Skip to Main Content
 

Global Search Box

 
 
 

ETD Abstract Container

Abstract Header

Effective Load Carrying Capacity of Solar PV Plants: A case study across USA

Gami, Dhruv N

Abstract Details

2016, Master of Science, Ohio State University, Industrial and Systems Engineering.
Evaluating the capacity value of solar PV plants can pose significant challenges due to their dependence on geographic and climatic conditions, which are highly variable and uncertain. Also, the way the data are recorded gives a significant variation in capacity value estimates. In this dissertation, different capacity value metrics are reviewed, several case studies are summarized and capacity value using the Effective Load Carrying Capability (ELCC) metric is estimated for 100 MW PV plants located across North America. ELCC estimates using hourly and minute-based solar data are compared, ELCCs are computed after shifting the load data ahead and behind by one hour to account for the sloppiness in reporting load data, and ELCC estimates using modeled and measured solar data are compared.
Ramteen Sioshansi, Dr. (Advisor)
Antonio Conejo, Dr. (Committee Member)
59 p.

Recommended Citations

Citations

  • Gami, D. N. (2016). Effective Load Carrying Capacity of Solar PV Plants: A case study across USA [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461281022

    APA Style (7th edition)

  • Gami, Dhruv. Effective Load Carrying Capacity of Solar PV Plants: A case study across USA. 2016. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1461281022.

    MLA Style (8th edition)

  • Gami, Dhruv. "Effective Load Carrying Capacity of Solar PV Plants: A case study across USA." Master's thesis, Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461281022

    Chicago Manual of Style (17th edition)