Optimal design of photovoltaic shading systems for multi-story buildings

Abstract This study provides new insights into the comprehensive energy and economic performances of Photovoltaic Shading Systems (PVSS) in multi-story buildings. A numerical shading model was developed to evaluate the shading effect from an upper PVSS row on its subjacent row. Simulation models based on EnergyPlus were developed to analyze the Net Electricity Consumption (NEC) of PVSS with different tilt angles and widths in different climates. Benefit per Capacity (BC) and the Cost of Benefit (CB) indicators were used to analyze the economic performances of PVSS. Finally, the optimum PVSS tilt angles and widths in different cities were obtained. Harbin, Beijing, Changsha, Kunming, and Guangzhou, were selected as representative cities for different geographical and climatic conditions. The results indicate that the optimum tilt angles for PVSS installed in Harbin, Beijing, Changsha, Kunming and Guangzhou are 55°, 50°, 40°, 40° and 30°, respectively. Optimum PVSS width for all five cities is 1.156 m (7 columns of standard solar cells). PVSS installed, using the optimal design scheme, in multi-story buildings have better energy-saving potentials than either rooftop photovoltaic systems or traditional power supply modes for commercial buildings in China.

[1]  Rajesh Kumar Nema,et al.  Maximum power point tracking control techniques: State-of-the-art in photovoltaic applications , 2013 .

[2]  Jie Jia,et al.  An optimal and comparison study on daylight and overall energy performance of double-glazed photovoltaics windows in cold region of China , 2019, Energy.

[3]  Liangliang Sun,et al.  Dynamic Performance of the Shading-type Building-Integrated Photovoltaic Claddings , 2015 .

[4]  Hong Wang,et al.  Optimizing the Configuration of a Compact Thermal Facade Module for Solar Renovation Concept in Buildings , 2016 .

[5]  Chunlu Liu,et al.  Techno-economic analysis for constructing solar photovoltaic projects on building envelopes , 2018 .

[6]  R. Messenger,et al.  Photovoltaic Systems Engineering , 2018 .

[7]  Gregor P. Henze,et al.  Uncertainty quantification for combined building performance and cost-benefit analyses , 2013 .

[8]  James E. Braun,et al.  Solar geometry for fixed and tracking surfaces , 1983 .

[9]  Wei Zhang,et al.  Integrated semi-transparent cadmium telluride photovoltaic glazing into windows: Energy and daylight performance for different architecture designs , 2018, Applied Energy.

[10]  Layachi Zaghba,et al.  Outdoor study of partial shading effects on different PV modules technologies , 2017 .

[11]  K. R. Ajao,et al.  Electric Energy Supply in Nigeria, Decentralized Energy Approach , 2009 .

[12]  Staf Roels,et al.  Designing uncertain optimization schemes for the economic assessment of stock energy-efficiency measures , 2017 .

[13]  W. Beckman,et al.  Solar Engineering of Thermal Processes , 1985 .

[14]  Lin Lu,et al.  Investigation on the annual thermal performance of a photovoltaic wall mounted on a multi-layer façade , 2013 .

[15]  P. Cooper The absorption of radiation in solar stills , 1969 .

[16]  Hyo Seon Park,et al.  A finite element model for estimating the techno-economic performance of the building-integrated photovoltaic blind , 2016 .

[17]  Mohammad Hassan Moradi,et al.  Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review , 2013 .

[18]  Okan Bingöl,et al.  Analysis and comparison of different PV array configurations under partial shading conditions , 2018 .

[19]  Yongxiu He,et al.  Dynamic subsidy model of photovoltaic distributed generation in China , 2018 .

[20]  Zhengming Zhao,et al.  MPPT techniques for photovoltaic applications , 2013 .

[21]  Ali Naci Celik,et al.  Present status of photovoltaic energy in Turkey and life cycle techno-economic analysis of a grid-connected photovoltaic-house , 2006 .

[22]  Yogesh K. Chauhan,et al.  Performance enhancement of partially shaded PV array using novel shade dispersion effect on magic-square puzzle configuration , 2017 .

[23]  Soubhagya Kumar Dash,et al.  Maximum power point tracking (MPPT) techniques: Recapitulation in solar photovoltaic systems , 2016 .

[24]  R. Ramaprabha,et al.  Comprehensive analysis on the role of array size and configuration on energy yield of photovoltaic systems under shaded conditions , 2015 .

[25]  Liangliang Sun,et al.  Optimum design of shading-type building-integrated photovoltaic claddings with different surface azimuth angles , 2012 .

[26]  Tapas K. Mallick,et al.  Enhancing the performance of building integrated photovoltaics , 2011 .

[27]  Hongxing Yang,et al.  Comparative study of the thermal and power performances of a semi-transparent photovoltaic façade under different ventilation modes , 2015 .

[28]  Suresh Mikkili,et al.  Modelling and performance assessment of PV array topologies under partial shading conditions to mitigate the mismatching power losses , 2018 .

[29]  Seung-Ho Yoo,et al.  Efficiency characteristic of building integrated photovoltaics as a shading device , 2002 .

[30]  Hongxing Yang,et al.  Comparison of energy performance between PV double skin facades and PV insulating glass units , 2017 .

[31]  Nannan Wang,et al.  Monte Carlo simulation approach to life cycle cost management , 2012 .

[32]  Hongxing Yang,et al.  Numerical investigation of the energy saving potential of a semi-transparent photovoltaic double-skin facade in a cool-summer Mediterranean climate , 2016 .

[33]  Ali Naci Celik,et al.  Effect of different load profiles on the loss-of-load probability of stand-alone photovoltaic systems , 2007 .

[34]  Anjum Munir,et al.  Design and economics analysis of an off-grid PV system for household electrification , 2015 .

[35]  Rupendra Kumar Pachauri,et al.  Comprehensive investigation of PV arrays with puzzle shade dispersion for improved performance , 2016 .

[36]  Taehoon Hong,et al.  Development of the smart photovoltaic system blind and its impact on net-zero energy solar buildings using technical-economic-political analyses , 2017 .

[37]  Hongxing Yang,et al.  Impacts of the shading-type building-integrated photovoltaic claddings on electricity generation and cooling load component through shaded windows , 2010 .

[38]  S. M. Shaahid,et al.  Economic analysis of hybrid photovoltaic–diesel–battery power systems for residential loads in hot regions—A step to clean future , 2008 .

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

[40]  Hongxing Yang,et al.  An experimental study of the thermal performance of a novel photovoltaic double-skin facade in Hong Kong , 2013 .

[41]  Bidyadhar Subudhi,et al.  A Comparative Study on Maximum Power Point Tracking Techniques for Photovoltaic Power Systems , 2013, IEEE Transactions on Sustainable Energy.

[42]  Hongxing Yang,et al.  Assessment of energy performance of semi-transparent PV insulating glass units using a validated simulation model , 2016 .

[43]  R. Y. Udaykumar,et al.  Rural electrification in India and feasibility of Photovoltaic Solar Home Systems , 2011 .

[44]  G. N. Tiwari,et al.  Life cycle cost analysis of HPVT air collector under different Indian climatic conditions , 2008 .

[45]  Shahnawaz Ahmed,et al.  On the policy of photovoltaic and diesel generation mix for an off-grid site: east malaysian perspectives , 2003 .

[46]  Kwangbok Jeong,et al.  Nonlinearity analysis of the shading effect on the technical–economic performance of the building-integrated photovoltaic blind , 2017 .

[47]  H. Manz,et al.  Available remodeling simulation for a BIPV as a shading device , 2011 .

[48]  Hongxing Yang,et al.  Validation of the Sandia model with indoor and outdoor measurements for semi-transparent amorphous silicon PV modules , 2015 .

[49]  S. Malathy,et al.  Reconfiguration strategies to extract maximum power from photovoltaic array under partially shaded conditions , 2018 .