IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v229y2021ics0360544221009932.html
   My bibliography  Save this article

Optimal synthesis of multi-product energy systems under neutrosophic environment

Author

Listed:
  • Tapia, John Frederick D.

Abstract

Integration of multiple production technologies to produce energy in various vectors develops more efficient and sustainable multi-product energy systems—this integration results in reduced waste generation, increased efficiency, and higher economic benefits. Synthesis of energy systems requires planning under uncertainties that can result in risky technological investments. Management of these risks can result to a robust and flexible energy system. This study develops a novel neutrosophic optimization model to address these uncertainties. It involves treating product demands, waste targets, and economic benefits as interval-valued neutrosophic numbers. Three characteristic functions under the neutrosophic environment are considered: membership, non-membership, and indeterminacy. Two case studies are used to illustrate the model: one involves a polygeneration plant, and another involves an integrated biorefinery. Sensitivity analyses were performed for each case, adjusting the levels of risk tolerance in the neutrosophic environment. The model generates relevant process design insights such as technology selection and optimal output levels. A design that balances environmental impacts and economic benefits is also generated. The insights that can be generated by the model allows policymakers and plant developers to manage risks with multi-product energy systems.

Suggested Citation

  • Tapia, John Frederick D., 2021. "Optimal synthesis of multi-product energy systems under neutrosophic environment," Energy, Elsevier, vol. 229(C).
  • Handle: RePEc:eee:energy:v:229:y:2021:i:c:s0360544221009932
    DOI: 10.1016/j.energy.2021.120745
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221009932
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2021.120745?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Martinsen, Dag & Krey, Volker, 2008. "Compromises in energy policy--Using fuzzy optimization in an energy systems model," Energy Policy, Elsevier, vol. 36(8), pages 2973-2984, August.
    2. Zeinolabedin Sadeghi & Yahya Hatami & Seyed Abdolmajid Jalaei & Amir Abdollahi, 2020. "Generation capacity expansion economic-environmental planning under uncertainty of demand and supply," Environment Systems and Decisions, Springer, vol. 40(4), pages 544-559, December.
    3. Pan, Guangsheng & Gu, Wei & Qiu, Haifeng & Lu, Yuping & Zhou, Suyang & Wu, Zhi, 2020. "Bi-level mixed-integer planning for electricity-hydrogen integrated energy system considering levelized cost of hydrogen," Applied Energy, Elsevier, vol. 270(C).
    4. Moradi, Mohammad H. & Hajinazari, Mehdi & Jamasb, Shahriar & Paripour, Mahmoud, 2013. "An energy management system (EMS) strategy for combined heat and power (CHP) systems based on a hybrid optimization method employing fuzzy programming," Energy, Elsevier, vol. 49(C), pages 86-101.
    5. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    6. Jarvis, Sean M. & Samsatli, Sheila, 2018. "Technologies and infrastructures underpinning future CO2 value chains: A comprehensive review and comparative analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 85(C), pages 46-68.
    7. Siksnelyte, Indre & Zavadskas, Edmundas Kazimieras & Bausys, Romualdas & Streimikiene, Dalia, 2019. "Implementation of EU energy policy priorities in the Baltic Sea Region countries: Sustainability assessment based on neutrosophic MULTIMOORA method," Energy Policy, Elsevier, vol. 125(C), pages 90-102.
    8. Lee, Jui-Yuan & Aviso, Kathleen B. & Tan, Raymond R., 2019. "Multi-objective optimisation of hybrid power systems under uncertainties," Energy, Elsevier, vol. 175(C), pages 1271-1282.
    9. Kumar, K. Prakash & Saravanan, B., 2017. "Recent techniques to model uncertainties in power generation from renewable energy sources and loads in microgrids – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 348-358.
    10. Pilpola, Sannamari & Lund, Peter D., 2020. "Analyzing the effects of uncertainties on the modelling of low-carbon energy system pathways," Energy, Elsevier, vol. 201(C).
    11. Ren, Jingzheng & An, Da & Liang, Hanwei & Dong, Liang & Gao, Zhiqiu & Geng, Yong & Zhu, Qinghua & Song, Shaoxian & Zhao, Wenhui, 2016. "Life cycle energy and CO2 emission optimization for biofuel supply chain planning under uncertainties," Energy, Elsevier, vol. 103(C), pages 151-166.
    12. Aviso, Kathleen B. & Tan, Raymond R., 2018. "Fuzzy P-graph for optimal synthesis of cogeneration and trigeneration systems," Energy, Elsevier, vol. 154(C), pages 258-268.
    13. Lim, Juin Yau & How, Bing Shen & Rhee, Gahee & Hwangbo, Soonho & Yoo, Chang Kyoo, 2020. "Transitioning of localized renewable energy system towards sustainable hydrogen development planning: P-graph approach," Applied Energy, Elsevier, vol. 263(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lopion, Peter & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "A review of current challenges and trends in energy systems modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 156-166.
    2. Pizarro-Alonso, Amalia & Ravn, Hans & Münster, Marie, 2019. "Uncertainties towards a fossil-free system with high integration of wind energy in long-term planning," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    3. Anastasia Soukhov & Ahmed Foda & Moataz Mohamed, 2022. "Electric Mobility Emission Reduction Policies: A Multi-Objective Optimization Assessment Approach," Energies, MDPI, vol. 15(19), pages 1-21, September.
    4. Stojiljković, Mirko M., 2017. "Bi-level multi-objective fuzzy design optimization of energy supply systems aided by problem-specific heuristics," Energy, Elsevier, vol. 137(C), pages 1231-1251.
    5. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    6. Àlex Alonso-Travesset & Helena Martín & Sergio Coronas & Jordi de la Hoz, 2022. "Optimization Models under Uncertainty in Distributed Generation Systems: A Review," Energies, MDPI, vol. 15(5), pages 1-40, March.
    7. Lim, Juin Yau & Safder, Usman & How, Bing Shen & Ifaei, Pouya & Yoo, Chang Kyoo, 2021. "Nationwide sustainable renewable energy and Power-to-X deployment planning in South Korea assisted with forecasting model," Applied Energy, Elsevier, vol. 283(C).
    8. Tan, R.R. & Aviso, K.B. & Ng, D.K.S., 2019. "Optimization models for financing innovations in green energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    9. Xu-Hui Li & Lin Huang & Qiang Li & Hu-Chen Liu, 2020. "Passenger Satisfaction Evaluation of Public Transportation Using Pythagorean Fuzzy MULTIMOORA Method under Large Group Environment," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
    10. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    11. Anca N. Iuga (Butnariu) & Vasile N. Popa & Luminița I. Popa, 2018. "Comparative Analysis of Automotive Products Regarding the Influence of Eco-Friendly Methods to Emissions’ Reduction," Energies, MDPI, vol. 12(1), pages 1-24, December.
    12. Luca Urbanucci & Francesco D’Ettorre & Daniele Testi, 2019. "A Comprehensive Methodology for the Integrated Optimal Sizing and Operation of Cogeneration Systems with Thermal Energy Storage," Energies, MDPI, vol. 12(5), pages 1-17, March.
    13. Vaziri Rad, Mohammad Amin & Kasaeian, Alibakhsh & Niu, Xiaofeng & Zhang, Kai & Mahian, Omid, 2023. "Excess electricity problem in off-grid hybrid renewable energy systems: A comprehensive review from challenges to prevalent solutions," Renewable Energy, Elsevier, vol. 212(C), pages 538-560.
    14. Zhiming Lu & Youting Li & Guying Zhuo & Chuanbo Xu, 2023. "Configuration Optimization of Hydrogen-Based Multi-Microgrid Systems under Electricity Market Trading and Different Hydrogen Production Strategies," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    15. Yokoyama, Ryohei & Tokunaga, Akira & Wakui, Tetsuya, 2018. "Robust optimal design of energy supply systems under uncertain energy demands based on a mixed-integer linear model," Energy, Elsevier, vol. 153(C), pages 159-169.
    16. Lingling Zhou & Tao Shi & Qian Zhou, 2023. "Is ICT Development Conducive to Reducing the Vulnerability of Low-Carbon Energy? Evidence from OECD Countries," IJERPH, MDPI, vol. 20(3), pages 1-22, January.
    17. Md Shafiul Alam & Fahad Saleh Al-Ismail & Mohammad Ali Abido, 2021. "PV/Wind-Integrated Low-Inertia System Frequency Control: PSO-Optimized Fractional-Order PI-Based SMES Approach," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
    18. Yokoyama, Ryohei & Nakamura, Ryo & Wakui, Tetsuya, 2017. "Performance comparison of energy supply systems under uncertain energy demands based on a mixed-integer linear model," Energy, Elsevier, vol. 137(C), pages 878-887.
    19. Liang, M.S. & Huang, G.H. & Chen, J.P. & Li, Y.P., 2022. "Development of non-deterministic energy-water-carbon nexus planning model: A case study of Shanghai, China," Energy, Elsevier, vol. 246(C).
    20. Zachary A. Collier & James H. Lambert & Igor Linkov, 2020. "Analytics and decision-making to inform public policy in response to diverse threats," Environment Systems and Decisions, Springer, vol. 40(4), pages 463-464, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:229:y:2021:i:c:s0360544221009932. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.