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- Convergence analysis of urban green traffic carbon emission based on grey
prediction model- Authors: Lede Niu, Mei Pan, Liran Xiong
Pages: 285 - 301
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.
Keywords: grey prediction model; urban green traffic; carbon emissions; convergence analysis
Citation: International Journal of Global Energy Issues, Vol. 42, No. 5/6 (2020) pp. 285 - 301
PubDate: 2020-11-12T23:20:50-05:00
DOI: 10.1504/IJGEI.2020.111180
Issue No: Vol. 42, No. 5/6 (2020)
- Optimal lighting operation method for photovoltaic new energy access
system of urban street lamp- Authors: Lede Niu, Mei Pan, Liran Xiong
Pages: 302 - 322
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.
Keywords: urban street lamp; photovoltaic new energy; access system; lighting operation optimisation
Citation: International Journal of Global Energy Issues, Vol. 42, No. 5/6 (2020) pp. 302 - 322
PubDate: 2020-11-12T23:20:50-05:00
DOI: 10.1504/IJGEI.2020.111181
Issue No: Vol. 42, No. 5/6 (2020)
- Energy-saving control method of electric heating film temperature for
urban zero energy consumption building heating- Authors: Zhe-Liang Jin, Martinez Davis
Pages: 323 - 338
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.
Keywords: urban zero energy consumption; building heating; electric heating film; temperature; energy saving control
Citation: International Journal of Global Energy Issues, Vol. 42, No. 5/6 (2020) pp. 323 - 338
PubDate: 2020-11-12T23:20:50-05:00
DOI: 10.1504/IJGEI.2020.111182
Issue No: Vol. 42, No. 5/6 (2020)
- Optimisation of energy-saving control parameters of urban underground
sewage treatment pumps based on fuzzy parameter adaption- Authors: Ya-Zhou Xing, Zhong-Min Yin, Hao Xue, Na Zhang
Pages: 339 - 354
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.
Keywords: underground sewage treatment pump; energy saving; automatic control
Citation: International Journal of Global Energy Issues, Vol. 42, No. 5/6 (2020) pp. 339 - 354
PubDate: 2020-11-12T23:20:50-05:00
DOI: 10.1504/IJGEI.2020.111183
Issue No: Vol. 42, No. 5/6 (2020)
- Feasibility model of urban residential buildings with
zero-energy-consuming using solar energy sources based on Laplace
transformation- Authors: Li Wang, Ge Cao
Pages: 355 - 374
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.
Keywords: Laplacian transformation; solar energy; urban housing; zero-energy-consuming; building; feasibility
Citation: International Journal of Global Energy Issues, Vol. 42, No. 5/6 (2020) pp. 355 - 374
PubDate: 2020-11-12T23:20:50-05:00
DOI: 10.1504/IJGEI.2020.111184
Issue No: Vol. 42, No. 5/6 (2020)
- Energy-saving feature extraction method for urban buildings with near-zero
energy-consuming based on SVR- Authors: Xiaoliang Li, Jinfeng Lu
Pages: 375 - 392
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.
Keywords: SVR; near-zero energy-consuming buildings in cities; energy-saving feature extraction; outlier point processing; abnormal data detection
Citation: International Journal of Global Energy Issues, Vol. 42, No. 5/6 (2020) pp. 375 - 392
PubDate: 2020-11-12T23:20:50-05:00
DOI: 10.1504/IJGEI.2020.111185
Issue No: Vol. 42, No. 5/6 (2020)
- Energy-saving optimisation method for green space planning of urban
gardens based on artificial bee colony algorithm- Authors: Qingfen Wang, Xinfa Zeng
Pages: 393 - 408
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.
Keywords: artificial bee colony algorithm; urban landscape architecture; green space planning; energy conservation effect
Citation: International Journal of Global Energy Issues, Vol. 42, No. 5/6 (2020) pp. 393 - 408
PubDate: 2020-11-12T23:20:50-05:00
DOI: 10.1504/IJGEI.2020.111186
Issue No: Vol. 42, No. 5/6 (2020)
- Study on energy conversion efficiency of biomass continuous carbonisation
in municipal domestic sewage based on filtration technology- Authors: Fan Yang, Junting Hao, Fang Liu
Pages: 409 - 424
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.
Keywords: filtration technology; municipal domestic sewage; biomass; carbonisation; energy conversion
Citation: International Journal of Global Energy Issues, Vol. 42, No. 5/6 (2020) pp. 409 - 424
PubDate: 2020-11-12T23:20:50-05:00
DOI: 10.1504/IJGEI.2020.111187
Issue No: Vol. 42, No. 5/6 (2020)
- Energy saving and emission reduction method for green transportation in
tourist cities based on grey correlation degree- Authors: Bohong Zheng, Jing Yang, Xiaolong Wen
Pages: 425 - 442
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.
Keywords: grey correlation degree; tourist city; green transportation; emission calculation model
Citation: International Journal of Global Energy Issues, Vol. 42, No. 5/6 (2020) pp. 425 - 442
PubDate: 2020-11-12T23:20:50-05:00
DOI: 10.1504/IJGEI.2020.111189
Issue No: Vol. 42, No. 5/6 (2020)
- Study on the energy-saving reconstruction method of the outer architecture
envelope of urban public architecture- Authors: Lanying Zhao, Huina Jia
Pages: 443 - 456
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.
Keywords: urban public architecture; outer architecture envelope; energy-saving reconstruction; clustering node
Citation: International Journal of Global Energy Issues, Vol. 42, No. 5/6 (2020) pp. 443 - 456
PubDate: 2020-11-12T23:20:50-05:00
DOI: 10.1504/IJGEI.2020.111197
Issue No: Vol. 42, No. 5/6 (2020)
- Design of building energy consumption monitoring model based on parallel
cloud computing- Authors: Lanying Zhao, Huina Jia
Pages: 457 - 469
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.
Keywords: building; energy consumption monitoring; parallel cloud computing mode
Citation: International Journal of Global Energy Issues, Vol. 42, No. 5/6 (2020) pp. 457 - 469
PubDate: 2020-11-12T23:20:50-05:00
DOI: 10.1504/IJGEI.2020.111174
Issue No: Vol. 42, No. 5/6 (2020)
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