Abstract
Bioenergy villages’ local energy facilities produce electricity and heat for their inhabitants. This electricity is fed into the public grid with the heat distributed to the households via a local hot water grid. We use a linear mathematical model to simultaneously optimise the course of the heat supply network and the selection of households to be connected to the grid. In a first step, the heat distribution system is economically optimised. In a second step, we analyse the impacts of including social criteria and of varying parameters (e.g., prices). The model is applied to a small village with 24 households.
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Notes
- 1.
See Chap. 2 in this book.
- 2.
Here, “households” include public buildings, industrial enterprises, etc.
- 3.
Although payments are sometimes called “costs” here, “payments” is the correct term in economics theory, because only cash-effective amounts are considered.
- 4.
This grant is addressed in the formula below.
- 5.
- 6.
- 7.
Chap. 10 deals with bioenergy villages’ acceptance.
- 8.
For reasons of fairness, the other villagers cannot be excluded from the fee reduction.
- 9.
This analysis does not consider the question of liquidity. As noted, it is assumed that the capital needed to connect the households to the grid is completely self-financed. Decreasing the connection fee may therefore require some external financing.
- 10.
The various functions of the internal discount rate are described by Götze et al. (2007).
- 11.
At the same time, this buying price leads to a net present value of 0 if both summands are taken into account.
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Daub, A., Uhlemair, H., Ruwisch, V., Geldermann, J. (2013). Optimising Bioenergy Villages’ Local Heat Supply Networks. In: Ruppert, H., Kappas, M., Ibendorf, J. (eds) Sustainable Bioenergy Production - An Integrated Approach. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6642-6_8
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