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Lamnatou, C., baig, H., Chemisana, D. and Malick, T.K. (2017) Dielectric-Based 3D Building-Integrated Concentrating Photovoltaic Modules: An Environmental Life-Cycle Assessment. Energy and Buildings, 138, 514-525.
https://doi.org/10.1016/j.enbuild.2016.12.038

has been cited by the following article:

  • TITLE: Energy Characteristics of an Integrated Power Generation System with Photovoltaic and Fuel Cell

    AUTHORS: Akira Nishimura, Syota Tanikaga, Masafumi Hirota, Eric Hu

    KEYWORDS: Smart Building, Photovoltaics, H2 Produced by Water Electrolysis, Polymer Electrolyte Fuel Cell, Self-Sufficiency Rate

    JOURNAL NAME: Smart Grid and Renewable Energy, Vol.9 No.4, April 30, 2018

    ABSTRACT: An integrated energy system (with photovoltaic (PV) and fuel cell (FC) for building) is proposed and assessed in term of its energy self-sufficiency rate in seven cities (Nagoya, Toyota, Tajimi, Takayama, Ogaki, Hamamatsu, Shizuoka) in Tokai region in Japan in this paper. In this work, it is considered that the electricity requirement of the building for household users is provided by a building integrated photovoltaic (BIPV) system and the gap between the energy demand and BIPV supply is fulfilled by the FC. The FC is powered by the electrolytic H2 produced when PV power was in surplus. Based on the study of applying the proposed system in seven cities, which clarifies the effectiveness of the integrated BIPV, electrolytic H2 and FC power generation system, a universal system model has been developed in this paper. It has been observed that the monthly power production from BIPV as well as FC system are higher in spring and summer, while they are both lower in autumn and winter at all considered locations. The self-sufficiency rate of the FC system is higher with decreasing households’ number and it has been observed that 16 is the most appropriate number of households in a building, whose electricity demand could be fully covered by the integrated PV and FC system. Due to its climate condition, Hamamatsu is the best city in the region for installing the proposed system. The correlation between the households’ number and self-sufficiency rate of the FC system per solar PV installation area can be expressed by the regression curve in the form of y = ax-b well.