IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v267y2020ics0306261920305298.html
   My bibliography  Save this article

Remote community integrated energy system optimization including building enclosure improvements and quantitative energy trilemma metrics

Author

Listed:
  • Quitoras, Marvin Rhey
  • Campana, Pietro Elia
  • Rowley, Paul
  • Crawford, Curran

Abstract

Design strategies for sustainable energy systems in remote communities require holistic approaches, as policy, technological development and complex energy systems operation are inherently intertwined. The present work takes a multi-domain perspective in which various energy solution philosophies co-exist. In particular, a multi-objective energy system model has been developed to determine the optimal configuration of integrated electrical and thermal energy systems for Sachs Harbour, the Northernmost community in the Northwest Territories of Canada. From the four scenarios implemented in the model, the Pareto front curves show that the fuel consumption can vary from 0 to 700,000 L/yr while the cost of energy is in the range of 0.5–2.7 CND $/kWh. Further, a comparative dynamic simulation has been carried out to analyze the impacts of using electric baseboard heaters versus air-source heat pumps. The results indicate that load fluctuations caused by the variations of the heat pumps’ coefficients of performance negatively impact the operation of the energy system. These demand fluctuations result in a larger battery storage requirement, along with an increase in overall energy system costs. Building enclosure improvements alone were found to reduce space heating loads by up to 40%. Finally, nine solutions of interest from the Pareto front were quantified and tested in the energy trilemma index model. From the multiple viable configurations, the proposed solution was estimated to have a weighted average trilemma score of 73.3. Overall, the use of such innovative modeling approaches in real-world applications can support policy makers to make informed decisions in balancing trade-offs from various energy solution viewpoints.

Suggested Citation

  • Quitoras, Marvin Rhey & Campana, Pietro Elia & Rowley, Paul & Crawford, Curran, 2020. "Remote community integrated energy system optimization including building enclosure improvements and quantitative energy trilemma metrics," Applied Energy, Elsevier, vol. 267(C).
  • Handle: RePEc:eee:appene:v:267:y:2020:i:c:s0306261920305298
    DOI: 10.1016/j.apenergy.2020.115017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261920305298
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2020.115017?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. Tezer, Tuba & Yaman, Ramazan & Yaman, Gülşen, 2017. "Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 840-853.
    2. Huntington, Hillard G & Weyant, John P & Sweeney, James L, 1982. "Modeling for insights, not numbers: the experiences of the energy modeling forum," Omega, Elsevier, vol. 10(5), pages 449-462.
    3. Laura Tribioli & Raffaello Cozzolino & Luca Evangelisti & Gino Bella, 2016. "Energy Management of an Off-Grid Hybrid Power Plant with Multiple Energy Storage Systems," Energies, MDPI, vol. 9(8), pages 1-21, August.
    4. Chang Ye & Shihong Miao & Qi Lei & Yaowang Li, 2016. "Dynamic Energy Management of Hybrid Energy Storage Systems with a Hierarchical Structure," Energies, MDPI, vol. 9(6), pages 1-15, May.
    5. Sharafi, Masoud & ELMekkawy, Tarek Y., 2014. "Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach," Renewable Energy, Elsevier, vol. 68(C), pages 67-79.
    6. Orehounig, Kristina & Evins, Ralph & Dorer, Viktor, 2015. "Integration of decentralized energy systems in neighbourhoods using the energy hub approach," Applied Energy, Elsevier, vol. 154(C), pages 277-289.
    7. Roberts, Justo José & Marotta Cassula, Agnelo & Silveira, José Luz & da Costa Bortoni, Edson & Mendiburu, Andrés Z., 2018. "Robust multi-objective optimization of a renewable based hybrid power system," Applied Energy, Elsevier, vol. 223(C), pages 52-68.
    8. Jakob, Martin, 2006. "Marginal costs and co-benefits of energy efficiency investments: The case of the Swiss residential sector," Energy Policy, Elsevier, vol. 34(2), pages 172-187, January.
    9. Renaldi, R. & Kiprakis, A. & Friedrich, D., 2017. "An optimisation framework for thermal energy storage integration in a residential heat pump heating system," Applied Energy, Elsevier, vol. 186(P3), pages 520-529.
    10. Hoevenaars, Eric J. & Crawford, Curran A., 2012. "Implications of temporal resolution for modeling renewables-based power systems," Renewable Energy, Elsevier, vol. 41(C), pages 285-293.
    11. Pavičević, Matija & Novosel, Tomislav & Pukšec, Tomislav & Duić, Neven, 2017. "Hourly optimization and sizing of district heating systems considering building refurbishment – Case study for the city of Zagreb," Energy, Elsevier, vol. 137(C), pages 1264-1276.
    12. Forde, Joe & Hopfe, Christina J. & McLeod, Robert S. & Evins, Ralph, 2020. "Temporal optimization for affordable and resilient Passivhaus dwellings in the social housing sector," Applied Energy, Elsevier, vol. 261(C).
    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. Odin Foldvik Eikeland & Filippo Maria Bianchi & Harry Apostoleris & Morten Hansen & Yu-Cheng Chiou & Matteo Chiesa, 2021. "Predicting Energy Demand in Semi-Remote Arctic Locations," Energies, MDPI, vol. 14(4), pages 1-17, February.
    2. Laetitia Uwineza & Hyun-Goo Kim & Jan Kleissl & Chang Ki Kim, 2022. "Technical Control and Optimal Dispatch Strategy for a Hybrid Energy System," Energies, MDPI, vol. 15(8), pages 1-19, April.
    3. Gjorgievski, Vladimir Z. & Cundeva, Snezana & Georghiou, George E., 2021. "Social arrangements, technical designs and impacts of energy communities: A review," Renewable Energy, Elsevier, vol. 169(C), pages 1138-1156.
    4. Wu, Raphael & Sansavini, Giovanni, 2021. "Energy trilemma in active distribution network design: Balancing affordability, sustainability and security in optimization-based decision-making," Applied Energy, Elsevier, vol. 304(C).
    5. Lonergan, Katherine Emma & Suter, Nicolas & Sansavini, Giovanni, 2023. "Energy systems modelling for just transitions," Energy Policy, Elsevier, vol. 183(C).
    6. Liu, Chunming & Wang, Chunling & Yin, Yujun & Yang, Peihong & Jiang, Hui, 2022. "Bi-level dispatch and control strategy based on model predictive control for community integrated energy system considering dynamic response performance," Applied Energy, Elsevier, vol. 310(C).
    7. Zhang, Chaoyi & Jiao, Zaibin & Liu, Junshan & Ning, Keer, 2023. "Robust planning and economic analysis of park-level integrated energy system considering photovoltaic/thermal equipment," Applied Energy, Elsevier, vol. 348(C).
    8. Madurai Elavarasan, Rajvikram & Pugazhendhi, Rishi & Jamal, Taskin & Dyduch, Joanna & Arif, M.T. & Manoj Kumar, Nallapaneni & Shafiullah, GM & Chopra, Shauhrat S. & Nadarajah, Mithulananthan, 2021. "Envisioning the UN Sustainable Development Goals (SDGs) through the lens of energy sustainability (SDG 7) in the post-COVID-19 world," Applied Energy, Elsevier, vol. 292(C).
    9. Heleno, Miguel & Sigrin, Benjamin & Popovich, Natalie & Heeter, Jenny & Jain Figueroa, Anjuli & Reiner, Michael & Reames, Tony, 2022. "Optimizing equity in energy policy interventions: A quantitative decision-support framework for energy justice," Applied Energy, Elsevier, vol. 325(C).
    10. Kachirayil, Febin & Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2022. "Reviewing local and integrated energy system models: insights into flexibility and robustness challenges," Applied Energy, Elsevier, vol. 324(C).
    11. Michaela Makešová & Michaela Valentová, 2021. "The Concept of Multiple Impacts of Renewable Energy Sources: A Critical Review," Energies, MDPI, vol. 14(11), pages 1-21, May.
    12. Lauren E. Natividad & Pablo Benalcazar, 2023. "Hybrid Renewable Energy Systems for Sustainable Rural Development: Perspectives and Challenges in Energy Systems Modeling," Energies, MDPI, vol. 16(3), pages 1-15, January.
    13. Jaybee Lacea & Edward Querikiol & Evelyn Taboada, 2021. "Balancing Energy Trilemma Using Hybrid Distributed Rooftop Solar PV (DRSP)/Battery/Diesel Microgrid: A Case Study in Gilutongan Island, Cordova, Cebu, Philippines," Energies, MDPI, vol. 14(21), pages 1-32, November.
    14. Hu, Hejuan & Sun, Xiaoyan & Zeng, Bo & Gong, Dunwei & Zhang, Yong, 2022. "Enhanced evolutionary multi-objective optimization-based dispatch of coal mine integrated energy system with flexible load," Applied Energy, Elsevier, vol. 307(C).
    15. Lu, Zhiming & Gao, Yan & Xu, Chuanbo, 2021. "Evaluation of energy management system for regional integrated energy system under interval type-2 hesitant fuzzy environment," Energy, Elsevier, vol. 222(C).

    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. Fahd A. Alturki & Emad Mahrous Awwad, 2021. "Sizing and Cost Minimization of Standalone Hybrid WT/PV/Biomass/Pump-Hydro Storage-Based Energy Systems," Energies, MDPI, vol. 14(2), pages 1-20, January.
    2. Mayer, Martin János & Szilágyi, Artúr & Gróf, Gyula, 2020. "Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm," Applied Energy, Elsevier, vol. 269(C).
    3. Fodhil, F. & Hamidat, A. & Nadjemi, O., 2019. "Potential, optimization and sensitivity analysis of photovoltaic-diesel-battery hybrid energy system for rural electrification in Algeria," Energy, Elsevier, vol. 169(C), pages 613-624.
    4. Heendeniya, Charitha Buddhika & Sumper, Andreas & Eicker, Ursula, 2020. "The multi-energy system co-planning of nearly zero-energy districts – Status-quo and future research potential," Applied Energy, Elsevier, vol. 267(C).
    5. Roberts, Justo José & Marotta Cassula, Agnelo & Silveira, José Luz & da Costa Bortoni, Edson & Mendiburu, Andrés Z., 2018. "Robust multi-objective optimization of a renewable based hybrid power system," Applied Energy, Elsevier, vol. 223(C), pages 52-68.
    6. Caraiman Adrian-Cosmin & Dan Sorin & Pescari Simon, 2023. "Life Cycle Cost In The Built Environment, Actualization, Inflation And The Money Value Over Time," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 2, pages 139-146, April.
    7. Christina Papadimitriou & Marialaura Di Somma & Chrysanthos Charalambous & Martina Caliano & Valeria Palladino & Andrés Felipe Cortés Borray & Amaia González-Garrido & Nerea Ruiz & Giorgio Graditi, 2023. "A Comprehensive Review of the Design and Operation Optimization of Energy Hubs and Their Interaction with the Markets and External Networks," Energies, MDPI, vol. 16(10), pages 1-46, May.
    8. Parrado-Hernando, Gonzalo & Herc, Luka & Pfeifer, Antun & Capellán-Perez, Iñigo & Batas Bjelić, Ilija & Duić, Neven & Frechoso-Escudero, Fernando & Miguel González, Luis Javier & Gjorgievski, Vladimir, 2022. "Capturing features of hourly-resolution energy models through statistical annual indicators," Renewable Energy, Elsevier, vol. 197(C), pages 1192-1223.
    9. Amara, Sihem & Toumi, Sana & Salah, Chokri Ben & Saidi, Abdelaziz Salah, 2021. "Improvement of techno-economic optimal sizing of a hybrid off-grid micro-grid system," Energy, Elsevier, vol. 233(C).
    10. Maheri, Alireza & Unsal, Ibrahim & Mahian, Omid, 2022. "Multiobjective optimisation of hybrid wind-PV-battery-fuel cell-electrolyser-diesel systems: An integrated configuration-size formulation approach," Energy, Elsevier, vol. 241(C).
    11. Anoune, Kamal & Bouya, Mohsine & Astito, Abdelali & Abdellah, Abdellatif Ben, 2018. "Sizing methods and optimization techniques for PV-wind based hybrid renewable energy system: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 652-673.
    12. Kachirayil, Febin & Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2022. "Reviewing local and integrated energy system models: insights into flexibility and robustness challenges," Applied Energy, Elsevier, vol. 324(C).
    13. Launay, S. & Kadoch, B. & Le Métayer, O. & Parrado, C., 2019. "Analysis strategy for multi-criteria optimization: Application to inter-seasonal solar heat storage for residential building needs," Energy, Elsevier, vol. 171(C), pages 419-434.
    14. Jiaxin Lu & Weijun Wang & Yingchao Zhang & Song Cheng, 2017. "Multi-Objective Optimal Design of Stand-Alone Hybrid Energy System Using Entropy Weight Method Based on HOMER," Energies, MDPI, vol. 10(10), pages 1-17, October.
    15. Iolanda Saviuc & Herbert Peremans & Steven Van Passel & Kevin Milis, 2019. "Economic Performance of Using Batteries in European Residential Microgrids under the Net-Metering Scheme," Energies, MDPI, vol. 12(1), pages 1-28, January.
    16. Wesam Salah Alaloul & Muhammad Altaf & Muhammad Ali Musarat & Muhammad Faisal Javed & Amir Mosavi, 2021. "Systematic Review of Life Cycle Assessment and Life Cycle Cost Analysis for Pavement and a Case Study," Sustainability, MDPI, vol. 13(8), pages 1-38, April.
    17. Putna, Ondřej & Janošťák, František & Šomplák, Radovan & Pavlas, Martin, 2018. "Demand modelling in district heating systems within the conceptual design of a waste-to-energy plant," Energy, Elsevier, vol. 163(C), pages 1125-1139.
    18. Eid, Cherrelle & Codani, Paul & Perez, Yannick & Reneses, Javier & Hakvoort, Rudi, 2016. "Managing electric flexibility from Distributed Energy Resources: A review of incentives for market design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 237-247.
    19. Fitsum Salehu Kebede & Jean-Christophe Olivier & Salvy Bourguet & Mohamed Machmoum, 2021. "Reliability Evaluation of Renewable Power Systems through Distribution Network Power Outage Modelling," Energies, MDPI, vol. 14(11), pages 1-25, May.
    20. Pye, Steve & Sabio, Nagore & Strachan, Neil, 2015. "An integrated systematic analysis of uncertainties in UK energy transition pathways," Energy Policy, Elsevier, vol. 87(C), pages 673-684.

    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:267:y:2020:i:c:s0306261920305298. 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.