Junxian Li, Cunqiang Huang, Xiangcheng Zhang, Xu Tian, Juan An
Abstract In pursuit of low-carbon life, renewable energy is widely used, accelerating the development of lithium-ion batteries. Battery equalization is a crucial technology for lithium-ion batteries, and a simple and reliable voltage-equalization control strategy is widely used because the battery terminal voltage is very easy to obtain. But when the battery voltage is used to determine whether the battery needs to end equalization, it often does not reflect the state of charge well, resulting in battery management system misjudgment, which makes it unable to achieve a better equalization effect. In this paper, we propose a high-performance equalization control strategy based on the equalization data of the general equalization strategy, which turns on the equalization again after the equalization is completed and uses the equalization time instead of the battery voltage as the indicator. In this paper, we analyse and test this principle in detail. The difference between the final voltage of the equalized battery and the target voltage is only 4 versus 3 mV, which is an extreme advantage compared with the error of 18 versus 24 mV of the general equalization strategy, and it adds almost no workload, which makes it a good prospect for application.
为了追求低碳生活，可再生能源的广泛应用，加速了锂离子电池的发展。电池均衡是锂离子电池的一项关键技术，由于电池端电压易于获取，一种简单可靠的电压均衡控制策略被广泛采用。但在用电池电压来判断电池是否需要端均时，往往不能很好地反映充电状态，造成电池管理系统误判，使其无法达到较好的均化效果。本文提出了一种基于一般均衡策略的均衡数据的高性能均衡控制策略，该策略在均衡完成后重新开启均衡，并以均衡时间代替电池电压作为指标。本文对这一原理进行了详细的分析和测试。均衡电池的最终电压与目标电压的差值仅为4 vs 3 mV，与一般均衡策略的误差18 vs 24 mV相比，具有极大的优势，并且几乎不增加工作量，具有良好的应用前景。
{"title":"High-performance lithium-ion battery equalization strategy for energy storage system","authors":"Junxian Li, Cunqiang Huang, Xiangcheng Zhang, Xu Tian, Juan An","doi":"10.1093/ijlct/ctad068","DOIUrl":"https://doi.org/10.1093/ijlct/ctad068","url":null,"abstract":"Abstract In pursuit of low-carbon life, renewable energy is widely used, accelerating the development of lithium-ion batteries. Battery equalization is a crucial technology for lithium-ion batteries, and a simple and reliable voltage-equalization control strategy is widely used because the battery terminal voltage is very easy to obtain. But when the battery voltage is used to determine whether the battery needs to end equalization, it often does not reflect the state of charge well, resulting in battery management system misjudgment, which makes it unable to achieve a better equalization effect. In this paper, we propose a high-performance equalization control strategy based on the equalization data of the general equalization strategy, which turns on the equalization again after the equalization is completed and uses the equalization time instead of the battery voltage as the indicator. In this paper, we analyse and test this principle in detail. The difference between the final voltage of the equalized battery and the target voltage is only 4 versus 3 mV, which is an extreme advantage compared with the error of 18 versus 24 mV of the general equalization strategy, and it adds almost no workload, which makes it a good prospect for application.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135003627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pricing carbon emission rights and other financial assets using the soliton theory is a pioneering attempt. In this study, we investigated the pricing of carbon emission rights according to the basic attributes of solitons, whose amplitude and velocity remain unchanged after a collision. First, we showed that the price fluctuation in the sequence of carbon emission rights possesses the characteristics of a soliton, such as non-dispersion while spreading and being stable after a collision. With a variation in the time scale, the waveform and velocity of the carbon price movement did not change with its translation in the same direction. Second, we demonstrated that the carbon soliton equation passes the $Painlevacute{e}$ test for integrability. Moreover, at the resonance point, there exists an arbitrary function ${u}_j(t)$ of $t$ in which the compatibility condition always holds. This indicates the existence of soliton solutions to the carbon soliton equation. Third, the exact solutions of single-soliton, two-soliton and three-soliton equations were obtained by using a nonlinear evolution equation constructed with a bilinear method. In the three soliton solutions, only the single-soliton solution is the central value of the carbon emission rights and its theoretical value is 13 Euro/tCO2e.
{"title":"Bilinear Integrable soliton solutions and carbon emission rights pricing","authors":"Xing Yang, Jun-long Mi, Yue Zeng, Wen-bo Wei","doi":"10.1093/ijlct/ctac120","DOIUrl":"https://doi.org/10.1093/ijlct/ctac120","url":null,"abstract":"Pricing carbon emission rights and other financial assets using the soliton theory is a pioneering attempt. In this study, we investigated the pricing of carbon emission rights according to the basic attributes of solitons, whose amplitude and velocity remain unchanged after a collision. First, we showed that the price fluctuation in the sequence of carbon emission rights possesses the characteristics of a soliton, such as non-dispersion while spreading and being stable after a collision. With a variation in the time scale, the waveform and velocity of the carbon price movement did not change with its translation in the same direction. Second, we demonstrated that the carbon soliton equation passes the $Painlevacute{e}$ test for integrability. Moreover, at the resonance point, there exists an arbitrary function ${u}_j(t)$ of $t$ in which the compatibility condition always holds. This indicates the existence of soliton solutions to the carbon soliton equation. Third, the exact solutions of single-soliton, two-soliton and three-soliton equations were obtained by using a nonlinear evolution equation constructed with a bilinear method. In the three soliton solutions, only the single-soliton solution is the central value of the carbon emission rights and its theoretical value is 13 Euro/tCO2e.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60776480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents a novel schematic diagram of a multi-functional air-conditioner (NMFAC) with four operating modes to enhance energy efficiency and increase equipment utilization. A prototype was designed to test the performances according to Chinese condition standards. The results indicated that the NMFAC could run reliably all year round. In summer and winter, the space cooling and heating capacity were in normal ranges, with an average space cooling performance (COPsc) and heating performance (COPsh) of 2.73 and 3.58, respectively. In the water-heating only mode in season and out of season, the mean water heating performance (COPwh) varied from 2.97 to 4.2 under typical conditions as hot water was heated from 15 °C to 55 °C. In condensing heat recovery mode, the average COPwh and COPsc were 4.54 and 4.30, respectively, and the overall performance (COPcw) was up to 8.84.
{"title":"Experimental investigations on the thermal characteristics of a multi-functional air-conditioner","authors":"Fu Qiu, Juanli Du, Taoping Xu","doi":"10.1093/ijlct/ctac132","DOIUrl":"https://doi.org/10.1093/ijlct/ctac132","url":null,"abstract":"This paper presents a novel schematic diagram of a multi-functional air-conditioner (NMFAC) with four operating modes to enhance energy efficiency and increase equipment utilization. A prototype was designed to test the performances according to Chinese condition standards. The results indicated that the NMFAC could run reliably all year round. In summer and winter, the space cooling and heating capacity were in normal ranges, with an average space cooling performance (COPsc) and heating performance (COPsh) of 2.73 and 3.58, respectively. In the water-heating only mode in season and out of season, the mean water heating performance (COPwh) varied from 2.97 to 4.2 under typical conditions as hot water was heated from 15 °C to 55 °C. In condensing heat recovery mode, the average COPwh and COPsc were 4.54 and 4.30, respectively, and the overall performance (COPcw) was up to 8.84.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60776918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to comprehensively monitor the daily consumption of photovoltaic power and power generation of photovoltaic microgrid, a daily consumption monitoring method of photovoltaic microgrid based on genetic wavelet neural network is proposed to reduce the relative error of daily consumption monitoring. Considering the power generation forms of various units such as wind power, thermal power, hydropower and photovoltaic power generation, the upper and lower limits of daily consumption of different units and the constraints of consumption calculation are analyzed to obtain the daily consumption of photovoltaic microgrid. On this basis, the daily consumption monitoring model of photovoltaic microgrid including multiple inputs and outputs is constructed by using Morlet wavelet function, and the power generation is calculated by wavelet neural network. The genetic algorithm is used to optimize the individual fitness of wavelet neural network through the training of the number of wavelet bases and related thresholds and weights, and to normalize the optimal individual fitness to realize the daily consumption monitoring of photovoltaic microgrid. The experiment shows that this method can monitor the actual photovoltaic power in sunny weather, and after 12 o’clock, the photovoltaic power gradually drops below 30 kW. In cloudy weather, the actual photovoltaic power reaches its peak at around 12 o’clock, ~45–50 kW, and drops to about 10 kW at 17 o’clock. And the power generation in cloudy days is relatively low, and the power generation in rainy days is the lowest. When the relative humidity is 30%, the power generation increases rapidly and keeps at 8 kWh. When the relative humidity is 50%, the power generation gradually drops to 2 kWh. When the temperature is 20°C, the maximum radiation intensity is about 0.6 kW m2. When the temperature is 30°C, the maximum radiation intensity is greater than 0.8 kW m2. At 11:00 and 12:00, the power generation error is 0.02 kWh. In order to improve the monitoring accuracy of photovoltaic power and daily power generation of photovoltaic microgrid in different environments.
{"title":"Daily consumption monitoring method of photovoltaic microgrid based on genetic wavelet neural network","authors":"ShuMing Wang, Xiaohui Yuan, Qian Huang, Anqing Chen, Hanbin Ma, Xiang Xu","doi":"10.1093/ijlct/ctac141","DOIUrl":"https://doi.org/10.1093/ijlct/ctac141","url":null,"abstract":"In order to comprehensively monitor the daily consumption of photovoltaic power and power generation of photovoltaic microgrid, a daily consumption monitoring method of photovoltaic microgrid based on genetic wavelet neural network is proposed to reduce the relative error of daily consumption monitoring. Considering the power generation forms of various units such as wind power, thermal power, hydropower and photovoltaic power generation, the upper and lower limits of daily consumption of different units and the constraints of consumption calculation are analyzed to obtain the daily consumption of photovoltaic microgrid. On this basis, the daily consumption monitoring model of photovoltaic microgrid including multiple inputs and outputs is constructed by using Morlet wavelet function, and the power generation is calculated by wavelet neural network. The genetic algorithm is used to optimize the individual fitness of wavelet neural network through the training of the number of wavelet bases and related thresholds and weights, and to normalize the optimal individual fitness to realize the daily consumption monitoring of photovoltaic microgrid. The experiment shows that this method can monitor the actual photovoltaic power in sunny weather, and after 12 o’clock, the photovoltaic power gradually drops below 30 kW. In cloudy weather, the actual photovoltaic power reaches its peak at around 12 o’clock, ~45–50 kW, and drops to about 10 kW at 17 o’clock. And the power generation in cloudy days is relatively low, and the power generation in rainy days is the lowest. When the relative humidity is 30%, the power generation increases rapidly and keeps at 8 kWh. When the relative humidity is 50%, the power generation gradually drops to 2 kWh. When the temperature is 20°C, the maximum radiation intensity is about 0.6 kW m2. When the temperature is 30°C, the maximum radiation intensity is greater than 0.8 kW m2. At 11:00 and 12:00, the power generation error is 0.02 kWh. In order to improve the monitoring accuracy of photovoltaic power and daily power generation of photovoltaic microgrid in different environments.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60777042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Prabhakar Sharma, P. Paramasivam, B. J. Bora, Vijayakumar Sivasundar
Diesel engines that predominantly run on fossil-based diesel fuel emit harmful emissions. Biofuels such as biogas and biodiesel are potential alternatives. However, many biofuels have poor heating values and supply inconsistencies. The use of nanoparticles (NPs) offers an appealing alternative for enhancing the combustion and emission reduction. This study aimed to improve the emission performance of biodiesel produced from waste cooking oil biodiesel (WCOB) by adding titanium oxide (TiO2) NPs. Tests were conducted in the diesel-powered engine at varying load levels using fuel mixtures of B1 (100% diesel), B2 (80% diesel + 20% WCOB) and B3 (80% diesel + 20% WCOB with the addition of 200 mg/l TiO2 NPs). In comparison with the diesel mode, the average reduction in carbon monoxide emissions was 8.92% for the B2 blend and 25% for the TiO2 NP-based B3 blend. For the B2 blend and TiO2-based B3 blend, the mean reduction in hydrocarbon emissions was 5.6 and 16.6%, respectively, when compared with diesel mode. When comparing B3 blends with B2 blends, the average reduction in nitrogen oxide emissions was 3.75%. In conclusion, adding NPs to engine fuel is a viable solution for reducing emissions.
{"title":"Application of nanomaterials for emission reduction from diesel engines powered with waste cooking oil biodiesel","authors":"Prabhakar Sharma, P. Paramasivam, B. J. Bora, Vijayakumar Sivasundar","doi":"10.1093/ijlct/ctad060","DOIUrl":"https://doi.org/10.1093/ijlct/ctad060","url":null,"abstract":"Diesel engines that predominantly run on fossil-based diesel fuel emit harmful emissions. Biofuels such as biogas and biodiesel are potential alternatives. However, many biofuels have poor heating values and supply inconsistencies. The use of nanoparticles (NPs) offers an appealing alternative for enhancing the combustion and emission reduction. This study aimed to improve the emission performance of biodiesel produced from waste cooking oil biodiesel (WCOB) by adding titanium oxide (TiO2) NPs. Tests were conducted in the diesel-powered engine at varying load levels using fuel mixtures of B1 (100% diesel), B2 (80% diesel + 20% WCOB) and B3 (80% diesel + 20% WCOB with the addition of 200 mg/l TiO2 NPs). In comparison with the diesel mode, the average reduction in carbon monoxide emissions was 8.92% for the B2 blend and 25% for the TiO2 NP-based B3 blend. For the B2 blend and TiO2-based B3 blend, the mean reduction in hydrocarbon emissions was 5.6 and 16.6%, respectively, when compared with diesel mode. When comparing B3 blends with B2 blends, the average reduction in nitrogen oxide emissions was 3.75%. In conclusion, adding NPs to engine fuel is a viable solution for reducing emissions.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60777343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiran Wang, Ke Sun, Xuan Yang, Kai Yang, Jiaxi Chen
The energy dispatching and distribution ability is improved by optimizing the configuration of hybrid energy storage capacity of multi-energy system in low-carbon background, and an optimal configuration method of hybrid energy storage capacity of multi-energy system in low-carbon background based on equilibrium control and dynamic optimization algorithm is proposed. The data structure model of hybrid energy storage capacity distribution of multi-energy system is constructed. Under the condition that the energy storage optimal allocation model based on cost analysis meets the system performance index, the energy storage optimal allocation model is established with the objective function of minimizing the cost of configuring energy storage system, and with the objective of minimizing the fluctuation of active power of distributed power sources, such as wind and light. Taking the penalty cost of wind energy storage combined output power exceeding the fluctuation limit as the objective function, low-pass filtering method is adopted to stabilize the fluctuation of new energy power, and the optimal configuration capacity of energy storage system is determined according to the allowable frequency deviation and voltage stability of the system. Balanced control and dynamic optimization algorithm are adopted to realize the optimal configuration of hybrid energy storage capacity of multi-energy system under low-carbon background by combining different wind and solar energy combinations, different sampling intervals and different number of power stations. The simulation results show that the hybrid energy storage capacity allocation of multi-energy system has strong adaptability and high environmental adaptability, which effectively improves the transient stability of power grid system and further promotes the safe and stable operation of power grid system.
{"title":"Optimal allocation method of hybrid energy storage capacity of multi-energy system under low-carbon background","authors":"Xiran Wang, Ke Sun, Xuan Yang, Kai Yang, Jiaxi Chen","doi":"10.1093/ijlct/ctad070","DOIUrl":"https://doi.org/10.1093/ijlct/ctad070","url":null,"abstract":"The energy dispatching and distribution ability is improved by optimizing the configuration of hybrid energy storage capacity of multi-energy system in low-carbon background, and an optimal configuration method of hybrid energy storage capacity of multi-energy system in low-carbon background based on equilibrium control and dynamic optimization algorithm is proposed. The data structure model of hybrid energy storage capacity distribution of multi-energy system is constructed. Under the condition that the energy storage optimal allocation model based on cost analysis meets the system performance index, the energy storage optimal allocation model is established with the objective function of minimizing the cost of configuring energy storage system, and with the objective of minimizing the fluctuation of active power of distributed power sources, such as wind and light. Taking the penalty cost of wind energy storage combined output power exceeding the fluctuation limit as the objective function, low-pass filtering method is adopted to stabilize the fluctuation of new energy power, and the optimal configuration capacity of energy storage system is determined according to the allowable frequency deviation and voltage stability of the system. Balanced control and dynamic optimization algorithm are adopted to realize the optimal configuration of hybrid energy storage capacity of multi-energy system under low-carbon background by combining different wind and solar energy combinations, different sampling intervals and different number of power stations. The simulation results show that the hybrid energy storage capacity allocation of multi-energy system has strong adaptability and high environmental adaptability, which effectively improves the transient stability of power grid system and further promotes the safe and stable operation of power grid system.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60778083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Renewable energy use in agricultural applications is essential for sustainable production. Resorption cooling systems can be operated for agricultural cooling applications by using thermal energy derived from geothermal springs with sufficient temperature. Since the resorption cycle uses ammonia-water solution, cold storage and industrial cooling processes below 0°C can be actualized efficiently. In this article, a geothermal powered resorption system for cold storage of apple fruit is investigated. Technical features and cooling performance of the resorption system are analysed and compared to the other conventional cooling systems. Results showed that, geothermal powered resorption cooling systems can annually cover the cooling load of the cold storage application with adequate cooling temperature and capacity. Moreover, the use of the geothermal powered resorption system enables to set up safer and more economic cooling applications with the similar cooling performance compared with the alternative sorption cooling systems, and provides substantial economic benefits by reducing the cooling costs in agricultural production with lower operational costs.
{"title":"Performance analysis of a geothermal heat-powered resorption cooling system: a case study for cold storage of apple fruit","authors":"Bilsay Pastakkaya","doi":"10.1093/ijlct/ctad061","DOIUrl":"https://doi.org/10.1093/ijlct/ctad061","url":null,"abstract":"Abstract Renewable energy use in agricultural applications is essential for sustainable production. Resorption cooling systems can be operated for agricultural cooling applications by using thermal energy derived from geothermal springs with sufficient temperature. Since the resorption cycle uses ammonia-water solution, cold storage and industrial cooling processes below 0°C can be actualized efficiently. In this article, a geothermal powered resorption system for cold storage of apple fruit is investigated. Technical features and cooling performance of the resorption system are analysed and compared to the other conventional cooling systems. Results showed that, geothermal powered resorption cooling systems can annually cover the cooling load of the cold storage application with adequate cooling temperature and capacity. Moreover, the use of the geothermal powered resorption system enables to set up safer and more economic cooling applications with the similar cooling performance compared with the alternative sorption cooling systems, and provides substantial economic benefits by reducing the cooling costs in agricultural production with lower operational costs.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135893785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lufeng Nie, Xiang Ji, Heng Liu, Huanhuan Fang, Xinyu Liu, Mengchen Yang
Abstract This paper studies the shape design strategy of underground atriums in cold regions based on climate adaptability. From the perspective of climate adaptability, by controlling the shape design parameters of the atrium, and taking the light and thermal performance of the underground atrium as the optimization goal, the light and heat performance simulation and multi-objective optimization are constructed. Method, analyzing the effect relationship of various shape parameters on the light and heat environment and exploring the shape scheme of the underground atrium suitable for cold regions. And it is hoped that architects can take into account the quality of the light and heat environment of the underground atrium in architectural design and use space adjustment to improve the awareness of the quality of the light and heat environment of the underground atrium. The simulation results show that the annual PMV thermal comfort time percentage is 20.47%, the heat radiation difference RAD in summer and winter is 21.17 kw∙w/m2, and the average percentage of natural lighting is 67.41%.
{"title":"Optimization of thermal and light in underground atrium commercial spaces: a case study in Xuzhou, China","authors":"Lufeng Nie, Xiang Ji, Heng Liu, Huanhuan Fang, Xinyu Liu, Mengchen Yang","doi":"10.1093/ijlct/ctad105","DOIUrl":"https://doi.org/10.1093/ijlct/ctad105","url":null,"abstract":"Abstract This paper studies the shape design strategy of underground atriums in cold regions based on climate adaptability. From the perspective of climate adaptability, by controlling the shape design parameters of the atrium, and taking the light and thermal performance of the underground atrium as the optimization goal, the light and heat performance simulation and multi-objective optimization are constructed. Method, analyzing the effect relationship of various shape parameters on the light and heat environment and exploring the shape scheme of the underground atrium suitable for cold regions. And it is hoped that architects can take into account the quality of the light and heat environment of the underground atrium in architectural design and use space adjustment to improve the awareness of the quality of the light and heat environment of the underground atrium. The simulation results show that the annual PMV thermal comfort time percentage is 20.47%, the heat radiation difference RAD in summer and winter is 21.17 kw∙w/m2, and the average percentage of natural lighting is 67.41%.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136307500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to realize the dynamic analysis of regional soil moisture content in the upper reaches of Xiashan Reservoir in Weihe River Basin, Weifang City, Shandong Province, a regional soil moisture dynamic analysis model based on hyperspectral remote sensing technology is proposed. The process of predicting and deducing the soil water content through the spectral information of remote sensing images, surface parameters and other data can reflect the soil spectral information. The band sensitive to the change of soil moisture in remote sensing image is directly extracted, which is used as the independent variable input in the soil water logging inversion model, and the process of soil moisture prediction is conducted with the measured soil moisture value as the dependent variable input. The SI-1, SI-2 and other water spectral indexes that can reflect the water information are constructed, and the water spectral index used for soil water content retrieval is constructed through various relationships between bands. Compared with the spectral reflectance alone, the use of water spectral index greatly improves the retrieval accuracy. The particle filter algorithm is used to assimilate the observed data and simulated data to obtain the assimilated soil moisture. Error evaluation indicators are used to evaluate the accuracy of the obtained assimilation results and further use different particle numbers and observation errors to conduct multiple data assimilation experiments to explore the sensitivity of particle numbers and observation errors to the assimilation results. The root mean square error (RMSE), relative error (RE) and mean absolute error (MAE) are used to test and verify the effect of data assimilation. The test shows that the dynamic analysis of the regional soil moisture content in the upper reaches of Xiashan Reservoir in the Fangwei River basin by using this method the distribution map obtained by dividing the vegetation coverage are more consistent with the actual situation in terms of the proportion of different soil water salinization degrees, the regional distribution of water, etc. The idea of using hyperspectral remote sensing to retrieve soil moisture is effective.
{"title":"Research on regional soil moisture dynamics based on hyperspectral remote sensing technology","authors":"Zhiqian Guo, X. Li, Yushui Ren, Shujun Qian, Yirui Shao","doi":"10.1093/ijlct/ctad051","DOIUrl":"https://doi.org/10.1093/ijlct/ctad051","url":null,"abstract":"In order to realize the dynamic analysis of regional soil moisture content in the upper reaches of Xiashan Reservoir in Weihe River Basin, Weifang City, Shandong Province, a regional soil moisture dynamic analysis model based on hyperspectral remote sensing technology is proposed. The process of predicting and deducing the soil water content through the spectral information of remote sensing images, surface parameters and other data can reflect the soil spectral information. The band sensitive to the change of soil moisture in remote sensing image is directly extracted, which is used as the independent variable input in the soil water logging inversion model, and the process of soil moisture prediction is conducted with the measured soil moisture value as the dependent variable input. The SI-1, SI-2 and other water spectral indexes that can reflect the water information are constructed, and the water spectral index used for soil water content retrieval is constructed through various relationships between bands. Compared with the spectral reflectance alone, the use of water spectral index greatly improves the retrieval accuracy. The particle filter algorithm is used to assimilate the observed data and simulated data to obtain the assimilated soil moisture. Error evaluation indicators are used to evaluate the accuracy of the obtained assimilation results and further use different particle numbers and observation errors to conduct multiple data assimilation experiments to explore the sensitivity of particle numbers and observation errors to the assimilation results. The root mean square error (RMSE), relative error (RE) and mean absolute error (MAE) are used to test and verify the effect of data assimilation. The test shows that the dynamic analysis of the regional soil moisture content in the upper reaches of Xiashan Reservoir in the Fangwei River basin by using this method the distribution map obtained by dividing the vegetation coverage are more consistent with the actual situation in terms of the proportion of different soil water salinization degrees, the regional distribution of water, etc. The idea of using hyperspectral remote sensing to retrieve soil moisture is effective.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60777328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Boukhriss, M. Maatoug, Sleh Farhani, M. Timoumi, Adel Jammali, H. B. Bacha
This work presents an experimental validation of MD unit coupled with a sweeping gas membrane (SGMD) using solar energy experimental validation of a sweeping gas membrane distillation (SGMD) unit coupled with solar energy. This station is installed at the University of Kairouan in Tunisia. SGMD is the least used membrane distillation (MD) configuration, and it is very expensive to build. SGMD is used to completely remove solutions containing non-volatile compounds such as salts and recover only high-purity water. A theoretical and experimental study was carried out with the parameters that intervene in the system. The theory of the system is described by a mathematical model based on the heat and mass transfer of the MD unit. Experimental studies were carried out for two types of processes: with preheating and without preheating of the charge (brine). With a low gas flow, the evaporation capacity varies between 0.15 and 0.25 l/m2 h. The operating parameter (liquid velocity) is affected by the layer on both sides of the membrane. Utilizing the water heating by the solar collector increases the evaporation efficiency in the SGMD, and increasing the flow rate the permeate flow in the SGMD. SGMD unit experimental data were submitted to evaluate the reliability obtained from the MD unit, aspects of heat transfer, mass transfer, in solation patterns and all temperatures considering the efficiency of the MD unit.
{"title":"Experimental validation of membrane distillation unit coupled with a sweeping gas membrane using solar energy","authors":"M. Boukhriss, M. Maatoug, Sleh Farhani, M. Timoumi, Adel Jammali, H. B. Bacha","doi":"10.1093/ijlct/ctad083","DOIUrl":"https://doi.org/10.1093/ijlct/ctad083","url":null,"abstract":"This work presents an experimental validation of MD unit coupled with a sweeping gas membrane (SGMD) using solar energy experimental validation of a sweeping gas membrane distillation (SGMD) unit coupled with solar energy. This station is installed at the University of Kairouan in Tunisia. SGMD is the least used membrane distillation (MD) configuration, and it is very expensive to build. SGMD is used to completely remove solutions containing non-volatile compounds such as salts and recover only high-purity water. A theoretical and experimental study was carried out with the parameters that intervene in the system. The theory of the system is described by a mathematical model based on the heat and mass transfer of the MD unit. Experimental studies were carried out for two types of processes: with preheating and without preheating of the charge (brine). With a low gas flow, the evaporation capacity varies between 0.15 and 0.25 l/m2 h. The operating parameter (liquid velocity) is affected by the layer on both sides of the membrane. Utilizing the water heating by the solar collector increases the evaporation efficiency in the SGMD, and increasing the flow rate the permeate flow in the SGMD. SGMD unit experimental data were submitted to evaluate the reliability obtained from the MD unit, aspects of heat transfer, mass transfer, in solation patterns and all temperatures considering the efficiency of the MD unit.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60778055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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