IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v203y2017icp57-71.html
   My bibliography  Save this article

Modelling of AQI related to building space heating energy demand based on big data analytics

Author

Listed:
  • Li, Han
  • You, Shijun
  • Zhang, Huan
  • Zheng, Wandong
  • Zheng, Xuejing
  • Jia, Jie
  • Ye, Tianzhen
  • Zou, Lanjun

Abstract

According to the annual air quality report released by the Ministry of Environmental Protection of China, the cities that requiring heating reported an average of 168.3days that could not reach the air quality standard, which was 59.8% higher than warm cities that did not require heating in 2014. Coal-fired energy conversion for building space heating can generate a large amount of haze pollutions during the winter. More seriously, the year-by-year data of district heating capacity increases with an average growth rate of 5.59% published in the China Statistical Yearbook, which means more and more heating associated pollutants will emit into the atmosphere and result in the worse and worse environment quality predictability in the further without taking any effective measure. In this context, considering the factors of energy, environment and human health simultaneously, this paper aimed to develop an air quality index (AQI) associated with energy conversion for building space heating model to guide the energy-saving measures on heating. Principal component analysis and grey relation projection evaluation theory approaches were used to preprocess the historical AQI data. Moreover, a simplified two-dimensionality heating capacity model based on EnergyPlus simulation results was introduced to expand the application range of the AQI-Heating (A-H) model. The A-H model included three components, which were the direct pollutant emission, regenerated pollutant emission and urban self-purifying capacity. Four pollutants related input coefficients including the direct emission factor A, the urban maximum purifying capacity a, the attenuation coefficient b and the regenerated coefficient ξ were solved by homemade code based on Matlab software according to a 10-year observed data (2003–2015). The performance of A-H model was compared with the actual values (data from 2015 to 2016) and the results of conventional linear and nonlinear regression techniques, in terms of the index of mean absolute error (MAE), mean absolute percentage error (MAPE), root-mean-squared error (RMSE) and index of agreement (IA). All performance metrics proved that the A-H model was accurate enough (e.g. IA=0.983) to analyze the relationship between the AQI and the energy conversion for building space heating.

Suggested Citation

  • Li, Han & You, Shijun & Zhang, Huan & Zheng, Wandong & Zheng, Xuejing & Jia, Jie & Ye, Tianzhen & Zou, Lanjun, 2017. "Modelling of AQI related to building space heating energy demand based on big data analytics," Applied Energy, Elsevier, vol. 203(C), pages 57-71.
    • Handle: RePEc:eee:appene:v:203:y:2017:i:c:p:57-71
    DOI: 10.1016/j.apenergy.2017.06.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917307523
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2017.06.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard Barry & Tong, Zheming, 2016. "Energy Saving Potential of Natural Ventilation in China: The Impact of Ambient Air Pollution," Scholarly Articles 27733689, Harvard University Department of Economics.
    2. Elagib, N.a. & Alvi, S.H. & Mansell, M.G., 1999. "Correlationships between clearness index and relative sunshine duration for Sudan," Renewable Energy, Elsevier, vol. 17(4), pages 473-498.
    3. Dong, Huijuan & Dai, Hancheng & Dong, Liang & Fujita, Tsuyoshi & Geng, Yong & Klimont, Zbigniew & Inoue, Tsuyoshi & Bunya, Shintaro & Fujii, Minoru & Masui, Toshihiko, 2015. "Pursuing air pollutant co-benefits of CO2 mitigation in China: A provincial leveled analysis," Applied Energy, Elsevier, vol. 144(C), pages 165-174.
    4. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    5. Tong, Zheming & Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard B., 2016. "Energy saving potential of natural ventilation in China: The impact of ambient air pollution," Applied Energy, Elsevier, vol. 179(C), pages 660-668.
    6. Zheng, Guozhong & Jing, Youyin & Huang, Hongxia & Gao, Yuefen, 2010. "Application of improved grey relational projection method to evaluate sustainable building envelope performance," Applied Energy, Elsevier, vol. 87(2), pages 710-720, February.
    7. Bianchini, Gianni & Casini, Marco & Vicino, Antonio & Zarrilli, Donato, 2016. "Demand-response in building heating systems: A Model Predictive Control approach," Applied Energy, Elsevier, vol. 168(C), pages 159-170.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sorrentino, Marco & Bruno, Marco & Trifirò, Alena & Rizzo, Gianfranco, 2019. "An innovative energy efficiency metric for data analytics and diagnostics in telecommunication applications," Applied Energy, Elsevier, vol. 242(C), pages 1539-1548.
    2. Xuan Yang & Yue Wang & Di Chen & Xue Tan & Xue Tian & Lei Shi, 2021. "Does the “Blue Sky Defense War Policy” Paint the Sky Blue?—A Case Study of Beijing–Tianjin–Hebei Region, China," IJERPH, MDPI, vol. 18(23), pages 1-25, November.
    3. Fan, Man & Liang, Hongbo & You, Shijun & Zhang, Huan & Yin, Baoquan & Wu, Xiaoting, 2018. "Applicability analysis of the solar heating system with parabolic trough solar collectors in different regions of China," Applied Energy, Elsevier, vol. 221(C), pages 100-111.
    4. Natasha Frilingou & Demetri Bouris, 2020. "Effects of Building Energy Efficiency Measures on Air Quality at the Neighborhood Level in Athens, Greece," Energies, MDPI, vol. 13(21), pages 1-23, October.
    5. Ning Xu & Fan Zhang & Xin Xuan, 2021. "Impacts of Industrial Restructuring and Technological Progress on PM 2.5 Pollution: Evidence from Prefecture-Level Cities in China," IJERPH, MDPI, vol. 18(10), pages 1-17, May.
    6. Li, Yang & Wang, Jinlong & Zhao, Dongbo & Li, Guoqing & Chen, Chen, 2018. "A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making," Energy, Elsevier, vol. 162(C), pages 237-254.
    7. Wang, Lu & Yuan, JianJuan & Qiao, Xu & Kong, Xiangfei, 2023. "Optimal rule based double predictive control for the management of thermal energy in a distributed clean heating system," Renewable Energy, Elsevier, vol. 215(C).
    8. Krzysztof Nowak & Sławomir Rabczak, 2020. "Technical and Economic Analysis of the External Surface Heating System on the Example of a Car Park," Energies, MDPI, vol. 13(24), pages 1-15, December.
    9. Van-Hai Bui & Akhtar Hussain & Hak-Man Kim & Yong-Hoon Im, 2018. "Optimal Energy Management of Building Microgrid Networks in Islanded Mode Considering Adjustable Power and Component Outages," Energies, MDPI, vol. 11(9), pages 1-22, September.
    10. Li, Han & Li, Jinchao & Kong, Xiangfei & Long, Hao & Yang, Hua & Yao, Chengqiang, 2020. "A novel solar thermal system combining with active phase-change material heat storage wall (STS-APHSW): Dynamic model, validation and thermal performance," Energy, Elsevier, vol. 201(C).
    11. Yani Bao & Wai Ling Lee & Jie Jia, 2018. "Exergy Analyses and Modelling of a Novel Extra-Low Temperature Dedicated Outdoor Air System," Energies, MDPI, vol. 11(5), pages 1-25, May.
    12. Qingchen Liu & Xinyi Li & Tao Liu & Xiaojun Zhao, 2020. "Spatio-Temporal Correlation Analysis of Air Quality in China: Evidence from Provincial Capitals Data," Sustainability, MDPI, vol. 12(6), pages 1-21, March.
    13. Li, Han & Fu, Zheng & Xi, Chang & Li, Nana & Li, Wei & Kong, Xiangfei, 2022. "Study on the impact of parallel jet spacing on the performance of multi-jet stratum ventilation," Applied Energy, Elsevier, vol. 306(PB).
    14. Chen, Jing & Zhou, Chunshan & Wang, Shaojian & Li, Shijie, 2018. "Impacts of energy consumption structure, energy intensity, economic growth, urbanization on PM2.5 concentrations in countries globally," Applied Energy, Elsevier, vol. 230(C), pages 94-105.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peter Rafaj & Markus Amann, 2018. "Decomposing Air Pollutant Emissions in Asia: Determinants and Projections," Energies, MDPI, vol. 11(5), pages 1-14, May.
    2. Zhang, Shaohui & Guo, Qinxin & Smyth, Russell & Yao, Yao, 2022. "Extreme temperatures and residential electricity consumption: Evidence from Chinese households," Energy Economics, Elsevier, vol. 107(C).
    3. Costanzo, Vincenzo & Yao, Runming & Xu, Tiantian & Xiong, Jie & Zhang, Qiulei & Li, Baizhan, 2019. "Natural ventilation potential for residential buildings in a densely built-up and highly polluted environment. A case study," Renewable Energy, Elsevier, vol. 138(C), pages 340-353.
    4. Boya Zhou & Shaojun Zhang & Ye Wu & Wenwei Ke & Xiaoyi He & Jiming Hao, 2018. "Energy-saving benefits from plug-in hybrid electric vehicles: perspectives based on real-world measurements," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(5), pages 735-756, June.
    5. Liwei Wen & Kyosuke Hiyama, 2018. "Target Air Change Rate and Natural Ventilation Potential Maps for Assisting with Natural Ventilation Design During Early Design Stage in China," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    6. Wei Xue & Qingming Zhan & Qi Zhang & Zhonghua Wu, 2019. "Spatiotemporal Variations of Particulate and Gaseous Pollutants and Their Relations to Meteorological Parameters: The Case of Xiangyang, China," IJERPH, MDPI, vol. 17(1), pages 1-23, December.
    7. Martins, Nuno R. & Carrilho da Graça, Guilherme, 2017. "Impact of outdoor PM2.5 on natural ventilation usability in California’s nondomestic buildings," Applied Energy, Elsevier, vol. 189(C), pages 711-724.
    8. He, Yueer & Liu, Meng & Kvan, Thomas & Peng, Shini, 2017. "An enthalpy-based energy savings estimation method targeting thermal comfort level in naturally ventilated buildings in hot-humid summer zones," Applied Energy, Elsevier, vol. 187(C), pages 717-731.
    9. Payam Nejat & Fatemeh Jomehzadeh & Hasanen Mohammed Hussen & John Kaiser Calautit & Muhd Zaimi Abd Majid, 2018. "Application of Wind as a Renewable Energy Source for Passive Cooling through Windcatchers Integrated with Wing Walls," Energies, MDPI, vol. 11(10), pages 1-23, September.
    10. Qing He & Haiyang Zhao & Lin Shen & Liuqun Dong & Ye Cheng & Ke Xu, 2019. "Factors Influencing Residents’ Intention toward Green Retrofitting of Existing Residential Buildings," Sustainability, MDPI, vol. 11(15), pages 1-23, August.
    11. Ádám László Katona & Huang Xuan & Sara Elhadad & István Kistelegdi & István Háber, 2020. "High-Resolution CFD and In-Situ Monitoring Based Validation of an Industrial Passive Air Conduction System (PACS)," Energies, MDPI, vol. 13(12), pages 1-23, June.
    12. Bo Hong & Hongqiao Qin & Runsheng Jiang & Min Xu & Jiaqi Niu, 2018. "How Outdoor Trees Affect Indoor Particulate Matter Dispersion: CFD Simulations in a Naturally Ventilated Auditorium," IJERPH, MDPI, vol. 15(12), pages 1-21, December.
    13. Ahmed, Tariq & Kumar, Prashant & Mottet, Laetitia, 2021. "Natural ventilation in warm climates: The challenges of thermal comfort, heatwave resilience and indoor air quality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    14. Wang, C. & Zhu, Y. & Qu, J. & Hu, H.D., 2018. "Automatic air temperature control in a container with an optic-variable wall," Applied Energy, Elsevier, vol. 224(C), pages 671-681.
    15. Hiroshi Mori & Tetsu Kubota & I Gusti Ngurah Antaryama & Sri Nastiti N. Ekasiwi, 2020. "Analysis of Window-Opening Patterns and Air Conditioning Usage of Urban Residences in Tropical Southeast Asia," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    16. Alberto Meiss & Miguel A. Padilla-Marcos & Jesús Feijó-Muñoz, 2017. "Methodology Applied to the Evaluation of Natural Ventilation in Residential Building Retrofits: A Case Study," Energies, MDPI, vol. 10(4), pages 1-19, April.
    17. Bin Qian & Tao Yu & Haiquan Bi & Bo Lei, 2019. "Measurements of Energy Consumption and Environment Quality of High-Speed Railway Stations in China," Energies, MDPI, vol. 13(1), pages 1-22, December.
    18. Chen, Jianli & Brager, Gail S. & Augenbroe, Godfried & Song, Xinyi, 2019. "Impact of outdoor air quality on the natural ventilation usage of commercial buildings in the US," Applied Energy, Elsevier, vol. 235(C), pages 673-684.
    19. Tong, Zheming & Chen, Yujiao & Malkawi, Ali, 2016. "Defining the Influence Region in neighborhood-scale CFD simulations for natural ventilation design," Applied Energy, Elsevier, vol. 182(C), pages 625-633.
    20. Chen, Yujiao & Tong, Zheming & Wu, Wentao & Samuelson, Holly & Malkawi, Ali & Norford, Leslie, 2019. "Achieving natural ventilation potential in practice: Control schemes and levels of automation," Applied Energy, Elsevier, vol. 235(C), pages 1141-1152.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:203:y:2017:i:c:p:57-71. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.