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MANGOret: An optimization framework for the long-term investment planning of building multi-energy system and envelope retrofits

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  • Petkov, Ivalin
  • Mavromatidis, Georgios
  • Knoeri, Christof
  • Allan, James
  • Hoffmann, Volker H.

Abstract

This study presents MANGOret (Multi-stAge eNerGy Optimization — retrofitting), a novel optimization framework and model for the long-term investment planning of existing building retrofits. MANGOret bridges the methodological gaps between energy system modeling and real estate management to present a scalable framework to optimize both energy and non-energy costs while considering building value. With a 2050 horizon, MANGOret is able to harness the strategic value of investment flexibility to optimally phase investments across the multi-objective cost and CO2 emission decision space considering both operational and embodied emissions.

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  • Petkov, Ivalin & Mavromatidis, Georgios & Knoeri, Christof & Allan, James & Hoffmann, Volker H., 2022. "MANGOret: An optimization framework for the long-term investment planning of building multi-energy system and envelope retrofits," Applied Energy, Elsevier, vol. 314(C).
    • Handle: RePEc:eee:appene:v:314:y:2022:i:c:s0306261922003269
    DOI: 10.1016/j.apenergy.2022.118901
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    1. Guariso, Giorgio & Sangiorgio, Matteo, 2019. "Multi-objective planning of building stock renovation," Energy Policy, Elsevier, vol. 130(C), pages 101-110.
    2. Ascione, Fabrizio & Bianco, Nicola & De Stasio, Claudio & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2016. "Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality," Applied Energy, Elsevier, vol. 174(C), pages 37-68.
    3. Pecenak, Zachary K. & Stadler, Michael & Fahy, Kelsey, 2019. "Efficient multi-year economic energy planning in microgrids," Applied Energy, Elsevier, vol. 255(C).
    4. Di Somma, M. & Yan, B. & Bianco, N. & Graditi, G. & Luh, P.B. & Mongibello, L. & Naso, V., 2017. "Multi-objective design optimization of distributed energy systems through cost and exergy assessments," Applied Energy, Elsevier, vol. 204(C), pages 1299-1316.
    5. Gholami, M. & Torreggiani, D. & Tassinari, P. & Barbaresi, A., 2021. "Narrowing uncertainties in forecasting urban building energy demand through an optimal archetyping method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    6. Gabrielli, Paolo & Gazzani, Matteo & Martelli, Emanuele & Mazzotti, Marco, 2018. "Optimal design of multi-energy systems with seasonal storage," Applied Energy, Elsevier, vol. 219(C), pages 408-424.
    7. Abolfazl Farahani & Holger Wallbaum & Jan-Olof Dalenbäck, 2019. "Optimized maintenance and renovation scheduling in multifamily buildings – a systematic approach based on condition state and life cycle cost of building components," Construction Management and Economics, Taylor & Francis Journals, vol. 37(3), pages 139-155, March.
    8. Tian, Wei & Heo, Yeonsook & de Wilde, Pieter & Li, Zhanyong & Yan, Da & Park, Cheol Soo & Feng, Xiaohang & Augenbroe, Godfried, 2018. "A review of uncertainty analysis in building energy assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 285-301.
    9. Petkov, Ivalin & Gabrielli, Paolo, 2020. "Power-to-hydrogen as seasonal energy storage: an uncertainty analysis for optimal design of low-carbon multi-energy systems," Applied Energy, Elsevier, vol. 274(C).
    10. Christensen, Pernille H. & Robinson, Spenser J. & Simons, Robert A., 2018. "The influence of energy considerations on decision making by institutional real estate owners in the U.S," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 275-284.
    11. Laura Gabrielli & Aurora Ruggeri, 2019. "Developing a model for energy retrofit in large building portfolios: energy assessment, optimization and uncertainty," ERES eres2019_203, European Real Estate Society (ERES).
    12. 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.
    13. Gabrielli, Paolo & Fürer, Florian & Mavromatidis, Georgios & Mazzotti, Marco, 2019. "Robust and optimal design of multi-energy systems with seasonal storage through uncertainty analysis," Applied Energy, Elsevier, vol. 238(C), pages 1192-1210.
    14. Franz Fuerst & Patrick McAllister, 2011. "Green Noise or Green Value? Measuring the Effects of Environmental Certification on Office Values," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 39(1), pages 45-69, March.
    15. Sandberg, Nina Holck & Næss, Jan Sandstad & Brattebø, Helge & Andresen, Inger & Gustavsen, Arild, 2021. "Large potentials for energy saving and greenhouse gas emission reductions from large-scale deployment of zero emission building technologies in a national building stock," Energy Policy, Elsevier, vol. 152(C).
    16. Ohlsson, K.E. Anders & Olofsson, Thomas, 2021. "Benchmarking the practice of validation and uncertainty analysis of building energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    17. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
    18. Zhu, Qianru & Leibowicz, Benjamin D. & Busby, Joshua W. & Shidore, Sarang & Adelman, David E. & Olmstead, Sheila M., 2022. "Enhancing policy realism in energy system optimization models: Politically feasible decarbonization pathways for the United States," Energy Policy, Elsevier, vol. 161(C).
    19. Bohlayer, Markus & Bürger, Adrian & Fleschutz, Markus & Braun, Marco & Zöttl, Gregor, 2021. "Multi-period investment pathways - Modeling approaches to design distributed energy systems under uncertainty," Applied Energy, Elsevier, vol. 285(C).
    20. Schütz, Thomas & Schiffer, Lutz & Harb, Hassan & Fuchs, Marcus & Müller, Dirk, 2017. "Optimal design of energy conversion units and envelopes for residential building retrofits using a comprehensive MILP model," Applied Energy, Elsevier, vol. 185(P1), pages 1-15.
    21. Andrei David & Brian Vad Mathiesen & Helge Averfalk & Sven Werner & Henrik Lund, 2017. "Heat Roadmap Europe: Large-Scale Electric Heat Pumps in District Heating Systems," Energies, MDPI, vol. 10(4), pages 1-18, April.
    22. Stadler, M. & Groissböck, M. & Cardoso, G. & Marnay, C., 2014. "Optimizing Distributed Energy Resources and building retrofits with the strategic DER-CAModel," Applied Energy, Elsevier, vol. 132(C), pages 557-567.
    23. Mavromatidis, Georgios & Petkov, Ivalin, 2021. "MANGO: A novel optimization model for the long-term, multi-stage planning of decentralized multi-energy systems," Applied Energy, Elsevier, vol. 288(C).
    24. Shen, Pengyuan & Braham, William & Yi, Yunkyu & Eaton, Eric, 2019. "Rapid multi-objective optimization with multi-year future weather condition and decision-making support for building retrofit," Energy, Elsevier, vol. 172(C), pages 892-912.
    25. Friege, Jonas & Chappin, Emile, 2014. "Modelling decisions on energy-efficient renovations: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 196-208.
    26. Neil Strachan & Birgit Fais & Hannah Daly, 2016. "Reinventing the energy modelling–policy interface," Nature Energy, Nature, vol. 1(3), pages 1-3, March.
    27. Yazdanie, Mashael & Densing, Martin & Wokaun, Alexander, 2017. "Cost optimal urban energy systems planning in the context of national energy policies: A case study for the city of Basel," Energy Policy, Elsevier, vol. 110(C), pages 176-190.
    28. Shadram, Farshid & Bhattacharjee, Shimantika & Lidelöw, Sofia & Mukkavaara, Jani & Olofsson, Thomas, 2020. "Exploring the trade-off in life cycle energy of building retrofit through optimization," Applied Energy, Elsevier, vol. 269(C).
    29. 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.
    30. 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.
    31. Deb, C. & Schlueter, A., 2021. "Review of data-driven energy modelling techniques for building retrofit," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    32. Schütz, Thomas & Schraven, Markus Hans & Fuchs, Marcus & Remmen, Peter & Müller, Dirk, 2018. "Comparison of clustering algorithms for the selection of typical demand days for energy system synthesis," Renewable Energy, Elsevier, vol. 129(PA), pages 570-582.
    33. Maia, Iná & Kranzl, Lukas & Müller, Andreas, 2021. "New step-by-step retrofitting model for delivering optimum timing," Applied Energy, Elsevier, vol. 290(C).
    34. Streicher, Kai Nino & Berger, Matthias & Panos, Evangelos & Narula, Kapil & Soini, Martin Christoph & Patel, Martin K., 2021. "Optimal building retrofit pathways considering stock dynamics and climate change impacts," Energy Policy, Elsevier, vol. 152(C).
    35. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "Uncertainty and global sensitivity analysis for the optimal design of distributed energy systems," Applied Energy, Elsevier, vol. 214(C), pages 219-238.
    36. Narula, Kapil & Chambers, Jonathan & Streicher, Kai N. & Patel, Martin K., 2019. "Strategies for decarbonising the Swiss heating system," Energy, Elsevier, vol. 169(C), pages 1119-1131.
    37. Mutschler, Robin & Rüdisüli, Martin & Heer, Philipp & Eggimann, Sven, 2021. "Benchmarking cooling and heating energy demands considering climate change, population growth and cooling device uptake," Applied Energy, Elsevier, vol. 288(C).
    38. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
    39. Murray, Portia & Orehounig, Kristina & Grosspietsch, David & Carmeliet, Jan, 2018. "A comparison of storage systems in neighbourhood decentralized energy system applications from 2015 to 2050," Applied Energy, Elsevier, vol. 231(C), pages 1285-1306.
    40. Ferreira, Joaquim & Pinheiro, Manuel Duarte & Brito, Jorge de, 2013. "Refurbishment decision support tools review—Energy and life cycle as key aspects to sustainable refurbishment projects," Energy Policy, Elsevier, vol. 62(C), pages 1453-1460.
    41. Iturriaga, E. & Aldasoro, U. & Terés-Zubiaga, J. & Campos-Celador, A., 2018. "Optimal renovation of buildings towards the nearly Zero Energy Building standard," Energy, Elsevier, vol. 160(C), pages 1101-1114.
    42. Gliedt, Travis & Hoicka, Christina E., 2015. "Energy upgrades as financial or strategic investment? Energy Star property owners and managers improving building energy performance," Applied Energy, Elsevier, vol. 147(C), pages 430-443.
    43. Hecher, Maria & Hatzl, Stefanie & Knoeri, Christof & Posch, Alfred, 2017. "The trigger matters: The decision-making process for heating systems in the residential building sector," Energy Policy, Elsevier, vol. 102(C), pages 288-306.
    44. Zheng, Donglin & Yu, Lijun & Wang, Lizhen, 2019. "A techno-economic-risk decision-making methodology for large-scale building energy efficiency retrofit using Monte Carlo simulation," Energy, Elsevier, vol. 189(C).
    45. Jennings, Mark & Fisk, David & Shah, Nilay, 2014. "Modelling and optimization of retrofitting residential energy systems at the urban scale," Energy, Elsevier, vol. 64(C), pages 220-233.
    46. Nägeli, Claudio & Jakob, Martin & Catenazzi, Giacomo & Ostermeyer, York, 2020. "Policies to decarbonize the Swiss residential building stock: An agent-based building stock modeling assessment," Energy Policy, Elsevier, vol. 146(C).
    47. Nie, Hongguang & Kemp, René & Xu, Jin-Hua & Vasseur, Véronique & Fan, Ying, 2020. "Split incentive effects on the adoption of technical and behavioral energy-saving measures in the household sector in Western Europe," Energy Policy, Elsevier, vol. 140(C).
    48. Björn Nykvist & Måns Nilsson, 2015. "Rapidly falling costs of battery packs for electric vehicles," Nature Climate Change, Nature, vol. 5(4), pages 329-332, April.
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    Cited by:

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