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A review of urban energy systems at building cluster level incorporating renewable-energy-source (RES) envelope solutions

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  • Zhang, Xingxing
  • Lovati, Marco
  • Vigna, Ilaria
  • Widén, Joakim
  • Han, Mengjie
  • Gal, Csilla
  • Feng, Tao

Abstract

The emergence of renewable-energy-source (RES) envelope solutions, building retrofit requirements and advanced energy technologies brought about challenges to the existing paradigm of urban energy systems. It is envisioned that the building cluster approach—that can maximize the synergies of RES harvesting, building performance, and distributed energy management—will deliver the breakthrough to these challenges. Thus, this paper aims to critically review urban energy systems at the cluster level that incorporate building integrated RES solutions. We begin with defining cluster approach and the associated boundaries. Several factors influencing energy planning at cluster scale are identified, while the most important ones are discussed in detail. The closely reviewed factors include RES envelope solutions, solar energy potential, density of buildings, energy demand, integrated cluster-scale energy systems and energy hub. The examined categories of RES envelope solutions are (i) the solar power, (ii) the solar thermal and (iii) the energy-efficient ones, out of which solar energy is the most prevalent RES. As a result, methods assessing the solar energy potentials of building envelopes are reviewed in detail. Building density and the associated energy use are also identified as key factors since they affect the type and the energy harvesting potentials of RES envelopes. Modelling techniques for building energy demand at cluster level and their coupling with complex integrated energy systems or an energy hub are reviewed in a comprehensive way. In addition, the paper discusses control and operational methods as well as related optimization algorithms for the energy hub concept. Based on the findings of the review, we put forward a matrix of recommendations for cluster-level energy system simulations aiming to maximize the direct and indirect benefits of RES envelope solutions. By reviewing key factors and modelling approaches for characterizing RES-envelope-solutions-based urban energy systems at cluster level, this paper hopes to foster the transition towards more sustainable urban energy systems.

Suggested Citation

  • Zhang, Xingxing & Lovati, Marco & Vigna, Ilaria & Widén, Joakim & Han, Mengjie & Gal, Csilla & Feng, Tao, 2018. "A review of urban energy systems at building cluster level incorporating renewable-energy-source (RES) envelope solutions," Applied Energy, Elsevier, vol. 230(C), pages 1034-1056.
    • Handle: RePEc:eee:appene:v:230:y:2018:i:c:p:1034-1056
    DOI: 10.1016/j.apenergy.2018.09.041
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    as
    1. Protopapadaki, Christina & Saelens, Dirk, 2017. "Heat pump and PV impact on residential low-voltage distribution grids as a function of building and district properties," Applied Energy, Elsevier, vol. 192(C), pages 268-281.
    2. Zhang, Xingxing & Shen, Jingchun & Lu, Yan & He, Wei & Xu, Peng & Zhao, Xudong & Qiu, Zhongzhu & Zhu, Zishang & Zhou, Jinzhi & Dong, Xiaoqiang, 2015. "Active Solar Thermal Facades (ASTFs): From concept, application to research questions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 32-63.
    3. Joshi, Kirti Kusum & Kono, Tatsuhito, 2009. "Optimization of floor area ratio regulation in a growing city," Regional Science and Urban Economics, Elsevier, vol. 39(4), pages 502-511, July.
    4. López, Marlén & Rubio, Ramón & Martín, Santiago & Ben Croxford,, 2017. "How plants inspire façades. From plants to architecture: Biomimetic principles for the development of adaptive architectural envelopes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 692-703.
    5. Skarvelis-Kazakos, Spyros & Papadopoulos, Panagiotis & Grau Unda, Iñaki & Gorman, Terry & Belaidi, Abdelhafid & Zigan, Stefan, 2016. "Multiple energy carrier optimisation with intelligent agents," Applied Energy, Elsevier, vol. 167(C), pages 323-335.
    6. Yekang Ko & John D Radke, 2014. "The Effect of Urban Form and Residential Cooling Energy Use in Sacramento, California," Environment and Planning B, , vol. 41(4), pages 573-593, August.
    7. O'Shaughnessy, Eric & Cutler, Dylan & Ardani, Kristen & Margolis, Robert, 2018. "Solar plus: Optimization of distributed solar PV through battery storage and dispatchable load in residential buildings," Applied Energy, Elsevier, vol. 213(C), pages 11-21.
    8. Letellier-Duchesne, Samuel & Nagpal, Shreshth & Kummert, Michaël & Reinhart, Christoph, 2018. "Balancing demand and supply: Linking neighborhood-level building load calculations with detailed district energy network analysis models," Energy, Elsevier, vol. 150(C), pages 913-925.
    9. He, Jiang & Hoyano, Akira & Asawa, Takashi, 2009. "A numerical simulation tool for predicting the impact of outdoor thermal environment on building energy performance," Applied Energy, Elsevier, vol. 86(9), pages 1596-1605, September.
    10. Reid Ewing & Fang Rong, 2008. "The impact of urban form on U.S. residential energy use," Housing Policy Debate, Taylor & Francis Journals, vol. 19(1), pages 1-30, January.
    11. Schiavoni, S. & D׳Alessandro, F. & Bianchi, F. & Asdrubali, F., 2016. "Insulation materials for the building sector: A review and comparative analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 988-1011.
    12. Roldán-Blay, Carlos & Escrivá-Escrivá, Guillermo & Roldán-Porta, Carlos & Álvarez-Bel, Carlos, 2017. "An optimisation algorithm for distributed energy resources management in micro-scale energy hubs," Energy, Elsevier, vol. 132(C), pages 126-135.
    13. van der Meer, D.W. & Widén, J. & Munkhammar, J., 2018. "Review on probabilistic forecasting of photovoltaic power production and electricity consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1484-1512.
    14. Hu, Mengqi & Weir, Jeffery D. & Wu, Teresa, 2012. "Decentralized operation strategies for an integrated building energy system using a memetic algorithm," European Journal of Operational Research, Elsevier, vol. 217(1), pages 185-197.
    15. Alva, Guruprasad & Lin, Yaxue & Fang, Guiyin, 2018. "An overview of thermal energy storage systems," Energy, Elsevier, vol. 144(C), pages 341-378.
    16. O’Connor, Dominic & Calautit, John Kaiser S. & Hughes, Ben Richard, 2016. "A review of heat recovery technology for passive ventilation applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1481-1493.
    17. Moghaddam, Iman Gerami & Saniei, Mohsen & Mashhour, Elaheh, 2016. "A comprehensive model for self-scheduling an energy hub to supply cooling, heating and electrical demands of a building," Energy, Elsevier, vol. 94(C), pages 157-170.
    18. Shabanpour-Haghighi, Amin & Seifi, Ali Reza, 2015. "Multi-objective operation management of a multi-carrier energy system," Energy, Elsevier, vol. 88(C), pages 430-442.
    19. Guler, Burak & Çelebi, Emre & Nathwani, Jatin, 2018. "A ‘Regional Energy Hub’ for achieving a low-carbon energy transition," Energy Policy, Elsevier, vol. 113(C), pages 376-385.
    20. Kaza, Nikhil, 2010. "Understanding the spectrum of residential energy consumption: A quantile regression approach," Energy Policy, Elsevier, vol. 38(11), pages 6574-6585, November.
    21. Orehounig, Kristina & Evins, Ralph & Dorer, Viktor, 2015. "Integration of decentralized energy systems in neighbourhoods using the energy hub approach," Applied Energy, Elsevier, vol. 154(C), pages 277-289.
    22. Wang, Yi & Cheng, Jiangnan & Zhang, Ning & Kang, Chongqing, 2018. "Automatic and linearized modeling of energy hub and its flexibility analysis," Applied Energy, Elsevier, vol. 211(C), pages 705-714.
    23. Allegrini, Jonas & Orehounig, Kristina & Mavromatidis, Georgios & Ruesch, Florian & Dorer, Viktor & Evins, Ralph, 2015. "A review of modelling approaches and tools for the simulation of district-scale energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1391-1404.
    24. Ghaffarianhoseini, Ali & Ghaffarianhoseini, Amirhosein & Berardi, Umberto & Tookey, John & Li, Danny Hin Wa & Kariminia, Shahab, 2016. "Exploring the advantages and challenges of double-skin façades (DSFs)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1052-1065.
    25. Davatgaran, Vahid & Saniei, Mohsen & Mortazavi, Seyed Saeidollah, 2018. "Optimal bidding strategy for an energy hub in energy market," Energy, Elsevier, vol. 148(C), pages 482-493.
    26. Wu, Raphael & Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2017. "Multiobjective optimisation of energy systems and building envelope retrofit in a residential community," Applied Energy, Elsevier, vol. 190(C), pages 634-649.
    27. Shepero, Mahmoud & Munkhammar, Joakim & Widén, Joakim & Bishop, Justin D.K. & Boström, Tobias, 2018. "Modeling of photovoltaic power generation and electric vehicles charging on city-scale: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 61-71.
    28. Debbarma, Mary & Sudhakar, K. & Baredar, Prashant, 2017. "Thermal modeling, exergy analysis, performance of BIPV and BIPVT: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1276-1288.
    29. Li, Qiong & Meng, Qinglin & Cai, Jiejin & Yoshino, Hiroshi & Mochida, Akashi, 2009. "Applying support vector machine to predict hourly cooling load in the building," Applied Energy, Elsevier, vol. 86(10), pages 2249-2256, October.
    30. Hafez, Omar & Bhattacharya, Kankar, 2017. "Optimal design of electric vehicle charging stations considering various energy resources," Renewable Energy, Elsevier, vol. 107(C), pages 576-589.
    31. Andrius Jurelionis & Demetri G. Bouris, 2016. "Impact of Urban Morphology on Infiltration-Induced Building Energy Consumption," Energies, MDPI, vol. 9(3), pages 1-13, March.
    32. Beigvand, Soheil Derafshi & Abdi, Hamdi & La Scala, Massimo, 2017. "A general model for energy hub economic dispatch," Applied Energy, Elsevier, vol. 190(C), pages 1090-1111.
    33. Howell, Shaun & Rezgui, Yacine & Hippolyte, Jean-Laurent & Jayan, Bejay & Li, Haijiang, 2017. "Towards the next generation of smart grids: Semantic and holonic multi-agent management of distributed energy resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 193-214.
    34. Barr, Jason & Cohen, Jeffrey P., 2014. "The floor area ratio gradient: New York City, 1890–2009," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 110-119.
    35. Chen, Yixing & Hong, Tianzhen & Piette, Mary Ann, 2017. "Automatic generation and simulation of urban building energy models based on city datasets for city-scale building retrofit analysis," Applied Energy, Elsevier, vol. 205(C), pages 323-335.
    36. Wu, Qiong & Ren, Hongbo & Gao, Weijun & Weng, Peifen & Ren, Jianxing, 2018. "Coupling optimization of urban spatial structure and neighborhood-scale distributed energy systems," Energy, Elsevier, vol. 144(C), pages 472-481.
    37. Frayssinet, Loïc & Merlier, Lucie & Kuznik, Frédéric & Hubert, Jean-Luc & Milliez, Maya & Roux, Jean-Jacques, 2018. "Modeling the heating and cooling energy demand of urban buildings at city scale," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2318-2327.
    38. Poppi, Stefano & Sommerfeldt, Nelson & Bales, Chris & Madani, Hatef & Lundqvist, Per, 2018. "Techno-economic review of solar heat pump systems for residential heating applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 22-32.
    39. Fonseca, Jimeno A. & Schlueter, Arno, 2015. "Integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts," Applied Energy, Elsevier, vol. 142(C), pages 247-265.
    40. Widén, Joakim & Carpman, Nicole & Castellucci, Valeria & Lingfors, David & Olauson, Jon & Remouit, Flore & Bergkvist, Mikael & Grabbe, Mårten & Waters, Rafael, 2015. "Variability assessment and forecasting of renewables: A review for solar, wind, wave and tidal resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 356-375.
    41. Loonen, R.C.G.M. & Trčka, M. & Cóstola, D. & Hensen, J.L.M., 2013. "Climate adaptive building shells: State-of-the-art and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 483-493.
    42. Mohammadi, Mohammad & Noorollahi, Younes & Mohammadi-ivatloo, Behnam & Hosseinzadeh, Mehdi & Yousefi, Hossein & Khorasani, Sasan Torabzadeh, 2018. "Optimal management of energy hubs and smart energy hubs – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 33-50.
    43. Richard Harris & Ron Johnston, 2003. "Spatial Scale and Neighbourhood Regeneration in England: A Case Study of Avon," Environment and Planning C, , vol. 21(5), pages 651-662, October.
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