Modeling the Transformation of the German Energy System Until 2050:A Multi-Criteria, Long Term Optimization Problem with Many Constraints

Michael Breitner ()

A chapter in Operations Research Proceedings 2012, 2014, pp 369-374 from Springer

Abstract: Abstract Today only 13 % of Germany’s energy demand of 2,500 TWh (1 Terawatt for p.a. for living, traffic and electricity is met with renewable energy sources. Total energy costs reach 300 billion Euro per year and imported fossil fuels reach 100 billion Euro per year. Significant parts of renewable power plants, e.g. wind turbines and photovoltaic cells, are also mainly imported, today. For the next decades Germany needs a careful and energy/cost-efficient transformation to a reliable and affordable energy system with a rapidly increasing share of renewable energy sources. Trillion of Euro total investments are necessary to build up renewable energy generation, storage, transformation and transportation. Power plants, vehicles, heater/air conditioner and boiler etc. must be replaced step by step in the next decades. Finance and risk management alternatives are important. Value creation chains and networks and the effects on the German labor market, Germany’s state taxes, Germany’s gross national product, and Germany’s trade balance are interesting, too. For holistic, techno-economic scenario analyses and optimization a multi-criteria, long term simulation and optimization model with many constraints is discussed which forms the basis for an interdisciplinary research project that has already started

Keywords: Renewable Energy; Heat Pump; Renewable Electricity; Energy Infrastructure; Total Energy Cost (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-00795-3_55

Ordering information: This item can be ordered from
http://www.springer.com/9783319007953

DOI: 10.1007/978-3-319-00795-3_55

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().