Pub Date : 2023-01-31DOI: 10.13052/spee1048-5236.4225
Xu Chen, Zubo Zhang, Qingjie Liu, Ling Sun, H. Xiao, Jian Gao, Hao Kang
Due to its distribution and reserve characteristics, tight oil has become one of the main targets for future oil and gas exploration. The use of waste flue gas for oil displacement can not only reduce carbon emissions but also enhance oil recovery, which is a technology with great prospects nowadays. In this paper, the pore structure of the tight reservoir core was first characterized by scanning electron microscopy and casting thin section test. Based on these foundations, the displacement experiment was carried out on the tight oil recovery modelling platform, and the pressure distribution and recovery percent of reserves by flue gas huff and puff were innovatively characterized. Study shows that the formation pressure can be maintained in a good level by this technology and the final recovery can be improved a lot than depletion exploitation method. Therefore, the flue gas huff and puff is an effective and advanced technology for tight oil recovery. In the end, specific suggestions are also provided concerning future studies on the field application of flue gas flooding for enhanced oil recovery.
{"title":"Huff and Puff by Flue Gas for Tight Oil Recovery to Achieve Sustainable Energy Future","authors":"Xu Chen, Zubo Zhang, Qingjie Liu, Ling Sun, H. Xiao, Jian Gao, Hao Kang","doi":"10.13052/spee1048-5236.4225","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4225","url":null,"abstract":"Due to its distribution and reserve characteristics, tight oil has become one of the main targets for future oil and gas exploration. The use of waste flue gas for oil displacement can not only reduce carbon emissions but also enhance oil recovery, which is a technology with great prospects nowadays. In this paper, the pore structure of the tight reservoir core was first characterized by scanning electron microscopy and casting thin section test. Based on these foundations, the displacement experiment was carried out on the tight oil recovery modelling platform, and the pressure distribution and recovery percent of reserves by flue gas huff and puff were innovatively characterized. Study shows that the formation pressure can be maintained in a good level by this technology and the final recovery can be improved a lot than depletion exploitation method. Therefore, the flue gas huff and puff is an effective and advanced technology for tight oil recovery. In the end, specific suggestions are also provided concerning future studies on the field application of flue gas flooding for enhanced oil recovery.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42620241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-31DOI: 10.13052/spee1048-5236.4226
Krishna Kumba, S. P. Simon, K. Sundareswaran, P. S. R. Nayak
Nowadays solar power generation has significantly improved all over the world. Therefore, the power estimation of photovoltaic (PV) using weather parameters presents the future management of energy utilization in power system planning. This article presents the power forecast of the Second Order Lever Principle Single Axis Solar Tracker (SOLPSAST) system. A deep neural network is developed using Long Short Term Memory (LSTM) and is validated on sunny, cloudy and partially cloudy days. The performance of the proposed LSTM in comparison with Support Vector Machine (SVM) has improved the Mean Absolute Proportion Error (MAPE) forecasts accuracy to 4.29%, 5.16%, and 4.82% for sunny, cloudy and partially cloudy days, respectively. Also, the estimated Mean Relative Error (MRE) value of the LSTM model for sunny, cloudy and partially cloudy days is 3.19%, 4.10%, and 4.02%, respectively. Finally, the forecasted power generation of the SOLPSAST system’s monthly average and annual generation is found to be 2.45 Wh, and 29.44 kWh, respectively.
{"title":"LSTM Based Forecasting of PV Power for a Second Order Lever Principle Single Axis Solar Tracker","authors":"Krishna Kumba, S. P. Simon, K. Sundareswaran, P. S. R. Nayak","doi":"10.13052/spee1048-5236.4226","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4226","url":null,"abstract":"Nowadays solar power generation has significantly improved all over the world. Therefore, the power estimation of photovoltaic (PV) using weather parameters presents the future management of energy utilization in power system planning. This article presents the power forecast of the Second Order Lever Principle Single Axis Solar Tracker (SOLPSAST) system. A deep neural network is developed using Long Short Term Memory (LSTM) and is validated on sunny, cloudy and partially cloudy days. The performance of the proposed LSTM in comparison with Support Vector Machine (SVM) has improved the Mean Absolute Proportion Error (MAPE) forecasts accuracy to 4.29%, 5.16%, and 4.82% for sunny, cloudy and partially cloudy days, respectively. Also, the estimated Mean Relative Error (MRE) value of the LSTM model for sunny, cloudy and partially cloudy days is 3.19%, 4.10%, and 4.02%, respectively. Finally, the forecasted power generation of the SOLPSAST system’s monthly average and annual generation is found to be 2.45 Wh, and 29.44 kWh, respectively.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49511141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research aims at extraction of nanocarbon from local raw materials through a detailed study of its characteristics. The research involves study of thermal properties of fruit kernels (apricots) and walnut kernels, determining the optimal modes of the carbonization process for each type of raw material, developing a method for the synthesis of spherical granules by liquid granulation and determining the optimum concentration of the sulfuric acid solution used in granulation. Analysis of the results on the dynamic sorption of petroleum products showed that maximum sorption is achieved when using a sorbent obtained at 400∘C for 30 minutes. Temperature regimes have been optimized for obtaining sorbent from walnut shells with different carbon content. The hydrophobicity and oleophilic of their surface are common to all these materials. The dynamic conditions of the adsorption capacity processes under the sorbents were studied. Sorption efficiency and the specific capacity of sorbents were determined. It has been shown that the technological cycle of the studied sorbents can be repeated by repeated purification. When activated charcoal is used to purify water from petroleum products, the process of leaching with colloidal and finely dispersed mixtures – it was found that deaeration is necessary. The individual composition of the ether fraction OV-1 has a fixed liquid phase, Connected to Finuigan 4023 Automated GC/MS System mass spectrometer, It was determined by chromato-mass spectrometry in a capillary column 40 m long and 0.25 mm in internal diameter. The results of the Fure-IR spectroscopy study of samples based on the apricot peel, walnut peel, and walnut peel showed that winning symmetrical bands (2920 and 2851 cm−1) were observed in them, these bands belong to the C-H-valence oscillation belonging to the methyl and methylene groups. In the spectrum taken from a sample of apricot peel, absorption bands belonging to cellulose (1377 cm−1 and 1069 cm−1 ) were observed. Thermogravimetric studies were performed on an STA 449C Jupiter synchronous thermal analysis instrument in the inert environment at a heating rate of 10∘ C/min in the temperature range of 25–1000∘C. Analysis of the porous structure parameters of carbon sorbents were carried out using the high-speed analyzer of gas sorption NOVA-1200e by the method of imaging nitrogen adsorption isotherms at a temperature of 77K.
{"title":"Production of Nanocarbon from Local Raw Materials","authors":"Kholmirzaeva Khilola, Fayzullayev Normurot Ibodullayevich, Normurodov Otajon Uktamovich, Haydarov Gayrat Shoyimovich","doi":"10.13052/spee1048-5236.4219","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4219","url":null,"abstract":"This research aims at extraction of nanocarbon from local raw materials through a detailed study of its characteristics. The research involves study of thermal properties of fruit kernels (apricots) and walnut kernels, determining the optimal modes of the carbonization process for each type of raw material, developing a method for the synthesis of spherical granules by liquid granulation and determining the optimum concentration of the sulfuric acid solution used in granulation. Analysis of the results on the dynamic sorption of petroleum products showed that maximum sorption is achieved when using a sorbent obtained at 400∘C for 30 minutes. Temperature regimes have been optimized for obtaining sorbent from walnut shells with different carbon content. The hydrophobicity and oleophilic of their surface are common to all these materials. The dynamic conditions of the adsorption capacity processes under the sorbents were studied. Sorption efficiency and the specific capacity of sorbents were determined. It has been shown that the technological cycle of the studied sorbents can be repeated by repeated purification. When activated charcoal is used to purify water from petroleum products, the process of leaching with colloidal and finely dispersed mixtures – it was found that deaeration is necessary. The individual composition of the ether fraction OV-1 has a fixed liquid phase, Connected to Finuigan 4023 Automated GC/MS System mass spectrometer, It was determined by chromato-mass spectrometry in a capillary column 40 m long and 0.25 mm in internal diameter. The results of the Fure-IR spectroscopy study of samples based on the apricot peel, walnut peel, and walnut peel showed that winning symmetrical bands (2920 and 2851 cm−1) were observed in them, these bands belong to the C-H-valence oscillation belonging to the methyl and methylene groups. In the spectrum taken from a sample of apricot peel, absorption bands belonging to cellulose (1377 cm−1 and 1069 cm−1 ) were observed. \u0000Thermogravimetric studies were performed on an STA 449C Jupiter synchronous thermal analysis instrument in the inert environment at a heating rate of 10∘ C/min in the temperature range of 25–1000∘C. Analysis of the porous structure parameters of carbon sorbents were carried out using the high-speed analyzer of gas sorption NOVA-1200e by the method of imaging nitrogen adsorption isotherms at a temperature of 77K.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42460526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-29DOI: 10.13052/spee1048-5236.4215
Archana
The several challenges confronted by the energy sector in India have impelled to adopt advanced technologies to make the grid more effective, sustainable, and secure. In this context, this study proposes a hierarchical model with identified barriers to smart grid acceptance by consumers in India. Seventeen barriers to consumers’ acceptance of smart grid technology were identified through a literature survey. Data were collected from 221 respondents through a questionnaire survey, and variables were measured on a 5-point Likert scale. EFA was used for data validation and extraction of the hidden construct. Six hidden constructs were identified, and a “hierarchical model” was developed by applying the Fuzzy-TISM methodology. The result highlights that barriers like lack of government policies and lack of public resources and monetary benefits are prominent factors that affect consumers’ involvement in the successful implementation of smart grid technology.
{"title":"Smart Grid Technology Acceptance Barriers: Indian Consumers Perspective","authors":"Archana","doi":"10.13052/spee1048-5236.4215","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4215","url":null,"abstract":"The several challenges confronted by the energy sector in India have impelled to adopt advanced technologies to make the grid more effective, sustainable, and secure. In this context, this study proposes a hierarchical model with identified barriers to smart grid acceptance by consumers in India. Seventeen barriers to consumers’ acceptance of smart grid technology were identified through a literature survey. Data were collected from 221 respondents through a questionnaire survey, and variables were measured on a 5-point Likert scale. EFA was used for data validation and extraction of the hidden construct. Six hidden constructs were identified, and a “hierarchical model” was developed by applying the Fuzzy-TISM methodology. The result highlights that barriers like lack of government policies and lack of public resources and monetary benefits are prominent factors that affect consumers’ involvement in the successful implementation of smart grid technology.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49292136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-29DOI: 10.13052/spee1048-5236.4214
Hongyan Wang, Zihong Zhang, Ning Gao
In the renewable energy consumption scheduling, due to the large fluctuation of wind power output, the renewable energy consumption rate is low, and the energy consumption scheduling effect is poor. Therefore, a new renewable energy consumption scheduling model based on quantitative feedback theory is designed. For the first time, calculate the output response of wind power generation, obtain the output change rate of the wind farm at the time scale, and determine the response curve of wind power generation according to the power generation process is divided into three stages: the initial stage, the peak stage and the end stage, and the response output during the peak period, so as to obtain the transfer rate of output during the peak period. Build a mathematical model of renewable energy power generation, calculate the output state of wind power generation, and analyze the output characteristics of renewable energy storage system; Secondly, the objective weight coefficient of renewable energy consumption is determined by using quantitative feedback theory, the objective function of renewable energy consumption is constructed, the power injected by parameter nodes is determined, the quantitative feedback controller is designed by using loop shaping technology, the control structure of two degrees of freedom is determined, the objective function of renewable energy consumption is constructed, and the constraint range of renewable energy consumption capacity is determined according to static constraints such as current constraints and voltage constraints; Then, the quantitative feedback theoretical controller is designed, the input and output transfer functions of the consumption system are determined, and the renewable energy consumption scheduling model is constructed. The renewable energy consumption scheduling model is solved by particle swarm optimization through a variety of index parameters in the renewable energy consumption determined by the QFT controller. The experimental results show that the proposed model can effectively improve the renewable energy consumption rate and optimize the consumption scheduling effect.
{"title":"Design of Renewable Energy Consumption Scheduling Model Based on Quantitative Feedback Theory","authors":"Hongyan Wang, Zihong Zhang, Ning Gao","doi":"10.13052/spee1048-5236.4214","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4214","url":null,"abstract":"In the renewable energy consumption scheduling, due to the large fluctuation of wind power output, the renewable energy consumption rate is low, and the energy consumption scheduling effect is poor. Therefore, a new renewable energy consumption scheduling model based on quantitative feedback theory is designed. For the first time, calculate the output response of wind power generation, obtain the output change rate of the wind farm at the time scale, and determine the response curve of wind power generation according to the power generation process is divided into three stages: the initial stage, the peak stage and the end stage, and the response output during the peak period, so as to obtain the transfer rate of output during the peak period. Build a mathematical model of renewable energy power generation, calculate the output state of wind power generation, and analyze the output characteristics of renewable energy storage system; Secondly, the objective weight coefficient of renewable energy consumption is determined by using quantitative feedback theory, the objective function of renewable energy consumption is constructed, the power injected by parameter nodes is determined, the quantitative feedback controller is designed by using loop shaping technology, the control structure of two degrees of freedom is determined, the objective function of renewable energy consumption is constructed, and the constraint range of renewable energy consumption capacity is determined according to static constraints such as current constraints and voltage constraints; Then, the quantitative feedback theoretical controller is designed, the input and output transfer functions of the consumption system are determined, and the renewable energy consumption scheduling model is constructed. The renewable energy consumption scheduling model is solved by particle swarm optimization through a variety of index parameters in the renewable energy consumption determined by the QFT controller. The experimental results show that the proposed model can effectively improve the renewable energy consumption rate and optimize the consumption scheduling effect.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48927067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-29DOI: 10.13052/spee1048-5236.4218
Guoan Wei
A smart, sustainable city that employs ICTs (information and communication technologies) improves urban businesses and services’ quality of life, productivity, and competitiveness. A sustainable smart city’s significant challenges are legislation and regulations, financing, technical and infrastructural dimensions. While at the same time providing for the economic, social, environmentally, and cultural needs of the present and future generations. Continuous population and urban development have stepped up creative ways of tackling urbanization, with limited implications supporting smart cities’ environments. This cram aimed to build a user-centred design using a sustainable big data analytics assisted optimization framework (SBDAAO) to step up creative ways of tackling urbanization with limited environmental implications. This research represents a first move to provide perspectives and value in creating intelligent cities to instil sustainability. Simulation analysis has been carried out based on the data collected based on city infrastructure. The experimental results have been executed, and the suggested method achieves an accuracy ratio (98.2%), the efficiency ratio (95.5%), energy consumption (20.1%), average communication delay (17.6%), and renewable power (93.9 %).
{"title":"Modelling a Sustainable Smart City Based on Human and User Centred Design","authors":"Guoan Wei","doi":"10.13052/spee1048-5236.4218","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4218","url":null,"abstract":"A smart, sustainable city that employs ICTs (information and communication technologies) improves urban businesses and services’ quality of life, productivity, and competitiveness. A sustainable smart city’s significant challenges are legislation and regulations, financing, technical and infrastructural dimensions. While at the same time providing for the economic, social, environmentally, and cultural needs of the present and future generations. Continuous population and urban development have stepped up creative ways of tackling urbanization, with limited implications supporting smart cities’ environments. This cram aimed to build a user-centred design using a sustainable big data analytics assisted optimization framework (SBDAAO) to step up creative ways of tackling urbanization with limited environmental implications. This research represents a first move to provide perspectives and value in creating intelligent cities to instil sustainability. Simulation analysis has been carried out based on the data collected based on city infrastructure. The experimental results have been executed, and the suggested method achieves an accuracy ratio (98.2%), the efficiency ratio (95.5%), energy consumption (20.1%), average communication delay (17.6%), and renewable power (93.9 %).","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41996043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-28DOI: 10.13052/spee1048-5236.4212
Hao Kang, Jian Gao, Gang Hui
With the development of humankind, energy demand and climate change have both faced with serious situations now. In order to find new technologies for solving these problems, long core displacement experiment concerning CO2 flooding is conducted with 11 different core samples from N formation in M oilfield. Results show that oil production rate will be greatly improved and the oil recovery can reach nearly 25% by the CO2 huff and puff process using 3 rounds which is much higher than the real recovery factor in M oilfield. Considering the enhanced oil recovery and carbon storage effects generated by this technique at the same time, CO2 flooding is definitely a promising technique with great potential both for sustainable development of oil companies and humankind. For large scale field application, it is suggested that oil companies and governments should provide corresponding support policy concerning further study of this technology. Particularly, further studies should focus on the application of CO2 flooding with other EOR technologies, optimal CO2 injection mode, optimal CO2 injection rate, optimal CO2 injection pressure and so on.
{"title":"Laboratory Evaluation of CO2 Flooding: A Strategic Technology for Sustainable Development of Oil Companies","authors":"Hao Kang, Jian Gao, Gang Hui","doi":"10.13052/spee1048-5236.4212","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4212","url":null,"abstract":"With the development of humankind, energy demand and climate change have both faced with serious situations now. In order to find new technologies for solving these problems, long core displacement experiment concerning CO2 flooding is conducted with 11 different core samples from N formation in M oilfield. Results show that oil production rate will be greatly improved and the oil recovery can reach nearly 25% by the CO2 huff and puff process using 3 rounds which is much higher than the real recovery factor in M oilfield. Considering the enhanced oil recovery and carbon storage effects generated by this technique at the same time, CO2 flooding is definitely a promising technique with great potential both for sustainable development of oil companies and humankind. For large scale field application, it is suggested that oil companies and governments should provide corresponding support policy concerning further study of this technology. Particularly, further studies should focus on the application of CO2 flooding with other EOR technologies, optimal CO2 injection mode, optimal CO2 injection rate, optimal CO2 injection pressure and so on.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41730690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-28DOI: 10.13052/spee1048-5236.42111
Luoyi Jia
This article investigates the impact of various regional technical profiles on local economies’ resistance to external shocks. It uses panel assessments of level information from 2015 to 2020 to conduct an empirical investigation of the causes of resilience. It begins by developing a calculable broad balance prototype that integrates key features of financing and the time-path of the financial system. Using a dynamic, calculable broad balance prototype recuperates with and without vibrant business adaptability. An adaptive resilience of the regional economic model (ARREM) is suggested in this paper. That integrates key features of financing and vestiges the economic growth time-path as it recuperates with and without vibrant economic adaptability. The findings show that areas with technically integrated – rather than just diverse – knowledge sets are better suited to weather adversity and exhibit adaptive resiliency. Furthermore, even while businesses’ net entrance doesn’t contribute considerably to durability, the domestic economy is more flexible if they develop in industries with the best development prospects. The iterative simulation results of the ARREM are examined in terms of correlation and regression. An increase in the number of iterations is made from a lower level to a higher level by 10 iterations. Because of this, the proposed ARREM’s simulation results improve with increasing iteration size.
{"title":"Technical Convergence and the Adaptive Resilience of Regional Economies","authors":"Luoyi Jia","doi":"10.13052/spee1048-5236.42111","DOIUrl":"https://doi.org/10.13052/spee1048-5236.42111","url":null,"abstract":"This article investigates the impact of various regional technical profiles on local economies’ resistance to external shocks. It uses panel assessments of level information from 2015 to 2020 to conduct an empirical investigation of the causes of resilience. It begins by developing a calculable broad balance prototype that integrates key features of financing and the time-path of the financial system. Using a dynamic, calculable broad balance prototype recuperates with and without vibrant business adaptability. An adaptive resilience of the regional economic model (ARREM) is suggested in this paper. That integrates key features of financing and vestiges the economic growth time-path as it recuperates with and without vibrant economic adaptability. The findings show that areas with technically integrated – rather than just diverse – knowledge sets are better suited to weather adversity and exhibit adaptive resiliency. \u0000Furthermore, even while businesses’ net entrance doesn’t contribute considerably to durability, the domestic economy is more flexible if they develop in industries with the best development prospects. The iterative simulation results of the ARREM are examined in terms of correlation and regression. An increase in the number of iterations is made from a lower level to a higher level by 10 iterations. Because of this, the proposed ARREM’s simulation results improve with increasing iteration size.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45322849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-28DOI: 10.13052/spee1048-5236.42112
Qing Zhang
One of the numerous independent sensing devices in this sector, WSNs can monitor physical and environmental parameters and thousands of applications in other disciplines. A large environmental change has numerous harmful repercussions on human beings, such as air pollution. Using a cloud that communicates through wireless sensor networks (WSNs), environmental factors such as pollution can be monitored with greater precision. If cities are considered smart, they will have to address air pollution, a significant environmental problem in cities. It negatively impacts human health, discouraging individuals from relocating to cities, resulting in a lack of economic development. This means that WSN nodes could monitor the pollution levels in and around the city and along major thoroughfares. In this paper, wireless sensor network-based environmental pollution analysis (WSN-EPA) has been suggested to reduce air pollution in a smart city. WSN nodes have been installed to continuously monitor the city’s air quality levels and the movement of public transit vehicles. Passenger vehicles and public transit buses return to their original locations after passing through stationary nodes across the city with data on air pollution particles, such as gases, smoke, and other pollutants, collected by sensors onboard. Nodes on public transportation, buildings, and automobiles wirelessly gather data from stationary nodes. Once the nodes returned to the pollution monitoring system, the data would be processed. The findings show that the suggested system is a visually effective environmental monitoring system.
{"title":"Environment Pollution Analysis on Smart Cities Using Wireless Sensor Networks","authors":"Qing Zhang","doi":"10.13052/spee1048-5236.42112","DOIUrl":"https://doi.org/10.13052/spee1048-5236.42112","url":null,"abstract":"One of the numerous independent sensing devices in this sector, WSNs can monitor physical and environmental parameters and thousands of applications in other disciplines. A large environmental change has numerous harmful repercussions on human beings, such as air pollution. Using a cloud that communicates through wireless sensor networks (WSNs), environmental factors such as pollution can be monitored with greater precision. If cities are considered smart, they will have to address air pollution, a significant environmental problem in cities. It negatively impacts human health, discouraging individuals from relocating to cities, resulting in a lack of economic development. This means that WSN nodes could monitor the pollution levels in and around the city and along major thoroughfares. In this paper, wireless sensor network-based environmental pollution analysis (WSN-EPA) has been suggested to reduce air pollution in a smart city. WSN nodes have been installed to continuously monitor the city’s air quality levels and the movement of public transit vehicles. Passenger vehicles and public transit buses return to their original locations after passing through stationary nodes across the city with data on air pollution particles, such as gases, smoke, and other pollutants, collected by sensors onboard. Nodes on public transportation, buildings, and automobiles wirelessly gather data from stationary nodes. Once the nodes returned to the pollution monitoring system, the data would be processed. The findings show that the suggested system is a visually effective environmental monitoring system.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41901361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-28DOI: 10.13052/spee1048-5236.4217
J. Duan, Qiang Ren
This thesis takes the historical weather time series of Chongqing as experimental samples. Firstly, this thesis uses wavelet transform to organize the data, and then divides the sample data into training and test sets to verify the accuracy of the evaluation of the Naive Bayes Model. Secondly, the Naive Bayes Model is compared with currently used machine learning models such as SVM, XGBoost, bagging, and random forest. Finally, the results show that the Naive Bayes Model has high stability and accuracy for the air quality assessment of Chongqing, and it can be applied to the evaluation of urban ambient air quality.
{"title":"Air Quality Prediction Based on Wavelet Analysis and Machine Learning","authors":"J. Duan, Qiang Ren","doi":"10.13052/spee1048-5236.4217","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4217","url":null,"abstract":"This thesis takes the historical weather time series of Chongqing as experimental samples. Firstly, this thesis uses wavelet transform to organize the data, and then divides the sample data into training and test sets to verify the accuracy of the evaluation of the Naive Bayes Model. Secondly, the Naive Bayes Model is compared with currently used machine learning models such as SVM, XGBoost, bagging, and random forest. Finally, the results show that the Naive Bayes Model has high stability and accuracy for the air quality assessment of Chongqing, and it can be applied to the evaluation of urban ambient air quality.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47660977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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