more stringent emission reduction policies need to be implemented to achieve the carbon neutrality target. Under the H−EPS scenario, Beijing’s CO2 emissions peaked in 2010 and will be reduced by a cumulative 109 MtCO2 during 2021–2060. Along with executing emission mitigation policies, Beijing should actively increase carbon sinks and develop carbon capture, utilization, and storage (CCUS) technology. Especially after 2040, the emission reduction produced by carbon sinks and CCUS technology should be no less than 20 MtCO2 per year.

Effect of chemical cleaning on nanofiltration process in treating surface water

Nanofiltration (NF) has been increasingly used in drinking water treatment plants; however, the severe membrane fouling caused by organic matter poses great challenges to the application of NF technology. This study investigated the mitigation of NF membrane fouling by different chemical cleaning reagents (e.g., citric acid, NaOH, Na4-EDTA, and Na-SDS), Na4-EDTA and Na-SDS performed better to achieve NF permeability recovery of up to 90.5–94.2 % just in a single chemical cleaning cycle. The hydraulic irreversible membrane fouling could be reduced by 44.9–53.8 % in the multi-cycle operation of chemical cleaning. Na4-EDTA-based cleaning was beneficial to the removal performance of sulfamethazine (SM2) and conferred higher removal efficiency than Na-SDS-based cleaning efficiency. The impact of chemical cleaning on energy consumption was evaluated and indicated that Na4-EDTA-based cleaning could reduce the proportion of unfavorable energy consumption by 4.54 %. The operation stability of the NF process could be effectively improved by chemical cleaning, and the organic pollutants accumulated on the membrane surface can be removed, especially the chemical cleaning using Na4-EDTA and Na-SDS. These findings could improve the operational efficiency of the NF process with low energy consumption, low chemical consumption, and less adverse environmental impact.

Pseudo-dynamic test and numerical analyses of staggered truss framing systems

To facilitate the popularization and application of high-rise staggered truss framing systems in high intensity area, the seismic performance of the staggered truss framing system was studied. A series of pseudo-dynamic tests were carried out on a 14-story staggered truss framing system model with a scale of 1/8. The time-history curves of displacement, acceleration and base shear under Taft earthquake record with different peak ground accelerations were obtained. Based on the test results, the stiffness degradation, equivalent viscous damping coefficient of the test model were analyzed. The proportion of plastic energy consumption of each component to the whole plastic energy consumption of the structure was obtained. Three different finite element models were established to study the effect of the Vierendeel panel length on the seismic performance. The test results show that the staggered truss framing system has a large lateral stiffness in the direction of the truss, but its seismic energy dissipation capacity is insufficient. Through the pseudo dynamic test method, it is found that the column base is the weak part of the staggered truss framing system. The research results can be used to guide the design of staggered truss framing systems.

Research review on hydropower-wind power-photovoltaic multi-energy coupling power prediction technology

Energy shortage and environmental pollution have become the world's difficult problems, and the development of clean energy has become an inevitable choice. Solving the high proportion of clean energy consumption will become a major issue in the energy field. Various types of energy sources such as hydropower-wind power-photovoltaic power have coupling characteristics in certain geographical areas, and making good use of these coupling properties can better solve its joint prediction problem. This paper first introduces a brief situation of the development of these fields, proposes the main popular computing methods in this field, and conducts targeted analysis for the mainstream methods such as joint prediction, artificial intelligence and clustering algorithm, and finally puts forward the work value and conclusion of multi-energy coupling prediction.

Comparative study on life cycle energy consumption, carbon emissions and economic performance of various coke-oven gas utilization schemes

Coke-oven gas (COG) is the by-product of coking process and can be used as feedstock in energy and chemical processes. However, the relative advantages and comprehensive competitiveness of various mature and widely-used utilization schemes still need to be investigated, which will be helpful in exploring better ways to use COG. From the perspective of energy supply, this paper investigated the energy consumption, carbon emissions, capital investment and product cost of COG-to-hydrogen (COGtH), COG-to-natural gas (COGtNG), COG-to-methanol (COGtM) and COG-to-power (COGtP) through LCA method, and compared the comprehensive competitiveness using entropy weight method. The results show that COGtP performs better in all aspects, only consumes 2.669 MJ of energy and generates 0.14 kg CO2-eq of carbon emissions when outputting 1 MJ of energy, and product cost is only 1.11E-02 RMB/MJ, making it the most competitive utilization scheme. COGtM consumes the highest 8.525 MJ of energy and generates 0.708 kg CO2-eq of carbon emissions when outputting 1 MJ of energy, and it is superior to COGtNG only in terms of capital investment, making it the least competitive utilization scheme. The comprehensive competitiveness of COGtNG is slightly higher than COGtH, with comprehensive score of 0.49 and 0.46 respectively, and it can be further improved by reducing the equipment investment of methanation, while the performance of COGtH in economic aspect needs to be improved, especially to reduce product cost. Further analysis shows the extent to which the energy consumption and carbon emissions is affected by allocation principle is determined by the proportion of energy consumption and carbon emissions in the coking and upstream coal mining, washing and transportation stages, and under value allocation, the energy consumption and carbon emissions is almost directly linearly proportional to COG price, but non-linearly inversely proportional to coke price. In addition, the value allocation is favorable than mass and energy allocation in view of its reduced energy consumption and carbon emissions of utilization schemes if COG price decreases to 0.38 RMB/Nm3 and 0.47 RMB/Nm3 respectively, or coke price increases to 1122 RMB/t and 899 RMB/t respectively.

Population mobility network and spatial accessibility based on peer-to-peer interactive energy management

With the advancement of science and technology and the development of the world economy, the global demand for energy is increasing day by day. Therefore, it is necessary to reduce the utilization rate of fossil fuels. The key is to promote the rapid development of renewable energy and increase the proportion of new energy consumption. Therefore, accelerating the transformation and upgrading of the energy structure has become the top priority of future energy policies, and energy management has also become a hot topic in contemporary times. The high-speed and free population flow between cities has promoted the flow of production factors within the region, and a population flow network is slowly forming. The spatial accessibility index is used to evaluate the rationality of the spatial layout of urban facilities, and can also be used to test the service efficiency and the fairness of spatial distribution. This paper explores population mobility networks and spatial accessibility based on peer-to-peer interactive energy management. The purpose is to propose a good population flow network and spatial accessibility research method to explore the urban population flow characteristics and spatial characteristics with higher efficiency. This paper first introduces related methods for interactive energy management, population mobility networks, and spatial accessibility. A network analysis model of population flow is proposed, and the evaluation index and method of spatial accessibility are proposed. Finally, two experiments are done in this paper. First, we study the population mobility network in Beijing, Shanghai, Guangzhou, and Chongqing. The result is a correlation between the average distance of the network edges and the node degree value. The larger the degree value, the larger the average distance. The second experiment investigates the spatial accessibility of commercial facilities in Hangzhou. It is concluded that the difference between the maximum and minimum values of Hangzhou's total clustering degree is 86.3, and the standard deviation is 38.98. It proves that the global integration of Hangzhou is unbalanced and the degree of agglomeration is not high.

The Potential of Sino–Russian Energy Cooperation in the Arctic Region and Its Impact on China’s Energy Security

The Sino–Russian Arctic energy cooperation is a successful example based on the comprehensive strategic partnership between the two countries. In order to analyze the impact of Sino–Russian oil and gas resources cooperation in the Arctic on China’s energy security, this paper selects 11 influencing factors such as energy self-sufficiency rate and uses the energy security index method to evaluate the three dimensions of energy supply, demand, and environmental security. The assessment results show that China’s energy security is mainly affected by the over concentration of energy import sources. At the same time, energy demand and environmental security will also have an important impact on China’s energy security. However, relative to energy demand, environmental security factors such as the proportion of clean energy consumption and channel safety factor have a greater impact on China’s energy security. After China and Russia strengthen cooperation in oil and gas resources in the Arctic, China’s energy security index is expected to increase from 0.4419 in 2020 to 0.5412 in 2025. Therefore, China can use technology, funds, scientific research, and other support to carry out all-round cooperation with Russia in the Arctic waterway, oil and gas exploration and development, and Arctic scientific research.

Pathways to carbon neutrality in major exporting countries: the threshold effect of digital transition.

By investigating the threshold effect on carbon emission from the perspective of digital transformation, this paper collects the panel data of 29 world’s major exporting countries from 2000 to 2019 to explore the impact of energy consumption on CO2 discharge by constructing a multi-variate threshold model. We further decompose digital transition into several indicators of digital infrastructure development, digital trade competitiveness, and digital technology exploitation. The key findings demonstrate that energy consumption exert a significant threshold effect on carbon emissions. When per capita energy usage is selected as the core explanatory variable, digital infrastructure and digital technology exploitation display significant single threshold effect. Likewise, when the proportion of renewable energy consumption is considered the key independent variable, digital trade competitiveness and digital technology exploitation also present significant single threshold impact. Overall, the deeper the digital transformation, the weaker the promotion effect of per capita energy consumption on carbon emissions, and the stronger the influence of the proportion of renewable energy on CO2 abatement. Robustness test confirms that the conclusions of this study are stable and consistent. Policymakers ought to better utilize the opportunities that digital transition offer for energy conservation and carbon neutrality realization. The specific policy implications include the following: (1) raise the scale of the application of renewable energy in digital infrastructure, (2) ameliorate the assessment system for the utilization of renewable energy in the digital industry, (3) elevate the incentive mechanism for boosting the adoption of clean energy during digitalization, (4) steadily advance the digital transition and refinement of industrial structure, and (5) high-income developed economies should help low- and middle-income developing countries accelerate the development of low-carbon economy.

Multiscale energy reduction of amine-based absorbent SO2 capture technology: Absorbent screening and process improvement

The high total regeneration energy consumption (Qtot) limits the industrial application of amine-based absorbent SO2 capture technology, and regeneration energy consumption can be divided into desorption reaction heat (Qdes), latent heat consumption (Qlat) and sensible heat consumption. This work focused on developing an energy-efficient SO2 capture technology through amine-based adsorbent screening and process improvement, in which desorption reaction heat, being the internal cause of high regeneration energy consumption, was only related to the type of adsorbent. An absorbent screening method was established with SO2 absorption capacity (α) and desorption reaction heat values as indicators. The screening results showed the functional relationship of Qdes-α for five organic diamines ethylenediamine (EDA), piperazine (PZ), N-hydroxyethylpiperazine (HEP), N, N'-dihydroxyethylpiperazine (DIHEP), and N-hydroxyethyl-N'-hydroxypropylpiperazine (HEHPP)): according to αEDA > αPZ > αHEHPP > αHEP > αDIHEP, Qdes(EDA) > Qdes(PZ) > Qdes(HEHPP) > Qdes(DIHEP) > Qdes(HEP). The latent heat consumption and sensible heat consumption were related to process configuration, and N-methyldiethanolamine (MDEA), EDA, PZ and HEP were screened as amine-based absorbers for process modeling. The energy analysis showed that the order for regeneration energy consumption of the four absorbents followed Qtot(MDEA) > Qtot(EDA) > Qtot(PZ) > Qtot(HEP), and the energy distribution calculations showed that latent heat consumption had the largest proportion in regeneration energy consumption. Three improved processes (the rich-split, the lean-flash heat pump and the top-steam heat pump processes) were designed to recover the energy available in the system. Compared to the conventional process, the top-steam heat pump case could greatly reduce the regeneration energy consumption, and the Qtot values of the four absorbents (MDEA, EDA, PZ, and HEP) in the top-steam heat pump case were 4.28 GJ·t−1 SO2, 3.10 GJ·t−1 SO2, 3.13 GJ·t−1 SO2 and 3.68 GJ·t−1 SO2, respectively. According to technical and economic analyses, the top-steam heat pump case under the PZ absorbent system had the most potential for the flue gas SO2 capture process.

A Low-Carbon Planning Model for Regional Power Systems with Generation-Load-Storage Coordination considering New Energy Resources’ Consumption

With the increase in the proportion of new energy resources being generated in the power system, it is necessary to plan the capacity configuration of the power supply side through the coordination of power generation, grid, load, and energy storage, to create a relatively controllable power generation output and ensure the safe and stable operation of the power system is a key problem that needs to be solved at present. Therefore, combined with national and regional policies and resource constraints in China, this paper firstly determines the requirements and boundary conditions of various power supply planning in the regional power system and proposes a “generation-grid-load-energy storage” coordination mode. Secondly, establish a regional power system coordination planning model considering the proportion of new energy consumption and low-carbon cost. Finally, in three scenarios with a high, medium, and low proportion of new energy resources, the new installed capacity configuration of regional power supply is optimized to verify the effectiveness of the proposed model and provides reference for regional power supply planning.