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Economic feasibility of building retrofitting mitigation potentials: Climate change uncertainties for Swedish cities

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  • Mata, Érika
  • Wanemark, Joel
  • Nik, Vahid M.
  • Sasic Kalagasidis, Angela

Abstract

Deep and rapid decarbonization of the building sector requires energy demand reductions and the incorporation of renewable-energy sources. Energy retrofitting of existing buildings is a central strategy in climate mitigation and has often been highlighted as a cost-effective strategy. However, decisions on these strategies are often hampered by modeling assessments that are limited by contextual, methodological, parametric, input, or output constraints. Here, we present a novel methodology to investigate the solid economic feasibility in building retrofit evaluations with mitigation measures. We first calculate the variations in the energy saving potentials and costs for 13 energy saving measures and five climate change scenarios. We then compare the obtained uncertainty due to a changing climate to other uncertainties, such as the boundaries for emission inventories and energy system development.

Suggested Citation

  • Mata, Érika & Wanemark, Joel & Nik, Vahid M. & Sasic Kalagasidis, Angela, 2019. "Economic feasibility of building retrofitting mitigation potentials: Climate change uncertainties for Swedish cities," Applied Energy, Elsevier, vol. 242(C), pages 1022-1035.
    • Handle: RePEc:eee:appene:v:242:y:2019:i:c:p:1022-1035
    DOI: 10.1016/j.apenergy.2019.03.042
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    as
    1. Wang, Zhaohua & Lu, Milin & Wang, Jian-Cai, 2014. "Direct rebound effect on urban residential electricity use: An empirical study in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 124-132.
    2. Schleich, Joachim & Mills, Bradford & Dütschke, Elisabeth, 2014. "A brighter future? Quantifying the rebound effect in energy efficient lighting," Energy Policy, Elsevier, vol. 72(C), pages 35-42.
    3. Copiello, Sergio & Gabrielli, Laura & Bonifaci, Pietro, 2017. "Evaluation of energy retrofit in buildings under conditions of uncertainty: The prominence of the discount rate," Energy, Elsevier, vol. 137(C), pages 104-117.
    4. repec:hal:gemwpa:hal-00991732 is not listed on IDEAS
    5. Delzendeh, Elham & Wu, Song & Lee, Angela & Zhou, Ying, 2017. "The impact of occupants’ behaviours on building energy analysis: A research review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1061-1071.
    6. Hargreaves, Anthony & Cheng, Vicky & Deshmukh, Sandip & Leach, Matthew & Steemers, Koen, 2017. "Forecasting how residential urban form affects the regional carbon savings and costs of retrofitting and decentralized energy supply," Applied Energy, Elsevier, vol. 186(P3), pages 549-561.
    7. Richard G. Newell & Juha Siikamäki, 2014. "Nudging Energy Efficiency Behavior: The Role of Information Labels," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(4), pages 555-598.
    8. Pilli-Sihvola, Karoliina & Aatola, Piia & Ollikainen, Markku & Tuomenvirta, Heikki, 2010. "Climate change and electricity consumption--Witnessing increasing or decreasing use and costs?," Energy Policy, Elsevier, vol. 38(5), pages 2409-2419, May.
    9. Janet L. Reyna & Mikhail V. Chester, 2017. "Energy efficiency to reduce residential electricity and natural gas use under climate change," Nature Communications, Nature, vol. 8(1), pages 1-12, August.
    10. Vaillancourt, Kathleen & Bahn, Olivier & Frenette, Erik & Sigvaldason, Oskar, 2017. "Exploring deep decarbonization pathways to 2050 for Canada using an optimization energy model framework," Applied Energy, Elsevier, vol. 195(C), pages 774-785.
    11. Cabeza, Luisa F. & Urge-Vorsatz, Diana & McNeil, Michael A. & Barreneche, Camila & Serrano, Susana, 2014. "Investigating greenhouse challenge from growing trends of electricity consumption through home appliances in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 188-193.
    12. Chaturvedi, Vaibhav & Eom, Jiyong & Clarke, Leon E. & Shukla, Priyadarshi R., 2014. "Long term building energy demand for India: Disaggregating end use energy services in an integrated assessment modeling framework," Energy Policy, Elsevier, vol. 64(C), pages 226-242.
    13. D’Oca, Simona & Hong, Tianzhen & Langevin, Jared, 2018. "The human dimensions of energy use in buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 731-742.
    14. Shi, Jingcheng & Chen, Wenying & Yin, Xiang, 2016. "Modelling building’s decarbonization with application of China TIMES model," Applied Energy, Elsevier, vol. 162(C), pages 1303-1312.
    15. Wang, Huan & Chen, Wenying & Shi, Jingcheng, 2018. "Low carbon transition of global building sector under 2- and 1.5-degree targets," Applied Energy, Elsevier, vol. 222(C), pages 148-157.
    16. van Hooff, T. & Blocken, B. & Timmermans, H.J.P. & Hensen, J.L.M., 2016. "Analysis of the predicted effect of passive climate adaptation measures on energy demand for cooling and heating in a residential building," Energy, Elsevier, vol. 94(C), pages 811-820.
    17. Huang, Kuo-Tsang & Hwang, Ruey-Lung, 2016. "Future trends of residential building cooling energy and passive adaptation measures to counteract climate change: The case of Taiwan," Applied Energy, Elsevier, vol. 184(C), pages 1230-1240.
    18. Jones, Rory V. & Fuertes, Alba & Lomas, Kevin J., 2015. "The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 901-917.
    19. Kotireddy, Rajesh & Hoes, Pieter-Jan & Hensen, Jan L.M., 2018. "A methodology for performance robustness assessment of low-energy buildings using scenario analysis," Applied Energy, Elsevier, vol. 212(C), pages 428-442.
    20. Zhou, Yuyu & Clarke, Leon & Eom, Jiyong & Kyle, Page & Patel, Pralit & Kim, Son H. & Dirks, James & Jensen, Erik & Liu, Ying & Rice, Jennie & Schmidt, Laurel & Seiple, Timothy, 2014. "Modeling the effect of climate change on U.S. state-level buildings energy demands in an integrated assessment framework," Applied Energy, Elsevier, vol. 113(C), pages 1077-1088.
    21. Dodoo, Ambrose & Gustavsson, Leif, 2016. "Energy use and overheating risk of Swedish multi-storey residential buildings under different climate scenarios," Energy, Elsevier, vol. 97(C), pages 534-548.
    22. Eom, Jiyong & Clarke, Leon & Kim, Son H. & Kyle, Page & Patel, Pralit, 2012. "China's building energy demand: Long-term implications from a detailed assessment," Energy, Elsevier, vol. 46(1), pages 405-419.
    23. Mata, Érika & Sasic Kalagasidis, Angela & Johnsson, Filip, 2013. "Energy usage and technical potential for energy saving measures in the Swedish residential building stock," Energy Policy, Elsevier, vol. 55(C), pages 404-414.
    24. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    25. Burleyson, Casey D. & Voisin, Nathalie & Taylor, Z. Todd & Xie, Yulong & Kraucunas, Ian, 2018. "Simulated building energy demand biases resulting from the use of representative weather stations," Applied Energy, Elsevier, vol. 209(C), pages 516-528.
    26. Timmons, David & Konstantinidis, Charalampos & Shapiro, Andrew M. & Wilson, Alex, 2016. "Decarbonizing residential building energy: A cost-effective approach," Energy Policy, Elsevier, vol. 92(C), pages 382-392.
    27. Mirasgedis, S. & Sarafidis, Y. & Georgopoulou, E. & Lalas, D.P. & Moschovits, M. & Karagiannis, F. & Papakonstantinou, D., 2006. "Models for mid-term electricity demand forecasting incorporating weather influences," Energy, Elsevier, vol. 31(2), pages 208-227.
    28. Filippín, Celina & Ricard, Florencia & Flores Larsen, Silvana & Santamouris, Mattheos, 2017. "Retrospective analysis of the energy consumption of single-family dwellings in central Argentina. Retrofitting and adaptation to the climate change," Renewable Energy, Elsevier, vol. 101(C), pages 1226-1241.
    29. Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
    30. Shen, Pengyuan & Braham, William & Yi, Yunkyu, 2019. "The feasibility and importance of considering climate change impacts in building retrofit analysis," Applied Energy, Elsevier, vol. 233, pages 254-270.
    31. Leibowicz, Benjamin D. & Lanham, Christopher M. & Brozynski, Max T. & Vázquez-Canteli, José R. & Castejón, Nicolás Castillo & Nagy, Zoltan, 2018. "Optimal decarbonization pathways for urban residential building energy services," Applied Energy, Elsevier, vol. 230(C), pages 1311-1325.
    32. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2012. "Impact of climate change on energy use in the built environment in different climate zones – A review," Energy, Elsevier, vol. 42(1), pages 103-112.
    33. Chitnis, Mona & Sorrell, Steve & Druckman, Angela & Firth, Steven K. & Jackson, Tim, 2014. "Who rebounds most? Estimating direct and indirect rebound effects for different UK socioeconomic groups," Ecological Economics, Elsevier, vol. 106(C), pages 12-32.
    34. Tettey, Uniben Yao Ayikoe & Dodoo, Ambrose & Gustavsson, Leif, 2017. "Energy use implications of different design strategies for multi-storey residential buildings under future climates," Energy, Elsevier, vol. 138(C), pages 846-860.
    35. Mata, Érika & Kalagasidis, Angela Sasic & Johnsson, Filip, 2018. "Contributions of building retrofitting in five member states to EU targets for energy savings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 759-774.
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    3. Ma, Dingyuan & Li, Xiaodong & Lin, Borong & Zhu, Yimin, 2023. "An intelligent retrofit decision-making model for building program planning considering tacit knowledge and multiple objectives," Energy, Elsevier, vol. 263(PB).
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    6. Zhikun Ding & Jinze Li & Zhan Wang & Zhaoyang Xiong, 2024. "Multi-Objective Optimization of Building Envelope Retrofits Considering Future Climate Scenarios: An Integrated Approach Using Machine Learning and Climate Models," Sustainability, MDPI, vol. 16(18), pages 1-19, September.
    7. Sánchez, M.N. & Soutullo, S. & Olmedo, R. & Bravo, D. & Castaño, S. & Jiménez, M.J., 2020. "An experimental methodology to assess the climate impact on the energy performance of buildings: A ten-year evaluation in temperate and cold desert areas," Applied Energy, Elsevier, vol. 264(C).
    8. Yang, Yuchen & Javanroodi, Kavan & Nik, Vahid M., 2021. "Climate change and energy performance of European residential building stocks – A comprehensive impact assessment using climate big data from the coordinated regional climate downscaling experiment," Applied Energy, Elsevier, vol. 298(C).
    9. Bienvenido-Huertas, David & Sánchez-García, Daniel & Rubio-Bellido, Carlos, 2020. "Analysing natural ventilation to reduce the cooling energy consumption and the fuel poverty of social dwellings in coastal zones," Applied Energy, Elsevier, vol. 279(C).
    10. Hamels, Sam & Himpe, Eline & Laverge, Jelle & Delghust, Marc & Van den Brande, Kjartan & Janssens, Arnold & Albrecht, Johan, 2021. "The use of primary energy factors and CO2 intensities for electricity in the European context - A systematic methodological review and critical evaluation of the contemporary literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    11. He, Qiong & Hossain, Md. Uzzal & Ng, S. Thomas & Augenbroe, Godfried, 2021. "Identifying practical sustainable retrofit measures for existing high-rise residential buildings in various climate zones through an integrated energy-cost model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    12. Clara Camarasa & Érika Mata & Juan Pablo Jiménez Navarro & Janet Reyna & Paula Bezerra & Gerd Brantes Angelkorte & Wei Feng & Faidra Filippidou & Sebastian Forthuber & Chioke Harris & Nina Holck Sandb, 2022. "A global comparison of building decarbonization scenarios by 2050 towards 1.5–2 °C targets," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    13. S. Soutullo & E. Giancola & M. J. Jiménez & J. A. Ferrer & M. N. Sánchez, 2020. "How Climate Trends Impact on the Thermal Performance of a Typical Residential Building in Madrid," Energies, MDPI, vol. 13(1), pages 1-21, January.
    14. Pulkkinen, Jari & Louis, Jean-Nicolas & Debusschere, Vincent & Pongrácz, Eva, 2024. "Near-, medium- and long-term impacts of climate change on the thermal energy consumption of buildings in Finland under RCP climate scenarios," Energy, Elsevier, vol. 302(C).
    15. Younes Mohammadi & Aleksey Palstev & Boštjan Polajžer & Seyed Mahdi Miraftabzadeh & Davood Khodadad, 2023. "Investigating Winter Temperatures in Sweden and Norway: Potential Relationships with Climatic Indices and Effects on Electrical Power and Energy Systems," Energies, MDPI, vol. 16(14), pages 1-34, July.
    16. Yang, Xining & Hu, Mingming & Tukker, Arnold & Zhang, Chunbo & Huo, Tengfei & Steubing, Bernhard, 2022. "A bottom-up dynamic building stock model for residential energy transition: A case study for the Netherlands," Applied Energy, Elsevier, vol. 306(PA).
    17. Piccardo, Chiara & Gustavsson, Leif, 2023. "Deep energy retrofits using different retrofit materials under different scenarios: Life cycle cost and primary energy implications," Energy, Elsevier, vol. 281(C).

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