IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v199y2017icp25-44.html
   My bibliography  Save this article

Synergies and trade-offs in renewable energy landscapes: Balancing energy production with economics and ecosystem services

Author

Listed:
  • Hanes, Rebecca J.
  • Gopalakrishnan, Varsha
  • Bakshi, Bhavik R.

Abstract

Sustainable design methods focus on reducing or minimizing the demand for ecosystem goods and services, quantified as natural resources and pollutant mitigation. However, the capacity of ecosystems to supply these demands is routinely ignored, leading to decisions that overburden ecological processes and cause environmental damage. This work develops a techno-ecological synergy (TES) design methodology that balances the ecosystem services that can be provided by nature with the ecosystem service demands created by human activities. The methodology includes the design of technological processes that require ecosystem services as well as the ecological processes that supply those services. The TES Design methodology is demonstrated by application to a renewable energy production system that includes both land use activities, such as agriculture and wind turbines, and biomass conversion activities such as corn ethanol and soybean biodiesel. Under TES Design, the system is optimized to balance the demand and supply of ecosystem services, within constraints imposed on energy production and system economics. The system is also optimized under a more conventional approach that reduces ecosystem service demand while neglecting ecosystem service supply and the relevant ecological processes. Results show that only the TES methodology produces system designs in which ecosystem service supply meets or exceeds the demand. TES system designs produce the same amount of energy as conventional designs, have similar system economics, and use land both for energy production and for ecosystem service supply. The additional supply enables the use of intensive agricultural practices with higher ecosystem service demands and higher biomass yields. These results encourage further efforts toward TES Design with additional ecosystem services.

Suggested Citation

  • Hanes, Rebecca J. & Gopalakrishnan, Varsha & Bakshi, Bhavik R., 2017. "Synergies and trade-offs in renewable energy landscapes: Balancing energy production with economics and ecosystem services," Applied Energy, Elsevier, vol. 199(C), pages 25-44.
  • Handle: RePEc:eee:appene:v:199:y:2017:i:c:p:25-44
    DOI: 10.1016/j.apenergy.2017.04.081
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917304786
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2017.04.081?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. Draxl, Caroline & Clifton, Andrew & Hodge, Bri-Mathias & McCaa, Jim, 2015. "The Wind Integration National Dataset (WIND) Toolkit," Applied Energy, Elsevier, vol. 151(C), pages 355-366.
    2. Arent, Doug & Pless, Jacquelyn & Mai, Trieu & Wiser, Ryan & Hand, Maureen & Baldwin, Sam & Heath, Garvin & Macknick, Jordan & Bazilian, Morgan & Schlosser, Adam & Denholm, Paul, 2014. "Implications of high renewable electricity penetration in the U.S. for water use, greenhouse gas emissions, land-use, and materials supply," Applied Energy, Elsevier, vol. 123(C), pages 368-377.
    3. Čuček, Lidija & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír & Kravanja, Zdravko, 2012. "Total footprints-based multi-criteria optimisation of regional biomass energy supply chains," Energy, Elsevier, vol. 44(1), pages 135-145.
    4. Gonzalez-Salazar, Miguel Angel & Venturini, Mauro & Poganietz, Witold-Roger & Finkenrath, Matthias & Kirsten, Trevor & Acevedo, Helmer & Spina, Pier Ruggero, 2016. "A general modeling framework to evaluate energy, economy, land-use and GHG emissions nexus for bioenergy exploitation," Applied Energy, Elsevier, vol. 178(C), pages 223-249.
    5. Welsch, M. & Hermann, S. & Howells, M. & Rogner, H.H. & Young, C. & Ramma, I. & Bazilian, M. & Fischer, G. & Alfstad, T. & Gielen, D. & Le Blanc, D. & Röhrl, A. & Steduto, P. & Müller, A., 2014. "Adding value with CLEWS – Modelling the energy system and its interdependencies for Mauritius," Applied Energy, Elsevier, vol. 113(C), pages 1434-1445.
    6. Shweta Singh & Bhavik R. Bakshi, 2014. "Accounting for Emissions and Sinks from the Biogeochemical Cycle of Carbon in the U.S. Economic Input-Output Model," Journal of Industrial Ecology, Yale University, vol. 18(6), pages 818-828, December.
    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. Saladini, Fabrizio & Gopalakrishnan, Varsha & Bastianoni, Simone & Bakshi, Bhavik R., 2018. "Synergies between industry and nature – An emergy evaluation of a biodiesel production system integrated with ecological systems," Ecosystem Services, Elsevier, vol. 30(PB), pages 257-266.
    2. Vera, Ivan & Wicke, Birka & Lamers, Patrick & Cowie, Annette & Repo, Anna & Heukels, Bas & Zumpf, Colleen & Styles, David & Parish, Esther & Cherubini, Francesco & Berndes, Göran & Jager, Henriette & , 2022. "Land use for bioenergy: Synergies and trade-offs between sustainable development goals," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    3. Santos, Andreia & Carvalho, Ana & Barbosa-Póvoa, Ana Paula & Marques, Alexandra & Amorim, Pedro, 2019. "Assessment and optimization of sustainable forest wood supply chains – A systematic literature review," Forest Policy and Economics, Elsevier, vol. 105(C), pages 112-135.
    4. Wang, Zhuangzhuang & Fu, Bojie & Zhang, Liwei & Wu, Xutong & Li, Yingjie, 2022. "Ecosystem service assessments across cascade levels: typology and an evidence map," Ecosystem Services, Elsevier, vol. 57(C).
    5. Holland, Robert A. & Beaumont, Nicola & Hooper, Tara & Austen, Melanie & Gross, Robert J.K. & Heptonstall, Philip J. & Ketsopoulou, Ioanna & Winskel, Mark & Watson, Jim & Taylor, Gail, 2018. "Incorporating ecosystem services into the design of future energy systems," Applied Energy, Elsevier, vol. 222(C), pages 812-822.

    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. Mai, Trieu & Lopez, Anthony & Mowers, Matthew & Lantz, Eric, 2021. "Interactions of wind energy project siting, wind resource potential, and the evolution of the U.S. power system," Energy, Elsevier, vol. 223(C).
    2. Pedro, Hugo T.C. & Lim, Edwin & Coimbra, Carlos F.M., 2018. "A database infrastructure to implement real-time solar and wind power generation intra-hour forecasts," Renewable Energy, Elsevier, vol. 123(C), pages 513-525.
    3. Sward, J.A. & Ault, T.R. & Zhang, K.M., 2023. "Spatial biases revealed by LiDAR in a multiphysics WRF ensemble designed for offshore wind," Energy, Elsevier, vol. 262(PA).
    4. Weifeng Xu & Bing Yu & Qing Song & Liguo Weng & Man Luo & Fan Zhang, 2022. "Economic and Low-Carbon-Oriented Distribution Network Planning Considering the Uncertainties of Photovoltaic Generation and Load Demand to Achieve Their Reliability," Energies, MDPI, vol. 15(24), pages 1-15, December.
    5. Ba, Birome Holo & Prins, Christian & Prodhon, Caroline, 2016. "Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective," Renewable Energy, Elsevier, vol. 87(P2), pages 977-989.
    6. Munir Ali Elfarra & Mustafa Kaya, 2018. "Comparison of Optimum Spline-Based Probability Density Functions to Parametric Distributions for the Wind Speed Data in Terms of Annual Energy Production," Energies, MDPI, vol. 11(11), pages 1-15, November.
    7. Craig, Michael & Guerra, Omar J. & Brancucci, Carlo & Pambour, Kwabena Addo & Hodge, Bri-Mathias, 2020. "Valuing intra-day coordination of electric power and natural gas system operations," Energy Policy, Elsevier, vol. 141(C).
    8. Zimmerman, Ryan & Panda, Anurag & Bulović, Vladimir, 2020. "Techno-economic assessment and deployment strategies for vertically-mounted photovoltaic panels," Applied Energy, Elsevier, vol. 276(C).
    9. Wang, Can & Zheng, Xinzhu & Cai, Wenjia & Gao, Xue & Berrill, Peter, 2017. "Unexpected water impacts of energy-saving measures in the iron and steel sector: Tradeoffs or synergies?," Applied Energy, Elsevier, vol. 205(C), pages 1119-1127.
    10. McManamay, Ryan A. & DeRolph, Christopher R. & Surendran-Nair, Sujithkumar & Allen-Dumas, Melissa, 2019. "Spatially explicit land-energy-water future scenarios for cities: Guiding infrastructure transitions for urban sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 880-900.
    11. Julien Walzberg & Annika Eberle, 2023. "Modeling Systems’ Disruption and Social Acceptance—A Proof-of-Concept Leveraging Reinforcement Learning," Sustainability, MDPI, vol. 15(13), pages 1-13, June.
    12. Phetheet, Jirapat & Hill, Mary C. & Barron, Robert W. & Gray, Benjamin J. & Wu, Hongyu & Amanor-Boadu, Vincent & Heger, Wade & Kisekka, Isaya & Golden, Bill & Rossi, Matthew W., 2021. "Relating agriculture, energy, and water decisions to farm incomes and climate projections using two freeware programs, FEWCalc and DSSAT," Agricultural Systems, Elsevier, vol. 193(C).
    13. Han, S.-H. & Cho, D.H. & Kim, Y.H. & Shin, S.-J., 2013. "Biobutanol production from 2-year-old willow biomass by acid hydrolysis and acetone–butanol–ethanol fermentation," Energy, Elsevier, vol. 61(C), pages 13-17.
    14. Cambero, Claudia & Sowlati, Taraneh, 2014. "Assessment and optimization of forest biomass supply chains from economic, social and environmental perspectives – A review of literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 62-73.
    15. Pierre Pinson & Liyang Han & Jalal Kazempour, 2022. "Regression markets and application to energy forecasting," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(3), pages 533-573, October.
    16. Li, Mo & Fu, Qiang & Singh, Vijay P. & Liu, Dong & Li, Jiang, 2020. "Optimization of sustainable bioenergy production considering energy-food-water-land nexus and livestock manure under uncertainty," Agricultural Systems, Elsevier, vol. 184(C).
    17. Liang, Yanan & Kleijn, René & Tukker, Arnold & van der Voet, Ester, 2022. "Material requirements for low-carbon energy technologies: A quantitative review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    18. Shawhan, Daniel & Funke, Christoph & Witkin, Steven, 2020. "Benefits of Energy Technology Innovation Part 1: Power Sector Modeling Results," RFF Working Paper Series 20-19, Resources for the Future.
    19. Xu, Yuanyuan & Yang, Genke & Luo, Jiliang & He, Jianan & Sun, Haixin, 2022. "A multi-location short-term wind speed prediction model based on spatiotemporal joint learning," Renewable Energy, Elsevier, vol. 183(C), pages 148-159.
    20. Arcigni, Francesco & Friso, Riccardo & Collu, Maurizio & Venturini, Mauro, 2019. "Harmonized and systematic assessment of microalgae energy potential for biodiesel production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 614-624.

    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:199:y:2017:i:c:p:25-44. 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.