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Review of cost objective functions in multi-objective optimisation analysis of buildings

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  • Auza, Anna
  • Asadi, Ehsan
  • Chenari, Behrang
  • Gameiro da Silva, Manuel

Abstract

Notwithstanding the reductions in the cost of renewable energy per unit produced, cost objectives remain a relevant yet understudied topic due to their ability to indicate information available in the market. To better understand the general practice and identify trends in cost objectives for renewable energy-powered buildings in multi-objective optimisation problems, the article systematically reviews 129 studies published in 2011–2023 and identifies the highly cited articles (N = 23) to be reviewed narratively. As for the contribution to the literature, cost objectives are re-categorised based on the cost components considered. Assigned categories show that the authors focus on initial costs and energy costs. Systematic analysis shows that the most popular original metrics are total (life cycle cost, total costs) and energy import costs. There seems to be little association between climate zone and metric considered, but the payback period is applied in less developed countries. Supplementary economic objective metrics are on the rise. To further aid decision-making and address the current limitations – oversimplification of the project context, transitioning towards a managerial accounting perspective is welcomed. It could aid in attracting investment from other than project developers' sources, to reach the target investment in building energy efficiency required for the 1.5-degree target by 2050.

Suggested Citation

  • Auza, Anna & Asadi, Ehsan & Chenari, Behrang & Gameiro da Silva, Manuel, 2024. "Review of cost objective functions in multi-objective optimisation analysis of buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
  • Handle: RePEc:eee:rensus:v:191:y:2024:i:c:s1364032123009590
    DOI: 10.1016/j.rser.2023.114101
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    1. Yuan-Kang Wu & Cheng-Liang Huang & Quoc-Thang Phan & Yuan-Yao Li, 2022. "Completed Review of Various Solar Power Forecasting Techniques Considering Different Viewpoints," Energies, MDPI, vol. 15(9), pages 1-22, May.
    2. Keeley, Alexander Ryota & Matsumoto, Ken’ichi, 2018. "Relative significance of determinants of foreign direct investment in wind and solar energy in developing countries – AHP analysis," Energy Policy, Elsevier, vol. 123(C), pages 337-348.
    3. Cai, Y.P. & Huang, G.H. & Yang, Z.F. & Lin, Q.G. & Tan, Q., 2009. "Community-scale renewable energy systems planning under uncertainty--An interval chance-constrained programming approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 721-735, May.
    4. Liu, Laibao & Wang, Zheng & Wang, Yang & Wang, Jun & Chang, Rui & He, Gang & Tang, Wenjun & Gao, Ziqi & Li, Jiangtao & Liu, Changyi & Zhao, Lin & Qin, Dahe & Li, Shuangcheng, 2020. "Optimizing wind/solar combinations at finer scales to mitigate renewable energy variability in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    5. 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.
    6. Aya Amer & Khaled Shaban & Ahmed Gaouda & Ahmed Massoud, 2021. "Home Energy Management System Embedded with a Multi-Objective Demand Response Optimization Model to Benefit Customers and Operators," Energies, MDPI, vol. 14(2), pages 1-19, January.
    7. Chiu, Justin N.W. & Gravoille, Pauline & Martin, Viktoria, 2013. "Active free cooling optimization with thermal energy storage in Stockholm," Applied Energy, Elsevier, vol. 109(C), pages 523-529.
    8. Soroudi, Alireza & Amraee, Turaj, 2013. "Decision making under uncertainty in energy systems: State of the art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 376-384.
    9. Norman V. Loayza & Romain Rancière & Luis Servén & Jaume Ventura, 2007. "Macroeconomic Volatility and Welfare in Developing Countries: An Introduction," The World Bank Economic Review, World Bank, vol. 21(3), pages 343-357, October.
    10. Thorsten Knauer & Katja Möslang, 2018. "The adoption and benefits of life cycle costing," Journal of Accounting & Organizational Change, Emerald Group Publishing Limited, vol. 14(2), pages 188-215, June.
    11. Gazheli, Ardjan & van den Bergh, Jeroen, 2018. "Real options analysis of investment in solar vs. wind energy: Diversification strategies under uncertain prices and costs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2693-2704.
    12. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    13. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    14. Liming Wei & Shuo Xv, 2022. "Optimal scheduling of building integrated energy systems using an improved ant lion algorithm [Technical characteristics of China's new generation power system in energy transformation]," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 720-729.
    15. Myeong Jin Ko & Yong Shik Kim & Min Hee Chung & Hung Chan Jeon, 2015. "Multi-Objective Optimization Design for a Hybrid Energy System Using the Genetic Algorithm," Energies, MDPI, vol. 8(4), pages 1-26, April.
    16. Khan, Faizan A. & Pal, Nitai & Saeed, Syed.H., 2018. "Review of solar photovoltaic and wind hybrid energy systems for sizing strategies optimization techniques and cost analysis methodologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 937-947.
    17. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    18. Deason, Wesley, 2018. "Comparison of 100% renewable energy system scenarios with a focus on flexibility and cost," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3168-3178.
    19. Moins, B. & France, C. & Van den bergh, W. & Audenaert, A., 2020. "Implementing life cycle cost analysis in road engineering: A critical review on methodological framework choices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    20. repec:pri:cepsud:91malkiel is not listed on IDEAS
    21. Muhammad Jamil & Farhan Ahmed & Gouranga Chandra Debnath & Štefan Bojnec, 2022. "Transition to Renewable Energy Production in the United States: The Role of Monetary, Fiscal, and Trade Policy Uncertainty," Energies, MDPI, vol. 15(13), pages 1-15, June.
    22. Hasan, Kazi Nazmul & Preece, Robin & Milanović, Jovica V., 2019. "Existing approaches and trends in uncertainty modelling and probabilistic stability analysis of power systems with renewable generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 168-180.
    23. Coelho, Vitor N. & Coelho, Igor M. & Coelho, Bruno N. & de Oliveira, Glauber C. & Barbosa, Alexandre C. & Pereira, Leo & de Freitas, Alan & Santos, Haroldo G. & Ochi, Luis S. & Guimarães, Frederico G., 2017. "A communitarian microgrid storage planning system inside the scope of a smart city," Applied Energy, Elsevier, vol. 201(C), pages 371-381.
    24. Pereiro, Luis E., 2006. "The practice of investment valuation in emerging markets: Evidence from Argentina," Journal of Multinational Financial Management, Elsevier, vol. 16(2), pages 160-183, April.
    Full references (including those not matched with items on IDEAS)

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