Distribution Of Energy Consumption Research Articles

Detailed Study on Electronic Data Energy Consumption Monitoring System Based on the Construction of Internet of Things

Background: Buildings, in the traditional sense, are becoming increasingly incapable of meeting modern humans’ pursuit of high-quality living and working environments. With the increasing pace of urban development, modern buildings are becoming increasingly popular. Objective: We investigate an electronic data energy consumption monitoring system based on the construction of Internet of Things for the airport building. Aim: A model based on Dynamic Programming Genetic Algorithm (DPGA) is proposed to generate parameter and service models based on user scenarios. Methods: Two definitions are presented for the communication format between the middleware and the Wireless Sensor Network (WSN); the software and hardware functions of the nodes of the system's WSN are designed, and part of the node is implemented. Finally, the specific implementation of the application program interface and data interface between the modules of the middleware system are described considering the internal environment of a typical office building as an example. The deployment plan of system nodes in specific environments and the division of similar areas are discussed Results: The platform can strictly monitor and manage energy-consuming equipment. Conclusion: The proposed model can be used to achieve reasonable distribution of energy consumption, energy saving, and humanised and automated energy consumption monitoring functions in the office areas of large office buildings in modern cities.

Impact of Energy Saving Companies on OPEX Reduction of Mobile Network Operators in Pakistan

Abstract: Energy Saving Companies (ESCOs) are considered as one of the key factors which helps in reduction of Operational Expenses (OPEX) by reducing the consumption of capital power. In this study, through a Questionnaire, the OPEX reduction potential is compared between ESCOs who and their counterparts who charge for their service. SPSS 21 is used to analyse the data. The result shows that ESCOs have offered substantial savings on capital expenditure when compared with their counterparts. This study analyses the effect of Energy Saving Companies (ESCOs) on the Operational Expenses (OPEX) reduction of Mobile Network operators (MNOs) in Pakistan Telecom Sector. The analysis suggests that mobile operator may reduce its OPEX including Fixed Costs and Variable Cost due to reduction in the unit cost for network upgrade works, planning for end-to-end solution for better future network availability and maintenance period should be reduced. The following study has been performed considering a model which distributes energy consumption by fixed cost method in the form of installed capacity. This study explored the potential of ESCOs to reduce OPEX in Pakistan Telecom sector by discussing and analysing the main issues relating to Energy Saving Solutions (ESSs) that are already established in Pakistan. In this context, it focuses on understanding the energy saving potential of mobile operators through reducing operational expenses through high-impact energy management solutions based on smart metering and renewable energy sources.

Effects of flue gas recirculation on the thermal performance of the gas remediation well

Gas thermal remediation (GTR) is a promising novel soil remediation technology. Many problems such as high energy consumption and unreasonable temperature distribution are still commonly found in the application of the gas remediation well. External flue gas recirculation (e-FGR) was applied to improve the thermal performance of the well. A 3D CFD model of the gas remediation well coupled with e-FGR was developed to analyze the heat transmission and combustion process. Four representative e-FGR ratios, 15 %, 30 %, 45 %, and 60 %, were selected to analyze the relationship between the e-FGR ratio and the well thermal performance. The results show that limited impact is obtained at a low e-FGR ratio and excellent results can only be achieved when the e-FGR ratio reaches 60 %. The maximum flame temperature was reduced by about 28 % at an e-FGR ratio of 60 % when compared with conventional combustion conditions. Localized high-temperature areas on the well surface are eliminated. The total heat transfer of the well increased from 4.69 kW to 6.16 kW when the e-FGR ratio increased from 0 to 60 %, which means a 23.9 % reduction in the remediation cycle and fuel consumption can be achieved at an e-FGR ratio of 60 %.

Reinforcement learning control strategy for differential pressure setpoint in large-scale multi-source looped district cooling system

Large-scale multi-source looped district cooling (MLDC) systems are expected to be a promising solution to support decarbonization goals and combat climate change owing to their advanced structure. Differential pressure control is one of the most common methods to improve the energy and hydraulic performance of MLDC systems. Traditional rule-based control (RBC) and model-based control may not be appropriate for large-scale systems because of the need for expert knowledge and accurate models. Reinforcement learning control (RLC) has attracted considerable research attention owing to its efficiency and flexibility. However, very little is known about RLC in large-scale heating, ventilation, and air conditioning (HVAC) systems and complex issues. Therefore, this study employs a reinforcement learning technique to optimize the differential pressure setpoints of multiple cold sources, which can achieve energy savings and fulfill hydraulic head demands simultaneously. In this study, a Modelica model of a large-scale MLDC system in Beijing was developed as a virtual environment. The Modelica-Python co-simulation testbed for RLC was then implemented. The results show that RLC can save up to 12.99% of the annual distribution energy consumption while achieving a good hydraulic performance. As an information base for a variety of stakeholders, this study offers a reinforcement learning solution that can improve the operating performance of large-scale HVAC systems.

A Hybrid Improved Manta Ray Foraging Optimization With Tabu Search Algorithm for Solving the UAV Placement Problem in Smart Cities

The concept of smart cities is to enhance the life quality of residents and provide efficient services by integrating advanced information and communication technologies, autonomous robots, Internet of Things (IoT) devices, etc. Unmanned Aerial Vehicles (UAVs) are a class of autonomous flying mobile robots that bring a lot of benefits to smart cities due to their mobility, accessibility, autonomy, and many other advantages. Their integration allows for accomplishing hard and complex tasks that humans or other entities are not able to complete. In most applications, multiple connected UAVs are required to build a network under which missions are completed and tasks are shared. This network can be established by finding the optimal UAV placement that meets some requirements such as user coverage, UAV connectivity, energy, and load distribution. In this paper, we present a hybrid algorithm, called IMRFO-TS, based on the hybridization of Improved Manta Ray Foraging Optimization (IMRFO) with the Tabu Search (TS) algorithm for solving the UAV placement problem in a smart city. First, the tangential control strategy is incorporated into the original MRFO algorithm to enhance its convergence speed and explore the search space effectively. Second, The TS algorithm is hybridized with the IMRFO algorithm to increase the exploitation capability of IMRFO and improve the best solution (placement quality) obtained after each iteration. The performance of the proposed IMRFO-TS algorithm is validated using 52 benchmarks considering the fitness value, coverage, connectivity, energy consumption, and load distribution parameters. Compared to eight well-known optimization meta-heuristics such as the original MRFO, TS algorithm, Bat Algorithm (BA), Firefly Algorithm (FA), Grey Wolf Optimization (GWO), Sine Cosine Algorithm (SCA), Whale Optimization Algorithm (WOA), and Reptile Search Algorithm (RSA), the results of the experiments revealed the significant superiority of the proposed IMRFO-TS algorithm by obtaining promising solutions (optimal positions of UAVs) in the majority of the cases.

A 1000MW ultra-supercritical secondary reheat unit Energy consumption analysis of thermodynamic system

Taking the thermodynamic system of a 1000MW ultra-supercritical secondary reheating unit as the research object, the modeling energy consumption analysis was carried out, and the spatial distribution of energy consumption was determined, so as to provide a scientific basis for the operation optimization and energy-saving transformation of the unit. The analysis results show that: Boiler is one of the largest equipment factory irreversible loss, make up the loss by 85.1% of the total loss of the system, although the number of its external loss is not big but internal loss is very big, and the loss is high grade of energy, the number of the steam turbine cold source loss although large irreversible loss is not big but the grade is not high, its loss make up only 2.32% of the total loss system.

Application of artificial intelligence and neural network technologies in the construction industry

One of the problems that may arise in the way of successful implementation of energy supply in urban areas is the difficulty of analyzing and interpreting a large amount of digital data received from various sensors. This problem may adversely affect the performance of energy organizations. The purpose of this study is to study modern tools to solve the problem of processing big data using technologies of simulation and artificial intelligence. This study is dedicated to the development of innovative digital models for the balanced distribution of energy consumption in urban areas.

Analysis of Energy Efficiency and Sustainability Indicators of the Petroleum Industry in Serbia

Current energy trends and the achieved level of sustainability of the petroleum industry in Serbia were analysed in this paper. Certain impacts of this sector on the environment were also considered, primarily through the emission of greenhouse gases. The latest publicly available data on the energy balance and emissions in this sector from the published reports of the NIS company for the year 2021, as a key representative of the oil and gas industry in Serbia, were used for the analysis. Based on the calculated energy indicators, a high level of energy consumption was confirmed in Serbian petroleum sector. In terms of energy security, this industry sector is mostly dependent on imported raw materials. The highest energy consumption within the sector is in the domains of exploration, production and processing, while the domains of trade and transport are less represented. The spatial distribution of energy consumption within the sector is uneven. Such trends are also present in comparable energy sectors in the region of Central and Southeastern Europe. Emissions of greenhouse gases from the activities of the petroleum industry in Serbia for 2021 are estimated at the level of 2.7% of total domestic emissions (according to the available 2019 trend. The largest part is emissions due to processing, followed by exploration and production. Sustainability indicators confirm a certain negative impact of this sector on the emission of greenhouse gases, the largest part of which was direct emissions. Observed trends and tendencies to reduce total energy consumption and neutralize environmental pollution remain key for the entire petroleum sector in Serbia. It is expected that the current projects will provide measurable benefits of increasing energy efficiency and sustainability of the sector in the coming period. Their implementation is beyond question and should not be delayed.

Planning Strategy for Urban Building Energy Conservation Supported by Agent-Based Modeling

As a systematic, preventive, and structural adjustment method of improving building energy conservation and carbon emission reduction, urban planning has received extensive attention. However, due to the insufficient interface between energy-saving technology and urban planning systems, urban planning has not properly played a role in building energy conservation. Scientific and innovative technical methods are urgently needed to explore the role of coordinating multiple effective planning elements in overall building energy conservation through urban planning means. Due to climate conditions, there is high demand for conserving building energy in severe cold regions, but research into this has not been thoroughly carried out. Harbin, located in the northeast of China, belongs to the Dwa zone of the Köppen–Geiger Climate Classification, and is also a typical city of severe cold regions where the daily average temperature is lower than 5 °C for more than 145 days in a year. This study takes Harbin as an example and uses agent-based modeling to establish an urban-scale building energy consumption simulation model. The model contains four types of agents (a global agent, building agent, residential agent, and household equipment agent) and two types of influence factor modules (an urban form module and a climate module). Three simulation scenarios were designed, including a baseline scenario, an urban form scenario, and a climate scenario. The baseline scenario provided an overview of the urban-scale building energy consumption distribution characteristics of Harbin and served as a reference group for the simulation results of other scenarios. The urban form scenario results show that when the elements with a highly significant impact change by 1 unit, the retail building block has the most obvious change in energy consumption, up to 44.7 × 106 kWh/105 m2/year, while the office building block has the lowest change, with 34.5 × 103 kWh/105 m2/year. The fluctuation of electricity is the most obvious, but the total change is lower than the heating energy consumption. The climate scenario shows that the energy consumption of residential land in urban centers will consistently rise in the next 50 years, up to 5.3 × 105 kWh/105 m2/year. Based on these results, this study puts forward future building energy conservation planning strategies for Harbin, focusing on three aspects: the planning and control of urban form, the optimization and adjustment of the climate, and the building energy conservation planning system. These research results are expected to provide scientific support for transforming Harbin into a low-carbon city.

Energy Conservation and Energy Audit as an Energy Saving Effort at MSTP UNDIP (case study of MSTP Undip Jepara)

Conservation and energy saving audits on the consumer side are carried out to reduce the rate of energy use so that energy is not wasted. The MSTP Undip Jepara building was chosen as the object of the audit due to the absence of an energy audit report as a form of energy saving plan. Energy audits are carried out using the energy consumption intensity method to determine the efficiency level of the building based on the Minister of Energy and Mineral Resources Regulation No. 13 of 2012 and the significant energy users method to determine the distribution of energy consumption on installed equipment so that energy saving opportunities can be saved. Based on the calculation results, the MSTP Building is in the category of efficient energy consumption with the energy consumption intensity of air-conditioned and non air-conditioned buildings in 2021 with value 9.0 kWh/m2/month and 4.9 kWh/m2/month. Energy saving opportunities savings in the no/low cost category, the resulting savings are Rp. 31,963,190, medium cost Rp. 18,490,311, and high cost Rp. 582,503. Savings include setting air-conditioned temperature, reducing air-conditioned operating hours, replacing TL Neon and Spiral lamps with LEDs, as well as replacing conventional PCs with All-in-one PCs

Heterogeneous Azeotropic Extractive Coupled Heat Pump Distillation for Triethylamine‐Dichloromethane‐Acetone‐Water

AbstractThere are three kinds of binary azeotropes and one kind of a near‐boiling compound with clamping zone characteristics in the triethylamine‐dichloromethane‐acetone‐water system, which belongs to complex quaternary systems. A four‐column distillation process of heterogeneous azeotropic extraction for the separation of the system was designed, simulated, and optimized to obtain more suitable process parameters and energy consumption distribution of each column. On this basis, taking the total annual cost (TAC) as the comprehensive economic evaluation index and CO2 emission as the environmental evaluation index, the thermal integration technology and mechanical vapor recompression (MVR) heat pump technology were applied to the energy‐saving research of the distillation process for the system. The results indicate that compared with the conventional four‐column heterogeneous azeotropic extractive distillation process, the thermal integration distillation process and single‐column MVR heat pump coupled thermal integration distillation process can save energy consumption and TAC, and it can reduce CO2 emission.

Energy-Saving Operation Strategy for Hotels Considering the Impact of COVID-19 in the Context of Carbon Neutrality

With the advent of the post-epidemic era, the energy consumption characteristics of hotels have changed, which has an important impact on urban energy conservation. In order to contribute to the goal of carbon neutrality, this study discusses the energy-saving operation strategy of hotels considering the impact of the COVID-19 epidemic. Based on the energy consumption characteristics of large public buildings, this paper analyzes the energy consumption distribution and operation characteristics of hotel buildings in detail. By collecting energy consumption data from five typical large hotel buildings in a tourist city in southern China from 2018 to 2022, the impact of COVID-19 on hotel energy consumption and hotel business characteristics was discussed in detail. Combined with the economic development characteristic in the post-epidemic era, this paper explores the energy-saving strategies that hotels can adopt in the context of normalized epidemic prevention and control and obtains the optimal path of low-carbon economic operation of hotel buildings. This study reveals the energy consumption characteristics and energy-saving potential of hotel buildings, and provides enlightenment for hotel management and low-carbon development in the post-epidemic era.

Türkiye Ekonomik Büyümesinde Yenilenebilir Enerji: Mevcut Durum, Gelecek Beklentileri, İstihdam ve Yatırım Fırsatları

Energy is one of the significant factors of economic growth and development. Accelerating technological developments in the global world has increased energy consumption. Nowadays, renewable alternative energy sources are high on the agenda due to the limited energy resources. This study aims to predict the future of the global energy consumption and world energy distribution scenario and reveal investment opportunities and employment results in Turkey using the projections of the current situation and future expectations. For this purpose, the relevant data obtained from the Enerdata database for the world energy distribution in the period of 2000-2050, specific to Europe, Asia, Africa, the Middle East, North America, Latin America, CIS (Commonwealth of Independent States), and the Pacific, were compared, and the situation of Turkey in this process has been analyzed descriptively with specific indicators. According to the results, although renewable energy production investments have increased in Turkey, oil, natural gas, and coal still occupy a considerable place in the total energy supply, and the share of renewable resources such as wind and sun is very insufficient and should increase gradually. However, it has been found that the part of renewable energy sources in electricity production and primary energy consumption would rise and provide new employment opportunities with technological developments. The results are expected to provide fruitful information to policymakers, project developers, investors, industries, and relevant stakeholders.

The Effect of Electricity Distribution Loos, Electricity Power Consumption, Electricity Intensity on Energy Consumption in West Africa

This paper analyses the effect of electricity distribution loos, carbon emissions, growth, and energy consumption nexus in West Africa utilising pooled series data that spans the decades of 1970 to 2019. The paper employs cross sectional auto regressive distributive lag model (CS-ARDL), and Dumitrescu Hurlin Causality Test. The result of unit root test reveals that the variables have mixed stationary. In addition, the empirical analysis revealed a statistically significant negative relationship between electricity distribution losses on energy consumption while electricity intensity level, electricity power consumption and economic growth prevails positive on energy consumption in the log-run. The result established a unidirectional causal relationship running from energy consumption LEC to electricity distribution losses LEDL while a bidirectional relationship was found between electricity intensity level LEIL causing LEPC electric power consumption and carbon emission LCO2.

Integrating a heat pump into a 4th generation district heating (4GDH) system – Two-mode configuration inputting operational data

The aim is to examine integrating a heat pump (HP) into a district heating (DH) system versus potential savings in the separate scenario. It takes into account all the properties of both DH system and a HP operation, and gives the understanding of temperature, pressure and enthalpy of refrigerant at each cycle point. Contribution to the pool of knowledge is considering a novel configuration, which allows to get rid of a heat exchanger between the water-source HP and the network. Scenarios of (i) separate operation of a HP, and (ii) integrating it into a DH system and inputting design data only, or (iii) utilizing operational data have been analyzed. Multiple thermal simulations have been performed. We also allow traditional coverage of heat demand with the help of a supply line of high-temperature DH (HTDH), thus elaborated what happens when the outdoor air temperature drops below lower threshold. Hence, the model identifies two stages of operating a HP integrated into a DH system. Starting from it, the temperature of the supply water should be 50 °C and above, so it is more effective to use supply water directly until the outdoor temperature rises again. This outdoor temperature implies change of operational mode, which leads to the following results. On cold winter days, the available amount of heat is lower than the energy consumption, therefore, energy from a supply line of HTDH is utilized, which gives overall energy saving effect of about 14 %. Mass flow rates through the configuration suggested are identical during moderate-cold fall and spring days, since the control logic is established with the help of variation of supply temperature only. Single HP has the lowest efficiency because of high temperatures needed: with a nominal temperature difference of 25 °C, the coefficient of performance (COP) rises to 5.0 only. At the break-even point, HP in each configuration has COP ranging between 3.51 and 4.43, while the rest of the time COP is just above 2. In different cases, the lowest threshold of HP's performance is 2.4, 2.6, and 2.89, respectively. The DH-assisted scenario, where peak energy demand was covered by DH system directly, clearly outperformed separate installation, where a HP was the only thing responsible to provide the necessary supply temperatures. For this case, lower COP stipulates less energy is supplied from the DH system, and therefore a lower share of consumption is supplied directly from supply line, which decreases the overall seasonal COP. Scenario (iii) of inputting DH operational data has the highest seasonal COPs, reasoned to higher than design return temperatures. Given the low performance of a HP raising water temperature to 55 °C (the lowest threshold acceptable in winter) a single HP with no backup capacity accounts for 23 % more energy use. Supported by a coal-fired combined heat-and-power plant, distribution of primary energy consumption is more favorable, i.e. coal-fired generation covers the peak. The positive effect is expanded by converting a part of heat demand from HP operation to cheaper HTDH operation.

Enhanced electrokinetic remediation of heterogeneous aquifer co-contaminated with Cr(VI) and nitrate by rhamnolipids

Electrokinetic remediation is an in situ remediation technique that is gaining increasing attention in the field of groundwater contaminant removal. Aquifers co-contaminated with hexavalent chromium (Cr(VI)) and nitrate are becoming more common and research on the remediation of this pollutant is attracting worldwide attention owing to the considerable human health hazards of Cr(VI) and nitrate, including carcinogenicity, genotoxicity, and cytotoxicity. Electrokinetic remediation technology has significant advantages for the treatment of heterogeneous aquifers. This is the first study on the electrokinetic remediation of an aquifer co-contaminated with toxic heavy metals and inorganic salts. This study investigated the feasibility of electrokinetic remediation for layered heterogeneous aquifers co-contaminated with Cr(VI) and nitrate in the presence of groundwater flow, and it also assessed the ability of the anionic biosurfactant rhamnolipid to enhance the remediation effect. Changes in the pH, electrical conductivity, Cr(VI), nitrate, electric current, and the distribution of energy consumption and the voltage contour were analyzed through seven sets of experiments. The highest removal rates of Cr(VI) and nitrate were 97.30% and 87.08%, respectively. Rhamnolipids greatly enhanced the electrokinetic remediation process, especially in medium with moderately low permeability: 1) rhamnolipids improved Cr(VI) removal(from 1.62% of EK3 to 85.57% of EK6 and from 48.42% of EK4 to 94.18% of EK7) through migration and reduction; and 2) rhamnolipids improved nitrate removal (from 13.03% of EK3 to 71.72% of EK6 and from 23.69% of EK4 to 78.43% of EK7) through enhanced migration.

An Improved Equal Area Criterion for Transient Stability Analysis of Converter-Based Microgrid Considering Nonlinear Damping Effect

As a flexible and reliable way for distributed energy consumption and integration, the converters-dominated microgrid has attracted more and more attention recently. Owing to the low inertia and high nonlinearity of power converters, the islanded microgrid under large-signal disturbances is easily suffer to transient stability problems. To support the stable operation of microgrid, grid-forming converters are extensively investigated and applied. In this paper, an improved equal area criterion (IEAC) is proposed for the transient stability analysis of a simple microgrid equipped with both grid-following and grid-forming converters. Firstly, a simplified second-order model of the microgrid is established, which contains a nonlinear damping term relying on the power angle. Then, the limitation of conventional equal area criterion (EAC) for transient stability analysis is revealed, which completely ignores the unfavorable influence of negative damping and may lead to erroneous judgement. To fill this gap, an improved equal area criterion is proposed to derive the transient stability conditions for islanded microgrid, which could improve the estimation accuracy of stability boundaries. Moreover, impacts of system parameters and controller parameters on transient stability are studied, which provides useful guidelines for the parameter optimization of grid-forming and grid-following converters. Eventually, simulation and hardware-in-loop experiments are conducted to verify the effectiveness and superiority of the proposed method.

A Three-Dimensional Investigation of Spatial Relationship between Building Composition and Surface Urban Heat Island

Urban heat island (UHI) phenomena are on the increase and are responsible for excessive energy use, environmental harm, and detrimental effects on human health in many parts of the world. Case studies of individual cities imply that wise planning and policymaking might lessen the consequences of UHI by altering aspects of urban settings such as land use/cover (LULC). Determining the influence of LULC planning on UHIs has proven difficult due to the diversity of elements that can alter urban surroundings. This study evaluated building functions and the three-dimensional distribution of structures on land surface temperatures (LSTs) in Tsukuba, a science city in Japan, to estimate the influence of landscape composition on UHIs. We used multiple regression analysis to examine the relationship between LST and LULC, building height, building function, and other variables (e.g., distance to/from roads). Our results showed that management and control of the distribution of buildings, population density, and energy consumption could significantly reduce LSTs, realize sustainable development, and ensure a healthy environment in a planned city. Furthermore, a better theoretical understanding of what makes cities sustainable can enhance the ecological awareness of urbanites and help cities evolve in a sustainable way.

A Comparison Study on Magnetorheological Multi-Disc Clutches in Steady Continuous-Duty States from the Viewpoint of Electrical Energy Consumption and Spatial Temperature Distribution

The paper is focused on magnetorheological (MR) clutches applied in industrial drive systems working in a steady continuous-duty state. The main goal of the carried out numerical and analytical analyses oriented towards electrical power consumption, copper losses (Joule heat) in an excitation coil, spatial temperature distributions and the highest temperature possible for an MR fluid is to compare MR clutches due to a different number of discs. The authors considered selected representative MR multi-disc clutches with one, two, three or four discs, developing clutching torque Tc equal to 20, 35 and 50 Nm. These clutches were constructed based on the in-house design that integrates analytical and field methods (further in the paper referred to as the integrated analytical-field design method) described in the literature. The thermal computer simulation results obtained with the help of the AGROS2D program, combined with findings achieved with the use of simplified physical reasonings, allow one to draw the conclusion that the most advantageous, recommended number of discs for a magnetorheological clutch from the viewpoint of various (both constructional and thermal) criteria is the number of discs: N = 2. This conclusion takes into account the results presented earlier in the literature: the choice is a compromise between decreasing the mass (volume) of the MR clutches and increasing both the electrical power consumption and the maximum temperature of MR fluids in a clutch working region as the number of discs, N, increases.

The Effect of Energy Consumption on China’s Regional Economic Growth from a Spatial Spillover Perspective

Under the downward pressure of the economy, China’s extensive economic growth relying on factor input is difficult to sustain, and adjusting the total amount and structure of energy consumption to promote high-quality economic development has become an urgent problem to be solved. Based on the exploratory spatial data analysis method (ESDA) and the partial differential method of the spatial regression model, the paper measures the spatial spillover effect of energy consumption on economic growth by taking 30 provincial units in China as the research object. The results are as follows: (1) There is a significant spatial agglomeration in the spatial distribution of regional economic growth and energy consumption, that a core-periphery model has been formed with the eastern region as the core. Therefore, in view of the imbalance in regional development, more attention should be paid to the rationality of industrial spatial distribution when formulating policies, so as to achieve the sustainable development of China’s economy. (2) Through further empirical testing of spatial metrology, it has been found that regional energy consumption has a significant spatial spillover effect on economic growth, and this effect varies according to region and type of energy consumption. Among them, although coal consumption accounts for the largest proportion of energy consumption structure, the economic effect is very limited, which provides a possibility for the government to optimize the allocation of energy resources and shift to a green economy. Therefore, more energy policies should be developed to encourage the development of clean energy.