IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v104y2013icp910-923.html
   My bibliography  Save this article

Optimization criteria for cogeneration systems: Multi-objective approach and application in an hospital facility

Author

Listed:
  • Gimelli, Alfredo
  • Muccillo, Massimiliano

Abstract

Cogeneration is commonly recognized as one of the most effective solutions to achieve the increasingly stringent requirements in primary energy consumption reduction and greenhouse emissions reduction. The potential of cogeneration led to the adoption of specific directives promoting this technique. In addition, distributed generation plays a strategic role in power reliability. The study and prototyping of cogeneration plants has thus involved many research centers. Similar activities were carried out by DiME (University of Naples). These activities highlighted the need to study the cogeneration system-user interaction to estimate the real energetic and economic benefits.

Suggested Citation

  • Gimelli, Alfredo & Muccillo, Massimiliano, 2013. "Optimization criteria for cogeneration systems: Multi-objective approach and application in an hospital facility," Applied Energy, Elsevier, vol. 104(C), pages 910-923.
    • Handle: RePEc:eee:appene:v:104:y:2013:i:c:p:910-923
    DOI: 10.1016/j.apenergy.2012.11.076
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261912008860
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2012.11.076?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. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa, 2010. "Optimization of capacity and operation for CCHP system by genetic algorithm," Applied Energy, Elsevier, vol. 87(4), pages 1325-1335, April.
    2. Serra, Luis M. & Lozano, Miguel-Angel & Ramos, Jose & Ensinas, Adriano V. & Nebra, Silvia A., 2009. "Polygeneration and efficient use of natural resources," Energy, Elsevier, vol. 34(5), pages 575-586.
    3. Ren, Hongbo & Zhou, Weisheng & Nakagami, Ken'ichi & Gao, Weijun & Wu, Qiong, 2010. "Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects," Applied Energy, Elsevier, vol. 87(12), pages 3642-3651, December.
    4. Sayyaadi, Hoseyn, 2009. "Multi-objective approach in thermoenvironomic optimization of a benchmark cogeneration system," Applied Energy, Elsevier, vol. 86(6), pages 867-879, June.
    5. Carvalho, Monica & Lozano, Miguel A. & Serra, Luis M., 2012. "Multicriteria synthesis of trigeneration systems considering economic and environmental aspects," Applied Energy, Elsevier, vol. 91(1), pages 245-254.
    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. Aikaterini Papadimitriou & Anastasios Tosios & Eugenia Giannini, 2021. "Techno-Economic Performance Assessment of a Trigeneration System Operating in a Hospital," Energies, MDPI, vol. 14(16), pages 1-21, August.
    2. Francesco Calise & Francesco Liberato Cappiello & Luca Cimmino & Massimo Dentice d’Accadia & Maria Vicidomini, 2024. "A Novel Layout for Combined Heat and Power Production for a Hospital Based on a Solid Oxide Fuel Cell," Energies, MDPI, vol. 17(5), pages 1-21, February.
    3. Gelegenis, John & Mavrotas, George, 2017. "An analytical study of critical factors in residential cogeneration optimization," Applied Energy, Elsevier, vol. 185(P2), pages 1625-1632.
    4. Jiménez-Espadafor Aguilar, Francisco & Quintero, R. Rodríguez & Trujillo, E. Carvajal & García, Miguel Torres, 2014. "Analysis of regulation methods of a combined heat and power plant based on gas turbines," Energy, Elsevier, vol. 72(C), pages 574-589.
    5. Maria Psillaki & Nikolaos Apostolopoulos & Ilias Makris & Panagiotis Liargovas & Sotiris Apostolopoulos & Panos Dimitrakopoulos & George Sklias, 2023. "Hospitals’ Energy Efficiency in the Perspective of Saving Resources and Providing Quality Services through Technological Options: A Systematic Literature Review," Energies, MDPI, vol. 16(2), pages 1-21, January.
    6. Ascione, Fabrizio & Bianco, Nicola & De Stasio, Claudio & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2016. "Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality," Applied Energy, Elsevier, vol. 174(C), pages 37-68.
    7. Ashraf Balabel & Mamdooh Alwetaishi, 2021. "Toward Sustainable Healthcare Facilities: An Initiative for Development of “Mostadam-HCF” Rating System in Saudi Arabia," Sustainability, MDPI, vol. 13(12), pages 1-15, June.
    8. Basrawi, Firdaus & Ibrahim, Thamir K. & Habib, Khairul & Yamada, Takanobu & Daing Idris, Daing Mohamad Nafiz, 2017. "Techno-economic performance of biogas-fueled micro gas turbine cogeneration systems in sewage treatment plants: Effect of prime mover generation capacity," Energy, Elsevier, vol. 124(C), pages 238-248.
    9. Gimelli, A. & Mottola, F. & Muccillo, M. & Proto, D. & Amoresano, A. & Andreotti, A. & Langella, G., 2019. "Optimal configuration of modular cogeneration plants integrated by a battery energy storage system providing peak shaving service," Applied Energy, Elsevier, vol. 242(C), pages 974-993.
    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. Caresana, F. & Pelagalli, L. & Comodi, G. & Renzi, M., 2014. "Microturbogas cogeneration systems for distributed generation: Effects of ambient temperature on global performance and components’ behavior," Applied Energy, Elsevier, vol. 124(C), pages 17-27.
    12. Guozheng Li & Rui Wang & Tao Zhang & Mengjun Ming, 2018. "Multi-Objective Optimal Design of Renewable Energy Integrated CCHP System Using PICEA-g," Energies, MDPI, vol. 11(4), pages 1-26, March.
    13. Pipicelli, Michele & Muccillo, Massimiliano & Gimelli, Alfredo, 2023. "Influence of the control strategy on the performance of hybrid polygeneration energy system using a prescient model predictive control," Applied Energy, Elsevier, vol. 329(C).
    14. Pina, Eduardo A. & Lozano, Miguel A. & Serra, Luis M., 2021. "Assessing the influence of legal constraints on the integration of renewable energy technologies in polygeneration systems for buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    15. Alfredo Gimelli & Massimiliano Muccillo, 2018. "The Key Role of the Vector Optimization Algorithm and Robust Design Approach for the Design of Polygeneration Systems," Energies, MDPI, vol. 11(4), pages 1-21, April.
    16. Isa, Normazlina Mat & Tan, Chee Wei & Yatim, A.H.M., 2018. "A comprehensive review of cogeneration system in a microgrid: A perspective from architecture and operating system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2236-2263.
    17. Diego Perrone & Teresa Castiglione & Pietropaolo Morrone & Ferdinando Pantano & Sergio Bova, 2023. "Energetic, Economic and Environmental Performance Analysis of a Micro-Combined Cooling, Heating and Power (CCHP) System Based on Biomass Gasification," Energies, MDPI, vol. 16(19), pages 1-22, September.
    18. Karimi, Ali & Gimelli, Alfredo & Iossa, Raffaele & Muccillo, Massimiliano, 2024. "Techno-economic simulation and sensitivity analysis of modular cogeneration with organic rankine cycle and battery energy storage system for enhanced energy performance," Energy, Elsevier, vol. 295(C).
    19. Da Xie & Yupu Lu & Junbo Sun & Chenghong Gu & Jilai Yu, 2016. "Optimal Operation of Network-Connected Combined Heat and Powers for Customer Profit Maximization," Energies, MDPI, vol. 9(6), pages 1-17, June.
    20. Teng, Sin Yong & Leong, Wei Dong & How, Bing Shen & Lam, Hon Loong & Máša, Vítězslav & Stehlík, Petr, 2021. "Debottlenecking cogeneration systems under process variations: Multi-dimensional bottleneck tree analysis with neural network ensemble," Energy, Elsevier, vol. 215(PB).
    21. Isa, Normazlina Mat & Das, Himadry Shekhar & Tan, Chee Wei & Yatim, A.H.M. & Lau, Kwan Yiew, 2016. "A techno-economic assessment of a combined heat and power photovoltaic/fuel cell/battery energy system in Malaysia hospital," Energy, Elsevier, vol. 112(C), pages 75-90.
    22. Thu, Kyaw & Saha, Bidyut Baran & Chua, Kian Jon & Bui, Thuan Duc, 2016. "Thermodynamic analysis on the part-load performance of a microturbine system for micro/mini-CHP applications," Applied Energy, Elsevier, vol. 178(C), pages 600-608.
    23. Capozzoli, Alfonso & Piscitelli, Marco Savino & Neri, Francesco & Grassi, Daniele & Serale, Gianluca, 2016. "A novel methodology for energy performance benchmarking of buildings by means of Linear Mixed Effect Model: The case of space and DHW heating of out-patient Healthcare Centres," Applied Energy, Elsevier, vol. 171(C), pages 592-607.

    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. Gimelli, A. & Mottola, F. & Muccillo, M. & Proto, D. & Amoresano, A. & Andreotti, A. & Langella, G., 2019. "Optimal configuration of modular cogeneration plants integrated by a battery energy storage system providing peak shaving service," Applied Energy, Elsevier, vol. 242(C), pages 974-993.
    2. Carvalho, Monica & Lozano, Miguel A. & Serra, Luis M., 2012. "Multicriteria synthesis of trigeneration systems considering economic and environmental aspects," Applied Energy, Elsevier, vol. 91(1), pages 245-254.
    3. Mallikarjun, Sreekanth & Lewis, Herbert F., 2014. "Energy technology allocation for distributed energy resources: A strategic technology-policy framework," Energy, Elsevier, vol. 72(C), pages 783-799.
    4. Zhou, Zhe & Zhang, Jianyun & Liu, Pei & Li, Zheng & Georgiadis, Michael C. & Pistikopoulos, Efstratios N., 2013. "A two-stage stochastic programming model for the optimal design of distributed energy systems," Applied Energy, Elsevier, vol. 103(C), pages 135-144.
    5. Luo, Xianglong & Hu, Jiahao & Zhao, Jun & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2014. "Multi-objective optimization for the design and synthesis of utility systems with emission abatement technology concerns," Applied Energy, Elsevier, vol. 136(C), pages 1110-1131.
    6. Alfredo Gimelli & Massimiliano Muccillo, 2018. "The Key Role of the Vector Optimization Algorithm and Robust Design Approach for the Design of Polygeneration Systems," Energies, MDPI, vol. 11(4), pages 1-21, April.
    7. Suberu, Mohammed Yekini & Mustafa, Mohd Wazir & Bashir, Nouruddeen & Muhamad, Nor Asiah & Mokhtar, Ahmad Safawi, 2013. "Power sector renewable energy integration for expanding access to electricity in sub-Saharan Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 630-642.
    8. Vučijak, B. & Kupusović, T. & Midžić-Kurtagić, S. & Ćerić, A., 2013. "Applicability of multicriteria decision aid to sustainable hydropower," Applied Energy, Elsevier, vol. 101(C), pages 261-267.
    9. 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.
    10. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Particle swarm optimization for redundant building cooling heating and power system," Applied Energy, Elsevier, vol. 87(12), pages 3668-3679, December.
    11. 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.
    12. Miao Li & Hailin Mu & Huanan Li, 2013. "Analysis and Assessments of Combined Cooling, Heating and Power Systems in Various Operation Modes for a Building in China, Dalian," Energies, MDPI, vol. 6(5), pages 1-22, May.
    13. Zare, A. Darabadi & Saray, R. Khoshbakhti & Mirmasoumi, S. & Bahlouli, K., 2019. "Optimization strategies for mixing ratio of biogas and natural gas co-firing in a cogeneration of heat and power cycle," Energy, Elsevier, vol. 181(C), pages 635-644.
    14. Armellini, A. & Daniotti, S. & Pinamonti, P. & Reini, M., 2018. "Evaluation of gas turbines as alternative energy production systems for a large cruise ship to meet new maritime regulations," Applied Energy, Elsevier, vol. 211(C), pages 306-317.
    15. Sy, Charlle L. & Aviso, Kathleen B. & Ubando, Aristotle T. & Tan, Raymond R., 2016. "Target-oriented robust optimization of polygeneration systems under uncertainty," Energy, Elsevier, vol. 116(P2), pages 1334-1347.
    16. Steffen Wehkamp & Lucas Schmeling & Lena Vorspel & Fabian Roelcke & Kai-Lukas Windmeier, 2020. "District Energy Systems: Challenges and New Tools for Planning and Evaluation," Energies, MDPI, vol. 13(11), pages 1-20, June.
    17. Tan, Raymond R. & Cayamanda, Christina D. & Aviso, Kathleen B., 2014. "P-graph approach to optimal operational adjustment in polygeneration plants under conditions of process inoperability," Applied Energy, Elsevier, vol. 135(C), pages 402-406.
    18. Jayaraman, Raja & Colapinto, Cinzia & La Torre, Davide & Malik, Tufail, 2017. "A Weighted Goal Programming model for planning sustainable development applied to Gulf Cooperation Council Countries," Applied Energy, Elsevier, vol. 185(P2), pages 1931-1939.
    19. Yuan, Jun & Ng, Szu Hui, 2017. "Emission reduction measures ranking under uncertainty," Applied Energy, Elsevier, vol. 188(C), pages 270-279.
    20. Alfredo Gimelli & Massimiliano Muccillo, 2021. "Development of a 1 kW Micro-Polygeneration System Fueled by Natural Gas for Single-Family Users," Energies, MDPI, vol. 14(24), pages 1-21, 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:appene:v:104:y:2013:i:c:p:910-923. 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.