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Assessment of energy credits for the enhancement of the Egyptian Green Pyramid Rating System

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  • Abdel Aleem, Shady H.E.
  • Zobaa, Ahmed F.
  • Abdel Mageed, Hala M.

Abstract

Energy is one of the most important categories in the Green Building Rating Systems all over the world. Green Building is a building that meets the energy requirements of the present with low energy consumption and investment costs without infringing on the rights of forthcoming generations to find their own needs. Despite having more than a qualified rating system, it is clear that each system has different priorities and needs on the other. Accordingly, this paper proposes a methodology using the Analytic Hierarchy Process (AHP) for assessment of the energy credits through studying and comparing four of the common global rating systems, the British Building Research Establishment Environmental Assessment Method (BREEAM), the American Leadership in Energy and Environmental Design (LEED), the Australian Green Stars (GS), and the PEARL assessment system of the United Arab Emirates, in order to contribute to the enhancement of the Egyptian Green Pyramid Rating System (GPRS). The results show the mandatory and optional energy credits that should be considered with their proposed weights according to the present and future needs of green Egypt. The results are compared to data gathered through desk studies and results extracted from recent questionnaires.

Suggested Citation

  • Abdel Aleem, Shady H.E. & Zobaa, Ahmed F. & Abdel Mageed, Hala M., 2015. "Assessment of energy credits for the enhancement of the Egyptian Green Pyramid Rating System," Energy Policy, Elsevier, vol. 87(C), pages 407-416.
    • Handle: RePEc:eee:enepol:v:87:y:2015:i:c:p:407-416
    DOI: 10.1016/j.enpol.2015.09.033
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    References listed on IDEAS

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    1. World Bank, 2015. "World Development Indicators 2015," World Bank Publications - Books, The World Bank Group, number 21634, December.
    2. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    3. Wafiq, A. & Hanafy, M., 2015. "Feasibility assessment of diesel fuel production in Egypt using coal and biomass: Integrated novel methodology," Energy, Elsevier, vol. 85(C), pages 522-533.
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    Cited by:

    1. Silvia Vilčeková & Iveta Selecká & Eva Krídlová Burdová & Ľudmila Mečiarová, 2018. "Interlinked Sustainability Aspects of Low-Rise Residential Family House Development in Slovakia," Sustainability, MDPI, vol. 10(11), pages 1-28, October.
    2. George S. Fernandez & Vijayakumar Krishnasamy & Selvakumar Kuppusamy & Jagabar S. Ali & Ziad M. Ali & Adel El-Shahat & Shady H. E. Abdel Aleem, 2020. "Optimal Dynamic Scheduling of Electric Vehicles in a Parking Lot Using Particle Swarm Optimization and Shuffled Frog Leaping Algorithm," Energies, MDPI, vol. 13(23), pages 1-26, December.
    3. Ziad M. Ali & Shady H. E. Abdel Aleem & Ahmed I. Omar & Bahaa Saad Mahmoud, 2022. "Economical-Environmental-Technical Operation of Power Networks with High Penetration of Renewable Energy Systems Using Multi-Objective Coronavirus Herd Immunity Algorithm," Mathematics, MDPI, vol. 10(7), pages 1-43, April.
    4. Changqing Luo & Siyuan Fan & Qi Zhang, 2017. "Investigating the Influence of Green Credit on Operational Efficiency and Financial Performance Based on Hybrid Econometric Models," IJFS, MDPI, vol. 5(4), pages 1-19, November.
    5. Elbasuony, Ghada S. & Abdel Aleem, Shady H.E. & Ibrahim, Ahmed M. & Sharaf, Adel M., 2018. "A unified index for power quality evaluation in distributed generation systems," Energy, Elsevier, vol. 149(C), pages 607-622.
    6. Yevheniia Ziabina & Aleksy Kwilinski & Oleksii Lyulyov & Tetyana Pimonenko & Yana Us, 2023. "Convergence of Energy Policies between the EU and Ukraine under the Green Deal Policy," Energies, MDPI, vol. 16(2), pages 1-19, January.
    7. Sherif M. Ismael & Shady H. E. Abdel Aleem & Almoataz Y. Abdelaziz & Ahmed F. Zobaa, 2019. "Probabilistic Hosting Capacity Enhancement in Non-Sinusoidal Power Distribution Systems Using a Hybrid PSOGSA Optimization Algorithm," Energies, MDPI, vol. 12(6), pages 1-23, March.

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