Published September 5, 2016 | Version v1
Journal article

Techno-economic feasibility analysis of solar photovoltaic power generation for buildings

Description

Highlights: • A model for optimal component sizes of hybrid energy system (HES) is presented. • The techno-economic feasibility of PV for building in context of China is studied. • The use of PV reduces COE by 46% for customers in the commercial building. • The use of PV increases COE by 9.55% for customers in the residential building. - Abstract: The Building Added PV (BAPV) plays an important role for developing green buildings. This work conducts a techno-economic feasibility study of BAPV for commercial and residential building hybrid energy systems (HES). A component sizing model based on the optimal power dispatch simulations with the objective of minimum cost of energy (COE) is used to determine the component sizes of HES. The techno-economic performances of two HES composed of BAPV and batteries for residential and commercial buildings are investigated. The results show that the use of BAPV in the commercial building HES can reduce the electricity bill for customers owing to the government subsidies on PV as well as due to the similar characteristics of the load profile as to the solar radiation profile. However, due to temporal dislocation between the load and solar radiation patterns, the use of PV in the residential building HES may significantly increase the initial capital cost and replacement cost of battery, resulting in the COE of the residential building HES with BAPV even higher than the residential electricity price. The techno-economic performances of battery (e.g., the lifetime and capital cost) have more effect on the COE of the residential building HES than that of PV.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.applthermaleng.2016.07.199

Additional details

Identifiers

DOI
10.1016/j.applthermaleng.2016.07.199;
PII
S1359-4311(16)31344-8;

Publishing Information

Journal Title
Applied Thermal Engineering
Journal Volume
108
Journal Page Range
p. 1362-1371
ISSN
1359-4311
CODEN
ATENFT

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.