Abstract
This chapter presents a method for determining the optimal capacity of
a renewable-energy-based energy conversion system for meeting the energy
requirements of a given district as considered on a monthly basis, with use of a
low-energy district heating system operating at a low temperature, as low as 55 °C for supply and 25 °C for return, and with additional considerations being directed to supply electricity and cooling. Several optimal solutions with various nominal capacities of the technologies involved were obtained in each of the two case studies, one being for the Greater Copenhagen Area, and the other for the Greater Toronto Area. Various climate conditions of the case areas in question caused different observations of nominal capacities for the energy conversion systems considered with single-production and multi-production based on different renewable energy sources.
a renewable-energy-based energy conversion system for meeting the energy
requirements of a given district as considered on a monthly basis, with use of a
low-energy district heating system operating at a low temperature, as low as 55 °C for supply and 25 °C for return, and with additional considerations being directed to supply electricity and cooling. Several optimal solutions with various nominal capacities of the technologies involved were obtained in each of the two case studies, one being for the Greater Copenhagen Area, and the other for the Greater Toronto Area. Various climate conditions of the case areas in question caused different observations of nominal capacities for the energy conversion systems considered with single-production and multi-production based on different renewable energy sources.
Original language | English |
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Title of host publication | Progress in Clean Energy |
Volume | 2 |
Publisher | Springer |
Publication date | 2015 |
Pages | 777-830 |
Chapter | 53 |
ISBN (Print) | 978-3-319-17030-5 |
ISBN (Electronic) | 978-3-319-17031-2 |
DOIs | |
Publication status | Published - 2015 |
Keywords
- Renewable energy
- Low-energy
- District heating
- Low-temperature
- District cooling
- Energy conversion system
- Municipal decision tool
- Exergoeconomy
- Lifecycle cost
- Optimization