Electricity Generation of Solar Photovoltaic System

The SPV electricity generation employs various cell technologies namely polycrystalline, mono crystalline, amorphous, CIGS cells. To evaluate the performance of SPV plant a mathematical model was generated base on empirical relations and performance was calculated under various conditions. The electrical output was calculated based on various parameters such as tilt angle, cell technology, radiation levels. Sensitivity analysis was also carried out at five different geographical locations namely New Delhi, Ladhak, Jodhpur Mumbai, and Bangalore. The result shows that electrical output is maximum for polycrystalline cell at a give location and at tilt angle of plus minus 50 of location. Jodhpur was found to be the best geographical local followed by New Delhi

Evaluation of non-cost factors affecting the life cycle cost: an exploratory study

Purpose: This paper aims to identify the main non-cost factors affecting accurate estimation of life cycle cost (LCC) in building projects. Design/methodology/approach: Ten factors affecting LCC in building project cost estimates are identified through literature and interviews. A questionnaire survey is conducted to rank these factors in order of priority and provide the views of cost practitioners about the significance of these factors in the accurate estimation of LCC. The data from 138 construction building projects completed in UK were collected and analysed via multiple regression to discover the relationship between capital and LCCs and between non-cost factors and cost estimation at each stage of the life cycle (capital, operation, maintenance and LCC). Findings: The results of analysis of existing LCC data of completing project and survey data from cost professionals are mostly consistent with many literature views and provide a reasonable description of the non-cost factors affecting the accuracy of estimates. Originality/value: The value of this study is in the method used, which involves analysis of existing life data and survey data from cost professionals. The results provide a plausible description of the non-cost factors affecting the accuracy of estimates