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Computational Tools for Energy Efficiency: Case of Building Renovation

This presentation explores the relevance of building renovation to energy efficiency and focuses on computational tools for simulation, calculation, and compliance analysis. It highlights the importance of building renovation in improving energy efficiency and discusses the potential solutions and initiatives. The use of computational tools in decision-making processes, feasibility analysis, and early stages of renovation is emphasized. The challenges and downsides of calculation programs are discussed, along with suggestions for selecting appropriate tools for early-stage decision-making.

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Computational Tools for Energy Efficiency: Case of Building Renovation

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  1. Computational Tools for Energy Efficiency: Case of Building Renovation Venkata Bandi Department of Energy Technology

  2. Outline Building renovation relevance to energy efficiency Renovation process • Focus of this presentation Computational tools • Simulation and Calculation Compliance analysis Conclusion

  3. Building Renovation Importance Source : OTB Research Institute for Housing, Building Renovation and Modernisation in Europe: State of the art review, Delft University of Technology, 2008

  4. Energy Efficiency Potential

  5. Building Renovation Importance

  6. Energy Efficiency in the Context Buildings System Boundaries of the Building Performance Indicators • vary significantly across disciplines Improvements Initiatives • Several alternatives

  7. Building Renovation Initial survey Energy performance evaluation Possible solutions Source: Yin H. and Menzel, K., Decision Support Model for Building Renovation Strategies,” in International Conference on Building Science and Engineering, 2011. Focus

  8. DecisionProcesses Feasibility analysis Source: Yin H. and Menzel, K., Decision Support Model for Building Renovation Strategies,” in International Conference on Building Science and Engineering, 2011.

  9. Existing Approach to Renovation Past experiences and common practices • It can go wrong with changing habits resulting from technological advancements • Buildings are unique Location, marker value etc..

  10. Contd..

  11. Computational tools for Decision Support for Buildings

  12. Early Stages of Renovation Decision makers • Building owners, Real-estate companies, Urban planners, Architects Alternative to existing practices • Use of computational tools Decision-aid for feasibility analysis

  13. Feasibility analysis A feasibility study is a technical and economic analysis of potential energy savings • Identifies technical and economical impacts Provides reviewers with sufficient information to judge the technical and economic feasibility of the recommended alternatives

  14. Compliance of Computation Tools Assumptions • Access to basic geometrical details about the building envelope, but not extensive details • Basic understanding of technical and economic aspects of energy efficiency initiatives and indicators • Limited financial resources during conceptual stage of implementing different energy efficiency measures • Very strong co-relation between input-data size, cost associated with data collection and effort required for data organization

  15. What are calculation tools? Mathematical model • Simple linear equations Data analysis • System level aggregation

  16. Example 1 Additional insulation and energy savings

  17. Compatibility of Computation Tools Simulation tools • Demands expertize • Meant for experts Calculation tools • Basic skills enough • Suits early decision-making Use of calculation tools in early-stage decision-making • Promotes energy efficiency objectives • Increases possibilities of selecting best alternative at early-stages • Feasibility analysis

  18. Downsides of Calculation Programs Our Experience • Finding appropriate supporting tools for early stage decision-making is a challenging task • There exists a great deal of variation across different calculation programs and the way impacts are calculated.

  19. Suggestions Calculation tools, which consider the following parameters, are relatively useful for early stage decision-making. Climatic conditions Bundling of energy efficiency measures Economic analysis Comparative analysis of different energy efficiency measures

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