IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v221y2024ics0960148123016658.html
   My bibliography  Save this article

A clean optimization approach for sustainable waste-to-energy using integrated technology

Author

Listed:
  • Shi, Yi
  • Huang, Yidan
  • Xu, Jiuping

Abstract

In this study, we propose an innovative approach to regulate municipal solid waste (MSW) resource utilization and renewable energy conversion. Under the concept of circular economy, clean anaerobic digestion (AD) and gasification are combined to form integrated technology to achieve sustainable waste-to-energy. A matched multi-objective optimization model is developed to balance the economic and environmental benefits during the waste-to-energy process under uncertainty. Robust optimization is used to produce optimal solutions that are feasible even in the worst-case scenario in terms of uncertain parameters. The practicality of the proposed methodology is tested in a real-world case, and it is found that utilizing integrated technology can effectively carry out MSW resource utilization while also obtaining ample renewable energy. Robust optimization is used to conduct scenario analyses on the fluctuation interval of the uncertain electricity subsidy in order to assess its impact on the model solutions. It was found that the cost and carbon emission objectives were highly sensitive to changes in electricity subsidy. Although AD has been the primary technology used for waste-to-energy, the use of gasification in integrated technology has been increasing. While the treatment plans of various MSW types were different, there were still some commonalities.

Suggested Citation

  • Shi, Yi & Huang, Yidan & Xu, Jiuping, 2024. "A clean optimization approach for sustainable waste-to-energy using integrated technology," Renewable Energy, Elsevier, vol. 221(C).
  • Handle: RePEc:eee:renene:v:221:y:2024:i:c:s0960148123016658
    DOI: 10.1016/j.renene.2023.119750
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123016658
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2023.119750?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. Marc Goetschalckx, 2011. "Supply Chain Engineering," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6512-7, December.
    2. Zhang, Jingxin & Hu, Qiang & Qu, Yiyuan & Dai, Yanjun & He, Yiliang & Wang, Chi-Hwa & Tong, Yen Wah, 2020. "Integrating food waste sorting system with anaerobic digestion and gasification for hydrogen and methane co-production," Applied Energy, Elsevier, vol. 257(C).
    3. Yuhong Shuai & Liming Yao, 2021. "Adjustable Robust Optimization for Multi-Period Water Allocation in Droughts Under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 4043-4065, September.
    4. Zhu, H. & Huang, W.W. & Huang, G.H., 2014. "Planning of regional energy systems: An inexact mixed-integer fractional programming model," Applied Energy, Elsevier, vol. 113(C), pages 500-514.
    5. Dumas, Marion & Rising, James & Urpelainen, Johannes, 2016. "Political competition and renewable energy transitions over long time horizons: A dynamic approach," Ecological Economics, Elsevier, vol. 124(C), pages 175-184.
    6. Badcock, Jeremy & Lenzen, Manfred, 2010. "Subsidies for electricity-generating technologies: A review," Energy Policy, Elsevier, vol. 38(9), pages 5038-5047, September.
    7. Abdel daiem, Mahmoud M. & Hatata, Ahmed & Galal, Osama H. & Said, Noha & Ahmed, Dalia, 2021. "Prediction of biogas production from anaerobic co-digestion of waste activated sludge and wheat straw using two-dimensional mathematical models and an artificial neural network," Renewable Energy, Elsevier, vol. 178(C), pages 226-240.
    8. Zhang, Huiming & Aytun Ozturk, U. & Wang, Qunwei & Zhao, Zengyao, 2014. "Biodiesel produced by waste cooking oil: Review of recycling modes in China, the US and Japan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 677-685.
    9. Kumar, Atul & Samadder, S.R., 2020. "Performance evaluation of anaerobic digestion technology for energy recovery from organic fraction of municipal solid waste: A review," Energy, Elsevier, vol. 197(C).
    10. Shi, Yi & Deng, Yawen & Wang, Guoan & Xu, Jiuping, 2020. "Stackelberg equilibrium-based eco-economic approach for sustainable development of kitchen waste disposal with subsidy policy: A case study from China," Energy, Elsevier, vol. 196(C).
    11. Zhang, Huiming & Li, Lianshui & Zhou, Peng & Hou, Jianmin & Qiu, Yueming, 2014. "Subsidy modes, waste cooking oil and biofuel: Policy effectiveness and sustainable supply chains in China," Energy Policy, Elsevier, vol. 65(C), pages 270-274.
    12. Song, Han & Dotzauer, Erik & Thorin, Eva & Guziana, Bozena & Huopana, Tuomas & Yan, Jinyue, 2012. "A dynamic model to optimize a regional energy system with waste and crops as energy resources for greenhouse gases mitigation," Energy, Elsevier, vol. 46(1), pages 522-532.
    13. A. L. Soyster, 1973. "Technical Note—Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming," Operations Research, INFORMS, vol. 21(5), pages 1154-1157, October.
    14. Thomas, Douglas J. & Griffin, Paul M., 1996. "Coordinated supply chain management," European Journal of Operational Research, Elsevier, vol. 94(1), pages 1-15, October.
    15. Salehiyoun, Ahmad Reza & Zilouei, Hamid & Safari, Mohammad & Di Maria, Francesco & Samadi, Seyed Hashem & Norouzi, Omid, 2022. "An investigation for improving dry anaerobic digestion of municipal solid wastes by adding biochar derived from gasification of wood pellets," Renewable Energy, Elsevier, vol. 186(C), pages 1-9.
    16. Dimitris Bertsimas & Melvyn Sim, 2004. "The Price of Robustness," Operations Research, INFORMS, vol. 52(1), pages 35-53, February.
    17. Wang, Fei-Long & He, Ya-Ling & Tang, Song-Zhen & Kulacki, Francis A. & Tao, Yu-Bing, 2019. "Multi-objective optimization of a dual-layer granular filter for hot gas clean-up by using genetic algorithm," Applied Energy, Elsevier, vol. 248(C), pages 463-474.
    18. Broberg, Thomas & Dijkgraaf, Elbert & Meens-Eriksson, Sef, 2022. "Burn or let them bury? The net social cost of producing district heating from imported waste," Energy Economics, Elsevier, vol. 105(C).
    19. Lv, Chengwei & Xu, Jiuping & Xie, Heping & Zeng, Ziqiang & Wu, Yimin, 2016. "Equilibrium strategy based coal blending method for combined carbon and PM10 emissions reductions," Applied Energy, Elsevier, vol. 183(C), pages 1035-1052.
    20. Wu, Huiting & Colson, Gregory & Escalante, Cesar & Wetzstein, Michael, 2012. "An optimal U.S. biodiesel fuel subsidy," Energy Policy, Elsevier, vol. 48(C), pages 601-610.
    21. Rowińska, Paulina A. & Veraart, Almut E.D. & Gruet, Pierre, 2021. "A multi-factor approach to modelling the impact of wind energy on electricity spot prices," Energy Economics, Elsevier, vol. 104(C).
    22. Xu, Jiuping & Huang, Qian & Lv, Chengwei & Feng, Qing & Wang, Fengjuan, 2018. "Carbon emissions reductions oriented dynamic equilibrium strategy using biomass-coal co-firing," Energy Policy, Elsevier, vol. 123(C), pages 184-197.
    23. He, Jiaxin & Lin, Boqiang, 2019. "Assessment of waste incineration power with considerations of subsidies and emissions in China," Energy Policy, Elsevier, vol. 126(C), pages 190-199.
    24. Korhonen, Jouni & Honkasalo, Antero & Seppälä, Jyri, 2018. "Circular Economy: The Concept and its Limitations," Ecological Economics, Elsevier, vol. 143(C), pages 37-46.
    25. Upadhyay, Thakur Prasad & Shahi, Chander & Leitch, Mathew & Pulkki, Reino, 2012. "Economic feasibility of biomass gasification for power generation in three selected communities of northwestern Ontario, Canada," Energy Policy, Elsevier, vol. 44(C), pages 235-244.
    26. Zhou, Hui & Meng, AiHong & Long, YanQiu & Li, QingHai & Zhang, YanGuo, 2014. "An overview of characteristics of municipal solid waste fuel in China: Physical, chemical composition and heating value," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 107-122.
    27. Safarian, Sahar & Unnthorsson, Runar & Richter, Christiaan, 2020. "Performance analysis and environmental assessment of small-scale waste biomass gasification integrated CHP in Iceland," Energy, Elsevier, vol. 197(C).
    28. Huang, Weixiang & Zhou, Wenhui & Chen, Jiguang & Chen, Xiaohong, 2019. "The government’s optimal subsidy scheme under Manufacturers’ competition of price and product energy efficiency," Omega, Elsevier, vol. 84(C), pages 70-101.
    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. Shi, Yi & Xu, Jiuping, 2023. "A multi-objective approach to kitchen waste and excess sludge co-digestion for biomethane production with anaerobic digestion," Energy, Elsevier, vol. 262(PA).
    2. Shi, Yi & Deng, Yawen & Wang, Guoan & Xu, Jiuping, 2020. "Stackelberg equilibrium-based eco-economic approach for sustainable development of kitchen waste disposal with subsidy policy: A case study from China," Energy, Elsevier, vol. 196(C).
    3. Xu, Jiuping & Huang, Yidan & Shi, Yi & Li, Ruolan, 2022. "Reverse supply chain management approach for municipal solid waste with waste sorting subsidy policy," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    4. Yan, Shiyu & Lv, Chengwei & Yao, Liming & Hu, Zhineng & Wang, Fengjuan, 2022. "Hybrid dynamic coal blending method to address multiple environmental objectives under a carbon emissions allocation mechanism," Energy, Elsevier, vol. 254(PB).
    5. Wenqing Chen & Melvyn Sim & Jie Sun & Chung-Piaw Teo, 2010. "From CVaR to Uncertainty Set: Implications in Joint Chance-Constrained Optimization," Operations Research, INFORMS, vol. 58(2), pages 470-485, April.
    6. Stefan Mišković, 2017. "A VNS-LP algorithm for the robust dynamic maximal covering location problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(4), pages 1011-1033, October.
    7. Jeong, Jaehee & Premsankar, Gopika & Ghaddar, Bissan & Tarkoma, Sasu, 2024. "A robust optimization approach for placement of applications in edge computing considering latency uncertainty," Omega, Elsevier, vol. 126(C).
    8. Xu, Jiuping & Shu, Kejing & Wang, Fengjuan & Yang, Guocan, 2024. "Bi-level multi-objective distribution strategy integrating the permit trading scheme towards coal production capacity layout optimization: Case study from China," Resources Policy, Elsevier, vol. 91(C).
    9. Liu, Shen & Colson, Gregory & Hao, Na & Wetzstein, Michael, 2018. "Toward an optimal household solar subsidy: A social-technical approach," Energy, Elsevier, vol. 147(C), pages 377-387.
    10. Beck, Yasmine & Ljubić, Ivana & Schmidt, Martin, 2023. "A survey on bilevel optimization under uncertainty," European Journal of Operational Research, Elsevier, vol. 311(2), pages 401-426.
    11. Antonio G. Martín & Manuel Díaz-Madroñero & Josefa Mula, 2020. "Master production schedule using robust optimization approaches in an automobile second-tier supplier," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(1), pages 143-166, March.
    12. Qiuyun Zhu & Xiaoyang Zhou & Aijun Liu & Chong Gao & Lei Xu & Fan Zhao & Ding Zhang & Benjamin Lev, 2022. "Equilibrium Optimization with Multi-Energy-Efficiency-Grade Products: Government and Market Perspective," Energies, MDPI, vol. 15(19), pages 1-23, October.
    13. Roberto Gomes de Mattos & Fabricio Oliveira & Adriana Leiras & Abdon Baptista de Paula Filho & Paulo Gonçalves, 2019. "Robust optimization of the insecticide-treated bed nets procurement and distribution planning under uncertainty for malaria prevention and control," Annals of Operations Research, Springer, vol. 283(1), pages 1045-1078, December.
    14. F. Davarian & J. Behnamian, 2022. "Robust finite-horizon scheduling/rescheduling of operating rooms with elective and emergency surgeries under resource constraints," Journal of Scheduling, Springer, vol. 25(6), pages 625-641, December.
    15. Antonio J. Conejo & Nicholas G. Hall & Daniel Zhuoyu Long & Runhao Zhang, 2021. "Robust Capacity Planning for Project Management," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1533-1550, October.
    16. Wang, Fan & Zhang, Chao & Zhang, Hui & Xu, Liang, 2021. "Short-term physician rescheduling model with feature-driven demand for mental disorders outpatients," Omega, Elsevier, vol. 105(C).
    17. Zhi Chen & Melvyn Sim & Peng Xiong, 2020. "Robust Stochastic Optimization Made Easy with RSOME," Management Science, INFORMS, vol. 66(8), pages 3329-3339, August.
    18. Zhang, Yan & Fu, Lijun & Zhu, Wanlu & Bao, Xianqiang & Liu, Cang, 2018. "Robust model predictive control for optimal energy management of island microgrids with uncertainties," Energy, Elsevier, vol. 164(C), pages 1229-1241.
    19. Sahar Moazzeni & Sobhan Mostafayi Darmian & Lars Magnus Hvattum, 2023. "Multiple criteria decision making and robust optimization to design a development plan for small and medium-sized enterprises in the east of Iran," Operational Research, Springer, vol. 23(1), pages 1-32, March.
    20. Detienne, Boris & Lefebvre, Henri & Malaguti, Enrico & Monaci, Michele, 2024. "Adjustable robust optimization with objective uncertainty," European Journal of Operational Research, Elsevier, vol. 312(1), pages 373-384.

    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:renene:v:221:y:2024:i:c:s0960148123016658. 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/renewable-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.