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Energy Management Strategy in Campus Towards a Green Campus Through Promoting Carbon Footprint and Energy Efficiency Index Improving

Author

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  • Nundang Busaeri

    (Department of Electrical Engineering, Faculty of Engineering, Universitas Siliwangi, Indonesia,)

  • Ida Ayu Dwi Giriantari

    (Department of Electrical Engineering, Faculty of Engineering, Udayana University, Indonesia.)

  • Wayan Gede Ariastina

    (Department of Electrical Engineering, Faculty of Engineering, Udayana University, Indonesia.)

  • I. B. Alit Swamardika

    (Department of Electrical Engineering, Faculty of Engineering, Udayana University, Indonesia.)

Abstract

The energy management strategy is the key to increasing the energy efficiency index (EEI) and controlling buildings carbon emissions. This article discusses the energy policy strategy at Siliwangi University based on four main components of green campus: the profile of the electricity load, energy consumption, the rate of the number of vehicles, and vehicle activity in the campus environment. We propose four scenarios to meet the EEI and carbon emissions standards in 2025. The analysis of carbon emission production uses the UI Green Metric approach by referring to the carbon emission strategy from the Climate Action Tracker (CAT) and the profile of the world bank. Simultaneously, the EEI analysis uses the ASEANUSAID standard, which is also used in the Indonesian National Standard (SNI). The conclusion is that even with the highest scenario to meet the target EEI level in 2025, Siliwangi University can only reach the EEI level in the Extremely Efficient category for the area with AC facilities and Extremely-Inefficient class for the area with AC facilities. The analysis results show that the most considerable contribution of carbon emissions is from motorbikes, 66%, cars and buses 33% and electricity use only 1.4%. Although the use of electricity does not have a significant emission impact, the EEI analysis results show a tendency towards electricity waste. Siliwangi University must immediately implement electric vehicles on campus to reduce carbon emissions from the mobility of motorbikes, cars, and buses.

Suggested Citation

  • Nundang Busaeri & Ida Ayu Dwi Giriantari & Wayan Gede Ariastina & I. B. Alit Swamardika, 2021. "Energy Management Strategy in Campus Towards a Green Campus Through Promoting Carbon Footprint and Energy Efficiency Index Improving," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 374-382.
  • Handle: RePEc:eco:journ2:2021-04-44
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    References listed on IDEAS

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    1. Nusrat Chowdhury & Chowdhury Akram Hossain & Michela Longo & Wahiba Yaïci, 2018. "Optimization of Solar Energy System for the Electric Vehicle at University Campus in Dhaka, Bangladesh," Energies, MDPI, vol. 11(9), pages 1-10, September.
    2. Abu Bakar, Nur Najihah & Hassan, Mohammad Yusri & Abdullah, Hayati & Rahman, Hasimah Abdul & Abdullah, Md Pauzi & Hussin, Faridah & Bandi, Masilah, 2015. "Energy efficiency index as an indicator for measuring building energy performance: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 1-11.
    3. Edurne Loyarte-López & Mario Barral & Juan Carlos Morla, 2020. "Methodology for Carbon Footprint Calculation Towards Sustainable Innovation in Intangible Assets," Sustainability, MDPI, vol. 12(4), pages 1-14, February.
    4. Giulia Sonetti & Patrizia Lombardi & Lorenzo Chelleri, 2016. "True Green and Sustainable University Campuses? Toward a Clusters Approach," Sustainability, MDPI, vol. 8(1), pages 1-23, January.
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    Cited by:

    1. Ivo Araújo & Leonel J. R. Nunes & António Curado, 2023. "Preliminary Approach for the Development of Sustainable University Campuses: A Case Study Based on the Mitigation of Greenhouse Gas Emissions," Sustainability, MDPI, vol. 15(6), pages 1-18, March.

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    More about this item

    Keywords

    Energy; Strategy; Carbon Footprint; Energy Efficiency Index; emission;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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