학술논문

Hydrogen energy storage based green power plant in seashore of Bangladesh: Design and optimal cost analysis
Document Type
Conference
Source
2017 International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT) Innovations in Green Energy and Healthcare Technologies (IGEHT), 2017 International Conference on. :1-5 Mar, 2017
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Hydrogen
Production
Green products
Generators
Fuels
Wind speed
Power generation
Sustainable energy
hydrogen energy
peak load
cost effective
harmonics distortion
green house gas
Language
Abstract
Adequate energy supply capability is the key factor for the development of any country. Despite of having enormous energy resources, Bangladesh is facing acute shortage of Electricity and needs to enhance the power generation capacity to support the rising demand. Power production and its related environmental issues are becoming a major concern to our country. Effective and efficient use of sustainable energy sources will be an environment friendly attempt towards reducing power crisis. In this paper we came up with an idea to establish a green (environment friendly) power plant at various seashores throughout the country, based on hydrogen energy storage. Proposed power plant will store solar and wind energy using hydrogen storage which is a green fuel to generate electricity during peak load demand. For design and optimization, we have chosen Patenga seashore where wind flow is reasonable as well as the solar radiation is optimal. The major objective of this proposed optimized design to be able to meet peak load demand using hydrogen energy with low THD (total harmonics distortion) and also reduce the GHG (Green Houses Gas) emission. Here, HOMER is used to examine the most cost effective configurations among a set of systems for electricity requirement of 8 MWh/day peak load demand in patenga.