An Evaluation of the PV Integrated Dynamic Overhangs Based on Parametric Performance Design Method: A Case Study of a Student Apartment in China

A photovoltaic shading device (PVSD) is a promising technology that can both generate electricity and provide shading to reduce indoor energy consumption. This paper aims to evaluate the performance of three PVSD design strategies in five Chinese cities by using a proposed all-in-one simulation program, according to the parametric performance design method. The program can be used to predict the energy consumption, power generation, and economic feasibility of different PVSD strategies. It was, firstly, calibrated through an actual experiment which was carried out in Qingdao and, secondly, used to simulate the energy consumption and generation of the three PVSD strategies in relation to the optimal angles and heights. Finally, the program was used to calculate the energy efficiency and economic feasibility of the three strategies. The findings indicated that the move-shade strategy of PVSD can provide the best energy-saving performance, followed by rotate-shade and fixed-shade strategies. Compared to the no-shade strategy, the reduction of the net energy use intensity by using the move-shade strategy was 31.80% in Shenzhen, 107.36% in Kunming, 48.37% in Wuhan, 61.79% in Qingdao, and 43.83% in Changchun. The payback periods of the three strategies ranged from 5 to 16 years when using the PVSD in China.

[1]  Abdelhady Ramadan,et al.  A Novel Intelligent ANFIS for the Dynamic Model of Photovoltaic Systems , 2022, Mathematics.

[2]  Ayca Kirimtat,et al.  Control of PV integrated shading devices in buildings: A review , 2022, Building and Environment.

[3]  P. Zhou,et al.  Regional policy effect on photovoltaic (PV) technology innovation: Findings from 260 cities in China , 2022, Energy Policy.

[4]  Jinyue Yan,et al.  Solar energy harvesting technologies for PV self-powered applications: A comprehensive review , 2022, Renewable Energy.

[5]  Thermal management of solar photovoltaic module to enhance output performance: an experimental passive cooling approach using discontinuous aluminum heat sink , 2021, International Journal of Renewable Energy Research.

[6]  T. Adebayo,et al.  Experimental Study on Performance Enhancement of a Photovoltaic Module Using a Combination of Phase Change Material and Aluminum Fins—Exergy, Energy and Economic (3E) Analysis , 2021, Inventions.

[7]  E. B. Agyekum,et al.  Experimental Investigation of the Effect of a Combination of Active and Passive Cooling Mechanism on the Thermal Characteristics and Efficiency of Solar PV Module , 2021, Inventions.

[8]  E. B. Agyekum,et al.  Effect of dual surface cooling of solar photovoltaic panel on the efficiency of the module: experimental investigation , 2021, Heliyon.

[9]  Virendra Kumar,et al.  Experimental study of combined transparent solar panel and large Fresnel lens concentrator based hybrid PV/thermal sunlight harvesting system , 2021 .

[10]  M. Krarti Evaluation of PV integrated sliding-rotating overhangs for US apartment buildings , 2021, Applied Energy.

[11]  S. Lau,et al.  A Holistic Strategy for Successful Photovoltaic (PV) Implementation into Singapore’s Built Environment , 2021, Sustainability.

[12]  Alessandra Scognamiglio,et al.  A Trans-Disciplinary Vocabulary for Assessing the Visual Performance of BIPV , 2021, Sustainability.

[13]  Giuseppe Peronato,et al.  Designing and assessing solar energy neighborhoods from visual impact , 2021 .

[14]  Samuel B. de Vries,et al.  Simulation-aided development of automated solar shading control strategies using performance mapping and statistical classification , 2021, Journal of Building Performance Simulation.

[15]  Paola Boito,et al.  Application of a fixed-receiver Linear Fresnel Reflector in concentrating photovoltaics , 2021 .

[16]  Cláudia Naves David Amorim,et al.  Modeling and assessing BIPV envelopes using parametric Rhinoceros plugins Grasshopper and Ladybug , 2020 .

[17]  Meysam Akbari Paydar,et al.  Optimum design of building integrated PV module as a movable shading device , 2020 .

[18]  Hashem Akbari,et al.  Intelligent buildings: An overview , 2020, Energy and Buildings.

[19]  Liu Qianqian,et al.  Many-Objective Optimization Design of a Public Building for Energy, Daylighting and Cost Performance Improvement , 2020, Applied Sciences.

[20]  Weizhuo Lu,et al.  Assessing environmental performance in early building design stage: An integrated parametric design and machine learning method , 2019, Sustainable Cities and Society.

[21]  Gabriele Lobaccaro,et al.  A methodology to improve the performance of PV integrated shading devices using multi-objective optimization , 2019, Applied Energy.

[22]  Prageeth Jayathissa,et al.  Dynamic photovoltaic building envelopes for adaptive energy and comfort management , 2019, Nature Energy.

[23]  Sophie Lufkin,et al.  Towards dynamic active façades , 2019, Nature Energy.

[24]  Ondrej Krejcar,et al.  Multi-objective energy and daylight optimization of amorphous shading devices in buildings , 2019, Solar Energy.

[25]  Emmanuel Rey,et al.  Active surfaces selection method for building-integrated photovoltaics (BIPV) in renovation projects based on self-consumption and self-sufficiency , 2019, Energy and Buildings.

[26]  Karam M. Al-Obaidi,et al.  Dynamic shading systems: A review of design parameters, platforms and evaluation strategies , 2019, Automation in Construction.

[27]  Mohsen Saffari Pour,et al.  Economic Analysis for Residential Solar PV Systems Based on Different Demand Charge Tariffs , 2018, Energies.

[28]  Elsayed I. Morgan,et al.  An integrated review of factors influencing the perfomance of photovoltaic panels , 2017 .

[29]  Jinqing Peng,et al.  Evaluation of potential benefits of solar photovoltaic shadings in Hong Kong , 2017 .

[30]  Rebecca J. Yang,et al.  Building integrated photovoltaics (BIPV): costs, benefits, risks, barriers and improvement strategy , 2016 .

[31]  Zoltán Nagy,et al.  Parametric analysis and systems design of dynamic photovoltaic shading modules , 2015 .

[32]  Huiling Chen,et al.  Multi-objective optimization and multi-criteria decision-making methods for optimal design of standalone photovoltaic system: A comprehensive review , 2021, Renewable and Sustainable Energy Reviews.

[33]  H. B. Ganji,et al.  Create and Validate Hybrid Ventilation Components in Simulation using Grasshopper and Python in Rhinoceros , 2020 .

[34]  Sunil Kumar Goyal,et al.  Analysis and Classification of Maximum Power Point Tracking (MPPT) Techniques: A Review , 2019 .