Поиск по каталогу |
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
Electricity Generation Scenarios for Jordan (2018 - 2035).
В наличии
Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Farah Dawoud
ISBN: 9786139459902
Год издания: 2019
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 128
Издательство: LAP LAMBERT Academic Publishing
Цена: 30464 тг
Положить в корзину
Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
Курьерская доставка CDEK из города Москва |
Доставка Почтой России из города Москва |
Аннотация: The planning for strong, productive and sustainable electricity generation is complex and challenging in Jordan. Therefore in this book, a new approach for scenario planning has been conducted to give an effective tool for evaluating and examining the electricity generation technologies, for both conventional and renewable technologies, in Jordan. The aim of the scenarios is to prepare and implement innovative and robust plans for the electricity generation sector. Consequently, strengthen the readiness of the country to response to the growing demand and the emergency’s circumstance. Accordingly, four scenarios, for the electricity generation from renewable and conventional power plants in Jordan for the years (2018 – 2035), have been developed by building economic, environmental and social models. These four scenarios have been developed based on the most two key uncertainties that make a crucial threat on the electricity generation sector in Jordan, which are; the economic and the geopolitical uncertainties. Finally, this book identified the best power generation technologies from conventional and renewable systems, through conducting optimization process by using GAMS software.
Ключевые слова: Jordan, Conventional power plants, Renewable power plants, electricity generation, economic model, environmental model, Social Model, Optimization, Scenarios