IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v230y2018icp679-695.html
   My bibliography  Save this article

Cascade energy optimization for waste heat recovery in distributed energy systems

Author

Listed:
  • Wang, Xuan
  • Jin, Ming
  • Feng, Wei
  • Shu, Gequn
  • Tian, Hua
  • Liang, Youcai

Abstract

The efficiency of distributed energy systems can be significantly increased through waste heat recovery from industry or power generation. The technologies used for this process are typically dependent on the quality and temperature grades of waste heat. To maximize the efficiency of cascade heat utilization, it is important to optimize the choice of waste heat recovery technologies and their operation. In this paper, a detailed mixed integer linear programming optimization model is proposed for waste heat recovery in a district-scale microgrid. The model can distinguish waste heat quality for planning and operation optimization of distributed energy systems. Heat utilization technologies are formulated in this developed model and categorized in different temperature grades. The developed model is validated using four typical cases under different settings of system operation and business models. It is found that the optimization model, by distinguishing waste heat temperature, can increase energy cost savings by around 5%, compared to models that do not consider waste heat temperature grades. Additionally, the results indicate that the developed model can provide more realistic configuration and technologies dispatch.

Suggested Citation

  • Wang, Xuan & Jin, Ming & Feng, Wei & Shu, Gequn & Tian, Hua & Liang, Youcai, 2018. "Cascade energy optimization for waste heat recovery in distributed energy systems," Applied Energy, Elsevier, vol. 230(C), pages 679-695.
    • Handle: RePEc:eee:appene:v:230:y:2018:i:c:p:679-695
    DOI: 10.1016/j.apenergy.2018.08.124
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261918312984
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2018.08.124?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. Niknam, Taher & Azizipanah-Abarghooee, Rasoul & Narimani, Mohammad Rasoul, 2012. "An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation," Applied Energy, Elsevier, vol. 99(C), pages 455-470.
    2. Wang, Tianyou & Zhang, Yajun & Peng, Zhijun & Shu, Gequn, 2011. "A review of researches on thermal exhaust heat recovery with Rankine cycle," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2862-2871, August.
    3. Forman, Clemens & Muritala, Ibrahim Kolawole & Pardemann, Robert & Meyer, Bernd, 2016. "Estimating the global waste heat potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1568-1579.
    4. Pezzuolo, Alex & Benato, Alberto & Stoppato, Anna & Mirandola, Alberto, 2016. "The ORC-PD: A versatile tool for fluid selection and Organic Rankine Cycle unit design," Energy, Elsevier, vol. 102(C), pages 605-620.
    5. Gewald, Daniela & Siokos, Konstantinos & Karellas, Sotirios & Spliethoff, Hartmut, 2012. "Waste heat recovery from a landfill gas-fired power plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 1779-1789.
    6. Aghaali, Habib & Ångström, Hans-Erik, 2015. "A review of turbocompounding as a waste heat recovery system for internal combustion engines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 813-824.
    7. Bischi, Aldo & Taccari, Leonardo & Martelli, Emanuele & Amaldi, Edoardo & Manzolini, Giampaolo & Silva, Paolo & Campanari, Stefano & Macchi, Ennio, 2014. "A detailed MILP optimization model for combined cooling, heat and power system operation planning," Energy, Elsevier, vol. 74(C), pages 12-26.
    8. Al Moussawi, Houssein & Fardoun, Farouk & Louahlia, Hasna, 2017. "Selection based on differences between cogeneration and trigeneration in various prime mover technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 491-511.
    9. Shu, Gequn & Li, Xiaoning & Tian, Hua & Liang, Xingyu & Wei, Haiqiao & Wang, Xu, 2014. "Alkanes as working fluids for high-temperature exhaust heat recovery of diesel engine using organic Rankine cycle," Applied Energy, Elsevier, vol. 119(C), pages 204-217.
    10. Akorede, Mudathir Funsho & Hizam, Hashim & Pouresmaeil, Edris, 2010. "Distributed energy resources and benefits to the environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 724-734, February.
    11. Ren, Hongbo & Gao, Weijun, 2010. "A MILP model for integrated plan and evaluation of distributed energy systems," Applied Energy, Elsevier, vol. 87(3), pages 1001-1014, March.
    12. Sayyaadi, Hoseyn & Babaie, Meisam & Farmani, Mohammad Reza, 2011. "Implementing of the multi-objective particle swarm optimizer and fuzzy decision-maker in exergetic, exergoeconomic and environmental optimization of a benchmark cogeneration system," Energy, Elsevier, vol. 36(8), pages 4777-4789.
    13. Gadd, Henrik & Werner, Sven, 2014. "Achieving low return temperatures from district heating substations," Applied Energy, Elsevier, vol. 136(C), pages 59-67.
    14. Ommen, Torben & Markussen, Wiebke Brix & Elmegaard, Brian, 2016. "Lowering district heating temperatures – Impact to system performance in current and future Danish energy scenarios," Energy, Elsevier, vol. 94(C), pages 273-291.
    15. Han, Wei & Sun, Liuli & Zheng, Danxing & Jin, Hongguang & Ma, Sijun & Jing, Xuye, 2013. "New hybrid absorption–compression refrigeration system based on cascade use of mid-temperature waste heat," Applied Energy, Elsevier, vol. 106(C), pages 383-390.
    16. Jin, Ming & Feng, Wei & Marnay, Chris & Spanos, Costas, 2018. "Microgrid to enable optimal distributed energy retail and end-user demand response," Applied Energy, Elsevier, vol. 210(C), pages 1321-1335.
    17. Gao, Penghui & Dai, Yanjun & Tong, YenWah & Dong, Pengwei, 2015. "Energy matching and optimization analysis of waste to energy CCHP (combined cooling, heating and power) system with exergy and energy level," Energy, Elsevier, vol. 79(C), pages 522-535.
    18. Oh, Si-Doek & Kim, Ki-Young & Oh, Shuk-Bum & Kwak, Ho-Young, 2012. "Optimal operation of a 1-kW PEMFC-based CHP system for residential applications," Applied Energy, Elsevier, vol. 95(C), pages 93-101.
    19. Cao, Tao & Hwang, Yunho & Radermacher, Reinhard, 2017. "Development of an optimization based design framework for microgrid energy systems," Energy, Elsevier, vol. 140(P1), pages 340-351.
    20. Jin, Ming & Feng, Wei & Liu, Ping & Marnay, Chris & Spanos, Costas, 2017. "MOD-DR: Microgrid optimal dispatch with demand response," Applied Energy, Elsevier, vol. 187(C), pages 758-776.
    21. Liu, Mingxi & Shi, Yang & Fang, Fang, 2013. "Optimal power flow and PGU capacity of CCHP systems using a matrix modeling approach," Applied Energy, Elsevier, vol. 102(C), pages 794-802.
    22. Anna, Petrenko, 2016. "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(1), March.
    23. Li, You-Rong & Wang, Jian-Ning & Du, Mei-Tang, 2012. "Influence of coupled pinch point temperature difference and evaporation temperature on performance of organic Rankine cycle," Energy, Elsevier, vol. 42(1), pages 503-509.
    24. Ommen, Torben & Markussen, Wiebke Brix & Elmegaard, Brian, 2014. "Comparison of linear, mixed integer and non-linear programming methods in energy system dispatch modelling," Energy, Elsevier, vol. 74(C), pages 109-118.
    25. Chen, Min & Lund, Henrik & Rosendahl, Lasse A. & Condra, Thomas J., 2010. "Energy efficiency analysis and impact evaluation of the application of thermoelectric power cycle to today's CHP systems," Applied Energy, Elsevier, vol. 87(4), pages 1231-1238, April.
    26. Lecompte, S. & Huisseune, H. & van den Broek, M. & De Schampheleire, S. & De Paepe, M., 2013. "Part load based thermo-economic optimization of the Organic Rankine Cycle (ORC) applied to a combined heat and power (CHP) system," Applied Energy, Elsevier, vol. 111(C), pages 871-881.
    27. Wang, Yaodong & Huang, Ye & Chiremba, Elijah & Roskilly, Anthony P. & Hewitt, Neil & Ding, Yulong & Wu, Dawei & Yu, Hongdong & Chen, Xiangping & Li, Yapeng & Huang, Jincheng & Wang, Ruzhu & Wu, Jingyi, 2011. "An investigation of a household size trigeneration running with hydrogen," Applied Energy, Elsevier, vol. 88(6), pages 2176-2182, June.
    28. Basrawi, Firdaus & Yamada, Takanobu & Obara, Shin’ya, 2014. "Economic and environmental based operation strategies of a hybrid photovoltaic–microgas turbine trigeneration system," Applied Energy, Elsevier, vol. 121(C), pages 174-183.
    29. Velik, Rosemarie & Nicolay, Pascal, 2014. "Grid-price-dependent energy management in microgrids using a modified simulated annealing triple-optimizer," Applied Energy, Elsevier, vol. 130(C), pages 384-395.
    30. Cedillos Alvarado, Dagoberto & Acha, Salvador & Shah, Nilay & Markides, Christos N., 2016. "A Technology Selection and Operation (TSO) optimisation model for distributed energy systems: Mathematical formulation and case study," Applied Energy, Elsevier, vol. 180(C), pages 491-503.
    31. Destro, Nicola & Benato, Alberto & Stoppato, Anna & Mirandola, Alberto, 2016. "Components design and daily operation optimization of a hybrid system with energy storages," Energy, Elsevier, vol. 117(P2), pages 569-577.
    32. Barelli, L. & Bidini, G. & Gallorini, F. & Ottaviano, A., 2012. "Dynamic analysis of PEMFC-based CHP systems for domestic application," Applied Energy, Elsevier, vol. 91(1), pages 13-28.
    33. Yang, Mina & Lee, Seung Yeob & Chung, Jin Taek & Kang, Yong Tae, 2017. "High efficiency H2O/LiBr double effect absorption cycles with multi-heat sources for tri-generation application," Applied Energy, Elsevier, vol. 187(C), pages 243-254.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Yonghao & Shi, Lingfeng & Tian, Hua & Li, Ligeng & Wang, Xuan & Sun, Xiaocun & Shu, Gequn, 2022. "Experiment on CO2–based combined cooling and power cycle: A multi-mode operating investigation," Applied Energy, Elsevier, vol. 313(C).
    2. Wang, Yongli & Li, Ruiwen & Dong, Huanran & Ma, Yuze & Yang, Jiale & Zhang, Fuwei & Zhu, Jinrong & Li, Shuqing, 2019. "Capacity planning and optimization of business park-level integrated energy system based on investment constraints," Energy, Elsevier, vol. 189(C).
    3. Gao, Lei & Hwang, Yunho & Cao, Tao, 2019. "An overview of optimization technologies applied in combined cooling, heating and power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    4. Agyeman, Stephen Duah & Lin, Boqiang, 2022. "Nonrenewable and renewable energy substitution, and low–carbon energy transition: Evidence from North African countries," Renewable Energy, Elsevier, vol. 194(C), pages 378-395.
    5. Khayyam, Hamid & Naebe, Minoo & Milani, Abbas S. & Fakhrhoseini, Seyed Mousa & Date, Abhijit & Shabani, Bahman & Atkiss, Steve & Ramakrishna, Seeram & Fox, Bronwyn & Jazar, Reza N., 2021. "Improving energy efficiency of carbon fiber manufacturing through waste heat recovery: A circular economy approach with machine learning," Energy, Elsevier, vol. 225(C).
    6. Wang, Xuan & Shu, Gequn & Tian, Hua & Wang, Rui & Cai, Jinwen, 2020. "Operation performance comparison of CCHP systems with cascade waste heat recovery systems by simulation and operation optimisation," Energy, Elsevier, vol. 206(C).
    7. Pina, Eduardo A. & Lozano, Miguel A. & Ramos, José C. & Serra, Luis M., 2020. "Tackling thermal integration in the synthesis of polygeneration systems for buildings," Applied Energy, Elsevier, vol. 269(C).
    8. Zauner, Christoph & Windholz, Bernd & Lauermann, Michael & Drexler-Schmid, Gerwin & Leitgeb, Thomas, 2020. "Development of an Energy Efficient Extrusion Factory employing a latent heat storage and a high temperature heat pump," Applied Energy, Elsevier, vol. 259(C).
    9. Théry Hétreux, Raphaële & Hétreux, Gilles & Floquet, Pascal & Leclercq, Alexandre, 2021. "The energy Extended Resource Task Network, a general formalism for the modeling of production systems:Application to waste heat valorization," Energy, Elsevier, vol. 214(C).
    10. Xu, Bin & Lin, Boqiang, 2022. "Exploring the spatial distribution of distributed energy in China," Energy Economics, Elsevier, vol. 107(C).
    11. Bai, Zhang & Liu, Qibin & Gong, Liang & Lei, Jing, 2019. "Application of a mid-/low-temperature solar thermochemical technology in the distributed energy system with cooling, heating and power production," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    12. Zhao, Yuxuan & Liu, Shengyuan & Lin, Zhenzhi & Wen, Fushuan & Ding, Yi, 2021. "Coordinated scheduling strategy for an integrated system with concentrating solar power plants and solar prosumers considering thermal interactions and demand flexibilities," Applied Energy, Elsevier, vol. 304(C).
    13. Guo, Jiacheng & Liu, Zhijian & Wu, Xuan & Wu, Di & Zhang, Shicong & Yang, Xinyan & Ge, Hua & Zhang, Peiwen, 2022. "Two-layer co-optimization method for a distributed energy system combining multiple energy storages," Applied Energy, Elsevier, vol. 322(C).
    14. Wu, Wencong & Du, Yuji & Qian, Huijin & Fan, Haibin & Jiang, Zhu & Huang, Shifang & Zhang, Xiaosong, 2024. "Industrial Park low-carbon energy system planning framework: Heat pump based energy conjugation between industry and buildings," Applied Energy, Elsevier, vol. 369(C).
    15. Mu, Chenlu & Ding, Tao & Qu, Ming & Zhou, Quan & Li, Fangxing & Shahidehpour, Mohammad, 2020. "Decentralized optimization operation for the multiple integrated energy systems with energy cascade utilization," Applied Energy, Elsevier, vol. 280(C).
    16. Xu, Bin & Luo, Yuemei & Xu, Renjing & Chen, Jianbao, 2021. "Exploring the driving forces of distributed energy resources in China: Using a semiparametric regression model," Energy, Elsevier, vol. 236(C).
    17. Ren, Hongbo & Wu, Qiong & Zhu, Qunzhi & Gao, Weijun, 2019. "Cost–benefit analysis of distributed energy systems considering multi-benefits and multi-stakeholders," Energy, Elsevier, vol. 189(C).
    18. Miguel Castro Oliveira & Muriel Iten & Henrique A. Matos, 2022. "Review on Water and Energy Integration in Process Industry: Water-Heat Nexus," Sustainability, MDPI, vol. 14(13), pages 1-24, June.

    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. Wang, Xuan & Shu, Gequn & Tian, Hua & Wang, Rui & Cai, Jinwen, 2020. "Dynamic performance comparison of different cascade waste heat recovery systems for internal combustion engine in combined cooling, heating and power," Applied Energy, Elsevier, vol. 260(C).
    2. Mu, Chenlu & Ding, Tao & Qu, Ming & Zhou, Quan & Li, Fangxing & Shahidehpour, Mohammad, 2020. "Decentralized optimization operation for the multiple integrated energy systems with energy cascade utilization," Applied Energy, Elsevier, vol. 280(C).
    3. Wang, Xuan & Shu, Gequn & Tian, Hua & Wang, Rui & Cai, Jinwen, 2020. "Operation performance comparison of CCHP systems with cascade waste heat recovery systems by simulation and operation optimisation," Energy, Elsevier, vol. 206(C).
    4. Al Moussawi, Houssein & Fardoun, Farouk & Louahlia, Hasna, 2017. "Selection based on differences between cogeneration and trigeneration in various prime mover technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 491-511.
    5. Jin, Ming & Feng, Wei & Marnay, Chris & Spanos, Costas, 2018. "Microgrid to enable optimal distributed energy retail and end-user demand response," Applied Energy, Elsevier, vol. 210(C), pages 1321-1335.
    6. Fuhaid Alshammari & Apostolos Karvountzis-Kontakiotis & Apostolos Pesyridis & Muhammad Usman, 2018. "Expander Technologies for Automotive Engine Organic Rankine Cycle Applications," Energies, MDPI, vol. 11(7), pages 1-36, July.
    7. Yang, Cheng & Huang, Zhifeng & Ma, Xiaoqian, 2018. "Comparative study on off-design characteristics of CHP based on GTCC under alternative operating strategy for gas turbine," Energy, Elsevier, vol. 145(C), pages 823-838.
    8. Shu, Gequn & Shi, Lingfeng & Tian, Hua & Deng, Shuai & Li, Xiaoya & Chang, Liwen, 2017. "Configurations selection maps of CO2-based transcritical Rankine cycle (CTRC) for thermal energy management of engine waste heat," Applied Energy, Elsevier, vol. 186(P3), pages 423-435.
    9. Han, Jie & Ouyang, Leixin & Xu, Yuzhen & Zeng, Rong & Kang, Shushuo & Zhang, Guoqiang, 2016. "Current status of distributed energy system in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 288-297.
    10. Zhang, Chong & Xue, Xue & Du, Qianzhou & Luo, Yimo & Gang, Wenjie, 2019. "Study on the performance of distributed energy systems based on historical loads considering parameter uncertainties for decision making," Energy, Elsevier, vol. 176(C), pages 778-791.
    11. Xuan Wang & Hua Tian & Gequn Shu, 2016. "Part-Load Performance Prediction and Operation Strategy Design of Organic Rankine Cycles with a Medium Cycle Used for Recovering Waste Heat from Gaseous Fuel Engines," Energies, MDPI, vol. 9(7), pages 1-21, July.
    12. Gao, Lei & Hwang, Yunho & Cao, Tao, 2019. "An overview of optimization technologies applied in combined cooling, heating and power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    13. Le Brun, Niccolo & Simpson, Michael & Acha, Salvador & Shah, Nilay & Markides, Christos N., 2020. "Techno-economic potential of low-temperature, jacket-water heat recovery from stationary internal combustion engines with organic Rankine cycles: A cross-sector food-retail study," Applied Energy, Elsevier, vol. 274(C).
    14. Jin, Ming & Feng, Wei & Liu, Ping & Marnay, Chris & Spanos, Costas, 2017. "MOD-DR: Microgrid optimal dispatch with demand response," Applied Energy, Elsevier, vol. 187(C), pages 758-776.
    15. Lion, Simone & Michos, Constantine N. & Vlaskos, Ioannis & Rouaud, Cedric & Taccani, Rodolfo, 2017. "A review of waste heat recovery and Organic Rankine Cycles (ORC) in on-off highway vehicle Heavy Duty Diesel Engine applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 691-708.
    16. Chen, Yen-Haw & Lu, Su-Ying & Chang, Yung-Ruei & Lee, Ta-Tung & Hu, Ming-Che, 2013. "Economic analysis and optimal energy management models for microgrid systems: A case study in Taiwan," Applied Energy, Elsevier, vol. 103(C), pages 145-154.
    17. Liya Ren & Jianyu Liu & Huaixin Wang, 2020. "Thermodynamic Optimization of a Waste Heat Power System under Economic Constraint," Energies, MDPI, vol. 13(13), pages 1-23, July.
    18. Chen, Yizhong & He, Li & Li, Jing, 2017. "Stochastic dominant-subordinate-interactive scheduling optimization for interconnected microgrids with considering wind-photovoltaic-based distributed generations under uncertainty," Energy, Elsevier, vol. 130(C), pages 581-598.
    19. Chang, Huawei & Wan, Zhongmin & Zheng, Yao & Chen, Xi & Shu, Shuiming & Tu, Zhengkai & Chan, Siew Hwa & Chen, Rui & Wang, Xiaodong, 2017. "Energy- and exergy-based working fluid selection and performance analysis of a high-temperature PEMFC-based micro combined cooling heating and power system," Applied Energy, Elsevier, vol. 204(C), pages 446-458.
    20. Najafi, Arsalan & Falaghi, Hamid & Contreras, Javier & Ramezani, Maryam, 2016. "Medium-term energy hub management subject to electricity price and wind uncertainty," Applied Energy, Elsevier, vol. 168(C), pages 418-433.

    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:appene:v:230:y:2018:i:c:p:679-695. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.