{"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":"1 1","pages":""},"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}
{"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":"1 1","pages":""},"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}
{"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":"42 1","pages":""},"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
{"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":"147 1","pages":""},"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
{"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":"1 1","pages":""},"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}
Wenjin Chen, Hao Huang, Jun Zhang, Silei Yao, Ruoyi Zhang
{"title":"Research on failure prediction of wind turbines in offshore wind clusters","authors":"Wenjin Chen, Hao Huang, Jun Zhang, Silei Yao, Ruoyi Zhang","doi":"10.1093/ijlct/ctad054","DOIUrl":"https://doi.org/10.1093/ijlct/ctad054","url":null,"abstract":"Offshore wind is a very promising renewable energy source, and offshore wind power has been widely used. However, the maintenance of offshore wind power is a very inconvenient task, which not only is difficult to operate but also can be very costly, and it is essential to anticipate offshore wind power failures in advance. In this paper, we focus on wind turbine faults for analysis, wherein we use a high-performance radial basis function (RBF) neural network, and to obtain the center of its RBF, the normalization constant and the weighting coefficients from the hidden layer to the output layer for better performance, we use an optimized particle swarm optimization algorithm so as to obtain more accurate parameters and therefore seek better performance. We focus on two very high failure rates of wind turbines for testing, and the results show that our proposed method can predict the occurrence of failures 10–20 h in advance and thus have a good performance.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":"318 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60777385","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}
{"title":"Exergoeconomic evaluation of a new carbon-free hydrogen and freshwater production system based on biomass gasification process","authors":"Xinhua Zhang, Hong Li, M. Taghavi","doi":"10.1093/ijlct/ctad012","DOIUrl":"https://doi.org/10.1093/ijlct/ctad012","url":null,"abstract":"This article is based on the conceptual-thermodynamic design and exergoeconomic investigation of a new poly-generation system driven by a biomass fuel (i.e. wood). In the proposed energy system, a Rankine power process, a gasification process, a desalination process (i.e. multi-effect desalination, MED) and a water electrolyzer (i.e. solid oxide electrolyzer cell, SOEC) are installed in a hybrid form. Electric energy, fresh water and hydrogen gas are the useful output products of the proposed energy system. The proposed energy system indicates an innovative framework for the carbon-free production of these products, which introduces an environmentally friendly and efficient schematic. The findings of the research indicated that the proposed energy system is capable of producing more than 1.8 MW of electric power. Other useful output products of the proposed energy system include hydrogen fuel and fresh water, which were calculated as 0.0036 kg/s and 9.92 m3/h, respectively. It was also calculated that the proposed energy system can achieve energetic and exergetic efficiencies equal to 37.1% and 17.8%, respectively. The total unit exergy cost of the products and the exergy destruction rate of the proposed energy system were equal to 15.9$/GJ and 8640 kW, respectively. Parametric analysis is also presented in order to identify the input variables affecting the performance of the energy system. Further, the behavior of the system under four different types of biomass was evaluated and compared.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":"1 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60777280","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}
Monisha Ravi, Balasubramanian Murugesan, K. Onyelowe
{"title":"Performance evaluation of marine and industrial wastes in cement to envelope low carbon environment in manufacturing process","authors":"Monisha Ravi, Balasubramanian Murugesan, K. Onyelowe","doi":"10.1093/ijlct/ctad082","DOIUrl":"https://doi.org/10.1093/ijlct/ctad082","url":null,"abstract":"The bonding strength of waste recycled cement mortar in a low carbon brick masonry prism is influenced by this study. The disposal of marine and industrial trash has emerged as a serious environmental and ecological concern across the world against the climate action of the United Nations Sustainable Development Goals (UNSDGs) and COP27. The use of alternative waste materials in the cement industry minimizes the carbon footprint in the manufacture, construction and overall building lifespan and enhances low carbon technology. The bonding 1ehaveior of the 3R hybrid cement (oyster shell, ground granulated blast furnace slag and tyre waste powder) is evaluated in a brick masonry prism. The impact of hybrid mortar bond strength on triplet masonry prism specimens and cement mortar cubes is investigated in this study using first-class bricks and OPC 53 cement with 3R waste materials. In addition, the chemical characteristics, workability, compressive strength, shear, bond, thermal, durable and microstructure studies of traditional and hybrid cement composites were determined. These three waste material compositions in the cement matrix have an influence on the development of alternative waste recycling and reuse materials in industry. Using hybrid cement saves CO2 emissions, low carbon emissions and energy consumption and has economic and environmental implications. The testing findings show that the brick-and-mortar bond has an excellent lead with the maximum compressive strength of the brick masonry prism.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":"1 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60777877","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}
{"title":"Synergy Degree Evaluation in the Development of Intelligent Construction and Construction Industrialization—A Case Study of Shenyang, China","authors":"Jiangxuan Wu, Lihong Li","doi":"10.1093/ijlct/ctad065","DOIUrl":"https://doi.org/10.1093/ijlct/ctad065","url":null,"abstract":"In recent years, China’s construction industry has faced looming problems such as sloppy production methods and environmental pollution. Then the initiative of ‘synergistic development of intelligent construction and construction industrialization (ICCI)’ was proposed, which brings new opportunities for the transformation and upgrading and high-quality development of the construction industry. However, the synergy degree in the development of ICCI cannot be measured by the senses. Therefore, this study is devoted to quantitative analysis of the synergy degree in the development of ICCI by establishing a mathematical model. The concept of the synergy degree in the development of ICCI is defined based on synergetics. CiteSpace software is used to determine the five basic elements of talent, technology, information, environment and policy for the synergistic development of ICCI. Based on this, building a mechanism for synergistic development of ICCI with the Driving Force-State-Response (DFSR) model. Establishing an evaluation index system for the synergy degree in the development of ICCI through expert interviews. Then, combining entropy power method and coupling coordination model to empirically analyse the synergy degree in the development of ICCI in Shenyang. The results show that Shenyang is currently at the stage of high-level coupling and high-quality synergy, which is consistent with the actual development. It is also confirmed that the evaluation system of the synergy degree in the development of ICCI is scientific and reasonable. Finally, this study summarizes the suggestions for different levels of the synergy degree in the development of ICCI, which provides a reference for each region to better promote the synergistic development of ICCI.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":"1 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60777961","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}
Vijay Patel, K B Judal, Hitesh Panchal, Naveen Kumar Gupta, Musaddak Maher Abdul Zahra, Mohd Asif Shah
{"title":"Mathematical modelling and verification of open sun drying of cotton seeds","authors":"Vijay Patel, K B Judal, Hitesh Panchal, Naveen Kumar Gupta, Musaddak Maher Abdul Zahra, Mohd Asif Shah","doi":"10.1093/ijlct/ctad075","DOIUrl":"https://doi.org/10.1093/ijlct/ctad075","url":null,"abstract":"Abstract Researchers have carried out the kinetics of various agro products for open sun drying, but research articles still need to address such analysis for cotton seeds. Open sun drying of cotton seeds has been experimentally investigated and presented in this paper. Shorting of cotton seeds was carried out to collect appropriate samples in current research work. Cotton seeds were found to have a nearly ovoid shape with an average radius of 2 to 2.5 mm. The initial moisture content of cotton seeds was estimated to be 14.65% wet-basis using the hot air oven method. During drying, the reduction in the mass of cotton seeds was measured at every one-hour time interval. From this data, it was observed that drying occurred with a falling rate period. Drying data were fitted with 10 mathematical models available in the literature. Multi-regression analysis in Excel-solver equation was performed to obtain values of constants and coefficients of these models. Coefficient of determination (R2), reduced chi-square (χ2) and root mean square error were taken as criteria for the selection of the best drying model. The diffusion approach and models by Verma et al. were chosen as the most suitable drying models for open sun drying of cotton seeds. Effective diffusivity was estimated and found within the range suggested in the literature.","PeriodicalId":14118,"journal":{"name":"International Journal of Low-carbon Technologies","volume":"61 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135734834","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}