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Defining an Innovative Design Method Based on the Life Cycle Approach

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Life Cycle Design

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Abstract

This chapter will illustrate an experimental design model that can be used to produce two different outcomes based on two levels of assessments. This tool is called the Life Cycle Design Model (LCDM).

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Notes

  1. 1.

    The use of integrated design tools, for example BIM, Building Information Modelling, facilitates the application of the matrix. In fact, by using BIM the matrix can represent a concise graphic image of the calculations performed.

  2. 2.

    See Chap. 3 for more details on LCA.

  3. 3.

    See Chap. 3 for more details on LCC.

  4. 4.

    Always bearing in mind the suggestions expressed in ISO 14040: ā€œLCA typically does not address the economic or social aspects of a product, but the life cycle approach and methodologies described in this International Standard may be applied to these other aspectsā€.

  5. 5.

    Chapter 5 illustrates several examples with different levels of design detail. E.g. case study 5.1.1 (VM House) is based on qualitative parameters, while case study 5.2.1 (the Chavonne warehouse) focuses on data in the final design.

  6. 6.

    ā€œGlobal performanceā€ is based on the merger of several quality indicators and envisages the direct involvement of actors from other disciplines throughout the design process.

  7. 7.

    See Chap. 1, paragraph ā€œIntegrated design toolsā€.

  8. 8.

    As recommended by UNI EN ISO 14044.

  9. 9.

    See Sect. 4.4.

  10. 10.

    ā€œMethod Aā€ was inspired by both the ā€œAshby bubble plot theoryā€ (CESā€”Granta Design, UK) and the ā€œRelative life cycle portfolioā€ (Environmental LCCā€”Swarr T., Hunkeler D. ā€œLife Cycle Costing in Life cycle managementā€, 2008).

  11. 11.

    ā€œMethod Bā€ is developed using the economic principle of the emissions tax (cf. Sect. 3.5.2) and is based on the Emission Trading market mechanism (a system for greenhouse emissions allowance tradingā€”European Directive 2003/87/CE).

  12. 12.

    ā€œMethod Cā€ is based on monetisation factors defined by the Swedish impact evaluation method EPS 2000 and on the ā€œExternEā€ project sponsored by the European Union in 1999.

  13. 13.

    The data contained in the case study refer to 2008. ThiƩbat (2009), Architettura e sostenibilitƠ: sviluppo di un modello economico-ambientale. PhD dissertation, XXI cycle, Tutor: M. Grosso, Politecnico di Torino.

  14. 14.

    The alternative building technologies used in the case studies were chosen based on their characteristics of eco-compatibility and easy assembly/disassembly.

  15. 15.

    The reference building technology of the standard case study will be indicated with a term borrowed from economics: ā€œBusiness as Usualā€. It will represent the typical building method used in the Piedmont-Valle dā€™Aosta region (Italy).

  16. 16.

    Cfr. Molinari (2002). Appendix 2 illustrated the data regarding the life cycle duration of building subsystems specified in: Dellā€™isola, Kirk, Life Cycle Cost data, McGraw-Hill, NY, 1983, based on the American ASTM, Building Maintenance, Repair and Replacement Database for Life Cycle Cost Analysis (dated 1995).

  17. 17.

    See Fig. 4.8: green line step 2.

  18. 18.

    Department of Architecture and Design, Politecnico di Torino.

  19. 19.

    See Fig. 4.8: green line step 3.

  20. 20.

    See Chap. 3 for the impact factors.

  21. 21.

    See Fig. 4.8: green line step 4.

  22. 22.

    See Fig. 4.8: blue line step 2.

  23. 23.

    Source: price list of the Regione Piemonte (Italy), Prezzario di riferimento per opere e lavori pubblici nella Regione Piemonte (ed. 2008).

  24. 24.

    C. Molinari, op. cit.

  25. 25.

    Taking into consideration, for example, an opaque, vertical, insulated hollow wall, it will not be possible to replace the insulation after initial installation, despite the fact that the life cycle of the insulation is shorter than the bricks. This will cause a loss of thermal and physical performance and ensuing increase in heating requirements. See Appendix 1.

  26. 26.

    The price of gas was calculated based on invoices and data provided by Italian electricity companies. www.eni.it. Energy data (access November 2008).

  27. 27.

    Critics maintain that the cost classification method should be as transparent as possible. By ensuring traceability of the data it will be possible to make changes during the service life of the building and thereby reduce the inaccuracies of future scenarios (regarding costs, duration, number of replacements, maintenance works, etc.).

  28. 28.

    Real costs correspond to the current value, while nominal costs are obtained by multiplying real costs by the inflation/deflation factor corresponding to the percent by which prices increase every year, from the initial reference date until the year when the cost arises.

  29. 29.

    Cfr. Chap. 3.

  30. 30.

    See Fig. 4.8: blue line step 3.

  31. 31.

    See Fig. 4.8: blue line step 4.

  32. 32.

    See Fig. 4.8: step 5.

  33. 33.

    In the envelope example, consideration was given to the environmental impacts k1 = GER and k2 = GWP.

  34. 34.

    The weight will be chosen by all the actors (client brief) depending on the subjective parameters established during the early design stage.

  35. 35.

    Granta Design Limited.

  36. 36.

    The hypothetical price for the applicative phase refers to the ā€œPoint Carbon EUA OTC assessmentā€ market price of emissions rights expressed in EUR/t. (www.pointcarbon.com/news/europe, last access 20/01/2019)

  37. 37.

    Analysing the case studied reveals that this consideration is not as obvious as it might appear. In fact, standard technologies can often be more polluting and, considering the entire life cycle, more expensive. However they are preferred to other technologies due to underestimation of ā€œlife cycleā€ assessments.

  38. 38.

    Directive 2003/87/CE of 13 October 2003 by the European Parliament and the Council establishing a greenhouse gas emissions allowance trading scheme within the EU.

  39. 39.

    In this example, the lifespan of the insulation is less than that of brick.

  40. 40.

    ENEA, ā€œsimplified calculation of the annual savings of energy from a primary source envisaged thanks to an energy efficient projectā€ (http://www.acs.enea.it/tecnici/calcolo_re.pdf. Last access May 2018).

  41. 41.

    To calculate the global yield, ENEA suggests that the value be kept between 0.65 and 0.80.

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Correspondence to Francesca ThiƩbat .

Appendices

Appendix 1: Simplified Calculation to Quantify the Thermal Dispersion of a Wall

The premise is to calculate the loss of thermal resistance of the technical element and, as a result, the increase in the amount of heat needed to warm the house in winter. Take, for example, a materialā€”insulation inside a hollow wallā€”which at the end of its physical life cannot be replaced for functional and economic reasons.Footnote 39 The energy needed to maintain the initial conditions will have to be calculated for the life cycle period remaining to the building (70Ā years less the years during which the material performed its task).

The formula used in the model is based on the re-elaboration of the calculation method proposed by the Italian Agency for Energy and the Environment (ENEA) to quantify the annual savings of energy from primary sources thanks to an energy-efficient intervention.Footnote 40 The goal of this study is just the opposite. In other words, to determine the envisaged annual consumption in the case of loss of energy efficiency by the envelope. However the method is the same. Dispersion of the envelope element (Ī”Qa) can be identified by applying the formula:

$$ \Delta Q_{a} = \frac{{{\text{GG}} \times 24 \times {\text{f}} \times {\text{R}} \times \Delta {\text{U}} \times {\text{S}}}}{1000}[{\text{kWh}}] $$

where:

GG:

Daylight temperature (Ā°C) at the site in question;

F:

Correction factor taking into consideration the average internal temperature (below 20 Ā°C, since rooms are not heated throughout the day but only according to pre-established schedules).

For residential houses, the indication is fā€‰=ā€‰0.9, and in all other cases from 0.4 to 0.8.

R:

Correction factor of the difference in temperature according to the type of element;

suggested values:

Rā€‰=ā€‰1 if the opaque element or window is between the heated room and the exterior;

Rā€‰=ā€‰0.5 if the opaque element or window is between a heated room and an unheated room;

Rā€‰=ā€‰0.8 if the opaque element or window is between a heated room and the ground or an unheated and ventilated room;

Ī”U:

Variation in transmittance due to the loss of performance of the material (expressed in W/m2 K)

S:

Surface area of an opaque element (Sā€‰=ā€‰1 considering a surface of 1Ā m2).

The following equation can be used to calculate the amount of primary energy required for winter heating (Ī”Qpr)

$$ \Delta Q_{pr} = \frac{{\Delta Q_{a} }}{{\eta_{g} }}[{\text{kWh}}]\,\,{\text{with}}\,\,\eta_{g} = \eta_{p} \times \eta_{d} \times \eta_{r} \times \eta_{s} $$

where:

Ī·g:

Global average seasonal performance of the systems and the building.Footnote 41

Defined as the ratio between the thermal energy requirement to provide winter heating and the primary energy of energy sources (including sources of electricity) calculated with reference to the annual operating period

Ī·p:

Production performance (UNI 10348)

Ī·d:

Distribution performance (UNI 10348)

Ī·r:

Regulation performance (UNI 10348)

Ī·e:

Emission performance (UNI 10348).

Appendix 2: Technical Sheet of the Envelope Elements

See Table 4.7

TableĀ 4.7 Thermos-physics characteristics

Appendix 3: Life Cycle Environmental Analysis of the Envelope Elements

See TablesĀ 4.8, 4.9 and 4.10.

TableĀ 4.8 Process 1ā€”construction stageā€”environmental analysis
TableĀ 4.9 Process 2ā€”use stageā€”environmental analysis
TableĀ 4.10 Process 3ā€”end of life stageā€”environmental analysis

Appendix 4: Life Cycle Cost Analysis of the Envelope Elements

See TablesĀ 4.11, 4.12 and 4.13.

TableĀ 4.11 Process 1ā€”construction stageā€”cost analysis
TableĀ 4.12 Process 2ā€”use stageā€”cost analysis (Discount rate: 5%)
TableĀ 4.13 Process 3ā€”end of life stageā€”cost analysis (Discount rate: 5%)

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ThiƩbat, F. (2019). Defining an Innovative Design Method Based on the Life Cycle Approach. In: Life Cycle Design. PoliTO Springer Series. Springer, Cham. https://doi.org/10.1007/978-3-030-11497-8_4

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