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Optimal scheduling of modernization measures for typical non-residential buildings

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  • Richarz, Jan
  • Henn, Sarah
  • Osterhage, Tanja
  • Müller, Dirk

Abstract

Existing non-residential buildings account for a significant proportion of the energy consumption of the European building stock. Modernizing these buildings can significantly contribute to declared emission reduction targets. Modernization measures are rarely realized in the life cycle of buildings but have long-term effects on their energetic performance. Therefore, it is not only essential to identify future-oriented modernization measures but also to schedule them over the life cycle of a building. For this purpose, we present a mixed-integer linear program that schedules measures for a building energy system including envelope and supply system. The program determines not only the optimal combination of modernization measures but also the respective optimal point of time when each measure shall be realized. A multi-objective optimization is conducted to minimize carbon emissions and net present value. Thermal demand profiles serve as input for the optimization model and are calculated preliminary using dynamic simulations. Constraints and boundary conditions are specified separately for each prospective year of the schedule's time horizon. Results showed that the constitution of a building energy system changes several times throughout a schedule. Determined Pareto-efficient solutions reveal that carbon emissions could be saved more cost-efficiently than with approaches without scheduling.

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  • Richarz, Jan & Henn, Sarah & Osterhage, Tanja & Müller, Dirk, 2022. "Optimal scheduling of modernization measures for typical non-residential buildings," Energy, Elsevier, vol. 238(PA).
    • Handle: RePEc:eee:energy:v:238:y:2022:i:pa:s0360544221021198
    DOI: 10.1016/j.energy.2021.121871
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    2. Ming-Qiang Huang & Rui-Juan Lin, 2022. "Evolutionary Game Analysis of Energy-Saving Renovations of Existing Rural Residential Buildings from the Perspective of Stakeholders," Sustainability, MDPI, vol. 14(9), pages 1-20, May.
    3. Lerbinger, Alicia & Petkov, Ivalin & Mavromatidis, Georgios & Knoeri, Christof, 2023. "Optimal decarbonization strategies for existing districts considering energy systems and retrofits," Applied Energy, Elsevier, vol. 352(C).

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