Chapter
May 24, 2022

Impacts of Stacking Plans on Carbon Emissions during Transportation of Prefabricated Exterior Wall Panels

Publication: Computing in Civil Engineering 2021

ABSTRACT 

Stacking plans of prefabricated exterior wall panels determine how the panels should be stacked and transported, and to generate these plans, practitioners must carefully consider parameters that affect the logistics processes of stacking, transportation, and installation. In the previous study, the authors developed the  panel stacking plan generator (PSPG), a methodology that allows practitioners to generate stacking plans for prefabricated exterior wall panels based on input parameters such as panel dimensions, trailer dimensions, installation sequence, reshuffling effort cutoff, and stability cutoff. The methodology can inform practitioners about how the generated stacking plans impact logistics processes and how much cost, schedule, and safety benefits they can realize by using prefabricated wall panels. However, the methodology does not inform them about how the generated plans affect the environmental sustainability, especially CO2 emissions from transportation. In this research, the authors conducted a sensitivity analysis using stacking plan data from a real construction project to study how fuel economy (FE), distance, payload weight, and gross combined vehicle weight (GCVW) each impacts the CO2 emissions from transportation. The results show that emissions were more sensitive to FE (–0.83 to –1.25 relative marginal rate) and distance (directly proportional) than payload weight (0.024–0.027 relative marginal rate) and GCVW (0.10–0.09 relative marginal rate). These insights can inform practitioners about how to realize environmental sustainability benefits when determining stacking plans and logistics of prefabricated wall panels.

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REFERENCES

Altaf, M. S., Al-Hussein, M., and Yu, H. (2014). “Wood-frame wall panel sequencing based on discrete-event simulation and particle swarm optimization.” 31st International Symposium on Automation and Robotics in Construction and Mining, ISARC 2014 - Proceedings, (July), 254–261.
De Borger, B., and Mulalic, I. (2012). “The determinants of fuel use in the trucking industry-volume, fleet characteristics and the rebound effect.” Transport Policy, Elsevier, 24, 284–295.
Farkas, Ş. (2010). “Fuel efficiency in truck industry.” Petru Maior” University of Tîrgu Mureş, 7(2).
Fuelly. (n.d.). <https://www.fuelly.com>(Apr. 1, 2021).
Gao, Z., Smith, D. E., Stuart Daw, C., et al. (2015). “The evaluation of developing vehicle technologies on the fuel economy of long-haul trucks.” Energy Conversion and Management, 106, 766–781.
Jiang, B., Li, H., Dong, L., Wang, Y., and Tao, Y. (2018). “Cradle-to-site carbon emissions assessment of Prefabricated Rebar Cages for high-rise buildings in China.” Sustainability (Switzerland), 11(1).
Kirby, H. R., Hutton, B., McQuaid, R. W., Raeside, R., and Zhang, X. (2000). “Modelling the effects of transport policy levers on fuel efficiency and national fuel consumption.” Transportation Research Part D: Transport and Environment, 5(4), 265–282.
Kodjak, D. (2015). Policies to reduce fuel consumption, air pollution, and carbon emissions from vehicles in G20 nations.
Lattanzio, R. K., and Lowry, S. (2018). Glider Kit, Engine, and Vehicle Regulations.
Lee, Y., Fischer, M., and Kim, J. I. (2019). “Evaluation of reshuffling efforts to comply with installation sequences of prefabricated interior wall panels from bunks delivered on site.” Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation, ASCE, Atlanta, GA, 635–642.
Lee, Y., Kim, J. I., Flager, F., and Fischer, M. (2021). “Generation of stacking plans for prefabricated exterior wall panels shipped vertically with A-frames.” Automation in Construction, (122).
Lopez, D., and Froese, T. M. (2016). “Analysis of Costs and Benefits of Panelized and Modular Prefabricated Homes.” Procedia Engineering, Elsevier B.V., 145, 1291–1297.
Pons, O. (2013). “Assessing the sustainability of prefabricated buildings.” Eco-Efficient Construction and Building Materials: Life Cycle Assessment (LCA), Eco-Labelling and Case Studies, 434–456.
Reinhart, T. E. (2015). Commercial Medium- and Heavy-Duty Truck Fuel Efficiency Technology Study –.
Saltelli, A. (2002). “Making best use of model evaluations to compute sensitivity indices.” Computer Physics Communications, 145(2), 280–297.
Sandberg, T. (2001). Heavy Truck Modeling for Fuel Consumption: Simulation and Measurements. Linkoping University.
Teng, Y., and Pan, W. (2020). “Estimating and minimizing embodied carbon of prefabricated high-rise residential buildings considering parameter, scenario and model uncertainties.” Building and Environment, Elsevier Ltd, 180(April), 106951.
Wang, H., Zhang, H., Hou, K., and Yao, G. (2021). “Carbon emissions factor evaluation for assembled building during prefabricated component transportation phase.” Energy Exploration and Exploitation, 39(1), 385–408.
Zhou, B., Wu, Y., Zhou, B., et al. (2016). “Real-world performance of battery electric buses and their life-cycle benefits with respect to energy consumption and carbon dioxide emissions.” Energy, 96(2016), 603–613.

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Go to Computing in Civil Engineering 2021
Computing in Civil Engineering 2021
Pages: 1136 - 1143

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Published online: May 24, 2022

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1Postdoctoral Scholar, Dept. of Civil and Environmental Engineering, Stanford Univ., Stanford, CA. Email: [email protected]
Stephanie Chin [email protected]
2Ph.D. Student, Dept. of Civil and Environmental Engineering, Stanford Univ., Stanford, CA. Email: [email protected]
Martin Fischer, A.M.ASCE [email protected]
3Professor, Dept. of Civil and Environmental Engineering, Stanford Univ., Stanford, CA. Email: [email protected]

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