Optimisation of community shared solar application in energy efficient communities

被引:46
作者
Awad, Hadia [1 ]
Gul, Mustafa [1 ]
机构
[1] Univ Alberta, Dept Civil & Environm Engn, 9211 116 St, Edmonton, AB T6G 1H9, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Community shared solar; Load-match-driven design; Monte Carlo simulation; Solar PV optimisation; Long-term monitoring; Energy-efficient community simulation; RENEWABLE ENERGY; RADIATION STATISTICS; ZERO-ENERGY; LOAD-MATCH; DESIGN; MODEL; FEASIBILITY; PERFORMANCE; BUILDINGS; FRAMEWORK;
D O I
10.1016/j.scs.2018.08.029
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Integration of solar photovoltaic (PV) micro-generation into residential buildings is emerging rapidly as an effective method for mitigating the impact of housing on greenhouse gas (GHG) emissions. However, PV microgeneration is confronted with several challenges: (a) the average self-consumption does not exceed 25% in cold-climate regions; and (b) most of the generated energy during daytime is exported to the grid at a lower monetary rate per unit than that of imported energy. Governments and authorities envision the value of considering the integration of renewables at the community level since this strategy can leverage self-consumption and increase its social impacts and economics. This research aims to develop a systematic framework that simulates and optimises community shared solar. The performance scenarios of two sustainable communities are simulated and presented as case studies. In the first scenario, each unit is connected to a small PV system. In the second scenario, all units are connected to a large PV system. Evidence-based Monte Carlo simulation is applied to ensure the stochasticity of the diverse household users. It is concluded that the community shared solar application is preferred over individual rooftop applications as the former secures the uniform distribution of generated electricity among the community members.
引用
收藏
页码:221 / 237
页数:17
相关论文
共 49 条
[1]  
Augustine Paul., 2015, The Electricity Journal, V28, P107, DOI DOI 10.1016/J.TEJ.2015.11.010
[2]   Predicting the energy production by solar photovoltaic systems in cold-climate regions [J].
Awad, Hadia ;
Gul, Mustafa ;
Salim, K. M. Emtiaz ;
Yu, Haitao .
INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY, 2018, 37 (10) :978-998
[3]  
Awad H., 2017, 5 IEEE C TECHN SUST
[4]  
Awad H., 2016, 4 IEEE C TECHN SUST
[5]   Load-match-driven design of solar PV systems at high latitudes in the Northern hemisphere and its impact on the grid [J].
Awad, Hadia ;
Gul, Mustafa .
SOLAR ENERGY, 2018, 173 :377-397
[7]   Community energy storage: A smart choice for the smart grid? [J].
Barbour, Edward ;
Parra, David ;
Awwad, Zeyad ;
Gonzalez, Marta C. .
APPLIED ENERGY, 2018, 212 :489-497
[8]   Planning of community-scale renewable energy management systems in a mixed stochastic and fuzzy environment [J].
Cai, Y. P. ;
Huang, G. H. ;
Tan, Q. ;
Yang, Z. F. .
RENEWABLE ENERGY, 2009, 34 (07) :1833-1847
[9]   Community-scale renewable energy systems planning under uncertainty-An interval chance-constrained programming approach [J].
Cai, Y. P. ;
Huang, G. H. ;
Yang, Z. F. ;
Lin, Q. G. ;
Tan, Q. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2009, 13 (04) :721-735
[10]   Design choices and equity implications of community shared solar [J].
Chan, Gabriel ;
Evans, Isaac ;
Grimley, Matthew ;
Ihde, Ben ;
Mazumder, Poulomi .
Electricity Journal, 2017, 30 (09) :37-41