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Interactive Buildings: A Review

Author

Listed:
  • Zahra Fallahi

    (Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder, Boulder, CO 80309, USA
    These authors contributed equally to this work.)

  • Gregor P. Henze

    (Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder, Boulder, CO 80309, USA
    National Renewable Energy Laboratory, Golden, CO 80401, USA
    These authors contributed equally to this work.)

Abstract

Buildings are widely regarded as potential sources for demand flexibility. The flexibility of thermal and electric load in buildings is a result of their interactive nature and its impact on the building’s performance. In this paper, the interaction of a building with the three interaction counterparts of the physical environment, civil infrastructure networks and other buildings is investigated. The literature review presents a wide variety of pathways of interaction and their associated potential impacts on building performance metrics such as net energy use, emissions, occupant comfort and operational cost. It is demonstrated that all of these counterparts of interaction should be considered to harness the flexibility potential of the buildings while maintaining other buildings performance metrics at a desired level. Juxtaposed with the upside potential for providing demand flexibility, numerous implementation challenges are identified that are associated with the evaluation and financial valuation of the capacity for demand flexibility, the aggregated flexibility potential, as well as the control and communication to facilitate the interactions.

Suggested Citation

  • Zahra Fallahi & Gregor P. Henze, 2019. "Interactive Buildings: A Review," Sustainability, MDPI, vol. 11(14), pages 1-26, July.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:14:p:3988-:d:250880
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    1. Junker, Rune Grønborg & Azar, Armin Ghasem & Lopes, Rui Amaral & Lindberg, Karen Byskov & Reynders, Glenn & Relan, Rishi & Madsen, Henrik, 2018. "Characterizing the energy flexibility of buildings and districts," Applied Energy, Elsevier, vol. 225(C), pages 175-182.
    2. Sameti, Mohammad & Haghighat, Fariborz, 2018. "Integration of distributed energy storage into net-zero energy district systems: Optimum design and operation," Energy, Elsevier, vol. 153(C), pages 575-591.
    3. Heinen, Steve & Burke, Daniel & O'Malley, Mark, 2016. "Electricity, gas, heat integration via residential hybrid heating technologies – An investment model assessment," Energy, Elsevier, vol. 109(C), pages 906-919.
    4. Johra, Hicham & Filonenko, Konstantin & Heiselberg, Per & Veje, Christian & Dall’Olio, Stefano & Engelbrecht, Kurt & Bahl, Christian, 2019. "Integration of a magnetocaloric heat pump in an energy flexible residential building," Renewable Energy, Elsevier, vol. 136(C), pages 115-126.
    5. Kazmi, Hussain & Mehmood, Fahad & Lodeweyckx, Stefan & Driesen, Johan, 2018. "Gigawatt-hour scale savings on a budget of zero: Deep reinforcement learning based optimal control of hot water systems," Energy, Elsevier, vol. 144(C), pages 159-168.
    6. Tang, Rui & Wang, Shengwei, 2019. "Model predictive control for thermal energy storage and thermal comfort optimization of building demand response in smart grids," Applied Energy, Elsevier, vol. 242(C), pages 873-882.
    7. Meggers, Forrest & Ritter, Volker & Goffin, Philippe & Baetschmann, Marc & Leibundgut, Hansjürg, 2012. "Low exergy building systems implementation," Energy, Elsevier, vol. 41(1), pages 48-55.
    8. Buffa, Simone & Cozzini, Marco & D’Antoni, Matteo & Baratieri, Marco & Fedrizzi, Roberto, 2019. "5th generation district heating and cooling systems: A review of existing cases in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 504-522.
    9. Luthander, Rasmus & Widén, Joakim & Nilsson, Daniel & Palm, Jenny, 2015. "Photovoltaic self-consumption in buildings: A review," Applied Energy, Elsevier, vol. 142(C), pages 80-94.
    10. Gao, Jiajia & Li, Anbang & Xu, Xinhua & Gang, Wenjie & Yan, Tian, 2018. "Ground heat exchangers: Applications, technology integration and potentials for zero energy buildings," Renewable Energy, Elsevier, vol. 128(PA), pages 337-349.
    11. Huang, Pei & Fan, Cheng & Zhang, Xingxing & Wang, Jiayuan, 2019. "A hierarchical coordinated demand response control for buildings with improved performances at building group," Applied Energy, Elsevier, vol. 242(C), pages 684-694.
    12. Zhang, Lingxi & Good, Nicholas & Mancarella, Pierluigi, 2019. "Building-to-grid flexibility: Modelling and assessment metrics for residential demand response from heat pump aggregations," Applied Energy, Elsevier, vol. 233, pages 709-723.
    13. Ferrari, Simone & Zagarella, Federica & Caputo, Paola & D'Amico, Antonino, 2019. "Results of a literature review on methods for estimating buildings energy demand at district level," Energy, Elsevier, vol. 175(C), pages 1130-1137.
    14. Shariatzadeh, Farshid & Mandal, Paras & Srivastava, Anurag K., 2015. "Demand response for sustainable energy systems: A review, application and implementation strategy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 343-350.
    15. Pang, Zhihong & O'Neill, Zheng, 2018. "Uncertainty quantification and sensitivity analysis of the domestic hot water usage in hotels," Applied Energy, Elsevier, vol. 232(C), pages 424-442.
    16. Roberts, Mike B. & Bruce, Anna & MacGill, Iain, 2019. "Impact of shared battery energy storage systems on photovoltaic self-consumption and electricity bills in apartment buildings," Applied Energy, Elsevier, vol. 245(C), pages 78-95.
    17. Wang, Wei & Hong, Tianzhen & Xu, Xiaodong & Chen, Jiayu & Liu, Ziang & Xu, Ning, 2019. "Forecasting district-scale energy dynamics through integrating building network and long short-term memory learning algorithm," Applied Energy, Elsevier, vol. 248(C), pages 217-230.
    18. Hamed, Tareq Abu & Alshare, Aiman & El-Khalil, Hossam, 2019. "Passive cooling of building-integrated photovolatics in desert conditions: Experiment and modeling," Energy, Elsevier, vol. 170(C), pages 131-138.
    19. Panchabikesan, Karthik & Vellaisamy, Kumaresan & Ramalingam, Velraj, 2017. "Passive cooling potential in buildings under various climatic conditions in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1236-1252.
    20. Nielsen, Steffen & Möller, Bernd, 2012. "Excess heat production of future net zero energy buildings within district heating areas in Denmark," Energy, Elsevier, vol. 48(1), pages 23-31.
    21. Vanaga, Ruta & Blumberga, Andra & Freimanis, Ritvars & Mols, Toms & Blumberga, Dagnija, 2018. "Solar facade module for nearly zero energy building," Energy, Elsevier, vol. 157(C), pages 1025-1034.
    22. Zarin Pass, R. & Wetter, M. & Piette, M.A., 2018. "A thermodynamic analysis of a novel bidirectional district heating and cooling network," Energy, Elsevier, vol. 144(C), pages 20-30.
    23. Clauß, John & Stinner, Sebastian & Sartori, Igor & Georges, Laurent, 2019. "Predictive rule-based control to activate the energy flexibility of Norwegian residential buildings: Case of an air-source heat pump and direct electric heating," Applied Energy, Elsevier, vol. 237(C), pages 500-518.
    24. Rodríguez-Hidalgo, M.C. & Rodríguez-Aumente, P.A. & Lecuona, A. & Legrand, M. & Ventas, R., 2012. "Domestic hot water consumption vs. solar thermal energy storage: The optimum size of the storage tank," Applied Energy, Elsevier, vol. 97(C), pages 897-906.
    25. Hedegaard, Rasmus Elbæk & Kristensen, Martin Heine & Pedersen, Theis Heidmann & Brun, Adam & Petersen, Steffen, 2019. "Bottom-up modelling methodology for urban-scale analysis of residential space heating demand response," Applied Energy, Elsevier, vol. 242(C), pages 181-204.
    26. Fischer, David & Wolf, Tobias & Wapler, Jeannette & Hollinger, Raphael & Madani, Hatef, 2017. "Model-based flexibility assessment of a residential heat pump pool," Energy, Elsevier, vol. 118(C), pages 853-864.
    27. Carreiro, Andreia M. & Jorge, Humberto M. & Antunes, Carlos Henggeler, 2017. "Energy management systems aggregators: A literature survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1160-1172.
    28. Lizana, Jesus & Friedrich, Daniel & Renaldi, Renaldi & Chacartegui, Ricardo, 2018. "Energy flexible building through smart demand-side management and latent heat storage," Applied Energy, Elsevier, vol. 230(C), pages 471-485.
    29. Liu, Zhijian & Li, Yuanwei & Xu, Wei & Yin, Hang & Gao, Jun & Jin, Guangya & Lun, Liyong & Jin, Guohui, 2019. "Performance and feasibility study of hybrid ground source heat pump system assisted with cooling tower for one office building based on one Shanghai case," Energy, Elsevier, vol. 173(C), pages 28-37.
    30. Pavlak, Gregory S. & Henze, Gregor P. & Cushing, Vincent J., 2015. "Evaluating synergistic effect of optimally controlling commercial building thermal mass portfolios," Energy, Elsevier, vol. 84(C), pages 161-176.
    31. Baloch, Ashfaque Ahmed & Shaikh, Pervez Hameed & Shaikh, Faheemullah & Leghari, Zohaib Hussain & Mirjat, Nayyar Hussain & Uqaili, Muhammad Aslam, 2018. "Simulation tools application for artificial lighting in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3007-3026.
    32. Rezaie, Behnaz & Rosen, Marc A., 2012. "District heating and cooling: Review of technology and potential enhancements," Applied Energy, Elsevier, vol. 93(C), pages 2-10.
    33. Taveres-Cachat, Ellika & Lobaccaro, Gabriele & Goia, Francesco & Chaudhary, Gaurav, 2019. "A methodology to improve the performance of PV integrated shading devices using multi-objective optimization," Applied Energy, Elsevier, vol. 247(C), pages 731-744.
    34. Kamal, Rajeev & Moloney, Francesca & Wickramaratne, Chatura & Narasimhan, Arunkumar & Goswami, D.Y., 2019. "Strategic control and cost optimization of thermal energy storage in buildings using EnergyPlus," Applied Energy, Elsevier, vol. 246(C), pages 77-90.
    35. Bianchini, Gianni & Casini, Marco & Pepe, Daniele & Vicino, Antonio & Zanvettor, Giovanni Gino, 2019. "An integrated model predictive control approach for optimal HVAC and energy storage operation in large-scale buildings," Applied Energy, Elsevier, vol. 240(C), pages 327-340.
    36. Sousa, Tiago & Soares, Tiago & Pinson, Pierre & Moret, Fabio & Baroche, Thomas & Sorin, Etienne, 2019. "Peer-to-peer and community-based markets: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 367-378.
    37. Lund, Henrik & Andersen, Anders N. & Østergaard, Poul Alberg & Mathiesen, Brian Vad & Connolly, David, 2012. "From electricity smart grids to smart energy systems – A market operation based approach and understanding," Energy, Elsevier, vol. 42(1), pages 96-102.
    38. Agathokleous, R. & Barone, G. & Buonomano, A. & Forzano, C. & Kalogirou, S.A. & Palombo, A., 2019. "Building façade integrated solar thermal collectors for air heating: experimentation, modelling and applications," Applied Energy, Elsevier, vol. 239(C), pages 658-679.
    39. Good, Nicholas & Ellis, Keith A. & Mancarella, Pierluigi, 2017. "Review and classification of barriers and enablers of demand response in the smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 57-72.
    40. Ahl, Amanda & Yarime, Masaru & Tanaka, Kenji & Sagawa, Daishi, 2019. "Review of blockchain-based distributed energy: Implications for institutional development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 200-211.
    41. Al-Habaibeh, Amin & Athresh, Anup P. & Parker, Keith, 2018. "Performance analysis of using mine water from an abandoned coal mine for heating of buildings using an open loop based single shaft GSHP system," Applied Energy, Elsevier, vol. 211(C), pages 393-402.
    42. Stadler, M. & Kloess, M. & Groissböck, M. & Cardoso, G. & Sharma, R. & Bozchalui, M.C. & Marnay, C., 2013. "Electric storage in California’s commercial buildings," Applied Energy, Elsevier, vol. 104(C), pages 711-722.
    43. Barone, G. & Buonomano, A. & Calise, F. & Forzano, C. & Palombo, A., 2019. "Building to vehicle to building concept toward a novel zero energy paradigm: Modelling and case studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 625-648.
    44. Bünning, Felix & Wetter, Michael & Fuchs, Marcus & Müller, Dirk, 2018. "Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization," Applied Energy, Elsevier, vol. 209(C), pages 502-515.
    45. Harris, A.R. & Rogers, Michelle Marinich & Miller, Carol J. & McElmurry, Shawn P. & Wang, Caisheng, 2015. "Residential emissions reductions through variable timing of electricity consumption," Applied Energy, Elsevier, vol. 158(C), pages 484-489.
    46. Bertrand, Alexandre & Aggoune, Riad & Maréchal, François, 2017. "In-building waste water heat recovery: An urban-scale method for the characterisation of water streams and the assessment of energy savings and costs," Applied Energy, Elsevier, vol. 192(C), pages 110-125.
    47. Saffari, Mohammad & de Gracia, Alvaro & Ushak, Svetlana & Cabeza, Luisa F., 2017. "Passive cooling of buildings with phase change materials using whole-building energy simulation tools: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1239-1255.
    48. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    49. Oliveira Panão, Marta J.N. & Mateus, Nuno M. & Carrilho da Graça, G., 2019. "Measured and modeled performance of internal mass as a thermal energy battery for energy flexible residential buildings," Applied Energy, Elsevier, vol. 239(C), pages 252-267.
    50. Haider, Haider Tarish & See, Ong Hang & Elmenreich, Wilfried, 2016. "A review of residential demand response of smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 166-178.
    51. Sila Kiliccote & Daniel Olsen & Michael D. Sohn & Mary Ann Piette, 2016. "Characterization of demand response in the commercial, industrial, and residential sectors in the United States," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(3), pages 288-304, May.
    52. Harkouss, Fatima & Fardoun, Farouk & Biwole, Pascal Henry, 2018. "Passive design optimization of low energy buildings in different climates," Energy, Elsevier, vol. 165(PA), pages 591-613.
    53. Lund, H. & Möller, B. & Mathiesen, B.V. & Dyrelund, A., 2010. "The role of district heating in future renewable energy systems," Energy, Elsevier, vol. 35(3), pages 1381-1390.
    54. Liu, Guodong & Jiang, Tao & Ollis, Thomas B. & Zhang, Xiaohu & Tomsovic, Kevin, 2019. "Distributed energy management for community microgrids considering network operational constraints and building thermal dynamics," Applied Energy, Elsevier, vol. 239(C), pages 83-95.
    55. Jayathissa, P. & Luzzatto, M. & Schmidli, J. & Hofer, J. & Nagy, Z. & Schlueter, A., 2017. "Optimising building net energy demand with dynamic BIPV shading," Applied Energy, Elsevier, vol. 202(C), pages 726-735.
    56. Nardelli, Andrei & Deuschle, Eduardo & de Azevedo, Leticia Dalpaz & Pessoa, João Lorenço Novaes & Ghisi, Enedir, 2017. "Assessment of Light Emitting Diodes technology for general lighting: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 368-379.
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