IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v111y2013icp1222-1238.html
   My bibliography  Save this article

A comprehensive tool for efficient design and operation of polygeneration-based energy μgrids serving a cluster of buildings. Part II: Analysis of the applicative potential

Author

Listed:
  • Piacentino, Antonio
  • Barbaro, Chiara

Abstract

The potential of polygeneration systems, in terms of profitability, energy saving and pollutant emissions reduction, highly depends on several factors such as plant efficiency, local normative and tariff conditions and reference technologies adopted to compare the results. In Part I of this paper a reliable tool was described, capable of optimizing the lay-out, design and operation of an integrated polygeneration system serving a cluster of buildings with their heat, cooling and power demand; the tool represents an excellent instrument to perform sensitivity analyses, thus enabling the analyst to formulate general design criteria and predict the effects of any change in the boundary conditions or in the normative provisions concerning support mechanisms for polygeneration plants. In this Part II of the paper, with reference to a cluster of four buildings located over a small area, once assumed a fixed topology of the site (in terms of distance between buildings) the sensitivity of plant design and operation is investigated, posing a particular focus on some context conditions: (1) the minimum primary energy saving imposed for the “high efficient cogeneration” assessment, (2) the reference efficiency of “separate power production” systems adopted to evaluate energy savings, (3) the local energy prices and (4) the incidence of tax exemption for the fuel consumed by polygeneration plants. The sensitivity analyses are preceded by an accurate study on the robustness of solutions, performed by assuming different widths of the temporal basis adopted for the optimization. The proposed study offers a comprehensive view and interesting insights as concerns the viability of polygeneration systems for buildings applications.

Suggested Citation

  • Piacentino, Antonio & Barbaro, Chiara, 2013. "A comprehensive tool for efficient design and operation of polygeneration-based energy μgrids serving a cluster of buildings. Part II: Analysis of the applicative potential," Applied Energy, Elsevier, vol. 111(C), pages 1222-1238.
    • Handle: RePEc:eee:appene:v:111:y:2013:i:c:p:1222-1238
    DOI: 10.1016/j.apenergy.2012.11.079
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261913000706
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2012.11.079?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. Dentice d’Accadia, Massimo & Musto, Marilena, 2011. "Engineering analysis of uncertainties in the performance evaluation of CHP systems," Applied Energy, Elsevier, vol. 88(12), pages 4927-4935.
    2. Djuric Ilic, Danica & Dotzauer, Erik & Trygg, Louise, 2012. "District heating and ethanol production through polygeneration in Stockholm," Applied Energy, Elsevier, vol. 91(1), pages 214-221.
    3. 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.
    4. Smith, Amanda D. & Mago, Pedro J. & Fumo, Nelson, 2011. "Emissions spark spread and primary energy spark spread – Environmental and energy screening parameters for combined heating and power systems," Applied Energy, Elsevier, vol. 88(11), pages 3891-3897.
    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.
    6. Hetland, Jens & Zheng, Li & Shisen, Xu, 2009. "How polygeneration schemes may develop under an advanced clean fossil fuel strategy under a joint sino-European initiative," Applied Energy, Elsevier, vol. 86(2), pages 219-229, February.
    7. Lai, Sau Man & Hui, Chi Wai, 2010. "Integration of trigeneration system and thermal storage under demand uncertainties," Applied Energy, Elsevier, vol. 87(9), pages 2868-2880, September.
    8. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2011. "Influence analysis of building types and climate zones on energetic, economic and environmental performances of BCHP systems," Applied Energy, Elsevier, vol. 88(9), pages 3097-3112.
    9. Zhou, Wei & Yang, Hongxing & Rissanen, Markku & Nygren, Bertil & Yan, Jinyue, 2012. "Decrease of energy demand for bioethanol-based polygeneration system through case study," Applied Energy, Elsevier, vol. 95(C), pages 305-311.
    10. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhai, Zhiqiang (John), 2011. "Performance comparison of combined cooling heating and power system in different operation modes," Applied Energy, Elsevier, vol. 88(12), pages 4621-4631.
    11. Angrisani, Giovanni & Capozzoli, Alfonso & Minichiello, Francesco & Roselli, Carlo & Sasso, Maurizio, 2011. "Desiccant wheel regenerated by thermal energy from a microcogenerator: Experimental assessment of the performances," Applied Energy, Elsevier, vol. 88(4), pages 1354-1365, April.
    12. Daianova, L. & Dotzauer, E. & Thorin, E. & Yan, J., 2012. "Evaluation of a regional bioenergy system with local production of biofuel for transportation, integrated with a CHP plant," Applied Energy, Elsevier, vol. 92(C), pages 739-749.
    13. Rubio-Maya, Carlos & Uche-Marcuello, Javier & Martínez-Gracia, Amaya & Bayod-Rújula, Angel A., 2011. "Design optimization of a polygeneration plant fuelled by natural gas and renewable energy sources," Applied Energy, Elsevier, vol. 88(2), pages 449-457, February.
    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. Catrini, P. & Cellura, M. & Guarino, F. & Panno, D. & Piacentino, A., 2018. "An integrated approach based on Life Cycle Assessment and Thermoeconomics: Application to a water-cooled chiller for an air conditioning plant," Energy, Elsevier, vol. 160(C), pages 72-86.
    2. Calise, Francesco & Cipollina, Andrea & Dentice d’Accadia, Massimo & Piacentino, Antonio, 2014. "A novel renewable polygeneration system for a small Mediterranean volcanic island for the combined production of energy and water: Dynamic simulation and economic assessment," Applied Energy, Elsevier, vol. 135(C), pages 675-693.
    3. Mancarella, Pierluigi & Chicco, Gianfranco & Capuder, Tomislav, 2018. "Arbitrage opportunities for distributed multi-energy systems in providing power system ancillary services," Energy, Elsevier, vol. 161(C), pages 381-395.
    4. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    5. Urbanucci, Luca & Bruno, Joan Carles & Testi, Daniele, 2019. "Thermodynamic and economic analysis of the integration of high-temperature heat pumps in trigeneration systems," Applied Energy, Elsevier, vol. 238(C), pages 516-533.
    6. Sara Ghaem Sigarchian & Anders Malmquist & Viktoria Martin, 2018. "Design Optimization of a Small-Scale Polygeneration Energy System in Different Climate Zones in Iran," Energies, MDPI, vol. 11(5), pages 1-19, May.
    7. Daniele Testi & Paolo Conti & Eva Schito & Luca Urbanucci & Francesco D’Ettorre, 2019. "Synthesis and Optimal Operation of Smart Microgrids Serving a Cluster of Buildings on a Campus with Centralized and Distributed Hybrid Renewable Energy Units," Energies, MDPI, vol. 12(4), pages 1-17, February.
    8. Colmenar-Santos, Antonio & Rosales-Asensio, Enrique & Borge-Diez, David & Collado-Fernández, Eduardo, 2016. "Evaluation of the cost of using power plant reject heat in low-temperature district heating and cooling networks," Applied Energy, Elsevier, vol. 162(C), pages 892-907.
    9. Chris Underwood & Bobo Ng & Francis Yik, 2015. "Scheduling of Multiple Chillers in Trigeneration Plants," Energies, MDPI, vol. 8(10), pages 1-25, October.
    10. Lythcke-Jørgensen, Christoffer & Clausen, Lasse Røngaard & Algren, Loui & Hansen, Anders Bavnhøj & Münster, Marie & Gadsbøll, Rasmus Østergaard & Haglind, Fredrik, 2017. "Optimization of a flexible multi-generation system based on wood chip gasification and methanol production," Applied Energy, Elsevier, vol. 192(C), pages 337-359.
    11. Francesco Calise & Massimo Dentice d’Accadia & Maria Vicidomini, 2022. "Integrated Solar Thermal Systems," Energies, MDPI, vol. 15(10), pages 1-8, May.
    12. Yokoyama, Ryohei & Shinano, Yuji & Taniguchi, Syusuke & Wakui, Tetsuya, 2019. "Search for K-best solutions in optimal design of energy supply systems by an extended MILP hierarchical branch and bound method," Energy, Elsevier, vol. 184(C), pages 45-57.
    13. 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.
    14. Gaiser, Kyle & Stroeve, Pieter, 2014. "The impact of scheduling appliances and rate structure on bill savings for net-zero energy communities: Application to West Village," Applied Energy, Elsevier, vol. 113(C), pages 1586-1595.
    15. Protić, Milan & Shamshirband, Shahaboddin & Petković, Dalibor & Abbasi, Almas & Mat Kiah, Miss Laiha & Unar, Jawed Akhtar & Živković, Ljiljana & Raos, Miomir, 2015. "Forecasting of consumers heat load in district heating systems using the support vector machine with a discrete wavelet transform algorithm," Energy, Elsevier, vol. 87(C), pages 343-351.
    16. Antonio Piacentino & Roberto Gallea & Pietro Catrini & Fabio Cardona & Domenico Panno, 2016. "On the Reliability of Optimization Results for Trigeneration Systems in Buildings, in the Presence of Price Uncertainties and Erroneous Load Estimation," Energies, MDPI, vol. 9(12), pages 1-31, December.
    17. Yokoyama, Ryohei & Takeuchi, Kotaro & Shinano, Yuji & Wakui, Tetsuya, 2021. "Effect of model reduction by time aggregation in multiobjective optimal design of energy supply systems by a hierarchical MILP method," Energy, Elsevier, vol. 228(C).
    18. Volpe, R. & Catrini, P. & Piacentino, A. & Fichera, A., 2022. "An agent-based model to support the preliminary design and operation of heating and power grids with cogeneration units and photovoltaic panels in densely populated areas," Energy, Elsevier, vol. 261(PB).
    19. Benedetto Conte & Joan Carles Bruno & Alberto Coronas, 2016. "Optimal Cooling Load Sharing Strategies for Different Types of Absorption Chillers in Trigeneration Plants," Energies, MDPI, vol. 9(8), pages 1-16, July.
    20. Oh, Se-Young & Binns, Michael & Yeo, Yeong-Koo & Kim, Jin-Kuk, 2014. "Improving energy efficiency for local energy systems," Applied Energy, Elsevier, vol. 131(C), pages 26-39.
    21. Stefania Guarino & Pietro Catrini & Alessandro Buscemi & Valerio Lo Brano & Antonio Piacentino, 2021. "Assessing the Energy-Saving Potential of a Dish-Stirling Con-Centrator Integrated Into Energy Plants in the Tertiary Sector," Energies, MDPI, vol. 14(4), pages 1-23, February.
    22. Pietro Catrini & Tancredi Testasecca & Alessandro Buscemi & Antonio Piacentino, 2022. "Exergoeconomics as a Cost-Accounting Method in Thermal Grids with the Presence of Renewable Energy Producers," Sustainability, MDPI, vol. 14(7), pages 1-27, March.
    23. Yokoyama, Ryohei & Shinano, Yuji & Wakayama, Yuki & Wakui, Tetsuya, 2019. "Model reduction by time aggregation for optimal design of energy supply systems by an MILP hierarchical branch and bound method," Energy, Elsevier, vol. 181(C), pages 782-792.
    24. Lythcke-Jørgensen, Christoffer & Ensinas, Adriano Viana & Münster, Marie & Haglind, Fredrik, 2016. "A methodology for designing flexible multi-generation systems," Energy, Elsevier, vol. 110(C), pages 34-54.
    25. Mirko M. Stojiljković & Mladen M. Stojiljković & Bratislav D. Blagojević, 2014. "Multi-Objective Combinatorial Optimization of Trigeneration Plants Based on Metaheuristics," Energies, MDPI, vol. 7(12), pages 1-28, December.

    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. Piacentino, Antonio & Barbaro, Chiara & Cardona, Fabio & Gallea, Roberto & Cardona, Ennio, 2013. "A comprehensive tool for efficient design and operation of polygeneration-based energy μgrids serving a cluster of buildings. Part I: Description of the method," Applied Energy, Elsevier, vol. 111(C), pages 1204-1221.
    2. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    3. Wang, Jiangjiang & Sui, Jun & Jin, Hongguang, 2015. "An improved operation strategy of combined cooling heating and power system following electrical load," Energy, Elsevier, vol. 85(C), pages 654-666.
    4. 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.
    5. Ghersi, Djamal Eddine & Amoura, Meriem & Loubar, Khaled & Desideri, Umberto & Tazerout, Mohand, 2021. "Multi-objective optimization of CCHP system with hybrid chiller under new electric load following operation strategy," Energy, Elsevier, vol. 219(C).
    6. Smith, Amanda D. & Mago, Pedro J., 2014. "Effects of load-following operational methods on combined heat and power system efficiency," Applied Energy, Elsevier, vol. 115(C), pages 337-351.
    7. 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.
    8. Kohl, Thomas & Laukkanen, Timo & Järvinen, Mika & Fogelholm, Carl-Johan, 2013. "Energetic and environmental performance of three biomass upgrading processes integrated with a CHP plant," Applied Energy, Elsevier, vol. 107(C), pages 124-134.
    9. Zhang, Jianyun & Liu, Pei & Zhou, Zhe & Ma, Linwei & Li, Zheng & Ni, Weidou, 2014. "A mixed-integer nonlinear programming approach to the optimal design of heat network in a polygeneration energy system," Applied Energy, Elsevier, vol. 114(C), pages 146-154.
    10. Liu, Mingxi & Shi, Yang & Fang, Fang, 2014. "Combined cooling, heating and power systems: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 1-22.
    11. Martínez-Lera, S. & Ballester, J. & Martínez-Lera, J., 2013. "Analysis and sizing of thermal energy storage in combined heating, cooling and power plants for buildings," Applied Energy, Elsevier, vol. 106(C), pages 127-142.
    12. Calise, Francesco & Cipollina, Andrea & Dentice d’Accadia, Massimo & Piacentino, Antonio, 2014. "A novel renewable polygeneration system for a small Mediterranean volcanic island for the combined production of energy and water: Dynamic simulation and economic assessment," Applied Energy, Elsevier, vol. 135(C), pages 675-693.
    13. Kasivisvanathan, Harresh & Barilea, Ivan Dale U. & Ng, Denny K.S. & Tan, Raymond R., 2013. "Optimal operational adjustment in multi-functional energy systems in response to process inoperability," Applied Energy, Elsevier, vol. 102(C), pages 492-500.
    14. Ren, Fukang & Wei, Ziqing & Zhai, Xiaoqiang, 2021. "Multi-objective optimization and evaluation of hybrid CCHP systems for different building types," Energy, Elsevier, vol. 215(PA).
    15. Kabalina, Natalia & Costa, Mário & Yang, Weihong & Martin, Andrew, 2017. "Energy and economic assessment of a polygeneration district heating and cooling system based on gasification of refuse derived fuels," Energy, Elsevier, vol. 137(C), pages 696-705.
    16. Daraei, Mahsa & Avelin, Anders & Dotzauer, Erik & Thorin, Eva, 2019. "Evaluation of biofuel production integrated with existing CHP plants and the impacts on production planning of the system – A case study," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    17. Liu, Mingxi & Shi, Yang & Fang, Fang, 2012. "A new operation strategy for CCHP systems with hybrid chillers," Applied Energy, Elsevier, vol. 95(C), pages 164-173.
    18. Jradi, M. & Riffat, S., 2014. "Tri-generation systems: Energy policies, prime movers, cooling technologies, configurations and operation strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 396-415.
    19. Namuli, R. & Pillay, P. & Jaumard, B. & Laflamme, C.B., 2013. "Threshold herd size for commercial viability of biomass waste to energy conversion systems on rural farms," Applied Energy, Elsevier, vol. 108(C), pages 308-322.
    20. Wei, Dajun & Chen, Alian & Sun, Bo & Zhang, Chenghui, 2016. "Multi-objective optimal operation and energy coupling analysis of combined cooling and heating system," Energy, Elsevier, vol. 98(C), pages 296-307.

    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:111:y:2013:i:c:p:1222-1238. 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.