<abstract> <p>Power sector plays a crucial role in the development of a country. Rise in population and industrial expansion in developing countries are reason to burdenize the central grid. Pakistan is a country in its developing stages. About 58% of its total energy generation is contributed by fossil fuel based conventional plants for which the fuel costs plenteous amount. In these circumstances it is indispensable to exploit naturally available renewable resources for electricity generation. This study proposes a hybrid hydro-kinetic/Photovoltaic/Biomass system integrated with grid to serve electricity in a residential area of district Kotli in AJK Pakistan. By evaluating available resources and total load demand data of residential consumers, a system design is modelled in HOMER to get techno-economic and optimal design analysis of the purposed system. Using several configurations and combinations of available energy generation systems and then by comparing their results, the most optimum system design is achieved in terms of initial cost, operating cost, cost per unit and net present cost of the system. To further refine the results, the effect of variations of different parameters like load demand, water flow speed and solar irradiance on system is investigated by performing sensitivity analysis on the system. Final results demonstrate that the purposed system is cost-effective and efficient to meet the load demand.</p> </abstract>
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.