Abstract
This study is based on optimization and simulation modelling of renewable energy system in rural area in India. The model we have designed provides an optimal system configuration based on hour-by-hour data for energy availability and demands.
This model produces a minimum cost design for an energy system as well as the capacities of each technology. This tells us how to configure the system to meet a specific set of demand and what such a system will cost. It consists of renewable resources and backup power stations to supply electricity and heat into industrial, commercial and residential end users.
In this study, the electricity market is supplied by the wind electricity, photovoltaic (PV), and backup generators (which is equivalent to un-served load in this model), and the heat market is supplied by biomass co-generation, geothermal heat pump (GHP), petroleum, and gas. The result of our analysis clearly shows the following: 1. About 79 percent reduction in carbon dioxide (CO2) emission can be obtained fairly inexpensively with renewable energy system.
2. PV can be used to reduce the need for peak fossil generation since the sun mostly shines during peak demand hours.
3. Combining the wind electricity with GHP, we can configure the optimal renewable energy system.
Introduction
In 1990’s, global environment concerns have been increasing. In particular, world attention has been focused on global warming caused by greenhouse gases such as CO2. In 1997, the 3rd session of the conference of the parties (COP3) was held in Kyoto, and the Kyoto protocol required reduction of greenhouse gases was adopted. In order to reduce greenhouse gases, clean energy is important. Because renewable energy sources don’t discharge any emissions, renewable energy is expected to play a major role in the 21st century. What is more, since the structure of