Pub Date : 2022-04-04DOI: 10.13052/spee1048-5236.4122
Caihong Liu, Dingfu Jiang
Facing with the increasingly prominent global environmental protection problems, green teaching, as the basis of global sustainable development, has been advocated in China. Especially green experimental teaching have been carried out in most majors with outstanding environmental protection issues in China’s higher teaching. However, current literature shows that, except for the pollution-related experiment such as biochemistry and chemical engineering, other majors attach less importance to green experiment teaching, which is due to people’s insufficient cognition of generalized green experiment. To make full use of resources, deal with pollutants rationally, and improve green experimental effect, based on the universal requirements of green experimental teaching, for protecting the ecological environment of experimental teaching, research on the influencing factors and driving performance of green experiments in group collaboration is proposed. Firstly, through questionnaire survey, the influencing factors of group green cooperation experiment are analyzed. Secondly, its model is further established based on system dynamics. Finally, simulation on the model should be carried out by Vensim PLE software for the green experiment teaching. The findings suggest that, group is a better way to carry out green experiment effectively in colleges and universities. It should be emphasized that the key to popularize green experiment teaching in colleges and universities is to master the group green cooperation features and the green management ability of laboratory managers. In other words, the performance of group green collaborative experiments is mainly driven by the features of group green collaboration and the green teaching management capabilities of laboratory managers. Specially, we should be careful of the consistency between the collaboration characteristics of the experimental group and the green management ability, otherwise it is easy to conflict in the concept, specific operation and other aspects, resulting in inefficient green experiments. At the same time, the group’s green cooperation features are limited by its cooperation conditions and are subject to it. Moreover, we also need to identify that laboratory managers’ experimental organization capabilities are not equal to their green experimental management capabilities, too rigid experimental management is not conducive to play the performance driving role of green experimental management. The paper aims to provide some theoretical references for developing China’s higher green experimental teaching performance through green experimental management mechanisms.
{"title":"System Dynamics Based Modeling of Group Green Cooperation Experiment Teaching","authors":"Caihong Liu, Dingfu Jiang","doi":"10.13052/spee1048-5236.4122","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4122","url":null,"abstract":"Facing with the increasingly prominent global environmental protection problems, green teaching, as the basis of global sustainable development, has been advocated in China. Especially green experimental teaching have been carried out in most majors with outstanding environmental protection issues in China’s higher teaching. However, current literature shows that, except for the pollution-related experiment such as biochemistry and chemical engineering, other majors attach less importance to green experiment teaching, which is due to people’s insufficient cognition of generalized green experiment. To make full use of resources, deal with pollutants rationally, and improve green experimental effect, based on the universal requirements of green experimental teaching, for protecting the ecological environment of experimental teaching, research on the influencing factors and driving performance of green experiments in group collaboration is proposed. Firstly, through questionnaire survey, the influencing factors of group green cooperation experiment are analyzed. Secondly, its model is further established based on system dynamics. Finally, simulation on the model should be carried out by Vensim PLE software for the green experiment teaching. The findings suggest that, group is a better way to carry out green experiment effectively in colleges and universities. It should be emphasized that the key to popularize green experiment teaching in colleges and universities is to master the group green cooperation features and the green management ability of laboratory managers. In other words, the performance of group green collaborative experiments is mainly driven by the features of group green collaboration and the green teaching management capabilities of laboratory managers. Specially, we should be careful of the consistency between the collaboration characteristics of the experimental group and the green management ability, otherwise it is easy to conflict in the concept, specific operation and other aspects, resulting in inefficient green experiments. At the same time, the group’s green cooperation features are limited by its cooperation conditions and are subject to it. Moreover, we also need to identify that laboratory managers’ experimental organization capabilities are not equal to their green experimental management capabilities, too rigid experimental management is not conducive to play the performance driving role of green experimental management. The paper aims to provide some theoretical references for developing China’s higher green experimental teaching performance through green experimental management mechanisms.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42134880","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}
Water resources are the necessary guarantee to support the development of human society and one of the most important resources to maintain the health and stability of the ecological environment. With the gradual increase of China’s population and the gradual increase of water consumption for industry, life and agriculture, the water consumption for ecological environment can not be met. As a result, some rivers have dried up, biological habitat has been lost and species diversity has been reduced. Therefore, how to ensure the river ecological flow is a very urgent problem to be solved. This paper selects Yong’an River Basin as the research object. Yong’an river is a mountainous river with the characteristics of uneven distribution of natural runoff throughout the year and seasonal water shortage. At present, the ecological flow demand of the river has not been considered in the reservoir operation. In this paper, four different scheduling schemes are set up according to the two constraints of ecological base flow and target ecological flow. Finally, the reservoir group operation scheme with better water supply assurance rate and ecological flow assurance rate is determined.
{"title":"Study on Water Regulation of Yong’an River Basin Based on Ecological Flow Guarantee","authors":"Huifang Guo, Fangfang Yin, Haibo Ma, Chuan Tian, Shixia Zhang","doi":"10.13052/spee1048-5236.4123","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4123","url":null,"abstract":"Water resources are the necessary guarantee to support the development of human society and one of the most important resources to maintain the health and stability of the ecological environment. With the gradual increase of China’s population and the gradual increase of water consumption for industry, life and agriculture, the water consumption for ecological environment can not be met. As a result, some rivers have dried up, biological habitat has been lost and species diversity has been reduced. Therefore, how to ensure the river ecological flow is a very urgent problem to be solved. This paper selects Yong’an River Basin as the research object. Yong’an river is a mountainous river with the characteristics of uneven distribution of natural runoff throughout the year and seasonal water shortage. At present, the ecological flow demand of the river has not been considered in the reservoir operation. In this paper, four different scheduling schemes are set up according to the two constraints of ecological base flow and target ecological flow. Finally, the reservoir group operation scheme with better water supply assurance rate and ecological flow assurance rate is determined.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44672804","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 : 2022-04-04DOI: 10.13052/spee1048-5236.4121
Yong Jiang
To improve the saving level of water resources, and the optimal allocation model of water resources is constructed, and the chaotic particle swarm optimization is established to solve the optimal allocation model. Firstly, the relevant researches are summarized, and the main contributions of this research are given. Secondly, optimal allocation conception of water resources is discussed, and then the corresponding optimal allocation model is established. Thirdly, the chaotic particle swarm optimization model is established, and the analysis procedure of the proposed algorithm is designed. Finally, optimal allocation analysis of water resources is carried out, and optimal allocation plans of water resources are confirmed, results show that the proposed optimal model and its solving algorithm can effectively obtain the best effect.
{"title":"Research on Water Resources Saving Based on Chaotic Particle Swarm Optimization","authors":"Yong Jiang","doi":"10.13052/spee1048-5236.4121","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4121","url":null,"abstract":"To improve the saving level of water resources, and the optimal allocation model of water resources is constructed, and the chaotic particle swarm optimization is established to solve the optimal allocation model. Firstly, the relevant researches are summarized, and the main contributions of this research are given. Secondly, optimal allocation conception of water resources is discussed, and then the corresponding optimal allocation model is established. Thirdly, the chaotic particle swarm optimization model is established, and the analysis procedure of the proposed algorithm is designed. Finally, optimal allocation analysis of water resources is carried out, and optimal allocation plans of water resources are confirmed, results show that the proposed optimal model and its solving algorithm can effectively obtain the best effect.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43499513","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 : 2022-04-04DOI: 10.13052/spee1048-5236.4125
Susmita Shrestha, D. Poudel, T. W. Duex, Rodney B. Yantis
Changing climatic conditions affecting the physical environment, hydrology, forest and wildlife, agriculture, and other sectors of the economy has become a major concern worldwide. The Annapurna Range in the Central Himalayas in Nepal is experiencing impacts of climate change on various fronts, including temperature increase and change in snow cover area (SCA). The objectives of this study were to assess spatio-temporal variation in temperature, precipitation, and SCA in the Annapurna massif and establish a relationship between these variables. This study analyzed the daily maximum and minimum temperature and precipitation records of six weather stations in the region, and performed a long-term analysis (1990–2020) of snow cover over Annapurna massif analysing Satellite images from the past three decades provided by satellite 5 through 8 of the Landsat program and Geographic Information System (GIS) technology. The SCA was determined through Landsat images using the Normalized Difference Snow Index (NDSI). Temperature analysis showed that the northeast (Chame) and northwest (Jomsom) parts of the massif were undergoing a consistent increase in average temperature at the rate of 0.07 and 0.03∘∘C per year, respectively. A north-south gradient was observed in total annual precipitation with total precipitation increasing in Ghandruk and Ranipauwa (Muktinath) at 50 mm and 4.8 mm per year, respectively, and decreasing in Manang Bhot at 4.7 mm per year. The precipitation events increased during spring in the west (Lete), northwest (Jomsom), and south (Ghandruk) of the massif, whereas it decreased in the north (Manang Bhot) and northeast (Chame) for all seasons. The SCA varied from 397 km22 to 1735 km22 with a significantly decreasing trend in December. There was a non-significant SCA increase during March, indicating that more snow coverage could appear in the spring in the future. These results could help local communities, government agencies, tourism industries, and other stakeholders develop resource management plans and climate change adaptation strategies.
{"title":"Changing Climatic Conditions Affect Snow Cover in Annapurna Region of Nepal","authors":"Susmita Shrestha, D. Poudel, T. W. Duex, Rodney B. Yantis","doi":"10.13052/spee1048-5236.4125","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4125","url":null,"abstract":"Changing climatic conditions affecting the physical environment, hydrology, forest and wildlife, agriculture, and other sectors of the economy has become a major concern worldwide. The Annapurna Range in the Central Himalayas in Nepal is experiencing impacts of climate change on various fronts, including temperature increase and change in snow cover area (SCA). The objectives of this study were to assess spatio-temporal variation in temperature, precipitation, and SCA in the Annapurna massif and establish a relationship between these variables. This study analyzed the daily maximum and minimum temperature and precipitation records of six weather stations in the region, and performed a long-term analysis (1990–2020) of snow cover over Annapurna massif analysing Satellite images from the past three decades provided by satellite 5 through 8 of the Landsat program and Geographic Information System (GIS) technology. The SCA was determined through Landsat images using the Normalized Difference Snow Index (NDSI). Temperature analysis showed that the northeast (Chame) and northwest (Jomsom) parts of the massif were undergoing a consistent increase in average temperature at the rate of 0.07 and 0.03∘∘C per year, respectively. A north-south gradient was observed in total annual precipitation with total precipitation increasing in Ghandruk and Ranipauwa (Muktinath) at 50 mm and 4.8 mm per year, respectively, and decreasing in Manang Bhot at 4.7 mm per year. The precipitation events increased during spring in the west (Lete), northwest (Jomsom), and south (Ghandruk) of the massif, whereas it decreased in the north (Manang Bhot) and northeast (Chame) for all seasons. The SCA varied from 397 km22 to 1735 km22 with a significantly decreasing trend in December. There was a non-significant SCA increase during March, indicating that more snow coverage could appear in the spring in the future. These results could help local communities, government agencies, tourism industries, and other stakeholders develop resource management plans and climate change adaptation strategies.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42300963","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 : 2022-04-02DOI: 10.13052/spee1048-5236.4115
Khalil Aghapouramin
Tabriz, Iran possesses abundant renewable energy sources like wind and solar energy. Residential complexes in Tabriz consume significant amounts of electrical energy. Most of this electricity is generated by non-renewable energy resources, which results in significant air pollution. This research provides a techno-economic evaluation of hybrid Renewable Energy Systems (RES) for three residential complexes located in Tabriz. Each complex contains three optimum cases (overall nine cases). Proposed hybrid systems require the lowest NPC and COE. First, generators are removed from RES for all nine cases (100 percent RES). The structure of these cases were PV, Wind-PV, and wind with converter and battery. Secondly, due to the affordable price of diesel in this region, diesel generation is added to RES of all cases to explore more feasible and affordable optimized hybrid systems. The structure of these cases were Wind-Diesel-PV, Wind-PV, and Wind-Diesel, and Diesel-PV with converter and battery. Technical and economic assessment of optimized systems is performed by means of HOMER software. The main purpose of optimized systems is to meet the load demand. The electricity load of the study area has been obtained by means of electricity bills. Average load demand and peak load of complex one, two, and three were 7972, 3991, and 2960 kWh/d and 1122, 562, and 417 kW respectively. The goal of the current research is to explore the possible usage of the optimized hybrid RES by means of economic and technical parameters. In the optimized configurations with 100% Renewable Energy System, it was interpreted that PV with Wind is fully practicable. In addition, the COE for Battery-Wind-Diesel-PV HES arrangement is minimum for entire complexes. The optimized systems with 100% RESs remarkably reduces harmful emissions.
{"title":"Techno-Economic Assessment of Hybrid Renewable Energy Systems for Residential Complexes of Tabriz City, Iran","authors":"Khalil Aghapouramin","doi":"10.13052/spee1048-5236.4115","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4115","url":null,"abstract":"Tabriz, Iran possesses abundant renewable energy sources like wind and solar energy. Residential complexes in Tabriz consume significant amounts of electrical energy. Most of this electricity is generated by non-renewable energy resources, which results in significant air pollution. This research provides a techno-economic evaluation of hybrid Renewable Energy Systems (RES) for three residential complexes located in Tabriz. Each complex contains three optimum cases (overall nine cases). Proposed hybrid systems require the lowest NPC and COE. First, generators are removed from RES for all nine cases (100 percent RES). The structure of these cases were PV, Wind-PV, and wind with converter and battery. Secondly, due to the affordable price of diesel in this region, diesel generation is added to RES of all cases to explore more feasible and affordable optimized hybrid systems. The structure of these cases were Wind-Diesel-PV, Wind-PV, and Wind-Diesel, and Diesel-PV with converter and battery. Technical and economic assessment of optimized systems is performed by means of HOMER software. The main purpose of optimized systems is to meet the load demand. The electricity load of the study area has been obtained by means of electricity bills. Average load demand and peak load of complex one, two, and three were 7972, 3991, and 2960 kWh/d and 1122, 562, and 417 kW respectively. The goal of the current research is to explore the possible usage of the optimized hybrid RES by means of economic and technical parameters. In the optimized configurations with 100% Renewable Energy System, it was interpreted that PV with Wind is fully practicable. In addition, the COE for Battery-Wind-Diesel-PV HES arrangement is minimum for entire complexes. The optimized systems with 100% RESs remarkably reduces harmful emissions.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44773207","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 : 2022-04-02DOI: 10.13052/spee1048-5236.4111
B. Pariyar, Bishnu Rijal, J. Lovett, Rozy Bisunke, K. Shrestha
Access to affordable, reliable and modern energy services is the primary aim of Sustainable Development Goal 7 and underpins other SDGs for improving health and welfare. In keeping with the SDG objectives, national governments and development agencies have been advocating reduction of households’ dependency on traditional sources of energy and encourage the transition to clean energy. Whilst policy interventions for this have had some success, a large proportion of households, especially in the rural areas of developing countries still continue to face energy shortages and lack of access to clean energy continues to be a major developmental challenge. This study investigates the energy use of 295 rural households in three rural villages in central Nepal. Results demonstrate that households continue to depend on traditional sources of energy with limited access to clean energy. Furthermore, access to clean energy amongst households in rural Nepal is determined by households and community socio-economic status. The paper argues that much more needs to be done to enhance households’ access to clean energy and reduce their dependency on traditional sources of energy and the distributional implications of such measures need to be properly considered.
{"title":"Household Characteristics and Energy Provision of Rural Households in Central Nepal","authors":"B. Pariyar, Bishnu Rijal, J. Lovett, Rozy Bisunke, K. Shrestha","doi":"10.13052/spee1048-5236.4111","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4111","url":null,"abstract":"Access to affordable, reliable and modern energy services is the primary aim of Sustainable Development Goal 7 and underpins other SDGs for improving health and welfare. In keeping with the SDG objectives, national governments and development agencies have been advocating reduction of households’ dependency on traditional sources of energy and encourage the transition to clean energy. Whilst policy interventions for this have had some success, a large proportion of households, especially in the rural areas of developing countries still continue to face energy shortages and lack of access to clean energy continues to be a major developmental challenge. This study investigates the energy use of 295 rural households in three rural villages in central Nepal. Results demonstrate that households continue to depend on traditional sources of energy with limited access to clean energy. Furthermore, access to clean energy amongst households in rural Nepal is determined by households and community socio-economic status. The paper argues that much more needs to be done to enhance households’ access to clean energy and reduce their dependency on traditional sources of energy and the distributional implications of such measures need to be properly considered.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43261963","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 : 2022-04-02DOI: 10.13052/spee1048-5236.4113
Jing Wang
Nowadays, a Smart city design brings smart buildings and structures and environmental using BIM. The performance and evaluation of the model are experimentally sustainability. Building Information Modeling (BIM) performance describes how to measure a construction project or entity’s capability and maturity in terms of development, utilization, and assessment. Energy fluctuation remains a barrier in such development and utilization. In this paper, an Optimized Mathematical Model for Energy Management (OMMEM) has been proposed to assess energy utilization in the construction management of smart cities analyzed by determining building information and distribution systems to the OMMEM performance analysis model. A collection of parameters and variables important for planning and prediction concerning the energy management of construction is acquired to model a smart infrastructure in a smart city. The findings revealed that the mathematical model provides a new method of evaluating the potential of the BIM application towards energy management in smart building construction of smart cities with high accuracy, performance with low delay and error rate.
{"title":"Optimized Mathematical Model for Energy Efficient Construction Management in Smart Cities Using Building Information Modeling","authors":"Jing Wang","doi":"10.13052/spee1048-5236.4113","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4113","url":null,"abstract":"Nowadays, a Smart city design brings smart buildings and structures and environmental using BIM. The performance and evaluation of the model are experimentally sustainability. Building Information Modeling (BIM) performance describes how to measure a construction project or entity’s capability and maturity in terms of development, utilization, and assessment. Energy fluctuation remains a barrier in such development and utilization. In this paper, an Optimized Mathematical Model for Energy Management (OMMEM) has been proposed to assess energy utilization in the construction management of smart cities analyzed by determining building information and distribution systems to the OMMEM performance analysis model. A collection of parameters and variables important for planning and prediction concerning the energy management of construction is acquired to model a smart infrastructure in a smart city. The findings revealed that the mathematical model provides a new method of evaluating the potential of the BIM application towards energy management in smart building construction of smart cities with high accuracy, performance with low delay and error rate.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48647986","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 : 2022-04-02DOI: 10.13052/spee1048-5236.4114
Yushan Zhou, Yunzhang Li, Jie Yang, Heng Li
Linpan is a typical rural settlement and cultural landscape in the western Sichuan Plain. The protection of Linpan has positive and significant impacts on the people, who live in the Linpan that is in the process of post-disaster reconstruction, to re-establish their sense of belonging. By studying the core elements and pattern characteristics of traditional Lipan, we established an evaluation model for Linpan landscape overall protection. The post-disaster reconstruction is disaster has already occurred, and the government has been involved in reuse activities. Reconstruction and sustainable recovery refer to measures that help restore the livelihoods, assets, and production levels of emergency-affected communities. The model was used to assess 12 post-disaster reconstructions of Linpan settlements with an aim to obtain an effective model of holistic protection. The AHP method understands the structure of the problem and real hindrances that managers the while solving it. Holistic protection is an approach that seeks to incorporate all the components designed to be precautionary in an organization. the aim of the article is the post-disaster reconstruction mode that fully retains the traditional Linpan pattern and elements that are more beneficial to the continuation of regional culture.
{"title":"Study on the Evaluation Model of the Overall Post-Disaster Protection of the Linpan Settlement Landscape","authors":"Yushan Zhou, Yunzhang Li, Jie Yang, Heng Li","doi":"10.13052/spee1048-5236.4114","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4114","url":null,"abstract":"Linpan is a typical rural settlement and cultural landscape in the western Sichuan Plain. The protection of Linpan has positive and significant impacts on the people, who live in the Linpan that is in the process of post-disaster reconstruction, to re-establish their sense of belonging. By studying the core elements and pattern characteristics of traditional Lipan, we established an evaluation model for Linpan landscape overall protection. The post-disaster reconstruction is disaster has already occurred, and the government has been involved in reuse activities. Reconstruction and sustainable recovery refer to measures that help restore the livelihoods, assets, and production levels of emergency-affected communities. The model was used to assess 12 post-disaster reconstructions of Linpan settlements with an aim to obtain an effective model of holistic protection. The AHP method understands the structure of the problem and real hindrances that managers the while solving it. Holistic protection is an approach that seeks to incorporate all the components designed to be precautionary in an organization. the aim of the article is the post-disaster reconstruction mode that fully retains the traditional Linpan pattern and elements that are more beneficial to the continuation of regional culture.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43875544","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 : 2022-04-02DOI: 10.13052/spee1048-5236.4112
Q. Jin, Zhan Liu
To solve the problem of the long execution time of the traditional thermal energy feedback regulation mechanism of human life system, a method of analyzing the thermal energy feedback regulation mechanism of human life system based on photonic radiation was proposed. The energy response entropy of human living system is calculated by analyzing the change of human living system’s thermal energy. The photonic counter is designed by using photonic radiation technology to extract the weak optical signal of thermal energy of the system and output energy accumulation. The quadratic programming algorithm is used to solve the optimal solution of thermal energy, and the neural network model is combined with the energy accumulation of photon counter to realize the thermal feedback regulation. So far, the design of energy feedback regulation mechanism of human living system has been completed. The experimental results show that compared with the traditional feedback control mechanism, the designed energy feedback control mechanism based on photonic radiation has a shorter implementation time and is suitable for practical engineering.
{"title":"Thermal Energy Feedback Regulation of Human Life System Based on Photon Radiation","authors":"Q. Jin, Zhan Liu","doi":"10.13052/spee1048-5236.4112","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4112","url":null,"abstract":"To solve the problem of the long execution time of the traditional thermal energy feedback regulation mechanism of human life system, a method of analyzing the thermal energy feedback regulation mechanism of human life system based on photonic radiation was proposed. The energy response entropy of human living system is calculated by analyzing the change of human living system’s thermal energy. The photonic counter is designed by using photonic radiation technology to extract the weak optical signal of thermal energy of the system and output energy accumulation. The quadratic programming algorithm is used to solve the optimal solution of thermal energy, and the neural network model is combined with the energy accumulation of photon counter to realize the thermal feedback regulation. So far, the design of energy feedback regulation mechanism of human living system has been completed. The experimental results show that compared with the traditional feedback control mechanism, the designed energy feedback control mechanism based on photonic radiation has a shorter implementation time and is suitable for practical engineering.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41900592","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 : 2022-02-04DOI: 10.13052/spee1048-5236.4045
Yanping Zhou
Hydrogen energy has a series of advantages, such as high energy density, high utilization efficiency, good storage and transportation performance, zero pollution to the environment and so on. Hydrogen energy has a series of advantages, such as high energy density, high utilization efficiency, good storage and transportation performance, zero pollution to the environment and so on. With the help of renewable solar energy to provide heat, this hydrogen production process is expected to truly realize the sustainable development of energy. Its research has important strategic significance and social value. Firstly, the progress on hydrogen energy production based on solar biomass is summarized. Secondly, the consumption mechanism of hydrogen production from biomass driven by solar energy is analyzed. Thirdly, the preparation of Fe-Ce catalyst is designed. Finally, the hydrogen production effect based on different catalysts is analyzed, results show that Fe-Ce catalyst can effectively improve the quality of hydrogen production based on solar biomass.
{"title":"Study on Hydrogen Production From Solar Biomass Based on Fe-Ce Catalyst","authors":"Yanping Zhou","doi":"10.13052/spee1048-5236.4045","DOIUrl":"https://doi.org/10.13052/spee1048-5236.4045","url":null,"abstract":"Hydrogen energy has a series of advantages, such as high energy density, high utilization efficiency, good storage and transportation performance, zero pollution to the environment and so on. Hydrogen energy has a series of advantages, such as high energy density, high utilization efficiency, good storage and transportation performance, zero pollution to the environment and so on. With the help of renewable solar energy to provide heat, this hydrogen production process is expected to truly realize the sustainable development of energy. Its research has important strategic significance and social value. Firstly, the progress on hydrogen energy production based on solar biomass is summarized. Secondly, the consumption mechanism of hydrogen production from biomass driven by solar energy is analyzed. Thirdly, the preparation of Fe-Ce catalyst is designed. Finally, the hydrogen production effect based on different catalysts is analyzed, results show that Fe-Ce catalyst can effectively improve the quality of hydrogen production based on solar biomass.","PeriodicalId":35712,"journal":{"name":"Strategic Planning for Energy and the Environment","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48063441","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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