IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v124y2017icp382-396.html
   My bibliography  Save this article

Development of the smart photovoltaic system blind and its impact on net-zero energy solar buildings using technical-economic-political analyses

Author

Listed:
  • Koo, Choongwan
  • Hong, Taehoon
  • Jeong, Kwangbok
  • Ban, Cheolwoo
  • Oh, Jeongyoon

Abstract

It is expected that the rooftop photovoltaic (PV) systems can realize net-zero energy solar buildings (nZESBs), but it is not enough by itself. To realize 100% of nZESBs, the smart photovoltaic system blind (SPSB) was proposed to generate electricity in the PV system and to reduce indoor cooling demands through the shading effect in the blind system. Before its implementation, this study aims to investigate the impact of the proposed SPSB on nZESBs, which is conducted in three ways (i.e., technical, economic, and political analyses). The detailed results can be summarized as follows: (i) technical analysis: when applying the SPSBCIGS&2-axis (which represents the SPSB with the copper-indium-gallium-selenide (CIGS) PV panel and the two-axis tracking system), its energy self-sufficiency rate was determined to be 1.25–2.31 times superior to other alternatives; (ii) economic analysis: in terms of the NPV25 (net present value at year 25), SPSBCIGS&2-axis was determined to be 1.41–2.97 times superior to others; in terms of the SIR25 (savings-to-investment ratio at year 25), 1.14–1.26 times; and in terms of the break-even point, 1.4–3.0 years; and (iii) political analysis: the grid-connected utilization plan including solar renewable energy certificates (GCincl.SREC plan) was determined to improve the economic profitability of the proposed SPSB.

Suggested Citation

  • Koo, Choongwan & Hong, Taehoon & Jeong, Kwangbok & Ban, Cheolwoo & Oh, Jeongyoon, 2017. "Development of the smart photovoltaic system blind and its impact on net-zero energy solar buildings using technical-economic-political analyses," Energy, Elsevier, vol. 124(C), pages 382-396.
    • Handle: RePEc:eee:energy:v:124:y:2017:i:c:p:382-396
    DOI: 10.1016/j.energy.2017.02.088
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217302700
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.02.088?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. Wand, Robert & Leuthold, Florian, 2011. "Feed-in tariffs for photovoltaics: Learning by doing in Germany?," Applied Energy, Elsevier, vol. 88(12), pages 4387-4399.
    2. Koo, Choongwan & Kim, Hyunjoong & Hong, Taehoon, 2014. "Framework for the analysis of the low-carbon scenario 2020 to achieve the national carbon Emissions reduction target: Focused on educational facilities," Energy Policy, Elsevier, vol. 73(C), pages 356-367.
    3. Branker, K. & Pathak, M.J.M. & Pearce, J.M., 2011. "A review of solar photovoltaic levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4470-4482.
    4. Koo, Choongwan & Hong, Taehoon & Lee, Minhyun & Kim, Jimin, 2016. "An integrated multi-objective optimization model for determining the optimal solution in implementing the rooftop photovoltaic system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 822-837.
    5. Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Lee, Myeonghwi & Koo, Choongwan & Lee, Minhyun & Ji, Changyoon & Jeong, Jaewook, 2016. "An integrated multi-objective optimization model for determining the optimal solution in the solar thermal energy system," Energy, Elsevier, vol. 102(C), pages 416-426.
    6. Hong, Taehoon & Koo, Choongwan & Kwak, Taehyun, 2013. "Framework for the implementation of a new renewable energy system in an educational facility," Applied Energy, Elsevier, vol. 103(C), pages 539-551.
    7. Hong, Taehoon & Koo, Choongwan & Jeong, Kwangbok, 2012. "A decision support model for reducing electric energy consumption in elementary school facilities," Applied Energy, Elsevier, vol. 95(C), pages 253-266.
    8. Hong, Taehoon & Koo, Choongwan & Kwak, Taehyun & Park, Hyo Seon, 2014. "An economic and environmental assessment for selecting the optimum new renewable energy system for educational facility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 286-300.
    9. Dolara, Alberto & Lazaroiu, George Cristian & Leva, Sonia & Manzolini, Giampaolo, 2013. "Experimental investigation of partial shading scenarios on PV (photovoltaic) modules," Energy, Elsevier, vol. 55(C), pages 466-475.
    10. Maatallah, Taher & El Alimi, Souheil & Nassrallah, Sassi Ben, 2011. "Performance modeling and investigation of fixed, single and dual-axis tracking photovoltaic panel in Monastir city, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 4053-4066.
    11. Jeong, Kwangbok & Koo, Choongwan & Hong, Taehoon, 2014. "An estimation model for determining the annual energy cost budget in educational facilities using SARIMA (seasonal autoregressive integrated moving average) and ANN (artificial neural network)," Energy, Elsevier, vol. 71(C), pages 71-79.
    12. Rehman, Shafiqur & Ghori, Saleem G, 2000. "Spatial estimation of global solar radiation using geostatistics," Renewable Energy, Elsevier, vol. 21(3), pages 583-605.
    13. Koo, Choongwan & Hong, Taehoon, 2015. "Development of a dynamic operational rating system in energy performance certificates for existing buildings: Geostatistical approach and data-mining technique," Applied Energy, Elsevier, vol. 154(C), pages 254-270.
    14. Hong, Taehoon & Koo, Choongwan & Park, Joonho & Park, Hyo Seon, 2014. "A GIS (geographic information system)-based optimization model for estimating the electricity generation of the rooftop PV (photovoltaic) system," Energy, Elsevier, vol. 65(C), pages 190-199.
    15. El Chaar, L. & lamont, L.A. & El Zein, N., 2011. "Review of photovoltaic technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(5), pages 2165-2175, June.
    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. Luo, Yongqiang & Zhang, Ling & Liu, Zhongbing & Xie, Lei & Wang, Xiliang & Wu, Jing, 2018. "Experimental study and performance evaluation of a PV-blind embedded double skin façade in winter season," Energy, Elsevier, vol. 165(PB), pages 326-342.
    2. Oh, Jeongyoon & Koo, Choongwan & Hong, Taehoon & Jeong, Kwangbok & Lee, Minhyun, 2017. "An economic impact analysis of residential progressive electricity tariffs in implementing the building-integrated photovoltaic blind using an advanced finite element model," Applied Energy, Elsevier, vol. 202(C), pages 259-274.
    3. Lamnatou, Chr. & Chemisana, D. & Cristofari, C., 2022. "Smart grids and smart technologies in relation to photovoltaics, storage systems, buildings and the environment," Renewable Energy, Elsevier, vol. 185(C), pages 1376-1391.
    4. D’Adamo, Idiano & Falcone, Pasquale Marcello & Gastaldi, Massimo & Morone, Piergiuseppe, 2020. "The economic viability of photovoltaic systems in public buildings: Evidence from Italy," Energy, Elsevier, vol. 207(C).
    5. Yu, Guoqing & Yang, Hongxing & Luo, Daina & Cheng, Xu & Ansah, Mark Kyeredey, 2021. "A review on developments and researches of building integrated photovoltaic (BIPV) windows and shading blinds," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    6. Jeongyoon Oh & Taehoon Hong & Hakpyeong Kim & Jongbaek An & Kwangbok Jeong & Choongwan Koo, 2017. "Advanced Strategies for Net-Zero Energy Building: Focused on the Early Phase and Usage Phase of a Building’s Life Cycle," Sustainability, MDPI, vol. 9(12), pages 1-52, December.
    7. Koo, Choongwan & Hong, Taehoon & Oh, Jeongyoon & Choi, Jun-Ki, 2018. "Improving the prediction performance of the finite element model for estimating the technical performance of the distributed generation of solar power system in a building façade," Applied Energy, Elsevier, vol. 215(C), pages 41-53.
    8. Yu, Min & Niu, Dongxiao & Wang, Keke & Du, Ruoyun & Yu, Xiaoyu & Sun, Lijie & Wang, Feiran, 2023. "Short-term photovoltaic power point-interval forecasting based on double-layer decomposition and WOA-BiLSTM-Attention and considering weather classification," Energy, Elsevier, vol. 275(C).
    9. Oh, Jeongyoon & Koo, Choongwan & Hong, Taehoon & Cha, Seung Hyun, 2018. "An integrated model for estimating the techno-economic performance of the distributed solar generation system on building façades: Focused on energy demand and supply," Applied Energy, Elsevier, vol. 228(C), pages 1071-1090.
    10. Paolo Corti & Pierluigi Bonomo & Francesco Frontini, 2023. "Paper Review of External Integrated Systems as Photovoltaic Shading Devices," Energies, MDPI, vol. 16(14), pages 1-21, July.
    11. Luo, Yongqiang & Zhang, Ling & Liu, Zhongbing & Su, Xiaosong & Lian, Jinbu & Luo, Yongwei, 2018. "Coupled thermal-electrical-optical analysis of a photovoltaic-blind integrated glazing façade," Applied Energy, Elsevier, vol. 228(C), pages 1870-1886.
    12. Rafati, Amir & Joorabian, Mahmood & Mashhour, Elaheh & Shaker, Hamid Reza, 2021. "High dimensional very short-term solar power forecasting based on a data-driven heuristic method," Energy, Elsevier, vol. 219(C).
    13. Hong, Po & Xu, Liangfei & Li, Jianqiu & Ouyang, Minggao, 2017. "Modeling of membrane electrode assembly of PEM fuel cell to analyze voltage losses inside," Energy, Elsevier, vol. 139(C), pages 277-288.
    14. Li, Fengyun & Zheng, Haofeng & Li, Xingmei, 2022. "A novel hybrid model for multi-step ahead photovoltaic power prediction based on conditional time series generative adversarial networks," Renewable Energy, Elsevier, vol. 199(C), pages 560-586.
    15. Vassiliades, C. & Agathokleous, R. & Barone, G. & Forzano, C. & Giuzio, G.F. & Palombo, A. & Buonomano, A. & Kalogirou, S., 2022. "Building integration of active solar energy systems: A review of geometrical and architectural characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    16. Gassar, Abdo Abdullah Ahmed & Cha, Seung Hyun, 2021. "Review of geographic information systems-based rooftop solar photovoltaic potential estimation approaches at urban scales," Applied Energy, Elsevier, vol. 291(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. Lee, Minhyun & Hong, Taehoon & Yoo, Hyunji & Koo, Choongwan & Kim, Jimin & Jeong, Kwangbok & Jeong, Jaewook & Ji, Changyoon, 2017. "Establishment of a base price for the Solar Renewable Energy Credit (SREC) from the perspective of residents and state governments in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1066-1080.
    2. Koo, Choongwan & Hong, Taehoon & Kim, Jimin & Kim, Hyunjoong, 2015. "An integrated multi-objective optimization model for establishing the low-carbon scenario 2020 to achieve the national carbon emissions reduction target for residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 410-425.
    3. Koo, Choongwan & Hong, Taehoon, 2015. "Development of a dynamic operational rating system in energy performance certificates for existing buildings: Geostatistical approach and data-mining technique," Applied Energy, Elsevier, vol. 154(C), pages 254-270.
    4. Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Lee, Myeonghwi & Koo, Choongwan & Lee, Minhyun & Ji, Changyoon & Jeong, Jaewook, 2016. "An integrated multi-objective optimization model for determining the optimal solution in the solar thermal energy system," Energy, Elsevier, vol. 102(C), pages 416-426.
    5. Kim, Jimin & Hong, Taehoon & Jeong, Jaemin & Lee, Myeonghwi & Lee, Minhyun & Jeong, Kwangbok & Koo, Choongwan & Jeong, Jaewook, 2017. "Establishment of an optimal occupant behavior considering the energy consumption and indoor environmental quality by region," Applied Energy, Elsevier, vol. 204(C), pages 1431-1443.
    6. Hong, Taehoon & Koo, Choongwan & Oh, Jeongyoon & Jeong, Kwangbok, 2017. "Nonlinearity analysis of the shading effect on the technical–economic performance of the building-integrated photovoltaic blind," Applied Energy, Elsevier, vol. 194(C), pages 467-480.
    7. Park, Hyo Seon & Koo, Choongwan & Hong, Taehoon & Oh, Jeongyoon & Jeong, Kwangbok, 2016. "A finite element model for estimating the techno-economic performance of the building-integrated photovoltaic blind," Applied Energy, Elsevier, vol. 179(C), pages 211-227.
    8. Jeong, Kwangbok & Koo, Choongwan & Hong, Taehoon, 2014. "An estimation model for determining the annual energy cost budget in educational facilities using SARIMA (seasonal autoregressive integrated moving average) and ANN (artificial neural network)," Energy, Elsevier, vol. 71(C), pages 71-79.
    9. Oh, Jeongyoon & Koo, Choongwan & Hong, Taehoon & Cha, Seung Hyun, 2018. "An integrated model for estimating the techno-economic performance of the distributed solar generation system on building façades: Focused on energy demand and supply," Applied Energy, Elsevier, vol. 228(C), pages 1071-1090.
    10. Lee, Minhyun & Hong, Taehoon & Jeong, Jaewook & Jeong, Kwangbok, 2018. "Development of a rooftop solar photovoltaic rating system considering the technical and economic suitability criteria at the building level," Energy, Elsevier, vol. 160(C), pages 213-224.
    11. Hong, Taehoon & Lee, Minhyun & Koo, Choongwan & Jeong, Kwangbok & Kim, Jimin, 2017. "Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using Hillshade analysis," Applied Energy, Elsevier, vol. 194(C), pages 320-332.
    12. Jeong, Kwangbok & Hong, Taehoon & Kim, Jimin & Cho, Kyuman, 2019. "Development of a multi-objective optimization model for determining the optimal CO2 emissions reduction strategies for a multi-family housing complex," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 118-131.
    13. Seo, Dong-yeon & Koo, Choongwan & Hong, Taehoon, 2015. "A Lagrangian finite element model for estimating the heating and cooling demand of a residential building with a different envelope design," Applied Energy, Elsevier, vol. 142(C), pages 66-79.
    14. Jeongyoon Oh & Taehoon Hong & Hakpyeong Kim & Jongbaek An & Kwangbok Jeong & Choongwan Koo, 2017. "Advanced Strategies for Net-Zero Energy Building: Focused on the Early Phase and Usage Phase of a Building’s Life Cycle," Sustainability, MDPI, vol. 9(12), pages 1-52, December.
    15. Lee, Minhyun & Hong, Taehoon & Koo, Choongwan, 2016. "An economic impact analysis of state solar incentives for improving financial performance of residential solar photovoltaic systems in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 590-607.
    16. Gassar, Abdo Abdullah Ahmed & Cha, Seung Hyun, 2021. "Review of geographic information systems-based rooftop solar photovoltaic potential estimation approaches at urban scales," Applied Energy, Elsevier, vol. 291(C).
    17. Yoo, Hyunji & Hong, Taehoon & Jeong, Kwangbok & Ji, Changyoon, 2018. "Estimation of the optimal government rebate for promoting the photovoltaic system in multi-family housing complexes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 720-728.
    18. Jeong, Kwangbok & Hong, Taehoon & Kim, Jimin & Lee, Jaewook, 2021. "A data-driven approach for establishing a CO2 emission benchmark for a multi-family housing complex using data mining techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    19. Koo, Choongwan & Kim, Hyunjoong & Hong, Taehoon, 2014. "Framework for the analysis of the low-carbon scenario 2020 to achieve the national carbon Emissions reduction target: Focused on educational facilities," Energy Policy, Elsevier, vol. 73(C), pages 356-367.
    20. Jeong, Jaewook & Hong, Taehoon & Ji, Changyoon & Kim, Jimin & Lee, Minhyun & Jeong, Kwangbok, 2016. "Development of an integrated energy benchmark for a multi-family housing complex using district heating," Applied Energy, Elsevier, vol. 179(C), pages 1048-1061.

    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:energy:v:124:y:2017:i:c:p:382-396. 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.journals.elsevier.com/energy .

    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.