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Weather and climate data for energy applications

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  • Amin, Amin
  • Mourshed, Monjur

Abstract

Weather information plays a critical role in energy applications — from designing and planning to the management and maintenance of building energy systems, renewable energy applications, and smart utility grids. This research examines weather and climate data for energy applications, covering their sources, generation, implementation, and forecasting. Drivers for the use of weather data, data acquisition methods, and parameter characteristics, as well as their impact on energy applications, are critically reviewed. The study also analyses weather data availability from 32 commonly used online sources, considering their cost, features, and resolution. A comprehensive weather data classification is developed based on measurement type, information period, data resolution, and time horizon. The findings indicate that real-time local weather data with high temporal resolution is crucial for optimal energy management and accurate forecasting of energy and environmental behaviours. However, limitations and uncertainties exist in weather data from online sources, particularly for developing countries, due to the limited spatio-temporal coverage.

Suggested Citation

  • Amin, Amin & Mourshed, Monjur, 2024. "Weather and climate data for energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:rensus:v:192:y:2024:i:c:s136403212301105x
    DOI: 10.1016/j.rser.2023.114247
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    as
    1. Mourshed, Monjur, 2011. "The impact of the projected changes in temperature on heating and cooling requirements in buildings in Dhaka, Bangladesh," Applied Energy, Elsevier, vol. 88(11), pages 3737-3746.
    2. Jentsch, Mark F. & James, Patrick A.B. & Bourikas, Leonidas & Bahaj, AbuBakr S., 2013. "Transforming existing weather data for worldwide locations to enable energy and building performance simulation under future climates," Renewable Energy, Elsevier, vol. 55(C), pages 514-524.
    3. Yang, H.X. & Lu, L. & Burnett, J., 2003. "Weather data and probability analysis of hybrid photovoltaic–wind power generation systems in Hong Kong," Renewable Energy, Elsevier, vol. 28(11), pages 1813-1824.
    4. Al-Yahyai, Sultan & Charabi, Yassine & Gastli, Adel, 2010. "Review of the use of Numerical Weather Prediction (NWP) Models for wind energy assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3192-3198, December.
    5. Cui, Ying & Yan, Da & Hong, Tianzhen & Xiao, Chan & Luo, Xuan & Zhang, Qi, 2017. "Comparison of typical year and multiyear building simulations using a 55-year actual weather data set from China," Applied Energy, Elsevier, vol. 195(C), pages 890-904.
    6. Smarra, Francesco & Jain, Achin & de Rubeis, Tullio & Ambrosini, Dario & D’Innocenzo, Alessandro & Mangharam, Rahul, 2018. "Data-driven model predictive control using random forests for building energy optimization and climate control," Applied Energy, Elsevier, vol. 226(C), pages 1252-1272.
    7. Hong, Tianzhen & Chang, Wen-Kuei & Lin, Hung-Wen, 2013. "A fresh look at weather impact on peak electricity demand and energy use of buildings using 30-year actual weather data," Applied Energy, Elsevier, vol. 111(C), pages 333-350.
    8. Wachsmuth, J. & Blohm, A. & Gößling-Reisemann, S. & Eickemeier, T. & Ruth, M. & Gasper, R. & Stührmann, S., 2013. "How will renewable power generation be affected by climate change? The case of a Metropolitan Region in Northwest Germany," Energy, Elsevier, vol. 58(C), pages 192-201.
    9. Amin, Amin & Kem, Oudom & Gallegos, Pablo & Chervet, Philipp & Ksontini, Feirouz & Mourshed, Monjur, 2022. "Demand response in buildings: Unlocking energy flexibility through district-level electro-thermal simulation," Applied Energy, Elsevier, vol. 305(C).
    10. Roulston, M.S. & Kaplan, D.T. & Hardenberg, J. & Smith, L.A., 2003. "Using medium-range weather forcasts to improve the value of wind energy production," Renewable Energy, Elsevier, vol. 28(4), pages 585-602.
    11. Wan, Kevin K.W. & Li, Danny H.W. & Pan, Wenyan & Lam, Joseph C., 2012. "Impact of climate change on building energy use in different climate zones and mitigation and adaptation implications," Applied Energy, Elsevier, vol. 97(C), pages 274-282.
    12. Oldewurtel, Frauke & Sturzenegger, David & Morari, Manfred, 2013. "Importance of occupancy information for building climate control," Applied Energy, Elsevier, vol. 101(C), pages 521-532.
    13. Zhou, Kaile & Fu, Chao & Yang, Shanlin, 2016. "Big data driven smart energy management: From big data to big insights," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 215-225.
    14. Mourshed, Monjur, 2016. "Climatic parameters for building energy applications: A temporal-geospatial assessment of temperature indicators," Renewable Energy, Elsevier, vol. 94(C), pages 55-71.
    15. Ma, Wei Wu & Rasul, M.G. & Liu, Gang & Li, Min & Tan, Xiao Hui, 2016. "Climate change impacts on techno-economic performance of roof PV solar system in Australia," Renewable Energy, Elsevier, vol. 88(C), pages 430-438.
    16. Kočí, Jan & Kočí, Václav & Maděra, Jiří & Černý, Robert, 2019. "Effect of applied weather data sets in simulation of building energy demands: Comparison of design years with recent weather data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 22-32.
    17. Geelen, Daphne & Reinders, Angèle & Keyson, David, 2013. "Empowering the end-user in smart grids: Recommendations for the design of products and services," Energy Policy, Elsevier, vol. 61(C), pages 151-161.
    18. Guo, Siyue & Yan, Da & Hong, Tianzhen & Xiao, Chan & Cui, Ying, 2019. "A novel approach for selecting typical hot-year (THY) weather data," Applied Energy, Elsevier, vol. 242(C), pages 1634-1648.
    19. Wenliang Li, 2020. "Quantifying the Building Energy Dynamics of Manhattan, New York City, Using an Urban Building Energy Model and Localized Weather Data," Energies, MDPI, vol. 13(12), pages 1-22, June.
    20. Shaikh, Pervez Hameed & Nor, Nursyarizal Bin Mohd & Nallagownden, Perumal & Elamvazuthi, Irraivan & Ibrahim, Taib, 2014. "A review on optimized control systems for building energy and comfort management of smart sustainable buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 409-429.
    21. Klein, Daniel R. & Olonscheck, Mady & Walther, Carsten & Kropp, Jürgen P., 2013. "Susceptibility of the European electricity sector to climate change," Energy, Elsevier, vol. 59(C), pages 183-193.
    22. Troup, Luke & Eckelman, Matthew J. & Fannon, David, 2019. "Simulating future energy consumption in office buildings using an ensemble of morphed climate data," Applied Energy, Elsevier, vol. 255(C).
    23. Eva Lucas Segarra & Germán Ramos Ruiz & Vicente Gutiérrez González & Antonis Peppas & Carlos Fernández Bandera, 2020. "Impact Assessment for Building Energy Models Using Observed vs. Third-Party Weather Data Sets," Sustainability, MDPI, vol. 12(17), pages 1-27, August.
    24. Radhi, Hassan, 2009. "A comparison of the accuracy of building energy analysis in Bahrain using data from different weather periods," Renewable Energy, Elsevier, vol. 34(3), pages 869-875.
    25. Moreno-Munoz, A. & Bellido-Outeirino, F.J. & Siano, P. & Gomez-Nieto, M.A., 2016. "Mobile social media for smart grids customer engagement: Emerging trends and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1611-1616.
    26. Moazami, Amin & Nik, Vahid M. & Carlucci, Salvatore & Geving, Stig, 2019. "Impacts of future weather data typology on building energy performance – Investigating long-term patterns of climate change and extreme weather conditions," Applied Energy, Elsevier, vol. 238(C), pages 696-720.
    27. Ghazi, Sanaz & Ip, Kenneth, 2014. "The effect of weather conditions on the efficiency of PV panels in the southeast of UK," Renewable Energy, Elsevier, vol. 69(C), pages 50-59.
    28. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    29. Dirks, James A. & Gorrissen, Willy J. & Hathaway, John H. & Skorski, Daniel C. & Scott, Michael J. & Pulsipher, Trenton C. & Huang, Maoyi & Liu, Ying & Rice, Jennie S., 2015. "Impacts of climate change on energy consumption and peak demand in buildings: A detailed regional approach," Energy, Elsevier, vol. 79(C), pages 20-32.
    30. Khan, Ahsan Raza & Mahmood, Anzar & Safdar, Awais & Khan, Zafar A. & Khan, Naveed Ahmed, 2016. "Load forecasting, dynamic pricing and DSM in smart grid: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1311-1322.
    31. A. T. D. Perera & Vahid M. Nik & Deliang Chen & Jean-Louis Scartezzini & Tianzhen Hong, 2020. "Quantifying the impacts of climate change and extreme climate events on energy systems," Nature Energy, Nature, vol. 5(2), pages 150-159, February.
    32. Vladislavleva, Ekaterina & Friedrich, Tobias & Neumann, Frank & Wagner, Markus, 2013. "Predicting the energy output of wind farms based on weather data: Important variables and their correlation," Renewable Energy, Elsevier, vol. 50(C), pages 236-243.
    33. Jufri, Fauzan Hanif & Widiputra, Victor & Jung, Jaesung, 2019. "State-of-the-art review on power grid resilience to extreme weather events: Definitions, frameworks, quantitative assessment methodologies, and enhancement strategies," Applied Energy, Elsevier, vol. 239(C), pages 1049-1065.
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