Abstract
BackgroundEnergy systems for smart regions will require on the one hand a much higher share of renewable energy sources for heat and electricity and on the other hand a high standard integration of industry and utilities supplying households and businesses. As energy options become more diverse, integration of industry into the energy provision for settlements and vice versa become important from an economic and ecological point of view. A particular problem is the supply of bio-energy to large industrial complexes as this requires considerable efforts to manage resource provision as well as constructing smart systems to utilise available resources without posing direct competition to the supply of food and feed.MethodsThis paper will discuss the application of Process Network Synthesis (PNS) using the P-Graph method as a tool to generate optimal energy systems supplying industry with energy based on bio-resources in the context of a rural region and small urban centre. Application of these methods to a real life case study in an industrial city in rural context (Weiz in Austria) will be discussed from the viewpoint of general lessons to be learned from the design of complex energy systems linking different energy provision sources to supply industry and residential areas in a systemic way with energy.ResultsThe synthesis resulted in a basic optimal solution containing the economically most feasible regional energy-technology network. Scenarios show differences in resource use and the creation of revenue. Anaerobic digestion, CHP and wood gasification appear for most of the scenarios.ConclusionsThe case study shows that a support of large consumers with sustainable regional energy systems can already be realised with current market prices. Heat demand outside industry critically influences the economic success of regional technology networks. Feed-in tariffs remain as a key factor for the creation of revenue. As regional parameters like resource availability, prices and locations where technologies could be situated change, the economic success also changes. Price limits and stable technologies can be identified.
Highlights
Energy systems for smart regions will require on the one hand a much higher share of renewable energy sources for heat and electricity and on the other hand a high standard integration of industry and utilities supplying households and businesses
The energy technology network resulting from optimisation features a number of grid-overarching technologies that supply different distribution grids at the same time or may be used to switch between grids
Examples are combined heat and power (CHP) units that serve heat as well as electricity grids or biogas units that either serve CHP or may even serve gas grids when coupled with gas cleaning units
Summary
Energy systems for smart regions will require on the one hand a much higher share of renewable energy sources for heat and electricity and on the other hand a high standard integration of industry and utilities supplying households and businesses. The development and implementation of smart energy systems on the regional level requires co-operation and co-ordination of a large number of economic, social, political and administrative actors It is less a straightforward planning process than a deliberation process about future development. The objective of the study results in an adaptable optimum structure and scenarios which represent the existing technology network, available resources, prices, energy supply and demand situation of the region as well as possible new energy technologies. This model will be used as a decision-making support tool for a specific region in Austria. An integration of renewable technologies in energy supply networks has a promising potential to increase added municipal value [4]
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