Template-Type: ReDIF-Article 1.0 Author-Name: Hassan Hamie Author-X-Name-First: Hassan Author-X-Name-Last: Hamie Author-Name: Anis Hoayek Author-X-Name-First: Anis Author-X-Name-Last: Hoayek Author-Name: Michel Kamel Author-X-Name-First: Michel Author-X-Name-Last: Kamel Author-Name: Hans Auer Author-X-Name-First: Hans Author-X-Name-Last: Auer Title: Northwestern European wholesale natural gas prices: comparison of several parametric and non-parametric forecasting methods Abstract: The ability to understand the stochastic process that governs the changes in natural gas prices is crucial for many reasons. This paper aims to introduce the important methods widely used in econometrics, by linking them to a common 'use case' in the subject of commodity pricing. Using the data of natural gas' weekly prices from 2007 to 2014 of the German gas hub, the methods of least squares, maximum likelihood, machine learning gradient descent, and least squares optimisation are used to compute the coefficients of a multivariate causal regression analysis. This study also tests the short-term prediction of wholesale natural gas prices for each method used. It is found that where the linear approximation is not valid, the method suffers accordingly. However, the mathematical methods of gradient descent and least squares optimisation help visualise the data sets, highlight, and accentuate the nonlinear effects of several variables on the spot gas prices. Journal: Int. J. of Global Energy Issues Pages: 259-284 Issue: 3/4 Volume: 42 Year: 2020 Keywords: natural gas; forecasting methods; regression; maximum likelihood; gradient descent; least squares optimisation; machine learning; energy. File-URL: http://www.inderscience.com/link.php?id=108951 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:3/4:p:259-284 Template-Type: ReDIF-Article 1.0 Author-Name: Lede Niu Author-X-Name-First: Lede Author-X-Name-Last: Niu Author-Name: Mei Pan Author-X-Name-First: Mei Author-X-Name-Last: Pan Author-Name: Yan Zhou Author-X-Name-First: Yan Author-X-Name-Last: Zhou Title: Evaluation method for urban renewable energy utilisation efficiency based on DEA model Abstract: In order to overcome the low accuracy of urban energy efficiency evaluation, a method of urban renewable energy efficiency evaluation based on DEA model was proposed. Based on the principles of representativeness, comparability, feasibility and DPSIR model, the evaluation index system of urban renewable energy efficiency was constructed. The Analytic Hierarchy Process (AHP) is introduced to screen the indicators. The primary indicators are mainly composed of economy, physics and synthesis. The secondary index mainly consists of elastic coefficient of energy consumption and comprehensive utilisation rate of waste. Based on the evaluation index system, DEA is introduced to construct the evaluation model by taking the city as a decision-making unit DMU, so as to realise the evaluation of urban renewable energy use efficiency. The experimental results show that the evaluation results of the proposed method are closer to the actual situation than the literature results, and the fitting degree is more than 90%. Journal: Int. J. of Global Energy Issues Pages: 127-143 Issue: 3/4 Volume: 42 Year: 2020 Keywords: DEA model; city; renewable energy; utilisation efficiency; evaluation. File-URL: http://www.inderscience.com/link.php?id=108953 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:3/4:p:127-143 Template-Type: ReDIF-Article 1.0 Author-Name: Gu Jiale Author-X-Name-First: Gu Author-X-Name-Last: Jiale Title: Research on application potential prediction method for urban energy system based on decision tree Abstract: In order to overcome the problems of low accuracy and low operational efficiency of application potential prediction methods for traditional urban energy system, an application potential prediction method for urban energy system based on decision tree is proposed. The method classifies the energy system data using evidence weight model. According to the classification results, the attributes of urban energy system are classified by using spatial similarity principle, and the spatial topology, orientation and distance relationships of urban energy variables and evaluation units in the scene are extracted. The decision tree is built with the attributes of urban energy system as the sample set. The decision tree is improved by using the probability-based ranking method and Laplace transform. The application potential prediction model for urban energy system is constructed by the improved decision tree. The experimental results show that the method has high accuracy, high efficiency and reliability. Journal: Int. J. of Global Energy Issues Pages: 144-161 Issue: 3/4 Volume: 42 Year: 2020 Keywords: decision tree; urban; energy system; application potential; prediction. File-URL: http://www.inderscience.com/link.php?id=108954 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:3/4:p:144-161 Template-Type: ReDIF-Article 1.0 Author-Name: Jindong Chen Author-X-Name-First: Jindong Author-X-Name-Last: Chen Title: The influence of drainage system renovation on urban energy utilisation efficiency Abstract: In order to overcome the long research cycle of traditional urban energy use efficiency and improve the urban low energy use efficiency, the influence of drainage system transformation on urban energy use efficiency was studied. With SWMM tool, the drainage system is comprehensively reformed and a new drainage network system is constructed. According to the time dimension and energy utilisation structure, this paper analyses the influence of drainage system on improving urban energy utilisation efficiency, calculates the elasticity coefficient of urban energy utilisation efficiency, and studies the influence of drainage system transformation on urban energy utilisation efficiency. The experimental results show that the urban energy utilisation efficiency after the drainage system transformation is above 65%, and the study period is only 10 hours, which proves that the improved drainage system can effectively improve the urban energy utilisation efficiency and shorten the study period. Journal: Int. J. of Global Energy Issues Pages: 162-177 Issue: 3/4 Volume: 42 Year: 2020 Keywords: drainage system renovation; urban energy; utilisation efficiency; energy utilisation structure. File-URL: http://www.inderscience.com/link.php?id=108955 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:3/4:p:162-177 Template-Type: ReDIF-Article 1.0 Author-Name: Jianhui Qin Author-X-Name-First: Jianhui Author-X-Name-Last: Qin Title: Research on urban new energy repeated conversion method oriented to municipal planning Abstract: In order to overcome the waste of energy in the utilisation of traditional urban new energy sources, a new urban renewable energy conversion method oriented to municipal planning is proposed. Based on the energy purchase cost, equipment operation cost and penalty cost of the new energy conversion system, the new energy conversion objective function is set up. The original constraints and lower optimisation problems are combined by KKT condition. Fortuny - A mat McCarl method is selected to transform the combined problems. For linear constraints, all models in the system are solved, and the unified and coordinated planning of multi-energy forms such as electricity, natural gas and heat energy is completed. The experimental results show that the method can transform the new urban energy, alleviate the pressure of transmission network and achieve energy optimisation; at the same time, it can effectively store energy and realise the repeated conversion of new energy; and the average conversion cost is only 200,100 Yuan, with high economic benefits. Journal: Int. J. of Global Energy Issues Pages: 178-197 Issue: 3/4 Volume: 42 Year: 2020 Keywords: municipal planning; city; new energy sources; repetition; conversion methods; research. File-URL: http://www.inderscience.com/link.php?id=108956 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:3/4:p:178-197 Template-Type: ReDIF-Article 1.0 Author-Name: Huaqing Zeng Author-X-Name-First: Huaqing Author-X-Name-Last: Zeng Title: Multi-load prediction modelling for combined energy system of intelligent city buildings Abstract: Aiming at the problem that there is a big difference between the predicted load and the actual load, a multi-load forecasting model for the combined energy system of intelligent city buildings is proposed. Using DeST to construct the building model and simulate the load characteristics of the building, the composite model of the building is constructed and the structure of the energy system is defined. Based on Bayesian theory, the multi-load model of building energy system is constructed. MCMCMC algorithm is used to optimise the multi-load model of building composite energy system, realise multi-load prediction and promote the development of energy industry. The experimental results show that the power load prediction and heat load prediction of this method are always higher than those of other methods, and MAPE is lower than 0.2, which proves that this method can accurately predict the multi-load of buildings with high prediction accuracy. Journal: Int. J. of Global Energy Issues Pages: 198-211 Issue: 3/4 Volume: 42 Year: 2020 Keywords: city buildings; energy system; multi-load; prediction model. File-URL: http://www.inderscience.com/link.php?id=108957 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:3/4:p:198-211 Template-Type: ReDIF-Article 1.0 Author-Name: Hui-Hua Xiong Author-X-Name-First: Hui-Hua Author-X-Name-Last: Xiong Author-Name: Jia-Jie Chen Author-X-Name-First: Jia-Jie Author-X-Name-Last: Chen Author-Name: Ji-Xian Hu Author-X-Name-First: Ji-Xian Author-X-Name-Last: Hu Title: Application of passive energy-saving technology for building planning in urban power supply system Abstract: In order to overcome the energy consumption problem of energy-saving technology in traditional urban power supply system, a new passive energy-saving technology for building planning is proposed. Based on the Ecotect tool, the best orientation is obtained, the digital simulation method is introduced and combined with the characteristics of the building itself to carry out the digital simulation, so as to realise the design of photovoltaic array. The output cables of solar cell module arrays are connected separately, so that each connection has a certain order, thus improving the fault tolerance of the system. The experimental results show that the proposed method has a high photovoltaic power generation capacity of 1726 kW and a low annual energy consumption of about 15 Wh/m². It is proved that passive energy-saving technology has better performance and higher reliability in power supply system. Journal: Int. J. of Global Energy Issues Pages: 212-226 Issue: 3/4 Volume: 42 Year: 2020 Keywords: building planning; passive energy-saving; power supply system. File-URL: http://www.inderscience.com/link.php?id=108958 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:3/4:p:212-226 Template-Type: ReDIF-Article 1.0 Author-Name: Ge Cao Author-X-Name-First: Ge Author-X-Name-Last: Cao Author-Name: Li Wang Author-X-Name-First: Li Author-X-Name-Last: Wang Title: Research on site selection modelling of new energy construction projects oriented to municipal planning Abstract: In order to overcome the problems of low index rationality and low model accuracy when constructing new energy construction project site selection model by traditional methods. The modelling method of new energy construction project location for municipal planning is proposed. According to the evaluation index of engineering site selection, a multi-type evaluation index system is constructed. Entropy weight method and analytic hierarchy process are combined to calculate the corresponding weights of the evaluation indicators. On the basis of grey evaluation principle, evaluation indexes are divided and grey evaluation weight matrix is established. Evaluation value is used to select the best scheme to complete the new energy construction project site selection. The experimental results show that the skewness coefficients of the proposed method are close to zero, which proves that the proposed method is more reasonable and the model is more accurate. Journal: Int. J. of Global Energy Issues Pages: 227-243 Issue: 3/4 Volume: 42 Year: 2020 Keywords: municipal planning; new energy construction; evaluation indicator; site selection modelling. File-URL: http://www.inderscience.com/link.php?id=108959 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:3/4:p:227-243 Template-Type: ReDIF-Article 1.0 Author-Name: Lei Chen Author-X-Name-First: Lei Author-X-Name-Last: Chen Title: Study on carbon fixation and oxygen release ability of urban greening tree species based on spatial and temporal dynamic analysis Abstract: In order to overcome the problems of one-sided analysis index and low accuracy of traditional carbon fixation and oxygen release ability analysis method, a research method of carbon fixation and oxygen release ability of urban green tree species based on spatiotemporal dynamic analysis was proposed. Four common plants of Magnoliaceae were selected as the objects of study. The spatial and temporal dynamic analysis method was introduced to analyse the correlation factors of the tree species such as the light response curve and the diurnal variation characteristics of the net photosynthetic rate. The carbon sequestration capacity of leaves and individual green tree species was quantified. The experimental results show that this method can accurately analyse the carbon sequestration and oxygen release capacity of green tree species, improve the photosynthesis effect, optimise the cooling and humidification scheme, improve the carbon sequestration and oxygen release effect, and make a significant contribution to urban greening. Journal: Int. J. of Global Energy Issues Pages: 244-258 Issue: 3/4 Volume: 42 Year: 2020 Keywords: spatial and temporal dynamic analysis; urban greening tree species; carbon fixation and oxygen release capacity; physiological and ecological indicators. File-URL: http://www.inderscience.com/link.php?id=108960 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:3/4:p:244-258 Template-Type: ReDIF-Article 1.0 Author-Name: Xiaoju Sun Author-X-Name-First: Xiaoju Author-X-Name-Last: Sun Title: Design of building energy consumption monitoring model based on parallel cloud computing Abstract: Traditional single-threaded energy consumption monitoring methods for buildings is poor in anti-interference, resulting in relatively high monitoring error rate and low accuracy and hindering practical application of them, so a design scheme of building energy consumption monitoring model based on parallel cloud computing is proposed. In this method, building energy consumption data is collected in parallel cloud computing mode, and the big data mining and characteristic extraction methods are adopted to reconstruct the building energy consumption data characteristics and fuse the parallel collected data; correlation analysis is performed to samples of the fused data, and relevant building energy consumption data is processed with linear fitting, and then the results are output. The simulation results show that when this model is adopted for building energy consumption monitoring, the output bit error converges to 0 if the input signal-to-noise ratio is 6 dB, indicating that the proposed method can provide relatively high accuracy and performs well in anti-interference, so it has certain practical application value. Journal: Int. J. of Global Energy Issues Pages: 457-469 Issue: 5/6 Volume: 42 Year: 2020 Keywords: building; energy consumption monitoring; parallel cloud computing mode. File-URL: http://www.inderscience.com/link.php?id=111174 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:5/6:p:457-469 Template-Type: ReDIF-Article 1.0 Author-Name: Lede Niu Author-X-Name-First: Lede Author-X-Name-Last: Niu Author-Name: Mei Pan Author-X-Name-First: Mei Author-X-Name-Last: Pan Author-Name: Liran Xiong Author-X-Name-First: Liran Author-X-Name-Last: Xiong Title: Convergence analysis of urban green traffic carbon emission based on grey prediction model Abstract: In order to overcome the big error of convergence test results of traditional methods, a convergence analysis method of urban green traffic carbon emission based on grey prediction model is proposed. The carbon emission data of three major areas of urban green traffic in recent years are collected, and the urban green traffic carbon emission is estimated according to the data collection results, and the spatial characteristics of the obtained urban green traffic carbon emission data are analysed data processing, including differentiation processing and clustering processing, based on the grey prediction model to build a convergence analysis model of urban green traffic carbon emissions, using the model to carry out convergence analysis of urban green traffic carbon emissions. The experimental results show that the standard error of the convergence test results of the proposed method is smaller than traditional methods, which verifies the effectiveness of the proposed method. Journal: Int. J. of Global Energy Issues Pages: 285-301 Issue: 5/6 Volume: 42 Year: 2020 Keywords: grey prediction model; urban green traffic; carbon emissions; convergence analysis. File-URL: http://www.inderscience.com/link.php?id=111180 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:5/6:p:285-301 Template-Type: ReDIF-Article 1.0 Author-Name: Xudong Zhou Author-X-Name-First: Xudong Author-X-Name-Last: Zhou Title: Optimal lighting operation method for photovoltaic new energy access system of urban street lamp Abstract: In order to overcome the problems of large lighting operation control error and serious energy consumption in the current street lamp system, this paper proposes an optimisation method for the lighting operation of urban street lamp photovoltaic new energy access system. Set up a dual power solar photovoltaic street lamp system. When the system starts to operate, judge whether it is in the daytime according to the signal frequency. After a period of operation, determine whether it is in the daytime according to the frequency. If there is no change in the state, continue to implement the current working mode; if there is change, switch to another working mode, and continue to cycle the process. The experimental results show that the optimal control accuracy of the proposed method is high, the maximum control error is only 0.5, the energy consumption is low, and the average energy consumption is 192 J. Journal: Int. J. of Global Energy Issues Pages: 302-322 Issue: 5/6 Volume: 42 Year: 2020 Keywords: urban street lamp; photovoltaic new energy; access system; lighting operation optimisation. File-URL: http://www.inderscience.com/link.php?id=111181 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:5/6:p:302-322 Template-Type: ReDIF-Article 1.0 Author-Name: Zhe-Liang Jin Author-X-Name-First: Zhe-Liang Author-X-Name-Last: Jin Author-Name: Martinez Davis Author-X-Name-First: Martinez Author-X-Name-Last: Davis Title: Energy-saving control method of electric heating film temperature for urban zero energy consumption building heating Abstract: Aiming at the problem of high energy consumption of electrothermal membrane in building heating, the energy-saving control method of zero energy consumption building electrothermal membrane temperature is proposed. By using multithread parallel learning technology and temperature steady-state response to construct decoupling regulation method, the object model of building heating electric membrane temperature regulation is constructed; through the control increment analysis and correction of building heating electric membrane temperature regulation, the energy-saving control of building heating electric membrane is carried out, and the fault-tolerant optimisation analysis of building heating electric membrane is carried out. The energy-saving control model is used to control the heating film temperature of zero energy consumption building, and the fuzzy feedback adaptive control model is established. The experimental results show that the energy consumption of the proposed method is small and the temperature output has strong robustness and stability. Journal: Int. J. of Global Energy Issues Pages: 323-338 Issue: 5/6 Volume: 42 Year: 2020 Keywords: urban zero energy consumption; building heating; electric heating film; temperature; energy saving control. File-URL: http://www.inderscience.com/link.php?id=111182 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:5/6:p:323-338 Template-Type: ReDIF-Article 1.0 Author-Name: Ya-Zhou Xing Author-X-Name-First: Ya-Zhou Author-X-Name-Last: Xing Author-Name: Zhong-Min Yin Author-X-Name-First: Zhong-Min Author-X-Name-Last: Yin Author-Name: Hao Xue Author-X-Name-First: Hao Author-X-Name-Last: Xue Author-Name: Na Zhang Author-X-Name-First: Na Author-X-Name-Last: Zhang Title: Optimisation of energy-saving control parameters of urban underground sewage treatment pumps based on fuzzy parameter adaption Abstract: In order to improve energy-saving control of urban underground sewage treatment pumps, an optimisation method of energy-saving control parameters of urban underground sewage treatment pumps based on fuzzy parameter adaption is proposed. Firstly, the energy-saving control object model of an urban underground sewage pump is constructed, and the energy-saving parameters of the urban underground sewage treatment pump are adjusted using a first-order linear auto-disturbance rejection controller. Secondly, a speed observer is used to optimise the speed of the energy-saving underground sewage treatment pump. Finally, the load disturbance and parameter perturbation is optimised by constructing a high-frequency buffeting and hysteresis inhibition model. The simulation results show that the method has good adaptability, strong anti-interference ability and robustness for energy-saving control of sewage treatment pumps. Journal: Int. J. of Global Energy Issues Pages: 339-354 Issue: 5/6 Volume: 42 Year: 2020 Keywords: underground sewage treatment pump; energy saving; automatic control. File-URL: http://www.inderscience.com/link.php?id=111183 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:5/6:p:339-354 Template-Type: ReDIF-Article 1.0 Author-Name: Li Wang Author-X-Name-First: Li Author-X-Name-Last: Wang Author-Name: Ge Cao Author-X-Name-First: Ge Author-X-Name-Last: Cao Title: Feasibility model of urban residential buildings with zero-energy-consuming using solar energy sources based on Laplace transformation Abstract: In order to overcome the problems of low energy-saving rate and high net energy consumption existing in the urban residential zero-energy building feasibility model, this paper proposes a new solar source urban residential zero-energy building feasibility model based on Laplace transform method. The Laplacian transform of the energy-saving design parameters of the solar energy source urban residential zero-energy building is used to build a feasibility model of the urban residential zero-energy building. The feasibility parameters of the urban residential zero-energy building are calculated based on the feasibility model, and consumption of building feasibility. The experimental results show that the feasibility model of urban residential zero-energy building construction greatly improves the energy saving rate, the highest energy saving rate can reach 93%, the net energy consumption is reduced, and the minimum energy consumption is only 80 kg/t. Journal: Int. J. of Global Energy Issues Pages: 355-374 Issue: 5/6 Volume: 42 Year: 2020 Keywords: Laplacian transformation; solar energy; urban housing; zero-energy-consuming; building; feasibility. File-URL: http://www.inderscience.com/link.php?id=111184 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:5/6:p:355-374 Template-Type: ReDIF-Article 1.0 Author-Name: Xiaoliang Li Author-X-Name-First: Xiaoliang Author-X-Name-Last: Li Author-Name: Jinfeng Lu Author-X-Name-First: Jinfeng Author-X-Name-Last: Lu Title: Energy-saving feature extraction method for urban buildings with near-zero energy-consuming based on SVR Abstract: In order to solve the problem of poor fitting performance of traditional energy saving feature extraction method in urban buildings with near zero energy consumption, an energy saving feature extraction method based on SVR is proposed. The data are recovered and processed by means of mean value substitution method, and the correlation order of data parameters is realised through grey correlation analysis. Based on the feature weighting theory, the energy saving data of near zero energy saving buildings are cluster analysed. The main component analysis method is used to deal with feature extraction data, reduce the size of feature extraction data, and use SVR to achieve the extraction of energy saving characteristics of nearly zero energy consumption buildings in cities. The experimental results show that the method is always higher than other methods, with a maximum of 88%. The results show that the method is effective in feature extraction. Journal: Int. J. of Global Energy Issues Pages: 375-392 Issue: 5/6 Volume: 42 Year: 2020 Keywords: SVR; near-zero energy-consuming buildings in cities; energy-saving feature extraction; outlier point processing; abnormal data detection. File-URL: http://www.inderscience.com/link.php?id=111185 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:5/6:p:375-392 Template-Type: ReDIF-Article 1.0 Author-Name: Qingfen Wang Author-X-Name-First: Qingfen Author-X-Name-Last: Wang Author-Name: Xinfa Zeng Author-X-Name-First: Xinfa Author-X-Name-Last: Zeng Title: Energy-saving optimisation method for green space planning of urban gardens based on artificial bee colony algorithm Abstract: In order to overcome the problems of time-consuming and high energy consumption in traditional green space planning optimisation methods, a new energy-saving optimisation method based on artificial bee colony algorithm is proposed. The energy-saving model of urban green space planning is established by energy plus software, and the influence of various variables on energy consumption of urban green space planning is analysed by combining the parameter operation algorithm in genpot optimisation software. Based on the artificial bee colony optimisation algorithm, the optimisation parameters are selected, the optimisation objective function is established to optimise the parameters, and the energy-saving method of urban green space planning is studied. The experimental results show that the proposed method has high optimisation efficiency, and the energy consumption of the optimised model is greatly reduced. Journal: Int. J. of Global Energy Issues Pages: 393-408 Issue: 5/6 Volume: 42 Year: 2020 Keywords: artificial bee colony algorithm; urban landscape architecture; green space planning; energy conservation effect. File-URL: http://www.inderscience.com/link.php?id=111186 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:5/6:p:393-408 Template-Type: ReDIF-Article 1.0 Author-Name: Fan Yang Author-X-Name-First: Fan Author-X-Name-Last: Yang Author-Name: Junting Hao Author-X-Name-First: Junting Author-X-Name-Last: Hao Author-Name: Fang Liu Author-X-Name-First: Fang Author-X-Name-Last: Liu Title: Study on energy conversion efficiency of biomass continuous carbonisation in municipal domestic sewage based on filtration technology Abstract: In order to overcome the problem that the energy conversion efficiency of municipal sewage carbonisation is not clear, the research method of energy conversion efficiency of municipal sewage biomass continuous carbonisation based on filtration technology is proposed. In order to obtain the municipal domestic sewage, SBR dephosphorisation device was used to dephosphorise the domestic sewage. Based on the filtration technology, biological aerated filter and A/O biological filter were used to filter the domestic sewage after dephosphorisation to complete the extraction of biomass. The experimental results show that in the period of 1-30 s, the energy conversion efficiency of biomass carbonisation shows an upward trend, the maximum value is 0.94; in the period of 31-40 s, the energy conversion efficiency of biomass carbonisation shows a downward trend. Through the experiment, it can be clear that the energy conversion efficiency of biomass continuous carbonisation in different periods of time. Journal: Int. J. of Global Energy Issues Pages: 409-424 Issue: 5/6 Volume: 42 Year: 2020 Keywords: filtration technology; municipal domestic sewage; biomass; carbonisation; energy conversion. File-URL: http://www.inderscience.com/link.php?id=111187 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:5/6:p:409-424 Template-Type: ReDIF-Article 1.0 Author-Name: Bohong Zheng Author-X-Name-First: Bohong Author-X-Name-Last: Zheng Author-Name: Jing Yang Author-X-Name-First: Jing Author-X-Name-Last: Yang Author-Name: Xiaolong Wen Author-X-Name-First: Xiaolong Author-X-Name-Last: Wen Title: Energy saving and emission reduction method for green transportation in tourist cities based on grey correlation degree Abstract: To solve the problem of high energy consumption in the existing tourism city green transportation energy saving and emission reduction methods, this paper proposes a new method based on grey correlation degree for tourism city green transportation energy saving and emission reduction. Construct a green transportation energy demand prediction model and a greenhouse gas emission calculation model, calculate vehicle greenhouse gas emissions, and use the grey correlation analysis method to connect the models to select the best vehicle energy saving and emission reduction parameters to achieve transportation energy saving and emission reduction. The research data shows that compared with the traditional method, the proposed method can effectively reduce the emission energy consumption, the energy saving rate can be up to 93%, and the minimum greenhouse gas emission is 210 tons. It fully shows that the proposed energy saving and emission reduction methods of green transportation in tourist cities have better energy saving and emission reduction effects. Journal: Int. J. of Global Energy Issues Pages: 425-442 Issue: 5/6 Volume: 42 Year: 2020 Keywords: grey correlation degree; tourist city; green transportation; emission calculation model. File-URL: http://www.inderscience.com/link.php?id=111189 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:5/6:p:425-442 Template-Type: ReDIF-Article 1.0 Author-Name: Lanying Zhao Author-X-Name-First: Lanying Author-X-Name-Last: Zhao Author-Name: Huina Jia Author-X-Name-First: Huina Author-X-Name-Last: Jia Title: Study on the energy-saving reconstruction method of the outer architecture envelope of urban public architecture Abstract: In order to avoid the high energy consumption of public architecture envelope, an energy-saving reconstruction method of urban public architecture envelope based on multi-sensor node fusion and distribution technology is proposed. Firstly, through the optimisation of the thermal sensor node configuration model, the energy-saving parameters are sampled to build the energy consumption model of the energy-saving transformation of the urban public architecture envelope. Secondly, the energy-saving load performance of the envelope structure of urban public architectures is analysed. Thirdly, the optimal allocation model and heat transfer objective function of the heat sensor nodes under the balanced heat control are established. Finally, the energy optimisation of urban public architecture envelope is carried out by using the method of space chain balanced distribution. The results show that this method can reduce the energy consumption of urban public architecture envelope and realise the energy saving of urban public architecture envelope. Journal: Int. J. of Global Energy Issues Pages: 443-456 Issue: 5/6 Volume: 42 Year: 2020 Keywords: urban public architecture; outer architecture envelope; energy-saving reconstruction; clustering node. File-URL: http://www.inderscience.com/link.php?id=111197 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijgeni:v:42:y:2020:i:5/6:p:443-456